| 1 | /* | 
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| 2 | pdqsort.h - Pattern-defeating quicksort. | 
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| 3 |  | 
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| 4 | Copyright (c) 2015 Orson Peters | 
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| 5 |  | 
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| 6 | This software is provided 'as-is', without any express or implied warranty. In no event will the | 
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| 7 | authors be held liable for any damages arising from the use of this software. | 
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| 8 |  | 
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| 9 | Permission is granted to anyone to use this software for any purpose, including commercial | 
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| 10 | applications, and to alter it and redistribute it freely, subject to the following restrictions: | 
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| 11 |  | 
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| 12 | 1. The origin of this software must not be misrepresented; you must not claim that you wrote the | 
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| 13 | original software. If you use this software in a product, an acknowledgment in the product | 
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| 14 | documentation would be appreciated but is not required. | 
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| 15 |  | 
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| 16 | 2. Altered source versions must be plainly marked as such, and must not be misrepresented as | 
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| 17 | being the original software. | 
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| 18 |  | 
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| 19 | 3. This notice may not be removed or altered from any source distribution. | 
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| 20 | */ | 
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| 21 |  | 
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| 22 |  | 
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| 23 | #ifndef PDQSORT_H | 
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| 24 | #define PDQSORT_H | 
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| 25 |  | 
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| 26 | #include <algorithm> | 
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| 27 | #include <cstddef> | 
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| 28 | #include <functional> | 
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| 29 | #include <utility> | 
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| 30 | #include <iterator> | 
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| 31 |  | 
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| 32 | #if __cplusplus >= 201103L | 
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| 33 | #include <cstdint> | 
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| 34 | #include <type_traits> | 
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| 35 | #define PDQSORT_PREFER_MOVE(x) std::move(x) | 
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| 36 | #else | 
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| 37 | #define PDQSORT_PREFER_MOVE(x) (x) | 
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| 38 | #endif | 
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| 39 |  | 
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| 40 |  | 
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| 41 | namespace pdqsort_detail { | 
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| 42 | enum { | 
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| 43 | // Partitions below this size are sorted using insertion sort. | 
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| 44 | insertion_sort_threshold = 24, | 
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| 45 |  | 
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| 46 | // Partitions above this size use Tukey's ninther to select the pivot. | 
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| 47 | ninther_threshold = 128, | 
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| 48 |  | 
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| 49 | // When we detect an already sorted partition, attempt an insertion sort that allows this | 
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| 50 | // amount of element moves before giving up. | 
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| 51 | partial_insertion_sort_limit = 8, | 
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| 52 |  | 
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| 53 | // Must be multiple of 8 due to loop unrolling, and < 256 to fit in unsigned char. | 
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| 54 | block_size = 64, | 
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| 55 |  | 
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| 56 | // Cacheline size, assumes power of two. | 
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| 57 | cacheline_size = 64 | 
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| 58 |  | 
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| 59 | }; | 
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| 60 |  | 
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| 61 | #if __cplusplus >= 201103L | 
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| 62 | template<class T> struct is_default_compare : std::false_type { }; | 
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| 63 | template<class T> struct is_default_compare<std::less<T>> : std::true_type { }; | 
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| 64 | template<class T> struct is_default_compare<std::greater<T>> : std::true_type { }; | 
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| 65 | #endif | 
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| 66 |  | 
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| 67 | // Returns floor(log2(n)), assumes n > 0. | 
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| 68 | template<class T> | 
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| 69 | inline int log2(T n) { | 
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| 70 | int log = 0; | 
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| 71 | while (n >>= 1) ++log; | 
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| 72 | return log; | 
