///////////////////////////////////////////////////////////////////////////////
// Copyright (c) Electronic Arts Inc. All rights reserved.
//////////////////////////////////////////////////////////////////////////////

//////////////////////////////////////////////////////////////////////////////
// This file implements sorting algorithms. Some of these are equivalent to 
// std C++ sorting algorithms, while others don't have equivalents in the 
// C++ standard. We implement the following sorting algorithms:
//    is_sorted             -- 
//    sort                  -- Unstable.    The implementation of this is mapped to quick_sort by default.
//    quick_sort            -- Unstable.    This is actually an intro-sort (quick sort with switch to insertion sort).
//    tim_sort              -- Stable.
//    tim_sort_buffer       -- Stable.
//    partial_sort          -- Unstable.
//    insertion_sort        -- Stable. 
//    shell_sort            -- Unstable.
//    heap_sort             -- Unstable. 
//    stable_sort           -- Stable.      The implementation of this is simply mapped to merge_sort.
//    merge                 -- 
//    merge_sort            -- Stable. 
//    merge_sort_buffer     -- Stable. 
//    nth_element           -- Unstable.
//    radix_sort            -- Stable.      Important and useful sort for integral data, and faster than all others for this.
//    comb_sort             -- Unstable.    Possibly the best combination of small code size but fast sort.
//    bubble_sort           -- Stable.      Useful in practice for sorting tiny sets of data (<= 10 elements).
//    selection_sort*       -- Unstable.
//    shaker_sort*          -- Stable.
//    bucket_sort*          -- Stable. 
//
// * Found in sort_extra.h.
//
// Additional sorting and related algorithms we may want to implement:
//    partial_sort_copy     This would be like the std STL version.
//    paritition            This would be like the std STL version. This is not categorized as a sort routine by the language standard.
//    stable_partition      This would be like the std STL version.
//    counting_sort         Maybe we don't want to implement this.
//
//////////////////////////////////////////////////////////////////////////////


#pragma once

#include <EASTL/internal/config.h>
#include <EASTL/internal/move_help.h>
#include <EASTL/iterator.h>
#include <EASTL/memory.h>
#include <EASTL/algorithm.h>
#include <EASTL/functional.h>
#include <EASTL/heap.h>
#include <EASTL/allocator.h>
#include <EASTL/memory.h>

// EASTL_PLATFORM_PREFERRED_ALIGNMENT
//
// Allows for slightly faster buffers in some cases.
//
#if !defined(EASTL_PLATFORM_PREFERRED_ALIGNMENT)
	//#if defined(EA_PROCESSOR_ARM)
	//	#define EASTL_PLATFORM_PREFERRED_ALIGNMENT 8
	//#else
		#define EASTL_PLATFORM_PREFERRED_ALIGNMENT 16
	//#endif
#endif


namespace eastl
{

	/// is_sorted
	///
	/// Returns true if the range [first, last) is sorted.
	/// An empty range is considered to be sorted.
	/// To test if a range is reverse-sorted, use 'greater' as the comparison 
	/// instead of 'less'.
	///
	/// Example usage:
	///    vector<int> intArray;
	///    bool bIsSorted        = is_sorted(intArray.begin(), intArray.end());
	///    bool bIsReverseSorted = is_sorted(intArray.begin(), intArray.end(), greater<int>());
	///
	template <typename ForwardIterator, typename StrictWeakOrdering>
	bool is_sorted(ForwardIterator first, ForwardIterator last, StrictWeakOrdering compare)
	{
		if(first != last)
		{
			ForwardIterator current = first;

			for(++current; current != last; first = current, ++current)
			{
				if(compare(*current, *first))
				{
					EASTL_VALIDATE_COMPARE(!compare(*first, *current)); // Validate that the compare function is sane.
					return false;
				}
			}
		}
		return true;
	}

	template <typename ForwardIterator>
	inline bool is_sorted(ForwardIterator first, ForwardIterator last)
	{
		typedef eastl::less<typename eastl::iterator_traits<ForwardIterator>::value_type> Less;

		return eastl::is_sorted<ForwardIterator, Less>(first, last, Less());
	}



	/// is_sorted_until
	///
	/// Returns an iterator to the first element in the range [first,last) which does not follow an ascending order.
	/// The range between first and the iterator returned is sorted.
	/// If the entire range is sorted, the function returns last.
	/// The elements are compared using operator< for the first version, and comp for the second.
	///
	/// Example usage:
	///     vector<int> intArray;
	///     vector<int>::iterator unsorted_element = is_sorted_until(eastl::end(intArray), eastl::end(intArray));
	///     vector<int>::iterator unsorted_element_with_user_compare = is_sorted_until(eastl::end(intArray), eastl::end(intArray), eastl::less<int>());
	///
	template<typename ForwardIterator>
	ForwardIterator is_sorted_until(ForwardIterator first, ForwardIterator last)
	{
		if(first != last)
		{
			ForwardIterator next = first;

			while(++next != last)
			{
				if(*next < *first)
					return next;

				first = next;
			}
		}

		return last;
	}

	template<typename ForwardIterator, typename Compare>
	ForwardIterator is_sorted_until(ForwardIterator first, ForwardIterator last, Compare compare)
	{
		if(first != last)
		{
			ForwardIterator next = first;

			while(++next != last)
			{
				if(compare(*next, *first))
					return next;

				first = next;
			}
		}

		return last;
	}



	/// merge
	///
	/// This function merges two sorted input sorted ranges into a result sorted range.
	/// This merge is stable in that no element from the first range will be changed
	/// in order relative to other elements from the first range.
	///
	template <typename InputIterator1, typename InputIterator2, typename OutputIterator, typename Compare>
	OutputIterator merge(InputIterator1 first1, InputIterator1 last1, InputIterator2 first2, InputIterator2 last2, OutputIterator result, Compare compare)
	{
		while((first1 != last1) && (first2 != last2))
		{
			if(compare(*first2, *first1))
			{
				EASTL_VALIDATE_COMPARE(!compare(*first1, *first2)); // Validate that the compare function is sane.
				*result = *first2;
				++first2;
			}
			else
			{
				*result = *first1;
				++first1;
			}
			++result;
		}

		// Check which list is empty and explicitly copy remaining items from the other list.
		// For performance reasons, only a single copy operation is invoked to avoid the potential overhead
		// introduced by chaining two copy operations together.  Even if a copy is of zero size there can
		// be overhead from calling memmove with a zero size copy.
		if (first1 == last1)
		{
			return eastl::copy(first2, last2, result);
		}
		else
		{
			return eastl::copy(first1, last1, result);
		}
	}

	template <typename InputIterator1, typename InputIterator2, typename OutputIterator>
	inline OutputIterator merge(InputIterator1 first1, InputIterator1 last1, InputIterator2 first2, InputIterator2 last2, OutputIterator result)
	{
		typedef eastl::less<typename eastl::iterator_traits<InputIterator1>::value_type> Less;

		return eastl::merge<InputIterator1, InputIterator2, OutputIterator, Less>
						   (first1, last1, first2, last2, result, Less());
	}


	//////////////////////////////////////////////////////////////////////////////
	/// insertion_sort
	///
	/// insertion_sort is an O(n^2) stable sorting algorithm that starts at the
	/// (k + 1) element and assumes the first (k) elements are sorted.
	/// Then copy_backwards from (k + 1) to the begining any elements where the
	/// (k + 1) element is less than [0, k] elements. The position of k when
	/// (k + 1) element is not less than k is the sorted position of the (k + 1) element.
	///
	/// Example With Intermediate Steps:
	/// (k + 1) == 2 : [3, 2, 1] -> [3, 3, 1] -> [2, 3, 1]
	/// (k + 1) == 1 : [2, 3, 1] -> [2, 3, 3] -> [2, 2, 3] -> [1, 2, 3]
	///              : [1, 2, 3]
	template <typename BidirectionalIterator, typename StrictWeakOrdering>
	void insertion_sort(BidirectionalIterator first, BidirectionalIterator last, StrictWeakOrdering compare)
	{
		typedef typename eastl::iterator_traits<BidirectionalIterator>::value_type value_type;

		if (first != last)
		{
			BidirectionalIterator i = first;

			for (++i; i != last; ++i)
			{
				value_type insertValue(eastl::move(*i));
				BidirectionalIterator insertPosition = i;

				for (BidirectionalIterator movePosition = i; movePosition != first && compare(insertValue, *(--movePosition)); --insertPosition)
				{
					EASTL_VALIDATE_COMPARE(!compare(*movePosition, insertValue));
					*insertPosition = eastl::move(*movePosition);
				}

				*insertPosition = eastl::move(insertValue);
			}
		}
	} // insertion_sort


	template <typename BidirectionalIterator>
	void insertion_sort(BidirectionalIterator first, BidirectionalIterator last)
	{
		typedef eastl::less<typename eastl::iterator_traits<BidirectionalIterator>::value_type> Less;

		insertion_sort<BidirectionalIterator>(first, last, Less());

	} // insertion_sort


	/// shell_sort
	///
	/// Implements the ShellSort algorithm. This algorithm is a serious algorithm for larger 
	/// data sets, as reported by Sedgewick in his discussions on QuickSort. Note that shell_sort
	/// requires a random access iterator, which usually means an array (eg. vector, deque).
	/// ShellSort has good performance with presorted sequences.
	/// The term "shell" derives from the name of the inventor, David Shell.
	///
	/// To consider: Allow the user to specify the "h-sequence" array.
	///
	template <typename RandomAccessIterator, typename StrictWeakOrdering>
	void shell_sort(RandomAccessIterator first, RandomAccessIterator last, StrictWeakOrdering compare)
	{
		typedef typename eastl::iterator_traits<RandomAccessIterator>::difference_type difference_type;

