1 2 /* 3 This file contains routines for sorting integers. Values are sorted in place. 4 One can use src/sys/tests/ex52.c for benchmarking. 5 */ 6 #include <petsc/private/petscimpl.h> /*I "petscsys.h" I*/ 7 #include <petsc/private/hashseti.h> 8 9 #define MEDIAN3(v, a, b, c) (v[a] < v[b] ? (v[b] < v[c] ? (b) : (v[a] < v[c] ? (c) : (a))) : (v[c] < v[b] ? (b) : (v[a] < v[c] ? (a) : (c)))) 10 11 #define MEDIAN(v, right) MEDIAN3(v, right / 4, right / 2, right / 4 * 3) 12 13 /* Swap one, two or three pairs. Each pair can have its own type */ 14 #define SWAP1(a, b, t1) \ 15 do { \ 16 t1 = a; \ 17 a = b; \ 18 b = t1; \ 19 } while (0) 20 #define SWAP2(a, b, c, d, t1, t2) \ 21 do { \ 22 t1 = a; \ 23 a = b; \ 24 b = t1; \ 25 t2 = c; \ 26 c = d; \ 27 d = t2; \ 28 } while (0) 29 #define SWAP3(a, b, c, d, e, f, t1, t2, t3) \ 30 do { \ 31 t1 = a; \ 32 a = b; \ 33 b = t1; \ 34 t2 = c; \ 35 c = d; \ 36 d = t2; \ 37 t3 = e; \ 38 e = f; \ 39 f = t3; \ 40 } while (0) 41 42 /* Swap a & b, *c & *d. c, d, t2 are pointers to a type of size <siz> */ 43 #define SWAP2Data(a, b, c, d, t1, t2, siz) \ 44 do { \ 45 t1 = a; \ 46 a = b; \ 47 b = t1; \ 48 PetscCall(PetscMemcpy(t2, c, siz)); \ 49 PetscCall(PetscMemcpy(c, d, siz)); \ 50 PetscCall(PetscMemcpy(d, t2, siz)); \ 51 } while (0) 52 53 /* 54 Partition X[lo,hi] into two parts: X[lo,l) <= pivot; X[r,hi] > pivot 55 56 Input Parameters: 57 + X - array to partition 58 . pivot - a pivot of X[] 59 . t1 - temp variable for X 60 - lo,hi - lower and upper bound of the array 61 62 Output Parameters: 63 + l,r - of type PetscInt 64 65 Notes: 66 The TwoWayPartition2/3 variants also partition other arrays along with X. 67 These arrays can have different types, so they provide their own temp t2,t3 68 */ 69 #define TwoWayPartition1(X, pivot, t1, lo, hi, l, r) \ 70 do { \ 71 l = lo; \ 72 r = hi; \ 73 while (1) { \ 74 while (X[l] < pivot) l++; \ 75 while (X[r] > pivot) r--; \ 76 if (l >= r) { \ 77 r++; \ 78 break; \ 79 } \ 80 SWAP1(X[l], X[r], t1); \ 81 l++; \ 82 r--; \ 83 } \ 84 } while (0) 85 86 /* 87 Partition X[lo,hi] into two parts: X[lo,l) >= pivot; X[r,hi] < pivot 88 89 Input Parameters: 90 + X - array to partition 91 . pivot - a pivot of X[] 92 . t1 - temp variable for X 93 - lo,hi - lower and upper bound of the array 94 95 Output Parameters: 96 + l,r - of type PetscInt 97 98 Notes: 99 The TwoWayPartition2/3 variants also partition other arrays along with X. 100 These arrays can have different types, so they provide their own temp t2,t3 101 */ 102 #define TwoWayPartitionReverse1(X, pivot, t1, lo, hi, l, r) \ 103 do { \ 104 l = lo; \ 105 r = hi; \ 106 while (1) { \ 107 while (X[l] > pivot) l++; \ 108 while (X[r] < pivot) r--; \ 109 if (l >= r) { \ 110 r++; \ 111 break; \ 112 } \ 113 SWAP1(X[l], X[r], t1); \ 114 l++; \ 115 r--; \ 116 } \ 117 } while (0) 118 119 #define TwoWayPartition2(X, Y, pivot, t1, t2, lo, hi, l, r) \ 120 do { \ 121 l = lo; \ 122 r = hi; \ 123 while (1) { \ 124 while (X[l] < pivot) l++; \ 125 while (X[r] > pivot) r--; \ 126 if (l >= r) { \ 127 r++; \ 128 break; \ 129 } \ 130 SWAP2(X[l], X[r], Y[l], Y[r], t1, t2); \ 131 l++; \ 132 r--; \ 133 } \ 134 } while (0) 135 136 #define TwoWayPartition3(X, Y, Z, pivot, t1, t2, t3, lo, hi, l, r) \ 137 do { \ 138 l = lo; \ 139 r = hi; \ 140 while (1) { \ 141 while (X[l] < pivot) l++; \ 142 while (X[r] > pivot) r--; \ 143 if (l >= r) { \ 144 r++; \ 145 break; \ 146 } \ 147 SWAP3(X[l], X[r], Y[l], Y[r], Z[l], Z[r], t1, t2, t3); \ 148 l++; \ 149 r--; \ 150 } \ 151 } while (0) 152 153 /* Templates for similar functions used below */ 154 #define QuickSort1(FuncName, X, n, pivot, t1) \ 155 do { \ 156 PetscCount i, j, p, l, r, hi = n - 1; \ 157 if (n < 8) { \ 158 for (i = 0; i < n; i++) { \ 159 pivot = X[i]; \ 160 for (j = i + 1; j < n; j++) { \ 161 if (pivot > X[j]) { \ 162 SWAP1(X[i], X[j], t1); \ 163 pivot = X[i]; \ 164 } \ 165 } \ 166 } \ 167 } else { \ 168 p = MEDIAN(X, hi); \ 169 pivot = X[p]; \ 170 TwoWayPartition1(X, pivot, t1, 0, hi, l, r); \ 171 PetscCall(FuncName(l, X)); \ 172 PetscCall(FuncName(hi - r + 1, X + r)); \ 173 } \ 174 } while (0) 175 176 /* Templates for similar functions used below */ 177 #define QuickSortReverse1(FuncName, X, n, pivot, t1) \ 178 do { \ 179 PetscCount i, j, p, l, r, hi = n - 1; \ 180 if (n < 8) { \ 181 for (i = 0; i < n; i++) { \ 182 pivot = X[i]; \ 183 for (j = i + 1; j < n; j++) { \ 184 if (pivot < X[j]) { \ 185 SWAP1(X[i], X[j], t1); \ 186 pivot = X[i]; \ 187 } \ 188 } \ 189 } \ 190 } else { \ 191 p = MEDIAN(X, hi); \ 192 pivot = X[p]; \ 193 TwoWayPartitionReverse1(X, pivot, t1, 0, hi, l, r); \ 194 PetscCall(FuncName(l, X)); \ 195 PetscCall(FuncName(hi - r + 1, X + r)); \ 196 } \ 197 } while (0) 198 199 #define QuickSort2(FuncName, X, Y, n, pivot, t1, t2) \ 200 do { \ 201 PetscCount i, j, p, l, r, hi = n - 1; \ 202 if (n < 8) { \ 203 for (i = 0; i < n; i++) { \ 204 pivot = X[i]; \ 205 for (j = i + 1; j < n; j++) { \ 206 if (pivot > X[j]) { \ 207 SWAP2(X[i], X[j], Y[i], Y[j], t1, t2); \ 208 pivot = X[i]; \ 209 } \ 210 } \ 211 } \ 212 } else { \ 213 p = MEDIAN(X, hi); \ 214 pivot = X[p]; \ 215 TwoWayPartition2(X, Y, pivot, t1, t2, 0, hi, l, r); \ 216 PetscCall(FuncName(l, X, Y)); \ 217 PetscCall(FuncName(hi - r + 1, X + r, Y + r)); \ 218 } \ 219 } while (0) 220 221 #define QuickSort3(FuncName, X, Y, Z, n, pivot, t1, t2, t3) \ 222 do { \ 223 PetscCount i, j, p, l, r, hi = n - 1; \ 224 if (n < 8) { \ 225 for (i = 0; i < n; i++) { \ 226 pivot = X[i]; \ 227 for (j = i + 1; j < n; j++) { \ 228 if (pivot > X[j]) { \ 229 SWAP3(X[i], X[j], Y[i], Y[j], Z[i], Z[j], t1, t2, t3); \ 230 pivot = X[i]; \ 231 } \ 232 } \ 233 } \ 234 } else { \ 235 p = MEDIAN(X, hi); \ 236 pivot = X[p]; \ 237 TwoWayPartition3(X, Y, Z, pivot, t1, t2, t3, 0, hi, l, r); \ 238 PetscCall(FuncName(l, X, Y, Z)); \ 239 PetscCall(FuncName(hi - r + 1, X + r, Y + r, Z + r)); \ 240 } \ 241 } while (0) 242 243 /*@ 244 PetscSortedInt - Determines whether the array is sorted. 245 246 Not Collective 247 248 Input Parameters: 249 + n - number of values 250 - X - array of integers 251 252 Output Parameters: 253 . sorted - flag whether the array is sorted 254 255 Level: intermediate 256 257 .seealso: `PetscSortInt()`, `PetscSortedMPIInt()`, `PetscSortedReal()` 258 @*/ 259 PetscErrorCode PetscSortedInt(PetscInt n, const PetscInt X[], PetscBool *sorted) { 260 PetscFunctionBegin; 261 if (n) PetscValidIntPointer(X, 2); 262 PetscValidBoolPointer(sorted, 3); 263 PetscSorted(n, X, *sorted); 264 PetscFunctionReturn(0); 265 } 266 267 /*@ 268 PetscSortInt - Sorts an array of integers in place in increasing order. 269 270 Not Collective 271 272 Input Parameters: 273 + n - number of values 274 - X - array of integers 275 276 Notes: 277 This function serves as an alternative to PetscIntSortSemiOrdered(), and may perform faster especially if the array 278 is completely random. There are exceptions to this and so it is __highly__ recommended that the user benchmark their 279 code to see which routine is fastest. 280 281 Level: intermediate 282 283 .seealso: `PetscIntSortSemiOrdered()`, `PetscSortReal()`, `PetscSortIntWithPermutation()` 284 @*/ 285 PetscErrorCode PetscSortInt(PetscInt n, PetscInt X[]) { 286 PetscInt pivot, t1; 287 288 PetscFunctionBegin; 289 if (n) PetscValidIntPointer(X, 2); 290 QuickSort1(PetscSortInt, X, n, pivot, t1); 291 PetscFunctionReturn(0); 292 } 293 294 /*@ 295 PetscSortReverseInt - Sorts an array of integers in place in decreasing order. 296 297 Not Collective 298 299 Input Parameters: 300 + n - number of values 301 - X - array of integers 302 303 Level: intermediate 304 305 .seealso: `PetscIntSortSemiOrdered()`, `PetscSortInt()`, `PetscSortIntWithPermutation()` 306 @*/ 307 PetscErrorCode PetscSortReverseInt(PetscInt n, PetscInt X[]) { 308 PetscInt pivot, t1; 309 310 PetscFunctionBegin; 311 if (n) PetscValidIntPointer(X, 2); 312 QuickSortReverse1(PetscSortReverseInt, X, n, pivot, t1); 313 PetscFunctionReturn(0); 314 } 315 316 /*@ 317 PetscSortedRemoveDupsInt - Removes all duplicate entries of a sorted input array 318 319 Not Collective 320 321 Input Parameters: 322 + n - number of values 323 - X - sorted array of integers 324 325 Output Parameter: 326 . n - number of non-redundant