Mercurial > octave-nkf
annotate liboctave/Sparse.cc @ 7948:af10baa63915 ss-3-1-50
3.1.50 snapshot
author | John W. Eaton <jwe@octave.org> |
---|---|
date | Fri, 18 Jul 2008 17:42:48 -0400 |
parents | ff918ee1a983 |
children | 283989f2da9b |
rev | line source |
---|---|
5164 | 1 // Template sparse array class |
2 /* | |
3 | |
7017 | 4 Copyright (C) 2004, 2005, 2006, 2007 David Bateman |
7016 | 5 Copyright (C) 1998, 1999, 2000, 2001, 2002, 2003, 2004 Andy Adler |
6 | |
7 This file is part of Octave. | |
5164 | 8 |
9 Octave is free software; you can redistribute it and/or modify it | |
10 under the terms of the GNU General Public License as published by the | |
7016 | 11 Free Software Foundation; either version 3 of the License, or (at your |
12 option) any later version. | |
5164 | 13 |
14 Octave is distributed in the hope that it will be useful, but WITHOUT | |
15 ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or | |
16 FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License | |
17 for more details. | |
18 | |
19 You should have received a copy of the GNU General Public License | |
7016 | 20 along with Octave; see the file COPYING. If not, see |
21 <http://www.gnu.org/licenses/>. | |
5164 | 22 |
23 */ | |
24 | |
25 #ifdef HAVE_CONFIG_H | |
26 #include <config.h> | |
27 #endif | |
28 | |
29 #include <cassert> | |
30 #include <climits> | |
31 | |
32 #include <iostream> | |
5765 | 33 #include <sstream> |
5164 | 34 #include <vector> |
35 | |
36 #include "Array.h" | |
37 #include "Array-util.h" | |
38 #include "Range.h" | |
39 #include "idx-vector.h" | |
40 #include "lo-error.h" | |
41 #include "quit.h" | |
42 | |
43 #include "Sparse.h" | |
44 #include "sparse-sort.h" | |
45 #include "oct-spparms.h" | |
46 | |
47 template <class T> | |
48 T& | |
5275 | 49 Sparse<T>::SparseRep::elem (octave_idx_type _r, octave_idx_type _c) |
5164 | 50 { |
5275 | 51 octave_idx_type i; |
5164 | 52 |
5604 | 53 if (nzmx > 0) |
5164 | 54 { |
55 for (i = c[_c]; i < c[_c + 1]; i++) | |
56 if (r[i] == _r) | |
57 return d[i]; | |
58 else if (r[i] > _r) | |
59 break; | |
60 | |
61 // Ok, If we've gotten here, we're in trouble.. Have to create a | |
62 // new element in the sparse array. This' gonna be slow!!! | |
5869 | 63 if (c[ncols] == nzmx) |
5164 | 64 { |
65 (*current_liboctave_error_handler) | |
5275 | 66 ("Sparse::SparseRep::elem (octave_idx_type, octave_idx_type): sparse matrix filled"); |
5164 | 67 return *d; |
68 } | |
69 | |
5275 | 70 octave_idx_type to_move = c[ncols] - i; |
5164 | 71 if (to_move != 0) |
72 { | |
5275 | 73 for (octave_idx_type j = c[ncols]; j > i; j--) |
5164 | 74 { |
75 d[j] = d[j-1]; | |
76 r[j] = r[j-1]; | |
77 } | |
78 } | |
79 | |
5275 | 80 for (octave_idx_type j = _c + 1; j < ncols + 1; j++) |
5164 | 81 c[j] = c[j] + 1; |
82 | |
83 d[i] = 0.; | |
84 r[i] = _r; | |
85 | |
86 return d[i]; | |
87 } | |
88 else | |
89 { | |
90 (*current_liboctave_error_handler) | |
5275 | 91 ("Sparse::SparseRep::elem (octave_idx_type, octave_idx_type): sparse matrix filled"); |
5164 | 92 return *d; |
93 } | |
94 } | |
95 | |
96 template <class T> | |
97 T | |
5275 | 98 Sparse<T>::SparseRep::celem (octave_idx_type _r, octave_idx_type _c) const |
5164 | 99 { |
5604 | 100 if (nzmx > 0) |
5275 | 101 for (octave_idx_type i = c[_c]; i < c[_c + 1]; i++) |
5164 | 102 if (r[i] == _r) |
103 return d[i]; | |
104 return T (); | |
105 } | |
106 | |
107 template <class T> | |
108 void | |
109 Sparse<T>::SparseRep::maybe_compress (bool remove_zeros) | |
110 { | |
5604 | 111 octave_idx_type ndel = nzmx - c[ncols]; |
5275 | 112 octave_idx_type nzero = 0; |
5164 | 113 |
114 if (remove_zeros) | |
5604 | 115 for (octave_idx_type i = 0; i < nzmx - ndel; i++) |
5164 | 116 if (d[i] == T ()) |
117 nzero++; | |
118 | |
119 if (!ndel && !nzero) | |
120 return; | |
121 | |
122 if (!nzero) | |
123 { | |
5604 | 124 octave_idx_type new_nzmx = nzmx - ndel; |
125 | |
126 T *new_data = new T [new_nzmx]; | |
127 for (octave_idx_type i = 0; i < new_nzmx; i++) | |
5164 | 128 new_data[i] = d[i]; |
129 delete [] d; | |
130 d = new_data; | |
131 | |
5604 | 132 octave_idx_type *new_ridx = new octave_idx_type [new_nzmx]; |
133 for (octave_idx_type i = 0; i < new_nzmx; i++) | |
5164 | 134 new_ridx[i] = r[i]; |
135 delete [] r; | |
136 r = new_ridx; | |
137 } | |
138 else | |
139 { | |
5604 | 140 octave_idx_type new_nzmx = nzmx - ndel - nzero; |
141 | |
142 T *new_data = new T [new_nzmx]; | |
143 octave_idx_type *new_ridx = new octave_idx_type [new_nzmx]; | |
5275 | 144 |
145 octave_idx_type ii = 0; | |
146 octave_idx_type ic = 0; | |
147 for (octave_idx_type j = 0; j < ncols; j++) | |
5164 | 148 { |
5275 | 149 for (octave_idx_type k = ic; k < c[j+1]; k++) |
5164 | 150 if (d[k] != T ()) |
151 { | |
152 new_data [ii] = d[k]; | |
153 new_ridx [ii++] = r[k]; | |
154 } | |
155 ic = c[j+1]; | |
156 c[j+1] = ii; | |
157 } | |
158 | |
159 delete [] d; | |
160 d = new_data; | |
161 | |
162 delete [] r; | |
163 r = new_ridx; | |
164 } | |
165 | |
5604 | 166 nzmx -= ndel + nzero; |
5164 | 167 } |
168 | |
169 template <class T> | |
170 void | |
5275 | 171 Sparse<T>::SparseRep::change_length (octave_idx_type nz) |
5164 | 172 { |
5604 | 173 if (nz != nzmx) |
5164 | 174 { |
5604 | 175 octave_idx_type min_nzmx = (nz < nzmx ? nz : nzmx); |
5275 | 176 |
177 octave_idx_type * new_ridx = new octave_idx_type [nz]; | |
5604 | 178 for (octave_idx_type i = 0; i < min_nzmx; i++) |
5164 | 179 new_ridx[i] = r[i]; |
180 | |
181 delete [] r; | |
182 r = new_ridx; | |
183 | |
184 T * new_data = new T [nz]; | |
5604 | 185 for (octave_idx_type i = 0; i < min_nzmx; i++) |
5164 | 186 new_data[i] = d[i]; |
187 | |
188 delete [] d; | |
189 d = new_data; | |
190 | |
5604 | 191 if (nz < nzmx) |
5275 | 192 for (octave_idx_type i = 0; i <= ncols; i++) |
5164 | 193 if (c[i] > nz) |
194 c[i] = nz; | |
195 | |
5604 | 196 nzmx = nz; |
5164 | 197 } |
198 } | |
199 | |
200 template <class T> | |
201 template <class U> | |
202 Sparse<T>::Sparse (const Sparse<U>& a) | |
203 : dimensions (a.dimensions), idx (0), idx_count (0) | |
204 { | |
5681 | 205 if (a.nnz () == 0) |
5164 | 206 rep = new typename Sparse<T>::SparseRep (rows (), cols()); |
207 else | |
208 { | |
5681 | 209 rep = new typename Sparse<T>::SparseRep (rows (), cols (), a.nnz ()); |
5164 | 210 |
5681 | 211 octave_idx_type nz = a.nnz (); |
5275 | 212 octave_idx_type nc = cols (); |
213 for (octave_idx_type i = 0; i < nz; i++) | |
5164 | 214 { |
215 xdata (i) = T (a.data (i)); | |
216 xridx (i) = a.ridx (i); | |
217 } | |
5275 | 218 for (octave_idx_type i = 0; i < nc + 1; i++) |
5164 | 219 xcidx (i) = a.cidx (i); |
220 } | |
221 } | |
222 | |
223 template <class T> | |
5275 | 224 Sparse<T>::Sparse (octave_idx_type nr, octave_idx_type nc, T val) |
5630 | 225 : dimensions (dim_vector (nr, nc)), idx (0), idx_count (0) |
5164 | 226 { |
5630 | 227 if (val != T ()) |
5164 | 228 { |
5630 | 229 rep = new typename Sparse<T>::SparseRep (nr, nc, nr*nc); |
230 | |
231 octave_idx_type ii = 0; | |
232 xcidx (0) = 0; | |
233 for (octave_idx_type j = 0; j < nc; j++) | |
5164 | 234 { |
5630 | 235 for (octave_idx_type i = 0; i < nr; i++) |
236 { | |
237 xdata (ii) = val; | |
238 xridx (ii++) = i; | |
239 } | |
240 xcidx (j+1) = ii; | |
241 } | |
242 } | |
243 else | |
244 { | |
245 rep = new typename Sparse<T>::SparseRep (nr, nc, 0); | |
246 for (octave_idx_type j = 0; j < nc+1; j++) | |
247 xcidx(j) = 0; | |
5164 | 248 } |
249 } | |
250 | |
251 template <class T> | |
252 Sparse<T>::Sparse (const dim_vector& dv) | |
253 : dimensions (dv), idx (0), idx_count (0) | |
254 { | |
255 if (dv.length() != 2) | |
256 (*current_liboctave_error_handler) | |
257 ("Sparse::Sparse (const dim_vector&): dimension mismatch"); | |
258 else | |
259 rep = new typename Sparse<T>::SparseRep (dv(0), dv(1)); | |
260 } | |
261 | |
262 template <class T> | |
263 Sparse<T>::Sparse (const Sparse<T>& a, const dim_vector& dv) | |
264 : dimensions (dv), idx (0), idx_count (0) | |
265 { | |
266 | |
267 // Work in unsigned long long to avoid overflow issues with numel | |
268 unsigned long long a_nel = static_cast<unsigned long long>(a.rows ()) * | |
269 static_cast<unsigned long long>(a.cols ()); | |
270 unsigned long long dv_nel = static_cast<unsigned long long>(dv (0)) * | |
271 static_cast<unsigned long long>(dv (1)); | |
272 | |
273 if (a_nel != dv_nel) | |
274 (*current_liboctave_error_handler) | |
275 ("Sparse::Sparse (const Sparse&, const dim_vector&): dimension mismatch"); | |
276 else | |
277 { | |
278 dim_vector old_dims = a.dims(); | |
5681 | 279 octave_idx_type new_nzmx = a.nnz (); |
5275 | 280 octave_idx_type new_nr = dv (0); |
281 octave_idx_type new_nc = dv (1); | |
282 octave_idx_type old_nr = old_dims (0); | |
283 octave_idx_type old_nc = old_dims (1); | |
5164 | 284 |
5604 | 285 rep = new typename Sparse<T>::SparseRep (new_nr, new_nc, new_nzmx); |
5164 | 286 |
5275 | 287 octave_idx_type kk = 0; |
5164 | 288 xcidx(0) = 0; |
5275 | 289 for (octave_idx_type i = 0; i < old_nc; i++) |
290 for (octave_idx_type j = a.cidx(i); j < a.cidx(i+1); j++) | |
5164 | 291 { |
5275 | 292 octave_idx_type tmp = i * old_nr + a.ridx(j); |
293 octave_idx_type ii = tmp % new_nr; | |
294 octave_idx_type jj = (tmp - ii) / new_nr; | |
295 for (octave_idx_type k = kk; k < jj; k++) | |
5164 | 296 xcidx(k+1) = j; |
297 kk = jj; | |
298 xdata(j) = a.data(j); | |
299 xridx(j) = ii; | |
300 } | |
5275 | 301 for (octave_idx_type k = kk; k < new_nc; k++) |
5604 | 302 xcidx(k+1) = new_nzmx; |
5164 | 303 } |
304 } | |
305 | |
306 template <class T> | |
5275 | 307 Sparse<T>::Sparse (const Array<T>& a, const Array<octave_idx_type>& r, |
308 const Array<octave_idx_type>& c, octave_idx_type nr, | |
309 octave_idx_type nc, bool sum_terms) | |
5164 | 310 : dimensions (dim_vector (nr, nc)), idx (0), idx_count (0) |
311 { | |
5275 | 312 octave_idx_type a_len = a.length (); |
313 octave_idx_type r_len = r.length (); | |
314 octave_idx_type c_len = c.length (); | |
5164 | 315 bool ri_scalar = (r_len == 1); |
316 bool ci_scalar = (c_len == 1); | |
317 bool cf_scalar = (a_len == 1); | |
318 | |
319 if ((a_len != r_len && !cf_scalar && !ri_scalar) || | |
320 (a_len != c_len && !cf_scalar && !ci_scalar) || | |
321 (r_len != c_len && !ri_scalar && !ci_scalar) || nr < 0 || nc < 0) | |
322 { | |
323 (*current_liboctave_error_handler) | |
5275 | 324 ("Sparse::Sparse (const Array<T>&, const Array<octave_idx_type>&, ...): dimension mismatch"); |
5164 | 325 rep = nil_rep (); |
326 dimensions = dim_vector (0, 0); | |
327 } | |
328 else | |
329 { | |
5604 | 330 octave_idx_type max_nzmx = (r_len > c_len ? r_len : c_len); |
331 | |
332 OCTAVE_LOCAL_BUFFER (octave_sparse_sort_idxl *, sidx, max_nzmx); | |
333 OCTAVE_LOCAL_BUFFER (octave_sparse_sort_idxl, sidxX, max_nzmx); | |
334 | |
335 for (octave_idx_type i = 0; i < max_nzmx; i++) | |
5164 | 336 sidx[i] = &sidxX[i]; |
337 | |
5604 | 338 octave_idx_type actual_nzmx = 0; |
5164 | 339 OCTAVE_QUIT; |
5604 | 340 for (octave_idx_type i = 0; i < max_nzmx; i++) |
5164 | 341 { |
5275 | 342 octave_idx_type rowidx = (ri_scalar ? r(0) : r(i)); |
343 octave_idx_type colidx = (ci_scalar ? c(0) : c(i)); | |
5164 | 344 if (rowidx < nr && rowidx >= 0 && |
345 colidx < nc && colidx >= 0 ) | |
346 { | |
347 if ( a (cf_scalar ? 0 : i ) != T ()) | |
348 { | |
5604 | 349 sidx[actual_nzmx]->r = rowidx; |
350 sidx[actual_nzmx]->c = colidx; | |
351 sidx[actual_nzmx]->idx = i; | |
352 actual_nzmx++; | |
5164 | 353 } |
354 } | |
355 else | |
356 { | |
357 (*current_liboctave_error_handler) | |
358 ("Sparse::Sparse : index (%d,%d) out of range", | |
359 rowidx + 1, colidx + 1); | |
360 rep = nil_rep (); | |
361 dimensions = dim_vector (0, 0); | |
362 return; | |
363 } | |
364 } | |
365 | |
5604 | 366 if (actual_nzmx == 0) |
5164 | 367 rep = new typename Sparse<T>::SparseRep (nr, nc); |
368 else | |
369 { | |
370 OCTAVE_QUIT; | |
371 octave_sort<octave_sparse_sort_idxl *> | |
7433 | 372 lsort (octave_sparse_sidxl_comp); |
373 | |
374 lsort.sort (sidx, actual_nzmx); | |
5164 | 375 OCTAVE_QUIT; |
376 | |
377 // Now count the unique non-zero values | |
5604 | 378 octave_idx_type real_nzmx = 1; |
379 for (octave_idx_type i = 1; i < actual_nzmx; i++) | |
5164 | 380 if (sidx[i-1]->r != sidx[i]->r || sidx[i-1]->c != sidx[i]->c) |
5604 | 381 real_nzmx++; |
382 | |
383 rep = new typename Sparse<T>::SparseRep (nr, nc, real_nzmx); | |
5164 | 384 |
5275 | 385 octave_idx_type cx = 0; |
386 octave_idx_type prev_rval = -1; | |
387 octave_idx_type prev_cval = -1; | |
388 octave_idx_type ii = -1; | |
5164 | 389 xcidx (0) = 0; |
5604 | 390 for (octave_idx_type i = 0; i < actual_nzmx; i++) |
5164 | 391 { |
392 OCTAVE_QUIT; | |
5275 | 393 octave_idx_type iidx = sidx[i]->idx; |
394 octave_idx_type rval = sidx[i]->r; | |
395 octave_idx_type cval = sidx[i]->c; | |
5164 | 396 |
397 if (prev_cval < cval || (prev_rval < rval && prev_cval == cval)) | |
398 { | |
5275 | 399 octave_idx_type ci = static_cast<octave_idx_type> (c (ci_scalar ? 0 : iidx)); |
5164 | 400 ii++; |
401 while (cx < ci) | |
402 xcidx (++cx) = ii; | |
403 xdata(ii) = a (cf_scalar ? 0 : iidx); | |
5275 | 404 xridx(ii) = static_cast<octave_idx_type> (r (ri_scalar ? 0 : iidx)); |
5164 | 405 } |
406 else | |
407 { | |
408 if (sum_terms) | |
409 xdata(ii) += a (cf_scalar ? 0 : iidx); | |
410 else | |
411 xdata(ii) = a (cf_scalar ? 0 : iidx); | |
412 } | |
413 prev_rval = rval; | |
414 prev_cval = cval; | |
415 } | |
416 | |
417 while (cx < nc) | |
418 xcidx (++cx) = ii + 1; | |
419 } | |
420 } | |
421 } | |
422 | |
423 template <class T> | |
424 Sparse<T>::Sparse (const Array<T>& a, const Array<double>& r, | |
5275 | 425 const Array<double>& c, octave_idx_type nr, |
426 octave_idx_type nc, bool sum_terms) | |
5164 | 427 : dimensions (dim_vector (nr, nc)), idx (0), idx_count (0) |
428 { | |
5275 | 429 octave_idx_type a_len = a.length (); |
430 octave_idx_type r_len = r.length (); | |
431 octave_idx_type c_len = c.length (); | |
5164 | 432 bool ri_scalar = (r_len == 1); |
433 bool ci_scalar = (c_len == 1); | |
434 bool cf_scalar = (a_len == 1); | |
435 | |
436 if ((a_len != r_len && !cf_scalar && !ri_scalar) || | |
437 (a_len != c_len && !cf_scalar && !ci_scalar) || | |
438 (r_len != c_len && !ri_scalar && !ci_scalar) || nr < 0 || nc < 0) | |
439 { | |
440 (*current_liboctave_error_handler) | |
441 ("Sparse::Sparse (const Array<T>&, const Array<double>&, ...): dimension mismatch"); | |
442 rep = nil_rep (); | |
443 dimensions = dim_vector (0, 0); | |
444 } | |
445 else | |
446 { | |
5604 | 447 octave_idx_type max_nzmx = (r_len > c_len ? r_len : c_len); |
5164 | 448 |
5604 | 449 OCTAVE_LOCAL_BUFFER (octave_sparse_sort_idxl *, sidx, max_nzmx); |
450 OCTAVE_LOCAL_BUFFER (octave_sparse_sort_idxl, sidxX, max_nzmx); | |
451 | |
452 for (octave_idx_type i = 0; i < max_nzmx; i++) | |
5164 | 453 sidx[i] = &sidxX[i]; |
454 | |
5604 | 455 octave_idx_type actual_nzmx = 0; |
5164 | 456 OCTAVE_QUIT; |
457 | |
5604 | 458 for (octave_idx_type i = 0; i < max_nzmx; i++) |
5164 | 459 { |
5275 | 460 octave_idx_type rowidx = static_cast<octave_idx_type> (ri_scalar ? r(0) : r(i)); |
461 octave_idx_type colidx = static_cast<octave_idx_type> (ci_scalar ? c(0) : c(i)); | |
5164 | 462 if (rowidx < nr && rowidx >= 0 && |
463 colidx < nc && colidx >= 0 ) | |
464 { | |
465 if ( a (cf_scalar ? 0 : i ) != T ()) | |
466 { | |
5604 | 467 sidx[actual_nzmx]->r = rowidx; |
468 sidx[actual_nzmx]->c = colidx; | |
469 sidx[actual_nzmx]->idx = i; | |
470 actual_nzmx++; | |
5164 | 471 } |
472 } | |
473 else | |
474 { | |
475 (*current_liboctave_error_handler) | |
476 ("Sparse::Sparse : index (%d,%d) out of range", | |
477 rowidx + 1, colidx + 1); | |
478 rep = nil_rep (); | |
479 dimensions = dim_vector (0, 0); | |
480 return; | |
481 } | |
