|
2376
|
1 /* |
|
|
2 |
|
2847
|
3 Copyright (C) 1996, 1997 John W. Eaton |
|
2376
|
4 |
|
|
5 This file is part of Octave. |
|
|
6 |
|
|
7 Octave is free software; you can redistribute it and/or modify it |
|
|
8 under the terms of the GNU General Public License as published by the |
|
|
9 Free Software Foundation; either version 2, or (at your option) any |
|
|
10 later version. |
|
|
11 |
|
|
12 Octave is distributed in the hope that it will be useful, but WITHOUT |
|
|
13 ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or |
|
|
14 FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License |
|
|
15 for more details. |
|
|
16 |
|
|
17 You should have received a copy of the GNU General Public License |
|
|
18 along with Octave; see the file COPYING. If not, write to the Free |
|
5307
|
19 Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA |
|
|
20 02110-1301, USA. |
|
2376
|
21 |
|
|
22 */ |
|
|
23 |
|
|
24 #ifdef HAVE_CONFIG_H |
|
|
25 #include <config.h> |
|
|
26 #endif |
|
|
27 |
|
4100
|
28 #include <climits> |
|
|
29 |
|
3503
|
30 #include <iostream> |
|
4726
|
31 #include <vector> |
|
2901
|
32 |
|
4944
|
33 #include "data-conv.h" |
|
2376
|
34 #include "lo-ieee.h" |
|
|
35 #include "lo-utils.h" |
|
4944
|
36 #include "mach-info.h" |
|
2376
|
37 #include "mx-base.h" |
|
4153
|
38 #include "quit.h" |
|
2376
|
39 |
|
4901
|
40 #include "defun.h" |
|
2376
|
41 #include "gripes.h" |
|
|
42 #include "oct-obj.h" |
|
2979
|
43 #include "oct-lvalue.h" |
|
4944
|
44 #include "oct-stream.h" |
|
2410
|
45 #include "ops.h" |
|
3219
|
46 #include "ov-base.h" |
|
|
47 #include "ov-base-mat.h" |
|
|
48 #include "ov-base-mat.cc" |
|
2410
|
49 #include "ov-scalar.h" |
|
2376
|
50 #include "ov-re-mat.h" |
|
4901
|
51 #include "ov-type-conv.h" |
|
2376
|
52 #include "pr-output.h" |
|
2948
|
53 #include "variables.h" |
|
2376
|
54 |
|
4687
|
55 #include "byte-swap.h" |
|
|
56 #include "ls-oct-ascii.h" |
|
|
57 #include "ls-utils.h" |
|
4805
|
58 #include "ls-hdf5.h" |
|
4687
|
59 |
|
4100
|
60 #if ! defined (UCHAR_MAX) |
|
|
61 #define UCHAR_MAX 255 |
|
|
62 #endif |
|
|
63 |
|
4513
|
64 template class octave_base_matrix<NDArray>; |
|
2376
|
65 |
|
3219
|
66 DEFINE_OCTAVE_ALLOCATOR (octave_matrix); |
|
2477
|
67 |
|
4612
|
68 DEFINE_OV_TYPEID_FUNCTIONS_AND_DATA (octave_matrix, "matrix", "double"); |
|
2376
|
69 |
|
5759
|
70 octave_base_value * |
|
2410
|
71 octave_matrix::try_narrowing_conversion (void) |
|
|
72 { |
|
5759
|
73 octave_base_value *retval = 0; |
|
2410
|
74 |
|
4513
|
75 if (matrix.nelem () == 1) |
|
|
76 retval = new octave_scalar (matrix (0)); |
|
2410
|
77 |
|
|
78 return retval; |
|
|
79 } |
|
|
80 |
|
2376
|
81 bool |
|
|
82 octave_matrix::valid_as_scalar_index (void) const |
|
|
83 { |
|
5775
|
84 // FIXME |
|
2376
|