		// We use the Knuth 'h' sequence below, as it is easy to calculate at runtime. 
		// However, possibly we are better off using a different sequence based on a table.
		// One such sequence which averages slightly better than Knuth is:
		//    1, 5, 19, 41, 109, 209, 505, 929, 2161, 3905, 8929, 16001, 36289, 
		//    64769, 146305, 260609, 587521, 1045505, 2354689, 4188161, 9427969, 16764929

		if(first != last)
		{
			RandomAccessIterator iCurrent, iBack, iSorted, iInsertFirst;
			difference_type      nSize  = last - first;
			difference_type      nSpace = 1; // nSpace is the 'h' value of the ShellSort algorithm.

			while(nSpace < nSize)
				nSpace = (nSpace * 3) + 1; // This is the Knuth 'h' sequence: 1, 4, 13, 40, 121, 364, 1093, 3280, 9841, 29524, 88573, 265720, 797161, 2391484, 7174453, 21523360, 64570081, 193710244, 

			for(nSpace = (nSpace - 1) / 3; nSpace >= 1; nSpace = (nSpace - 1) / 3)  // Integer division is less than ideal.
			{
				for(difference_type i = 0; i < nSpace; i++)
				{
					iInsertFirst = first + i;

					for(iSorted = iInsertFirst + nSpace; iSorted < last; iSorted += nSpace)
					{
						iBack = iCurrent = iSorted;
						
						for(; (iCurrent != iInsertFirst) && compare(*iCurrent, *(iBack -= nSpace)); iCurrent = iBack)
						{
							EASTL_VALIDATE_COMPARE(!compare(*iBack, *iCurrent)); // Validate that the compare function is sane.
							eastl::iter_swap(iCurrent, iBack);
						}
					}
				}
			}
		}
	} // shell_sort

	template <typename RandomAccessIterator>
	inline void shell_sort(RandomAccessIterator first, RandomAccessIterator last)
	{
		typedef eastl::less<typename eastl::iterator_traits<RandomAccessIterator>::value_type> Less;

		eastl::shell_sort<RandomAccessIterator, Less>(first, last, Less());
	}



	/// heap_sort
	///
	/// Implements the HeapSort algorithm. 
	/// Note that heap_sort requires a random access iterator, which usually means 
	/// an array (eg. vector, deque).
	///
	template <typename RandomAccessIterator, typename StrictWeakOrdering>
	void heap_sort(RandomAccessIterator first, RandomAccessIterator last, StrictWeakOrdering compare)
	{
		// We simply call our heap algorithms to do the work for us.
		eastl::make_heap<RandomAccessIterator, StrictWeakOrdering>(first, last, compare);
		eastl::sort_heap<RandomAccessIterator, StrictWeakOrdering>(first, last, compare);
	}

	template <typename RandomAccessIterator>
	inline void heap_sort(RandomAccessIterator first, RandomAccessIterator last)
	{
		typedef eastl::less<typename eastl::iterator_traits<RandomAccessIterator>::value_type> Less;

		eastl::heap_sort<RandomAccessIterator, Less>(first, last, Less());
	}



	namespace Internal
	{
		// Sorts a range whose initial (start - first) entries are already sorted.
		// This function is a useful helper to the tim_sort function.
		// This is the same as insertion_sort except that it has a start parameter which indicates
		// where the start of the unsorted data is.
		template <typename BidirectionalIterator, typename StrictWeakOrdering>
		void insertion_sort_already_started(BidirectionalIterator first, BidirectionalIterator last, BidirectionalIterator start, StrictWeakOrdering compare)
		{
			typedef typename eastl::iterator_traits<BidirectionalIterator>::value_type value_type;

			if (first != last) // if the range is non-empty...
			{
				BidirectionalIterator iCurrent, iNext, iSorted = start - 1;

				for (++iSorted; iSorted != last; ++iSorted)
				{
					const value_type temp(*iSorted);

					iNext = iCurrent = iSorted;

					for (--iCurrent; (iNext != first) && compare(temp, *iCurrent); --iNext, --iCurrent)
					{
						EASTL_VALIDATE_COMPARE(!compare(*iCurrent, temp)); // Validate that the compare function is sane.
						*iNext = *iCurrent;
					}

					*iNext = temp;
				}
			}
		}
	}



	/// merge_sort_buffer
	///
	/// Implements the MergeSort algorithm with a user-supplied buffer.
	/// The input buffer must be able to hold a number of items equal to 'last - first'.
	/// Note that merge_sort_buffer requires a random access iterator, which usually means 
	/// an array (eg. vector, deque).
	///
	/// The algorithm used for merge sort is not the standard merge sort.  It has been modified
	/// to improve performance for data that is already partially sorted.  In fact, if data
	/// is completely sorted, then performance is O(n), but even data with partially sorted
	/// regions can benefit from the modifications.
	///
	/// 'InsertionSortLimit' specifies a size limit for which the algorithm will use insertion sort.
	/// Due to the overhead of merge sort, it is often faster to use insertion sort once the size of a region
	/// is fairly small.  However, insertion sort is not as efficient (in terms of assignments orcomparisons)
	/// so choosing a value that is too large will reduce performance.  Generally a value of 16 to 32 is reasonable,
	/// but the best choose will depend on the data being sorted.
	template <typename RandomAccessIterator, typename T, typename StrictWeakOrdering, typename difference_type, int InsertionSortLimit>
	class MergeSorter
	{
	public:
		static void sort(RandomAccessIterator first, RandomAccessIterator last, T* pBuffer, StrictWeakOrdering compare)
		{
			if (sort_impl(first, last, pBuffer, difference_type(0), compare) == RL_Buffer)
			{
				const difference_type nCount = last - first;
				eastl::copy<T*, RandomAccessIterator>(pBuffer, pBuffer + nCount, first);
			}
			EASTL_DEV_ASSERT((eastl::is_sorted<RandomAccessIterator, StrictWeakOrdering>(first, last, compare)));
		}

	private:
		static_assert(InsertionSortLimit > 1, "Sequences of length 1 are already sorted.  Use a larger value for InsertionSortLimit");

		enum ResultLocation
		{
			RL_SourceRange,	// i.e. result is in the range defined by [first, last)
			RL_Buffer,		// i.e. result is in pBuffer
		};

		// sort_impl
		//
		// This sort routine sorts the data in [first, last) and places the result in pBuffer or in the original range of the input.  The actual
		// location of the data is indicated by the enum returned.
		// 
		// lastSortedEnd is used to specify a that data in the range [first, first + lastSortedEnd] is already sorted.  This information is used
		// to avoid unnecessary merge sorting of already sorted data.  lastSortedEnd is a hint, and can be an under estimate of the sorted elements
		// (i.e. it is legal to pass 0).
		static ResultLocation sort_impl(RandomAccessIterator first, RandomAccessIterator last, T* pBuffer, difference_type lastSortedEnd, StrictWeakOrdering compare)
		{
			const difference_type nCount = last - first;

			if (lastSortedEnd < 1)
			{
				lastSortedEnd = eastl::is_sorted_until<RandomAccessIterator, StrictWeakOrdering>(first, last, compare) - first;
			}

			// Sort the region unless lastSortedEnd indicates it is already sorted.
			if (lastSortedEnd < nCount)
			{
				// If the size is less than or equal to InsertionSortLimit use insertion sort instead of recursing further.
				if (nCount <= InsertionSortLimit)
				{
					eastl::Internal::insertion_sort_already_started<RandomAccessIterator, StrictWeakOrdering>(first, last, first + lastSortedEnd, compare);
					return RL_SourceRange;
				}
				else
				{
					const difference_type nMid = nCount / 2;

					ResultLocation firstHalfLocation = RL_SourceRange;
					// Don't sort the first half if it is already sorted.
					if (lastSortedEnd < nMid)
					{
						firstHalfLocation = sort_impl(first, first + nMid, pBuffer, lastSortedEnd, compare);
					}

					ResultLocation secondHalfLocation = sort_impl(first + nMid, last, pBuffer + nMid, lastSortedEnd - nMid, compare);

					return merge_halves(first, last, nMid, pBuffer, firstHalfLocation, secondHalfLocation, compare);
				}
			}
			else
			{
				EASTL_DEV_ASSERT((eastl::is_sorted<RandomAccessIterator, StrictWeakOrdering>(first, last, compare)));
				return RL_SourceRange;
			}
		}

		// merge_halves
		//
		// Merge two sorted regions of elements.
		// The inputs to this method effectively define two large buffers.  The variables 'firstHalfLocation' and 'secondHalfLocation' define where the data to be
		// merged is located within the two buffers.  It is entirely possible that the two areas to be merged could be entirely located in either of the larger buffers.
		// Upon returning the merged results will be in one of the two buffers (indicated by the return result).
		static ResultLocation merge_halves(RandomAccessIterator first, RandomAccessIterator last, difference_type nMid, T* pBuffer, ResultLocation firstHalfLocation, ResultLocation secondHalfLocation, StrictWeakOrdering compare)
		{
			const difference_type nCount = last - first;
			if (firstHalfLocation == RL_SourceRange)
			{
				if (secondHalfLocation == RL_SourceRange)
				{
					eastl::merge<RandomAccessIterator, RandomAccessIterator, T*, StrictWeakOrdering>(first, first + nMid, first + nMid, last, pBuffer, compare);
					EASTL_DEV_ASSERT((eastl::is_sorted<T*, StrictWeakOrdering>(pBuffer, pBuffer + nCount, compare)));
					return RL_Buffer;
				}
				else
				{
					eastl::copy(first, first + nMid, pBuffer);
					eastl::merge<T*, T*, RandomAccessIterator, StrictWeakOrdering>(pBuffer, pBuffer + nMid, pBuffer + nMid, pBuffer + nCount, first, compare);
					EASTL_DEV_ASSERT((eastl::is_sorted<RandomAccessIterator, StrictWeakOrdering>(first, last, compare)));
					return RL_SourceRange;
				}
			}
			else
			{
				if (secondHalfLocation == RL_SourceRange)
				{
					eastl::copy(first + nMid, last, pBuffer + nMid);
					eastl::merge<T*, T*, RandomAccessIterator, StrictWeakOrdering>(pBuffer, pBuffer + nMid, pBuffer + nMid, pBuffer + nCount, first, compare);
					EASTL_DEV_ASSERT((eastl::is_sorted<RandomAccessIterator, StrictWeakOrdering>(first, last, compare)));
					return RL_SourceRange;
				}
				else
				{
					eastl::merge<T*, T*, RandomAccessIterator, StrictWeakOrdering>(pBuffer, pBuffer + nMid, pBuffer + nMid, pBuffer + nCount, first, compare);
					EASTL_DEV_ASSERT((eastl::is_sorted<RandomAccessIterator, StrictWeakOrdering>(first, last, compare)));
					return RL_SourceRange;
				}
			}
		}