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| 73 | } | 
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| 74 |  | 
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| 75 | // Sorts [begin, end) using insertion sort with the given comparison function. | 
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| 76 | template<class Iter, class Compare> | 
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| 77 | inline void insertion_sort(Iter begin, Iter end, Compare comp) { | 
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| 78 | typedef typename std::iterator_traits<Iter>::value_type T; | 
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| 79 | if (begin == end) return; | 
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| 80 |  | 
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| 81 | for (Iter cur = begin + 1; cur != end; ++cur) { | 
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| 82 | Iter sift = cur; | 
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| 83 | Iter sift_1 = cur - 1; | 
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| 84 |  | 
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| 85 | // Compare first so we can avoid 2 moves for an element already positioned correctly. | 
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| 86 | if (comp(*sift, *sift_1)) { | 
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| 87 | T tmp = PDQSORT_PREFER_MOVE(*sift); | 
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| 88 |  | 
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| 89 | do { *sift-- = PDQSORT_PREFER_MOVE(*sift_1); } | 
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| 90 | while (sift != begin && comp(tmp, *--sift_1)); | 
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| 91 |  | 
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| 92 | *sift = PDQSORT_PREFER_MOVE(tmp); | 
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| 93 | } | 
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| 94 | } | 
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| 95 | } | 
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| 96 |  | 
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| 97 | // Sorts [begin, end) using insertion sort with the given comparison function. Assumes | 
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| 98 | // *(begin - 1) is an element smaller than or equal to any element in [begin, end). | 
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| 99 | template<class Iter, class Compare> | 
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| 100 | inline void unguarded_insertion_sort(Iter begin, Iter end, Compare comp) { | 
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| 101 | typedef typename std::iterator_traits<Iter>::value_type T; | 
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| 102 | if (begin == end) return; | 
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| 103 |  | 
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| 104 | for (Iter cur = begin + 1; cur != end; ++cur) { | 
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| 105 | Iter sift = cur; | 
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| 106 | Iter sift_1 = cur - 1; | 
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| 107 |  | 
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| 108 | // Compare first so we can avoid 2 moves for an element already positioned correctly. | 
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| 109 | if (comp(*sift, *sift_1)) { | 
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| 110 | T tmp = PDQSORT_PREFER_MOVE(*sift); | 
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| 111 |  | 
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| 112 | do { *sift-- = PDQSORT_PREFER_MOVE(*sift_1); } | 
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| 113 | while (comp(tmp, *--sift_1)); | 
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| 114 |  | 
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| 115 | *sift = PDQSORT_PREFER_MOVE(tmp); | 
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| 116 | } | 
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| 117 | } | 
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| 118 | } | 
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| 119 |  | 
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| 120 | // Attempts to use insertion sort on [begin, end). Will return false if more than | 
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| 121 | // partial_insertion_sort_limit elements were moved, and abort sorting. Otherwise it will | 
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| 122 | // successfully sort and return true. | 
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| 123 | template<class Iter, class Compare> | 
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| 124 | inline bool partial_insertion_sort(Iter begin, Iter end, Compare comp) { | 
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| 125 | typedef typename std::iterator_traits<Iter>::value_type T; | 
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| 126 | if (begin == end) return true; | 
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| 127 |  | 
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| 128 | int limit = 0; | 
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| 129 | for (Iter cur = begin + 1; cur != end; ++cur) { | 
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| 130 | if (limit > partial_insertion_sort_limit) return false; | 
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| 131 |  | 
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| 132 | Iter sift = cur; | 
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| 133 | Iter sift_1 = cur - 1; | 
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| 134 |  | 
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| 135 | // Compare first so we can avoid 2 moves for an element already positioned correctly. | 
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| 136 | if (comp(*sift, *sift_1)) { | 
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| 137 | T tmp = PDQSORT_PREFER_MOVE(*sift); | 
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| 138 |  | 
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| 139 | do { *sift-- = PDQSORT_PREFER_MOVE(*sift_1); } | 
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| 140 | while (sift != begin && comp(tmp, *--sift_1)); | 
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| 141 |  | 
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| 142 | *sift = PDQSORT_PREFER_MOVE(tmp); | 