85 return false; |
|
|
86 } |
|
|
87 |
|
|
88 double |
|
|
89 octave_matrix::double_value (bool) const |
|
|
90 { |
|
4102
|
91 double retval = lo_ieee_nan_value (); |
|
2376
|
92 |
|
4645
|
93 if (numel () > 0) |
|
4455
|
94 { |
|
5781
|
95 gripe_implicit_conversion ("Octave:array-as-scalar", |
|
|
96 "real matrix", "real scalar"); |
|
4455
|
97 |
|
|
98 retval = matrix (0, 0); |
|
|
99 } |
|
2376
|
100 else |
|
|
101 gripe_invalid_conversion ("real matrix", "real scalar"); |
|
|
102 |
|
|
103 return retval; |
|
|
104 } |
|
|
105 |
|
5775
|
106 // FIXME |
|
4513
|
107 |
|
|
108 Matrix |
|
|
109 octave_matrix::matrix_value (bool) const |
|
|
110 { |
|
|
111 return matrix.matrix_value (); |
|
|
112 } |
|
|
113 |
|
2376
|
114 Complex |
|
|
115 octave_matrix::complex_value (bool) const |
|
|
116 { |
|
4102
|
117 double tmp = lo_ieee_nan_value (); |
|
|
118 |
|
|
119 Complex retval (tmp, tmp); |
|
2376
|
120 |
|
4455
|
121 if (rows () > 0 && columns () > 0) |
|
|
122 { |
|
5781
|
123 gripe_implicit_conversion ("Octave:array-as-scalar", |
|
|
124 "real matrix", "complex scalar"); |
|
4455
|
125 |
|
|
126 retval = matrix (0, 0); |
|
|
127 } |
|
2376
|
128 else |
|
|
129 gripe_invalid_conversion ("real matrix", "complex scalar"); |
|
|
130 |
|
|
131 return retval; |
|
|
132 } |
|
|
133 |
|
5775
|
134 // FIXME |
|
4513
|
135 |
|
|
136 ComplexMatrix |
|
|
137 octave_matrix::complex_matrix_value (bool) const |
|
|
138 { |
|
|
139 return ComplexMatrix (matrix.matrix_value ()); |
|
|
140 } |
|
|
141 |
|
4699
|
142 ComplexNDArray |
|
|
143 octave_matrix::complex_array_value (bool) const |
|
|
144 { |
|
|
145 return ComplexNDArray (matrix); |
|
|
146 } |
|
|
147 |
|
4758
|
148 charNDArray |
|
|
149 octave_matrix::char_array_value (bool) const |
|
|
150 { |
|
|
151 charNDArray retval (dims ()); |
|
|
152 |
|
5275
|
153 octave_idx_type nel = numel (); |
|
4758
|
154 |
|
5275
|
155 for (octave_idx_type i = 0; i < nel; i++) |
|
4758
|
156 retval.elem (i) = static_cast<char>(matrix.elem (i)); |
|
|
157 |
|
|
158 return retval; |
|
|
159 } |
|
|
160 |
|
5164
|
161 SparseMatrix |
|
|
162 octave_matrix::sparse_matrix_value (bool) const |
|
|
163 { |
|
|
164 return SparseMatrix (matrix.matrix_value ()); |
|
|
165 } |
|
|
166 |
|
|
167 SparseComplexMatrix |
|
|
168 octave_matrix::sparse_complex_matrix_value (bool) const |
|
|
169 { |
|
5775
|
170 // FIXME Need a SparseComplexMatrix (Matrix) constructor to make |
|
5164
|
171 // this function more efficient. Then this should become |
|
|
172 // return SparseComplexMatrix (matrix.matrix_value ()); |
|
|
173 return SparseComplexMatrix (sparse_matrix_value ()); |
|
|
174 } |
|
|
175 |
|
4645
|
176 streamoff_array |
|
|
177 octave_matrix::streamoff_array_value (void) const |
|
|
178 { |
|
|
179 streamoff_array retval (dims ()); |