	};


	template <typename RandomAccessIterator, typename T, typename StrictWeakOrdering>
	void merge_sort_buffer(RandomAccessIterator first, RandomAccessIterator last, T* pBuffer, StrictWeakOrdering compare)
	{
		typedef typename eastl::iterator_traits<RandomAccessIterator>::difference_type difference_type;
		MergeSorter<RandomAccessIterator, T, StrictWeakOrdering, difference_type, 16>::sort(first, last, pBuffer, compare);
	}

	template <typename RandomAccessIterator, typename T>
	inline void merge_sort_buffer(RandomAccessIterator first, RandomAccessIterator last, T* pBuffer)
	{
		typedef eastl::less<typename eastl::iterator_traits<RandomAccessIterator>::value_type> Less;

		eastl::merge_sort_buffer<RandomAccessIterator, T, Less>(first, last, pBuffer, Less());
	}



	/// merge_sort
	///
	/// Implements the MergeSort algorithm.
	/// This algorithm allocates memory via the user-supplied allocator. Use merge_sort_buffer
	/// function if you want a version which doesn't allocate memory.
	/// Note that merge_sort requires a random access iterator, which usually means 
	/// an array (eg. vector, deque).
	/// 
	template <typename RandomAccessIterator, typename Allocator, typename StrictWeakOrdering>
	void merge_sort(RandomAccessIterator first, RandomAccessIterator last, Allocator& allocator, StrictWeakOrdering compare)
	{
		typedef typename eastl::iterator_traits<RandomAccessIterator>::difference_type difference_type;
		typedef typename eastl::iterator_traits<RandomAccessIterator>::value_type      value_type;

		const difference_type nCount = last - first;

		if(nCount > 1)
		{
			// We need to allocate an array of nCount value_type objects as a temporary buffer.
			value_type* const pBuffer = (value_type*)allocate_memory(allocator, nCount * sizeof(value_type), EASTL_ALIGN_OF(value_type), 0);
			eastl::uninitialized_fill(pBuffer, pBuffer + nCount, value_type());

			eastl::merge_sort_buffer<RandomAccessIterator, value_type, StrictWeakOrdering>
									(first, last, pBuffer, compare);

			eastl::destruct(pBuffer, pBuffer + nCount);
			EASTLFree(allocator, pBuffer, nCount * sizeof(value_type));
		}
	}

	template <typename RandomAccessIterator, typename Allocator>
	inline void merge_sort(RandomAccessIterator first, RandomAccessIterator last, Allocator& allocator)
	{
		typedef eastl::less<typename eastl::iterator_traits<RandomAccessIterator>::value_type> Less;

		eastl::merge_sort<RandomAccessIterator, Allocator, Less>(first, last, allocator, Less());
	}



	/// partition
	///
	/// Implements the partition algorithm.
	/// Rearranges the elements in the range [first, last), in such a way that all the elements 
	/// for which pred returns true precede all those for which it returns false. The iterator 
	/// returned points to the first element of the second group.
	/// The relative ordering within each group is not necessarily the same as before the call. 
	/// See function stable_partition for a function with a similar behavior and stability in 
	/// the ordering.
	/// 
	/// To do: Implement a version that uses a faster BidirectionalIterator algorithm for the 
	///        case that the iterator range is a bidirectional iterator instead of just an
	///        input iterator (one direction).
	///
	template<typename InputIterator, typename Predicate>
	InputIterator partition(InputIterator begin, InputIterator end, Predicate predicate)
	{
		if(begin != end) 
		{
			while(predicate(*begin))
			{
				if(++begin == end) 
					return begin;
			}

			InputIterator middle = begin;

			while(++middle != end)
			{
				if(predicate(*middle))
				{
					eastl::swap(*begin, *middle);
					++begin;
				}
			}
		}

		return begin;
	}

	/// stable_partition
	///
	/// Performs the same function as @p partition() with the additional
	/// guarantee that the relative ordering of elements in each group is
	/// preserved.
	template <typename ForwardIterator, typename Predicate>
	ForwardIterator stable_partition(ForwardIterator first, ForwardIterator last, Predicate pred)
	{
		first = eastl::find_if_not(first, last, pred);

		if (first == last)
			return first;

		typedef typename iterator_traits<ForwardIterator>::value_type value_type;

		const auto requested_size = eastl::distance(first, last);

		auto allocator = *get_default_allocator(0);
		value_type* const buffer =
		    (value_type*)allocate_memory(allocator, requested_size * sizeof(value_type), EASTL_ALIGN_OF(value_type), 0);
		eastl::uninitialized_fill(buffer, buffer + requested_size, value_type());

		ForwardIterator result1 = first;
		value_type* result2 = buffer;

		*result2 = eastl::move(*first);
		++result2;
		++first;
		for (; first != last; ++first)
		{
			if (pred(*first))
			{
				*result1 = eastl::move(*first);
				++result1;
			}
			else
			{
				*result2 = eastl::move(*first);
				++result2;
			}
		}

		eastl::copy(buffer, result2, result1);

		eastl::destruct(buffer, buffer + requested_size);
		EASTLFree(allocator, buffer, requested_size * sizeof(value_type));
		
		return result1;
	}

	/////////////////////////////////////////////////////////////////////
	// quick_sort
	//
	// We do the "introspection sort" variant of quick sort which is now
	// well-known and understood. You can read about this algorithm in
	// many articles on quick sort, but briefly what it does is a median-
	// of-three quick sort whereby the recursion depth is limited to a
	// some value (after which it gives up on quick sort and switches to
	// a heap sort) and whereby after a certain amount of sorting the 
	// algorithm stops doing quick-sort and finishes the sorting via
	// a simple insertion sort.
	/////////////////////////////////////////////////////////////////////

	#if (defined(EA_PROCESSOR_X86) || defined(EA_PROCESSOR_X86_64))
		static const int kQuickSortLimit = 28; // For sorts of random arrays over 100 items, 28 - 32 have been found to be good numbers on x86.
	#else
		static const int kQuickSortLimit = 16; // It seems that on other processors lower limits are more beneficial, as they result in fewer compares.
	#endif

	namespace Internal
	{
		template <typename Size>
		inline Size Log2(Size n)
		{
			int i;
			for(i = 0; n; ++i)
				n >>= 1;
			return i - 1;
		}

		// To do: Investigate the speed of this bit-trick version of Log2.
		//        It may work better on some platforms but not others.
		//
		// union FloatUnion {
		//     float    f;
		//     uint32_t i;
		// };
		// 
		// inline uint32_t Log2(uint32_t x)
		// {
		//     const FloatInt32Union u = { x };
		//     return (u.i >> 23) - 127;
		// }
	}

	template <typename RandomAccessIterator, typename T>
	inline RandomAccessIterator get_partition_impl(RandomAccessIterator first, RandomAccessIterator last, T&& pivotValue)
	{
		for(; ; ++first)
		{
			while(*first < pivotValue)
			{
				EASTL_VALIDATE_COMPARE(!(pivotValue < *first)); // Validate that the compare function is sane.
				++first;
			}
			--last;

			while(pivotValue < *last)
			{
				EASTL_VALIDATE_COMPARE(!(*last < pivotValue)); // Validate that the compare function is sane.
				--last;
			}

			if(first >= last) // Random access iterators allow operator >=
				return first;

			eastl::iter_swap(first, last);
		}
	}

	/// get_partition
	///
	/// This function takes const T& instead of T because T may have special alignment
	/// requirements and some compilers (e.g. VC++) are don't respect alignment requirements
	/// for function arguments.
	///
	template <typename RandomAccessIterator, typename T>
	inline RandomAccessIterator get_partition(RandomAccessIterator first, RandomAccessIterator last, const T& pivotValue)
	{
		const T pivotCopy(pivotValue); // Need to make a temporary because the sequence below is mutating.
		return get_partition_impl<RandomAccessIterator, const T&>(first, last, pivotCopy);
	}

	template <typename RandomAccessIterator, typename T>
	inline RandomAccessIterator get_partition(RandomAccessIterator first, RandomAccessIterator last, T&& pivotValue)
	{
		// Note: unlike the copy-constructible variant of get_partition... we can't create a temporary const move-constructible object
		return get_partition_impl<RandomAccessIterator, T&&>(first, last, eastl::move(pivotValue));
	}

	template <typename RandomAccessIterator, typename T, typename Compare>
	inline RandomAccessIterator get_partition_impl(RandomAccessIterator first, RandomAccessIterator last, T&& pivotValue, Compare compare)
	{
		for(; ; ++first)
		{
			while(compare(*first, pivotValue))
			{
				EASTL_VALIDATE_COMPARE(!compare(pivotValue, *first)); // Validate that the compare function is sane.
				++first;
			}
			--last;

			while(compare(pivotValue, *last))
			{
				EASTL_VALIDATE_COMPARE(!compare(*last, pivotValue)); // Validate that the compare function is sane.
				--last;
			}

			if(first >= last) // Random access iterators allow operator >=
				return first;

			eastl::iter_swap(first, last);
		}
	}

	template <typename RandomAccessIterator, typename T, typename Compare> 
	inline RandomAccessIterator get_partition(RandomAccessIterator first, RandomAccessIterator last, const T& pivotValue, Compare compare)
	{
		const T pivotCopy(pivotValue); // Need to make a temporary because the sequence below is mutating.
		return get_partition_impl<RandomAccessIterator, const T&, Compare>(first, last, pivotCopy, compare);
	}

	template <typename RandomAccessIterator, typename T, typename Compare>
	inline RandomAccessIterator get_partition(RandomAccessIterator first, RandomAccessIterator last, T&& pivotValue, Compare compare)
	{
		// Note: unlike the copy-constructible variant of get_partition... we can't create a temporary const move-constructible object
		return get_partition_impl<RandomAccessIterator, T&&, Compare>(first, last, eastl::forward<T>(pivotValue), compare);
	}


	namespace Internal
	{
		// This function is used by quick_sort and is not intended to be used by itself. 
		// This is because the implementation below makes an assumption about the input
		// data that quick_sort satisfies but arbitrary data may not.
		// There is a standalone insertion_sort function. 
		template <typename RandomAccessIterator>
		inline void insertion_sort_simple(RandomAccessIterator first, RandomAccessIterator last)
		{
			for(RandomAccessIterator current = first; current != last; ++current)
			{
				typedef typename eastl::iterator_traits<RandomAccessIterator>::value_type value_type;

