| 1 | /* |
| 2 | * Copyright 2008-2009 Katholieke Universiteit Leuven |
| 3 | * Copyright 2010 INRIA Saclay |
| 4 | * Copyright 2014 Ecole Normale Superieure |
| 5 | * Copyright 2017 Sven Verdoolaege |
| 6 | * |
| 7 | * Use of this software is governed by the MIT license |
| 8 | * |
| 9 | * Written by Sven Verdoolaege, K.U.Leuven, Departement |
| 10 | * Computerwetenschappen, Celestijnenlaan 200A, B-3001 Leuven, Belgium |
| 11 | * and INRIA Saclay - Ile-de-France, Parc Club Orsay Universite, |
| 12 | * ZAC des vignes, 4 rue Jacques Monod, 91893 Orsay, France |
| 13 | * and Ecole Normale Superieure, 45 rue d'Ulm, 75230 Paris, France |
| 14 | */ |
| 15 | |
| 16 | #include <isl_ctx_private.h> |
| 17 | #include <isl_map_private.h> |
| 18 | #include <isl/space.h> |
| 19 | #include <isl_seq.h> |
| 20 | #include <isl_mat_private.h> |
| 21 | #include <isl_vec_private.h> |
| 22 | #include <isl_space_private.h> |
| 23 | #include <isl_val_private.h> |
| 24 | |
| 25 | isl_ctx *isl_mat_get_ctx(__isl_keep isl_mat *mat) |
| 26 | { |
| 27 | return mat ? mat->ctx : NULL; |
| 28 | } |
| 29 | |
| 30 | /* Return a hash value that digests "mat". |
| 31 | */ |
| 32 | uint32_t isl_mat_get_hash(__isl_keep isl_mat *mat) |
| 33 | { |
| 34 | int i; |
| 35 | uint32_t hash; |
| 36 | |
| 37 | if (!mat) |
| 38 | return 0; |
| 39 | |
| 40 | hash = isl_hash_init(); |
| 41 | isl_hash_byte(hash, mat->n_row & 0xFF); |
| 42 | isl_hash_byte(hash, mat->n_col & 0xFF); |
| 43 | for (i = 0; i < mat->n_row; ++i) { |
| 44 | uint32_t row_hash; |
| 45 | |
| 46 | row_hash = isl_seq_get_hash(p: mat->row[i], len: mat->n_col); |
| 47 | isl_hash_hash(hash, row_hash); |
| 48 | } |
| 49 | |
| 50 | return hash; |
| 51 | } |
| 52 | |
| 53 | __isl_give isl_mat *isl_mat_alloc(isl_ctx *ctx, |
| 54 | unsigned n_row, unsigned n_col) |
| 55 | { |
| 56 | int i; |
| 57 | struct isl_mat *mat; |
| 58 | |
| 59 | mat = isl_alloc_type(ctx, struct isl_mat); |
| 60 | if (!mat) |
| 61 | return NULL; |
| 62 | |
| 63 | mat->row = NULL; |
| 64 | mat->block = isl_blk_alloc(ctx, n: n_row * n_col); |
| 65 | if (isl_blk_is_error(block: mat->block)) |
| 66 | goto error; |
| 67 | mat->row = isl_calloc_array(ctx, isl_int *, n_row); |
| 68 | if (n_row && !mat->row) |
| 69 | goto error; |
| 70 | |
| 71 | if (n_col != 0) { |
| 72 | for (i = 0; i < n_row; ++i) |
| 73 | mat->row[i] = mat->block.data + i * n_col; |
| 74 | } |
| 75 | |
| 76 | mat->ctx = ctx; |
| 77 | isl_ctx_ref(ctx); |
| 78 | mat->ref = 1; |
| 79 | mat->n_row = n_row; |
| 80 | mat->n_col = n_col; |
| 81 | mat->max_col = n_col; |
| 82 | mat->flags = 0; |
| 83 | |
| 84 | return mat; |
| 85 | error: |
| 86 | isl_blk_free(ctx, block: mat->block); |
| 87 | free(ptr: mat); |
| 88 | return NULL; |
| 89 | } |
| 90 | |
| 91 | __isl_give isl_mat *isl_mat_extend(__isl_take isl_mat *mat, |
| 92 | unsigned n_row, unsigned n_col) |
| 93 | { |
| 94 | int i; |
| 95 | isl_int *old; |
| 96 | isl_int **row; |
| 97 | |
| 98 | if (!mat) |
| 99 | return NULL; |
| 100 | |
| 101 | if (mat->max_col >= n_col && mat->n_row >= n_row) { |
| 102 | if (mat->n_col < n_col) |
| 103 | mat->n_col = n_col; |
| 104 | return mat; |
| 105 | } |
| 106 | |
| 107 | if (mat->max_col < n_col) { |
| 108 | struct isl_mat *new_mat; |
| 109 | |
| 110 | if (n_row < mat->n_row) |
| 111 | n_row = mat->n_row; |
| 112 | new_mat = isl_mat_alloc(ctx: mat->ctx, n_row, n_col); |
| 113 | if (!new_mat) |
| 114 | goto error; |
| 115 | for (i = 0; i < mat->n_row; ++i) |
| 116 | isl_seq_cpy(dst: new_mat->row[i], src: mat->row[i], len: mat->n_col); |
| 117 | isl_mat_free(mat); |
| 118 | return new_mat; |
| 119 | } |
| 120 | |
| 121 | mat = isl_mat_cow(mat); |
| 122 | if (!mat) |
| 123 | goto error; |
| 124 | |
| 125 | old = mat->block.data; |
| 126 | mat->block = isl_blk_extend(ctx: mat->ctx, block: mat->block, new_n: n_row * mat->max_col); |
| 127 | if (isl_blk_is_error(block: mat->block)) |
| 128 | goto error; |
| 129 | row = isl_realloc_array(mat->ctx, mat->row, isl_int *, n_row); |
| 130 | if (n_row && !row) |
| 131 | goto error; |
| 132 | mat->row = row; |
| 133 | |
| 134 | for (i = 0; i < mat->n_row; ++i) |
| 135 | mat->row[i] = mat->block.data + (mat->row[i] - old); |
| 136 | for (i = mat->n_row; i < n_row; ++i) |
| 137 | mat->row[i] = mat->block.data + i * mat->max_col; |
| 138 | mat->n_row = n_row; |
| 139 | if (mat->n_col < n_col) |
| 140 | mat->n_col = n_col; |
| 141 | |
| 142 | return mat; |
| 143 | error: |
| 144 | isl_mat_free(mat); |
| 145 | return NULL; |
| 146 | } |
| 147 | |
| 148 | __isl_give isl_mat *isl_mat_sub_alloc6(isl_ctx *ctx, isl_int **row, |
| 149 | unsigned first_row, unsigned n_row, unsigned first_col, unsigned n_col) |
| 150 | { |
| 151 | int i; |
| 152 | struct isl_mat *mat; |
| 153 | |
| 154 | mat = isl_alloc_type(ctx, struct isl_mat); |
| 155 | if (!mat) |
| 156 | return NULL; |
| 157 | mat->row = isl_alloc_array(ctx, isl_int *, n_row); |
| 158 | if (n_row && !mat->row) |
| 159 | goto error; |
| 160 | for (i = 0; i < n_row; ++i) |
| 161 | mat->row[i] = row[first_row+i] + first_col; |
| 162 | mat->ctx = ctx; |
| 163 | isl_ctx_ref(ctx); |
| 164 | mat->ref = 1; |
| 165 | mat->n_row = n_row; |
| 166 | mat->n_col = n_col; |
| 167 | mat->block = isl_blk_empty(); |
| 168 | mat->flags = ISL_MAT_BORROWED; |
| 169 | return mat; |
| 170 | error: |
| 171 | free(ptr: mat); |
| 172 | return NULL; |
| 173 | } |
| 174 | |
| 175 | __isl_give isl_mat *isl_mat_sub_alloc(__isl_keep isl_mat *mat, |
| 176 | unsigned first_row, unsigned n_row, unsigned first_col, unsigned n_col) |
| 177 | { |
| 178 | if (!mat) |
| 179 | return NULL; |
| 180 | return isl_mat_sub_alloc6(ctx: mat->ctx, row: mat->row, first_row, n_row, |
| 181 | first_col, n_col); |
| 182 | } |
| 183 | |
| 184 | void isl_mat_sub_copy(struct isl_ctx *ctx, isl_int **dst, isl_int **src, |
| 185 | unsigned n_row, unsigned dst_col, unsigned src_col, unsigned n_col) |
| 186 | { |
| 187 | int i; |
| 188 | |
| 189 | for (i = 0; i < n_row; ++i) |
| 190 | isl_seq_cpy(dst: dst[i]+dst_col, src: src[i]+src_col, len: n_col); |
| 191 | } |
| 192 | |
| 193 | void isl_mat_sub_neg(struct isl_ctx *ctx, isl_int **dst, isl_int **src, |
| 194 | unsigned n_row, unsigned dst_col, unsigned src_col, unsigned n_col) |
| 195 | { |
| 196 | int i; |
| 197 | |
| 198 | for (i = 0; i < n_row; ++i) |
| 199 | isl_seq_neg(dst: dst[i]+dst_col, src: src[i]+src_col, len: n_col); |
| 200 | } |
| 201 | |
| 202 | __isl_give isl_mat *isl_mat_copy(__isl_keep isl_mat *mat) |
| 203 | { |
| 204 | if (!mat) |
| 205 | return NULL; |
| 206 | |
| 207 | mat->ref++; |
| 208 | return mat; |
| 209 | } |
| 210 | |
| 211 | __isl_give isl_mat *isl_mat_dup(__isl_keep isl_mat *mat) |
| 212 | { |
| 213 | int i; |
| 214 | struct isl_mat *mat2; |
| 215 | |
| 216 | if (!mat) |
| 217 | return NULL; |
| 218 | mat2 = isl_mat_alloc(ctx: mat->ctx, n_row: mat->n_row, n_col: mat->n_col); |
| 219 | if (!mat2) |
| 220 | return NULL; |
| 221 | for (i = 0; i < mat->n_row; ++i) |
| 222 | isl_seq_cpy(dst: mat2->row[i], src: mat->row[i], len: mat->n_col); |
| 223 | return mat2; |
| 224 | } |
| 225 | |
| 226 | __isl_give isl_mat *isl_mat_cow(__isl_take isl_mat *mat) |
| 227 | { |
| 228 | struct isl_mat *mat2; |
| 229 | if (!mat) |
| 230 | return NULL; |
| 231 | |
| 232 | if (mat->ref == 1 && !ISL_F_ISSET(mat, ISL_MAT_BORROWED)) |
| 233 | return mat; |
| 234 | |
| 235 | mat2 = isl_mat_dup(mat); |
| 236 | isl_mat_free(mat); |
| 237 | return mat2; |
| 238 | } |
| 239 | |
| 240 | __isl_null isl_mat *isl_mat_free(__isl_take isl_mat *mat) |
| 241 | { |
| 242 | if (!mat) |
| 243 | return NULL; |
| 244 | |
| 245 | if (--mat->ref > 0) |
| 246 | return NULL; |
| 247 | |
| 248 | if (!ISL_F_ISSET(mat, ISL_MAT_BORROWED)) |
| 249 | isl_blk_free(ctx: mat->ctx, block: mat->block); |
| 250 | isl_ctx_deref(ctx: mat->ctx); |
| 251 | free(ptr: mat->row); |
| 252 | free(ptr: mat); |
| 253 | |
| 254 | return NULL; |
| 255 | } |
| 256 | |
| 257 | isl_size isl_mat_rows(__isl_keep isl_mat *mat) |
| 258 | { |
| 259 | return mat ? mat->n_row : isl_size_error; |
| 260 | } |
| 261 | |
| 262 | isl_size isl_mat_cols(__isl_keep isl_mat *mat) |
| 263 | { |
| 264 | return mat ? mat->n_col : isl_size_error; |
| 265 | } |
| 266 | |
| 267 | /* Check that "col" is a valid column position for "mat". |
| 268 | */ |
| 269 | static isl_stat check_col(__isl_keep isl_mat *mat, int col) |
| 270 | { |
| 271 | if (!mat) |
| 272 | return isl_stat_error; |
| 273 | if (col < 0 || col >= mat->n_col) |
| 274 | isl_die(isl_mat_get_ctx(mat), isl_error_invalid, |
| 275 | "column out of range" , return isl_stat_error); |
| 276 | return isl_stat_ok; |
| 277 | } |
| 278 | |
| 279 | /* Check that "row" is a valid row position for "mat". |
| 280 | */ |
| 281 | static isl_stat check_row(__isl_keep isl_mat *mat, int row) |
| 282 | { |
| 283 | if (!mat) |
| 284 | return isl_stat_error; |
| 285 | if (row < 0 || row >= mat->n_row) |
| 286 | isl_die(isl_mat_get_ctx(mat), isl_error_invalid, |
