Squashed 'third_party/boostorg/move/' content from commit d503fbe

Change-Id: I5f8ac37161a1044b02ffb1f59cf15622fc6acd17
git-subtree-dir: third_party/boostorg/move
git-subtree-split: d503fbe1c8334fa8885e67cb83c96aeaf3938555
diff --git a/include/boost/move/algo/adaptive_merge.hpp b/include/boost/move/algo/adaptive_merge.hpp
new file mode 100644
index 0000000..4de4007
--- /dev/null
+++ b/include/boost/move/algo/adaptive_merge.hpp
@@ -0,0 +1,343 @@
+//////////////////////////////////////////////////////////////////////////////
+//
+// (C) Copyright Ion Gaztanaga 2015-2016.
+// Distributed under the Boost Software License, Version 1.0.
+// (See accompanying file LICENSE_1_0.txt or copy at
+// http://www.boost.org/LICENSE_1_0.txt)
+//
+// See http://www.boost.org/libs/move for documentation.
+//
+//////////////////////////////////////////////////////////////////////////////
+
+#ifndef BOOST_MOVE_ADAPTIVE_MERGE_HPP
+#define BOOST_MOVE_ADAPTIVE_MERGE_HPP
+
+#include <boost/move/detail/config_begin.hpp>
+#include <boost/move/algo/detail/adaptive_sort_merge.hpp>
+
+namespace boost {
+namespace movelib {
+
+///@cond
+namespace detail_adaptive {
+
+template<class RandIt, class Compare, class XBuf>
+inline void adaptive_merge_combine_blocks( RandIt first
+                                      , typename iterator_traits<RandIt>::size_type len1
+                                      , typename iterator_traits<RandIt>::size_type len2
+                                      , typename iterator_traits<RandIt>::size_type collected
+                                      , typename iterator_traits<RandIt>::size_type n_keys
+                                      , typename iterator_traits<RandIt>::size_type l_block
+                                      , bool use_internal_buf
+                                      , bool xbuf_used
+                                      , Compare comp
+                                      , XBuf & xbuf
+                                      )
+{
+   typedef typename iterator_traits<RandIt>::size_type size_type;
+   size_type const len = len1+len2;
+   size_type const l_combine  = len-collected;
+   size_type const l_combine1 = len1-collected;
+
+    if(n_keys){
+      RandIt const first_data = first+collected;
+      RandIt const keys = first;
+      BOOST_MOVE_ADAPTIVE_SORT_PRINT_L2("   A combine: ", len);
+      if(xbuf_used){
+         if(xbuf.size() < l_block){
+            xbuf.initialize_until(l_block, *first);
+         }
+         BOOST_ASSERT(xbuf.size() >= l_block);
+         size_type n_block_a, n_block_b, l_irreg1, l_irreg2;
+         combine_params( keys, comp, l_combine
+                           , l_combine1, l_block, xbuf
+                           , n_block_a, n_block_b, l_irreg1, l_irreg2);   //Outputs
+         op_merge_blocks_with_buf
+            (keys, comp, first_data, l_block, l_irreg1, n_block_a, n_block_b, l_irreg2, comp, move_op(), xbuf.data());
+         BOOST_MOVE_ADAPTIVE_SORT_PRINT_L1("   A mrg xbf: ", len);
+      }
+      else{
+         size_type n_block_a, n_block_b, l_irreg1, l_irreg2;
+         combine_params( keys, comp, l_combine
+                           , l_combine1, l_block, xbuf
+                           , n_block_a, n_block_b, l_irreg1, l_irreg2);   //Outputs
+         if(use_internal_buf){
+            op_merge_blocks_with_buf
+               (keys, comp, first_data, l_block, l_irreg1, n_block_a, n_block_b, l_irreg2, comp, swap_op(), first_data-l_block);
+            BOOST_MOVE_ADAPTIVE_SORT_PRINT_L2("   A mrg buf: ", len);
+         }
+         else{
+            merge_blocks_bufferless
+               (keys, comp, first_data, l_block, l_irreg1, n_block_a, n_block_b, l_irreg2, comp);
+            BOOST_MOVE_ADAPTIVE_SORT_PRINT_L1("   A mrg nbf: ", len);
+         }
+      }
+   }
+   else{
+      xbuf.shrink_to_fit(l_block);
+      if(xbuf.size() < l_block){
+         xbuf.initialize_until(l_block, *first);
+      }
+      size_type *const uint_keys = xbuf.template aligned_trailing<size_type>(l_block);
+      size_type n_block_a, n_block_b, l_irreg1, l_irreg2;
+      combine_params( uint_keys, less(), l_combine
+                     , l_combine1, l_block, xbuf
+                     , n_block_a, n_block_b, l_irreg1, l_irreg2, true);   //Outputs