				RandomAccessIterator end(current), prev(current);
				value_type           value(eastl::forward<value_type>(*current));

				for(--prev; value < *prev; --end, --prev) // We skip checking for (prev >= first) because quick_sort (our caller) makes this unnecessary.
				{
					EASTL_VALIDATE_COMPARE(!(*prev < value)); // Validate that the compare function is sane.
					*end = eastl::forward<value_type>(*prev);
				}

				*end = eastl::forward<value_type>(value);
			}
		}


		// This function is used by quick_sort and is not intended to be used by itself. 
		// This is because the implementation below makes an assumption about the input
		// data that quick_sort satisfies but arbitrary data may not.
		// There is a standalone insertion_sort function. 
		template <typename RandomAccessIterator, typename Compare>
		inline void insertion_sort_simple(RandomAccessIterator first, RandomAccessIterator last, Compare compare)
		{
			for(RandomAccessIterator current = first; current != last; ++current)
			{
				typedef typename eastl::iterator_traits<RandomAccessIterator>::value_type value_type;

				RandomAccessIterator end(current), prev(current);
				value_type           value(eastl::forward<value_type>(*current));

				for(--prev; compare(value, *prev); --end, --prev) // We skip checking for (prev >= first) because quick_sort (our caller) makes this unnecessary.
				{
					EASTL_VALIDATE_COMPARE(!compare(*prev, value)); // Validate that the compare function is sane.
					*end = eastl::forward<value_type>(*prev);
				}

				*end = eastl::forward<value_type>(value);
			}
		}
	} // namespace Internal


	template <typename RandomAccessIterator>
	inline void partial_sort(RandomAccessIterator first, RandomAccessIterator middle, RandomAccessIterator last)
	{
		typedef typename eastl::iterator_traits<RandomAccessIterator>::difference_type difference_type;
		typedef typename eastl::iterator_traits<RandomAccessIterator>::value_type      value_type;

		eastl::make_heap<RandomAccessIterator>(first, middle);

		for(RandomAccessIterator i = middle; i < last; ++i)
		{
			if(*i < *first)
			{
				EASTL_VALIDATE_COMPARE(!(*first < *i)); // Validate that the compare function is sane.
				value_type temp(eastl::forward<value_type>(*i));
				*i = eastl::forward<value_type>(*first);
				eastl::adjust_heap<RandomAccessIterator, difference_type, value_type>
								  (first, difference_type(0), difference_type(middle - first), difference_type(0), eastl::forward<value_type>(temp));
			}
		}

		eastl::sort_heap<RandomAccessIterator>(first, middle);
	}


	template <typename RandomAccessIterator, typename Compare>
	inline void partial_sort(RandomAccessIterator first, RandomAccessIterator middle, RandomAccessIterator last, Compare compare)
	{
		typedef typename eastl::iterator_traits<RandomAccessIterator>::difference_type difference_type;
		typedef typename eastl::iterator_traits<RandomAccessIterator>::value_type      value_type;

		eastl::make_heap<RandomAccessIterator, Compare>(first, middle, compare);

		for(RandomAccessIterator i = middle; i < last; ++i)
		{
			if(compare(*i, *first))
			{
				EASTL_VALIDATE_COMPARE(!compare(*first, *i)); // Validate that the compare function is sane.
				value_type temp(eastl::forward<value_type>(*i));
				*i = eastl::forward<value_type>(*first);
				eastl::adjust_heap<RandomAccessIterator, difference_type, value_type, Compare>
								  (first, difference_type(0), difference_type(middle - first), difference_type(0), eastl::forward<value_type>(temp), compare);
			}
		}

		eastl::sort_heap<RandomAccessIterator, Compare>(first, middle, compare);
	}


	template<typename RandomAccessIterator>
	inline void nth_element(RandomAccessIterator first, RandomAccessIterator nth, RandomAccessIterator last)
	{
		typedef typename iterator_traits<RandomAccessIterator>::value_type value_type;

		while((last - first) > 5)
		{
			const value_type           midValue(eastl::median<value_type>(*first, *(first + (last - first) / 2), *(last - 1)));
			const RandomAccessIterator midPos(eastl::get_partition<RandomAccessIterator, value_type>(first, last, midValue));

			if(midPos <= nth)
				first = midPos;
			else
				last = midPos;
		}

		eastl::insertion_sort<RandomAccessIterator>(first, last);
	}


	template<typename RandomAccessIterator, typename Compare>
	inline void nth_element(RandomAccessIterator first, RandomAccessIterator nth, RandomAccessIterator last, Compare compare)
	{
		typedef typename iterator_traits<RandomAccessIterator>::value_type value_type;

		while((last - first) > 5)
		{
			const value_type           midValue(eastl::median<value_type, Compare>(*first, *(first + (last - first) / 2), *(last - 1), compare));
			const RandomAccessIterator midPos(eastl::get_partition<RandomAccessIterator, value_type, Compare>(first, last, midValue, compare));

			if(midPos <= nth)
				first = midPos;
			else
				last = midPos;
		}

		eastl::insertion_sort<RandomAccessIterator, Compare>(first, last, compare);
	}


	namespace Internal
	{
		EA_DISABLE_VC_WARNING(4702) // unreachable code
		template <typename RandomAccessIterator, typename Size, typename PivotValueType>
		inline void quick_sort_impl_helper(RandomAccessIterator first, RandomAccessIterator last, Size kRecursionCount)
		{
			typedef typename iterator_traits<RandomAccessIterator>::value_type value_type;

			while(((last - first) > kQuickSortLimit) && (kRecursionCount > 0))
			{
				const RandomAccessIterator position(eastl::get_partition<RandomAccessIterator, value_type>(first, last,
					eastl::forward<PivotValueType>(eastl::median<value_type>(eastl::forward<value_type>(*first), eastl::forward<value_type>(*(first + (last - first) / 2)), eastl::forward<value_type>(*(last - 1))))));

				eastl::Internal::quick_sort_impl_helper<RandomAccessIterator, Size, PivotValueType>(position, last, --kRecursionCount);
				last = position;
			}

			if(kRecursionCount == 0)
				eastl::partial_sort<RandomAccessIterator>(first, last, last);
		}

		template <typename RandomAccessIterator, typename Size, typename Compare, typename PivotValueType>
		inline void quick_sort_impl_helper(RandomAccessIterator first, RandomAccessIterator last, Size kRecursionCount, Compare compare)
		{
			typedef typename iterator_traits<RandomAccessIterator>::value_type value_type;

			while(((last - first) > kQuickSortLimit) && (kRecursionCount > 0))
			{
				const RandomAccessIterator position(eastl::get_partition<RandomAccessIterator, value_type, Compare>(first, last,
					eastl::forward<PivotValueType>(eastl::median<value_type, Compare>(eastl::forward<value_type>(*first), eastl::forward<value_type>(*(first + (last - first) / 2)), eastl::forward<value_type>(*(last - 1)), compare)), compare));

				eastl::Internal::quick_sort_impl_helper<RandomAccessIterator, Size, Compare, PivotValueType>(position, last, --kRecursionCount, compare);
				last = position;
			}

			if(kRecursionCount == 0)
				eastl::partial_sort<RandomAccessIterator, Compare>(first, last, last, compare);
		}
		EA_RESTORE_VC_WARNING()

		template <typename RandomAccessIterator, typename Size>
		inline void quick_sort_impl(RandomAccessIterator first, RandomAccessIterator last, Size kRecursionCount,
			typename eastl::enable_if<eastl::is_copy_constructible<typename iterator_traits<RandomAccessIterator>::value_type>::value>::type* = 0)
		{
			typedef typename iterator_traits<RandomAccessIterator>::value_type value_type;

			// copy constructors require const value_type
			quick_sort_impl_helper<RandomAccessIterator, Size, const value_type>(first, last, kRecursionCount);
		}

		template <typename RandomAccessIterator, typename Size>
		inline void quick_sort_impl(RandomAccessIterator first, RandomAccessIterator last, Size kRecursionCount,
			typename eastl::enable_if<eastl::is_move_constructible<typename iterator_traits<RandomAccessIterator>::value_type>::value
			&& !eastl::is_copy_constructible<typename iterator_traits<RandomAccessIterator>::value_type>::value>::type* = 0)
		{
			typedef typename iterator_traits<RandomAccessIterator>::value_type value_type;

			// move constructors require non-const value_type
			quick_sort_impl_helper<RandomAccessIterator, Size, value_type>(first, last, kRecursionCount);
		}

		template <typename RandomAccessIterator, typename Size, typename Compare>
		inline void quick_sort_impl(RandomAccessIterator first, RandomAccessIterator last, Size kRecursionCount, Compare compare,
			typename eastl::enable_if<eastl::is_copy_constructible<typename iterator_traits<RandomAccessIterator>::value_type>::value>::type* = 0)
		{
			typedef typename iterator_traits<RandomAccessIterator>::value_type value_type;