| 287 | "row out of range" , return isl_stat_error); |
| 288 | return isl_stat_ok; |
| 289 | } |
| 290 | |
| 291 | /* Check that there are "n" columns starting at position "first" in "mat". |
| 292 | */ |
| 293 | static isl_stat check_col_range(__isl_keep isl_mat *mat, unsigned first, |
| 294 | unsigned n) |
| 295 | { |
| 296 | if (!mat) |
| 297 | return isl_stat_error; |
| 298 | if (first + n > mat->n_col || first + n < first) |
| 299 | isl_die(isl_mat_get_ctx(mat), isl_error_invalid, |
| 300 | "column position or range out of bounds" , |
| 301 | return isl_stat_error); |
| 302 | return isl_stat_ok; |
| 303 | } |
| 304 | |
| 305 | /* Check that there are "n" rows starting at position "first" in "mat". |
| 306 | */ |
| 307 | static isl_stat check_row_range(__isl_keep isl_mat *mat, unsigned first, |
| 308 | unsigned n) |
| 309 | { |
| 310 | if (!mat) |
| 311 | return isl_stat_error; |
| 312 | if (first + n > mat->n_row || first + n < first) |
| 313 | isl_die(isl_mat_get_ctx(mat), isl_error_invalid, |
| 314 | "row position or range out of bounds" , |
| 315 | return isl_stat_error); |
| 316 | return isl_stat_ok; |
| 317 | } |
| 318 | |
| 319 | int isl_mat_get_element(__isl_keep isl_mat *mat, int row, int col, isl_int *v) |
| 320 | { |
| 321 | if (check_row(mat, row) < 0) |
| 322 | return -1; |
| 323 | if (check_col(mat, col) < 0) |
| 324 | return -1; |
| 325 | isl_int_set(*v, mat->row[row][col]); |
| 326 | return 0; |
| 327 | } |
| 328 | |
| 329 | /* Extract the element at row "row", oolumn "col" of "mat". |
| 330 | */ |
| 331 | __isl_give isl_val *isl_mat_get_element_val(__isl_keep isl_mat *mat, |
| 332 | int row, int col) |
| 333 | { |
| 334 | isl_ctx *ctx; |
| 335 | |
| 336 | if (check_row(mat, row) < 0) |
| 337 | return NULL; |
| 338 | if (check_col(mat, col) < 0) |
| 339 | return NULL; |
| 340 | ctx = isl_mat_get_ctx(mat); |
| 341 | return isl_val_int_from_isl_int(ctx, n: mat->row[row][col]); |
| 342 | } |
| 343 | |
| 344 | __isl_give isl_mat *isl_mat_set_element(__isl_take isl_mat *mat, |
| 345 | int row, int col, isl_int v) |
| 346 | { |
| 347 | mat = isl_mat_cow(mat); |
| 348 | if (check_row(mat, row) < 0) |
| 349 | return isl_mat_free(mat); |
| 350 | if (check_col(mat, col) < 0) |
| 351 | return isl_mat_free(mat); |
| 352 | isl_int_set(mat->row[row][col], v); |
| 353 | return mat; |
| 354 | } |
| 355 | |
| 356 | __isl_give isl_mat *isl_mat_set_element_si(__isl_take isl_mat *mat, |
| 357 | int row, int col, int v) |
| 358 | { |
| 359 | mat = isl_mat_cow(mat); |
| 360 | if (check_row(mat, row) < 0) |
| 361 | return isl_mat_free(mat); |
| 362 | if (check_col(mat, col) < 0) |
| 363 | return isl_mat_free(mat); |
| 364 | isl_int_set_si(mat->row[row][col], v); |
| 365 | return mat; |
| 366 | } |
| 367 | |
| 368 | /* Replace the element at row "row", column "col" of "mat" by "v". |
| 369 | */ |
| 370 | __isl_give isl_mat *isl_mat_set_element_val(__isl_take isl_mat *mat, |
| 371 | int row, int col, __isl_take isl_val *v) |
| 372 | { |
| 373 | if (!v) |
| 374 | return isl_mat_free(mat); |
| 375 | if (!isl_val_is_int(v)) |
| 376 | isl_die(isl_val_get_ctx(v), isl_error_invalid, |
| 377 | "expecting integer value" , goto error); |
| 378 | mat = isl_mat_set_element(mat, row, col, v: v->n); |
| 379 | isl_val_free(v); |
| 380 | return mat; |
| 381 | error: |
| 382 | isl_val_free(v); |
| 383 | return isl_mat_free(mat); |
| 384 | } |
| 385 | |
| 386 | __isl_give isl_mat *isl_mat_diag(isl_ctx *ctx, unsigned n_row, isl_int d) |
| 387 | { |
| 388 | int i; |
| 389 | struct isl_mat *mat; |
| 390 | |
| 391 | mat = isl_mat_alloc(ctx, n_row, n_col: n_row); |
| 392 | if (!mat) |
| 393 | return NULL; |
| 394 | for (i = 0; i < n_row; ++i) { |
| 395 | isl_seq_clr(p: mat->row[i], len: i); |
| 396 | isl_int_set(mat->row[i][i], d); |
| 397 | isl_seq_clr(p: mat->row[i]+i+1, len: n_row-(i+1)); |
| 398 | } |
| 399 | |
| 400 | return mat; |
| 401 | } |
| 402 | |
| 403 | /* Create an "n_row" by "n_col" matrix with zero elements. |
| 404 | */ |
| 405 | __isl_give isl_mat *isl_mat_zero(isl_ctx *ctx, unsigned n_row, unsigned n_col) |
| 406 | { |
| 407 | int i; |
| 408 | isl_mat *mat; |
| 409 | |
| 410 | mat = isl_mat_alloc(ctx, n_row, n_col); |
| 411 | if (!mat) |
| 412 | return NULL; |
| 413 | for (i = 0; i < n_row; ++i) |
| 414 | isl_seq_clr(p: mat->row[i], len: n_col); |
| 415 | |
| 416 | return mat; |
| 417 | } |
| 418 | |
| 419 | __isl_give isl_mat *isl_mat_identity(isl_ctx *ctx, unsigned n_row) |
| 420 | { |
| 421 | if (!ctx) |
| 422 | return NULL; |
| 423 | return isl_mat_diag(ctx, n_row, d: ctx->one); |
| 424 | } |
| 425 | |
| 426 | /* Is "mat" a (possibly scaled) identity matrix? |
| 427 | */ |
| 428 | isl_bool isl_mat_is_scaled_identity(__isl_keep isl_mat *mat) |
| 429 | { |
| 430 | int i; |
| 431 | |
| 432 | if (!mat) |
| 433 | return isl_bool_error; |
| 434 | if (mat->n_row != mat->n_col) |
| 435 | return isl_bool_false; |
| 436 | |
| 437 | for (i = 0; i < mat->n_row; ++i) { |
| 438 | if (isl_seq_first_non_zero(p: mat->row[i], len: i) != -1) |
| 439 | return isl_bool_false; |
| 440 | if (isl_int_ne(mat->row[0][0], mat->row[i][i])) |
| 441 | return isl_bool_false; |
| 442 | if (isl_seq_first_non_zero(p: mat->row[i] + i + 1, |
| 443 | len: mat->n_col - (i + 1)) != -1) |
| 444 | return isl_bool_false; |
| 445 | } |
| 446 | |
| 447 | return isl_bool_true; |
| 448 | } |
| 449 | |
| 450 | __isl_give isl_vec *isl_mat_vec_product(__isl_take isl_mat *mat, |
| 451 | __isl_take isl_vec *vec) |
| 452 | { |
| 453 | int i; |
| 454 | struct isl_vec *prod; |
| 455 | |
| 456 | if (!mat || !vec) |
| 457 | goto error; |
| 458 | |
| 459 | isl_assert(mat->ctx, mat->n_col == vec->size, goto error); |
| 460 | |
| 461 | prod = isl_vec_alloc(ctx: mat->ctx, size: mat->n_row); |
| 462 | if (!prod) |
| 463 | goto error; |
| 464 | |
| 465 | for (i = 0; i < prod->size; ++i) |
| 466 | isl_seq_inner_product(p1: mat->row[i], p2: vec->el, len: vec->size, |
| 467 | prod: &prod->block.data[i]); |
| 468 | isl_mat_free(mat); |
| 469 | isl_vec_free(vec); |
| 470 | return prod; |
| 471 | error: |
| 472 | isl_mat_free(mat); |
| 473 | isl_vec_free(vec); |
| 474 | return NULL; |
| 475 | } |
| 476 | |
| 477 | __isl_give isl_vec *isl_mat_vec_inverse_product(__isl_take isl_mat *mat, |
| 478 | __isl_take isl_vec *vec) |
| 479 | { |
| 480 | struct isl_mat *vec_mat; |
| 481 | int i; |
| 482 | |
| 483 | if (!mat || !vec) |
| 484 | goto error; |
| 485 | vec_mat = isl_mat_alloc(ctx: vec->ctx, n_row: vec->size, n_col: 1); |
| 486 | if (!vec_mat) |
| 487 | goto error; |
| 488 | for (i = 0; i < vec->size; ++i) |
| 489 | isl_int_set(vec_mat->row[i][0], vec->el[i]); |
| 490 | vec_mat = isl_mat_inverse_product(left: mat, right: vec_mat); |
| 491 | isl_vec_free(vec); |
| 492 | if (!vec_mat) |
| 493 | return NULL; |
| 494 | vec = isl_vec_alloc(ctx: vec_mat->ctx, size: vec_mat->n_row); |
| 495 | if (vec) |
| 496 | for (i = 0; i < vec->size; ++i) |
| 497 | isl_int_set(vec->el[i], vec_mat->row[i][0]); |
| 498 | isl_mat_free(mat: vec_mat); |
| 499 | return vec; |
| 500 | error: |
| 501 | isl_mat_free(mat); |
| 502 | isl_vec_free(vec); |
| 503 | return NULL; |
| 504 | } |
| 505 | |
| 506 | __isl_give isl_vec *isl_vec_mat_product(__isl_take isl_vec *vec, |
| 507 | __isl_take isl_mat *mat) |
| 508 | { |
| 509 | int i, j; |
| 510 | struct isl_vec *prod; |
| 511 | |
| 512 | if (!mat || !vec) |
| 513 | goto error; |
| 514 | |
| 515 | isl_assert(mat->ctx, mat->n_row == vec->size, goto error); |
| 516 | |
| 517 | prod = isl_vec_alloc(ctx: mat->ctx, size: mat->n_col); |
| 518 | if (!prod) |
| 519 | goto error; |
| 520 | |
| 521 | for (i = 0; i < prod->size; ++i) { |
| 522 | isl_int_set_si(prod->el[i], 0); |
| 523 | for (j = 0; j < vec->size; ++j) |
| 524 | isl_int_addmul(prod->el[i], vec->el[j], mat->row[j][i]); |
| 525 | } |
| 526 | isl_mat_free(mat); |
| 527 | isl_vec_free(vec); |
| 528 | return prod; |
| 529 | error: |
| 530 | isl_mat_free(mat); |
| 531 | isl_vec_free(vec); |
| 532 | return NULL; |
| 533 | } |
| 534 | |
| 535 | __isl_give isl_mat *isl_mat_aff_direct_sum(__isl_take isl_mat *left, |
| 536 | __isl_take isl_mat *right) |
| 537 | { |
| 538 | int i; |
| 539 | struct isl_mat *sum; |
| 540 | |
| 541 | if (!left || !right) |
| 542 | goto error; |
| 543 | |
| 544 | isl_assert(left->ctx, left->n_row == right->n_row, goto error); |
| 545 | isl_assert(left->ctx, left->n_row >= 1, goto error); |
| 546 | isl_assert(left->ctx, left->n_col >= 1, goto error); |
| 547 | isl_assert(left->ctx, right->n_col >= 1, goto error); |
| 548 | isl_assert(left->ctx, |
| 549 | isl_seq_first_non_zero(left->row[0]+1, left->n_col-1) == -1, |
| 550 | goto error); |
| 551 | isl_assert(left->ctx, |
| 552 | isl_seq_first_non_zero(right->row[0]+1, right->n_col-1) == -1, |
| 553 | goto error); |
| 554 | |
| 555 | sum = isl_mat_alloc(ctx: left->ctx, n_row: left->n_row, n_col: left->n_col + right->n_col - 1); |
| 556 | if (!sum) |