+      BOOST_MOVE_ADAPTIVE_SORT_PRINT_L2("   A combine: ", len);
+      BOOST_ASSERT(xbuf.size() >= l_block);
+      op_merge_blocks_with_buf
+         (uint_keys, less(), first, l_block, l_irreg1, n_block_a, n_block_b, l_irreg2, comp, move_op(), xbuf.data());
+      xbuf.clear();
+      BOOST_MOVE_ADAPTIVE_SORT_PRINT_L1("   A mrg buf: ", len);
+   }
+}
+
+template<class RandIt, class Compare, class XBuf>
+inline void adaptive_merge_final_merge( RandIt first
+                                      , typename iterator_traits<RandIt>::size_type len1
+                                      , typename iterator_traits<RandIt>::size_type len2
+                                      , typename iterator_traits<RandIt>::size_type collected
+                                      , typename iterator_traits<RandIt>::size_type l_intbuf
+                                      , typename iterator_traits<RandIt>::size_type l_block
+                                      , bool use_internal_buf
+                                      , bool xbuf_used
+                                      , Compare comp
+                                      , XBuf & xbuf
+                                      )
+{
+   typedef typename iterator_traits<RandIt>::size_type size_type;
+   (void)l_block;
+   size_type n_keys = collected-l_intbuf;
+   size_type len = len1+len2;
+   if(use_internal_buf){
+      if(xbuf_used){
+         xbuf.clear();
+         //Nothing to do
+         if(n_keys){
+            unstable_sort(first, first+n_keys, comp, xbuf);
+            stable_merge(first, first+n_keys, first+len, comp, xbuf);
+            BOOST_MOVE_ADAPTIVE_SORT_PRINT_L2("   A key mrg: ", len);
+         }
+      }
+      else{
+         xbuf.clear();
+         unstable_sort(first, first+collected, comp, xbuf);
+         BOOST_MOVE_ADAPTIVE_SORT_PRINT_L2("   A k/b srt: ", len);
+         stable_merge(first, first+collected, first+len, comp, xbuf);
+         BOOST_MOVE_ADAPTIVE_SORT_PRINT_L2("   A k/b mrg: ", len);
+      }
+   }
+   else{
+      xbuf.clear();
+      unstable_sort(first, first+collected, comp, xbuf);
+      BOOST_MOVE_ADAPTIVE_SORT_PRINT_L2("   A k/b srt: ", len);
+      stable_merge(first, first+collected, first+len1+len2, comp, xbuf);
+      BOOST_MOVE_ADAPTIVE_SORT_PRINT_L2("   A k/b mrg: ", len);
+   }
+   BOOST_MOVE_ADAPTIVE_SORT_PRINT_L1("   A fin mrg: ", len);
+}
+
+template<class SizeType>
+inline static SizeType adaptive_merge_n_keys_without_external_keys(SizeType l_block, SizeType len1, SizeType len2, SizeType l_intbuf)
+{
+   typedef SizeType size_type;
+   //This is the minimum number of keys to implement the ideal algorithm
+   size_type n_keys = len1/l_block+len2/l_block;
+   const size_type second_half_blocks = len2/l_block;
+   const size_type first_half_aux = len1-l_intbuf;
+   while(n_keys >= ((first_half_aux-n_keys)/l_block + second_half_blocks)){
+      --n_keys;
+   }
+   ++n_keys;
+   return n_keys;
+}
+
+template<class SizeType>
+inline static SizeType adaptive_merge_n_keys_with_external_keys(SizeType l_block, SizeType len1, SizeType len2, SizeType l_intbuf)
+{
+   typedef SizeType size_type;
+   //This is the minimum number of keys to implement the ideal algorithm
+   size_type n_keys = (len1-l_intbuf)/l_block + len2/l_block;
+   return n_keys;
+}
+
+template<class SizeType, class Xbuf>
+inline SizeType adaptive_merge_n_keys_intbuf(SizeType &rl_block, SizeType len1, SizeType len2, Xbuf & xbuf, SizeType &l_intbuf_inout)
+{
+   typedef SizeType size_type;
+   size_type l_block = rl_block;
+   size_type l_intbuf = xbuf.capacity() >= l_block ? 0u : l_block;
+
+   while(xbuf.capacity() >= l_block*2){
+      l_block *= 2;
+   }
+
+   //This is the minimum number of keys to implement the ideal algorithm
+   size_type n_keys = adaptive_merge_n_keys_without_external_keys(l_block, len1, len2, l_intbuf);
+   BOOST_ASSERT(n_keys >= ((len1-l_intbuf-n_keys)/l_block + len2/l_block));
+
+   if(xbuf.template supports_aligned_trailing<size_type>
+      ( l_block
+      , adaptive_merge_n_keys_with_external_keys(l_block, len1, len2, l_intbuf)))
+   {
+      n_keys = 0u;
+   }
+   l_intbuf_inout = l_intbuf;
+   rl_block = l_block;
+   return n_keys;
+}
+
+// Main explanation of the merge algorithm.
