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Posted to dev@stdcxx.apache.org by "Martin Sebor (JIRA)" <ji...@apache.org> on 2007/04/30 22:09:15 UTC

[jira] Assigned: (STDCXX-397) std::sort introsort implementation error

     [ https://issues.apache.org/jira/browse/STDCXX-397?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Martin Sebor reassigned STDCXX-397:
-----------------------------------

    Assignee: Martin Sebor

> std::sort introsort implementation error
> ----------------------------------------
>
>                 Key: STDCXX-397
>                 URL: https://issues.apache.org/jira/browse/STDCXX-397
>             Project: C++ Standard Library
>          Issue Type: Bug
>          Components: 25. Algorithms
>    Affects Versions: 4.1.3
>         Environment: Bug in algorithm.cc effects all platforms
>            Reporter: Joshua Lehrer
>         Assigned To: Martin Sebor
>
> 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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