			// copy constructors require const value_type
			quick_sort_impl_helper<RandomAccessIterator, Size, Compare, const value_type>(first, last, kRecursionCount, compare);
		}

		template <typename RandomAccessIterator, typename Size, typename Compare>
		inline void quick_sort_impl(RandomAccessIterator first, RandomAccessIterator last, Size kRecursionCount, Compare compare,
			typename eastl::enable_if<eastl::is_move_constructible<typename iterator_traits<RandomAccessIterator>::value_type>::value
			&& !eastl::is_copy_constructible<typename iterator_traits<RandomAccessIterator>::value_type>::value>::type* = 0)
		{
			typedef typename iterator_traits<RandomAccessIterator>::value_type value_type;

			// move constructors require non-const value_type
			quick_sort_impl_helper<RandomAccessIterator, Size, Compare, value_type>(first, last, kRecursionCount, compare);
		}
	}


	/// quick_sort
	///
	/// This is an unstable sort.
	/// quick_sort sorts the elements in [first, last) into ascending order, 
	/// meaning that if i and j are any two valid iterators in [first, last) 
	/// such that i precedes j, then *j is not less than *i. quick_sort is not 
	/// guaranteed to be stable. That is, suppose that *i and *j are equivalent: 
	/// neither one is less than the other. It is not guaranteed that the 
	/// relative order of these two elements will be preserved by sort.
	///
	/// We implement the "introspective" variation of quick-sort. This is 
	/// considered to be the best general-purpose variant, as it avoids 
	/// worst-case behaviour and optimizes the final sorting stage by 
	/// switching to an insertion sort.
	///
	template <typename RandomAccessIterator>
	void quick_sort(RandomAccessIterator first, RandomAccessIterator last)
	{
		typedef typename eastl::iterator_traits<RandomAccessIterator>::difference_type difference_type;

		if(first != last)
		{
			eastl::Internal::quick_sort_impl<RandomAccessIterator, difference_type>(first, last, 2 * Internal::Log2(last - first));

			if((last - first) > (difference_type)kQuickSortLimit)
			{
				eastl::insertion_sort<RandomAccessIterator>(first, first + kQuickSortLimit);
				eastl::Internal::insertion_sort_simple<RandomAccessIterator>(first + kQuickSortLimit, last);
			}
			else
				eastl::insertion_sort<RandomAccessIterator>(first, last);
		}
	}


	template <typename RandomAccessIterator, typename Compare>
	void quick_sort(RandomAccessIterator first, RandomAccessIterator last, Compare compare)
	{
		typedef typename eastl::iterator_traits<RandomAccessIterator>::difference_type difference_type;

		if(first != last)
		{
			eastl::Internal::quick_sort_impl<RandomAccessIterator, difference_type, Compare>(first, last, 2 * Internal::Log2(last - first), compare);

			if((last - first) > (difference_type)kQuickSortLimit)
			{
				eastl::insertion_sort<RandomAccessIterator, Compare>(first, first + kQuickSortLimit, compare);
				eastl::Internal::insertion_sort_simple<RandomAccessIterator, Compare>(first + kQuickSortLimit, last, compare);
			}
			else
				eastl::insertion_sort<RandomAccessIterator, Compare>(first, last, compare);
		}
	}




	namespace Internal
	{
		// Portions of the tim_sort code were originally written by Christopher Swenson.
		// https://github.com/swenson/sort
		// All code in this repository, unless otherwise specified, is hereby licensed under the 
		// MIT Public License: Copyright (c) 2010 Christopher Swenson

		const intptr_t kTimSortStackSize = 64; // Question: What's the upper-limit size requirement for this?

		struct tim_sort_run
		{
			intptr_t start;
			intptr_t length;
		};


		// EASTL_COUNT_LEADING_ZEROES
		//
		// Count leading zeroes in an integer.
		//
		#ifndef EASTL_COUNT_LEADING_ZEROES
			#if   defined(__GNUC__)
				#if (EA_PLATFORM_PTR_SIZE == 8)
					#define EASTL_COUNT_LEADING_ZEROES __builtin_clzll
				#else
					#define EASTL_COUNT_LEADING_ZEROES __builtin_clz
				#endif
			#endif

			#ifndef EASTL_COUNT_LEADING_ZEROES
				static inline int eastl_count_leading_zeroes(uint64_t x)
				{
					if(x)
					{
						int n = 0;
						if(x & UINT64_C(0xFFFFFFFF00000000)) { n += 32; x >>= 32; }
						if(x & 0xFFFF0000)                   { n += 16; x >>= 16; }
						if(x & 0xFFFFFF00)                   { n +=  8; x >>=  8; }
						if(x & 0xFFFFFFF0)                   { n +=  4; x >>=  4; }
						if(x & 0xFFFFFFFC)                   { n +=  2; x >>=  2; }
						if(x & 0xFFFFFFFE)                   { n +=  1;           }
						return 63 - n;
					}
					return 64;
				}

				static inline int eastl_count_leading_zeroes(uint32_t x)
				{
					if(x)
					{
						int n = 0;
						if(x <= 0x0000FFFF) { n += 16; x <<= 16; }
						if(x <= 0x00FFFFFF) { n +=  8; x <<=  8; }
						if(x <= 0x0FFFFFFF) { n +=  4; x <<=  4; }
						if(x <= 0x3FFFFFFF) { n +=  2; x <<=  2; }
						if(x <= 0x7FFFFFFF) { n +=  1;           }
						return n;
					}
					return 32;
				}

				#define EASTL_COUNT_LEADING_ZEROES eastl_count_leading_zeroes
			#endif
		#endif


		// reverse_elements
		//
		// Reverses the range [first + start, first + start + size)
		// To consider: Use void eastl::reverse(BidirectionalIterator first, BidirectionalIterator last);
		//
		template <typename RandomAccessIterator>
		void reverse_elements(RandomAccessIterator first, intptr_t start, intptr_t end)
		{
			while(start < end)
			{
				eastl::swap(*(first + start), *(first + end));
				++start;
				--end;
			}
		}


		// tim_sort_count_run
		//
		// Finds the length of a run which is already sorted (either up or down).
		// If the run is in reverse order, this function puts it in regular order.
		//
		template <typename RandomAccessIterator, typename StrictWeakOrdering>
		intptr_t tim_sort_count_run(const RandomAccessIterator first, const intptr_t start, const intptr_t size, StrictWeakOrdering compare)
		{
			if((size - start) > 1) // If there is anything in the set...
			{
				intptr_t curr = (start + 2);
				
				if(!compare(*(first + start + 1), *(first + start))) // If (first[start + 1] >= first[start]) (If the run is increasing) ...
				{
					for(;; ++curr)
					{
						if(curr >= (size - 1)) // If we are at the end of the data... this run is done.
							break;

						if(compare(*(first + curr), *(first + curr - 1))) // If this item is not in order... this run is done.
							break;
					}
				}
				else  // Else it is decreasing.
				{
					for(;; ++curr)
					{
						if(curr >= (size - 1))  // If we are at the end of the data... this run is done.
							break;

						if(!compare(*(first + curr), *(first + curr - 1)))  // If this item is not in order... this run is done.
							break;                                          // Note that we intentionally compare against <= 0 and not just < 0. This is because 
					}                                                       // The reverse_elements call below could reverse two equal elements and break our stability requirement.

					reverse_elements(first, start, curr - 1);
				}

				return (curr - start);
			}

			// Else we have just one item in the set.       
			return 1;
		}


		// Input   Return
		// --------------
		//  64      32
		//  65      33
		//  66      33
		//  67      34
		//  68      34
		// ...
		// 125      63
		// 126      63
		// 127      64
		// 128      32
		// 129      33
		// 130      33
		// 131      33
		// 132      33
		// 133      34
		// 134      34
		// 135      34
		// 136      34
		// 137      35
		// ...
		//
		// This function will return a value that is always in the range of [32, 64].
		//
		static inline intptr_t timsort_compute_minrun(intptr_t size)
		{
			const int32_t  top_bit = (int32_t)((sizeof(intptr_t) * 8) - EASTL_COUNT_LEADING_ZEROES((uintptr_t)size));
			const int32_t  shift   = (top_bit > 6) ? (top_bit - 6) : 0;
			const intptr_t mask    = (intptr_t(1) << shift) - 1;
				  intptr_t minrun  = (intptr_t)(size >> shift);

			if(mask & size)
				++minrun;

			return minrun;
		}


		template <typename RandomAccessIterator, typename T, typename StrictWeakOrdering>
		void tim_sort_merge(RandomAccessIterator first, const tim_sort_run* run_stack, const intptr_t stack_curr, 
							T* pBuffer, StrictWeakOrdering compare)
		{
			const intptr_t A    = run_stack[stack_curr - 2].length;
			const intptr_t B    = run_stack[stack_curr - 1].length;
			const intptr_t curr = run_stack[stack_curr - 2].start;

			EASTL_DEV_ASSERT((A < 10000000) && (B < 10000000) && (curr < 10000000)); // Sanity check.

			if(A < B) // If the first run is shorter than the second run... merge left.
			{
				// Copy to another location so we have room in the main array to put the sorted items.
				eastl::copy(first + curr, first + curr + A, pBuffer);

