blob: e7f8ce1922620840b30b1764a867e6ace29709f4 [file] [log] [blame]
from __future__ import print_function
import sys
import numpy
import graph_generate
def index_function_name(name):
return "%sIndex" % name
def path_function_name(name):
return "Make%sPath" % name
def add_edge(cc_file, name, segment, index, reverse):
cc_file.append(" // Adding edge %d" % index)
vmax = "vmax"
if segment.vmax:
vmax = "::std::min(vmax, %f)" % segment.vmax
alpha_unitizer = "alpha_unitizer"
if segment.alpha_unitizer is not None:
alpha_unitizer = "(::Eigen::Matrix<double, 2, 2>() << %f, %f, %f, %f).finished()" % (
segment.alpha_unitizer[0, 0], segment.alpha_unitizer[0, 1],
segment.alpha_unitizer[1, 0], segment.alpha_unitizer[1, 1])
cc_file.append(" trajectories->emplace_back(%s," % (vmax))
cc_file.append(" %s," % (alpha_unitizer))
if reverse:
cc_file.append(
" Trajectory(Path::Reversed(%s()), 0.005));"
% (path_function_name(str(name))))
else:
cc_file.append(
" Trajectory(%s(), 0.005));" %
(path_function_name(str(name))))
start_index = None
end_index = None
for point, name in graph_generate.points:
if (point == segment.start).all():
start_index = name
if (point == segment.end).all():
end_index = name
if reverse:
start_index, end_index = end_index, start_index
cc_file.append(
" edges.push_back(SearchGraph::Edge{%s(), %s()," %
(index_function_name(start_index), index_function_name(end_index)))
cc_file.append(
" (trajectories->back().trajectory.path().length() + 0.2)});"
)
# TODO(austin): Allow different vmaxes for different paths.
cc_file.append(" trajectories->back().trajectory.OptimizeTrajectory(")
cc_file.append(" trajectories->back().alpha_unitizer,")
cc_file.append(" trajectories->back().vmax);")
cc_file.append("")
def main(argv):
cc_file = []
cc_file.append(
"#include \"y2018/control_loops/superstructure/arm/generated_graph.h\""
)
cc_file.append("")
cc_file.append("#include <memory>")
cc_file.append("")
cc_file.append(
"#include \"y2018/control_loops/superstructure/arm/trajectory.h\"")
cc_file.append(
"#include \"y2018/control_loops/superstructure/arm/graph.h\"")
cc_file.append("")
cc_file.append("namespace y2018 {")
cc_file.append("namespace control_loops {")
cc_file.append("namespace superstructure {")
cc_file.append("namespace arm {")
h_file = []
h_file.append(
"#ifndef Y2018_CONTROL_LOOPS_SUPERSTRUCTURE_ARM_GENERATED_GRAPH_H_")
h_file.append(
"#define Y2018_CONTROL_LOOPS_SUPERSTRUCTURE_ARM_GENERATED_GRAPH_H_")
h_file.append("")
h_file.append("#include <memory>")
h_file.append("")
h_file.append(
"#include \"y2018/control_loops/superstructure/arm/trajectory.h\"")
h_file.append(
"#include \"y2018/control_loops/superstructure/arm/graph.h\"")
h_file.append("")
h_file.append("namespace y2018 {")
h_file.append("namespace control_loops {")
h_file.append("namespace superstructure {")
h_file.append("namespace arm {")
h_file.append("")
h_file.append("struct TrajectoryAndParams {")
h_file.append(" TrajectoryAndParams(double new_vmax,")
h_file.append(
" const ::Eigen::Matrix<double, 2, 2> &new_alpha_unitizer,"
)
h_file.append(" Trajectory &&new_trajectory)")
h_file.append(" : vmax(new_vmax),")
h_file.append(" alpha_unitizer(new_alpha_unitizer),")
h_file.append(" trajectory(::std::move(new_trajectory)) {}")
h_file.append(" double vmax;")
h_file.append(" ::Eigen::Matrix<double, 2, 2> alpha_unitizer;")
h_file.append(" Trajectory trajectory;")
h_file.append("};")
h_file.append("")