values 327 328 Level: intermediate 329 330 .seealso: `PetscSortInt()` 331 @*/ 332 PetscErrorCode PetscSortedRemoveDupsInt(PetscInt *n, PetscInt X[]) { 333 PetscInt i, s = 0, N = *n, b = 0; 334 335 PetscFunctionBegin; 336 PetscValidIntPointer(n, 1); 337 PetscCheckSorted(*n, X); 338 for (i = 0; i < N - 1; i++) { 339 if (X[b + s + 1] != X[b]) { 340 X[b + 1] = X[b + s + 1]; 341 b++; 342 } else s++; 343 } 344 *n = N - s; 345 PetscFunctionReturn(0); 346 } 347 348 /*@ 349 PetscSortedCheckDupsInt - Checks if a sorted integer array has duplicates 350 351 Not Collective 352 353 Input Parameters: 354 + n - number of values 355 - X - sorted array of integers 356 357 Output Parameter: 358 . dups - True if the array has dups, otherwise false 359 360 Level: intermediate 361 362 .seealso: `PetscSortInt()`, `PetscCheckDupsInt()`, `PetscSortRemoveDupsInt()`, `PetscSortedRemoveDupsInt()` 363 @*/ 364 PetscErrorCode PetscSortedCheckDupsInt(PetscInt n, const PetscInt X[], PetscBool *flg) { 365 PetscInt i; 366 367 PetscFunctionBegin; 368 PetscCheckSorted(n, X); 369 *flg = PETSC_FALSE; 370 for (i = 0; i < n - 1; i++) { 371 if (X[i + 1] == X[i]) { 372 *flg = PETSC_TRUE; 373 break; 374 } 375 } 376 PetscFunctionReturn(0); 377 } 378 379 /*@ 380 PetscSortRemoveDupsInt - Sorts an array of integers in place in increasing order removes all duplicate entries 381 382 Not Collective 383 384 Input Parameters: 385 + n - number of values 386 - X - array of integers 387 388 Output Parameter: 389 . n - number of non-redundant values 390 391 Level: intermediate 392 393 .seealso: `PetscIntSortSemiOrdered()`, `PetscSortReal()`, `PetscSortIntWithPermutation()`, `PetscSortInt()`, `PetscSortedRemoveDupsInt()` 394 @*/ 395 PetscErrorCode PetscSortRemoveDupsInt(PetscInt *n, PetscInt X[]) { 396 PetscFunctionBegin; 397 PetscValidIntPointer(n, 1); 398 PetscCall(PetscSortInt(*n, X)); 399 PetscCall(PetscSortedRemoveDupsInt(n, X)); 400 PetscFunctionReturn(0); 401 } 402 403 /*@ 404 PetscFindInt - Finds integer in a sorted array of integers 405 406 Not Collective 407 408 Input Parameters: 409 + key - the integer to locate 410 . n - number of values in the array 411 - X - array of integers 412 413 Output Parameter: 414 . loc - the location if found, otherwise -(slot+1) where slot is the place the value would go 415 416 Level: intermediate 417 418 .seealso: `PetscIntSortSemiOrdered()`, `PetscSortInt()`, `PetscSortIntWithArray()`, `PetscSortRemoveDupsInt()` 419 @*/ 420 PetscErrorCode PetscFindInt(PetscInt key, PetscInt n, const PetscInt X[], PetscInt *loc) { 421 PetscInt lo = 0, hi = n; 422 423 PetscFunctionBegin; 424 PetscValidIntPointer(loc, 4); 425 if (!n) { 426 *loc = -1; 427 PetscFunctionReturn(0); 428 } 429 PetscValidIntPointer(X, 3); 430 PetscCheckSorted(n, X); 431 while (hi - lo > 1) { 432 PetscInt mid = lo + (hi - lo) / 2; 433 if (key < X[mid]) hi = mid; 434 else lo = mid; 435 } 436 *loc = key == X[lo] ? lo : -(lo + (key > X[lo]) + 1); 437 PetscFunctionReturn(0); 438 } 439 440 /*@ 441 PetscCheckDupsInt - Checks if an integer array has duplicates 442 443 Not Collective 444 445 Input Parameters: 446 + n - number of values in the array 447 - X - array of integers 448 449 Output Parameter: 450 . dups - True if the array has dups, otherwise false 451 452 Level: intermediate 453 454 .seealso: `PetscSortRemoveDupsInt()`, `PetscSortedCheckDupsInt()` 455 @*/ 456 PetscErrorCode PetscCheckDupsInt(PetscInt n, const PetscInt X[], PetscBool *dups) { 457 PetscInt i; 458 PetscHSetI ht; 459 PetscBool missing; 460 461 PetscFunctionBegin; 462 if (n) PetscValidIntPointer(X, 2); 463 PetscValidBoolPointer(dups, 3); 464 *dups = PETSC_FALSE; 465 if (n > 1) { 466 PetscCall(PetscHSetICreate(&ht)); 467 PetscCall(PetscHSetIResize(ht, n)); 468 for (i = 0; i < n; i++) { 469 PetscCall(PetscHSetIQueryAdd(ht, X[i], &missing)); 470 if (!missing) { 471 *dups = PETSC_TRUE; 472 break; 473 } 474 } 475 PetscCall(PetscHSetIDestroy(&ht)); 476 } 477 PetscFunctionReturn(0); 478 } 479 480 /*@ 481 PetscFindMPIInt - Finds MPI integer in a sorted array of integers 482 483 Not Collective 484 485 Input Parameters: 