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| 143 | limit += cur - sift; | 
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| 144 | } | 
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| 145 | } | 
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| 146 |  | 
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| 147 | return true; | 
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| 148 | } | 
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| 149 |  | 
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| 150 | template<class Iter, class Compare> | 
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| 151 | inline void sort2(Iter a, Iter b, Compare comp) { | 
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| 152 | if (comp(*b, *a)) std::iter_swap(a, b); | 
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| 153 | } | 
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| 154 |  | 
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| 155 | // Sorts the elements *a, *b and *c using comparison function comp. | 
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| 156 | template<class Iter, class Compare> | 
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| 157 | inline void sort3(Iter a, Iter b, Iter c, Compare comp) { | 
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| 158 | sort2(a, b, comp); | 
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| 159 | sort2(b, c, comp); | 
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| 160 | sort2(a, b, comp); | 
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| 161 | } | 
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| 162 |  | 
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| 163 | template<class T> | 
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| 164 | inline T* align_cacheline(T* p) { | 
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| 165 | #if defined(UINTPTR_MAX) && __cplusplus >= 201103L | 
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| 166 | std::uintptr_t ip = reinterpret_cast<std::uintptr_t>(p); | 
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| 167 | #else | 
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| 168 | std::size_t ip = reinterpret_cast<std::size_t>(p); | 
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| 169 | #endif | 
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| 170 | ip = (ip + cacheline_size - 1) & -cacheline_size; | 
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| 171 | return reinterpret_cast<T*>(ip); | 
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| 172 | } | 
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| 173 |  | 
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| 174 | template<class Iter> | 
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| 175 | inline void swap_offsets(Iter first, Iter last, | 
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| 176 | unsigned char* offsets_l, unsigned char* offsets_r, | 
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| 177 | int num, bool use_swaps) { | 
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| 178 | typedef typename std::iterator_traits<Iter>::value_type T; | 
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| 179 | if (use_swaps) { | 
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| 180 | // This case is needed for the descending distribution, where we need | 
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| 181 | // to have proper swapping for pdqsort to remain O(n). | 
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| 182 | for (int i = 0; i < num; ++i) { | 
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| 183 | std::iter_swap(first + offsets_l[i], last - offsets_r[i]); | 
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| 184 | } | 
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| 185 | } else if (num > 0) { | 
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| 186 | Iter l = first + offsets_l[0]; Iter r = last - offsets_r[0]; | 
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| 187 | T tmp(PDQSORT_PREFER_MOVE(*l)); *l = PDQSORT_PREFER_MOVE(*r); | 
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| 188 | for (int i = 1; i < num; ++i) { | 
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| 189 | l = first + offsets_l[i]; *r = PDQSORT_PREFER_MOVE(*l); | 
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| 190 | r = last - offsets_r[i]; *l = PDQSORT_PREFER_MOVE(*r); | 
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| 191 | } | 
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| 192 | *r = PDQSORT_PREFER_MOVE(tmp); | 
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| 193 | } | 
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| 194 | } | 
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| 195 |  | 
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| 196 | // Partitions [begin, end) around pivot *begin using comparison function comp. Elements equal | 
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| 197 | // to the pivot are put in the right-hand partition. Returns the position of the pivot after | 
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| 198 | // partitioning and whether the passed sequence already was correctly partitioned. Assumes the | 
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| 199 | // pivot is a median of at least 3 elements and that [begin, end) is at least | 
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| 200 | // insertion_sort_threshold long. Uses branchless partitioning. | 
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| 201 | template<class Iter, class Compare> | 
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| 202 | inline std::pair<Iter, bool> partition_right_branchless(Iter begin, Iter end, Compare comp) { | 
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| 203 | typedef typename std::iterator_traits<Iter>::value_type T; | 
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| 204 |  | 
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| 205 | // Move pivot into local for speed. | 
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| 206 | T pivot(PDQSORT_PREFER_MOVE(*begin)); | 
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| 207 | Iter first = begin; | 
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| 208 | Iter last = end; | 
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| 209 |  | 
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| 210 | // Find the first element greater than or equal than the pivot (the median of 3 guarantees | 