482 } | |
483 | |
5604 | 484 if (actual_nzmx == 0) |
5164 | 485 rep = new typename Sparse<T>::SparseRep (nr, nc); |
486 else | |
487 { | |
488 OCTAVE_QUIT; | |
489 octave_sort<octave_sparse_sort_idxl *> | |
7433 | 490 lsort (octave_sparse_sidxl_comp); |
491 | |
492 lsort.sort (sidx, actual_nzmx); | |
5164 | 493 OCTAVE_QUIT; |
494 | |
495 // Now count the unique non-zero values | |
5604 | 496 octave_idx_type real_nzmx = 1; |
497 for (octave_idx_type i = 1; i < actual_nzmx; i++) | |
5164 | 498 if (sidx[i-1]->r != sidx[i]->r || sidx[i-1]->c != sidx[i]->c) |
5604 | 499 real_nzmx++; |
500 | |
501 rep = new typename Sparse<T>::SparseRep (nr, nc, real_nzmx); | |
5164 | 502 |
5275 | 503 octave_idx_type cx = 0; |
504 octave_idx_type prev_rval = -1; | |
505 octave_idx_type prev_cval = -1; | |
506 octave_idx_type ii = -1; | |
5164 | 507 xcidx (0) = 0; |
5604 | 508 for (octave_idx_type i = 0; i < actual_nzmx; i++) |
5164 | 509 { |
510 OCTAVE_QUIT; | |
5275 | 511 octave_idx_type iidx = sidx[i]->idx; |
512 octave_idx_type rval = sidx[i]->r; | |
513 octave_idx_type cval = sidx[i]->c; | |
5164 | 514 |
515 if (prev_cval < cval || (prev_rval < rval && prev_cval == cval)) | |
516 { | |
5275 | 517 octave_idx_type ci = static_cast<octave_idx_type> (c (ci_scalar ? 0 : iidx)); |
5164 | 518 ii++; |
519 | |
520 while (cx < ci) | |
521 xcidx (++cx) = ii; | |
522 xdata(ii) = a (cf_scalar ? 0 : iidx); | |
5275 | 523 xridx(ii) = static_cast<octave_idx_type> (r (ri_scalar ? 0 : iidx)); |
5164 | 524 } |
525 else | |
526 { | |
527 if (sum_terms) | |
528 xdata(ii) += a (cf_scalar ? 0 : iidx); | |
529 else | |
530 xdata(ii) = a (cf_scalar ? 0 : iidx); | |
531 } | |
532 prev_rval = rval; | |
533 prev_cval = cval; | |
534 } | |
535 | |
536 while (cx < nc) | |
537 xcidx (++cx) = ii + 1; | |
538 } | |
539 } | |
540 } | |
541 | |
542 template <class T> | |
543 Sparse<T>::Sparse (const Array2<T>& a) | |
544 : dimensions (a.dims ()), idx (0), idx_count (0) | |
545 { | |
5275 | 546 octave_idx_type nr = rows (); |
547 octave_idx_type nc = cols (); | |
548 octave_idx_type len = a.length (); | |
5604 | 549 octave_idx_type new_nzmx = 0; |
5164 | 550 |
551 // First count the number of non-zero terms | |
5275 | 552 for (octave_idx_type i = 0; i < len; i++) |
5164 | 553 if (a(i) != T ()) |
5604 | 554 new_nzmx++; |
555 | |
556 rep = new typename Sparse<T>::SparseRep (nr, nc, new_nzmx); | |
5164 | 557 |
5275 | 558 octave_idx_type ii = 0; |
5164 | 559 xcidx(0) = 0; |
5275 | 560 for (octave_idx_type j = 0; j < nc; j++) |
5164 | 561 { |
5275 | 562 for (octave_idx_type i = 0; i < nr; i++) |
5164 | 563 if (a.elem (i,j) != T ()) |
564 { | |
565 xdata(ii) = a.elem (i,j); | |
566 xridx(ii++) = i; | |
567 } | |
568 xcidx(j+1) = ii; | |
569 } | |
570 } | |
571 | |
572 template <class T> | |
573 Sparse<T>::Sparse (const Array<T>& a) | |
574 : dimensions (a.dims ()), idx (0), idx_count (0) | |
575 { | |
576 if (dimensions.length () > 2) | |
577 (*current_liboctave_error_handler) | |
578 ("Sparse::Sparse (const Array<T>&): dimension mismatch"); | |
579 else | |
580 { | |
5275 | 581 octave_idx_type nr = rows (); |
582 octave_idx_type nc = cols (); | |
583 octave_idx_type len = a.length (); | |
5604 | 584 octave_idx_type new_nzmx = 0; |
5164 | 585 |
586 // First count the number of non-zero terms | |
5275 | 587 for (octave_idx_type i = 0; i < len; i++) |
5164 | 588 if (a(i) != T ()) |
5604 | 589 new_nzmx++; |
590 | |
591 rep = new typename Sparse<T>::SparseRep (nr, nc, new_nzmx); | |
5164 | 592 |
5275 | 593 octave_idx_type ii = 0; |
5164 | 594 xcidx(0) = 0; |
5275 | 595 for (octave_idx_type j = 0; j < nc; j++) |
5164 | 596 { |
5275 | 597 for (octave_idx_type i = 0; i < nr; i++) |
5164 | 598 if (a.elem (i,j) != T ()) |
599 { | |
600 xdata(ii) = a.elem (i,j); | |
601 xridx(ii++) = i; | |
602 } | |
603 xcidx(j+1) = ii; | |
604 } | |
605 } | |
606 } | |
607 | |
608 template <class T> | |
609 Sparse<T>::~Sparse (void) | |
610 { | |
611 if (--rep->count <= 0) | |
612 delete rep; | |
613 | |
614 delete [] idx; | |
615 } | |
616 | |
617 template <class T> | |
7717
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618 Sparse<T>& |
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619 Sparse<T>::operator = (const Sparse<T>& a) |
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620 { |
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621 if (this != &a) |
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622 { |
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623 if (--rep->count <= 0) |
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624 delete rep; |
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625 |
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626 rep = a.rep; |
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627 rep->count++; |
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628 |
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629 dimensions = a.dimensions; |
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630 |
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631 delete [] idx; |
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632 idx_count = 0; |
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633 idx = 0; |
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634 } |
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635 |
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636 return *this; |
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637 } |
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638 |
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639 template <class T> |
5275 | 640 octave_idx_type |
641 Sparse<T>::compute_index (const Array<octave_idx_type>& ra_idx) const | |
5164 | 642 { |
5275 | 643 octave_idx_type retval = -1; |
644 | |
645 octave_idx_type n = dimensions.length (); | |
5164 | 646 |
647 if (n > 0 && n == ra_idx.length ()) | |
648 { | |
649 retval = ra_idx(--n); | |
650 | |
651 while (--n >= 0) | |
652 { | |
653 retval *= dimensions(n); | |
654 retval += ra_idx(n); | |
655 } | |
656 } | |
657 else | |
658 (*current_liboctave_error_handler) | |
659 ("Sparse<T>::compute_index: invalid ra_idxing operation"); | |
660 | |
661 return retval; | |
662 } | |
663 | |
664 template <class T> | |
665 T | |
5275 | 666 Sparse<T>::range_error (const char *fcn, octave_idx_type n) const |
5164 | 667 { |
668 (*current_liboctave_error_handler) ("%s (%d): range error", fcn, n); | |
669 return T (); | |
670 } | |
671 | |
672 template <class T> | |
673 T& | |
5275 | 674 Sparse<T>::range_error (const char *fcn, octave_idx_type n) |
5164 | 675 { |
676 (*current_liboctave_error_handler) ("%s (%d): range error", fcn, n); | |
677 static T foo; | |
678 return foo; | |
679 } | |
680 | |
681 template <class T> | |
682 T | |
5275 | 683 Sparse<T>::range_error (const char *fcn, octave_idx_type i, octave_idx_type j) const |
5164 | 684 { |
685 (*current_liboctave_error_handler) | |
686 ("%s (%d, %d): range error", fcn, i, j); | |
687 return T (); | |
688 } | |
689 | |
690 template <class T> | |
691 T& | |
5275 | 692 Sparse<T>::range_error (const char *fcn, octave_idx_type i, octave_idx_type j) |
5164 | 693 { |
694 (*current_liboctave_error_handler) | |
695 ("%s (%d, %d): range error", fcn, i, j); | |
696 static T foo; | |
697 return foo; | |
698 } | |
699 | |
700 template <class T> | |
701 T | |
5275 | 702 Sparse<T>::range_error (const char *fcn, const Array<octave_idx_type>& ra_idx) const |
5164 | 703 { |
5765 | 704 std::ostringstream buf; |
5164 | 705 |
706 buf << fcn << " ("; | |
707 | |
5275 | 708 octave_idx_type n = ra_idx.length (); |
5164 | 709 |
710 if (n > 0) | |
711 buf << ra_idx(0); | |
712 | |
5275 | 713 for (octave_idx_type i = 1; i < n; i++) |
5164 | 714 buf << ", " << ra_idx(i); |
715 | |
716 buf << "): range error"; | |
5765 | 717 |
718 std::string buf_str = buf.str (); | |
719 | |
720 (*current_liboctave_error_handler) (buf_str.c_str ()); | |
5164 | 721 |
722 return T (); | |
723 } | |
724 | |
725 template <class T> | |
726 T& | |
5275 | 727 Sparse<T>::range_error (const char *fcn, const Array<octave_idx_type>& ra_idx) |
5164 | 728 { |
5765 | 729 std::ostringstream buf; |
5164 | 730 |
731 buf << fcn << " ("; | |
732 | |
5275 | 733 octave_idx_type n = ra_idx.length (); |
5164 | 734 |
735 if (n > 0) | |
736 buf << ra_idx(0); | |
737 | |
5275 | 738 for (octave_idx_type i = 1; i < n; i++) |
5164 | 739 buf << ", " << ra_idx(i); |
740 | |
741 buf << "): range error"; | |
742 | |
5765 | 743 std::string buf_str = buf.str (); |
744 | |
745 (*current_liboctave_error_handler) (buf_str.c_str ()); | |
5164 | 746 |
747 static T foo; | |
748 return foo; | |
749 } | |
750 | |
751 template <class T> | |
752 Sparse<T> | |
753 Sparse<T>::reshape (const dim_vector& new_dims) const | |
754 { | |
755 Sparse<T> retval; | |
6689 | 756 dim_vector dims2 = new_dims; |
757 | |
758 if (dims2.length () > 2) | |
5164 | 759 { |
6814 | 760 (*current_liboctave_warning_handler) |
761 ("reshape: sparse reshape to N-d array smashes dims"); | |
762 | |
6689 | 763 for (octave_idx_type i = 2; i < dims2.length(); i++) |
6814 | 764 dims2(1) *= dims2(i); |
765 | |
6689 | 766 dims2.resize (2); |
767 } | |
768 | |
769 if (dimensions != dims2) | |
770 { | |
771 if (dimensions.numel () == dims2.numel ()) | |
5164 | 772 { |
5681 | 773 octave_idx_type new_nnz = nnz (); |
6689 | 774 octave_idx_type new_nr = dims2 (0); |
775 octave_idx_type new_nc = dims2 (1); | |
5275 | 776 octave_idx_type old_nr = rows (); |
777 octave_idx_type old_nc = cols (); | |
5681 | 778 retval = Sparse<T> (new_nr, new_nc, new_nnz); |
5164 | 779 |
5275 | 780 octave_idx_type kk = 0; |
5164 | 781 retval.xcidx(0) = 0; |
5275 | 782 for (octave_idx_type i = 0; i < old_nc; i++) |
783 for (octave_idx_type j = cidx(i); j < cidx(i+1); j++) | |
5164 | 784 { |
5275 | 785 octave_idx_type tmp = i * old_nr + ridx(j); |
786 octave_idx_type ii = tmp % new_nr; | |
787 octave_idx_type jj = (tmp - ii) / new_nr; | |
788 for (octave_idx_type k = kk; k < jj; k++) | |
5164 | 789 retval.xcidx(k+1) = j; |
790 kk = jj; | |
791 retval.xdata(j) = data(j); | |
792 retval.xridx(j) = ii; | |
793 } | |
5275 | 794 for (octave_idx_type k = kk; k < new_nc; k++) |
5681 | 795 retval.xcidx(k+1) = new_nnz; |
5164 | 796 } |
797 else | |
798 (*current_liboctave_error_handler) ("reshape: size mismatch"); | |
799 } | |
800 else | |
801 retval = *this; | |
802 | |
803 return retval; | |
804 } | |
805 | |
806 template <class T> | |
807 Sparse<T> | |
5275 | 808 Sparse<T>::permute (const Array<octave_idx_type>& perm_vec, bool) const |
5164 | 809 { |
6813 | 810 // The only valid permutations of a sparse array are [1, 2] and [2, 1]. |
811 | |
812 bool fail = false; | |
6817 | 813 bool trans = false; |
6813 | 814 |
815 if (perm_vec.length () == 2) | |
5164 | 816 { |
6813 | 817 if (perm_vec(0) == 0 && perm_vec(1) == 1) |
818 /* do nothing */; | |
819 else if (perm_vec(0) == 1 && perm_vec(1) == 0) | |
6817 | 820 trans = true; |
5164 | 821 else |
6813 | 822 fail = true; |
5164 | 823 } |
824 else | |
6813 | 825 fail = true; |
826 | |
827 if (fail) | |
828 (*current_liboctave_error_handler) | |
829 ("permutation vector contains an invalid element"); | |
830 | |
6817 | 831 return trans ? this->transpose () : *this; |
5164 | 832 } |
833 | |
834 template <class T> | |
835 void | |
836 Sparse<T>::resize_no_fill (const dim_vector& dv) | |
837 { | |
5275 | 838 octave_idx_type n = dv.length (); |
5164 | 839 |
840 if (n != 2) | |
841 { | |
842 (*current_liboctave_error_handler) ("sparse array must be 2-D"); | |
843 return; | |
844 } | |
845 | |
846 resize_no_fill (dv(0), dv(1)); | |
847 } | |
848 | |
849 template <class T> | |
850 void | |
5275 | 851 Sparse<T>::resize_no_fill (octave_idx_type r, octave_idx_type c) |
5164 | 852 { |
853 if (r < 0 || c < 0) | |
854 { | |
855 (*current_liboctave_error_handler) | |
856 ("can't resize to negative dimension"); | |
857 return; | |
858 } | |
859 | |
860 if (ndims () == 0) | |
861 dimensions = dim_vector (0, 0); | |
862 | |
863 if (r == dim1 () && c == dim2 ()) | |
864 return; | |
865 | |
5731 | 866 typename Sparse<T>::SparseRep *old_rep = rep; |
867 | |
5275 | 868 octave_idx_type nc = cols (); |
869 octave_idx_type nr = rows (); | |
5164 | 870 |
5681 | 871 if (nnz () == 0 || r == 0 || c == 0) |
5164 | 872 // Special case of redimensioning to/from a sparse matrix with |
873 // no elements | |
874 rep = new typename Sparse<T>::SparseRep (r, c); | |
875 else | |
876 { | |
5275 | 877 octave_idx_type n = 0; |
5164 | 878 Sparse<T> tmpval; |
879 if (r >= nr) | |
880 { | |
881 if (c > nc) | |
5731 | 882 n = xcidx(nc); |
5164 | 883 else |
5731 | 884 n = xcidx(c); |
5164 | 885 |
886 tmpval = Sparse<T> (r, c, n); | |
887 | |
888 if (c > nc) | |
889 { | |
6101 | 890 for (octave_idx_type i = 0; i < nc + 1; i++) |
5731 | 891 tmpval.cidx(i) = xcidx(i); |
6101 | 892 for (octave_idx_type i = nc + 1; i < c + 1; i++) |
5164 | 893 tmpval.cidx(i) = tmpval.cidx(i-1); |
894 } | |
895 else if (c <= nc) | |
6101 | 896 for (octave_idx_type i = 0; i < c + 1; i++) |
5731 | 897 tmpval.cidx(i) = xcidx(i); |
5164 | 898 |
5275 | 899 for (octave_idx_type i = 0; i < n; i++) |
5164 | 900 { |
5731 | 901 tmpval.data(i) = xdata(i); |
902 tmpval.ridx(i) = xridx(i); | |
5164 | 903 } |
904 } | |
905 else | |
906 { | |
907 // Count how many non zero terms before we do anything | |
6101 | 908 octave_idx_type min_nc = (c < nc ? c : nc); |
909 for (octave_idx_type i = 0; i < min_nc; i++) | |
5731 | 910 for (octave_idx_type j = xcidx(i); j < xcidx(i+1); j++) |
911 if (xridx(j) < r) | |
5164 | 912 n++; |
913 | |
914 if (n) | |
915 { | |
916 // Now that we know the size we can do something | |
917 tmpval = Sparse<T> (r, c, n); | |
918 | |
919 tmpval.cidx(0); | |
6101 | 920 for (octave_idx_type i = 0, ii = 0; i < min_nc; i++) |
5164 | 921 { |
5731 | 922 for (octave_idx_type j = xcidx(i); j < xcidx(i+1); j++) |
923 if (xridx(j) < r) | |
5164 | 924 { |
5731 | 925 tmpval.data(ii) = xdata(j); |
926 tmpval.ridx(ii++) = xridx(j); | |
5164 | 927 } |
928 tmpval.cidx(i+1) = ii; | |
929 } | |
6101 | 930 if (c > min_nc) |
931 for (octave_idx_type i = nc; i < c; i++) | |
932 tmpval.cidx(i+1) = tmpval.cidx(i); | |
5164 | 933 } |
934 else | |
935 tmpval = Sparse<T> (r, c); | |
936 } | |
937 | |
938 rep = tmpval.rep; | |
939 rep->count++; | |
940 } | |
941 | |
942 dimensions = dim_vector (r, c); | |
943 | |
944 if (--old_rep->count <= 0) | |
945 delete old_rep; | |
946 } | |
947 | |
948 template <class T> | |
949 Sparse<T>& | |
5275 | 950 Sparse<T>::insert (const Sparse<T>& a, octave_idx_type r, octave_idx_type c) |
5164 | 951 { |
5275 | 952 octave_idx_type a_rows = a.rows (); |
953 octave_idx_type a_cols = a.cols (); | |
954 octave_idx_type nr = rows (); | |
955 octave_idx_type nc = cols (); | |
5164 | 956 |
957 if (r < 0 || r + a_rows > rows () || c < 0 || c + a_cols > cols ()) | |
958 { | |
959 (*current_liboctave_error_handler) ("range error for insert"); | |
960 return *this; | |
961 } | |
962 | |
963 // First count the number of elements in the final array | |
5681 | 964 octave_idx_type nel = cidx(c) + a.nnz (); |
5164 | 965 |
966 if (c + a_cols < nc) | |
967 nel += cidx(nc) - cidx(c + a_cols); | |
968 | |
5275 | 969 for (octave_idx_type i = c; i < c + a_cols; i++) |
970 for (octave_idx_type j = cidx(i); j < cidx(i+1); j++) | |
5164 | 971 if (ridx(j) < r || ridx(j) >= r + a_rows) |
972 nel++; | |
973 | |
974 Sparse<T> tmp (*this); | |
975 --rep->count; | |
976 rep = new typename Sparse<T>::SparseRep (nr, nc, nel); | |
977 | |
5275 | 978 for (octave_idx_type i = 0; i < tmp.cidx(c); i++) |
5164 | 979 { |
980 data(i) = tmp.data(i); | |
981 ridx(i) = tmp.ridx(i); | |
982 } | |
5275 | 983 for (octave_idx_type i = 0; i < c + 1; i++) |
5164 | 984 cidx(i) = tmp.cidx(i); |