486 + key - the integer to locate 487 . n - number of values in the array 488 - X - array of integers 489 490 Output Parameter: 491 . loc - the location if found, otherwise -(slot+1) where slot is the place the value would go 492 493 Level: intermediate 494 495 .seealso: `PetscMPIIntSortSemiOrdered()`, `PetscSortInt()`, `PetscSortIntWithArray()`, `PetscSortRemoveDupsInt()` 496 @*/ 497 PetscErrorCode PetscFindMPIInt(PetscMPIInt key, PetscInt n, const PetscMPIInt X[], PetscInt *loc) { 498 PetscInt lo = 0, hi = n; 499 500 PetscFunctionBegin; 501 PetscValidIntPointer(loc, 4); 502 if (!n) { 503 *loc = -1; 504 PetscFunctionReturn(0); 505 } 506 PetscValidIntPointer(X, 3); 507 PetscCheckSorted(n, X); 508 while (hi - lo > 1) { 509 PetscInt mid = lo + (hi - lo) / 2; 510 if (key < X[mid]) hi = mid; 511 else lo = mid; 512 } 513 *loc = key == X[lo] ? lo : -(lo + (key > X[lo]) + 1); 514 PetscFunctionReturn(0); 515 } 516 517 /*@ 518 PetscSortIntWithArray - Sorts an array of integers in place in increasing order; 519 changes a second array to match the sorted first array. 520 521 Not Collective 522 523 Input Parameters: 524 + n - number of values 525 . X - array of integers 526 - Y - second array of integers 527 528 Level: intermediate 529 530 .seealso: `PetscIntSortSemiOrderedWithArray()`, `PetscSortReal()`, `PetscSortIntWithPermutation()`, `PetscSortInt()`, `PetscSortIntWithCountArray()` 531 @*/ 532 PetscErrorCode PetscSortIntWithArray(PetscInt n, PetscInt X[], PetscInt Y[]) { 533 PetscInt pivot, t1, t2; 534 535 PetscFunctionBegin; 536 QuickSort2(PetscSortIntWithArray, X, Y, n, pivot, t1, t2); 537 PetscFunctionReturn(0); 538 } 539 540 /*@ 541 PetscSortIntWithArrayPair - Sorts an array of integers in place in increasing order; 542 changes a pair of integer arrays to match the sorted first array. 543 544 Not Collective 545 546 Input Parameters: 547 + n - number of values 548 . X - array of integers 549 . Y - second array of integers (first array of the pair) 550 - Z - third array of integers (second array of the pair) 551 552 Level: intermediate 553 554 .seealso: `PetscSortReal()`, `PetscSortIntWithPermutation()`, `PetscSortIntWithArray()`, `PetscIntSortSemiOrdered()`, `PetscSortIntWithIntCountArrayPair()` 555 @*/ 556 PetscErrorCode PetscSortIntWithArrayPair(PetscInt n, PetscInt X[], PetscInt Y[], PetscInt Z[]) { 557 PetscInt pivot, t1, t2, t3; 558 559 PetscFunctionBegin; 560 QuickSort3(PetscSortIntWithArrayPair, X, Y, Z, n, pivot, t1, t2, t3); 561 PetscFunctionReturn(0); 562 } 563 564 /*@ 565 PetscSortIntWithCountArray - Sorts an array of integers in place in increasing order; 566 changes a second array to match the sorted first array. 567 568 Not Collective 569 570 Input Parameters: 571 + n - number of values 572 . X - array of integers 573 - Y - second array of PetscCounts (signed integers) 574 575 Level: intermediate 576 577 .seealso: `PetscIntSortSemiOrderedWithArray()`, `PetscSortReal()`, `PetscSortIntPermutation()`, `PetscSortInt()`, `PetscSortIntWithArray()` 578 @*/ 579 PetscErrorCode PetscSortIntWithCountArray(PetscCount n, PetscInt X[], PetscCount Y[]) { 580 PetscInt pivot, t1; 581 PetscCount t2; 582 583 PetscFunctionBegin; 584 QuickSort2(PetscSortIntWithCountArray, X, Y, n, pivot, t1, t2); 585 PetscFunctionReturn(0); 586 } 587 588 /*@ 589 PetscSortIntWithIntCountArrayPair - Sorts an array of integers in place in increasing order; 590 changes an integer array and a PetscCount array to match the sorted first array. 591 592 Not Collective 593 594 Input Parameters: 595 + n - number of values 596 . X - array of integers 597 . Y - second array of integers (first array of the pair) 598 - Z - third array of PetscCounts (second array of the pair) 599 600 Level: intermediate 601 602 Notes: 603 Usually X, Y are matrix row/column indices, and Z is a permutation array and therefore Z's type is PetscCount to allow 2B+ nonzeros even with 32-bit PetscInt. 