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| 211 | // this exists). | 
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| 212 | while (comp(*++first, pivot)); | 
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| 213 |  | 
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| 214 | // Find the first element strictly smaller than the pivot. We have to guard this search if | 
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| 215 | // there was no element before *first. | 
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| 216 | if (first - 1 == begin) while (first < last && !comp(*--last, pivot)); | 
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| 217 | else                    while (                !comp(*--last, pivot)); | 
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| 218 |  | 
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| 219 | // If the first pair of elements that should be swapped to partition are the same element, | 
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| 220 | // the passed in sequence already was correctly partitioned. | 
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| 221 | bool already_partitioned = first >= last; | 
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| 222 | if (!already_partitioned) { | 
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| 223 | std::iter_swap(first, last); | 
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| 224 | ++first; | 
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| 225 | } | 
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| 226 |  | 
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| 227 | // The following branchless partitioning is derived from "BlockQuicksort: How Branch | 
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| 228 | // Mispredictions don’t affect Quicksort" by Stefan Edelkamp and Armin Weiss. | 
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| 229 | unsigned char offsets_l_storage[block_size + cacheline_size]; | 
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| 230 | unsigned char offsets_r_storage[block_size + cacheline_size]; | 
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| 231 | unsigned char* offsets_l = align_cacheline(offsets_l_storage); | 
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| 232 | unsigned char* offsets_r = align_cacheline(offsets_r_storage); | 
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| 233 | int num_l, num_r, start_l, start_r; | 
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| 234 | num_l = num_r = start_l = start_r = 0; | 
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| 235 |  | 
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| 236 | while (last - first > 2 * block_size) { | 
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| 237 | // Fill up offset blocks with elements that are on the wrong side. | 
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| 238 | if (num_l == 0) { | 
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| 239 | start_l = 0; | 
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| 240 | Iter it = first; | 
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| 241 | for (unsigned char i = 0; i < block_size;) { | 
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| 242 | offsets_l[num_l] = i++; num_l += !comp(*it, pivot); ++it; | 
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| 243 | offsets_l[num_l] = i++; num_l += !comp(*it, pivot); ++it; | 
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| 244 | offsets_l[num_l] = i++; num_l += !comp(*it, pivot); ++it; | 
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| 245 | offsets_l[num_l] = i++; num_l += !comp(*it, pivot); ++it; | 
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| 246 | offsets_l[num_l] = i++; num_l += !comp(*it, pivot); ++it; | 
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| 247 | offsets_l[num_l] = i++; num_l += !comp(*it, pivot); ++it; | 
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| 248 | offsets_l[num_l] = i++; num_l += !comp(*it, pivot); ++it; | 
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| 249 | offsets_l[num_l] = i++; num_l += !comp(*it, pivot); ++it; | 
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| 250 | } | 
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| 251 | } | 
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| 252 | if (num_r == 0) { | 
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| 253 | start_r = 0; | 
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| 254 | Iter it = last; | 
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| 255 | for (unsigned char i = 0; i < block_size;) { | 
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| 256 | offsets_r[num_r] = ++i; num_r += comp(*--it, pivot); | 
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| 257 | offsets_r[num_r] = ++i; num_r += comp(*--it, pivot); | 
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| 258 | offsets_r[num_r] = ++i; num_r += comp(*--it, pivot); | 
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| 259 | offsets_r[num_r] = ++i; num_r += comp(*--it, pivot); | 
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| 260 | offsets_r[num_r] = ++i; num_r += comp(*--it, pivot); | 
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| 261 | offsets_r[num_r] = ++i; num_r += comp(*--it, pivot); | 
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| 262 | offsets_r[num_r] = ++i; num_r += comp(*--it, pivot); | 
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| 263 | offsets_r[num_r] = ++i; num_r += comp(*--it, pivot); | 
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| 264 | } | 
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| 265 | } | 
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| 266 |  | 
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| 267 | // Swap elements and update block sizes and first/last boundaries. | 
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| 268 | int num = std::min(num_l, num_r); | 
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| 269 | swap_offsets(first, last, offsets_l + start_l, offsets_r + start_r, | 
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| 270 | num, num_l == num_r); | 
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| 271 | num_l -= num; num_r -= num; | 
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| 272 | start_l += num; start_r += num; | 
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| 273 | if (num_l == 0) first += block_size; | 