985 | |
5275 | 986 octave_idx_type ii = cidx(c); |
987 | |
988 for (octave_idx_type i = c; i < c + a_cols; i++) | |
5164 | 989 { |
990 OCTAVE_QUIT; | |
991 | |
5275 | 992 for (octave_idx_type j = tmp.cidx(i); j < tmp.cidx(i+1); j++) |
5164 | 993 if (tmp.ridx(j) < r) |
994 { | |
995 data(ii) = tmp.data(j); | |
996 ridx(ii++) = tmp.ridx(j); | |
997 } | |
998 | |
999 OCTAVE_QUIT; | |
1000 | |
5275 | 1001 for (octave_idx_type j = a.cidx(i-c); j < a.cidx(i-c+1); j++) |
5164 | 1002 { |
1003 data(ii) = a.data(j); | |
1004 ridx(ii++) = r + a.ridx(j); | |
1005 } | |
1006 | |
1007 OCTAVE_QUIT; | |
1008 | |
5275 | 1009 for (octave_idx_type j = tmp.cidx(i); j < tmp.cidx(i+1); j++) |
5164 | 1010 if (tmp.ridx(j) >= r + a_rows) |
1011 { | |
1012 data(ii) = tmp.data(j); | |
1013 ridx(ii++) = tmp.ridx(j); | |
1014 } | |
1015 | |
1016 cidx(i+1) = ii; | |
1017 } | |
1018 | |
5275 | 1019 for (octave_idx_type i = c + a_cols; i < nc; i++) |
5164 | 1020 { |
5275 | 1021 for (octave_idx_type j = tmp.cidx(i); j < tmp.cidx(i+1); j++) |
5164 | 1022 { |
1023 data(ii) = tmp.data(j); | |
1024 ridx(ii++) = tmp.ridx(j); | |
1025 } | |
1026 cidx(i+1) = ii; | |
1027 } | |
1028 | |
1029 return *this; | |
1030 } | |
1031 | |
1032 template <class T> | |
1033 Sparse<T>& | |
5275 | 1034 Sparse<T>::insert (const Sparse<T>& a, const Array<octave_idx_type>& ra_idx) |
5164 | 1035 { |
1036 | |
1037 if (ra_idx.length () != 2) | |
1038 { | |
1039 (*current_liboctave_error_handler) ("range error for insert"); | |
1040 return *this; | |
1041 } | |
1042 | |
1043 return insert (a, ra_idx (0), ra_idx (1)); | |
1044 } | |
1045 | |
1046 template <class T> | |
1047 Sparse<T> | |
1048 Sparse<T>::transpose (void) const | |
1049 { | |
1050 assert (ndims () == 2); | |
1051 | |
5275 | 1052 octave_idx_type nr = rows (); |
1053 octave_idx_type nc = cols (); | |
5648 | 1054 octave_idx_type nz = nnz (); |
5164 | 1055 Sparse<T> retval (nc, nr, nz); |
1056 | |
5648 | 1057 OCTAVE_LOCAL_BUFFER (octave_idx_type, w, nr + 1); |
1058 for (octave_idx_type i = 0; i < nr; i++) | |
1059 w[i] = 0; | |
1060 for (octave_idx_type i = 0; i < nz; i++) | |
1061 w[ridx(i)]++; | |
1062 nz = 0; | |
1063 for (octave_idx_type i = 0; i < nr; i++) | |
5164 | 1064 { |
5648 | 1065 retval.xcidx(i) = nz; |
1066 nz += w[i]; | |
1067 w[i] = retval.xcidx(i); | |
5164 | 1068 } |
5648 | 1069 retval.xcidx(nr) = nz; |
1070 w[nr] = nz; | |
1071 | |
1072 for (octave_idx_type j = 0; j < nc; j++) | |
1073 for (octave_idx_type k = cidx(j); k < cidx(j+1); k++) | |
1074 { | |
1075 octave_idx_type q = w [ridx(k)]++; | |
1076 retval.xridx (q) = j; | |
1077 retval.xdata (q) = data (k); | |
1078 } | |
5164 | 1079 |
1080 return retval; | |
1081 } | |
1082 | |
1083 template <class T> | |
1084 void | |
1085 Sparse<T>::clear_index (void) | |
1086 { | |
1087 delete [] idx; | |
1088 idx = 0; | |
1089 idx_count = 0; | |
1090 } | |
1091 | |
1092 template <class T> | |
1093 void | |
1094 Sparse<T>::set_index (const idx_vector& idx_arg) | |
1095 { | |
5275 | 1096 octave_idx_type nd = ndims (); |
5164 | 1097 |
1098 if (! idx && nd > 0) | |
1099 idx = new idx_vector [nd]; | |
1100 | |
1101 if (idx_count < nd) | |
1102 { | |
1103 idx[idx_count++] = idx_arg; | |
1104 } | |
1105 else | |
1106 { | |
1107 idx_vector *new_idx = new idx_vector [idx_count+1]; | |
1108 | |
5275 | 1109 for (octave_idx_type i = 0; i < idx_count; i++) |
5164 | 1110 new_idx[i] = idx[i]; |
1111 | |
1112 new_idx[idx_count++] = idx_arg; | |
1113 | |
1114 delete [] idx; | |
1115 | |
1116 idx = new_idx; | |
1117 } | |
1118 } | |
1119 | |
1120 template <class T> | |
1121 void | |
1122 Sparse<T>::maybe_delete_elements (idx_vector& idx_arg) | |
1123 { | |
5275 | 1124 octave_idx_type nr = dim1 (); |
1125 octave_idx_type nc = dim2 (); | |
5164 | 1126 |
1127 if (nr == 0 && nc == 0) | |
1128 return; | |
1129 | |
5275 | 1130 octave_idx_type n; |
5164 | 1131 if (nr == 1) |
1132 n = nc; | |
1133 else if (nc == 1) | |
1134 n = nr; | |
1135 else | |
1136 { | |
1137 // Reshape to row vector for Matlab compatibility. | |
1138 | |
1139 n = nr * nc; | |
1140 nr = 1; | |
1141 nc = n; | |
1142 } | |
1143 | |
1144 if (idx_arg.is_colon_equiv (n, 1)) | |
1145 { | |
1146 // Either A(:) = [] or A(idx) = [] with idx enumerating all | |
1147 // elements, so we delete all elements and return [](0x0). To | |
1148 // preserve the orientation of the vector, you have to use | |
1149 // A(idx,:) = [] (delete rows) or A(:,idx) (delete columns). | |
1150 | |
1151 resize_no_fill (0, 0); | |
1152 return; | |
1153 } | |
1154 | |
1155 idx_arg.sort (true); | |
1156 | |
5275 | 1157 octave_idx_type num_to_delete = idx_arg.length (n); |
5164 | 1158 |
1159 if (num_to_delete != 0) | |
1160 { | |
5275 | 1161 octave_idx_type new_n = n; |
5681 | 1162 octave_idx_type new_nnz = nnz (); |
5275 | 1163 |
1164 octave_idx_type iidx = 0; | |
5164 | 1165 |
1166 const Sparse<T> tmp (*this); | |
1167 | |
5275 | 1168 for (octave_idx_type i = 0; i < n; i++) |
5164 | 1169 { |
1170 OCTAVE_QUIT; | |
1171 | |
1172 if (i == idx_arg.elem (iidx)) | |
1173 { | |
1174 iidx++; | |
1175 new_n--; | |
1176 | |
1177 if (tmp.elem (i) != T ()) | |
5681 | 1178 new_nnz--; |
5164 | 1179 |
1180 if (iidx == num_to_delete) | |
1181 break; | |
1182 } | |
1183 } | |
1184 | |
1185 if (new_n > 0) | |
1186 { | |
1187 rep->count--; | |
1188 | |
1189 if (nr == 1) | |
5681 | 1190 rep = new typename Sparse<T>::SparseRep (1, new_n, new_nnz); |
5164 | 1191 else |
5681 | 1192 rep = new typename Sparse<T>::SparseRep (new_n, 1, new_nnz); |
5164 | 1193 |
5275 | 1194 octave_idx_type ii = 0; |
1195 octave_idx_type jj = 0; | |
5164 | 1196 iidx = 0; |
5275 | 1197 for (octave_idx_type i = 0; i < n; i++) |
5164 | 1198 { |
1199 OCTAVE_QUIT; | |
1200 | |
1201 if (iidx < num_to_delete && i == idx_arg.elem (iidx)) | |
1202 iidx++; | |
1203 else | |
1204 { | |
1205 T el = tmp.elem (i); | |
1206 if (el != T ()) | |
1207 { | |
1208 data(ii) = el; | |
1209 ridx(ii++) = jj; | |
1210 } | |
1211 jj++; | |
1212 } | |
1213 } | |
1214 | |
1215 dimensions.resize (2); | |
1216 | |
1217 if (nr == 1) | |
1218 { | |
1219 ii = 0; | |
1220 cidx(0) = 0; | |
5275 | 1221 for (octave_idx_type i = 0; i < new_n; i++) |
5164 | 1222 { |
1223 OCTAVE_QUIT; | |
1224 if (ridx(ii) == i) | |
1225 ridx(ii++) = 0; | |
1226 cidx(i+1) = ii; | |
1227 } | |
1228 | |
1229 dimensions(0) = 1; | |
1230 dimensions(1) = new_n; | |
1231 } | |
1232 else | |
1233 { | |
1234 cidx(0) = 0; | |
5681 | 1235 cidx(1) = new_nnz; |
5164 | 1236 dimensions(0) = new_n; |
1237 dimensions(1) = 1; | |
1238 } | |
1239 } | |
1240 else | |
1241 (*current_liboctave_error_handler) | |
1242 ("A(idx) = []: index out of range"); | |
1243 } | |
1244 } | |
1245 | |
1246 template <class T> | |
1247 void | |
1248 Sparse<T>::maybe_delete_elements (idx_vector& idx_i, idx_vector& idx_j) | |
1249 { | |
1250 assert (ndims () == 2); | |
1251 | |
5275 | 1252 octave_idx_type nr = dim1 (); |
1253 octave_idx_type nc = dim2 (); | |
5164 | 1254 |
1255 if (nr == 0 && nc == 0) | |
1256 return; | |
1257 | |
1258 if (idx_i.is_colon ()) | |
1259 { | |
1260 if (idx_j.is_colon ()) | |
1261 { | |
1262 // A(:,:) -- We are deleting columns and rows, so the result | |
1263 // is [](0x0). | |
1264 | |
1265 resize_no_fill (0, 0); | |
1266 return; | |
1267 } | |
1268 | |
1269 if (idx_j.is_colon_equiv (nc, 1)) | |
1270 { | |
1271 // A(:,j) -- We are deleting columns by enumerating them, | |
1272 // If we enumerate all of them, we should have zero columns | |
1273 // with the same number of rows that we started with. | |
1274 | |
1275 resize_no_fill (nr, 0); | |
1276 return; | |
1277 } | |
1278 } | |
1279 | |
1280 if (idx_j.is_colon () && idx_i.is_colon_equiv (nr, 1)) | |
1281 { | |
1282 // A(i,:) -- We are deleting rows by enumerating them. If we | |
1283 // enumerate all of them, we should have zero rows with the | |
1284 // same number of columns that we started with. | |
1285 | |
1286 resize_no_fill (0, nc); | |
1287 return; | |
1288 } | |
1289 | |
1290 if (idx_i.is_colon_equiv (nr, 1)) | |
1291 { | |
1292 if (idx_j.is_colon_equiv (nc, 1)) | |
1293 resize_no_fill (0, 0); | |
1294 else | |
1295 { | |
1296 idx_j.sort (true); | |
1297 | |
5275 | 1298 octave_idx_type num_to_delete = idx_j.length (nc); |
5164 | 1299 |
1300 if (num_to_delete != 0) | |
1301 { | |
1302 if (nr == 1 && num_to_delete == nc) | |
1303 resize_no_fill (0, 0); | |
1304 else | |
1305 { | |
5275 | 1306 octave_idx_type new_nc = nc; |
5681 | 1307 octave_idx_type new_nnz = nnz (); |
5275 | 1308 |
1309 octave_idx_type iidx = 0; | |
1310 | |
1311 for (octave_idx_type j = 0; j < nc; j++) | |
5164 | 1312 { |
1313 OCTAVE_QUIT; | |
1314 | |
1315 if (j == idx_j.elem (iidx)) | |
1316 { | |
1317 iidx++; | |
1318 new_nc--; | |
1319 | |
5681 | 1320 new_nnz -= cidx(j+1) - cidx(j); |
5164 | 1321 |
1322 if (iidx == num_to_delete) | |
1323 break; | |
1324 } | |
1325 } | |
1326 | |
1327 if (new_nc > 0) | |
1328 { | |
1329 const Sparse<T> tmp (*this); | |
1330 --rep->count; | |
1331 rep = new typename Sparse<T>::SparseRep (nr, new_nc, | |
5681 | 1332 new_nnz); |
5275 | 1333 octave_idx_type ii = 0; |
1334 octave_idx_type jj = 0; | |
5164 | 1335 iidx = 0; |
1336 cidx(0) = 0; | |
5275 | 1337 for (octave_idx_type j = 0; j < nc; j++) |
5164 | 1338 { |
1339 OCTAVE_QUIT; | |
1340 | |
1341 if (iidx < num_to_delete && j == idx_j.elem (iidx)) | |
1342 iidx++; | |
1343 else | |
1344 { | |
5275 | 1345 for (octave_idx_type i = tmp.cidx(j); |
5164 | 1346 i < tmp.cidx(j+1); i++) |
1347 { | |
1348 data(jj) = tmp.data(i); | |
1349 ridx(jj++) = tmp.ridx(i); | |
1350 } | |
1351 cidx(++ii) = jj; | |
1352 } | |
1353 } | |
1354 | |
1355 dimensions.resize (2); | |
1356 dimensions(1) = new_nc; | |
1357 } | |
1358 else | |
1359 (*current_liboctave_error_handler) | |
1360 ("A(idx) = []: index out of range"); | |
1361 } | |
1362 } | |
1363 } | |
1364 } | |
1365 else if (idx_j.is_colon_equiv (nc, 1)) | |
1366 { | |
1367 if (idx_i.is_colon_equiv (nr, 1)) | |
1368 resize_no_fill (0, 0); | |
1369 else | |
1370 { | |
1371 idx_i.sort (true); | |
1372 | |
5275 | 1373 octave_idx_type num_to_delete = idx_i.length (nr); |
5164 | 1374 |
1375 if (num_to_delete != 0) | |
1376 { | |
1377 if (nc == 1 && num_to_delete == nr) | |
1378 resize_no_fill (0, 0); | |
1379 else | |
1380 { | |
5275 | 1381 octave_idx_type new_nr = nr; |
5681 | 1382 octave_idx_type new_nnz = nnz (); |
5275 | 1383 |
1384 octave_idx_type iidx = 0; | |
1385 | |
1386 for (octave_idx_type i = 0; i < nr; i++) | |
5164 | 1387 { |
1388 OCTAVE_QUIT; | |
1389 | |
1390 if (i == idx_i.elem (iidx)) | |
1391 { | |
1392 iidx++; | |
1393 new_nr--; | |
1394 | |
5681 | 1395 for (octave_idx_type j = 0; j < nnz (); j++) |
5164 | 1396 if (ridx(j) == i) |
5681 | 1397 new_nnz--; |
5164 | 1398 |
1399 if (iidx == num_to_delete) | |
1400 break; | |
1401 } | |
1402 } | |
1403 | |
1404 if (new_nr > 0) | |
1405 { | |
1406 const Sparse<T> tmp (*this); | |
1407 --rep->count; | |
1408 rep = new typename Sparse<T>::SparseRep (new_nr, nc, | |
5681 | 1409 new_nnz); |
5164 | 1410 |
5275 | 1411 octave_idx_type jj = 0; |
5164 | 1412 cidx(0) = 0; |
5275 | 1413 for (octave_idx_type i = 0; i < nc; i++) |
5164 | 1414 { |
1415 iidx = 0; | |
5275 | 1416 for (octave_idx_type j = tmp.cidx(i); j < tmp.cidx(i+1); j++) |
5164 | 1417 { |
1418 OCTAVE_QUIT; | |
1419 | |
5275 | 1420 octave_idx_type ri = tmp.ridx(j); |
5164 | 1421 |
1422 while (iidx < num_to_delete && | |
1423 ri > idx_i.elem (iidx)) | |
1424 { | |
1425 iidx++; | |
1426 } | |
1427 | |
1428 if (iidx == num_to_delete || | |
1429 ri != idx_i.elem(iidx)) | |
1430 { | |
1431 data(jj) = tmp.data(j); | |
1432 ridx(jj++) = ri - iidx; | |
1433 } | |
1434 } | |
1435 cidx(i+1) = jj; | |
1436 } | |
1437 | |
1438 dimensions.resize (2); | |
1439 dimensions(0) = new_nr; | |
1440 } | |
1441 else | |
1442 (*current_liboctave_error_handler) | |
1443 ("A(idx) = []: index out of range"); | |
1444 } | |
1445 } | |
1446 } | |
1447 } | |
1448 } | |
1449 | |
1450 template <class T> | |
1451 void | |
1452 Sparse<T>::maybe_delete_elements (Array<idx_vector>& ra_idx) | |
1453 { | |
1454 if (ra_idx.length () == 1) | |
1455 maybe_delete_elements (ra_idx(0)); | |
1456 else if (ra_idx.length () == 2) | |
1457 maybe_delete_elements (ra_idx(0), ra_idx(1)); | |
1458 else | |
1459 (*current_liboctave_error_handler) | |
1460 ("range error for maybe_delete_elements"); | |
1461 } | |
1462 | |
1463 template <class T> | |
1464 Sparse<T> | |
1465 Sparse<T>::value (void) | |
1466 { | |
1467 Sparse<T> retval; | |
1468 | |
1469 int n_idx = index_count (); | |
1470 | |
1471 if (n_idx == 2) | |
1472 { | |
1473 idx_vector *tmp = get_idx (); | |
1474 | |
1475 idx_vector idx_i = tmp[0]; | |
1476 idx_vector idx_j = tmp[1]; | |
1477 | |
1478 retval = index (idx_i, idx_j); | |
1479 } | |
1480 else if (n_idx == 1) | |
1481 { | |
1482 retval = index (idx[0]); | |
1483 } | |
1484 else | |
1485 (*current_liboctave_error_handler) | |
1486 ("Sparse<T>::value: invalid number of indices specified"); | |
1487 | |
1488 clear_index (); | |
1489 | |
1490 return retval; | |
1491 } | |
1492 | |
1493 template <class T> | |
1494 Sparse<T> | |
1495 Sparse<T>::index (idx_vector& idx_arg, int resize_ok) const | |
1496 { | |
1497 Sparse<T> retval; | |
1498 | |
1499 assert (ndims () == 2); | |
1500 | |
5275 | 1501 octave_idx_type nr = dim1 (); |
1502 octave_idx_type nc = dim2 (); | |
5681 | 1503 octave_idx_type nz = nnz (); |
5275 | 1504 |
1505 octave_idx_type orig_len = nr * nc; | |
5164 | 1506 |
1507 dim_vector idx_orig_dims = idx_arg.orig_dimensions (); | |
1508 | |
5275 | 1509 octave_idx_type idx_orig_rows = idx_arg.orig_rows (); |
1510 octave_idx_type idx_orig_columns = idx_arg.orig_columns (); | |
5164 | 1511 |
1512 if (idx_orig_dims.length () > 2) | |
1513 (*current_liboctave_error_handler) | |
1514 ("Sparse<T>::index: Can not index Sparse<T> with an N-D Array"); | |
1515 else if (idx_arg.is_colon ()) | |
1516 { | |
1517 // Fast magic colon processing. | |
1518 retval = Sparse<T> (nr * nc, 1, nz); | |
1519 | |
5275 | 1520 for (octave_idx_type i = 0; i < nc; i++) |
1521 for (octave_idx_type j = cidx(i); j < cidx(i+1); j++) | |
5164 | 1522 { |
1523 OCTAVE_QUIT; | |
1524 retval.xdata(j) = data(j); | |
1525 retval.xridx(j) = ridx(j) + i * nr; | |
1526 } | |
1527 retval.xcidx(0) = 0; | |
1528 retval.xcidx(1) = nz; | |
1529 } | |
1530 else if (nr == 1 && nc == 1) | |
1531 { | |
1532 // You have to be pretty sick to get to this bit of code, | |
1533 // since you have a scalar stored as a sparse matrix, and | |
1534 // then want to make a dense matrix with sparse | |
1535 // representation. Ok, we'll do it, but you deserve what | |
1536 // you get!! | |
5275 | 1537 octave_idx_type n = idx_arg.freeze (length (), "sparse vector", resize_ok); |
5164 | 1538 if (n == 0) |
7573
755bf7ecc29b
eliminate one_zero stuff from idx_vector
John W. Eaton <jwe@octave.org>
parents:
7546
diff
changeset
|
1539 |
7299 | 1540 retval = Sparse<T> (idx_orig_dims); |
5164 | 1541 else if (nz < 1) |
1542 if (n >= idx_orig_dims.numel ()) | |
1543 retval = Sparse<T> (idx_orig_dims); | |
1544 else | |
1545 retval = Sparse<T> (dim_vector (n, 1)); | |
1546 else if (n >= idx_orig_dims.numel ()) | |
1547 { | |
1548 T el = elem (0); | |
5275 | 1549 octave_idx_type new_nr = idx_orig_rows; |
1550 octave_idx_type new_nc = idx_orig_columns; | |
1551 for (octave_idx_type i = 2; i < idx_orig_dims.length (); i++) | |
5164 | 1552 new_nc *= idx_orig_dims (i); |
1553 | |
1554 retval = Sparse<T> (new_nr, new_nc, idx_arg.ones_count ()); | |
1555 | |
5275 | 1556 octave_idx_type ic = 0; |
1557 for (octave_idx_type i = 0; i < n; i++) | |
5164 | 1558 { |
1559 if (i % new_nr == 0) | |
7322 | 1560 retval.xcidx(i / new_nr) = ic; |
5164 | 1561 |
5275 | 1562 octave_idx_type ii = idx_arg.elem (i); |
5164 | 1563 if (ii == 0) |