604 605 .seealso: `PetscSortReal()`, `PetscSortIntPermutation()`, `PetscSortIntWithArray()`, `PetscIntSortSemiOrdered()`, `PetscSortIntWithArrayPair()` 606 @*/ 607 PetscErrorCode PetscSortIntWithIntCountArrayPair(PetscCount n, PetscInt X[], PetscInt Y[], PetscCount Z[]) { 608 PetscInt pivot, t1, t2; /* pivot is take from X[], so its type is still PetscInt */ 609 PetscCount t3; /* temp for Z[] */ 610 611 PetscFunctionBegin; 612 QuickSort3(PetscSortIntWithIntCountArrayPair, X, Y, Z, n, pivot, t1, t2, t3); 613 PetscFunctionReturn(0); 614 } 615 616 /*@ 617 PetscSortedMPIInt - Determines whether the array is sorted. 618 619 Not Collective 620 621 Input Parameters: 622 + n - number of values 623 - X - array of integers 624 625 Output Parameters: 626 . sorted - flag whether the array is sorted 627 628 Level: intermediate 629 630 .seealso: `PetscMPIIntSortSemiOrdered()`, `PetscSortMPIInt()`, `PetscSortedInt()`, `PetscSortedReal()` 631 @*/ 632 PetscErrorCode PetscSortedMPIInt(PetscInt n, const PetscMPIInt X[], PetscBool *sorted) { 633 PetscFunctionBegin; 634 PetscSorted(n, X, *sorted); 635 PetscFunctionReturn(0); 636 } 637 638 /*@ 639 PetscSortMPIInt - Sorts an array of MPI integers in place in increasing order. 640 641 Not Collective 642 643 Input Parameters: 644 + n - number of values 645 - X - array of integers 646 647 Level: intermediate 648 649 Notes: 650 This function serves as an alternative to PetscMPIIntSortSemiOrdered(), and may perform faster especially if the array 651 is completely random. There are exceptions to this and so it is __highly__ recommended that the user benchmark their 652 code to see which routine is fastest. 653 654 .seealso: `PetscMPIIntSortSemiOrdered()`, `PetscSortReal()`, `PetscSortIntWithPermutation()` 655 @*/ 656 PetscErrorCode PetscSortMPIInt(PetscInt n, PetscMPIInt X[]) { 657 PetscMPIInt pivot, t1; 658 659 PetscFunctionBegin; 660 QuickSort1(PetscSortMPIInt, X, n, pivot, t1); 661 PetscFunctionReturn(0); 662 } 663 664 /*@ 665 PetscSortRemoveDupsMPIInt - Sorts an array of MPI integers in place in increasing order removes all duplicate entries 666 667 Not Collective 668 669 Input Parameters: 670 + n - number of values 671 - X - array of integers 672 673 Output Parameter: 674 . n - number of non-redundant values 675 676 Level: intermediate 677 678 .seealso: `PetscSortReal()`, `PetscSortIntWithPermutation()`, `PetscSortInt()` 679 @*/ 680 PetscErrorCode PetscSortRemoveDupsMPIInt(PetscInt *n, PetscMPIInt X[]) { 681 PetscInt s = 0, N = *n, b = 0; 682 683 PetscFunctionBegin; 684 PetscCall(PetscSortMPIInt(N, X)); 685 for (PetscInt i = 0; i < N - 1; i++) { 686 if (X[b + s + 1] != X[b]) { 687 X[b + 1] = X[b + s + 1]; 688 b++; 689 } else s++; 690 } 691 *n = N - s; 692 PetscFunctionReturn(0); 693 } 694 695 /*@ 696 PetscSortMPIIntWithArray - Sorts an array of integers in place in increasing order; 697 changes a second array to match the sorted first array. 698 699 Not Collective 700 701 Input Parameters: 702 + n - number of values 703 . X - array of integers 704 - Y - second array of integers 705 706 Level: intermediate 707 708 .seealso: `PetscMPIIntSortSemiOrderedWithArray()`, `PetscSortReal()`, `PetscSortIntWithPermutation()`, `PetscSortInt()` 709 @*/ 710 PetscErrorCode PetscSortMPIIntWithArray(PetscMPIInt n, PetscMPIInt X[], PetscMPIInt Y[]) { 711 PetscMPIInt pivot, t1, t2; 712 713 PetscFunctionBegin; 714 QuickSort2(PetscSortMPIIntWithArray, X, Y, n, pivot, t1, t2); 715 PetscFunctionReturn(0); 716 } 717 718 /*@ 719 PetscSortMPIIntWithIntArray - Sorts an array of MPI integers in place in increasing order; 720 changes a second array of Petsc intergers to match the sorted first array. 721 722 Not Collective 723 724 Input Parameters: 725 + n - number of values 726 . X - array of MPI integers 727 - Y - second array of Petsc integers 728 729 Level: intermediate 730 731 Notes: this routine is useful when one needs to sort MPI ranks with other integer arrays. 732 733 .seealso: `PetscSortMPIIntWithArray()`, `PetscIntSortSemiOrderedWithArray()`, `PetscTimSortWithArray()` 734 @*/ 735 PetscErrorCode PetscSortMPIIntWithIntArray(PetscMPIInt n, PetscMPIInt X[], PetscInt Y[]) { 736 PetscMPIInt pivot, t1; 737 PetscInt t2; 738 739 PetscFunctionBegin; 740 QuickSort2(PetscSortMPIIntWithIntArray, X, Y, n, pivot, t1, t2); 741 PetscFunctionReturn(0); 742 } 743 744 /*@ 745 PetscSortIntWithScalarArray - Sorts an array of integers in place in increasing order; 746 changes a second SCALAR array to match the sorted first INTEGER array. 