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| 274 | if (num_r == 0) last -= block_size; | 
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| 275 | } | 
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| 276 |  | 
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| 277 | int l_size = 0, r_size = 0; | 
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| 278 | int unknown_left = (last - first) - ((num_r || num_l) ? block_size : 0); | 
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| 279 | if (num_r) { | 
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| 280 | // Handle leftover block by assigning the unknown elements to the other block. | 
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| 281 | l_size = unknown_left; | 
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| 282 | r_size = block_size; | 
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| 283 | } else if (num_l) { | 
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| 284 | l_size = block_size; | 
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| 285 | r_size = unknown_left; | 
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| 286 | } else { | 
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| 287 | // No leftover block, split the unknown elements in two blocks. | 
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| 288 | l_size = unknown_left/2; | 
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| 289 | r_size = unknown_left - l_size; | 
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| 290 | } | 
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| 291 |  | 
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| 292 | // Fill offset buffers if needed. | 
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| 293 | if (unknown_left && !num_l) { | 
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| 294 | start_l = 0; | 
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| 295 | Iter it = first; | 
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| 296 | for (unsigned char i = 0; i < l_size;) { | 
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| 297 | offsets_l[num_l] = i++; num_l += !comp(*it, pivot); ++it; | 
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| 298 | } | 
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| 299 | } | 
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| 300 | if (unknown_left && !num_r) { | 
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| 301 | start_r = 0; | 
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| 302 | Iter it = last; | 
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| 303 | for (unsigned char i = 0; i < r_size;) { | 
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| 304 | offsets_r[num_r] = ++i; num_r += comp(*--it, pivot); | 
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| 305 | } | 
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| 306 | } | 
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| 307 |  | 
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| 308 | int num = std::min(num_l, num_r); | 
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| 309 | swap_offsets(first, last, offsets_l + start_l, offsets_r + start_r, num, num_l == num_r); | 
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| 310 | num_l -= num; num_r -= num; | 
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| 311 | start_l += num; start_r += num; | 
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| 312 | if (num_l == 0) first += l_size; | 
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| 313 | if (num_r == 0) last -= r_size; | 
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| 314 |  | 
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| 315 | // We have now fully identified [first, last)'s proper position. Swap the last elements. | 
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| 316 | if (num_l) { | 
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| 317 | offsets_l += start_l; | 
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| 318 | while (num_l--) std::iter_swap(first + offsets_l[num_l], --last); | 
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| 319 | first = last; | 
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| 320 | } | 
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| 321 | if (num_r) { | 
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| 322 | offsets_r += start_r; | 
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| 323 | while (num_r--) std::iter_swap(last - offsets_r[num_r], first), ++first; | 
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| 324 | last = first; | 
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| 325 | } | 
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| 326 |  | 
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| 327 | // Put the pivot in the right place. | 
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| 328 | Iter pivot_pos = first - 1; | 
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| 329 | *begin = PDQSORT_PREFER_MOVE(*pivot_pos); | 
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| 330 | *pivot_pos = PDQSORT_PREFER_MOVE(pivot); | 
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| 331 |  | 
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| 332 | return std::make_pair(pivot_pos, already_partitioned); | 
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| 333 | } | 
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| 334 |  | 
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| 335 | // Partitions [begin, end) around pivot *begin using comparison function comp. Elements equal | 
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| 336 | // to the pivot are put in the right-hand partition. Returns the position of the pivot after | 
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| 337 | // partitioning and whether the passed sequence already was correctly partitioned. Assumes the | 
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| 338 | // pivot is a median of at least 3 elements and that [begin, end) is at least | 
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| 339 | // insertion_sort_threshold long. | 
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| 340 | template<class Iter, class Compare> | 
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| 341 | inline std::pair<Iter, bool> partition_right(Iter begin, Iter end, Compare comp) { | 
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| 342 | typedef typename std::iterator_traits<Iter>::value_type T; | 
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| 343 |  | 