1564 { | |
1565 OCTAVE_QUIT; | |
1566 retval.xdata(ic) = el; | |
1567 retval.xridx(ic++) = i % new_nr; | |
1568 } | |
1569 } | |
1570 retval.xcidx (new_nc) = ic; | |
1571 } | |
1572 else | |
1573 { | |
1574 T el = elem (0); | |
1575 retval = Sparse<T> (n, 1, nz); | |
1576 | |
5275 | 1577 for (octave_idx_type i = 0; i < nz; i++) |
5164 | 1578 { |
1579 OCTAVE_QUIT; | |
1580 retval.xdata(i) = el; | |
1581 retval.xridx(i) = i; | |
1582 } | |
1583 retval.xcidx(0) = 0; | |
1584 retval.xcidx(1) = n; | |
1585 } | |
1586 } | |
1587 else if (nr == 1 || nc == 1) | |
1588 { | |
1589 // If indexing a vector with a matrix, return value has same | |
1590 // shape as the index. Otherwise, it has same orientation as | |
1591 // indexed object. | |
5275 | 1592 octave_idx_type len = length (); |
1593 octave_idx_type n = idx_arg.freeze (len, "sparse vector", resize_ok); | |
5164 | 1594 |
1595 if (n == 0) | |
1596 if (nr == 1) | |
1597 retval = Sparse<T> (dim_vector (1, 0)); | |
1598 else | |
1599 retval = Sparse<T> (dim_vector (0, 1)); | |
1600 else if (nz < 1) | |
7573
755bf7ecc29b
eliminate one_zero stuff from idx_vector
John W. Eaton <jwe@octave.org>
parents:
7546
diff
changeset
|
1601 if (idx_orig_rows == 1 || idx_orig_columns == 1) |
5164 | 1602 retval = Sparse<T> ((nr == 1 ? 1 : n), (nr == 1 ? n : 1)); |
1603 else | |
1604 retval = Sparse<T> (idx_orig_dims); | |
1605 else | |
1606 { | |
1607 | |
5604 | 1608 octave_idx_type new_nzmx = 0; |
5164 | 1609 if (nr == 1) |
5275 | 1610 for (octave_idx_type i = 0; i < n; i++) |
5164 | 1611 { |
1612 OCTAVE_QUIT; | |
1613 | |
5275 | 1614 octave_idx_type ii = idx_arg.elem (i); |
5164 | 1615 if (ii < len) |
1616 if (cidx(ii) != cidx(ii+1)) | |
5604 | 1617 new_nzmx++; |
5164 | 1618 } |
1619 else | |
5275 | 1620 for (octave_idx_type i = 0; i < n; i++) |
5164 | 1621 { |
5275 | 1622 octave_idx_type ii = idx_arg.elem (i); |
5164 | 1623 if (ii < len) |
5275 | 1624 for (octave_idx_type j = 0; j < nz; j++) |
5164 | 1625 { |
1626 OCTAVE_QUIT; | |
1627 | |
1628 if (ridx(j) == ii) | |
5604 | 1629 new_nzmx++; |
5164 | 1630 if (ridx(j) >= ii) |
1631 break; | |
1632 } | |
1633 } | |
1634 | |
7573
755bf7ecc29b
eliminate one_zero stuff from idx_vector
John W. Eaton <jwe@octave.org>
parents:
7546
diff
changeset
|
1635 if (idx_orig_rows == 1 || idx_orig_columns == 1) |
5164 | 1636 { |
1637 if (nr == 1) | |
1638 { | |
5604 | 1639 retval = Sparse<T> (1, n, new_nzmx); |
5275 | 1640 octave_idx_type jj = 0; |
5164 | 1641 retval.xcidx(0) = 0; |
5275 | 1642 for (octave_idx_type i = 0; i < n; i++) |
5164 | 1643 { |
1644 OCTAVE_QUIT; | |
1645 | |
5275 | 1646 octave_idx_type ii = idx_arg.elem (i); |
5164 | 1647 if (ii < len) |
1648 if (cidx(ii) != cidx(ii+1)) | |
1649 { | |
1650 retval.xdata(jj) = data(cidx(ii)); | |
1651 retval.xridx(jj++) = 0; | |
1652 } | |
1653 retval.xcidx(i+1) = jj; | |
1654 } | |
1655 } | |
1656 else | |
1657 { | |
5604 | 1658 retval = Sparse<T> (n, 1, new_nzmx); |
5164 | 1659 retval.xcidx(0) = 0; |
5604 | 1660 retval.xcidx(1) = new_nzmx; |
5275 | 1661 octave_idx_type jj = 0; |
1662 for (octave_idx_type i = 0; i < n; i++) | |
5164 | 1663 { |
5275 | 1664 octave_idx_type ii = idx_arg.elem (i); |
5164 | 1665 if (ii < len) |
5275 | 1666 for (octave_idx_type j = 0; j < nz; j++) |
5164 | 1667 { |
1668 OCTAVE_QUIT; | |
1669 | |
1670 if (ridx(j) == ii) | |
1671 { | |
1672 retval.xdata(jj) = data(j); | |
1673 retval.xridx(jj++) = i; | |
1674 } | |
1675 if (ridx(j) >= ii) | |
1676 break; | |
1677 } | |
1678 } | |
1679 } | |
1680 } | |
1681 else | |
1682 { | |
5275 | 1683 octave_idx_type new_nr; |
1684 octave_idx_type new_nc; | |
5164 | 1685 if (n >= idx_orig_dims.numel ()) |
1686 { | |
1687 new_nr = idx_orig_rows; | |
1688 new_nc = idx_orig_columns; | |
1689 } | |
1690 else | |
1691 { | |
1692 new_nr = n; | |
1693 new_nc = 1; | |
1694 } | |
1695 | |
5604 | 1696 retval = Sparse<T> (new_nr, new_nc, new_nzmx); |
5164 | 1697 |
1698 if (nr == 1) | |
1699 { | |
5275 | 1700 octave_idx_type jj = 0; |
5164 | 1701 retval.xcidx(0) = 0; |
5275 | 1702 for (octave_idx_type i = 0; i < n; i++) |
5164 | 1703 { |
1704 OCTAVE_QUIT; | |
1705 | |
5275 | 1706 octave_idx_type ii = idx_arg.elem (i); |
5164 | 1707 if (ii < len) |
1708 if (cidx(ii) != cidx(ii+1)) | |
1709 { | |
1710 retval.xdata(jj) = data(cidx(ii)); | |
1711 retval.xridx(jj++) = 0; | |
1712 } | |
1713 retval.xcidx(i/new_nr+1) = jj; | |
1714 } | |
1715 } | |
1716 else | |
1717 { | |
5275 | 1718 octave_idx_type jj = 0; |
5164 | 1719 retval.xcidx(0) = 0; |
5275 | 1720 for (octave_idx_type i = 0; i < n; i++) |
5164 | 1721 { |
5275 | 1722 octave_idx_type ii = idx_arg.elem (i); |
5164 | 1723 if (ii < len) |
5275 | 1724 for (octave_idx_type j = 0; j < nz; j++) |
5164 | 1725 { |
1726 OCTAVE_QUIT; | |
1727 | |
1728 if (ridx(j) == ii) | |
1729 { | |
1730 retval.xdata(jj) = data(j); | |
1731 retval.xridx(jj++) = i; | |
1732 } | |
1733 if (ridx(j) >= ii) | |
1734 break; | |
1735 } | |
1736 retval.xcidx(i/new_nr+1) = jj; | |
1737 } | |
1738 } | |
1739 } | |
1740 } | |
1741 } | |
1742 else | |
1743 { | |
7573
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John W. Eaton <jwe@octave.org>
parents:
7546
diff
changeset
|
1744 (*current_liboctave_warning_with_id_handler) |
755bf7ecc29b
eliminate one_zero stuff from idx_vector
John W. Eaton <jwe@octave.org>
parents:
7546
diff
changeset
|
1745 ("Octave:fortran-indexing", "single index used for sparse matrix"); |
5164 | 1746 |
1747 // This code is only for indexing matrices. The vector | |
1748 // cases are handled above. | |
1749 | |
1750 idx_arg.freeze (nr * nc, "matrix", resize_ok); | |
1751 | |
1752 if (idx_arg) | |
1753 { | |
5275 | 1754 octave_idx_type result_nr = idx_orig_rows; |
1755 octave_idx_type result_nc = idx_orig_columns; | |
5164 | 1756 |
1757 if (nz < 1) | |
7573
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John W. Eaton <jwe@octave.org>
parents:
7546
diff
changeset
|
1758 retval = Sparse<T> (result_nr, result_nc); |
5164 | 1759 else |
1760 { | |
1761 // Count number of non-zero elements | |
5604 | 1762 octave_idx_type new_nzmx = 0; |
5275 | 1763 octave_idx_type kk = 0; |
1764 for (octave_idx_type j = 0; j < result_nc; j++) | |
5164 | 1765 { |
5275 | 1766 for (octave_idx_type i = 0; i < result_nr; i++) |
5164 | 1767 { |
1768 OCTAVE_QUIT; | |
1769 | |
5275 | 1770 octave_idx_type ii = idx_arg.elem (kk++); |
5164 | 1771 if (ii < orig_len) |
1772 { | |
5275 | 1773 octave_idx_type fr = ii % nr; |
1774 octave_idx_type fc = (ii - fr) / nr; | |
1775 for (octave_idx_type k = cidx(fc); k < cidx(fc+1); k++) | |
5164 | 1776 { |
1777 if (ridx(k) == fr) | |
5604 | 1778 new_nzmx++; |
5164 | 1779 if (ridx(k) >= fr) |
1780 break; | |
1781 } | |
1782 } | |
1783 } | |
1784 } | |
1785 | |
5604 | 1786 retval = Sparse<T> (result_nr, result_nc, new_nzmx); |
5164 | 1787 |
1788 kk = 0; | |
5275 | 1789 octave_idx_type jj = 0; |
5164 | 1790 retval.xcidx(0) = 0; |
5275 | 1791 for (octave_idx_type j = 0; j < result_nc; j++) |
5164 | 1792 { |
5275 | 1793 for (octave_idx_type i = 0; i < result_nr; i++) |
5164 | 1794 { |
1795 OCTAVE_QUIT; | |
1796 | |
5275 | 1797 octave_idx_type ii = idx_arg.elem (kk++); |
5164 | 1798 if (ii < orig_len) |
1799 { | |
5275 | 1800 octave_idx_type fr = ii % nr; |
1801 octave_idx_type fc = (ii - fr) / nr; | |
1802 for (octave_idx_type k = cidx(fc); k < cidx(fc+1); k++) | |
5164 | 1803 { |
1804 if (ridx(k) == fr) | |
1805 { | |
1806 retval.xdata(jj) = data(k); | |
1807 retval.xridx(jj++) = i; | |
1808 } | |
1809 if (ridx(k) >= fr) | |
1810 break; | |
1811 } | |
1812 } | |
1813 } | |
1814 retval.xcidx(j+1) = jj; | |
1815 } | |
1816 } | |
1817 // idx_vector::freeze() printed an error message for us. | |
1818 } | |
1819 } | |
1820 | |
1821 return retval; | |
1822 } | |
1823 | |
6988 | 1824 struct |
1825 idx_node | |
1826 { | |
1827 octave_idx_type i; | |
1828 struct idx_node *next; | |
1829 }; | |
1830 | |
5164 | 1831 template <class T> |
1832 Sparse<T> | |
1833 Sparse<T>::index (idx_vector& idx_i, idx_vector& idx_j, int resize_ok) const | |
1834 { | |
1835 Sparse<T> retval; | |
1836 | |
1837 assert (ndims () == 2); | |
1838 | |
5275 | 1839 octave_idx_type nr = dim1 (); |
1840 octave_idx_type nc = dim2 (); | |
1841 | |
1842 octave_idx_type n = idx_i.freeze (nr, "row", resize_ok); | |
1843 octave_idx_type m = idx_j.freeze (nc, "column", resize_ok); | |
5164 | 1844 |
1845 if (idx_i && idx_j) | |
1846 { | |
1847 if (idx_i.orig_empty () || idx_j.orig_empty () || n == 0 || m == 0) | |
1848 { | |
1849 retval.resize_no_fill (n, m); | |
1850 } | |
5681 | 1851 else |
5164 | 1852 { |
5681 | 1853 int idx_i_colon = idx_i.is_colon_equiv (nr); |
1854 int idx_j_colon = idx_j.is_colon_equiv (nc); | |
1855 | |
1856 if (idx_i_colon && idx_j_colon) | |
1857 { | |
1858 retval = *this; | |
1859 } | |
1860 else | |
5164 | 1861 { |
5681 | 1862 // Identify if the indices have any repeated values |
1863 bool permutation = true; | |
1864 | |
1865 OCTAVE_LOCAL_BUFFER (octave_idx_type, itmp, | |
1866 (nr > nc ? nr : nc)); | |
7433 | 1867 octave_sort<octave_idx_type> lsort; |
5681 | 1868 |
1869 if (n > nr || m > nc) | |
1870 permutation = false; | |
1871 | |
1872 if (permutation && ! idx_i_colon) | |
1873 { | |
1874 // Can't use something like | |
1875 // idx_vector tmp_idx = idx_i; | |
1876 // tmp_idx.sort (true); | |
1877 // if (tmp_idx.length(nr) != n) | |
1878 // permutation = false; | |
1879 // here as there is no make_unique function | |
1880 // for idx_vector type. | |
1881 for (octave_idx_type i = 0; i < n; i++) | |
1882 itmp [i] = idx_i.elem (i); | |
7433 | 1883 lsort.sort (itmp, n); |
5681 | 1884 for (octave_idx_type i = 1; i < n; i++) |
1885 if (itmp[i-1] == itmp[i]) | |
1886 { | |
1887 permutation = false; | |
1888 break; | |
1889 } | |
1890 } | |
1891 if (permutation && ! idx_j_colon) | |
1892 { | |
1893 for (octave_idx_type i = 0; i < m; i++) | |
1894 itmp [i] = idx_j.elem (i); | |
7433 | 1895 lsort.sort (itmp, m); |
5681 | 1896 for (octave_idx_type i = 1; i < m; i++) |
1897 if (itmp[i-1] == itmp[i]) | |
1898 { | |
1899 permutation = false; | |
1900 break; | |
1901 } | |
1902 } | |
1903 | |
1904 if (permutation) | |
5164 | 1905 { |
5681 | 1906 // Special case permutation like indexing for speed |
1907 retval = Sparse<T> (n, m, nnz ()); | |
1908 octave_idx_type *ri = retval.xridx (); | |
1909 | |
5766 | 1910 std::vector<T> X (n); |
5681 | 1911 for (octave_idx_type i = 0; i < nr; i++) |
1912 itmp [i] = -1; | |
1913 for (octave_idx_type i = 0; i < n; i++) | |
1914 itmp[idx_i.elem(i)] = i; | |
1915 | |
1916 octave_idx_type kk = 0; | |
1917 retval.xcidx(0) = 0; | |
1918 for (octave_idx_type j = 0; j < m; j++) | |
1919 { | |
1920 octave_idx_type jj = idx_j.elem (j); | |
1921 for (octave_idx_type i = cidx(jj); i < cidx(jj+1); i++) | |
1922 { | |
6988 | 1923 OCTAVE_QUIT; |
1924 | |
5681 | 1925 octave_idx_type ii = itmp [ridx(i)]; |
1926 if (ii >= 0) | |
1927 { | |
1928 X [ii] = data (i); | |
1929 retval.xridx (kk++) = ii; | |
1930 } | |
1931 } | |
7433 | 1932 lsort.sort (ri + retval.xcidx (j), kk - retval.xcidx (j)); |
5681 | 1933 for (octave_idx_type p = retval.xcidx (j); p < kk; p++) |
1934 retval.xdata (p) = X [retval.xridx (p)]; | |
1935 retval.xcidx(j+1) = kk; | |
1936 } | |
1937 retval.maybe_compress (); | |
1938 } | |
1939 else | |
1940 { | |
6988 | 1941 OCTAVE_LOCAL_BUFFER (struct idx_node, nodes, n); |
1942 OCTAVE_LOCAL_BUFFER (octave_idx_type, start_nodes, nr); | |
1943 | |
1944 for (octave_idx_type i = 0; i < nr; i++) | |
1945 start_nodes[i] = -1; | |
1946 | |
1947 for (octave_idx_type i = 0; i < n; i++) | |
1948 { | |
1949 octave_idx_type ii = idx_i.elem (i); | |
1950 nodes[i].i = i; | |
1951 nodes[i].next = 0; | |
1952 | |
1953 octave_idx_type node = start_nodes[ii]; | |
1954 if (node == -1) | |
1955 start_nodes[ii] = i; | |
1956 else | |
1957 { | |
7322 | 1958 while (nodes[node].next) |
1959 node = nodes[node].next->i; | |
1960 nodes[node].next = nodes + i; | |
6988 | 1961 } |
1962 } | |
1963 | |
5681 | 1964 // First count the number of non-zero elements |
1965 octave_idx_type new_nzmx = 0; | |
1966 for (octave_idx_type j = 0; j < m; j++) | |
5164 | 1967 { |
5681 | 1968 octave_idx_type jj = idx_j.elem (j); |
6988 | 1969 |
1970 if (jj < nc) | |
5164 | 1971 { |
6988 | 1972 for (octave_idx_type i = cidx(jj); |
1973 i < cidx(jj+1); i++) | |
5681 | 1974 { |
6988 | 1975 OCTAVE_QUIT; |
1976 | |
1977 octave_idx_type ii = start_nodes [ridx(i)]; | |
1978 | |
1979 if (ii >= 0) | |
5681 | 1980 { |
6988 | 1981 struct idx_node inode = nodes[ii]; |
1982 | |
1983 while (true) | |
1984 { | |
7326 | 1985 if (idx_i.elem (inode.i) < nr) |
6988 | 1986 new_nzmx ++; |
1987 if (inode.next == 0) | |
1988 break; | |
1989 else | |
1990 inode = *inode.next; | |
1991 } | |
5681 | 1992 } |
1993 } | |
5164 | 1994 } |
1995 } | |
5681 | 1996 |
6988 | 1997 std::vector<T> X (n); |
5681 | 1998 retval = Sparse<T> (n, m, new_nzmx); |
6988 | 1999 octave_idx_type *ri = retval.xridx (); |
5681 | 2000 |
2001 octave_idx_type kk = 0; | |
2002 retval.xcidx(0) = 0; | |
2003 for (octave_idx_type j = 0; j < m; j++) | |
2004 { | |
2005 octave_idx_type jj = idx_j.elem (j); | |
6988 | 2006 if (jj < nc) |
5681 | 2007 { |
6988 | 2008 for (octave_idx_type i = cidx(jj); |
2009 i < cidx(jj+1); i++) | |
5681 | 2010 { |
6988 | 2011 OCTAVE_QUIT; |
2012 | |
2013 octave_idx_type ii = start_nodes [ridx(i)]; | |
2014 | |
2015 if (ii >= 0) | |
5681 | 2016 { |
6988 | 2017 struct idx_node inode = nodes[ii]; |
2018 | |
2019 while (true) | |
5681 | 2020 { |
7326 | 2021 if (idx_i.elem (inode.i) < nr) |
6988 | 2022 { |
2023 X [inode.i] = data (i); | |
2024 retval.xridx (kk++) = inode.i; | |
2025 } | |
2026 | |
2027 if (inode.next == 0) | |
2028 break; | |
2029 else | |
2030 inode = *inode.next; | |
5681 | 2031 } |
2032 } | |
2033 } | |
7433 | 2034 lsort.sort (ri + retval.xcidx (j), |
6988 | 2035 kk - retval.xcidx (j)); |
2036 for (octave_idx_type p = retval.xcidx (j); | |
2037 p < kk; p++) | |
2038 retval.xdata (p) = X [retval.xridx (p)]; | |
2039 retval.xcidx(j+1) = kk; | |
5681 | 2040 } |
2041 } | |
5164 | 2042 } |
2043 } | |
2044 } | |
2045 } | |
2046 // idx_vector::freeze() printed an error message for us. | |
2047 | |
2048 return retval; | |
2049 } | |
2050 | |
2051 template <class T> | |
2052 Sparse<T> | |
2053 Sparse<T>::index (Array<idx_vector>& ra_idx, int resize_ok) const | |
2054 { | |
2055 | |
2056 if (ra_idx.length () != 2) | |
2057 { | |
2058 (*current_liboctave_error_handler) ("range error for index"); | |
2059 return *this; | |
2060 } | |
2061 | |
2062 return index (ra_idx (0), ra_idx (1), resize_ok); | |
2063 } | |
2064 | |
7433 | 2065 // Can't use versions of these in Array.cc due to duplication of the |
2066 // instantiations for Array<double and Sparse<double>, etc | |
2067 template <class T> | |
2068 bool | |
2069 sparse_ascending_compare (T a, T b) | |
2070 { | |
2071 return (a < b); | |
2072 } | |
2073 | |
2074 template <class T> | |
2075 bool | |
2076 sparse_descending_compare (T a, T b) | |
2077 { | |
2078 return (a > b); | |
2079 } | |
2080 | |
2081 template <class T> | |
2082 bool | |
2083 sparse_ascending_compare (vec_index<T> *a, vec_index<T> *b) | |
2084 { | |
2085 return (a->vec < b->vec); | |
2086 } | |
2087 | |
2088 template <class T> | |
2089 bool | |
2090 sparse_descending_compare (vec_index<T> *a, vec_index<T> *b) | |
2091 { | |
2092 return (a->vec > b->vec); | |
2093 } | |
2094 | |
2095 template <class T> | |
2096 Sparse<T> | |
2097 Sparse<T>::sort (octave_idx_type dim, sortmode mode) const | |
2098 { | |
2099 Sparse<T> m = *this; | |
2100 | |
2101 octave_idx_type nr = m.rows (); | |
2102 octave_idx_type nc = m.columns (); | |
2103 | |
2104 if (m.length () < 1) | |
2105 return m; | |
2106 | |
2107 if (dim > 0) | |
2108 { | |
2109 m = m.transpose (); | |
2110 nr = m.rows (); | |
