[ https://issues.apache.org/jira/browse/STDCXX397?page=com.atlassian.jira.plugin.system.issuetabpanels:alltabpanel ]
Martin Sebor reassigned STDCXX397:

Assignee: Martin Sebor
> std::sort introsort implementation error
> 
>
> Key: STDCXX397
> URL: https://issues.apache.org/jira/browse/STDCXX397
> 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 worstcase 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
> 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 realrecursion case is failing to decrement __max_depth until it starts working on the left half. You can see how if the algorithm continually built righthalves 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
> 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 worstcase sample set that I have generated.
> I look forward to your response,
> joshua lehrer
> http://www.lehrerfamily.com/

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