+//
+// csqrtlen = ceil(sqrt(len));
+//
+// * First, csqrtlen [to be used as buffer] + (len/csqrtlen - 1) [to be used as keys] => to_collect
+//   unique elements are extracted from elements to be sorted and placed in the beginning of the range.
+//
+// * Step "combine_blocks": the leading (len1-to_collect) elements plus trailing len2 elements
+//   are merged with a non-trivial ("smart") algorithm to form an ordered range trailing "len-to_collect" elements.
+//
+//   Explanation of the "combine_blocks" step:
+//
+//         * Trailing [first+to_collect, first+len1) elements are divided in groups of cqrtlen elements.
+//           Remaining elements that can't form a group are grouped in front of those elements.
+//         * Trailing [first+len1, first+len1+len2) elements are divided in groups of cqrtlen elements.
+//           Remaining elements that can't form a group are grouped in the back of those elements.
+//         * In parallel the following two steps are performed:
+//             *  Groups are selection-sorted by first or last element (depending whether they are going
+//                to be merged to left or right) and keys are reordered accordingly as an imitation-buffer.
+//             * Elements of each block pair are merged using the csqrtlen buffer taking into account
+//                if they belong to the first half or second half (marked by the key).
+//
+// * In the final merge step leading "to_collect" elements are merged with rotations
+//   with the rest of merged elements in the "combine_blocks" step.
+//
+// Corner cases:
+//
+// * If no "to_collect" elements can be extracted:
+//
+//    * If more than a minimum number of elements is extracted
+//      then reduces the number of elements used as buffer and keys in the
+//      and "combine_blocks" steps. If "combine_blocks" has no enough keys due to this reduction
+//      then uses a rotation based smart merge.
+//
+//    * If the minimum number of keys can't be extracted, a rotation-based merge is performed.
+//
+// * If auxiliary memory is more or equal than min(len1, len2), a buffered merge is performed.
+//
+// * If the len1 or len2 are less than 2*csqrtlen then a rotation-based merge is performed.
+//
+// * If auxiliary memory is more than csqrtlen+n_keys*sizeof(std::size_t),
+//   then no csqrtlen need to be extracted and "combine_blocks" will use integral
+//   keys to combine blocks.
+template<class RandIt, class Compare, class XBuf>
+void adaptive_merge_impl
+   ( RandIt first
+   , typename iterator_traits<RandIt>::size_type len1
+   , typename iterator_traits<RandIt>::size_type len2
+   , Compare comp
+   , XBuf & xbuf
+   )
+{
+   typedef typename iterator_traits<RandIt>::size_type size_type;
+
+   if(xbuf.capacity() >= min_value<size_type>(len1, len2)){
+      buffered_merge(first, first+len1, first+(len1+len2), comp, xbuf);
+   }
+   else{
+      const size_type len = len1+len2;
+      //Calculate ideal parameters and try to collect needed unique keys
+      size_type l_block = size_type(ceil_sqrt(len));
+
+      //One range is not big enough to extract keys and the internal buffer so a
+      //rotation-based based merge will do just fine
+      if(len1 <= l_block*2 || len2 <= l_block*2){
+         merge_bufferless(first, first+len1, first+len1+len2, comp);
+         return;
+      }
+
+      //Detail the number of keys and internal buffer. If xbuf has enough memory, no
+      //internal buffer is needed so l_intbuf will remain 0.