| 557 | goto error; |
| 558 | isl_int_lcm(sum->row[0][0], left->row[0][0], right->row[0][0]); |
| 559 | isl_int_divexact(left->row[0][0], sum->row[0][0], left->row[0][0]); |
| 560 | isl_int_divexact(right->row[0][0], sum->row[0][0], right->row[0][0]); |
| 561 | |
| 562 | isl_seq_clr(p: sum->row[0]+1, len: sum->n_col-1); |
| 563 | for (i = 1; i < sum->n_row; ++i) { |
| 564 | isl_int_mul(sum->row[i][0], left->row[0][0], left->row[i][0]); |
| 565 | isl_int_addmul(sum->row[i][0], |
| 566 | right->row[0][0], right->row[i][0]); |
| 567 | isl_seq_scale(dst: sum->row[i]+1, src: left->row[i]+1, f: left->row[0][0], |
| 568 | len: left->n_col-1); |
| 569 | isl_seq_scale(dst: sum->row[i]+left->n_col, |
| 570 | src: right->row[i]+1, f: right->row[0][0], |
| 571 | len: right->n_col-1); |
| 572 | } |
| 573 | |
| 574 | isl_int_divexact(left->row[0][0], sum->row[0][0], left->row[0][0]); |
| 575 | isl_int_divexact(right->row[0][0], sum->row[0][0], right->row[0][0]); |
| 576 | isl_mat_free(mat: left); |
| 577 | isl_mat_free(mat: right); |
| 578 | return sum; |
| 579 | error: |
| 580 | isl_mat_free(mat: left); |
| 581 | isl_mat_free(mat: right); |
| 582 | return NULL; |
| 583 | } |
| 584 | |
| 585 | static void exchange(__isl_keep isl_mat *M, __isl_keep isl_mat **U, |
| 586 | __isl_keep isl_mat **Q, unsigned row, unsigned i, unsigned j) |
| 587 | { |
| 588 | int r; |
| 589 | for (r = row; r < M->n_row; ++r) |
| 590 | isl_int_swap(M->row[r][i], M->row[r][j]); |
| 591 | if (U) { |
| 592 | for (r = 0; r < (*U)->n_row; ++r) |
| 593 | isl_int_swap((*U)->row[r][i], (*U)->row[r][j]); |
| 594 | } |
| 595 | if (Q) |
| 596 | isl_mat_swap_rows(mat: *Q, i, j); |
| 597 | } |
| 598 | |
| 599 | static void subtract(__isl_keep isl_mat *M, __isl_keep isl_mat **U, |
| 600 | __isl_keep isl_mat **Q, unsigned row, unsigned i, unsigned j, isl_int m) |
| 601 | { |
| 602 | int r; |
| 603 | for (r = row; r < M->n_row; ++r) |
| 604 | isl_int_submul(M->row[r][j], m, M->row[r][i]); |
| 605 | if (U) { |
| 606 | for (r = 0; r < (*U)->n_row; ++r) |
| 607 | isl_int_submul((*U)->row[r][j], m, (*U)->row[r][i]); |
| 608 | } |
| 609 | if (Q) { |
| 610 | for (r = 0; r < (*Q)->n_col; ++r) |
| 611 | isl_int_addmul((*Q)->row[i][r], m, (*Q)->row[j][r]); |
| 612 | } |
| 613 | } |
| 614 | |
| 615 | static void oppose(__isl_keep isl_mat *M, __isl_keep isl_mat **U, |
| 616 | __isl_keep isl_mat **Q, unsigned row, unsigned col) |
| 617 | { |
| 618 | int r; |
| 619 | for (r = row; r < M->n_row; ++r) |
| 620 | isl_int_neg(M->row[r][col], M->row[r][col]); |
| 621 | if (U) { |
| 622 | for (r = 0; r < (*U)->n_row; ++r) |
| 623 | isl_int_neg((*U)->row[r][col], (*U)->row[r][col]); |
| 624 | } |
| 625 | if (Q) |
| 626 | isl_seq_neg(dst: (*Q)->row[col], src: (*Q)->row[col], len: (*Q)->n_col); |
| 627 | } |
| 628 | |
| 629 | /* Given matrix M, compute |
| 630 | * |
| 631 | * M U = H |
| 632 | * M = H Q |
| 633 | * |
| 634 | * with U and Q unimodular matrices and H a matrix in column echelon form |
| 635 | * such that on each echelon row the entries in the non-echelon column |
| 636 | * are non-negative (if neg == 0) or non-positive (if neg == 1) |
| 637 | * and strictly smaller (in absolute value) than the entries in the echelon |
| 638 | * column. |
| 639 | * If U or Q are NULL, then these matrices are not computed. |
| 640 | */ |
| 641 | __isl_give isl_mat *isl_mat_left_hermite(__isl_take isl_mat *M, int neg, |
| 642 | __isl_give isl_mat **U, __isl_give isl_mat **Q) |
| 643 | { |
| 644 | isl_int c; |
| 645 | int row, col; |
| 646 | |
| 647 | if (U) |
| 648 | *U = NULL; |
| 649 | if (Q) |
| 650 | *Q = NULL; |
| 651 | if (!M) |
| 652 | goto error; |
| 653 | if (U) { |
| 654 | *U = isl_mat_identity(ctx: M->ctx, n_row: M->n_col); |
| 655 | if (!*U) |
| 656 | goto error; |
| 657 | } |
| 658 | if (Q) { |
| 659 | *Q = isl_mat_identity(ctx: M->ctx, n_row: M->n_col); |
| 660 | if (!*Q) |
| 661 | goto error; |
| 662 | } |
| 663 | |
| 664 | if (M->n_col == 0) |
| 665 | return M; |
| 666 | |
| 667 | M = isl_mat_cow(mat: M); |
| 668 | if (!M) |
| 669 | goto error; |
| 670 | |
| 671 | col = 0; |
| 672 | isl_int_init(c); |
| 673 | for (row = 0; row < M->n_row; ++row) { |
| 674 | int first, i, off; |
| 675 | first = isl_seq_abs_min_non_zero(p: M->row[row]+col, len: M->n_col-col); |
| 676 | if (first == -1) |
| 677 | continue; |
| 678 | first += col; |
| 679 | if (first != col) |
| 680 | exchange(M, U, Q, row, i: first, j: col); |
| 681 | if (isl_int_is_neg(M->row[row][col])) |
| 682 | oppose(M, U, Q, row, col); |
| 683 | first = col+1; |
| 684 | while ((off = isl_seq_first_non_zero(p: M->row[row]+first, |
| 685 | len: M->n_col-first)) != -1) { |
| 686 | first += off; |
| 687 | isl_int_fdiv_q(c, M->row[row][first], M->row[row][col]); |
| 688 | subtract(M, U, Q, row, i: col, j: first, m: c); |
| 689 | if (!isl_int_is_zero(M->row[row][first])) |
| 690 | exchange(M, U, Q, row, i: first, j: col); |
| 691 | else |
| 692 | ++first; |
| 693 | } |
| 694 | for (i = 0; i < col; ++i) { |
| 695 | if (isl_int_is_zero(M->row[row][i])) |
| 696 | continue; |
| 697 | if (neg) |
| 698 | isl_int_cdiv_q(c, M->row[row][i], M->row[row][col]); |
| 699 | else |
| 700 | isl_int_fdiv_q(c, M->row[row][i], M->row[row][col]); |
| 701 | if (isl_int_is_zero(c)) |
| 702 | continue; |
| 703 | subtract(M, U, Q, row, i: col, j: i, m: c); |
| 704 | } |
| 705 | ++col; |
| 706 | } |
| 707 | isl_int_clear(c); |
| 708 | |
| 709 | return M; |
| 710 | error: |
| 711 | if (Q) { |
| 712 | isl_mat_free(mat: *Q); |
| 713 | *Q = NULL; |
| 714 | } |
| 715 | if (U) { |
| 716 | isl_mat_free(mat: *U); |
| 717 | *U = NULL; |
| 718 | } |
| 719 | isl_mat_free(mat: M); |
| 720 | return NULL; |
| 721 | } |
| 722 | |
| 723 | /* Use row "row" of "mat" to eliminate column "col" from all other rows. |
| 724 | */ |
| 725 | static __isl_give isl_mat *eliminate(__isl_take isl_mat *mat, int row, int col) |
| 726 | { |
| 727 | int k; |
| 728 | isl_size nr, nc; |
| 729 | isl_ctx *ctx; |
| 730 | |
| 731 | nr = isl_mat_rows(mat); |
| 732 | nc = isl_mat_cols(mat); |
| 733 | if (nr < 0 || nc < 0) |
| 734 | return isl_mat_free(mat); |
| 735 | |
| 736 | ctx = isl_mat_get_ctx(mat); |
| 737 | |
| 738 | for (k = 0; k < nr; ++k) { |
| 739 | if (k == row) |
| 740 | continue; |
| 741 | if (isl_int_is_zero(mat->row[k][col])) |
| 742 | continue; |
| 743 | mat = isl_mat_cow(mat); |
| 744 | if (!mat) |
| 745 | return NULL; |
| 746 | isl_seq_elim(dst: mat->row[k], src: mat->row[row], pos: col, len: nc, NULL); |
| 747 | isl_seq_normalize(ctx, p: mat->row[k], len: nc); |
| 748 | } |
| 749 | |
| 750 | return mat; |
| 751 | } |
| 752 | |
| 753 | /* Perform Gaussian elimination on the rows of "mat", but start |
| 754 | * from the final row and the final column. |
| 755 | * Any zero rows that result from the elimination are removed. |
| 756 | * |
| 757 | * In particular, for each column from last to first, |
| 758 | * look for the last row with a non-zero coefficient in that column, |
| 759 | * move it last (but before other rows moved last in previous steps) and |
| 760 | * use it to eliminate the column from the other rows. |
| 761 | */ |
| 762 | __isl_give isl_mat *isl_mat_reverse_gauss(__isl_take isl_mat *mat) |
| 763 | { |
| 764 | int k, row, last; |
| 765 | isl_size nr, nc; |
| 766 | |
| 767 | nr = isl_mat_rows(mat); |
| 768 | nc = isl_mat_cols(mat); |
| 769 | if (nr < 0 || nc < 0) |
| 770 | return isl_mat_free(mat); |
| 771 | |
| 772 | last = nc - 1; |
| 773 | for (row = nr - 1; row >= 0; --row) { |
| 774 | for (; last >= 0; --last) { |
| 775 | for (k = row; k >= 0; --k) |
| 776 | if (!isl_int_is_zero(mat->row[k][last])) |
| 777 | break; |
| 778 | if (k >= 0) |
| 779 | break; |
| 780 | } |
| 781 | if (last < 0) |
| 782 | break; |
| 783 | if (k != row) |
| 784 | mat = isl_mat_swap_rows(mat, i: k, j: row); |
| 785 | if (!mat) |
| 786 | return NULL; |
| 787 | if (isl_int_is_neg(mat->row[row][last])) |
| 788 | mat = isl_mat_row_neg(mat, row); |
| 789 | mat = eliminate(mat, row, col: last); |
| 790 | if (!mat) |
| 791 | return NULL; |
| 792 | } |
| 793 | mat = isl_mat_drop_rows(mat, row: 0, n: row + 1); |
| 794 | |
| 795 | return mat; |
| 796 | } |
| 797 | |
| 798 | /* Negate the lexicographically negative rows of "mat" such that |
| 799 | * all rows in the result are lexicographically non-negative. |
| 800 | */ |
| 801 | __isl_give isl_mat *isl_mat_lexnonneg_rows(__isl_take isl_mat *mat) |
| 802 | { |
| 803 | int i; |
| 804 | isl_size nr, nc; |
| 805 | |
| 806 | nr = isl_mat_rows(mat); |
| 807 | nc = isl_mat_cols(mat); |
| 808 | if (nr < 0 || nc < 0) |
| 809 | return isl_mat_free(mat); |
| 810 | |
| 811 | for (i = 0; i < nr; ++i) { |
| 812 | int pos; |
| 813 | |
| 814 | pos = isl_seq_first_non_zero(p: mat->row[i], len: nc); |
| 815 | if (pos < 0) |
| 816 | continue; |
| 817 | if (isl_int_is_nonneg(mat->row[i][pos])) |
| 818 | continue; |
| 819 | mat = isl_mat_row_neg(mat, row: i); |
| 820 | if (!mat) |