2111 nc = m.columns (); | |
2112 } | |
2113 | |
2114 octave_sort<T> lsort; | |
2115 | |
2116 if (mode == ASCENDING) | |
2117 lsort.set_compare (sparse_ascending_compare); | |
2118 else if (mode == DESCENDING) | |
2119 lsort.set_compare (sparse_descending_compare); | |
7463
2467639bd8c0
eliminate UNDEFINED sort mode
John W. Eaton <jwe@octave.org>
parents:
7433
diff
changeset
|
2120 else |
2467639bd8c0
eliminate UNDEFINED sort mode
John W. Eaton <jwe@octave.org>
parents:
7433
diff
changeset
|
2121 abort (); |
7433 | 2122 |
2123 T *v = m.data (); | |
2124 octave_idx_type *mcidx = m.cidx (); | |
2125 octave_idx_type *mridx = m.ridx (); | |
2126 | |
2127 for (octave_idx_type j = 0; j < nc; j++) | |
2128 { | |
2129 octave_idx_type ns = mcidx [j + 1] - mcidx [j]; | |
2130 lsort.sort (v, ns); | |
2131 | |
2132 octave_idx_type i; | |
2133 if (mode == ASCENDING) | |
2134 { | |
2135 for (i = 0; i < ns; i++) | |
2136 if (sparse_ascending_compare (static_cast<T> (0), v [i])) | |
2137 break; | |
2138 } | |
2139 else | |
2140 { | |
2141 for (i = 0; i < ns; i++) | |
2142 if (sparse_descending_compare (static_cast<T> (0), v [i])) | |
2143 break; | |
2144 } | |
2145 for (octave_idx_type k = 0; k < i; k++) | |
2146 mridx [k] = k; | |
2147 for (octave_idx_type k = i; k < ns; k++) | |
2148 mridx [k] = k - ns + nr; | |
2149 | |
2150 v += ns; | |
2151 mridx += ns; | |
2152 } | |
2153 | |
2154 if (dim > 0) | |
2155 m = m.transpose (); | |
2156 | |
2157 return m; | |
2158 } | |
2159 | |
2160 template <class T> | |
2161 Sparse<T> | |
2162 Sparse<T>::sort (Array<octave_idx_type> &sidx, octave_idx_type dim, | |
2163 sortmode mode) const | |
2164 { | |
2165 Sparse<T> m = *this; | |
2166 | |
2167 octave_idx_type nr = m.rows (); | |
2168 octave_idx_type nc = m.columns (); | |
2169 | |
2170 if (m.length () < 1) | |
2171 { | |
2172 sidx = Array<octave_idx_type> (dim_vector (nr, nc)); | |
2173 return m; | |
2174 } | |
2175 | |
2176 if (dim > 0) | |
2177 { | |
2178 m = m.transpose (); | |
2179 nr = m.rows (); | |
2180 nc = m.columns (); | |
2181 } | |
2182 | |
2183 octave_sort<vec_index<T> *> indexed_sort; | |
2184 | |
2185 if (mode == ASCENDING) | |
2186 indexed_sort.set_compare (sparse_ascending_compare); | |
2187 else if (mode == DESCENDING) | |
2188 indexed_sort.set_compare (sparse_descending_compare); | |
7463
2467639bd8c0
eliminate UNDEFINED sort mode
John W. Eaton <jwe@octave.org>
parents:
7433
diff
changeset
|
2189 else |
2467639bd8c0
eliminate UNDEFINED sort mode
John W. Eaton <jwe@octave.org>
parents:
7433
diff
changeset
|
2190 abort (); |
7433 | 2191 |
2192 T *v = m.data (); | |
2193 octave_idx_type *mcidx = m.cidx (); | |
2194 octave_idx_type *mridx = m.ridx (); | |
2195 | |
2196 OCTAVE_LOCAL_BUFFER (vec_index<T> *, vi, nr); | |
2197 OCTAVE_LOCAL_BUFFER (vec_index<T>, vix, nr); | |
2198 | |
2199 for (octave_idx_type i = 0; i < nr; i++) | |
2200 vi[i] = &vix[i]; | |
2201 | |
2202 sidx = Array<octave_idx_type> (dim_vector (nr, nc)); | |
2203 | |
2204 for (octave_idx_type j = 0; j < nc; j++) | |
2205 { | |
2206 octave_idx_type ns = mcidx [j + 1] - mcidx [j]; | |
2207 octave_idx_type offset = j * nr; | |
2208 | |
2209 if (ns == 0) | |
2210 { | |
2211 for (octave_idx_type k = 0; k < nr; k++) | |
2212 sidx (offset + k) = k; | |
2213 } | |
2214 else | |
2215 { | |
2216 for (octave_idx_type i = 0; i < ns; i++) | |
2217 { | |
2218 vi[i]->vec = v[i]; | |
2219 vi[i]->indx = mridx[i]; | |
2220 } | |
2221 | |
2222 indexed_sort.sort (vi, ns); | |
2223 | |
2224 octave_idx_type i; | |
2225 if (mode == ASCENDING) | |
2226 { | |
2227 for (i = 0; i < ns; i++) | |
2228 if (sparse_ascending_compare (static_cast<T> (0), | |
2229 vi [i] -> vec)) | |
2230 break; | |
2231 } | |
2232 else | |
2233 { | |
2234 for (i = 0; i < ns; i++) | |
2235 if (sparse_descending_compare (static_cast<T> (0), | |
2236 vi [i] -> vec)) | |
2237 break; | |
2238 } | |
2239 | |
2240 octave_idx_type ii = 0; | |
2241 octave_idx_type jj = i; | |
2242 for (octave_idx_type k = 0; k < nr; k++) | |
2243 { | |
2244 if (ii < ns && mridx[ii] == k) | |
2245 ii++; | |
2246 else | |
2247 sidx (offset + jj++) = k; | |
2248 } | |
2249 | |
2250 for (octave_idx_type k = 0; k < i; k++) | |
2251 { | |
2252 v [k] = vi [k] -> vec; | |
2253 sidx (k + offset) = vi [k] -> indx; | |
2254 mridx [k] = k; | |
2255 } | |
2256 | |
2257 for (octave_idx_type k = i; k < ns; k++) | |
2258 { | |
2259 v [k] = vi [k] -> vec; | |
2260 sidx (k - ns + nr + offset) = vi [k] -> indx; | |
2261 mridx [k] = k - ns + nr; | |
2262 } | |
2263 | |
2264 v += ns; | |
2265 mridx += ns; | |
2266 } | |
2267 } | |
2268 | |
2269 if (dim > 0) | |
2270 { | |
2271 m = m.transpose (); | |
2272 sidx = sidx.transpose (); | |
2273 } | |
2274 | |
2275 return m; | |
2276 } | |
2277 | |
7620
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2278 template <class T> |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2279 Sparse<T> |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2280 Sparse<T>::diag (octave_idx_type k) const |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2281 { |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2282 octave_idx_type nnr = rows (); |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2283 octave_idx_type nnc = cols (); |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2284 Sparse<T> d; |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2285 |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2286 if (nnr == 0 || nnc == 0) |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2287 ; // do nothing |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2288 else if (nnr != 1 && nnc != 1) |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2289 { |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2290 if (k > 0) |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2291 nnc -= k; |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2292 else if (k < 0) |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2293 nnr += k; |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2294 |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2295 if (nnr > 0 && nnc > 0) |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2296 { |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2297 octave_idx_type ndiag = (nnr < nnc) ? nnr : nnc; |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2298 |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2299 // Count the number of non-zero elements |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2300 octave_idx_type nel = 0; |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2301 if (k > 0) |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2302 { |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2303 for (octave_idx_type i = 0; i < ndiag; i++) |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2304 if (elem (i, i+k) != 0.) |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2305 nel++; |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2306 } |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2307 else if ( k < 0) |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2308 { |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2309 for (octave_idx_type i = 0; i < ndiag; i++) |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2310 if (elem (i-k, i) != 0.) |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2311 nel++; |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2312 } |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2313 else |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2314 { |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2315 for (octave_idx_type i = 0; i < ndiag; i++) |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2316 if (elem (i, i) != 0.) |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2317 nel++; |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2318 } |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2319 |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2320 d = Sparse<T> (ndiag, 1, nel); |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2321 d.xcidx (0) = 0; |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2322 d.xcidx (1) = nel; |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2323 |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2324 octave_idx_type ii = 0; |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2325 if (k > 0) |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2326 { |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2327 for (octave_idx_type i = 0; i < ndiag; i++) |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2328 { |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2329 T tmp = elem (i, i+k); |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2330 if (tmp != 0.) |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2331 { |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2332 d.xdata (ii) = tmp; |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2333 d.xridx (ii++) = i; |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2334 } |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2335 } |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2336 } |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2337 else if ( k < 0) |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2338 { |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2339 for (octave_idx_type i = 0; i < ndiag; i++) |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2340 { |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2341 T tmp = elem (i-k, i); |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2342 if (tmp != 0.) |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2343 { |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2344 d.xdata (ii) = tmp; |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2345 d.xridx (ii++) = i; |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2346 } |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2347 } |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2348 } |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2349 else |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2350 { |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2351 for (octave_idx_type i = 0; i < ndiag; i++) |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2352 { |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2353 T tmp = elem (i, i); |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2354 if (tmp != 0.) |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2355 { |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2356 d.xdata (ii) = tmp; |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2357 d.xridx (ii++) = i; |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2358 } |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2359 } |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2360 } |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2361 } |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2362 else |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2363 (*current_liboctave_error_handler) |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2364 ("diag: requested diagonal out of range"); |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2365 } |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2366 else if (nnr != 0 && nnc != 0) |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2367 { |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2368 octave_idx_type roff = 0; |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2369 octave_idx_type coff = 0; |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2370 if (k > 0) |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2371 { |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2372 roff = 0; |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2373 coff = k; |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2374 } |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2375 else if (k < 0) |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2376 { |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2377 roff = -k; |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2378 coff = 0; |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2379 } |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2380 |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2381 if (nnr == 1) |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2382 { |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2383 octave_idx_type n = nnc + std::abs (k); |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2384 octave_idx_type nz = nzmax (); |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2385 d = Sparse<T> (n, n, nz); |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2386 for (octave_idx_type i = 0; i < coff+1; i++) |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2387 d.xcidx (i) = 0; |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2388 for (octave_idx_type j = 0; j < nnc; j++) |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2389 { |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2390 for (octave_idx_type i = cidx(j); i < cidx(j+1); i++) |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2391 { |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2392 d.xdata (i) = data (i); |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2393 d.xridx (i) = j + roff; |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2394 } |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2395 d.xcidx (j + coff + 1) = cidx(j+1); |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2396 } |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2397 for (octave_idx_type i = nnc + coff + 1; i < n + 1; i++) |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2398 d.xcidx (i) = nz; |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2399 } |
36594d5bbe13
Move diag function into the octave_value class
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parents:
7573
diff
changeset
|
2400 else |
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Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2401 { |
36594d5bbe13
Move diag function into the octave_value class
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parents:
7573
diff
changeset
|
2402 octave_idx_type n = nnr + std::abs (k); |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2403 octave_idx_type nz = nzmax (); |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2404 octave_idx_type ii = 0; |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2405 octave_idx_type ir = ridx(0); |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2406 d = Sparse<T> (n, n, nz); |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2407 for (octave_idx_type i = 0; i < coff+1; i++) |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2408 d.xcidx (i) = 0; |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2409 for (octave_idx_type i = 0; i < nnr; i++) |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2410 { |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2411 if (ir == i) |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2412 { |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2413 d.xdata (ii) = data (ii); |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2414 d.xridx (ii++) = ir + roff; |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2415 if (ii != nz) |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2416 ir = ridx (ii); |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2417 } |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2418 d.xcidx (i + coff + 1) = ii; |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2419 } |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2420 for (octave_idx_type i = nnr + coff + 1; i < n+1; i++) |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2421 d.xcidx (i) = nz; |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2422 } |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2423 } |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2424 |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2425 return d; |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2426 } |