				#if EASTL_DEV_DEBUG
					typedef typename eastl::iterator_traits<RandomAccessIterator>::value_type value_type;

					for(intptr_t i = 0; i < A; i++)
						*(first + curr + i) = value_type();
				#endif

				intptr_t i = 0;
				intptr_t j = curr + A;
				
				for(intptr_t k = curr; k < curr + A + B; k++)
				{
					if((i < A) && (j < (curr + A + B)))
					{
						if(!compare(*(first + j), *(pBuffer + i))) // If (first[j] >= pBuffer[i])...
							*(first + k) = *(pBuffer + i++);
						else
							*(first + k) = *(first + j++);
					}
					else if(i < A)
						*(first + k) = *(pBuffer + i++);
					else
						*(first + k) = *(first + j++);
				}
			}
			else // Else the second run is equal or shorter... merge right.
			{
				eastl::copy(first + curr + A, first + curr + A + B, pBuffer);

				intptr_t i = B - 1;
				intptr_t j = curr + A - 1;
				
				for(intptr_t k = curr + A + B - 1; k >= curr; k--)
				{
					if((i >= 0) && (j >= curr))
					{
						if(compare(*(pBuffer + i), *(first + j))) // If (pBuffer[i] < first[j]) ...
							*(first + k) = *(first + j--);
						else
							*(first + k) = *(pBuffer + i--);
					}
					else if(i >= 0)
						*(first + k) = *(pBuffer + i--);
					else
						*(first + k) = *(first + j--);
				}
			}
		}


		// See the timsort.txt file for an explanation of this function.
		//
		// ------------------------------------------------------------------------
		// What turned out to be a good compromise maintains two invariants on the
		// stack entries, where A, B and C are the lengths of the three righmost 
		// not-yet merged slices:
		//    1.  A > B+C
		//    2.  B > C
		// ------------------------------------------------------------------------
		//
		static inline bool timsort_check_invariant(tim_sort_run* run_stack, const intptr_t stack_curr)
		{
			// To do: Optimize this for the most common type of values.
			if(stack_curr > 2)
			{
				const intptr_t A = run_stack[stack_curr - 3].length;
				const intptr_t B = run_stack[stack_curr - 2].length;
				const intptr_t C = run_stack[stack_curr - 1].length;

				EASTL_DEV_ASSERT((A < 10000000) && (B < 10000000) && (C < 10000000)); // Sanity check.

				if((A <= (B + C)) || (B <= C))
					return true; // Merge the right-most runs.
			}
			else if(stack_curr == 2)
			{
				const intptr_t A = run_stack[stack_curr - 2].length;
				const intptr_t B = run_stack[stack_curr - 1].length;

				EASTL_DEV_ASSERT((A < 10000000) && (B < 10000000)); // Sanity check.

				if(A <= B)
					return true; // Merge the right-most runs.
			}

			return false; // Don't merge the right-most runs.
		}


		template <typename RandomAccessIterator, typename T, typename StrictWeakOrdering>
		intptr_t tim_sort_collapse(RandomAccessIterator first, tim_sort_run* run_stack, intptr_t stack_curr, 
								   T* pBuffer, const intptr_t size, StrictWeakOrdering compare)
		{
			// If the run_stack only has one thing on it, we are done with the collapse.
			while(stack_curr > 1)
			{
				// If this is the last merge, just do it.
				if((stack_curr == 2) && ((run_stack[0].length + run_stack[1].length) == size))
				{
					tim_sort_merge<RandomAccessIterator, T, StrictWeakOrdering>(first, run_stack, stack_curr, pBuffer, compare);
					run_stack[0].length += run_stack[1].length;
					stack_curr--;

					#if EASTL_DEV_DEBUG
						memset(&run_stack[stack_curr], 0, sizeof(run_stack[stack_curr]));
					#endif

					break;
				}
				// Check if the invariant is off for a run_stack of 2 elements.
				else if((stack_curr == 2) && (run_stack[0].length <= run_stack[1].length))
				{
					tim_sort_merge<RandomAccessIterator, T, StrictWeakOrdering>(first, run_stack, stack_curr, pBuffer, compare);
					run_stack[0].length += run_stack[1].length;
					stack_curr--;

					#if EASTL_DEV_DEBUG
						memset(&run_stack[stack_curr], 0, sizeof(run_stack[stack_curr]));
					#endif

					break;
				}
				else if (stack_curr == 2)
					break;

				const intptr_t A = run_stack[stack_curr - 3].length;
				const intptr_t B = run_stack[stack_curr - 2].length;
				const intptr_t C = run_stack[stack_curr - 1].length;
				
				if(A <= (B + C)) // Check first invariant.
				{
					if(A < C)
					{
						tim_sort_merge<RandomAccessIterator, T, StrictWeakOrdering>(first, run_stack, stack_curr - 1, pBuffer, compare);

						stack_curr--;
						run_stack[stack_curr - 2].length += run_stack[stack_curr - 1].length;   // Merge A and B.
						run_stack[stack_curr - 1] = run_stack[stack_curr];

						#if EASTL_DEV_DEBUG
							EASTL_DEV_ASSERT((run_stack[stack_curr - 2].start + run_stack[stack_curr - 2].length) <= size);
							EASTL_DEV_ASSERT((run_stack[stack_curr - 1].start + run_stack[stack_curr - 1].length) <= size);
							memset(&run_stack[stack_curr], 0, sizeof(run_stack[stack_curr]));
						#endif
					}
					else
					{
						tim_sort_merge<RandomAccessIterator, T, StrictWeakOrdering>(first, run_stack, stack_curr, pBuffer, compare);                  // Merge B and C.

						stack_curr--;
						run_stack[stack_curr - 1].length += run_stack[stack_curr].length;

						#if EASTL_DEV_DEBUG
							EASTL_DEV_ASSERT((run_stack[stack_curr - 1].start + run_stack[stack_curr - 1].length) <= size);
							memset(&run_stack[stack_curr], 0, sizeof(run_stack[stack_curr]));
						#endif
					}
				}
				else if(B <= C) // Check second invariant
				{
					tim_sort_merge<RandomAccessIterator, T, StrictWeakOrdering>(first, run_stack, stack_curr, pBuffer, compare);

					stack_curr--;
					run_stack[stack_curr - 1].length += run_stack[stack_curr].length;       // Merge B and C.

					#if EASTL_DEV_DEBUG
						EASTL_DEV_ASSERT((run_stack[stack_curr - 1].start + run_stack[stack_curr - 1].length) <= size);
						memset(&run_stack[stack_curr], 0, sizeof(run_stack[stack_curr]));
					#endif
				}
				else
					break;
			}

			return stack_curr;
		}


		// tim_sort_add_run
		//
		// Return true if the sort is done.
		//
		template <typename RandomAccessIterator, typename T, typename StrictWeakOrdering>
		bool tim_sort_add_run(tim_sort_run* run_stack, RandomAccessIterator first, T* pBuffer, const intptr_t size, const intptr_t minrun, 
							  intptr_t& len, intptr_t& run, intptr_t& curr, intptr_t& stack_curr, StrictWeakOrdering compare)
		{
			len = tim_sort_count_run<RandomAccessIterator, StrictWeakOrdering>(first, curr, size, compare); // This will count the length of the run and reverse the run if it is backwards.
			run = minrun;

			if(run < minrun)            // Always make runs be of minrun length (we'll sort the additional data as needed below)
			   run = minrun;

			if(run > (size - curr))     // But if there isn't minrun data remaining, just sort what's remaining.
			   run = (size - curr);

			if(run > len)               // If there is any additional data we want to sort to bring up the run length to minrun.
			{
				insertion_sort_already_started<RandomAccessIterator, StrictWeakOrdering>(first + curr, first + curr + run, first + curr + len, compare);
				len = run;
			}

			// At this point, run will be equal to minrun or will go to the end of our data.
			// Add this run to our stack of runs.
			EASTL_DEV_ASSERT(stack_curr < kTimSortStackSize);
			EASTL_DEV_ASSERT((curr >= 0) && (curr < size) && ((curr + len) <= size));

			run_stack[stack_curr].start  = curr;
			run_stack[stack_curr].length = len;
			stack_curr++;

			// Move to the beginning of the next run in the data.
			curr += len;

			if(curr == size)    // If we have hit the end of the data...
			{
				while(stack_curr > 1) // If there is any more than one run... (else all the data is sorted)
				{
					tim_sort_merge<RandomAccessIterator, T, StrictWeakOrdering>(first, run_stack, stack_curr, pBuffer, compare);

					run_stack[stack_curr - 2].length += run_stack[stack_curr - 1].length;
					stack_curr--;

					#if EASTL_DEV_DEBUG
						EASTL_DEV_ASSERT((run_stack[stack_curr - 1].start + run_stack[stack_curr - 1].length) <= size);
						memset(&run_stack[stack_curr], 0, sizeof(run_stack[stack_curr]));
					#endif
				}

				return true; // We are done with sorting.
			}

			return false;
		}

	} // namespace Internal


	// tim_sort_buffer
	//
	/// This is a stable sort.
	// Implements the tim-sort sorting algorithm with a user-provided scratch buffer.
	// http://en.wikipedia.org/wiki/Timsort
	// This sort is the fastest sort when sort stability (maintaining order of equal values) is required and
	// data sets are non-trivial (size >= 15). It's also the fastest sort (e.g. faster than quick_sort) for 
	// the case that at at least half your data is already sorted. Otherwise, eastl::quick_sort is about 10% 
	// faster than tim_sort_buffer but is not a stable sort. There are some reports that tim_sort outperforms
	// quick_sort but most of these aren't taking into account that optimal quick_sort implementations use
	// a hybrid approach called "introsort" (http://en.wikipedia.org/wiki/Introsort) which improves quick_sort
	// considerably in practice.
	//
	// Strengths:
	//     - Fastest stable sort for most sizes of data.
	//     - Fastest sort for containers of data already mostly sorted.
	//     - Simpler to understand than quick_sort.
	//
	// Weaknesses:
	//     - User must provide a scratch buffer, otherwise the buffer is dynamically allocated during runtime.
	//     - Not as fast as quick_sort for the general case of randomized data.
	//     - Requires a RandomAccessIterator; thus must be on an array container type and not a list container type.
	//     - Uses a lot of code to implement; thus it's not great when there is little room for more code.
	//
	// The pBuffer parameter must hold at least ((last-first)/2) elements (i.e. half the elements of the container).
	// This minimum size is a worst-case size requirement, but handles all possible cases. pBuffer is just a scratch
	// buffer and is not needed after the return of this function, and doesn't need to be seeded with any particular
	// values upon entering this function.
	//
	// Example usage:
	//     int intArray[64];
	//     int buffer[32];
	//     ...
	//     tim_sort_buffer(intArray, intArray + 64, buffer);
	//
	template <typename RandomAccessIterator, typename T, typename StrictWeakOrdering>
	void tim_sort_buffer(RandomAccessIterator first, RandomAccessIterator last, T* pBuffer, StrictWeakOrdering compare)
	{
		using namespace Internal;