747 748 Not Collective 749 750 Input Parameters: 751 + n - number of values 752 . X - array of integers 753 - Y - second array of scalars 754 755 Level: intermediate 756 757 .seealso: `PetscTimSortWithArray()`, `PetscSortReal()`, `PetscSortIntWithPermutation()`, `PetscSortInt()`, `PetscSortIntWithArray()` 758 @*/ 759 PetscErrorCode PetscSortIntWithScalarArray(PetscInt n, PetscInt X[], PetscScalar Y[]) { 760 PetscInt pivot, t1; 761 PetscScalar t2; 762 763 PetscFunctionBegin; 764 QuickSort2(PetscSortIntWithScalarArray, X, Y, n, pivot, t1, t2); 765 PetscFunctionReturn(0); 766 } 767 768 /*@C 769 PetscSortIntWithDataArray - Sorts an array of integers in place in increasing order; 770 changes a second array to match the sorted first INTEGER array. Unlike other sort routines, the user must 771 provide workspace (the size of an element in the data array) to use when sorting. 772 773 Not Collective 774 775 Input Parameters: 776 + n - number of values 777 . X - array of integers 778 . Y - second array of data 779 . size - sizeof elements in the data array in bytes 780 - t2 - workspace of "size" bytes used when sorting 781 782 Level: intermediate 783 784 .seealso: `PetscTimSortWithArray()`, `PetscSortReal()`, `PetscSortIntWithPermutation()`, `PetscSortInt()`, `PetscSortIntWithArray()` 785 @*/ 786 PetscErrorCode PetscSortIntWithDataArray(PetscInt n, PetscInt X[], void *Y, size_t size, void *t2) { 787 char *YY = (char *)Y; 788 PetscInt t1, pivot, hi = n - 1; 789 790 PetscFunctionBegin; 791 if (n < 8) { 792 for (PetscInt i = 0; i < n; i++) { 793 pivot = X[i]; 794 for (PetscInt j = i + 1; j < n; j++) { 795 if (pivot > X[j]) { 796 SWAP2Data(X[i], X[j], YY + size * i, YY + size * j, t1, t2, size); 797 pivot = X[i]; 798 } 799 } 800 } 801 } else { 802 /* Two way partition */ 803 PetscInt l = 0, r = hi; 804 805 pivot = X[MEDIAN(X, hi)]; 806 while (1) { 807 while (X[l] < pivot) l++; 808 while (X[r] > pivot) r--; 809 if (l >= r) { 810 r++; 811 break; 812 } 813 SWAP2Data(X[l], X[r], YY + size * l, YY + size * r, t1, t2, size); 814 l++; 815 r--; 816 } 817 PetscCall(PetscSortIntWithDataArray(l, X, Y, size, t2)); 818 PetscCall(PetscSortIntWithDataArray(hi - r + 1, X + r, YY + size * r, size, t2)); 819 } 820 PetscFunctionReturn(0); 821 } 822 823 /*@ 824 PetscMergeIntArray - Merges two SORTED integer arrays, removes duplicate elements. 825 826 Not Collective 827 828 Input Parameters: 829 + an - number of values in the first array 830 . aI - first sorted array of integers 831 . bn - number of values in the second array 832 - bI - second array of integers 833 834 Output Parameters: 835 + n - number of values in the merged array 836 - L - merged sorted array, this is allocated if an array is not provided 837 838 Level: intermediate 839 840 .seealso: `PetscSortReal()`, `PetscSortIntWithPermutation()`, `PetscSortInt()`, `PetscSortIntWithArray()` 841 @*/ 842 PetscErrorCode PetscMergeIntArray(PetscInt an, const PetscInt aI[], PetscInt bn, const PetscInt bI[], PetscInt *n, PetscInt **L) { 843 PetscInt *L_ = *L, ak, bk, k; 844 845 PetscFunctionBegin; 846 if (!L_) { 847 PetscCall(PetscMalloc1(an + bn, L)); 848 L_ = *L; 849 } 850 k = ak = bk = 0; 851 while (ak < an && bk < bn) { 852 if (aI[ak] == bI[bk]) { 853 L_[k] = aI[ak]; 854 ++ak; 855 ++bk; 856 ++k; 857 } else if (aI[ak] < bI[bk]) { 858 L_[k] = aI[ak]; 859 ++ak; 860 ++k; 861 } else { 862 L_[k] = bI[bk]; 863 ++bk; 864 ++k; 865 } 866 } 867 if (ak < an) { 868 PetscCall(PetscArraycpy(L_ + k, aI + ak, an - ak)); 869 k += (an - ak); 870 } 871 if (bk < bn) { 872 PetscCall(PetscArraycpy(L_ + k, bI + bk, bn - bk)); 873 k += (bn - bk); 874 } 875 *n = k; 876 PetscFunctionReturn(0); 877 } 878 879 /*@ 880 PetscMergeIntArrayPair - Merges two SORTED integer arrays that share NO common values along with an additional array of integers. 