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7573
diff
changeset
|
2427 |
5775 | 2428 // FIXME |
5164 | 2429 // Unfortunately numel can overflow for very large but very sparse matrices. |
2430 // For now just flag an error when this happens. | |
2431 template <class LT, class RT> | |
2432 int | |
2433 assign1 (Sparse<LT>& lhs, const Sparse<RT>& rhs) | |
2434 { | |
2435 int retval = 1; | |
2436 | |
2437 idx_vector *idx_tmp = lhs.get_idx (); | |
2438 | |
2439 idx_vector lhs_idx = idx_tmp[0]; | |
2440 | |
5275 | 2441 octave_idx_type lhs_len = lhs.numel (); |
2442 octave_idx_type rhs_len = rhs.numel (); | |
5164 | 2443 |
5828 | 2444 uint64_t long_lhs_len = |
2445 static_cast<uint64_t> (lhs.rows ()) * | |
2446 static_cast<uint64_t> (lhs.cols ()); | |
2447 | |
2448 uint64_t long_rhs_len = | |
2449 static_cast<uint64_t> (rhs.rows ()) * | |
2450 static_cast<uint64_t> (rhs.cols ()); | |
2451 | |
2452 if (long_rhs_len != static_cast<uint64_t>(rhs_len) || | |
2453 long_lhs_len != static_cast<uint64_t>(lhs_len)) | |
5164 | 2454 { |
2455 (*current_liboctave_error_handler) | |
2456 ("A(I) = X: Matrix dimensions too large to ensure correct\n", | |
2457 "operation. This is an limitation that should be removed\n", | |
2458 "in the future."); | |
2459 | |
2460 lhs.clear_index (); | |
2461 return 0; | |
2462 } | |
2463 | |
5275 | 2464 octave_idx_type nr = lhs.rows (); |
2465 octave_idx_type nc = lhs.cols (); | |
5681 | 2466 octave_idx_type nz = lhs.nnz (); |
5275 | 2467 |
5781 | 2468 octave_idx_type n = lhs_idx.freeze (lhs_len, "vector", true); |
5164 | 2469 |
2470 if (n != 0) | |
2471 { | |
5275 | 2472 octave_idx_type max_idx = lhs_idx.max () + 1; |
5164 | 2473 max_idx = max_idx < lhs_len ? lhs_len : max_idx; |
2474 | |
2475 // Take a constant copy of lhs. This means that elem won't | |
2476 // create missing elements. | |
2477 const Sparse<LT> c_lhs (lhs); | |
2478 | |
2479 if (rhs_len == n) | |
2480 { | |
5681 | 2481 octave_idx_type new_nzmx = lhs.nnz (); |
5164 | 2482 |
5603 | 2483 OCTAVE_LOCAL_BUFFER (octave_idx_type, rhs_idx, n); |
2484 if (! lhs_idx.is_colon ()) | |
2485 { | |
2486 // Ok here we have to be careful with the indexing, | |
2487 // to treat cases like "a([3,2,1]) = b", and still | |
2488 // handle the need for strict sorting of the sparse | |
2489 // elements. | |
2490 OCTAVE_LOCAL_BUFFER (octave_idx_vector_sort *, sidx, n); | |
2491 OCTAVE_LOCAL_BUFFER (octave_idx_vector_sort, sidxX, n); | |
2492 | |
2493 for (octave_idx_type i = 0; i < n; i++) | |
2494 { | |
2495 sidx[i] = &sidxX[i]; | |
2496 sidx[i]->i = lhs_idx.elem(i); | |
2497 sidx[i]->idx = i; | |
2498 } | |
2499 | |
2500 OCTAVE_QUIT; | |
2501 octave_sort<octave_idx_vector_sort *> | |
2502 sort (octave_idx_vector_comp); | |
2503 | |
2504 sort.sort (sidx, n); | |
2505 | |
2506 intNDArray<octave_idx_type> new_idx (dim_vector (n,1)); | |
2507 | |
2508 for (octave_idx_type i = 0; i < n; i++) | |
2509 { | |
2510 new_idx.xelem(i) = sidx[i]->i + 1; | |
2511 rhs_idx[i] = sidx[i]->idx; | |
2512 } | |
2513 | |
2514 lhs_idx = idx_vector (new_idx); | |
2515 } | |
2516 else | |
2517 for (octave_idx_type i = 0; i < n; i++) | |
2518 rhs_idx[i] = i; | |
2519 | |
5164 | 2520 // First count the number of non-zero elements |
5275 | 2521 for (octave_idx_type i = 0; i < n; i++) |
5164 | 2522 { |
2523 OCTAVE_QUIT; | |
2524 | |
5275 | 2525 octave_idx_type ii = lhs_idx.elem (i); |
7546
4249c6fb6e09
Treat repeated indices in the sparse assignments
David Bateman <dbateman@free.fr>
parents:
7463
diff
changeset
|
2526 if (i < n - 1 && lhs_idx.elem (i + 1) == ii) |
4249c6fb6e09
Treat repeated indices in the sparse assignments
David Bateman <dbateman@free.fr>
parents:
7463
diff
changeset
|
2527 continue; |
5164 | 2528 if (ii < lhs_len && c_lhs.elem(ii) != LT ()) |
5604 | 2529 new_nzmx--; |
5603 | 2530 if (rhs.elem(rhs_idx[i]) != RT ()) |
5604 | 2531 new_nzmx++; |
5164 | 2532 } |
2533 | |
2534 if (nr > 1) | |
2535 { | |
7246 | 2536 Sparse<LT> tmp ((max_idx > nr ? max_idx : nr), 1, new_nzmx); |
5164 | 2537 tmp.cidx(0) = 0; |
5681 | 2538 tmp.cidx(1) = new_nzmx; |
5164 | 2539 |
5275 | 2540 octave_idx_type i = 0; |
2541 octave_idx_type ii = 0; | |
5164 | 2542 if (i < nz) |
2543 ii = c_lhs.ridx(i); | |
2544 | |
5275 | 2545 octave_idx_type j = 0; |
2546 octave_idx_type jj = lhs_idx.elem(j); | |
2547 | |
2548 octave_idx_type kk = 0; | |
5164 | 2549 |
2550 while (j < n || i < nz) | |
2551 { | |
7546
4249c6fb6e09
Treat repeated indices in the sparse assignments
David Bateman <dbateman@free.fr>
parents:
7463
diff
changeset
|
2552 if (j < n - 1 && lhs_idx.elem (j + 1) == jj) |
4249c6fb6e09
Treat repeated indices in the sparse assignments
David Bateman <dbateman@free.fr>
parents:
7463
diff
changeset
|
2553 { |
4249c6fb6e09
Treat repeated indices in the sparse assignments
David Bateman <dbateman@free.fr>
parents:
7463
diff
changeset
|
2554 j++; |
4249c6fb6e09
Treat repeated indices in the sparse assignments
David Bateman <dbateman@free.fr>
parents:
7463
diff
changeset
|
2555 jj = lhs_idx.elem (j); |
4249c6fb6e09
Treat repeated indices in the sparse assignments
David Bateman <dbateman@free.fr>
parents:
7463
diff
changeset
|
2556 continue; |
4249c6fb6e09
Treat repeated indices in the sparse assignments
David Bateman <dbateman@free.fr>
parents:
7463
diff
changeset
|
2557 } |
5164 | 2558 if (j == n || (i < nz && ii < jj)) |
2559 { | |
2560 tmp.xdata (kk) = c_lhs.data (i); | |
2561 tmp.xridx (kk++) = ii; | |
2562 if (++i < nz) | |
2563 ii = c_lhs.ridx(i); | |
2564 } | |
2565 else | |
2566 { | |
5603 | 2567 RT rtmp = rhs.elem (rhs_idx[j]); |
5164 | 2568 if (rtmp != RT ()) |
2569 { | |
2570 tmp.xdata (kk) = rtmp; | |
2571 tmp.xridx (kk++) = jj; | |
2572 } | |
2573 | |
2574 if (ii == jj && i < nz) | |
2575 if (++i < nz) | |
2576 ii = c_lhs.ridx(i); | |
2577 if (++j < n) | |
2578 jj = lhs_idx.elem(j); | |
2579 } | |
2580 } | |
2581 | |
2582 lhs = tmp; | |
2583 } | |
2584 else | |
2585 { | |
7246 | 2586 Sparse<LT> tmp (1, (max_idx > nc ? max_idx : nc), new_nzmx); |
5164 | 2587 |
5275 | 2588 octave_idx_type i = 0; |
2589 octave_idx_type ii = 0; | |
5164 | 2590 while (ii < nc && c_lhs.cidx(ii+1) <= i) |
2591 ii++; | |
2592 | |
5275 | 2593 octave_idx_type j = 0; |
2594 octave_idx_type jj = lhs_idx.elem(j); | |
2595 | |
2596 octave_idx_type kk = 0; | |
2597 octave_idx_type ic = 0; | |
5164 | 2598 |
2599 while (j < n || i < nz) | |
2600 { | |
7546
4249c6fb6e09
Treat repeated indices in the sparse assignments
David Bateman <dbateman@free.fr>
parents:
7463
diff
changeset
|
2601 if (j < n - 1 && lhs_idx.elem (j + 1) == jj) |
4249c6fb6e09
Treat repeated indices in the sparse assignments
David Bateman <dbateman@free.fr>
parents:
7463
diff
changeset
|
2602 { |
4249c6fb6e09
Treat repeated indices in the sparse assignments
David Bateman <dbateman@free.fr>
parents:
7463
diff
changeset
|
2603 j++; |
4249c6fb6e09
Treat repeated indices in the sparse assignments
David Bateman <dbateman@free.fr>
parents:
7463
diff
changeset
|
2604 jj = lhs_idx.elem (j); |
4249c6fb6e09
Treat repeated indices in the sparse assignments
David Bateman <dbateman@free.fr>
parents:
7463
diff
changeset
|
2605 continue; |
4249c6fb6e09
Treat repeated indices in the sparse assignments
David Bateman <dbateman@free.fr>
parents:
7463
diff
changeset
|
2606 } |
5164 | 2607 if (j == n || (i < nz && ii < jj)) |
2608 { | |
2609 while (ic <= ii) | |
2610 tmp.xcidx (ic++) = kk; | |
2611 tmp.xdata (kk) = c_lhs.data (i); | |
5603 | 2612 tmp.xridx (kk++) = 0; |
5164 | 2613 i++; |
2614 while (ii < nc && c_lhs.cidx(ii+1) <= i) | |
2615 ii++; | |
2616 } | |
2617 else | |
2618 { | |
2619 while (ic <= jj) | |
2620 tmp.xcidx (ic++) = kk; | |
2621 | |
5603 | 2622 RT rtmp = rhs.elem (rhs_idx[j]); |
5164 | 2623 if (rtmp != RT ()) |
5603 | 2624 { |
2625 tmp.xdata (kk) = rtmp; | |
2626 tmp.xridx (kk++) = 0; | |
2627 } | |
5164 | 2628 if (ii == jj) |
2629 { | |
2630 i++; | |
2631 while (ii < nc && c_lhs.cidx(ii+1) <= i) | |
2632 ii++; | |
2633 } | |
2634 j++; | |
2635 if (j < n) | |
2636 jj = lhs_idx.elem(j); | |
2637 } | |
2638 } | |
2639 | |
5275 | 2640 for (octave_idx_type iidx = ic; iidx < max_idx+1; iidx++) |
5164 | 2641 tmp.xcidx(iidx) = kk; |
2642 | |
2643 lhs = tmp; | |
2644 } | |
2645 } | |
2646 else if (rhs_len == 1) | |
2647 { | |
5681 | 2648 octave_idx_type new_nzmx = lhs.nnz (); |
5164 | 2649 RT scalar = rhs.elem (0); |
2650 bool scalar_non_zero = (scalar != RT ()); | |
5603 | 2651 lhs_idx.sort (true); |
7546
4249c6fb6e09
Treat repeated indices in the sparse assignments
David Bateman <dbateman@free.fr>
parents:
7463
diff
changeset
|
2652 n = lhs_idx.length (n); |
5164 | 2653 |
2654 // First count the number of non-zero elements | |
2655 if (scalar != RT ()) | |
5604 | 2656 new_nzmx += n; |
5275 | 2657 for (octave_idx_type i = 0; i < n; i++) |
5164 | 2658 { |
2659 OCTAVE_QUIT; | |
2660 | |
5275 | 2661 octave_idx_type ii = lhs_idx.elem (i); |
5164 | 2662 if (ii < lhs_len && c_lhs.elem(ii) != LT ()) |
5604 | 2663 new_nzmx--; |
5164 | 2664 } |
2665 | |
2666 if (nr > 1) | |
2667 { | |
7246 | 2668 Sparse<LT> tmp ((max_idx > nr ? max_idx : nr), 1, new_nzmx); |
5164 | 2669 tmp.cidx(0) = 0; |
5681 | 2670 tmp.cidx(1) = new_nzmx; |
5164 | 2671 |
5275 | 2672 octave_idx_type i = 0; |
2673 octave_idx_type ii = 0; | |
5164 | 2674 if (i < nz) |
2675 ii = c_lhs.ridx(i); | |
2676 | |
5275 | 2677 octave_idx_type j = 0; |
2678 octave_idx_type jj = lhs_idx.elem(j); | |
2679 | |
2680 octave_idx_type kk = 0; | |
5164 | 2681 |
2682 while (j < n || i < nz) | |
2683 { | |
2684 if (j == n || (i < nz && ii < jj)) | |
2685 { | |
2686 tmp.xdata (kk) = c_lhs.data (i); | |
2687 tmp.xridx (kk++) = ii; | |
2688 if (++i < nz) | |
2689 ii = c_lhs.ridx(i); | |
2690 } | |
2691 else | |
2692 { | |
2693 if (scalar_non_zero) | |
2694 { | |
2695 tmp.xdata (kk) = scalar; | |
2696 tmp.xridx (kk++) = jj; | |
2697 } | |
2698 | |
2699 if (ii == jj && i < nz) | |
2700 if (++i < nz) | |
2701 ii = c_lhs.ridx(i); | |
2702 if (++j < n) | |
2703 jj = lhs_idx.elem(j); | |
2704 } | |
2705 } | |
2706 | |
2707 lhs = tmp; | |
2708 } | |
2709 else | |
2710 { | |
7246 | 2711 Sparse<LT> tmp (1, (max_idx > nc ? max_idx : nc), new_nzmx); |
5164 | 2712 |
5275 | 2713 octave_idx_type i = 0; |
2714 octave_idx_type ii = 0; | |
5164 | 2715 while (ii < nc && c_lhs.cidx(ii+1) <= i) |
2716 ii++; | |
2717 | |
5275 | 2718 octave_idx_type j = 0; |
2719 octave_idx_type jj = lhs_idx.elem(j); | |
2720 | |
2721 octave_idx_type kk = 0; | |
2722 octave_idx_type ic = 0; | |
5164 | 2723 |
2724 while (j < n || i < nz) | |
2725 { | |
2726 if (j == n || (i < nz && ii < jj)) | |
2727 { | |
2728 while (ic <= ii) | |
2729 tmp.xcidx (ic++) = kk; | |
2730 tmp.xdata (kk) = c_lhs.data (i); | |
2731 i++; | |
2732 while (ii < nc && c_lhs.cidx(ii+1) <= i) | |
2733 ii++; | |
2734 } | |
2735 else | |
2736 { | |
2737 while (ic <= jj) | |
2738 tmp.xcidx (ic++) = kk; | |
2739 if (scalar_non_zero) | |
2740 tmp.xdata (kk) = scalar; | |
2741 if (ii == jj) | |
2742 { | |
2743 i++; | |
2744 while (ii < nc && c_lhs.cidx(ii+1) <= i) | |
2745 ii++; | |
2746 } | |
2747 j++; | |
2748 if (j < n) | |
2749 jj = lhs_idx.elem(j); | |
2750 } | |
2751 tmp.xridx (kk++) = 0; | |
2752 } | |
2753 | |
5275 | 2754 for (octave_idx_type iidx = ic; iidx < max_idx+1; iidx++) |
5164 | 2755 tmp.xcidx(iidx) = kk; |
2756 | |
2757 lhs = tmp; | |
2758 } | |
2759 } | |
2760 else | |
2761 { | |
2762 (*current_liboctave_error_handler) | |
2763 ("A(I) = X: X must be a scalar or a vector with same length as I"); | |
2764 | |
2765 retval = 0; | |
2766 } | |
2767 } | |
2768 else if (lhs_idx.is_colon ()) | |
2769 { | |
2770 if (lhs_len == 0) | |
2771 { | |
2772 | |
5681 | 2773 octave_idx_type new_nzmx = rhs.nnz (); |
5604 | 2774 Sparse<LT> tmp (1, rhs_len, new_nzmx); |
5164 | 2775 |
5275 | 2776 octave_idx_type ii = 0; |
2777 octave_idx_type jj = 0; | |
2778 for (octave_idx_type i = 0; i < rhs.cols(); i++) | |
2779 for (octave_idx_type j = rhs.cidx(i); j < rhs.cidx(i+1); j++) | |
5164 | 2780 { |
2781 OCTAVE_QUIT; | |
5275 | 2782 for (octave_idx_type k = jj; k <= i * rhs.rows() + rhs.ridx(j); k++) |
5164 | 2783 tmp.cidx(jj++) = ii; |
2784 | |
2785 tmp.data(ii) = rhs.data(j); | |
2786 tmp.ridx(ii++) = 0; | |
2787 } | |
2788 | |
5275 | 2789 for (octave_idx_type i = jj; i < rhs_len + 1; i++) |
5164 | 2790 tmp.cidx(i) = ii; |
2791 | |
2792 lhs = tmp; | |
2793 } | |
2794 else | |
2795 (*current_liboctave_error_handler) | |
2796 ("A(:) = X: A must be the same size as X"); | |
2797 } | |
2798 else if (! (rhs_len == 1 || rhs_len == 0)) | |
2799 { | |
2800 (*current_liboctave_error_handler) | |
2801 ("A([]) = X: X must also be an empty matrix or a scalar"); | |
2802 | |
2803 retval = 0; | |
2804 } | |
2805 | |
2806 lhs.clear_index (); | |
2807 | |
2808 return retval; | |
2809 } | |
2810 | |
2811 template <class LT, class RT> | |
2812 int | |
2813 assign (Sparse<LT>& lhs, const Sparse<RT>& rhs) | |
2814 { | |
2815 int retval = 1; | |
2816 | |
2817 int n_idx = lhs.index_count (); | |
2818 | |
5275 | 2819 octave_idx_type lhs_nr = lhs.rows (); |
2820 octave_idx_type lhs_nc = lhs.cols (); | |
5681 | 2821 octave_idx_type lhs_nz = lhs.nnz (); |
5275 | 2822 |
2823 octave_idx_type rhs_nr = rhs.rows (); | |
2824 octave_idx_type rhs_nc = rhs.cols (); | |
5164 | 2825 |
2826 idx_vector *tmp = lhs.get_idx (); | |
2827 | |
2828 idx_vector idx_i; | |
2829 idx_vector idx_j; | |
2830 | |
2831 if (n_idx > 2) | |
2832 { | |
2833 (*current_liboctave_error_handler) | |
2834 ("A(I, J) = X: can only have 1 or 2 indexes for sparse matrices"); | |
6092 | 2835 |
2836 lhs.clear_index (); | |
5164 | 2837 return 0; |
2838 } | |
2839 | |
2840 if (n_idx > 1) | |
2841 idx_j = tmp[1]; | |
2842 | |
2843 if (n_idx > 0) | |
2844 idx_i = tmp[0]; | |
2845 | |
6988 | 2846 // Take a constant copy of lhs. This means that ridx and family won't |
2847 // call make_unique. | |
2848 const Sparse<LT> c_lhs (lhs); | |
2849 | |
5164 | 2850 if (n_idx == 2) |
2851 { | |
5781 | 2852 octave_idx_type n = idx_i.freeze (lhs_nr, "row", true); |
2853 octave_idx_type m = idx_j.freeze (lhs_nc, "column", true); | |
5164 | 2854 |
2855 int idx_i_is_colon = idx_i.is_colon (); | |
2856 int idx_j_is_colon = idx_j.is_colon (); | |
2857 | |
7238 | 2858 if (lhs_nr == 0 && lhs_nc == 0) |
2859 { | |
2860 if (idx_i_is_colon) | |
2861 n = rhs_nr; | |
2862 | |
2863 if (idx_j_is_colon) | |
2864 m = rhs_nc; | |
2865 } | |
5164 | 2866 |
2867 if (idx_i && idx_j) | |
2868 { | |
2869 if (rhs_nr == 0 && rhs_nc == 0) | |
2870 { | |
2871 lhs.maybe_delete_elements (idx_i, idx_j); | |
2872 } | |
2873 else | |
2874 { | |
2875 if (rhs_nr == 1 && rhs_nc == 1 && n >= 0 && m >= 0) | |
2876 { | |
2877 if (n > 0 && m > 0) | |
2878 { | |
5603 | 2879 idx_i.sort (true); |
7546
4249c6fb6e09
Treat repeated indices in the sparse assignments
David Bateman <dbateman@free.fr>
parents:
7463
diff
changeset
|
2880 n = idx_i.length (n); |
5603 | 2881 idx_j.sort (true); |
7546
4249c6fb6e09
Treat repeated indices in the sparse assignments
David Bateman <dbateman@free.fr>
parents:
7463
diff
changeset
|
2882 m = idx_j.length (m); |
5603 | 2883 |
5275 | 2884 octave_idx_type max_row_idx = idx_i_is_colon ? rhs_nr : |
5164 | 2885 idx_i.max () + 1; |
5275 | 2886 octave_idx_type max_col_idx = idx_j_is_colon ? rhs_nc : |
5164 | 2887 idx_j.max () + 1; |
5603 | 2888 octave_idx_type new_nr = max_row_idx > lhs_nr ? |