		// To consider: Convert the implementation to use first/last instead of first/size.
		const intptr_t size = (intptr_t)(last - first);

		if(size < 64)
			insertion_sort_already_started(first, first + size, first + 1, compare);
		else
		{
			tim_sort_run   run_stack[kTimSortStackSize];
			intptr_t       stack_curr = 0;
			intptr_t       len, run;
			intptr_t       curr = 0;
			const intptr_t minrun = timsort_compute_minrun(size);

			#if EASTL_DEV_DEBUG
				memset(run_stack, 0, sizeof(run_stack));
			#endif

			if(tim_sort_add_run<RandomAccessIterator, T, StrictWeakOrdering>(run_stack, first, pBuffer, size, minrun, len, run, curr, stack_curr, compare))
				return;
			if(tim_sort_add_run<RandomAccessIterator, T, StrictWeakOrdering>(run_stack, first, pBuffer, size, minrun, len, run, curr, stack_curr, compare))
				return;
			if(tim_sort_add_run<RandomAccessIterator, T, StrictWeakOrdering>(run_stack, first, pBuffer, size, minrun, len, run, curr, stack_curr, compare))
				return;

			for(;;)
			{
				if(timsort_check_invariant(run_stack, stack_curr))
					stack_curr = tim_sort_collapse<RandomAccessIterator, T, StrictWeakOrdering>(first, run_stack, stack_curr, pBuffer, size, compare);
				else
				{
					if(tim_sort_add_run<RandomAccessIterator, T, StrictWeakOrdering>(run_stack, first, pBuffer, size, minrun, len, run, curr, stack_curr, compare))
						break;
				}
			}
		}
	}


	template <typename RandomAccessIterator, typename T>
	inline void tim_sort_buffer(RandomAccessIterator first, RandomAccessIterator last, T* pBuffer)
	{
		typedef eastl::less<T> Less;

		eastl::tim_sort_buffer<RandomAccessIterator, T, Less>(first, last, pBuffer, Less());
	}




	/// radix_sort
	///
	/// Implements a classic LSD (least significant digit) radix sort.
	/// See http://en.wikipedia.org/wiki/Radix_sort.
	/// This sort requires that the sorted data be of a type that has a member
	/// radix_type typedef and an mKey member of that type. The type must be
	/// an integral type. This limits what can be sorted, but radix_sort is 
	/// very fast -- typically faster than any other sort.
	/// For example:
	///     struct Sortable {
	///         typedef int radix_type;
	///         radix_type mKey;
	///         // User data goes here, or the user can inherit from Sortable.
	///     };
	/// or, more generally:
	///     template <typname Integer>
	///     struct Sortable {
	///         typedef Integer radix_type;
	///         Integer mKey;
	///     };
	/// 
	/// Example usage:
	///     struct Element {
	///         typedef uint16_t radix_type;
	///         uint16_t mKey;
	///         uint16_t mUserData;
	///     };
	///
	///     Element elementArray[100];
	///     Element buffer[100];
	///
	///     radix_sort<Element*, extract_radix_key<Element> >(elementArray, elementArray + 100, buffer);
	///
	/// To consider: A static linked-list implementation may be faster than the version here.

	namespace Internal
	{
		/// extract_radix_key
		///
		/// Default radix sort integer value reader. It expects the sorted elements 
		/// to have an integer member of type radix_type and of name "mKey". 
		///
		template <typename Node>
		struct extract_radix_key
		{
			typedef typename Node::radix_type radix_type;

			const radix_type operator()(const Node& x) const
				{ return x.mKey; }
		};

		// The radix_sort implementation uses two optimizations that are not part of a typical radix sort implementation.
		// 1. Computing a histogram (i.e. finding the number of elements per bucket) for the next pass is done in parallel with the loop that "scatters"
		//    elements in the current pass.  The advantage is that it avoids the memory traffic / cache pressure of reading keys in a separate operation.
		//    Note: It would also be possible to compute all histograms in a single pass.  However, that would increase the amount of stack space used and
		//    also increase cache pressure slightly.  However, it could still be faster under some situations.
		// 2. If all elements are mapped to a single bucket, then there is no need to perform a scatter operation.  Instead the elements are left in place
		//    and only copied if they need to be copied to the final output buffer.
		template <typename RandomAccessIterator, typename ExtractKey, int DigitBits, typename IntegerType>
		void radix_sort_impl(RandomAccessIterator first,
			RandomAccessIterator last,
			RandomAccessIterator buffer,
			ExtractKey extractKey,
			IntegerType)
		{
			RandomAccessIterator srcFirst = first;
			constexpr size_t numBuckets = 1 << DigitBits;
			constexpr IntegerType bucketMask = numBuckets - 1;

			// The alignment of this variable isn't required; it merely allows the code below to be faster on some platforms.
			uint32_t EA_PREFIX_ALIGN(EASTL_PLATFORM_PREFERRED_ALIGNMENT) bucketSize[numBuckets];
			uint32_t EA_PREFIX_ALIGN(EASTL_PLATFORM_PREFERRED_ALIGNMENT) bucketPosition[numBuckets];

			RandomAccessIterator temp;
			uint32_t i;

			bool doSeparateHistogramCalculation = true;
			uint32_t j;
			for (j = 0; j < (8 * sizeof(IntegerType)); j += DigitBits)
			{
				if (doSeparateHistogramCalculation)
				{
					memset(bucketSize, 0, sizeof(bucketSize));
					// Calculate histogram for the first scatter operation
					for (temp = srcFirst; temp != last; ++temp)
						++bucketSize[(extractKey(*temp) >> j) & bucketMask];
				}

				// If a single bucket contains all of the elements, then don't bother redistributing all elements to the
				// same bucket.
				if (bucketSize[((extractKey(*srcFirst) >> j) & bucketMask)] == uint32_t(last - srcFirst))
				{
					// Set flag to ensure histogram is computed for next digit position.
					doSeparateHistogramCalculation = true;
				}
				else
				{
					// The histogram is either not needed or it will be calculated in parallel with the scatter operation below for better cache efficiency.
					doSeparateHistogramCalculation = false;

					// If this is the last digit position, then don't calculate a histogram
					if (j == (8 * sizeof(IntegerType) - DigitBits))
					{
						bucketPosition[0] = 0;
						for (i = 0; i < numBuckets - 1; i++)
						{
							bucketPosition[i + 1] = bucketPosition[i] + bucketSize[i];
						}

						for (temp = srcFirst; temp != last; ++temp)
						{
							IntegerType key = extractKey(*temp);
							const size_t digit = (key >> j) & bucketMask;
							buffer[bucketPosition[digit]++] = *temp;
						}
					}
					// Compute the histogram while performing the scatter operation
					else
					{
						bucketPosition[0] = 0;
						for (i = 0; i < numBuckets - 1; i++)
						{
							bucketPosition[i + 1] = bucketPosition[i] + bucketSize[i];
							bucketSize[i] = 0;	// Clear the bucket for the next pass
						}

						uint32_t jNext = j + DigitBits;
						for (temp = srcFirst; temp != last; ++temp)
						{
							IntegerType key = extractKey(*temp);
							const size_t digit = (key >> j) & bucketMask;
							buffer[bucketPosition[digit]++] = *temp;

							// Update histogram for the next scatter operation
							++bucketSize[(extractKey(*temp) >> jNext) & bucketMask];
						}
					}

					last = buffer + (last - srcFirst);
					temp = srcFirst;
					srcFirst = buffer;
					buffer = temp;
				}
			}

			if (srcFirst != first)
			{
				// Copy values back into the expected buffer
				for (temp = srcFirst; temp != last; ++temp)
					*buffer++ = *temp;
			}
		}
	} // namespace Internal

	template <typename RandomAccessIterator, typename ExtractKey, int DigitBits = 8>
	void radix_sort(RandomAccessIterator first, RandomAccessIterator last, RandomAccessIterator buffer)
	{
		static_assert(DigitBits > 0, "DigitBits must be > 0");
		static_assert(DigitBits <= (sizeof(typename ExtractKey::radix_type) * 8), "DigitBits must be <= the size of the key (in bits)");
		eastl::Internal::radix_sort_impl<RandomAccessIterator, ExtractKey, DigitBits>(first, last, buffer, ExtractKey(), typename ExtractKey::radix_type());
	}



	/// comb_sort
	///
	/// This is an unstable sort.
	/// Implements the CombSort algorithm; in particular, implements the CombSort11 variation 
	/// of the CombSort algorithm, based on the reference to '11' in the implementation.
	///
	/// To consider: Use a comb sort table instead of the '((nSpace * 10) + 3) / 13' expression.
	///              Ideal tables can be found on the Internet by looking up "comb sort table".
	///
	template <typename ForwardIterator, typename StrictWeakOrdering>
	void comb_sort(ForwardIterator first, ForwardIterator last, StrictWeakOrdering compare)
	{
		typedef typename eastl::iterator_traits<ForwardIterator>::difference_type difference_type;

		ForwardIterator iCurrent, iNext;
		difference_type length = eastl::distance(first, last);
		difference_type nSpace = length;

		for(bool bSwapped = false; (nSpace > 1) || bSwapped; )
		{
			nSpace = ((nSpace * 10) + 3) / 13; // Integer division is less than ideal.