# Now dump out the vertices and associated constexpr vertex name functions.
for index, point in enumerate(graph_generate.points):
h_file.append("")
h_file.append("constexpr uint32_t %s() { return %d; }" %
(index_function_name(point[1]), index))
h_file.append("inline ::Eigen::Matrix<double, 2, 1> %sPoint() {" %
point[1])
h_file.append(
" return (::Eigen::Matrix<double, 2, 1>() << %f, %f).finished();"
% (numpy.pi / 2.0 - point[0][0], numpy.pi / 2.0 - point[0][1]))
h_file.append("}")
front_points = [
index_function_name(point[1]) + "()"
for point in graph_generate.front_points
]
h_file.append("")
h_file.append("constexpr ::std::array<uint32_t, %d> FrontPoints() {" %
len(front_points))
h_file.append(" return ::std::array<uint32_t, %d>{{%s}};" %
(len(front_points), ", ".join(front_points)))
h_file.append("}")
back_points = [
index_function_name(point[1]) + "()"
for point in graph_generate.back_points
]
h_file.append("")
h_file.append("constexpr ::std::array<uint32_t, %d> BackPoints() {" %
len(back_points))
h_file.append(" return ::std::array<uint32_t, %d>{{%s}};" %
(len(back_points), ", ".join(back_points)))
h_file.append("}")
# Add the Make*Path functions.
h_file.append("")
cc_file.append("")
for name, segment in list(enumerate(graph_generate.unnamed_segments)) + [
(x.name, x) for x in graph_generate.named_segments
]:
h_file.append("::std::unique_ptr<Path> %s();" %
path_function_name(name))
cc_file.append("::std::unique_ptr<Path> %s() {" %
path_function_name(name))
cc_file.append(" return ::std::unique_ptr<Path>(new Path({")
for point in segment.ToThetaPoints():
cc_file.append(" {{%.12f, %.12f, %.12f," %
(numpy.pi / 2.0 - point[0],
numpy.pi / 2.0 - point[1], -point[2]))
cc_file.append(" %.12f, %.12f, %.12f}}," %
(-point[3], -point[4], -point[5]))
cc_file.append(" }));")
cc_file.append("}")
# Matrix of nodes
h_file.append("::std::vector<::Eigen::Matrix<double, 2, 1>> PointList();")
cc_file.append(
"::std::vector<::Eigen::Matrix<double, 2, 1>> PointList() {")
cc_file.append(" ::std::vector<::Eigen::Matrix<double, 2, 1>> points;")
for point in graph_generate.points:
cc_file.append(
" points.push_back((::Eigen::Matrix<double, 2, 1>() << %.12s, %.12s).finished());"
% (numpy.pi / 2.0 - point[0][0], numpy.pi / 2.0 - point[0][1]))
cc_file.append(" return points;")
cc_file.append("}")
# Now create the MakeSearchGraph function.
h_file.append("")
h_file.append("// Builds a search graph.")
h_file.append("SearchGraph MakeSearchGraph("
"::std::vector<TrajectoryAndParams> *trajectories,")
h_file.append(" "
"const ::Eigen::Matrix<double, 2, 2> &alpha_unitizer,")
h_file.append(" double vmax);")
cc_file.append("SearchGraph MakeSearchGraph("
"::std::vector<TrajectoryAndParams> *trajectories,")
cc_file.append(" "
"const ::Eigen::Matrix<double, 2, 2> &alpha_unitizer,")
cc_file.append(" "
"double vmax) {")
cc_file.append(" ::std::vector<SearchGraph::Edge> edges;")
index = 0
segments_and_names = list(enumerate(graph_generate.unnamed_segments)) + [
(x.name, x) for x in graph_generate.named_segments
]
for name, segment in segments_and_names:
add_edge(cc_file, name, segment, index, False)
index += 1
add_edge(cc_file, name, segment, index, True)
index += 1
cc_file.append(" return SearchGraph(%d, ::std::move(edges));" %
len(graph_generate.points))
cc_file.append("}")
h_file.append("")
h_file.append("} // namespace arm")
h_file.append("} // namespace superstructure")
h_file.append("} // namespace control_loops")
h_file.append("} // namespace y2018")
h_file.append("")
h_file.append(
"#endif // Y2018_CONTROL_LOOPS_SUPERSTRUCTURE_ARM_GENERATED_GRAPH_H_")
cc_file.append("} // namespace arm")
cc_file.append("} // namespace superstructure")
cc_file.append("} // namespace control_loops")
cc_file.append("} // namespace y2018")
if len(argv) == 3:
with open(argv[1], "w") as hfd:
hfd.write("\n".join(h_file))
with open(argv[2], "w") as ccfd:
ccfd.write("\n".join(cc_file))
else:
print("\n".join(h_file))
print("\n".join(cc_file))
if __name__ == '__main__':
main(sys.argv)