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  1. C++ Standard Library
  2. STDCXX-397

std::sort introsort implementation error

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Details

    • Bug
    • Status: Resolved
    • Major
    • Resolution: Fixed
    • 4.1.3
    • 4.2.0
    • 25. Algorithms
    • None
    • Bug in algorithm.cc effects all platforms

    Description

      introsort is designed to detect when an input set would push quicksort into its worst-case scenario N^2 and fall back on a slower, yet still NLogN algorithm.

      The implementation in __introsort_loop has a bug, however, and it fails to catch all of the scenarios. While I can not supply an exact input set to demonstrate the bug, I can explain the bug very easily.

      First, allow me to paste in the code:

      // David R. Musser's Introspective Sorting algorithm
      // O(N * log (N)) worst case complexity
      _EXPORT
      template <class _RandomAccessIter, class _Dist, class _Compare>
      void __introsort_loop (_RandomAccessIter __first, _RandomAccessIter __last,
      _Dist __max_depth, _Compare __comp)
      {
      for (; __last - __first > __rw_threshold; __max_depth /= 2) {
      if (0 == __max_depth)

      { __partial_sort (__first, __last, __last, _RWSTD_VALUE_TYPE (_RandomAccessIter), __comp); break; }

      _RandomAccessIter __cut =
      _unguarded_partition (_first, __last,
      _median (*_first,
      *(_first + (_last - __first) /2),
      *(__last - 1), __comp), __comp);

      // limit the depth of the recursion tree to log2 (last - first)
      // where first and last are the initial values passed in from sort()
      _introsort_loop (_cut, __last, __max_depth, __comp);
      __last = __cut;
      }
      }

      the variable '__max_depth' is supposed to be cut in half on each subsequent "recursive" call. Once it reaches zero, LogN recurisve calls have been made, and the algorithm falls back on a different sorting algorithm for the remainder.

      The algorithm, as implemented, uses real recursion and tail recursion.

      First, the pivot is selected, the pivot is done, and the algorithm has a left and a right half, hopefully balanced.

      Consider what happens for the LEFT half, which is done using tail recursion. '_last' gets assigned 'cut', then the code goes to the top of the 'for' loop. The test condition of the loop is run, which divides '_max_depth' by two, bringing it closer to zero.

      Now consider what happens for the RIGHT half, which is done using real recursion. The function is called recurisvely on the right. __max_depth is NOT cut in half.

      What would happen if a poor pivot was selected causing the right half to be large and the left half to be small? What if that happens again and again? The real-recursion case is failing to decrement __max_depth until it starts working on the left half. You can see how if the algorithm continually built right-halves that were relatively large that __max_depth never gets decremented, and the algorithm never detects that it has made LogN recurisve calls.

      I believe the proper fix is as follows:


      // David R. Musser's Introspective Sorting algorithm
      // O(N * log (N)) worst case complexity
      _EXPORT
      template <class _RandomAccessIter, class _Dist, class _Compare>
      void __introsort_loop (_RandomAccessIter __first, _RandomAccessIter __last,
      _Dist __max_depth, _Compare __comp)
      {
      for (; __last - __first > __rw_threshold; ) {
      if (0 == __max_depth) { __partial_sort (__first, __last, __last, _RWSTD_VALUE_TYPE (_RandomAccessIter), __comp); break; }

      _RandomAccessIter __cut =
      _unguarded_partition (_first, __last,
      _median (*_first,
      *(_first + (_last - __first) /2),
      *(__last - 1), __comp), __comp);

      // limit the depth of the recursion tree to log2 (last - first)
      // where first and last are the initial values passed in from sort()
      __max_depth /= 2;
      _introsort_loop (_cut, __last, __max_depth, __comp);
      __last = __cut;
      }
      }

      "__max_depth/=2" is removed from the "for" loop and placed just above the two recursive calls.

      This fixes the worst-case sample set that I have generated.

      I look forward to your response,

      joshua lehrer
      http://www.lehrerfamily.com/

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              sebor Martin Sebor
              jlehrer Joshua Lehrer
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                Updated:
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