881 The additional arrays are the same length as sorted arrays and are merged 882 in the order determined by the merging of the sorted pair. 883 884 Not Collective 885 886 Input Parameters: 887 + an - number of values in the first array 888 . aI - first sorted array of integers 889 . aJ - first additional array of integers 890 . bn - number of values in the second array 891 . bI - second array of integers 892 - bJ - second additional of integers 893 894 Output Parameters: 895 + n - number of values in the merged array (== an + bn) 896 . L - merged sorted array 897 - J - merged additional array 898 899 Notes: 900 if L or J point to non-null arrays then this routine will assume they are of the approproate size and use them, otherwise this routine will allocate space for them 901 Level: intermediate 902 903 .seealso: `PetscIntSortSemiOrdered()`, `PetscSortReal()`, `PetscSortIntWithPermutation()`, `PetscSortInt()`, `PetscSortIntWithArray()` 904 @*/ 905 PetscErrorCode PetscMergeIntArrayPair(PetscInt an, const PetscInt aI[], const PetscInt aJ[], PetscInt bn, const PetscInt bI[], const PetscInt bJ[], PetscInt *n, PetscInt **L, PetscInt **J) { 906 PetscInt n_, *L_, *J_, ak, bk, k; 907 908 PetscFunctionBegin; 909 PetscValidPointer(L, 8); 910 PetscValidPointer(J, 9); 911 n_ = an + bn; 912 *n = n_; 913 if (!*L) PetscCall(PetscMalloc1(n_, L)); 914 L_ = *L; 915 if (!*J) PetscCall(PetscMalloc1(n_, J)); 916 J_ = *J; 917 k = ak = bk = 0; 918 while (ak < an && bk < bn) { 919 if (aI[ak] <= bI[bk]) { 920 L_[k] = aI[ak]; 921 J_[k] = aJ[ak]; 922 ++ak; 923 ++k; 924 } else { 925 L_[k] = bI[bk]; 926 J_[k] = bJ[bk]; 927 ++bk; 928 ++k; 929 } 930 } 931 if (ak < an) { 932 PetscCall(PetscArraycpy(L_ + k, aI + ak, an - ak)); 933 PetscCall(PetscArraycpy(J_ + k, aJ + ak, an - ak)); 934 k += (an - ak); 935 } 936 if (bk < bn) { 937 PetscCall(PetscArraycpy(L_ + k, bI + bk, bn - bk)); 938 PetscCall(PetscArraycpy(J_ + k, bJ + bk, bn - bk)); 939 } 940 PetscFunctionReturn(0); 941 } 942 943 /*@ 944 PetscMergeMPIIntArray - Merges two SORTED integer arrays. 945 946 Not Collective 947 948 Input Parameters: 949 + an - number of values in the first array 950 . aI - first sorted array of integers 951 . bn - number of values in the second array 952 - bI - second array of integers 953 954 Output Parameters: 955 + n - number of values in the merged array (<= an + bn) 956 - L - merged sorted array, allocated if address of NULL pointer is passed 957 958 Level: intermediate 959 960 .seealso: `PetscIntSortSemiOrdered()`, `PetscSortReal()`, `PetscSortIntWithPermutation()`, `PetscSortInt()`, `PetscSortIntWithArray()` 961 @*/ 962 PetscErrorCode PetscMergeMPIIntArray(PetscInt an, const PetscMPIInt aI[], PetscInt bn, const PetscMPIInt bI[], PetscInt *n, PetscMPIInt **L) { 963 PetscInt ai, bi, k; 964 965 PetscFunctionBegin; 966 if (!*L) PetscCall(PetscMalloc1((an + bn), L)); 967 for (ai = 0, bi = 0, k = 0; ai < an || bi < bn;) { 968 PetscInt t = -1; 969 for (; ai < an && (!bn || aI[ai] <= bI[bi]); ai++) (*L)[k++] = t = aI[ai]; 970 for (; bi < bn && bI[bi] == t; bi++) 971 ; 972 for (; bi < bn && (!an || bI[bi] <= aI[ai]); bi++) (*L)[k++] = t = bI[bi]; 973 for (; ai < an && aI[ai] == t; ai++) 974 ; 975 } 976 *n = k; 977 PetscFunctionReturn(0); 978 } 979 980 /*@C 981 PetscProcessTree - Prepares tree data to be displayed graphically 982 983 Not Collective 984 985 Input Parameters: 986 + n - number of values 987 . mask - indicates those entries in the tree, location 0 is always masked 988 - parentid - indicates the parent of each entry 989 990 Output Parameters: 991 + Nlevels - the number of levels 992 . Level - for each node tells its level 993 . Levelcnts - the number of nodes on each level 994 . Idbylevel - a list of ids on each of the levels, first level followed by second etc 995 - Column - for each id tells its column index 996 997 Level: developer 998 999 Notes: 1000 This code is not currently used 1001 1002 .seealso: `PetscSortReal()`, `PetscSortIntWithPermutation()` 1003 @*/ 1004 PetscErrorCode PetscProcessTree(PetscInt n, const PetscBool mask[], const PetscInt parentid[], PetscInt *Nlevels, PetscInt **Level, PetscInt **Levelcnt, PetscInt **Idbylevel, PetscInt **Column) { 1005 PetscInt i, j, cnt, nmask = 0, nlevels = 0, *level, *levelcnt, levelmax = 0, *workid, *workparentid, tcnt = 0, *idbylevel, *column; 1006 PetscBool done = PETSC_FALSE; 1007 1008 PetscFunctionBegin; 1009 PetscCheck(mask[0], PETSC_COMM_SELF, PETSC_ERR_SUP, "Mask of 0th location must be set"); 1010 for (i = 0; i < n; i++) { 1011 if (mask[i]) continue; 1012 PetscCheck(parentid[i] != i, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Node labeled as own parent"); 1013 PetscCheck(!parentid[i] || !mask[parentid[i]], PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Parent is masked"); 1014 } 1015 1016 for (i = 0; i < n; i++) { 1017 if (!mask[i]) nmask++; 1018 } 1019 1020 /* determine the level in the tree of each node */ 1021 PetscCall(PetscCalloc1(n, &level)); 1022 1023 level[0] = 1; 1024 while (!done) { 1025 done = PETSC_TRUE; 1026 for (i = 0; i < n; i++) { 1027 if (mask[i]) continue; 1028 if (!level[i] && level[parentid[i]]) level[i] = level[parentid[i]] + 1; 1029 else if (!level[i]) done = PETSC_FALSE; 1030 } 1031 } 1032 for (i = 0; i < n; i++) { 1033 level[i]--; 1034 nlevels = PetscMax(nlevels, level[i]); 1035 } 1036 1037 /* count the number of nodes on each level and its max */ 1038 PetscCall(PetscCalloc1(nlevels, &levelcnt)); 1039 for (i = 0; i < n; i++) { 1040 if (mask[i]) continue; 1041 levelcnt[level[i] - 1]++; 1042 } 1043 for (i = 0; i < nlevels; i++) levelmax = PetscMax(levelmax, levelcnt[i]); 1044 1045 /* for each level sort the ids by the parent id */ 1046 PetscCall(PetscMalloc2(levelmax, &workid, levelmax, &workparentid)); 1047 PetscCall(PetscMalloc1(nmask, &idbylevel)); 1048 for (j = 1; j <= nlevels; j++) { 1049 cnt = 0; 1050 for (i = 0; i < n; i++) { 1051 if (mask[i]) continue; 1052 if (level[i] != j) continue; 1053 workid[cnt] = i; 1054 workparentid[cnt++] = parentid[i]; 1055 } 1056 /* PetscIntView(cnt,workparentid,0); 1057 PetscIntView(cnt,workid,0); 1058 PetscCall(PetscSortIntWithArray(cnt,workparentid,workid)); 1059 PetscIntView(cnt,workparentid,0); 1060 PetscIntView(cnt,workid,0);*/ 1061 PetscCall(PetscArraycpy(idbylevel + tcnt, workid, cnt)); 1062 tcnt += cnt; 1063 } 1064 PetscCheck(tcnt == nmask, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Inconsistent count of unmasked nodes"); 1065 PetscCall(PetscFree2(workid, workparentid)); 1066 1067 /* for each node list its column */ 1068 PetscCall(PetscMalloc1(n, &column)); 1069 cnt = 0; 1070 for (j = 0; j < nlevels; j++) { 1071 for (i = 0; i < levelcnt[j]; i++) column[idbylevel[cnt++]] = i; 1072 } 1073 1074 *Nlevels = nlevels; 1075 *Level = level; 1076 *Levelcnt = levelcnt; 1077 *Idbylevel = idbylevel; 1078 *Column = column; 1079 PetscFunctionReturn(0); 1080 } 1081 1082 /*@ 1083 PetscParallelSortedInt - Check whether an integer array, distributed over a communicator, is globally sorted. 1084 1085 Collective 1086 1087 Input Parameters: 1088 + comm - the MPI communicator 1089 . n - the local number of integers 1090 - keys - the local array of integers 1091 1092 Output Parameters: 1093 . is_sorted - whether the array is globally sorted 1094 1095 Level: developer 1096 1097 .seealso: `PetscParallelSortInt()` 1098 @*/ 1099 PetscErrorCode PetscParallelSortedInt(MPI_Comm comm, PetscInt n, const PetscInt keys[], PetscBool *is_sorted) { 1100 PetscBool sorted; 1101 PetscInt i, min, max, prevmax; 1102 PetscMPIInt rank; 1103 1104 PetscFunctionBegin; 1105 sorted = PETSC_TRUE; 1106 min = PETSC_MAX_INT; 1107 max = PETSC_MIN_INT; 1108 if (n) { 1109 min = keys[0]; 1110 max = keys[0]; 1111 } 1112 for (i = 1; i < n; i++) { 1113 if (keys[i] < keys[i - 1]) break; 1114 min = PetscMin(min, keys[i]); 1115 max = PetscMax(max, keys[i]); 1116 } 1117 if (i < n) sorted = PETSC_FALSE; 1118 prevmax = PETSC_MIN_INT; 1119 PetscCallMPI(MPI_Exscan(&max, &prevmax, 1, MPIU_INT, MPI_MAX, comm)); 1120 PetscCallMPI(MPI_Comm_rank(comm, &rank)); 1121 if (rank == 0) prevmax = PETSC_MIN_INT; 1122 if (prevmax > min) sorted = PETSC_FALSE; 1123 PetscCallMPI(MPI_Allreduce(&sorted, is_sorted, 1, MPIU_BOOL, MPI_LAND, comm)); 1124 PetscFunctionReturn(0); 1125 } 1126