2889 max_row_idx : lhs_nr; | |
2890 octave_idx_type new_nc = max_col_idx > lhs_nc ? | |
2891 max_col_idx : lhs_nc; | |
5164 | 2892 RT scalar = rhs.elem (0, 0); |
2893 | |
2894 // Count the number of non-zero terms | |
5681 | 2895 octave_idx_type new_nzmx = lhs.nnz (); |
5275 | 2896 for (octave_idx_type j = 0; j < m; j++) |
5164 | 2897 { |
5275 | 2898 octave_idx_type jj = idx_j.elem (j); |
5164 | 2899 if (jj < lhs_nc) |
2900 { | |
5275 | 2901 for (octave_idx_type i = 0; i < n; i++) |
5164 | 2902 { |
2903 OCTAVE_QUIT; | |
2904 | |
5275 | 2905 octave_idx_type ii = idx_i.elem (i); |
5164 | 2906 |
2907 if (ii < lhs_nr) | |
2908 { | |
6988 | 2909 for (octave_idx_type k = c_lhs.cidx(jj); |
2910 k < c_lhs.cidx(jj+1); k++) | |
5164 | 2911 { |
6988 | 2912 if (c_lhs.ridx(k) == ii) |
5604 | 2913 new_nzmx--; |
6988 | 2914 if (c_lhs.ridx(k) >= ii) |
5164 | 2915 break; |
2916 } | |
2917 } | |
2918 } | |
2919 } | |
2920 } | |
2921 | |
2922 if (scalar != RT()) | |
5604 | 2923 new_nzmx += m * n; |
2924 | |
2925 Sparse<LT> stmp (new_nr, new_nc, new_nzmx); | |
5164 | 2926 |
5275 | 2927 octave_idx_type jji = 0; |
2928 octave_idx_type jj = idx_j.elem (jji); | |
2929 octave_idx_type kk = 0; | |
5164 | 2930 stmp.cidx(0) = 0; |
5275 | 2931 for (octave_idx_type j = 0; j < new_nc; j++) |
5164 | 2932 { |
2933 if (jji < m && jj == j) | |
2934 { | |
5275 | 2935 octave_idx_type iii = 0; |
2936 octave_idx_type ii = idx_i.elem (iii); | |
5760 | 2937 octave_idx_type ppp = 0; |
6092 | 2938 octave_idx_type ppi = (j >= lhs_nc ? 0 : |
6988 | 2939 c_lhs.cidx(j+1) - |
2940 c_lhs.cidx(j)); | |
5760 | 2941 octave_idx_type pp = (ppp < ppi ? |
6988 | 2942 c_lhs.ridx(c_lhs.cidx(j)+ppp) : |
2943 new_nr); | |
5760 | 2944 while (ppp < ppi || iii < n) |
5164 | 2945 { |
5760 | 2946 if (iii < n && ii <= pp) |
5164 | 2947 { |
2948 if (scalar != RT ()) | |
2949 { | |
2950 stmp.data(kk) = scalar; | |
5760 | 2951 stmp.ridx(kk++) = ii; |
5164 | 2952 } |
5760 | 2953 if (ii == pp) |
6988 | 2954 pp = (++ppp < ppi ? c_lhs.ridx(c_lhs.cidx(j)+ppp) : new_nr); |
5164 | 2955 if (++iii < n) |
2956 ii = idx_i.elem(iii); | |
2957 } | |
5760 | 2958 else |
5164 | 2959 { |
5760 | 2960 stmp.data(kk) = |
6988 | 2961 c_lhs.data(c_lhs.cidx(j)+ppp); |
5760 | 2962 stmp.ridx(kk++) = pp; |
6988 | 2963 pp = (++ppp < ppi ? c_lhs.ridx(c_lhs.cidx(j)+ppp) : new_nr); |
5164 | 2964 } |
2965 } | |
2966 if (++jji < m) | |
2967 jj = idx_j.elem(jji); | |
2968 } | |
6988 | 2969 else if (j < lhs_nc) |
5164 | 2970 { |
6988 | 2971 for (octave_idx_type i = c_lhs.cidx(j); |
2972 i < c_lhs.cidx(j+1); i++) | |
5164 | 2973 { |
6988 | 2974 stmp.data(kk) = c_lhs.data(i); |
2975 stmp.ridx(kk++) = c_lhs.ridx(i); | |
5164 | 2976 } |
2977 } | |
2978 stmp.cidx(j+1) = kk; | |
2979 } | |
2980 | |
2981 lhs = stmp; | |
2982 } | |
7246 | 2983 else |
2984 { | |
7253 | 2985 #if 0 |
2986 // FIXME -- the following code will make this | |
2987 // function behave the same as the full matrix | |
2988 // case for things like | |
2989 // | |
2990 // x = sparse (ones (2)); | |
2991 // x([],3) = 2; | |
2992 // | |
2993 // x = | |
2994 // | |
2995 // Compressed Column Sparse (rows = 2, cols = 3, nnz = 4) | |
2996 // | |
2997 // (1, 1) -> 1 | |
2998 // (2, 1) -> 1 | |
2999 // (1, 2) -> 1 | |
3000 // (2, 2) -> 1 | |
3001 // | |
3002 // However, Matlab doesn't resize in this case | |
3003 // even though it does in the full matrix case. | |
3004 | |
7246 | 3005 if (n > 0) |
3006 { | |
3007 octave_idx_type max_row_idx = idx_i_is_colon ? | |
3008 rhs_nr : idx_i.max () + 1; | |
3009 octave_idx_type new_nr = max_row_idx > lhs_nr ? | |
3010 max_row_idx : lhs_nr; | |
3011 octave_idx_type new_nc = lhs_nc; | |
3012 | |
7253 | 3013 lhs.resize (new_nr, new_nc); |
7246 | 3014 } |
3015 else if (m > 0) | |
3016 { | |
3017 octave_idx_type max_col_idx = idx_j_is_colon ? | |
3018 rhs_nc : idx_j.max () + 1; | |
3019 octave_idx_type new_nr = lhs_nr; | |
3020 octave_idx_type new_nc = max_col_idx > lhs_nc ? | |
3021 max_col_idx : lhs_nc; | |
3022 | |
7253 | 3023 lhs.resize (new_nr, new_nc); |
7246 | 3024 } |
7253 | 3025 #endif |
7246 | 3026 } |
5164 | 3027 } |
3028 else if (n == rhs_nr && m == rhs_nc) | |
3029 { | |
3030 if (n > 0 && m > 0) | |
3031 { | |
5275 | 3032 octave_idx_type max_row_idx = idx_i_is_colon ? rhs_nr : |
5164 | 3033 idx_i.max () + 1; |
5275 | 3034 octave_idx_type max_col_idx = idx_j_is_colon ? rhs_nc : |
5164 | 3035 idx_j.max () + 1; |
5603 | 3036 octave_idx_type new_nr = max_row_idx > lhs_nr ? |
3037 max_row_idx : lhs_nr; | |
3038 octave_idx_type new_nc = max_col_idx > lhs_nc ? | |
3039 max_col_idx : lhs_nc; | |
3040 | |
3041 OCTAVE_LOCAL_BUFFER (octave_idx_type, rhs_idx_i, n); | |
3042 if (! idx_i.is_colon ()) | |
3043 { | |
3044 // Ok here we have to be careful with the indexing, | |
3045 // to treat cases like "a([3,2,1],:) = b", and still | |
3046 // handle the need for strict sorting of the sparse | |
3047 // elements. | |
3048 OCTAVE_LOCAL_BUFFER (octave_idx_vector_sort *, | |
3049 sidx, n); | |
3050 OCTAVE_LOCAL_BUFFER (octave_idx_vector_sort, | |
3051 sidxX, n); | |
3052 | |
3053 for (octave_idx_type i = 0; i < n; i++) | |
3054 { | |
3055 sidx[i] = &sidxX[i]; | |
3056 sidx[i]->i = idx_i.elem(i); | |
3057 sidx[i]->idx = i; | |
3058 } | |
3059 | |
3060 OCTAVE_QUIT; | |
3061 octave_sort<octave_idx_vector_sort *> | |
3062 sort (octave_idx_vector_comp); | |
3063 | |
3064 sort.sort (sidx, n); | |
3065 | |
3066 intNDArray<octave_idx_type> new_idx (dim_vector (n,1)); | |
3067 | |
3068 for (octave_idx_type i = 0; i < n; i++) | |
3069 { | |
3070 new_idx.xelem(i) = sidx[i]->i + 1; | |
3071 rhs_idx_i[i] = sidx[i]->idx; | |
3072 } | |
3073 | |
3074 idx_i = idx_vector (new_idx); | |
3075 } | |
3076 else | |
3077 for (octave_idx_type i = 0; i < n; i++) | |
3078 rhs_idx_i[i] = i; | |
3079 | |
3080 OCTAVE_LOCAL_BUFFER (octave_idx_type, rhs_idx_j, m); | |
3081 if (! idx_j.is_colon ()) | |
3082 { | |
3083 // Ok here we have to be careful with the indexing, | |
3084 // to treat cases like "a([3,2,1],:) = b", and still | |
3085 // handle the need for strict sorting of the sparse | |
3086 // elements. | |
3087 OCTAVE_LOCAL_BUFFER (octave_idx_vector_sort *, | |
3088 sidx, m); | |
3089 OCTAVE_LOCAL_BUFFER (octave_idx_vector_sort, | |
3090 sidxX, m); | |
3091 | |
3092 for (octave_idx_type i = 0; i < m; i++) | |
3093 { | |
3094 sidx[i] = &sidxX[i]; | |
3095 sidx[i]->i = idx_j.elem(i); | |
3096 sidx[i]->idx = i; | |
3097 } | |
3098 | |
3099 OCTAVE_QUIT; | |
3100 octave_sort<octave_idx_vector_sort *> | |
3101 sort (octave_idx_vector_comp); | |
3102 | |
3103 sort.sort (sidx, m); | |
3104 | |
3105 intNDArray<octave_idx_type> new_idx (dim_vector (m,1)); | |
3106 | |
3107 for (octave_idx_type i = 0; i < m; i++) | |
3108 { | |
3109 new_idx.xelem(i) = sidx[i]->i + 1; | |
3110 rhs_idx_j[i] = sidx[i]->idx; | |
3111 } | |
3112 | |
3113 idx_j = idx_vector (new_idx); | |
3114 } | |
3115 else | |
3116 for (octave_idx_type i = 0; i < m; i++) | |
3117 rhs_idx_j[i] = i; | |
5164 | 3118 |
5760 | 3119 // Maximum number of non-zero elements |
3120 octave_idx_type new_nzmx = lhs.nnz() + rhs.nnz(); | |
5164 | 3121 |
5604 | 3122 Sparse<LT> stmp (new_nr, new_nc, new_nzmx); |
5164 | 3123 |
5275 | 3124 octave_idx_type jji = 0; |
3125 octave_idx_type jj = idx_j.elem (jji); | |
3126 octave_idx_type kk = 0; | |
5164 | 3127 stmp.cidx(0) = 0; |
5275 | 3128 for (octave_idx_type j = 0; j < new_nc; j++) |
5164 | 3129 { |
3130 if (jji < m && jj == j) | |
3131 { | |
5275 | 3132 octave_idx_type iii = 0; |
3133 octave_idx_type ii = idx_i.elem (iii); | |
5760 | 3134 octave_idx_type ppp = 0; |
6092 | 3135 octave_idx_type ppi = (j >= lhs_nc ? 0 : |
6988 | 3136 c_lhs.cidx(j+1) - |
3137 c_lhs.cidx(j)); | |
5760 | 3138 octave_idx_type pp = (ppp < ppi ? |
6988 | 3139 c_lhs.ridx(c_lhs.cidx(j)+ppp) : |
3140 new_nr); | |
5760 | 3141 while (ppp < ppi || iii < n) |
5164 | 3142 { |
5760 | 3143 if (iii < n && ii <= pp) |
5164 | 3144 { |
7546
4249c6fb6e09
Treat repeated indices in the sparse assignments
David Bateman <dbateman@free.fr>
parents:
7463
diff
changeset
|
3145 if (iii < n - 1 && |
4249c6fb6e09
Treat repeated indices in the sparse assignments
David Bateman <dbateman@free.fr>
parents:
7463
diff
changeset
|
3146 idx_i.elem (iii + 1) == ii) |
4249c6fb6e09
Treat repeated indices in the sparse assignments
David Bateman <dbateman@free.fr>
parents:
7463
diff
changeset
|
3147 { |
4249c6fb6e09
Treat repeated indices in the sparse assignments
David Bateman <dbateman@free.fr>
parents:
7463
diff
changeset
|
3148 iii++; |
4249c6fb6e09
Treat repeated indices in the sparse assignments
David Bateman <dbateman@free.fr>
parents:
7463
diff
changeset
|
3149 ii = idx_i.elem(iii); |
4249c6fb6e09
Treat repeated indices in the sparse assignments
David Bateman <dbateman@free.fr>
parents:
7463
diff
changeset
|
3150 continue; |
4249c6fb6e09
Treat repeated indices in the sparse assignments
David Bateman <dbateman@free.fr>
parents:
7463
diff
changeset
|
3151 } |
4249c6fb6e09
Treat repeated indices in the sparse assignments
David Bateman <dbateman@free.fr>
parents:
7463
diff
changeset
|
3152 |
5603 | 3153 RT rtmp = rhs.elem (rhs_idx_i[iii], |
3154 rhs_idx_j[jji]); | |
5164 | 3155 if (rtmp != RT ()) |
3156 { | |
3157 stmp.data(kk) = rtmp; | |
5760 | 3158 stmp.ridx(kk++) = ii; |
5164 | 3159 } |
5760 | 3160 if (ii == pp) |
6988 | 3161 pp = (++ppp < ppi ? c_lhs.ridx(c_lhs.cidx(j)+ppp) : new_nr); |
5164 | 3162 if (++iii < n) |
3163 ii = idx_i.elem(iii); | |
3164 } | |
5760 | 3165 else |
5164 | 3166 { |
5760 | 3167 stmp.data(kk) = |
6988 | 3168 c_lhs.data(c_lhs.cidx(j)+ppp); |
5760 | 3169 stmp.ridx(kk++) = pp; |
6988 | 3170 pp = (++ppp < ppi ? c_lhs.ridx(c_lhs.cidx(j)+ppp) : new_nr); |
5164 | 3171 } |
3172 } | |
3173 if (++jji < m) | |
3174 jj = idx_j.elem(jji); | |
3175 } | |
6988 | 3176 else if (j < lhs_nc) |
5164 | 3177 { |
6988 | 3178 for (octave_idx_type i = c_lhs.cidx(j); |
3179 i < c_lhs.cidx(j+1); i++) | |
5164 | 3180 { |
6988 | 3181 stmp.data(kk) = c_lhs.data(i); |
3182 stmp.ridx(kk++) = c_lhs.ridx(i); | |
5164 | 3183 } |
3184 } | |
3185 stmp.cidx(j+1) = kk; | |
3186 } | |
3187 | |
5760 | 3188 stmp.maybe_compress(); |
5164 | 3189 lhs = stmp; |
3190 } | |
3191 } | |
3192 else if (n == 0 && m == 0) | |
3193 { | |
3194 if (! ((rhs_nr == 1 && rhs_nc == 1) | |
3195 || (rhs_nr == 0 || rhs_nc == 0))) | |
3196 { | |
3197 (*current_liboctave_error_handler) | |
3198 ("A([], []) = X: X must be an empty matrix or a scalar"); | |
3199 | |
3200 retval = 0; | |
3201 } | |
3202 } | |
3203 else | |
3204 { | |
3205 (*current_liboctave_error_handler) | |
3206 ("A(I, J) = X: X must be a scalar or the number of elements in I must"); | |
3207 (*current_liboctave_error_handler) | |
3208 ("match the number of rows in X and the number of elements in J must"); | |
3209 (*current_liboctave_error_handler) | |
3210 ("match the number of columns in X"); | |
3211 | |
3212 retval = 0; | |
3213 } | |
3214 } | |
3215 } | |
3216 // idx_vector::freeze() printed an error message for us. | |
3217 } | |
3218 else if (n_idx == 1) | |
3219 { | |
3220 int lhs_is_empty = lhs_nr == 0 || lhs_nc == 0; | |
3221 | |
3222 if (lhs_is_empty || (lhs_nr == 1 && lhs_nc == 1)) | |
3223 { | |
5275 | 3224 octave_idx_type lhs_len = lhs.length (); |
3225 | |
5781 | 3226 octave_idx_type n = idx_i.freeze (lhs_len, 0, true); |
5164 | 3227 |
3228 if (idx_i) | |
3229 { | |
3230 if (rhs_nr == 0 && rhs_nc == 0) | |
3231 { | |
3232 if (n != 0 && (lhs_nr != 0 || lhs_nc != 0)) | |
3233 lhs.maybe_delete_elements (idx_i); | |
3234 } | |
3235 else | |
3236 { | |
5781 | 3237 if (lhs_is_empty |
3238 && idx_i.is_colon () | |
3239 && ! (rhs_nr == 1 || rhs_nc == 1)) | |
5164 | 3240 { |
5781 | 3241 (*current_liboctave_warning_with_id_handler) |
3242 ("Octave:fortran-indexing", | |
3243 "A(:) = X: X is not a vector or scalar"); | |
3244 } | |
3245 else | |
3246 { | |
3247 octave_idx_type idx_nr = idx_i.orig_rows (); | |
3248 octave_idx_type idx_nc = idx_i.orig_columns (); | |
3249 | |
3250 if (! (rhs_nr == idx_nr && rhs_nc == idx_nc)) | |
3251 (*current_liboctave_warning_with_id_handler) | |
3252 ("Octave:fortran-indexing", | |
3253 "A(I) = X: X does not have same shape as I"); | |
5164 | 3254 } |
3255 | |
5760 | 3256 if (! assign1 (lhs, rhs)) |
5164 | 3257 retval = 0; |
3258 } | |
3259 } | |
3260 // idx_vector::freeze() printed an error message for us. | |
3261 } | |
3262 else if (lhs_nr == 1) | |
3263 { | |
5781 | 3264 idx_i.freeze (lhs_nc, "vector", true); |
5164 | 3265 |
3266 if (idx_i) | |
3267 { | |
3268 if (rhs_nr == 0 && rhs_nc == 0) | |
3269 lhs.maybe_delete_elements (idx_i); | |
5760 | 3270 else if (! assign1 (lhs, rhs)) |
5164 | 3271 retval = 0; |
3272 } | |
3273 // idx_vector::freeze() printed an error message for us. | |
3274 } | |
3275 else if (lhs_nc == 1) | |
3276 { | |
5781 | 3277 idx_i.freeze (lhs_nr, "vector", true); |
5164 | 3278 |
3279 if (idx_i) | |
3280 { | |
3281 if (rhs_nr == 0 && rhs_nc == 0) | |
3282 lhs.maybe_delete_elements (idx_i); | |
5760 | 3283 else if (! assign1 (lhs, rhs)) |
5164 | 3284 retval = 0; |
3285 } | |
3286 // idx_vector::freeze() printed an error message for us. | |
3287 } | |
3288 else | |
3289 { | |
7573
755bf7ecc29b
eliminate one_zero stuff from idx_vector
John W. Eaton <jwe@octave.org>
parents:
7546
diff
changeset
|
3290 if (! idx_i.is_colon ()) |
5781 | 3291 (*current_liboctave_warning_with_id_handler) |
3292 ("Octave:fortran-indexing", "single index used for matrix"); | |
5164 | 3293 |
5275 | 3294 octave_idx_type lhs_len = lhs.length (); |
3295 | |
3296 octave_idx_type len = idx_i.freeze (lhs_nr * lhs_nc, "matrix"); | |
5164 | 3297 |
3298 if (idx_i) | |
3299 { | |
3300 if (rhs_nr == 0 && rhs_nc == 0) | |
3301 lhs.maybe_delete_elements (idx_i); | |
3302 else if (len == 0) | |
3303 { | |
3304 if (! ((rhs_nr == 1 && rhs_nc == 1) | |
3305 || (rhs_nr == 0 || rhs_nc == 0))) | |
3306 (*current_liboctave_error_handler) | |
3307 ("A([]) = X: X must be an empty matrix or scalar"); | |
3308 } | |
3309 else if (len == rhs_nr * rhs_nc) | |
3310 { | |
5604 | 3311 octave_idx_type new_nzmx = lhs_nz; |
5603 | 3312 OCTAVE_LOCAL_BUFFER (octave_idx_type, rhs_idx, len); |
3313 | |
3314 if (! idx_i.is_colon ()) | |
3315 { | |
3316 // Ok here we have to be careful with the indexing, to | |
3317 // treat cases like "a([3,2,1]) = b", and still handle | |
3318 // the need for strict sorting of the sparse elements. | |
3319 | |
3320 OCTAVE_LOCAL_BUFFER (octave_idx_vector_sort *, sidx, | |
3321 len); | |
3322 OCTAVE_LOCAL_BUFFER (octave_idx_vector_sort, sidxX, | |
3323 len); | |
3324 | |
3325 for (octave_idx_type i = 0; i < len; i++) | |
3326 { | |
3327 sidx[i] = &sidxX[i]; | |
3328 sidx[i]->i = idx_i.elem(i); | |
3329 sidx[i]->idx = i; | |
3330 } | |
3331 | |
3332 OCTAVE_QUIT; | |
3333 octave_sort<octave_idx_vector_sort *> | |
3334 sort (octave_idx_vector_comp); | |
3335 | |
3336 sort.sort (sidx, len); | |
3337 | |
3338 intNDArray<octave_idx_type> new_idx (dim_vector (len,1)); | |
3339 | |
3340 for (octave_idx_type i = 0; i < len; i++) | |
3341 { | |
3342 new_idx.xelem(i) = sidx[i]->i + 1; | |
3343 rhs_idx[i] = sidx[i]->idx; | |
3344 } | |
3345 | |
3346 idx_i = idx_vector (new_idx); | |
3347 } | |
3348 else | |
3349 for (octave_idx_type i = 0; i < len; i++) | |
3350 rhs_idx[i] = i; | |
5164 | 3351 |
3352 // First count the number of non-zero elements | |
5275 | 3353 for (octave_idx_type i = 0; i < len; i++) |
5164 | 3354 { |
3355 OCTAVE_QUIT; | |
3356 | |
5275 | 3357 octave_idx_type ii = idx_i.elem (i); |
7546
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3358 if (i < len - 1 && idx_i.elem (i + 1) == ii) |
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3359 continue; |
5164 | 3360 if (ii < lhs_len && c_lhs.elem(ii) != LT ()) |
5604 | 3361 new_nzmx--; |
5603 | 3362 if (rhs.elem(rhs_idx[i]) != RT ()) |