| 821 | return NULL; |
| 822 | } |
| 823 | |
| 824 | return mat; |
| 825 | } |
| 826 | |
| 827 | /* Given a matrix "H" is column echelon form, what is the first |
| 828 | * zero column? That is how many initial columns are non-zero? |
| 829 | * Start looking at column "first_col" and only consider |
| 830 | * the columns to be of size "n_row". |
| 831 | * "H" is assumed to be non-NULL. |
| 832 | * |
| 833 | * Since "H" is in column echelon form, the first non-zero entry |
| 834 | * in a column is always in a later position compared to the previous column. |
| 835 | */ |
| 836 | static int hermite_first_zero_col(__isl_keep isl_mat *H, int first_col, |
| 837 | int n_row) |
| 838 | { |
| 839 | int row, col; |
| 840 | |
| 841 | for (col = first_col, row = 0; col < H->n_col; ++col) { |
| 842 | for (; row < n_row; ++row) |
| 843 | if (!isl_int_is_zero(H->row[row][col])) |
| 844 | break; |
| 845 | if (row == n_row) |
| 846 | return col; |
| 847 | } |
| 848 | |
| 849 | return H->n_col; |
| 850 | } |
| 851 | |
| 852 | /* Return the rank of "mat", or isl_size_error in case of error. |
| 853 | */ |
| 854 | isl_size isl_mat_rank(__isl_keep isl_mat *mat) |
| 855 | { |
| 856 | int rank; |
| 857 | isl_mat *H; |
| 858 | |
| 859 | H = isl_mat_left_hermite(M: isl_mat_copy(mat), neg: 0, NULL, NULL); |
| 860 | if (!H) |
| 861 | return isl_size_error; |
| 862 | |
| 863 | rank = hermite_first_zero_col(H, first_col: 0, n_row: H->n_row); |
| 864 | isl_mat_free(mat: H); |
| 865 | |
| 866 | return rank; |
| 867 | } |
| 868 | |
| 869 | __isl_give isl_mat *isl_mat_right_kernel(__isl_take isl_mat *mat) |
| 870 | { |
| 871 | int rank; |
| 872 | struct isl_mat *U = NULL; |
| 873 | struct isl_mat *K; |
| 874 | |
| 875 | mat = isl_mat_left_hermite(M: mat, neg: 0, U: &U, NULL); |
| 876 | if (!mat || !U) |
| 877 | goto error; |
| 878 | |
| 879 | rank = hermite_first_zero_col(H: mat, first_col: 0, n_row: mat->n_row); |
| 880 | K = isl_mat_alloc(ctx: U->ctx, n_row: U->n_row, n_col: U->n_col - rank); |
| 881 | if (!K) |
| 882 | goto error; |
| 883 | isl_mat_sub_copy(ctx: K->ctx, dst: K->row, src: U->row, n_row: U->n_row, dst_col: 0, src_col: rank, n_col: U->n_col-rank); |
| 884 | isl_mat_free(mat); |
| 885 | isl_mat_free(mat: U); |
| 886 | return K; |
| 887 | error: |
| 888 | isl_mat_free(mat); |
| 889 | isl_mat_free(mat: U); |
| 890 | return NULL; |
| 891 | } |
| 892 | |
| 893 | __isl_give isl_mat *isl_mat_lin_to_aff(__isl_take isl_mat *mat) |
| 894 | { |
| 895 | int i; |
| 896 | struct isl_mat *mat2; |
| 897 | |
| 898 | if (!mat) |
| 899 | return NULL; |
| 900 | mat2 = isl_mat_alloc(ctx: mat->ctx, n_row: 1+mat->n_row, n_col: 1+mat->n_col); |
| 901 | if (!mat2) |
| 902 | goto error; |
| 903 | isl_int_set_si(mat2->row[0][0], 1); |
| 904 | isl_seq_clr(p: mat2->row[0]+1, len: mat->n_col); |
| 905 | for (i = 0; i < mat->n_row; ++i) { |
| 906 | isl_int_set_si(mat2->row[1+i][0], 0); |
| 907 | isl_seq_cpy(dst: mat2->row[1+i]+1, src: mat->row[i], len: mat->n_col); |
| 908 | } |
| 909 | isl_mat_free(mat); |
| 910 | return mat2; |
| 911 | error: |
| 912 | isl_mat_free(mat); |
| 913 | return NULL; |
| 914 | } |
| 915 | |
| 916 | /* Given two matrices M1 and M2, return the block matrix |
| 917 | * |
| 918 | * [ M1 0 ] |
| 919 | * [ 0 M2 ] |
| 920 | */ |
| 921 | __isl_give isl_mat *isl_mat_diagonal(__isl_take isl_mat *mat1, |
| 922 | __isl_take isl_mat *mat2) |
| 923 | { |
| 924 | int i; |
| 925 | isl_mat *mat; |
| 926 | |
| 927 | if (!mat1 || !mat2) |
| 928 | goto error; |
| 929 | |
| 930 | mat = isl_mat_alloc(ctx: mat1->ctx, n_row: mat1->n_row + mat2->n_row, |
| 931 | n_col: mat1->n_col + mat2->n_col); |
| 932 | if (!mat) |
| 933 | goto error; |
| 934 | for (i = 0; i < mat1->n_row; ++i) { |
| 935 | isl_seq_cpy(dst: mat->row[i], src: mat1->row[i], len: mat1->n_col); |
| 936 | isl_seq_clr(p: mat->row[i] + mat1->n_col, len: mat2->n_col); |
| 937 | } |
| 938 | for (i = 0; i < mat2->n_row; ++i) { |
| 939 | isl_seq_clr(p: mat->row[mat1->n_row + i], len: mat1->n_col); |
| 940 | isl_seq_cpy(dst: mat->row[mat1->n_row + i] + mat1->n_col, |
| 941 | src: mat2->row[i], len: mat2->n_col); |
| 942 | } |
| 943 | isl_mat_free(mat: mat1); |
| 944 | isl_mat_free(mat: mat2); |
| 945 | return mat; |
| 946 | error: |
| 947 | isl_mat_free(mat: mat1); |
| 948 | isl_mat_free(mat: mat2); |
| 949 | return NULL; |
| 950 | } |
| 951 | |
| 952 | static int row_first_non_zero(isl_int **row, unsigned n_row, unsigned col) |
| 953 | { |
| 954 | int i; |
| 955 | |
| 956 | for (i = 0; i < n_row; ++i) |
| 957 | if (!isl_int_is_zero(row[i][col])) |
| 958 | return i; |
| 959 | return -1; |
| 960 | } |
| 961 | |
| 962 | static int row_abs_min_non_zero(isl_int **row, unsigned n_row, unsigned col) |
| 963 | { |
| 964 | int i, min = row_first_non_zero(row, n_row, col); |
| 965 | if (min < 0) |
| 966 | return -1; |
| 967 | for (i = min + 1; i < n_row; ++i) { |
| 968 | if (isl_int_is_zero(row[i][col])) |
| 969 | continue; |
| 970 | if (isl_int_abs_lt(row[i][col], row[min][col])) |
| 971 | min = i; |
| 972 | } |
| 973 | return min; |
| 974 | } |
| 975 | |
| 976 | static isl_stat inv_exchange(__isl_keep isl_mat **left, |
| 977 | __isl_keep isl_mat **right, unsigned i, unsigned j) |
| 978 | { |
| 979 | *left = isl_mat_swap_rows(mat: *left, i, j); |
| 980 | *right = isl_mat_swap_rows(mat: *right, i, j); |
| 981 | |
| 982 | if (!*left || !*right) |
| 983 | return isl_stat_error; |
| 984 | return isl_stat_ok; |
| 985 | } |
| 986 | |
| 987 | static void inv_oppose( |
| 988 | __isl_keep isl_mat *left, __isl_keep isl_mat *right, unsigned row) |
| 989 | { |
| 990 | isl_seq_neg(dst: left->row[row]+row, src: left->row[row]+row, len: left->n_col-row); |
| 991 | isl_seq_neg(dst: right->row[row], src: right->row[row], len: right->n_col); |
| 992 | } |
| 993 | |
| 994 | static void inv_subtract(__isl_keep isl_mat *left, __isl_keep isl_mat *right, |
| 995 | unsigned row, unsigned i, isl_int m) |
| 996 | { |
| 997 | isl_int_neg(m, m); |
| 998 | isl_seq_combine(dst: left->row[i]+row, |
| 999 | m1: left->ctx->one, src1: left->row[i]+row, |
| 1000 | m2: m, src2: left->row[row]+row, |
| 1001 | len: left->n_col-row); |
| 1002 | isl_seq_combine(dst: right->row[i], m1: right->ctx->one, src1: right->row[i], |
| 1003 | m2: m, src2: right->row[row], len: right->n_col); |
| 1004 | } |
| 1005 | |
| 1006 | /* Compute inv(left)*right |
| 1007 | */ |
| 1008 | __isl_give isl_mat *isl_mat_inverse_product(__isl_take isl_mat *left, |
| 1009 | __isl_take isl_mat *right) |
| 1010 | { |
| 1011 | int row; |
| 1012 | isl_int a, b; |
| 1013 | |
| 1014 | if (!left || !right) |
| 1015 | goto error; |
| 1016 | |
| 1017 | isl_assert(left->ctx, left->n_row == left->n_col, goto error); |
| 1018 | isl_assert(left->ctx, left->n_row == right->n_row, goto error); |
| 1019 | |
| 1020 | if (left->n_row == 0) { |
| 1021 | isl_mat_free(mat: left); |
| 1022 | return right; |
| 1023 | } |
| 1024 | |
| 1025 | left = isl_mat_cow(mat: left); |
| 1026 | right = isl_mat_cow(mat: right); |
| 1027 | if (!left || !right) |
| 1028 | goto error; |
| 1029 | |
| 1030 | isl_int_init(a); |
| 1031 | isl_int_init(b); |
| 1032 | for (row = 0; row < left->n_row; ++row) { |
| 1033 | int pivot, first, i, off; |
| 1034 | pivot = row_abs_min_non_zero(row: left->row+row, n_row: left->n_row-row, col: row); |
| 1035 | if (pivot < 0) { |
| 1036 | isl_int_clear(a); |
| 1037 | isl_int_clear(b); |
| 1038 | isl_assert(left->ctx, pivot >= 0, goto error); |
| 1039 | } |
| 1040 | pivot += row; |
| 1041 | if (pivot != row) |
| 1042 | if (inv_exchange(left: &left, right: &right, i: pivot, j: row) < 0) |
| 1043 | goto error; |
| 1044 | if (isl_int_is_neg(left->row[row][row])) |
| 1045 | inv_oppose(left, right, row); |
| 1046 | first = row+1; |
| 1047 | while ((off = row_first_non_zero(row: left->row+first, |
| 1048 | n_row: left->n_row-first, col: row)) != -1) { |
| 1049 | first += off; |
| 1050 | isl_int_fdiv_q(a, left->row[first][row], |
| 1051 | left->row[row][row]); |
| 1052 | inv_subtract(left, right, row, i: first, m: a); |
| 1053 | if (!isl_int_is_zero(left->row[first][row])) { |
| 1054 | if (inv_exchange(left: &left, right: &right, i: row, j: first) < 0) |
| 1055 | goto error; |
| 1056 | } else { |
| 1057 | ++first; |
| 1058 | } |
| 1059 | } |
| 1060 | for (i = 0; i < row; ++i) { |
| 1061 | if (isl_int_is_zero(left->row[i][row])) |
| 1062 | continue; |
| 1063 | isl_int_gcd(a, left->row[row][row], left->row[i][row]); |
| 1064 | isl_int_divexact(b, left->row[i][row], a); |
| 1065 | isl_int_divexact(a, left->row[row][row], a); |
| 1066 | isl_int_neg(b, b); |
| 1067 | isl_seq_combine(dst: left->row[i] + i, |
| 1068 | m1: a, src1: left->row[i] + i, |
| 1069 | m2: b, src2: left->row[row] + i, |
| 1070 | len: left->n_col - i); |
| 1071 | isl_seq_combine(dst: right->row[i], m1: a, src1: right->row[i], |
| 1072 | m2: b, src2: right->row[row], len: right->n_col); |
| 1073 | } |
| 1074 | } |
| 1075 | isl_int_clear(b); |