+      size_type l_intbuf = 0;
+      size_type n_keys = adaptive_merge_n_keys_intbuf(l_block, len1, len2, xbuf, l_intbuf);
+      size_type const to_collect = l_intbuf+n_keys;
+      //Try to extract needed unique values from the first range
+      size_type const collected  = collect_unique(first, first+len1, to_collect, comp, xbuf);
+      BOOST_MOVE_ADAPTIVE_SORT_PRINT_L1("\n   A collect: ", len);
+
+      //Not the minimum number of keys is not available on the first range, so fallback to rotations
+      if(collected != to_collect && collected < 4){
+         merge_bufferless(first, first+collected, first+len1, comp);
+         merge_bufferless(first, first + len1, first + len1 + len2, comp);
+         return;
+      }
+
+      //If not enough keys but more than minimum, adjust the internal buffer and key count
+      bool use_internal_buf = collected == to_collect;
+      if (!use_internal_buf){
+         l_intbuf = 0u;
+         n_keys = collected;
+         l_block  = lblock_for_combine(l_intbuf, n_keys, len, use_internal_buf);
+         //If use_internal_buf is false, then then internal buffer will be zero and rotation-based combination will be used
+         l_intbuf = use_internal_buf ? l_block : 0u;
+      }
+
+      bool const xbuf_used = collected == to_collect && xbuf.capacity() >= l_block;
+      //Merge trailing elements using smart merges
+      adaptive_merge_combine_blocks(first, len1, len2, collected,   n_keys, l_block, use_internal_buf, xbuf_used, comp, xbuf);
+      //Merge buffer and keys with the rest of the values
+      adaptive_merge_final_merge   (first, len1, len2, collected, l_intbuf, l_block, use_internal_buf, xbuf_used, comp, xbuf);
+   }
+}
+
+}  //namespace detail_adaptive {
+
+///@endcond
+
+//! <b>Effects</b>: Merges two consecutive sorted ranges [first, middle) and [middle, last)
+//!   into one sorted range [first, last) according to the given comparison function comp.
+//!   The algorithm is stable (if there are equivalent elements in the original two ranges,
+//!   the elements from the first range (preserving their original order) precede the elements
+//!   from the second range (preserving their original order).
+//!
+//! <b>Requires</b>:
+//!   - RandIt must meet the requirements of ValueSwappable and RandomAccessIterator.
+//!   - The type of dereferenced RandIt must meet the requirements of MoveAssignable and MoveConstructible.
+//!
+//! <b>Parameters</b>:
+//!   - first: the beginning of the first sorted range. 
+//!   - middle: the end of the first sorted range and the beginning of the second
+//!   - last: the end of the second sorted range
+//!   - comp: comparison function object which returns true if the first argument is is ordered before the second.
+//!   - uninitialized, uninitialized_len: raw storage starting on "uninitialized", able to hold "uninitialized_len"
+//!      elements of type iterator_traits<RandIt>::value_type. Maximum performance is achieved when uninitialized_len
+//!      is min(std::distance(first, middle), std::distance(middle, last)).
+//!
+//! <b>Throws</b>: If comp throws or the move constructor, move assignment or swap of the type
+//!   of dereferenced RandIt throws.
+//!
+//! <b>Complexity</b>: Always K x O(N) comparisons and move assignments/constructors/swaps.
+//!   Constant factor for comparisons and data movement is minimized when uninitialized_len
+//!   is min(std::distance(first, middle), std::distance(middle, last)).
+//!   Pretty good enough performance is achieved when uninitialized_len is
+//!   ceil(sqrt(std::distance(first, last)))*2.
+//!
+//! <b>Caution</b>: Experimental implementation, not production-ready.
+template<class RandIt, class Compare>
+void adaptive_merge( RandIt first, RandIt middle, RandIt last, Compare comp
+                , typename iterator_traits<RandIt>::value_type* uninitialized = 0
+                , std::size_t uninitialized_len = 0)
+{
+   typedef typename iterator_traits<RandIt>::size_type  size_type;
+   typedef typename iterator_traits<RandIt>::value_type value_type;
+
+   ::boost::movelib::detail_adaptive::adaptive_xbuf<value_type> xbuf(uninitialized, uninitialized_len);
+   ::boost::movelib::detail_adaptive::adaptive_merge_impl(first, size_type(middle - first), size_type(last - middle), comp, xbuf);
+}
+
+}  //namespace movelib {
+}  //namespace boost {
+
+#include <boost/move/detail/config_end.hpp>
+
+#endif   //#define BOOST_MOVE_ADAPTIVE_MERGE_HPP