5604 | 3363 new_nzmx++; |
5164 | 3364 } |
3365 | |
5604 | 3366 Sparse<LT> stmp (lhs_nr, lhs_nc, new_nzmx); |
5164 | 3367 |
5275 | 3368 octave_idx_type i = 0; |
3369 octave_idx_type ii = 0; | |
3370 octave_idx_type ic = 0; | |
5164 | 3371 if (i < lhs_nz) |
3372 { | |
3373 while (ic < lhs_nc && i >= c_lhs.cidx(ic+1)) | |
3374 ic++; | |
3375 ii = ic * lhs_nr + c_lhs.ridx(i); | |
3376 } | |
3377 | |
5275 | 3378 octave_idx_type j = 0; |
3379 octave_idx_type jj = idx_i.elem (j); | |
3380 octave_idx_type jr = jj % lhs_nr; | |
3381 octave_idx_type jc = (jj - jr) / lhs_nr; | |
3382 | |
3383 octave_idx_type kk = 0; | |
3384 octave_idx_type kc = 0; | |
5164 | 3385 |
3386 while (j < len || i < lhs_nz) | |
3387 { | |
7546
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Treat repeated indices in the sparse assignments
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|
3388 if (j < len - 1 && idx_i.elem (j + 1) == jj) |
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|
3389 { |
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|
3390 j++; |
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3391 jj = idx_i.elem (j); |
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3392 jr = jj % lhs_nr; |
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3393 jc = (jj - jr) / lhs_nr; |
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Treat repeated indices in the sparse assignments
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|
3394 continue; |
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|
3395 } |
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3396 |
5164 | 3397 if (j == len || (i < lhs_nz && ii < jj)) |
3398 { | |
3399 while (kc <= ic) | |
3400 stmp.xcidx (kc++) = kk; | |
3401 stmp.xdata (kk) = c_lhs.data (i); | |
3402 stmp.xridx (kk++) = c_lhs.ridx (i); | |
3403 i++; | |
3404 while (ic < lhs_nc && i >= c_lhs.cidx(ic+1)) | |
3405 ic++; | |
3406 if (i < lhs_nz) | |
3407 ii = ic * lhs_nr + c_lhs.ridx(i); | |
3408 } | |
3409 else | |
3410 { | |
3411 while (kc <= jc) | |
3412 stmp.xcidx (kc++) = kk; | |
5603 | 3413 RT rtmp = rhs.elem (rhs_idx[j]); |
5164 | 3414 if (rtmp != RT ()) |
3415 { | |
3416 stmp.xdata (kk) = rtmp; | |
3417 stmp.xridx (kk++) = jr; | |
3418 } | |
3419 if (ii == jj) | |
3420 { | |
3421 i++; | |
3422 while (ic < lhs_nc && i >= c_lhs.cidx(ic+1)) | |
3423 ic++; | |
3424 if (i < lhs_nz) | |
3425 ii = ic * lhs_nr + c_lhs.ridx(i); | |
3426 } | |
3427 j++; | |
3428 if (j < len) | |
3429 { | |
3430 jj = idx_i.elem (j); | |
3431 jr = jj % lhs_nr; | |
3432 jc = (jj - jr) / lhs_nr; | |
3433 } | |
3434 } | |
3435 } | |
3436 | |
5275 | 3437 for (octave_idx_type iidx = kc; iidx < lhs_nc+1; iidx++) |
5603 | 3438 stmp.xcidx(iidx) = kk; |
5164 | 3439 |
3440 lhs = stmp; | |
3441 } | |
3442 else if (rhs_nr == 1 && rhs_nc == 1) | |
3443 { | |
3444 RT scalar = rhs.elem (0, 0); | |
5604 | 3445 octave_idx_type new_nzmx = lhs_nz; |
5603 | 3446 idx_i.sort (true); |
7546
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3447 len = idx_i.length (len); |
5164 | 3448 |
3449 // First count the number of non-zero elements | |
3450 if (scalar != RT ()) | |
5604 | 3451 new_nzmx += len; |
5275 | 3452 for (octave_idx_type i = 0; i < len; i++) |
5164 | 3453 { |
3454 OCTAVE_QUIT; | |
5275 | 3455 octave_idx_type ii = idx_i.elem (i); |
5164 | 3456 if (ii < lhs_len && c_lhs.elem(ii) != LT ()) |
5604 | 3457 new_nzmx--; |
5164 | 3458 } |
3459 | |
5604 | 3460 Sparse<LT> stmp (lhs_nr, lhs_nc, new_nzmx); |
5164 | 3461 |
5275 | 3462 octave_idx_type i = 0; |
3463 octave_idx_type ii = 0; | |
3464 octave_idx_type ic = 0; | |
5164 | 3465 if (i < lhs_nz) |
3466 { | |
3467 while (ic < lhs_nc && i >= c_lhs.cidx(ic+1)) | |
3468 ic++; | |
3469 ii = ic * lhs_nr + c_lhs.ridx(i); | |
3470 } | |
3471 | |
5275 | 3472 octave_idx_type j = 0; |
3473 octave_idx_type jj = idx_i.elem (j); | |
3474 octave_idx_type jr = jj % lhs_nr; | |
3475 octave_idx_type jc = (jj - jr) / lhs_nr; | |
3476 | |
3477 octave_idx_type kk = 0; | |
3478 octave_idx_type kc = 0; | |
5164 | 3479 |
3480 while (j < len || i < lhs_nz) | |
3481 { | |
3482 if (j == len || (i < lhs_nz && ii < jj)) | |
3483 { | |
3484 while (kc <= ic) | |
3485 stmp.xcidx (kc++) = kk; | |
3486 stmp.xdata (kk) = c_lhs.data (i); | |
3487 stmp.xridx (kk++) = c_lhs.ridx (i); | |
3488 i++; | |
3489 while (ic < lhs_nc && i >= c_lhs.cidx(ic+1)) | |
3490 ic++; | |
3491 if (i < lhs_nz) | |
3492 ii = ic * lhs_nr + c_lhs.ridx(i); | |
3493 } | |
3494 else | |
3495 { | |
3496 while (kc <= jc) | |
3497 stmp.xcidx (kc++) = kk; | |
3498 if (scalar != RT ()) | |
3499 { | |
3500 stmp.xdata (kk) = scalar; | |
3501 stmp.xridx (kk++) = jr; | |
3502 } | |
3503 if (ii == jj) | |
3504 { | |
3505 i++; | |
3506 while (ic < lhs_nc && i >= c_lhs.cidx(ic+1)) | |
3507 ic++; | |
3508 if (i < lhs_nz) | |
3509 ii = ic * lhs_nr + c_lhs.ridx(i); | |
3510 } | |
3511 j++; | |
3512 if (j < len) | |
3513 { | |
3514 jj = idx_i.elem (j); | |
3515 jr = jj % lhs_nr; | |
3516 jc = (jj - jr) / lhs_nr; | |
3517 } | |
3518 } | |
3519 } | |
3520 | |
5275 | 3521 for (octave_idx_type iidx = kc; iidx < lhs_nc+1; iidx++) |
5164 | 3522 stmp.xcidx(iidx) = kk; |
3523 | |
3524 lhs = stmp; | |
3525 } | |
3526 else | |
3527 { | |
3528 (*current_liboctave_error_handler) | |
3529 ("A(I) = X: X must be a scalar or a matrix with the same size as I"); | |
3530 | |
3531 retval = 0; | |
3532 } | |
3533 } | |
3534 // idx_vector::freeze() printed an error message for us. | |
3535 } | |
3536 } | |
3537 else | |
3538 { | |
3539 (*current_liboctave_error_handler) | |
3540 ("invalid number of indices for matrix expression"); | |
3541 | |
3542 retval = 0; | |
3543 } | |
3544 | |
3545 lhs.clear_index (); | |
3546 | |
3547 return retval; | |
3548 } | |
3549 | |
7356 | 3550 /* |
3551 * Tests | |
3552 * | |
3553 | |
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3554 %!function x = set_slice(x, dim, slice, arg) |
7356 | 3555 %! switch dim |
3556 %! case 11 | |
3557 %! x(slice) = 2; | |
3558 %! case 21 | |
3559 %! x(slice, :) = 2; | |
3560 %! case 22 | |
3561 %! x(:, slice) = 2; | |
3562 %! otherwise | |
3563 %! error("invalid dim, '%d'", dim); | |
3564 %! endswitch | |
3565 %! endfunction | |
3566 | |
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3567 %!function x = set_slice2(x, dim, slice) |
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3568 %! switch dim |
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3569 %! case 11 |
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3570 %! x(slice) = 2 * ones (size(slice)); |
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3571 %! case 21 |
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3572 %! x(slice, :) = 2 * ones (length(slice), columns (x)); |
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3573 %! case 22 |
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3574 %! x(:, slice) = 2 * ones (rows (x), length(slice)); |
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3575 %! otherwise |
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3576 %! error("invalid dim, '%d'", dim); |
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|
3577 %! endswitch |
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|
3578 %! endfunction |
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|
3579 |
7356 | 3580 %!function test_sparse_slice(size, dim, slice) |
3581 %! x = ones(size); | |
3582 %! s = set_slice(sparse(x), dim, slice); | |
3583 %! f = set_slice(x, dim, slice); | |
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3584 %! assert (nnz(s), nnz(f)); |
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3585 %! assert(full(s), f); |
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3586 %! s = set_slice2(sparse(x), dim, slice); |
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3587 %! f = set_slice2(x, dim, slice); |
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3588 %! assert (nnz(s), nnz(f)); |
7356 | 3589 %! assert(full(s), f); |
3590 %! endfunction | |
3591 | |
3592 #### 1d indexing | |
3593 | |
3594 ## size = [2 0] | |
3595 %!test test_sparse_slice([2 0], 11, []); | |
3596 %!assert(set_slice(sparse(ones([2 0])), 11, 1), sparse([2 0]')); # sparse different from full | |
3597 %!assert(set_slice(sparse(ones([2 0])), 11, 2), sparse([0 2]')); # sparse different from full | |
3598 %!assert(set_slice(sparse(ones([2 0])), 11, 3), sparse([0 0 2]')); # sparse different from full | |
3599 %!assert(set_slice(sparse(ones([2 0])), 11, 4), sparse([0 0 0 2]')); # sparse different from full | |
3600 | |
3601 ## size = [0 2] | |
3602 %!test test_sparse_slice([0 2], 11, []); | |
3603 %!assert(set_slice(sparse(ones([0 2])), 11, 1), sparse(1,2)); # sparse different from full | |
3604 %!test test_sparse_slice([0 2], 11, 2); | |
3605 %!test test_sparse_slice([0 2], 11, 3); | |
3606 %!test test_sparse_slice([0 2], 11, 4); | |
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3607 %!test test_sparse_slice([0 2], 11, [4, 4]); |
7356 | 3608 |
3609 ## size = [2 1] | |
3610 %!test test_sparse_slice([2 1], 11, []); | |
3611 %!test test_sparse_slice([2 1], 11, 1); | |
3612 %!test test_sparse_slice([2 1], 11, 2); | |
3613 %!test test_sparse_slice([2 1], 11, 3); | |
3614 %!test test_sparse_slice([2 1], 11, 4); | |
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changeset
|
3615 %!test test_sparse_slice([2 1], 11, [4, 4]); |
7356 | 3616 |
3617 ## size = [1 2] | |
3618 %!test test_sparse_slice([1 2], 11, []); | |
3619 %!test test_sparse_slice([1 2], 11, 1); | |
3620 %!test test_sparse_slice([1 2], 11, 2); | |
3621 %!test test_sparse_slice([1 2], 11, 3); | |
3622 %!test test_sparse_slice([1 2], 11, 4); | |
7546
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3623 %!test test_sparse_slice([1 2], 11, [4, 4]); |
7356 | 3624 |
3625 ## size = [2 2] | |
3626 %!test test_sparse_slice([2 2], 11, []); | |
3627 %!test test_sparse_slice([2 2], 11, 1); | |
3628 %!test test_sparse_slice([2 2], 11, 2); | |
3629 %!test test_sparse_slice([2 2], 11, 3); | |
3630 %!test test_sparse_slice([2 2], 11, 4); | |
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3631 %!test test_sparse_slice([2 2], 11, [4, 4]); |
7356 | 3632 # These 2 errors are the same as in the full case |
3633 %!error <invalid matrix index = 5> set_slice(sparse(ones([2 2])), 11, 5); | |
3634 %!error <invalid matrix index = 6> set_slice(sparse(ones([2 2])), 11, 6); | |
3635 | |
3636 | |
3637 #### 2d indexing | |
3638 | |
3639 ## size = [2 0] | |
3640 %!test test_sparse_slice([2 0], 21, []); | |
3641 %!test test_sparse_slice([2 0], 21, 1); | |
3642 %!test test_sparse_slice([2 0], 21, 2); | |
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3643 %!test test_sparse_slice([2 0], 21, [2,2]); |
7356 | 3644 %!assert(set_slice(sparse(ones([2 0])), 21, 3), sparse(2,0)); # sparse different from full |
3645 %!assert(set_slice(sparse(ones([2 0])), 21, 4), sparse(2,0)); # sparse different from full | |
3646 %!test test_sparse_slice([2 0], 22, []); | |
3647 %!test test_sparse_slice([2 0], 22, 1); | |
3648 %!test test_sparse_slice([2 0], 22, 2); | |
7546
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|
3649 %!test test_sparse_slice([2 0], 22, [2,2]); |
7356 | 3650 %!assert(set_slice(sparse(ones([2 0])), 22, 3), sparse([0 0 2;0 0 2])); # sparse different from full |
3651 %!assert(set_slice(sparse(ones([2 0])), 22, 4), sparse([0 0 0 2;0 0 0 2])); # sparse different from full | |
3652 | |
3653 ## size = [0 2] | |
3654 %!test test_sparse_slice([0 2], 21, []); | |
3655 %!test test_sparse_slice([0 2], 21, 1); | |
3656 %!test test_sparse_slice([0 2], 21, 2); | |
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|
3657 %!test test_sparse_slice([0 2], 21, [2,2]); |
7356 | 3658 %!assert(set_slice(sparse(ones([0 2])), 21, 3), sparse([0 0;0 0;2 2])); # sparse different from full |
3659 %!assert(set_slice(sparse(ones([0 2])), 21, 4), sparse([0 0;0 0;0 0;2 2])); # sparse different from full | |
3660 %!test test_sparse_slice([0 2], 22, []); | |
3661 %!test test_sparse_slice([0 2], 22, 1); | |
3662 %!test test_sparse_slice([0 2], 22, 2); | |
7546
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|
3663 %!test test_sparse_slice([0 2], 22, [2,2]); |
7356 | 3664 %!assert(set_slice(sparse(ones([0 2])), 22, 3), sparse(0,2)); # sparse different from full |
3665 %!assert(set_slice(sparse(ones([0 2])), 22, 4), sparse(0,2)); # sparse different from full | |
3666 | |
3667 ## size = [2 1] | |
3668 %!test test_sparse_slice([2 1], 21, []); | |
3669 %!test test_sparse_slice([2 1], 21, 1); | |
3670 %!test test_sparse_slice([2 1], 21, 2); | |
7546
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3671 %!test test_sparse_slice([2 1], 21, [2,2]); |
7356 | 3672 %!test test_sparse_slice([2 1], 21, 3); |
3673 %!test test_sparse_slice([2 1], 21, 4); | |
3674 %!test test_sparse_slice([2 1], 22, []); | |
3675 %!test test_sparse_slice([2 1], 22, 1); | |
3676 %!test test_sparse_slice([2 1], 22, 2); | |
7546
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3677 %!test test_sparse_slice([2 1], 22, [2,2]); |
7356 | 3678 %!test test_sparse_slice([2 1], 22, 3); |
3679 %!test test_sparse_slice([2 1], 22, 4); | |
3680 | |
3681 ## size = [1 2] | |
3682 %!test test_sparse_slice([1 2], 21, []); | |
3683 %!test test_sparse_slice([1 2], 21, 1); | |
3684 %!test test_sparse_slice([1 2], 21, 2); | |
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David Bateman <dbateman@free.fr>
parents:
7463
diff
changeset
|
3685 %!test test_sparse_slice([1 2], 21, [2,2]); |
7356 | 3686 %!test test_sparse_slice([1 2], 21, 3); |
3687 %!test test_sparse_slice([1 2], 21, 4); | |
3688 %!test test_sparse_slice([1 2], 22, []); | |
3689 %!test test_sparse_slice([1 2], 22, 1); | |
3690 %!test test_sparse_slice([1 2], 22, 2); | |
7546
4249c6fb6e09
Treat repeated indices in the sparse assignments
David Bateman <dbateman@free.fr>
parents:
7463
diff
changeset
|
3691 %!test test_sparse_slice([1 2], 22, [2,2]); |
7356 | 3692 %!test test_sparse_slice([1 2], 22, 3); |
3693 %!test test_sparse_slice([1 2], 22, 4); | |
3694 | |
3695 ## size = [2 2] | |
3696 %!test test_sparse_slice([2 2], 21, []); | |
3697 %!test test_sparse_slice([2 2], 21, 1); | |
3698 %!test test_sparse_slice([2 2], 21, 2); | |
7546
4249c6fb6e09
Treat repeated indices in the sparse assignments
David Bateman <dbateman@free.fr>
parents:
7463
diff
changeset
|
3699 %!test test_sparse_slice([2 2], 21, [2,2]); |
7356 | 3700 %!test test_sparse_slice([2 2], 21, 3); |
3701 %!test test_sparse_slice([2 2], 21, 4); | |
3702 %!test test_sparse_slice([2 2], 22, []); | |
3703 %!test test_sparse_slice([2 2], 22, 1); | |
3704 %!test test_sparse_slice([2 2], 22, 2); | |
7546
4249c6fb6e09
Treat repeated indices in the sparse assignments
David Bateman <dbateman@free.fr>
parents:
7463
diff
changeset
|
3705 %!test test_sparse_slice([2 2], 22, [2,2]); |
7356 | 3706 %!test test_sparse_slice([2 2], 22, 3); |
3707 %!test test_sparse_slice([2 2], 22, 4); | |
3708 | |
3709 */ | |
3710 | |
5164 | 3711 template <class T> |
3712 void | |
3713 Sparse<T>::print_info (std::ostream& os, const std::string& prefix) const | |
3714 { | |
3715 os << prefix << "rep address: " << rep << "\n" | |
5604 | 3716 << prefix << "rep->nzmx: " << rep->nzmx << "\n" |
5164 | 3717 << prefix << "rep->nrows: " << rep->nrows << "\n" |
3718 << prefix << "rep->ncols: " << rep->ncols << "\n" | |
3719 << prefix << "rep->data: " << static_cast<void *> (rep->d) << "\n" | |
3720 << prefix << "rep->ridx: " << static_cast<void *> (rep->r) << "\n" | |
3721 << prefix << "rep->cidx: " << static_cast<void *> (rep->c) << "\n" | |
3722 << prefix << "rep->count: " << rep->count << "\n"; | |
3723 } | |
3724 | |
3725 /* | |
3726 ;;; Local Variables: *** | |
3727 ;;; mode: C++ *** | |
3728 ;;; End: *** | |
3729 */ |