| 1076 | |
| 1077 | isl_int_set(a, left->row[0][0]); |
| 1078 | for (row = 1; row < left->n_row; ++row) |
| 1079 | isl_int_lcm(a, a, left->row[row][row]); |
| 1080 | if (isl_int_is_zero(a)){ |
| 1081 | isl_int_clear(a); |
| 1082 | isl_assert(left->ctx, 0, goto error); |
| 1083 | } |
| 1084 | for (row = 0; row < left->n_row; ++row) { |
| 1085 | isl_int_divexact(left->row[row][row], a, left->row[row][row]); |
| 1086 | if (isl_int_is_one(left->row[row][row])) |
| 1087 | continue; |
| 1088 | isl_seq_scale(dst: right->row[row], src: right->row[row], |
| 1089 | f: left->row[row][row], len: right->n_col); |
| 1090 | } |
| 1091 | isl_int_clear(a); |
| 1092 | |
| 1093 | isl_mat_free(mat: left); |
| 1094 | return right; |
| 1095 | error: |
| 1096 | isl_mat_free(mat: left); |
| 1097 | isl_mat_free(mat: right); |
| 1098 | return NULL; |
| 1099 | } |
| 1100 | |
| 1101 | void isl_mat_col_scale(__isl_keep isl_mat *mat, unsigned col, isl_int m) |
| 1102 | { |
| 1103 | int i; |
| 1104 | |
| 1105 | for (i = 0; i < mat->n_row; ++i) |
| 1106 | isl_int_mul(mat->row[i][col], mat->row[i][col], m); |
| 1107 | } |
| 1108 | |
| 1109 | void isl_mat_col_combine(__isl_keep isl_mat *mat, unsigned dst, |
| 1110 | isl_int m1, unsigned src1, isl_int m2, unsigned src2) |
| 1111 | { |
| 1112 | int i; |
| 1113 | isl_int tmp; |
| 1114 | |
| 1115 | isl_int_init(tmp); |
| 1116 | for (i = 0; i < mat->n_row; ++i) { |
| 1117 | isl_int_mul(tmp, m1, mat->row[i][src1]); |
| 1118 | isl_int_addmul(tmp, m2, mat->row[i][src2]); |
| 1119 | isl_int_set(mat->row[i][dst], tmp); |
| 1120 | } |
| 1121 | isl_int_clear(tmp); |
| 1122 | } |
| 1123 | |
| 1124 | __isl_give isl_mat *isl_mat_right_inverse(__isl_take isl_mat *mat) |
| 1125 | { |
| 1126 | struct isl_mat *inv; |
| 1127 | int row; |
| 1128 | isl_int a, b; |
| 1129 | |
| 1130 | mat = isl_mat_cow(mat); |
| 1131 | if (!mat) |
| 1132 | return NULL; |
| 1133 | |
| 1134 | inv = isl_mat_identity(ctx: mat->ctx, n_row: mat->n_col); |
| 1135 | inv = isl_mat_cow(mat: inv); |
| 1136 | if (!inv) |
| 1137 | goto error; |
| 1138 | |
| 1139 | isl_int_init(a); |
| 1140 | isl_int_init(b); |
| 1141 | for (row = 0; row < mat->n_row; ++row) { |
| 1142 | int pivot, first, i, off; |
| 1143 | pivot = isl_seq_abs_min_non_zero(p: mat->row[row]+row, len: mat->n_col-row); |
| 1144 | if (pivot < 0) { |
| 1145 | isl_int_clear(a); |
| 1146 | isl_int_clear(b); |
| 1147 | isl_assert(mat->ctx, pivot >= 0, goto error); |
| 1148 | } |
| 1149 | pivot += row; |
| 1150 | if (pivot != row) |
| 1151 | exchange(M: mat, U: &inv, NULL, row, i: pivot, j: row); |
| 1152 | if (isl_int_is_neg(mat->row[row][row])) |
| 1153 | oppose(M: mat, U: &inv, NULL, row, col: row); |
| 1154 | first = row+1; |
| 1155 | while ((off = isl_seq_first_non_zero(p: mat->row[row]+first, |
| 1156 | len: mat->n_col-first)) != -1) { |
| 1157 | first += off; |
| 1158 | isl_int_fdiv_q(a, mat->row[row][first], |
| 1159 | mat->row[row][row]); |
| 1160 | subtract(M: mat, U: &inv, NULL, row, i: row, j: first, m: a); |
| 1161 | if (!isl_int_is_zero(mat->row[row][first])) |
| 1162 | exchange(M: mat, U: &inv, NULL, row, i: row, j: first); |
| 1163 | else |
| 1164 | ++first; |
| 1165 | } |
| 1166 | for (i = 0; i < row; ++i) { |
| 1167 | if (isl_int_is_zero(mat->row[row][i])) |
| 1168 | continue; |
| 1169 | isl_int_gcd(a, mat->row[row][row], mat->row[row][i]); |
| 1170 | isl_int_divexact(b, mat->row[row][i], a); |
| 1171 | isl_int_divexact(a, mat->row[row][row], a); |
| 1172 | isl_int_neg(a, a); |
| 1173 | isl_mat_col_combine(mat, dst: i, m1: a, src1: i, m2: b, src2: row); |
| 1174 | isl_mat_col_combine(mat: inv, dst: i, m1: a, src1: i, m2: b, src2: row); |
| 1175 | } |
| 1176 | } |
| 1177 | isl_int_clear(b); |
| 1178 | |
| 1179 | isl_int_set(a, mat->row[0][0]); |
| 1180 | for (row = 1; row < mat->n_row; ++row) |
| 1181 | isl_int_lcm(a, a, mat->row[row][row]); |
| 1182 | if (isl_int_is_zero(a)){ |
| 1183 | isl_int_clear(a); |
| 1184 | goto error; |
| 1185 | } |
| 1186 | for (row = 0; row < mat->n_row; ++row) { |
| 1187 | isl_int_divexact(mat->row[row][row], a, mat->row[row][row]); |
| 1188 | if (isl_int_is_one(mat->row[row][row])) |
| 1189 | continue; |
| 1190 | isl_mat_col_scale(mat: inv, col: row, m: mat->row[row][row]); |
| 1191 | } |
| 1192 | isl_int_clear(a); |
| 1193 | |
| 1194 | isl_mat_free(mat); |
| 1195 | |
| 1196 | return inv; |
| 1197 | error: |
| 1198 | isl_mat_free(mat); |
| 1199 | isl_mat_free(mat: inv); |
| 1200 | return NULL; |
| 1201 | } |
| 1202 | |
| 1203 | __isl_give isl_mat *isl_mat_transpose(__isl_take isl_mat *mat) |
| 1204 | { |
| 1205 | struct isl_mat *transpose = NULL; |
| 1206 | int i, j; |
| 1207 | |
| 1208 | if (!mat) |
| 1209 | return NULL; |
| 1210 | |
| 1211 | if (mat->n_col == mat->n_row) { |
| 1212 | mat = isl_mat_cow(mat); |
| 1213 | if (!mat) |
| 1214 | return NULL; |
| 1215 | for (i = 0; i < mat->n_row; ++i) |
| 1216 | for (j = i + 1; j < mat->n_col; ++j) |
| 1217 | isl_int_swap(mat->row[i][j], mat->row[j][i]); |
| 1218 | return mat; |
| 1219 | } |
| 1220 | transpose = isl_mat_alloc(ctx: mat->ctx, n_row: mat->n_col, n_col: mat->n_row); |
| 1221 | if (!transpose) |
| 1222 | goto error; |
| 1223 | for (i = 0; i < mat->n_row; ++i) |
| 1224 | for (j = 0; j < mat->n_col; ++j) |
| 1225 | isl_int_set(transpose->row[j][i], mat->row[i][j]); |
| 1226 | isl_mat_free(mat); |
| 1227 | return transpose; |
| 1228 | error: |
| 1229 | isl_mat_free(mat); |
| 1230 | return NULL; |
| 1231 | } |
| 1232 | |
| 1233 | __isl_give isl_mat *isl_mat_swap_cols(__isl_take isl_mat *mat, |
| 1234 | unsigned i, unsigned j) |
| 1235 | { |
| 1236 | int r; |
| 1237 | |
| 1238 | mat = isl_mat_cow(mat); |
| 1239 | if (check_col_range(mat, first: i, n: 1) < 0 || |
| 1240 | check_col_range(mat, first: j, n: 1) < 0) |
| 1241 | return isl_mat_free(mat); |
| 1242 | |
| 1243 | for (r = 0; r < mat->n_row; ++r) |
| 1244 | isl_int_swap(mat->row[r][i], mat->row[r][j]); |
| 1245 | return mat; |
| 1246 | } |
| 1247 | |
| 1248 | __isl_give isl_mat *isl_mat_swap_rows(__isl_take isl_mat *mat, |
| 1249 | unsigned i, unsigned j) |
| 1250 | { |
| 1251 | isl_int *t; |
| 1252 | |
| 1253 | if (!mat) |
| 1254 | return NULL; |
| 1255 | mat = isl_mat_cow(mat); |
| 1256 | if (check_row_range(mat, first: i, n: 1) < 0 || |
| 1257 | check_row_range(mat, first: j, n: 1) < 0) |
| 1258 | return isl_mat_free(mat); |
| 1259 | |
| 1260 | t = mat->row[i]; |
| 1261 | mat->row[i] = mat->row[j]; |
| 1262 | mat->row[j] = t; |
| 1263 | return mat; |
| 1264 | } |
| 1265 | |
| 1266 | /* Calculate the product of two matrices. |
| 1267 | * |
| 1268 | * This function is optimized for operand matrices that contain many zeros and |
| 1269 | * skips multiplications where we know one of the operands is zero. |
| 1270 | */ |
| 1271 | __isl_give isl_mat *isl_mat_product(__isl_take isl_mat *left, |
| 1272 | __isl_take isl_mat *right) |
| 1273 | { |
| 1274 | int i, j, k; |
| 1275 | struct isl_mat *prod; |
| 1276 | |
| 1277 | if (!left || !right) |
| 1278 | goto error; |
| 1279 | isl_assert(left->ctx, left->n_col == right->n_row, goto error); |
| 1280 | prod = isl_mat_alloc(ctx: left->ctx, n_row: left->n_row, n_col: right->n_col); |
| 1281 | if (!prod) |
| 1282 | goto error; |
| 1283 | if (left->n_col == 0) { |
| 1284 | for (i = 0; i < prod->n_row; ++i) |
| 1285 | isl_seq_clr(p: prod->row[i], len: prod->n_col); |
| 1286 | isl_mat_free(mat: left); |
| 1287 | isl_mat_free(mat: right); |
| 1288 | return prod; |
| 1289 | } |
| 1290 | for (i = 0; i < prod->n_row; ++i) { |
| 1291 | for (j = 0; j < prod->n_col; ++j) |
| 1292 | isl_int_mul(prod->row[i][j], |
| 1293 | left->row[i][0], right->row[0][j]); |
| 1294 | for (k = 1; k < left->n_col; ++k) { |
| 1295 | if (isl_int_is_zero(left->row[i][k])) |
| 1296 | continue; |
| 1297 | for (j = 0; j < prod->n_col; ++j) |
| 1298 | isl_int_addmul(prod->row[i][j], |
| 1299 | left->row[i][k], right->row[k][j]); |
| 1300 | } |
| 1301 | } |
| 1302 | isl_mat_free(mat: left); |
| 1303 | isl_mat_free(mat: right); |
| 1304 | return prod; |
| 1305 | error: |
| 1306 | isl_mat_free(mat: left); |
| 1307 | isl_mat_free(mat: right); |
| 1308 | return NULL; |
| 1309 | } |
| 1310 | |
| 1311 | /* Replace the variables x in the rows q by x' given by x = M x', |
| 1312 | * with M the matrix mat. |
| 1313 | * |
| 1314 | * If the number of new variables is greater than the original |
| 1315 | * number of variables, then the rows q have already been |
| 1316 | * preextended. If the new number is smaller, then the coefficients |
| 1317 | * of the divs, which are not changed, need to be shifted down. |
| 1318 | * The row q may be the equalities, the inequalities or the |
| 1319 | * div expressions. In the latter case, has_div is true and |
| 1320 | * we need to take into account the extra denominator column. |
| 1321 | */ |
| 1322 | static int preimage(struct isl_ctx *ctx, isl_int **q, unsigned n, |
| 1323 | unsigned n_div, int has_div, struct isl_mat *mat) |