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| 344 | // Move pivot into local for speed. | 
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| 345 | T pivot(PDQSORT_PREFER_MOVE(*begin)); | 
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| 346 |  | 
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| 347 | Iter first = begin; | 
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| 348 | Iter last = end; | 
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| 349 |  | 
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| 350 | // Find the first element greater than or equal than the pivot (the median of 3 guarantees | 
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| 351 | // this exists). | 
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| 352 | while (comp(*++first, pivot)); | 
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| 353 |  | 
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| 354 | // Find the first element strictly smaller than the pivot. We have to guard this search if | 
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| 355 | // there was no element before *first. | 
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| 356 | if (first - 1 == begin) while (first < last && !comp(*--last, pivot)); | 
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| 357 | else                    while (                !comp(*--last, pivot)); | 
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| 358 |  | 
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| 359 | // If the first pair of elements that should be swapped to partition are the same element, | 
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| 360 | // the passed in sequence already was correctly partitioned. | 
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| 361 | bool already_partitioned = first >= last; | 
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| 362 |  | 
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| 363 | // Keep swapping pairs of elements that are on the wrong side of the pivot. Previously | 
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| 364 | // swapped pairs guard the searches, which is why the first iteration is special-cased | 
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| 365 | // above. | 
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| 366 | while (first < last) { | 
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| 367 | std::iter_swap(first, last); | 
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| 368 | while (comp(*++first, pivot)); | 
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| 369 | while (!comp(*--last, pivot)); | 
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| 370 | } | 
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| 371 |  | 
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| 372 | // Put the pivot in the right place. | 
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| 373 | Iter pivot_pos = first - 1; | 
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| 374 | *begin = PDQSORT_PREFER_MOVE(*pivot_pos); | 
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| 375 | *pivot_pos = PDQSORT_PREFER_MOVE(pivot); | 
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| 376 |  | 
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| 377 | return std::make_pair(pivot_pos, already_partitioned); | 
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| 378 | } | 
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| 379 |  | 
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| 380 | // Similar function to the one above, except elements equal to the pivot are put to the left of | 
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| 381 | // the pivot and it doesn't check or return if the passed sequence already was partitioned. | 
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| 382 | // Since this is rarely used (the many equal case), and in that case pdqsort already has O(n) | 
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| 383 | // performance, no block quicksort is applied here for simplicity. | 
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| 384 | template<class Iter, class Compare> | 
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| 385 | inline Iter partition_left(Iter begin, Iter end, Compare comp) { | 
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| 386 | typedef typename std::iterator_traits<Iter>::value_type T; | 
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| 387 |  | 
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| 388 | T pivot(PDQSORT_PREFER_MOVE(*begin)); | 
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| 389 | Iter first = begin; | 
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| 390 | Iter last = end; | 
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| 391 |  | 
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| 392 | while (comp(pivot, *--last)); | 
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| 393 |  | 
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| 394 | if (last + 1 == end) while (first < last && !comp(pivot, *++first)); | 
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| 395 | else                 while (                !comp(pivot, *++first)); | 
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| 396 |  | 
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| 397 | while (first < last) { | 
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| 398 | std::iter_swap(first, last); | 
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| 399 | while (comp(pivot, *--last)); | 
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| 400 | while (!comp(pivot, *++first)); | 
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| 401 | } | 
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| 402 |  | 
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| 403 | Iter pivot_pos = last; | 
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| 404 | *begin = PDQSORT_PREFER_MOVE(*pivot_pos); | 
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| 405 | *pivot_pos = PDQSORT_PREFER_MOVE(pivot); | 
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| 406 |  | 
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| 407 | return pivot_pos; | 
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| 408 | } | 
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| 409 |  | 
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| 410 |  | 
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| 411 | template<class Iter, class Compare, bool Branchless> | 