			if((nSpace == 9) || (nSpace == 10))
				nSpace = 11;

			iCurrent = iNext = first;
			eastl::advance(iNext, nSpace);
			
			for(bSwapped = false; iNext != last; iCurrent++, iNext++)
			{
				if(compare(*iNext, *iCurrent))
				{
					EASTL_VALIDATE_COMPARE(!compare(*iCurrent, *iNext)); // Validate that the compare function is sane.
					eastl::iter_swap(iCurrent, iNext);
					bSwapped = true;
				}
			}
		}
	} // comb_sort

	template <typename ForwardIterator>
	inline void comb_sort(ForwardIterator first, ForwardIterator last)
	{
		typedef eastl::less<typename eastl::iterator_traits<ForwardIterator>::value_type> Less;

		eastl::comb_sort<ForwardIterator, Less>(first, last, Less());
	}




	/// bubble_sort
	///
	/// This is a stable sort.
	/// Implements the BubbleSort algorithm. This algorithm is only useful for 
	/// small range sizes, such as 10 or less items. You may be better off using
	/// insertion_sort for cases where bubble_sort works.
	///
	namespace Internal
	{
		template <typename ForwardIterator, typename StrictWeakOrdering>
		void bubble_sort_impl(ForwardIterator first, ForwardIterator last, StrictWeakOrdering compare, EASTL_ITC_NS::forward_iterator_tag)
		{
			ForwardIterator iCurrent, iNext;

			while(first != last)
			{
				iNext = iCurrent = first;
				
				for(++iNext; iNext != last; iCurrent = iNext, ++iNext) 
				{
					if(compare(*iNext, *iCurrent))
					{
						EASTL_VALIDATE_COMPARE(!compare(*iCurrent, *iNext)); // Validate that the compare function is sane.
						eastl::iter_swap(iCurrent, iNext);
					}
				}
				last = iCurrent;
			}
		}

		template <typename BidirectionalIterator, typename StrictWeakOrdering>
		void bubble_sort_impl(BidirectionalIterator first, BidirectionalIterator last, StrictWeakOrdering compare, EASTL_ITC_NS::bidirectional_iterator_tag)
		{
			if(first != last)
			{
				BidirectionalIterator iCurrent, iNext, iLastModified;

				last--;

				while(first != last)
				{
					iLastModified = iNext = iCurrent = first;
					
					for(++iNext; iCurrent != last; iCurrent = iNext, ++iNext)
					{
						if(compare(*iNext, *iCurrent))
						{
							EASTL_VALIDATE_COMPARE(!compare(*iCurrent, *iNext)); // Validate that the compare function is sane.
							iLastModified = iCurrent;
							eastl::iter_swap(iCurrent, iNext);
						}
					}

					last = iLastModified;
				}
			}
		}
	} // namespace Internal

	template <typename ForwardIterator, typename StrictWeakOrdering>
	inline void bubble_sort(ForwardIterator first, ForwardIterator last, StrictWeakOrdering compare)
	{
		typedef typename eastl::iterator_traits<ForwardIterator>::iterator_category IC;

		eastl::Internal::bubble_sort_impl<ForwardIterator, StrictWeakOrdering>(first, last, compare, IC());
	}

	template <typename ForwardIterator>
	inline void bubble_sort(ForwardIterator first, ForwardIterator last)
	{
		typedef eastl::less<typename eastl::iterator_traits<ForwardIterator>::value_type> Less;
		typedef typename eastl::iterator_traits<ForwardIterator>::iterator_category IC;

		eastl::Internal::bubble_sort_impl<ForwardIterator, Less>(first, last, Less(), IC());
	}



	/// sort
	/// 
	/// We use quick_sort by default. See quick_sort for details.
	///
	/// EASTL_DEFAULT_SORT_FUNCTION
	/// If a default sort function is specified then call it, otherwise use EASTL's default quick_sort.
	/// EASTL_DEFAULT_SORT_FUNCTION must be namespace-qualified and include any necessary template
	/// parameters (e.g. eastl::comb_sort instead of just comb_sort), and it must be visible to this code. 
	/// The EASTL_DEFAULT_SORT_FUNCTION must be provided in two versions: 
	///     template <typename RandomAccessIterator>
	///     void EASTL_DEFAULT_SORT_FUNCTION(RandomAccessIterator first, RandomAccessIterator last);
	///
	///     template <typename RandomAccessIterator, typename Compare>
	///     void EASTL_DEFAULT_SORT_FUNCTION(RandomAccessIterator first, RandomAccessIterator last, Compare compare)
	///
	template <typename RandomAccessIterator>
	inline void sort(RandomAccessIterator first, RandomAccessIterator last)
	{
		#if defined(EASTL_DEFAULT_SORT_FUNCTION)
			EASTL_DEFAULT_SORT_FUNCTION(first, last);
		#else
			eastl::quick_sort<RandomAccessIterator>(first, last);
		#endif
	}

	template <typename RandomAccessIterator, typename Compare>
	inline void sort(RandomAccessIterator first, RandomAccessIterator last, Compare compare)
	{
		#if defined(EASTL_DEFAULT_SORT_FUNCTION)
			EASTL_DEFAULT_SORT_FUNCTION(first, last, compare);
		#else
			eastl::quick_sort<RandomAccessIterator, Compare>(first, last, compare);
		#endif
	}



	/// stable_sort
	/// 
	/// We use merge_sort by default. See merge_sort for details.
	/// Beware that the used merge_sort -- and thus stable_sort -- allocates 
	/// memory during execution. Try using merge_sort_buffer if you want
	/// to avoid memory allocation.
	///
	/// EASTL_DEFAULT_STABLE_SORT_FUNCTION
	/// If a default sort function is specified then call it, otherwise use EASTL's default merge_sort.
	/// EASTL_DEFAULT_STABLE_SORT_FUNCTION must be namespace-qualified and include any necessary template
	/// parameters (e.g. eastl::tim_sort instead of just tim_sort), and it must be visible to this code. 
	/// The EASTL_DEFAULT_STABLE_SORT_FUNCTION must be provided in three versions, though the third
	/// allocation implementation may choose to ignore the allocator parameter: 
	///     template <typename RandomAccessIterator, typename StrictWeakOrdering>
	///     void EASTL_DEFAULT_STABLE_SORT_FUNCTION(RandomAccessIterator first, RandomAccessIterator last, StrictWeakOrdering compare);
	///     
	///     template <typename RandomAccessIterator>
	///     void EASTL_DEFAULT_STABLE_SORT_FUNCTION(RandomAccessIterator first, RandomAccessIterator last);
	///
	///     template <typename RandomAccessIterator, typename Allocator, typename StrictWeakOrdering>
	///     void EASTL_DEFAULT_STABLE_SORT_FUNCTION(RandomAccessIterator first, RandomAccessIterator last, Allocator& allocator, StrictWeakOrdering compare);
	///
	template <typename RandomAccessIterator, typename StrictWeakOrdering>
	void stable_sort(RandomAccessIterator first, RandomAccessIterator last, StrictWeakOrdering compare)
	{
		#if defined(EASTL_DEFAULT_STABLE_SORT_FUNCTION)
			EASTL_DEFAULT_STABLE_SORT_FUNCTION(first, last, *get_default_allocator(0), compare);
		#else
			eastl::merge_sort<RandomAccessIterator, EASTLAllocatorType, StrictWeakOrdering>
							 (first, last, *get_default_allocator(0), compare);
		#endif
	}

	template <typename RandomAccessIterator>
	void stable_sort(RandomAccessIterator first, RandomAccessIterator last)
	{
		#if defined(EASTL_DEFAULT_STABLE_SORT_FUNCTION)
			EASTL_DEFAULT_STABLE_SORT_FUNCTION(first, last, *get_default_allocator(0));
		#else
			eastl::merge_sort<RandomAccessIterator, EASTLAllocatorType>
							 (first, last, *get_default_allocator(0));
		#endif
	}

	template <typename RandomAccessIterator, typename Allocator, typename StrictWeakOrdering>
	void stable_sort(RandomAccessIterator first, RandomAccessIterator last, Allocator& allocator, StrictWeakOrdering compare)
	{
		#if defined(EASTL_DEFAULT_STABLE_SORT_FUNCTION)
			EASTL_DEFAULT_STABLE_SORT_FUNCTION(first, last, allocator, compare);
		#else
			eastl::merge_sort<RandomAccessIterator, Allocator, StrictWeakOrdering>(first, last, allocator, compare);
		#endif
	}

	// This is not defined because it would cause compiler errors due to conflicts with a version above. 
	//template <typename RandomAccessIterator, typename Allocator>
	//void stable_sort(RandomAccessIterator first, RandomAccessIterator last, Allocator& allocator)
	//{
	//    #if defined(EASTL_DEFAULT_STABLE_SORT_FUNCTION)
	//        EASTL_DEFAULT_STABLE_SORT_FUNCTION<RandomAccessIterator, Allocator>(first, last, allocator);
	//    #else
	//        eastl::merge_sort<RandomAccessIterator, Allocator>(first, last, allocator);
	//    #endif
	//}




	/* 
	// Something to consider adding: An eastl sort which uses qsort underneath. 
	// The primary purpose of this is to have an eastl interface for sorting which
	// results in very little code generation, since all instances map to the 
	// C qsort function.

	template <typename T>
	int small_footprint_sort_func(const void* a, const void* b)
	{
		if(*(const T*)a < *(const T*)b)
			return -1;
		if(*(const T*)a > *(const T*)b)
			return +1;
		return 0;
	}

	template <typename ContiguousIterator>
	void small_footprint_sort(ContiguousIterator first, ContiguousIterator last)
	{
		typedef typename eastl::iterator_traits<ContiguousIterator>::value_type value_type;

		qsort(first, (size_t)eastl::distance(first, last), sizeof(value_type), small_footprint_sort_func<value_type>);
	}
	*/

} // namespace eastl