| 1324 | { |
| 1325 | int i; |
| 1326 | struct isl_mat *t; |
| 1327 | int e; |
| 1328 | |
| 1329 | if (mat->n_col >= mat->n_row) |
| 1330 | e = 0; |
| 1331 | else |
| 1332 | e = mat->n_row - mat->n_col; |
| 1333 | if (has_div) |
| 1334 | for (i = 0; i < n; ++i) |
| 1335 | isl_int_mul(q[i][0], q[i][0], mat->row[0][0]); |
| 1336 | t = isl_mat_sub_alloc6(ctx: mat->ctx, row: q, first_row: 0, n_row: n, first_col: has_div, n_col: mat->n_row); |
| 1337 | t = isl_mat_product(left: t, right: mat); |
| 1338 | if (!t) |
| 1339 | return -1; |
| 1340 | for (i = 0; i < n; ++i) { |
| 1341 | isl_seq_swp_or_cpy(dst: q[i] + has_div, src: t->row[i], len: t->n_col); |
| 1342 | isl_seq_cpy(dst: q[i] + has_div + t->n_col, |
| 1343 | src: q[i] + has_div + t->n_col + e, len: n_div); |
| 1344 | isl_seq_clr(p: q[i] + has_div + t->n_col + n_div, len: e); |
| 1345 | } |
| 1346 | isl_mat_free(mat: t); |
| 1347 | return 0; |
| 1348 | } |
| 1349 | |
| 1350 | /* Replace the variables x in bset by x' given by x = M x', with |
| 1351 | * M the matrix mat. |
| 1352 | * |
| 1353 | * If there are fewer variables x' then there are x, then we perform |
| 1354 | * the transformation in place, which means that, in principle, |
| 1355 | * this frees up some extra variables as the number |
| 1356 | * of columns remains constant, but we would have to extend |
| 1357 | * the div array too as the number of rows in this array is assumed |
| 1358 | * to be equal to extra. |
| 1359 | */ |
| 1360 | __isl_give isl_basic_set *isl_basic_set_preimage( |
| 1361 | __isl_take isl_basic_set *bset, __isl_take isl_mat *mat) |
| 1362 | { |
| 1363 | struct isl_ctx *ctx; |
| 1364 | |
| 1365 | if (!bset || !mat) |
| 1366 | goto error; |
| 1367 | |
| 1368 | ctx = bset->ctx; |
| 1369 | bset = isl_basic_set_cow(bset); |
| 1370 | if (isl_basic_set_check_no_params(bset) < 0) |
| 1371 | goto error; |
| 1372 | |
| 1373 | isl_assert(ctx, 1+bset->dim->n_out == mat->n_row, goto error); |
| 1374 | isl_assert(ctx, mat->n_col > 0, goto error); |
| 1375 | |
| 1376 | if (mat->n_col > mat->n_row) { |
| 1377 | bset = isl_basic_set_add_dims(bset, type: isl_dim_set, |
| 1378 | n: mat->n_col - mat->n_row); |
| 1379 | if (!bset) |
| 1380 | goto error; |
| 1381 | } else if (mat->n_col < mat->n_row) { |
| 1382 | bset->dim = isl_space_cow(space: bset->dim); |
| 1383 | if (!bset->dim) |
| 1384 | goto error; |
| 1385 | bset->dim->n_out -= mat->n_row - mat->n_col; |
| 1386 | } |
| 1387 | |
| 1388 | if (preimage(ctx, q: bset->eq, n: bset->n_eq, n_div: bset->n_div, has_div: 0, |
| 1389 | mat: isl_mat_copy(mat)) < 0) |
| 1390 | goto error; |
| 1391 | |
| 1392 | if (preimage(ctx, q: bset->ineq, n: bset->n_ineq, n_div: bset->n_div, has_div: 0, |
| 1393 | mat: isl_mat_copy(mat)) < 0) |
| 1394 | goto error; |
| 1395 | |
| 1396 | if (preimage(ctx, q: bset->div, n: bset->n_div, n_div: bset->n_div, has_div: 1, mat) < 0) |
| 1397 | goto error2; |
| 1398 | |
| 1399 | ISL_F_CLR(bset, ISL_BASIC_SET_NO_IMPLICIT); |
| 1400 | ISL_F_CLR(bset, ISL_BASIC_SET_NO_REDUNDANT); |
| 1401 | ISL_F_CLR(bset, ISL_BASIC_SET_SORTED); |
| 1402 | ISL_F_CLR(bset, ISL_BASIC_SET_NORMALIZED_DIVS); |
| 1403 | ISL_F_CLR(bset, ISL_BASIC_SET_ALL_EQUALITIES); |
| 1404 | |
| 1405 | bset = isl_basic_set_simplify(bset); |
| 1406 | bset = isl_basic_set_finalize(bset); |
| 1407 | |
| 1408 | return bset; |
| 1409 | error: |
| 1410 | isl_mat_free(mat); |
| 1411 | error2: |
| 1412 | isl_basic_set_free(bset); |
| 1413 | return NULL; |
| 1414 | } |
| 1415 | |
| 1416 | __isl_give isl_set *isl_set_preimage( |
| 1417 | __isl_take isl_set *set, __isl_take isl_mat *mat) |
| 1418 | { |
| 1419 | int i; |
| 1420 | |
| 1421 | set = isl_set_cow(set); |
| 1422 | if (!set) |
| 1423 | goto error; |
| 1424 | |
| 1425 | for (i = 0; i < set->n; ++i) { |
| 1426 | set->p[i] = isl_basic_set_preimage(bset: set->p[i], |
| 1427 | mat: isl_mat_copy(mat)); |
| 1428 | if (!set->p[i]) |
| 1429 | goto error; |
| 1430 | } |
| 1431 | if (mat->n_col != mat->n_row) { |
| 1432 | set->dim = isl_space_cow(space: set->dim); |
| 1433 | if (!set->dim) |
| 1434 | goto error; |
| 1435 | set->dim->n_out += mat->n_col; |
| 1436 | set->dim->n_out -= mat->n_row; |
| 1437 | } |
| 1438 | isl_mat_free(mat); |
| 1439 | ISL_F_CLR(set, ISL_SET_NORMALIZED); |
| 1440 | return set; |
| 1441 | error: |
| 1442 | isl_set_free(set); |
| 1443 | isl_mat_free(mat); |
| 1444 | return NULL; |
| 1445 | } |
| 1446 | |
| 1447 | /* Replace the variables x starting at "first_col" in the rows "rows" |
| 1448 | * of some coefficient matrix by x' with x = M x' with M the matrix mat. |
| 1449 | * That is, replace the corresponding coefficients c by c M. |
| 1450 | */ |
| 1451 | isl_stat isl_mat_sub_transform(isl_int **row, unsigned n_row, |
| 1452 | unsigned first_col, __isl_take isl_mat *mat) |
| 1453 | { |
| 1454 | int i; |
| 1455 | isl_ctx *ctx; |
| 1456 | isl_mat *t; |
| 1457 | |
| 1458 | if (!mat) |
| 1459 | return isl_stat_error; |
| 1460 | ctx = isl_mat_get_ctx(mat); |
| 1461 | t = isl_mat_sub_alloc6(ctx, row, first_row: 0, n_row, first_col, n_col: mat->n_row); |
| 1462 | t = isl_mat_product(left: t, right: mat); |
| 1463 | if (!t) |
| 1464 | return isl_stat_error; |
| 1465 | for (i = 0; i < n_row; ++i) |
| 1466 | isl_seq_swp_or_cpy(dst: row[i] + first_col, src: t->row[i], len: t->n_col); |
| 1467 | isl_mat_free(mat: t); |
| 1468 | return isl_stat_ok; |
| 1469 | } |
| 1470 | |
| 1471 | void isl_mat_print_internal(__isl_keep isl_mat *mat, FILE *out, int indent) |
| 1472 | { |
| 1473 | int i, j; |
| 1474 | |
| 1475 | if (!mat) { |
| 1476 | fprintf(stream: out, format: "%*snull mat\n" , indent, "" ); |
| 1477 | return; |
| 1478 | } |
| 1479 | |
| 1480 | if (mat->n_row == 0) |
| 1481 | fprintf(stream: out, format: "%*s[]\n" , indent, "" ); |
| 1482 | |
| 1483 | for (i = 0; i < mat->n_row; ++i) { |
| 1484 | if (!i) |
| 1485 | fprintf(stream: out, format: "%*s[[" , indent, "" ); |
| 1486 | else |
| 1487 | fprintf(stream: out, format: "%*s[" , indent+1, "" ); |
| 1488 | for (j = 0; j < mat->n_col; ++j) { |
| 1489 | if (j) |
| 1490 | fprintf(stream: out, format: "," ); |
| 1491 | isl_int_print(out, mat->row[i][j], 0); |
| 1492 | } |
| 1493 | if (i == mat->n_row-1) |
| 1494 | fprintf(stream: out, format: "]]\n" ); |
| 1495 | else |
| 1496 | fprintf(stream: out, format: "]\n" ); |
| 1497 | } |
| 1498 | } |
| 1499 | |
| 1500 | void isl_mat_dump(__isl_keep isl_mat *mat) |
| 1501 | { |
| 1502 | isl_mat_print_internal(mat, stderr, indent: 0); |
| 1503 | } |
| 1504 | |
| 1505 | __isl_give isl_mat *isl_mat_drop_cols(__isl_take isl_mat *mat, |
| 1506 | unsigned col, unsigned n) |
| 1507 | { |
| 1508 | int r; |
| 1509 | |
| 1510 | if (n == 0) |
| 1511 | return mat; |
| 1512 | |
| 1513 | mat = isl_mat_cow(mat); |
| 1514 | if (check_col_range(mat, first: col, n) < 0) |
| 1515 | return isl_mat_free(mat); |
| 1516 | |
| 1517 | if (col != mat->n_col-n) { |
| 1518 | for (r = 0; r < mat->n_row; ++r) |
| 1519 | isl_seq_cpy(dst: mat->row[r]+col, src: mat->row[r]+col+n, |
| 1520 | len: mat->n_col - col - n); |
| 1521 | } |
| 1522 | mat->n_col -= n; |
| 1523 | return mat; |
| 1524 | } |
| 1525 | |
| 1526 | __isl_give isl_mat *isl_mat_drop_rows(__isl_take isl_mat *mat, |
| 1527 | unsigned row, unsigned n) |
| 1528 | { |
| 1529 | int r; |
| 1530 | |
| 1531 | mat = isl_mat_cow(mat); |
| 1532 | if (check_row_range(mat, first: row, n) < 0) |
| 1533 | return isl_mat_free(mat); |
| 1534 | |
| 1535 | for (r = row; r+n < mat->n_row; ++r) |
| 1536 | mat->row[r] = mat->row[r+n]; |
| 1537 | |
| 1538 | mat->n_row -= n; |
| 1539 | return mat; |
| 1540 | } |
| 1541 | |
| 1542 | __isl_give isl_mat *isl_mat_insert_cols(__isl_take isl_mat *mat, |
| 1543 | unsigned col, unsigned n) |
| 1544 | { |
| 1545 | isl_mat *ext; |
| 1546 | |
| 1547 | if (check_col_range(mat, first: col, n: 0) < 0) |
| 1548 | return isl_mat_free(mat); |
| 1549 | if (n == 0) |
| 1550 | return mat; |
| 1551 | |
| 1552 | ext = isl_mat_alloc(ctx: mat->ctx, n_row: mat->n_row, n_col: mat->n_col + n); |
| 1553 | if (!ext) |
| 1554 | goto error; |
| 1555 | |
| 1556 | isl_mat_sub_copy(ctx: mat->ctx, dst: ext->row, src: mat->row, n_row: mat->n_row, dst_col: 0, src_col: 0, n_col: col); |
| 1557 | isl_mat_sub_copy(ctx: mat->ctx, dst: ext->row, src: mat->row, n_row: mat->n_row, |
| 1558 | dst_col: col + n, src_col: col, n_col: mat->n_col - col); |
| 1559 | |
| 1560 | isl_mat_free(mat); |
| 1561 | return ext; |
| 1562 | error: |
| 1563 | isl_mat_free(mat); |
| 1564 | return NULL; |
| 1565 | } |
| 1566 | |
| 1567 | __isl_give isl_mat *isl_mat_insert_zero_cols(__isl_take isl_mat *mat, |
| 1568 | unsigned first, unsigned n) |
| 1569 | { |
| 1570 | int i; |
| 1571 | |
| 1572 | if (!mat) |
| 1573 | return NULL; |
| 1574 | mat = isl_mat_insert_cols(mat, col: first, n); |
| 1575 | if (!mat) |
| 1576 | return NULL; |
| 1577 | |
| 1578 | for (i = 0; i < mat->n_row; ++i) |
| 1579 | isl_seq_clr(p: mat->row[i] + first, len: n); |