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| 412 | inline void pdqsort_loop(Iter begin, Iter end, Compare comp, int bad_allowed, bool leftmost = true) { | 
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| 413 | typedef typename std::iterator_traits<Iter>::difference_type diff_t; | 
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| 414 |  | 
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| 415 | // Use a while loop for tail recursion elimination. | 
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| 416 | while (true) { | 
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| 417 | diff_t size = end - begin; | 
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| 418 |  | 
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| 419 | // Insertion sort is faster for small arrays. | 
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| 420 | if (size < insertion_sort_threshold) { | 
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| 421 | if (leftmost) insertion_sort(begin, end, comp); | 
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| 422 | else unguarded_insertion_sort(begin, end, comp); | 
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| 423 | return; | 
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| 424 | } | 
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| 425 |  | 
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| 426 | // Choose pivot as median of 3 or pseudomedian of 9. | 
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| 427 | diff_t s2 = size / 2; | 
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| 428 | if (size > ninther_threshold) { | 
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| 429 | sort3(begin, begin + s2, end - 1, comp); | 
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| 430 | sort3(begin + 1, begin + (s2 - 1), end - 2, comp); | 
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| 431 | sort3(begin + 2, begin + (s2 + 1), end - 3, comp); | 
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| 432 | sort3(begin + (s2 - 1), begin + s2, begin + (s2 + 1), comp); | 
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| 433 | std::iter_swap(begin, begin + s2); | 
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| 434 | } else sort3(begin + s2, begin, end - 1, comp); | 
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| 435 |  | 
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| 436 | // If *(begin - 1) is the end of the right partition of a previous partition operation | 
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| 437 | // there is no element in [begin, end) that is smaller than *(begin - 1). Then if our | 
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| 438 | // pivot compares equal to *(begin - 1) we change strategy, putting equal elements in | 
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| 439 | // the left partition, greater elements in the right partition. We do not have to | 
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| 440 | // recurse on the left partition, since it's sorted (all equal). | 
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| 441 | if (!leftmost && !comp(*(begin - 1), *begin)) { | 
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| 442 | begin = partition_left(begin, end, comp) + 1; | 
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| 443 | continue; | 
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| 444 | } | 
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| 445 |  | 
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| 446 | // Partition and get results. | 
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| 447 | std::pair<Iter, bool> part_result = | 
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| 448 | Branchless ? partition_right_branchless(begin, end, comp) | 
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| 449 | : partition_right(begin, end, comp); | 
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| 450 | Iter pivot_pos = part_result.first; | 
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| 451 | bool already_partitioned = part_result.second; | 
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| 452 |  | 
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| 453 | // Check for a highly unbalanced partition. | 
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| 454 | diff_t l_size = pivot_pos - begin; | 
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| 455 | diff_t r_size = end - (pivot_pos + 1); | 
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| 456 | bool highly_unbalanced = l_size < size / 8 || r_size < size / 8; | 
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| 457 |  | 
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| 458 | // If we got a highly unbalanced partition we shuffle elements to break many patterns. | 
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| 459 | if (highly_unbalanced) { | 
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| 460 | // If we had too many bad partitions, switch to heapsort to guarantee O(n log n). | 
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| 461 | if (--bad_allowed == 0) { | 
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| 462 | std::make_heap(begin, end, comp); | 
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| 463 | std::sort_heap(begin, end, comp); | 
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| 464 | return; | 
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| 465 | } | 
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| 466 |  | 
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| 467 | if (l_size >= insertion_sort_threshold) { | 
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| 468 | std::iter_swap(begin,             begin + l_size / 4); | 
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| 469 | std::iter_swap(pivot_pos - 1, pivot_pos - l_size / 4); | 
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| 470 |  | 
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| 471 | if (l_size > ninther_threshold) { | 
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| 472 | std::iter_swap(begin + 1,         begin + (l_size / 4 + 1)); | 
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| 473 | std::iter_swap(begin + 2,         begin + (l_size / 4 + 2)); | 
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| 474 | std::iter_swap(pivot_pos - 2, pivot_pos - (l_size / 4 + 1)); | 
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| 475 | std::iter_swap(pivot_pos - 3, pivot_pos - (l_size / 4 + 2)); | 
