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