| 1580 | |
| 1581 | return mat; |
| 1582 | } |
| 1583 | |
| 1584 | __isl_give isl_mat *isl_mat_add_zero_cols(__isl_take isl_mat *mat, unsigned n) |
| 1585 | { |
| 1586 | if (!mat) |
| 1587 | return NULL; |
| 1588 | |
| 1589 | return isl_mat_insert_zero_cols(mat, first: mat->n_col, n); |
| 1590 | } |
| 1591 | |
| 1592 | __isl_give isl_mat *isl_mat_insert_rows(__isl_take isl_mat *mat, |
| 1593 | unsigned row, unsigned n) |
| 1594 | { |
| 1595 | isl_mat *ext; |
| 1596 | |
| 1597 | if (check_row_range(mat, first: row, n: 0) < 0) |
| 1598 | return isl_mat_free(mat); |
| 1599 | if (n == 0) |
| 1600 | return mat; |
| 1601 | |
| 1602 | ext = isl_mat_alloc(ctx: mat->ctx, n_row: mat->n_row + n, n_col: mat->n_col); |
| 1603 | if (!ext) |
| 1604 | goto error; |
| 1605 | |
| 1606 | isl_mat_sub_copy(ctx: mat->ctx, dst: ext->row, src: mat->row, n_row: row, dst_col: 0, src_col: 0, n_col: mat->n_col); |
| 1607 | isl_mat_sub_copy(ctx: mat->ctx, dst: ext->row + row + n, src: mat->row + row, |
| 1608 | n_row: mat->n_row - row, dst_col: 0, src_col: 0, n_col: mat->n_col); |
| 1609 | |
| 1610 | isl_mat_free(mat); |
| 1611 | return ext; |
| 1612 | error: |
| 1613 | isl_mat_free(mat); |
| 1614 | return NULL; |
| 1615 | } |
| 1616 | |
| 1617 | __isl_give isl_mat *isl_mat_add_rows(__isl_take isl_mat *mat, unsigned n) |
| 1618 | { |
| 1619 | if (!mat) |
| 1620 | return NULL; |
| 1621 | |
| 1622 | return isl_mat_insert_rows(mat, row: mat->n_row, n); |
| 1623 | } |
| 1624 | |
| 1625 | __isl_give isl_mat *isl_mat_insert_zero_rows(__isl_take isl_mat *mat, |
| 1626 | unsigned row, unsigned n) |
| 1627 | { |
| 1628 | int i; |
| 1629 | |
| 1630 | mat = isl_mat_insert_rows(mat, row, n); |
| 1631 | if (!mat) |
| 1632 | return NULL; |
| 1633 | |
| 1634 | for (i = 0; i < n; ++i) |
| 1635 | isl_seq_clr(p: mat->row[row + i], len: mat->n_col); |
| 1636 | |
| 1637 | return mat; |
| 1638 | } |
| 1639 | |
| 1640 | __isl_give isl_mat *isl_mat_add_zero_rows(__isl_take isl_mat *mat, unsigned n) |
| 1641 | { |
| 1642 | if (!mat) |
| 1643 | return NULL; |
| 1644 | |
| 1645 | return isl_mat_insert_zero_rows(mat, row: mat->n_row, n); |
| 1646 | } |
| 1647 | |
| 1648 | void isl_mat_col_submul(__isl_keep isl_mat *mat, |
| 1649 | int dst_col, isl_int f, int src_col) |
| 1650 | { |
| 1651 | int i; |
| 1652 | |
| 1653 | for (i = 0; i < mat->n_row; ++i) |
| 1654 | isl_int_submul(mat->row[i][dst_col], f, mat->row[i][src_col]); |
| 1655 | } |
| 1656 | |
| 1657 | void isl_mat_col_add(__isl_keep isl_mat *mat, int dst_col, int src_col) |
| 1658 | { |
| 1659 | int i; |
| 1660 | |
| 1661 | if (!mat) |
| 1662 | return; |
| 1663 | |
| 1664 | for (i = 0; i < mat->n_row; ++i) |
| 1665 | isl_int_add(mat->row[i][dst_col], |
| 1666 | mat->row[i][dst_col], mat->row[i][src_col]); |
| 1667 | } |
| 1668 | |
| 1669 | void isl_mat_col_mul(__isl_keep isl_mat *mat, int dst_col, isl_int f, |
| 1670 | int src_col) |
| 1671 | { |
| 1672 | int i; |
| 1673 | |
| 1674 | for (i = 0; i < mat->n_row; ++i) |
| 1675 | isl_int_mul(mat->row[i][dst_col], f, mat->row[i][src_col]); |
| 1676 | } |
| 1677 | |
| 1678 | /* Add "f" times column "src_col" to column "dst_col" of "mat" and |
| 1679 | * return the result. |
| 1680 | */ |
| 1681 | __isl_give isl_mat *isl_mat_col_addmul(__isl_take isl_mat *mat, int dst_col, |
| 1682 | isl_int f, int src_col) |
| 1683 | { |
| 1684 | int i; |
| 1685 | |
| 1686 | if (check_col(mat, col: dst_col) < 0 || check_col(mat, col: src_col) < 0) |
| 1687 | return isl_mat_free(mat); |
| 1688 | |
| 1689 | for (i = 0; i < mat->n_row; ++i) { |
| 1690 | if (isl_int_is_zero(mat->row[i][src_col])) |
| 1691 | continue; |
| 1692 | mat = isl_mat_cow(mat); |
| 1693 | if (!mat) |
| 1694 | return NULL; |
| 1695 | isl_int_addmul(mat->row[i][dst_col], f, mat->row[i][src_col]); |
| 1696 | } |
| 1697 | |
| 1698 | return mat; |
| 1699 | } |
| 1700 | |
| 1701 | /* Negate column "col" of "mat" and return the result. |
| 1702 | */ |
| 1703 | __isl_give isl_mat *isl_mat_col_neg(__isl_take isl_mat *mat, int col) |
| 1704 | { |
| 1705 | int i; |
| 1706 | |
| 1707 | if (check_col(mat, col) < 0) |
| 1708 | return isl_mat_free(mat); |
| 1709 | |
| 1710 | for (i = 0; i < mat->n_row; ++i) { |
| 1711 | if (isl_int_is_zero(mat->row[i][col])) |
| 1712 | continue; |
| 1713 | mat = isl_mat_cow(mat); |
| 1714 | if (!mat) |
| 1715 | return NULL; |
| 1716 | isl_int_neg(mat->row[i][col], mat->row[i][col]); |
| 1717 | } |
| 1718 | |
| 1719 | return mat; |
| 1720 | } |
| 1721 | |
| 1722 | /* Negate row "row" of "mat" and return the result. |
| 1723 | */ |
| 1724 | __isl_give isl_mat *isl_mat_row_neg(__isl_take isl_mat *mat, int row) |
| 1725 | { |
| 1726 | if (check_row(mat, row) < 0) |
| 1727 | return isl_mat_free(mat); |
| 1728 | if (isl_seq_first_non_zero(p: mat->row[row], len: mat->n_col) == -1) |
| 1729 | return mat; |
| 1730 | mat = isl_mat_cow(mat); |
| 1731 | if (!mat) |
| 1732 | return NULL; |
| 1733 | isl_seq_neg(dst: mat->row[row], src: mat->row[row], len: mat->n_col); |
| 1734 | return mat; |
| 1735 | } |
| 1736 | |
| 1737 | __isl_give isl_mat *isl_mat_unimodular_complete(__isl_take isl_mat *M, int row) |
| 1738 | { |
| 1739 | int r; |
| 1740 | struct isl_mat *H = NULL, *Q = NULL; |
| 1741 | |
| 1742 | if (!M) |
| 1743 | return NULL; |
| 1744 | |
| 1745 | isl_assert(M->ctx, M->n_row == M->n_col, goto error); |
| 1746 | M->n_row = row; |
| 1747 | H = isl_mat_left_hermite(M: isl_mat_copy(mat: M), neg: 0, NULL, Q: &Q); |
| 1748 | M->n_row = M->n_col; |
| 1749 | if (!H) |
| 1750 | goto error; |
| 1751 | for (r = 0; r < row; ++r) |
| 1752 | isl_assert(M->ctx, isl_int_is_one(H->row[r][r]), goto error); |
| 1753 | for (r = row; r < M->n_row; ++r) |
| 1754 | isl_seq_cpy(dst: M->row[r], src: Q->row[r], len: M->n_col); |
| 1755 | isl_mat_free(mat: H); |
| 1756 | isl_mat_free(mat: Q); |
| 1757 | return M; |
| 1758 | error: |
| 1759 | isl_mat_free(mat: H); |
| 1760 | isl_mat_free(mat: Q); |
| 1761 | isl_mat_free(mat: M); |
| 1762 | return NULL; |
| 1763 | } |
| 1764 | |
| 1765 | __isl_give isl_mat *isl_mat_concat(__isl_take isl_mat *top, |
| 1766 | __isl_take isl_mat *bot) |
| 1767 | { |
| 1768 | struct isl_mat *mat; |
| 1769 | |
| 1770 | if (!top || !bot) |
| 1771 | goto error; |
| 1772 | |
| 1773 | isl_assert(top->ctx, top->n_col == bot->n_col, goto error); |
| 1774 | if (top->n_row == 0) { |
| 1775 | isl_mat_free(mat: top); |
| 1776 | return bot; |
| 1777 | } |
| 1778 | if (bot->n_row == 0) { |
| 1779 | isl_mat_free(mat: bot); |
| 1780 | return top; |
| 1781 | } |
| 1782 | |
| 1783 | mat = isl_mat_alloc(ctx: top->ctx, n_row: top->n_row + bot->n_row, n_col: top->n_col); |
| 1784 | if (!mat) |
| 1785 | goto error; |
| 1786 | isl_mat_sub_copy(ctx: mat->ctx, dst: mat->row, src: top->row, n_row: top->n_row, |
| 1787 | dst_col: 0, src_col: 0, n_col: mat->n_col); |
| 1788 | isl_mat_sub_copy(ctx: mat->ctx, dst: mat->row + top->n_row, src: bot->row, n_row: bot->n_row, |
| 1789 | dst_col: 0, src_col: 0, n_col: mat->n_col); |
| 1790 | isl_mat_free(mat: top); |
| 1791 | isl_mat_free(mat: bot); |
| 1792 | return mat; |
| 1793 | error: |
| 1794 | isl_mat_free(mat: top); |
| 1795 | isl_mat_free(mat: bot); |
| 1796 | return NULL; |
| 1797 | } |
| 1798 | |
| 1799 | isl_bool isl_mat_is_equal(__isl_keep isl_mat *mat1, __isl_keep isl_mat *mat2) |
| 1800 | { |
| 1801 | int i; |
| 1802 | |
| 1803 | if (!mat1 || !mat2) |
| 1804 | return isl_bool_error; |
| 1805 | |
| 1806 | if (mat1->n_row != mat2->n_row) |
| 1807 | return isl_bool_false; |
| 1808 | |
| 1809 | if (mat1->n_col != mat2->n_col) |
| 1810 | return isl_bool_false; |
| 1811 | |
| 1812 | for (i = 0; i < mat1->n_row; ++i) |
| 1813 | if (!isl_seq_eq(p1: mat1->row[i], p2: mat2->row[i], len: mat1->n_col)) |
| 1814 | return isl_bool_false; |
| 1815 | |
| 1816 | return isl_bool_true; |
| 1817 | } |
| 1818 | |
| 1819 | __isl_give isl_mat *isl_mat_from_row_vec(__isl_take isl_vec *vec) |
| 1820 | { |
| 1821 | struct isl_mat *mat; |
| 1822 | |
| 1823 | if (!vec) |
| 1824 | return NULL; |
| 1825 | mat = isl_mat_alloc(ctx: vec->ctx, n_row: 1, n_col: vec->size); |
| 1826 | if (!mat) |
| 1827 | goto error; |
| 1828 | |
| 1829 | isl_seq_cpy(dst: mat->row[0], src: vec->el, len: vec->size); |
| 1830 | |
| 1831 | isl_vec_free(vec); |
| 1832 | return mat; |
| 1833 | error: |
| 1834 | isl_vec_free(vec); |
| 1835 | return NULL; |
| 1836 | } |
| 1837 | |
| 1838 | /* Return a copy of row "row" of "mat" as an isl_vec. |
| 1839 | */ |
| 1840 | __isl_give isl_vec *isl_mat_get_row(__isl_keep isl_mat *mat, unsigned row) |
| 1841 | { |
| 1842 | isl_vec *v; |
| 1843 | |
| 1844 | if (!mat) |
| 1845 | return NULL; |
| 1846 | if (row >= mat->n_row) |
| 1847 | isl_die(mat->ctx, isl_error_invalid, "row out of range" , |
| 1848 | return NULL); |
| 1849 | |
| 1850 | v = isl_vec_alloc(ctx: isl_mat_get_ctx(mat), size: mat->n_col); |
| 1851 | if (!v) |
| 1852 | return NULL; |