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| 476 | } | 
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| 477 | } | 
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| 478 |  | 
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| 479 | if (r_size >= insertion_sort_threshold) { | 
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| 480 | std::iter_swap(pivot_pos + 1, pivot_pos + (1 + r_size / 4)); | 
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| 481 | std::iter_swap(end - 1,                   end - r_size / 4); | 
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| 482 |  | 
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| 483 | if (r_size > ninther_threshold) { | 
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| 484 | std::iter_swap(pivot_pos + 2, pivot_pos + (2 + r_size / 4)); | 
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| 485 | std::iter_swap(pivot_pos + 3, pivot_pos + (3 + r_size / 4)); | 
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| 486 | std::iter_swap(end - 2,             end - (1 + r_size / 4)); | 
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| 487 | std::iter_swap(end - 3,             end - (2 + r_size / 4)); | 
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| 488 | } | 
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| 489 | } | 
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| 490 | } else { | 
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| 491 | // If we were decently balanced and we tried to sort an already partitioned | 
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| 492 | // sequence try to use insertion sort. | 
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| 493 | if (already_partitioned && partial_insertion_sort(begin, pivot_pos, comp) | 
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| 494 | && partial_insertion_sort(pivot_pos + 1, end, comp)) return; | 
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| 495 | } | 
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| 496 |  | 
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| 497 | // Sort the left partition first using recursion and do tail recursion elimination for | 
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| 498 | // the right-hand partition. | 
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| 499 | pdqsort_loop<Iter, Compare, Branchless>(begin, pivot_pos, comp, bad_allowed, leftmost); | 
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| 500 | begin = pivot_pos + 1; | 
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| 501 | leftmost = false; | 
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| 502 | } | 
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| 503 | } | 
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| 504 | } | 
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| 505 |  | 
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| 506 |  | 
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| 507 | template<class Iter, class Compare> | 
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| 508 | inline void pdqsort(Iter begin, Iter end, Compare comp) { | 
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| 509 | if (begin == end) return; | 
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| 510 |  | 
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| 511 | #if __cplusplus >= 201103L | 
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| 512 | pdqsort_detail::pdqsort_loop<Iter, Compare, | 
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| 513 | pdqsort_detail::is_default_compare<typename std::decay<Compare>::type>::value && | 
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| 514 | std::is_arithmetic<typename std::iterator_traits<Iter>::value_type>::value>( | 
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| 515 | begin, end, comp, pdqsort_detail::log2(end - begin)); | 
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| 516 | #else | 
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| 517 | pdqsort_detail::pdqsort_loop<Iter, Compare, false>( | 
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| 518 | begin, end, comp, pdqsort_detail::log2(end - begin)); | 
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| 519 | #endif | 
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| 520 | } | 
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| 521 |  | 
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| 522 | template<class Iter> | 
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| 523 | inline void pdqsort(Iter begin, Iter end) { | 
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| 524 | typedef typename std::iterator_traits<Iter>::value_type T; | 
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| 525 | pdqsort(begin, end, std::less<T>()); | 
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| 526 | } | 
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| 527 |  | 
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| 528 | template<class Iter, class Compare> | 
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| 529 | inline void pdqsort_branchless(Iter begin, Iter end, Compare comp) { | 
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| 530 | if (begin == end) return; | 
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| 531 | pdqsort_detail::pdqsort_loop<Iter, Compare, true>( | 
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| 532 | begin, end, comp, pdqsort_detail::log2(end - begin)); | 
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| 533 | } | 
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| 534 |  | 
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| 535 | template<class Iter> | 
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| 536 | inline void pdqsort_branchless(Iter begin, Iter end) { | 
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| 537 | typedef typename std::iterator_traits<Iter>::value_type T; | 
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| 538 | pdqsort_branchless(begin, end, std::less<T>()); | 
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| 539 | } | 
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| 540 |  | 
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| 541 |  | 
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| 542 | #undef PDQSORT_PREFER_MOVE | 
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| 543 |  | 
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| 544 | #endif | 
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| 545 |  | 
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