| 1853 | isl_seq_cpy(dst: v->el, src: mat->row[row], len: mat->n_col); |
| 1854 | |
| 1855 | return v; |
| 1856 | } |
| 1857 | |
| 1858 | __isl_give isl_mat *isl_mat_vec_concat(__isl_take isl_mat *top, |
| 1859 | __isl_take isl_vec *bot) |
| 1860 | { |
| 1861 | return isl_mat_concat(top, bot: isl_mat_from_row_vec(vec: bot)); |
| 1862 | } |
| 1863 | |
| 1864 | __isl_give isl_mat *isl_mat_move_cols(__isl_take isl_mat *mat, |
| 1865 | unsigned dst_col, unsigned src_col, unsigned n) |
| 1866 | { |
| 1867 | isl_mat *res; |
| 1868 | |
| 1869 | if (!mat) |
| 1870 | return NULL; |
| 1871 | if (n == 0 || dst_col == src_col) |
| 1872 | return mat; |
| 1873 | |
| 1874 | res = isl_mat_alloc(ctx: mat->ctx, n_row: mat->n_row, n_col: mat->n_col); |
| 1875 | if (!res) |
| 1876 | goto error; |
| 1877 | |
| 1878 | if (dst_col < src_col) { |
| 1879 | isl_mat_sub_copy(ctx: res->ctx, dst: res->row, src: mat->row, n_row: mat->n_row, |
| 1880 | dst_col: 0, src_col: 0, n_col: dst_col); |
| 1881 | isl_mat_sub_copy(ctx: res->ctx, dst: res->row, src: mat->row, n_row: mat->n_row, |
| 1882 | dst_col, src_col, n_col: n); |
| 1883 | isl_mat_sub_copy(ctx: res->ctx, dst: res->row, src: mat->row, n_row: mat->n_row, |
| 1884 | dst_col: dst_col + n, src_col: dst_col, n_col: src_col - dst_col); |
| 1885 | isl_mat_sub_copy(ctx: res->ctx, dst: res->row, src: mat->row, n_row: mat->n_row, |
| 1886 | dst_col: src_col + n, src_col: src_col + n, |
| 1887 | n_col: res->n_col - src_col - n); |
| 1888 | } else { |
| 1889 | isl_mat_sub_copy(ctx: res->ctx, dst: res->row, src: mat->row, n_row: mat->n_row, |
| 1890 | dst_col: 0, src_col: 0, n_col: src_col); |
| 1891 | isl_mat_sub_copy(ctx: res->ctx, dst: res->row, src: mat->row, n_row: mat->n_row, |
| 1892 | dst_col: src_col, src_col: src_col + n, n_col: dst_col - src_col); |
| 1893 | isl_mat_sub_copy(ctx: res->ctx, dst: res->row, src: mat->row, n_row: mat->n_row, |
| 1894 | dst_col, src_col, n_col: n); |
| 1895 | isl_mat_sub_copy(ctx: res->ctx, dst: res->row, src: mat->row, n_row: mat->n_row, |
| 1896 | dst_col: dst_col + n, src_col: dst_col + n, |
| 1897 | n_col: res->n_col - dst_col - n); |
| 1898 | } |
| 1899 | isl_mat_free(mat); |
| 1900 | |
| 1901 | return res; |
| 1902 | error: |
| 1903 | isl_mat_free(mat); |
| 1904 | return NULL; |
| 1905 | } |
| 1906 | |
| 1907 | /* Return the gcd of the elements in row "row" of "mat" in *gcd. |
| 1908 | * Return isl_stat_ok on success and isl_stat_error on failure. |
| 1909 | */ |
| 1910 | isl_stat isl_mat_row_gcd(__isl_keep isl_mat *mat, int row, isl_int *gcd) |
| 1911 | { |
| 1912 | if (check_row(mat, row) < 0) |
| 1913 | return isl_stat_error; |
| 1914 | |
| 1915 | isl_seq_gcd(p: mat->row[row], len: mat->n_col, gcd); |
| 1916 | |
| 1917 | return isl_stat_ok; |
| 1918 | } |
| 1919 | |
| 1920 | void isl_mat_gcd(__isl_keep isl_mat *mat, isl_int *gcd) |
| 1921 | { |
| 1922 | int i; |
| 1923 | isl_int g; |
| 1924 | |
| 1925 | isl_int_set_si(*gcd, 0); |
| 1926 | if (!mat) |
| 1927 | return; |
| 1928 | |
| 1929 | isl_int_init(g); |
| 1930 | for (i = 0; i < mat->n_row; ++i) { |
| 1931 | isl_seq_gcd(p: mat->row[i], len: mat->n_col, gcd: &g); |
| 1932 | isl_int_gcd(*gcd, *gcd, g); |
| 1933 | } |
| 1934 | isl_int_clear(g); |
| 1935 | } |
| 1936 | |
| 1937 | /* Return the result of scaling "mat" by a factor of "m". |
| 1938 | */ |
| 1939 | __isl_give isl_mat *isl_mat_scale(__isl_take isl_mat *mat, isl_int m) |
| 1940 | { |
| 1941 | int i; |
| 1942 | |
| 1943 | if (isl_int_is_one(m)) |
| 1944 | return mat; |
| 1945 | |
| 1946 | mat = isl_mat_cow(mat); |
| 1947 | if (!mat) |
| 1948 | return NULL; |
| 1949 | |
| 1950 | for (i = 0; i < mat->n_row; ++i) |
| 1951 | isl_seq_scale(dst: mat->row[i], src: mat->row[i], f: m, len: mat->n_col); |
| 1952 | |
| 1953 | return mat; |
| 1954 | } |
| 1955 | |
| 1956 | __isl_give isl_mat *isl_mat_scale_down(__isl_take isl_mat *mat, isl_int m) |
| 1957 | { |
| 1958 | int i; |
| 1959 | |
| 1960 | if (isl_int_is_one(m)) |
| 1961 | return mat; |
| 1962 | |
| 1963 | mat = isl_mat_cow(mat); |
| 1964 | if (!mat) |
| 1965 | return NULL; |
| 1966 | |
| 1967 | for (i = 0; i < mat->n_row; ++i) |
| 1968 | isl_seq_scale_down(dst: mat->row[i], src: mat->row[i], f: m, len: mat->n_col); |
| 1969 | |
| 1970 | return mat; |
| 1971 | } |
| 1972 | |
| 1973 | __isl_give isl_mat *isl_mat_scale_down_row(__isl_take isl_mat *mat, int row, |
| 1974 | isl_int m) |
| 1975 | { |
| 1976 | if (isl_int_is_one(m)) |
| 1977 | return mat; |
| 1978 | |
| 1979 | mat = isl_mat_cow(mat); |
| 1980 | if (!mat) |
| 1981 | return NULL; |
| 1982 | |
| 1983 | isl_seq_scale_down(dst: mat->row[row], src: mat->row[row], f: m, len: mat->n_col); |
| 1984 | |
| 1985 | return mat; |
| 1986 | } |
| 1987 | |
| 1988 | __isl_give isl_mat *isl_mat_normalize(__isl_take isl_mat *mat) |
| 1989 | { |
| 1990 | isl_int gcd; |
| 1991 | |
| 1992 | if (!mat) |
| 1993 | return NULL; |
| 1994 | |
| 1995 | isl_int_init(gcd); |
| 1996 | isl_mat_gcd(mat, gcd: &gcd); |
| 1997 | mat = isl_mat_scale_down(mat, m: gcd); |
| 1998 | isl_int_clear(gcd); |
| 1999 | |
| 2000 | return mat; |
| 2001 | } |
| 2002 | |
| 2003 | __isl_give isl_mat *isl_mat_normalize_row(__isl_take isl_mat *mat, int row) |
| 2004 | { |
| 2005 | mat = isl_mat_cow(mat); |
| 2006 | if (!mat) |
| 2007 | return NULL; |
| 2008 | |
| 2009 | isl_seq_normalize(ctx: mat->ctx, p: mat->row[row], len: mat->n_col); |
| 2010 | |
| 2011 | return mat; |
| 2012 | } |
| 2013 | |
| 2014 | /* Number of initial non-zero columns. |
| 2015 | */ |
| 2016 | int isl_mat_initial_non_zero_cols(__isl_keep isl_mat *mat) |
| 2017 | { |
| 2018 | int i; |
| 2019 | |
| 2020 | if (!mat) |
| 2021 | return -1; |
| 2022 | |
| 2023 | for (i = 0; i < mat->n_col; ++i) |
| 2024 | if (row_first_non_zero(row: mat->row, n_row: mat->n_row, col: i) < 0) |
| 2025 | break; |
| 2026 | |
| 2027 | return i; |
| 2028 | } |
| 2029 | |
| 2030 | /* Return a basis for the space spanned by the rows of "mat". |
| 2031 | * Any basis will do, so simply perform Gaussian elimination and |
| 2032 | * remove the empty rows. |
| 2033 | */ |
| 2034 | __isl_give isl_mat *isl_mat_row_basis(__isl_take isl_mat *mat) |
| 2035 | { |
| 2036 | return isl_mat_reverse_gauss(mat); |
| 2037 | } |
| 2038 | |
| 2039 | /* Return rows that extend a basis of "mat1" to one |
| 2040 | * that covers both "mat1" and "mat2". |
| 2041 | * The Hermite normal form of the concatenation of the two matrices is |
| 2042 | * |
| 2043 | * [ Q1 ] |
| 2044 | * [ M1 ] = [ H1 0 0 ] [ Q2 ] |
| 2045 | * [ M2 ] = [ H2 H3 0 ] [ Q3 ] |
| 2046 | * |
| 2047 | * The number of columns in H1 and H3 determine the number of rows |
| 2048 | * in Q1 and Q2. Q1 is a basis for M1, while Q2 extends this basis |
| 2049 | * to also cover M2. |
| 2050 | */ |
| 2051 | __isl_give isl_mat *isl_mat_row_basis_extension( |
| 2052 | __isl_take isl_mat *mat1, __isl_take isl_mat *mat2) |
| 2053 | { |
| 2054 | isl_size n_row; |
| 2055 | int r1, r; |
| 2056 | isl_size n1; |
| 2057 | isl_mat *H, *Q; |
| 2058 | |
| 2059 | n1 = isl_mat_rows(mat: mat1); |
| 2060 | H = isl_mat_concat(top: mat1, bot: mat2); |
| 2061 | H = isl_mat_left_hermite(M: H, neg: 0, NULL, Q: &Q); |
| 2062 | if (n1 < 0 || !H || !Q) |
| 2063 | goto error; |
| 2064 | |
| 2065 | r1 = hermite_first_zero_col(H, first_col: 0, n_row: n1); |
| 2066 | r = hermite_first_zero_col(H, first_col: r1, n_row: H->n_row); |
| 2067 | n_row = isl_mat_rows(mat: Q); |
| 2068 | if (n_row < 0) |
| 2069 | goto error; |
| 2070 | Q = isl_mat_drop_rows(mat: Q, row: r, n: n_row - r); |
| 2071 | Q = isl_mat_drop_rows(mat: Q, row: 0, n: r1); |
| 2072 | |
| 2073 | isl_mat_free(mat: H); |
| 2074 | return Q; |
| 2075 | error: |
| 2076 | isl_mat_free(mat: H); |
| 2077 | isl_mat_free(mat: Q); |
| 2078 | return NULL; |
| 2079 | } |
| 2080 | |
| 2081 | /* Are the rows of "mat1" linearly independent of those of "mat2"? |
| 2082 | * That is, is there no linear dependence among the combined rows |
| 2083 | * that is not already present in either "mat1" or "mat2"? |
| 2084 | * In other words, is the rank of "mat1" and "mat2" combined equal |
| 2085 | * to the sum of the ranks of "mat1" and "mat2"? |
| 2086 | */ |
| 2087 | isl_bool isl_mat_has_linearly_independent_rows(__isl_keep isl_mat *mat1, |
| 2088 | __isl_keep isl_mat *mat2) |
| 2089 | { |
| 2090 | isl_size r1, r2, r; |
| 2091 | isl_mat *mat; |
| 2092 | |
| 2093 | r1 = isl_mat_rank(mat: mat1); |
| 2094 | if (r1 < 0) |
| 2095 | return isl_bool_error; |
| 2096 | if (r1 == 0) |
| 2097 | return isl_bool_true; |
| 2098 | r2 = isl_mat_rank(mat: mat2); |
| 2099 | if (r2 < 0) |
| 2100 | return isl_bool_error; |
| 2101 | if (r2 == 0) |
| 2102 | return isl_bool_true; |
| 2103 | |
| 2104 | mat = isl_mat_concat(top: isl_mat_copy(mat: mat1), bot: isl_mat_copy(mat: mat2)); |
| 2105 | r = isl_mat_rank(mat); |
| 2106 | isl_mat_free(mat); |
| 2107 | if (r < 0) |
| 2108 | return isl_bool_error; |
| 2109 | return isl_bool_ok(b: r == r1 + r2); |
| 2110 | } |
| 2111 | |