|
|
180 |
|
5275
|
181 octave_idx_type nel = numel (); |
|
4645
|
182 |
|
5275
|
183 for (octave_idx_type i = 0; i < nel; i++) |
|
4645
|
184 { |
|
|
185 double d = matrix(i); |
|
|
186 |
|
|
187 if (D_NINT (d) == d) |
|
|
188 retval(i) = std::streamoff (static_cast<long> (d)); |
|
|
189 else |
|
|
190 { |
|
|
191 error ("conversion to streamoff_array value failed"); |
|
|
192 break; |
|
|
193 } |
|
|
194 } |
|
|
195 |
|
|
196 return retval; |
|
|
197 } |
|
|
198 |
|
2376
|
199 octave_value |
|
5279
|
200 octave_matrix::convert_to_str_internal (bool, bool, char type) const |
|
2376
|
201 { |
|
|
202 octave_value retval; |
|
4844
|
203 dim_vector dv = dims (); |
|
|
204 int nel = dv.numel (); |
|
2376
|
205 |
|
4844
|
206 if (nel == 0) |
|
2376
|
207 { |
|
|
208 char s = '\0'; |
|
5279
|
209 retval = octave_value (&s, type); |
|
2376
|
210 } |
|
|
211 else |
|
|
212 { |
|
4844
|
213 charNDArray chm (dv); |
|
4100
|
214 |
|
4844
|
215 bool warned = false; |
|
|
216 |
|
5275
|
217 for (octave_idx_type i = 0; i < nel; i++) |
|
4844
|
218 { |
|
|
219 OCTAVE_QUIT; |
|
|
220 |
|
|
221 double d = matrix (i); |
|
2376
|
222 |
|
4844
|
223 if (xisnan (d)) |
|
2376
|
224 { |
|
4844
|
225 ::error ("invalid conversion from NaN to character"); |
|
|
226 return retval; |
|
|
227 } |
|
|
228 else |
|
|
229 { |
|
|
230 int ival = NINT (d); |
|
|
231 |
|
|
232 if (ival < 0 || ival > UCHAR_MAX) |
|
2376
|
233 { |
|
5775
|
234 // FIXME -- is there something |
|
4844
|
235 // better we could do? |
|
4153
|
236 |
|
4844
|
237 ival = 0; |
|
2376
|
238 |
|
4844
|
239 if (! warned) |
|
2376
|
240 { |
|
4844
|
241 ::warning ("range error for conversion to character value"); |
|
|
242 warned = true; |
|
2376
|
243 } |
|
|
244 } |
|
|
245 |
|
4844
|
246 chm (i) = static_cast<char> (ival); |
|
|
247 } |
|
2376
|
248 } |
|
4844
|
249 |
|
5279
|
250 retval = octave_value (chm, true, type); |
|
2376
|
251 } |
|
|
252 |
|
|
253 return retval; |
|
|
254 } |
|
|
255 |
|
4687
|
256 static Matrix |
|
|
257 strip_infnan (const Matrix& m) |
|
|
258 { |
|
5275
|
259 octave_idx_type nr = m.rows (); |
|
|
260 octave_idx_type nc = m.columns (); |
|
4687
|
261 |
|
|
262 Matrix retval (nr, nc); |
|
|
263 |
|
5275
|
264 octave_idx_type k = 0; |
|
|
265 for (octave_idx_type i = 0; i < nr; i++) |
|
4687
|
266 { |
|
5275
|
267 for (octave_idx_type j = 0; j < nc; j++) |
|
4687
|
268 { |
|
|
269 double d = m (i, j); |
|
|
270 if (xisnan (d)) |
|
|
271 goto next_row; |
|
|
272 else |
|
|
273 retval (k, j) = xisinf (d) ? (d > 0 ? OCT_RBV : -OCT_RBV) : d; |
|
|
274 } |
|
|
275 k++; |
|
|
276 |
|
|
277 next_row: |
|
|
278 continue; |
|
|
279 } |
|
|
280 |
|
|
281 if (k > 0) |
|
|
282 retval.resize (k, nc); |
|
|
283 |
|
|
284 return retval; |
|
|
285 } |
|
|
286 |
|
|
287 bool |
|
|
288 octave_matrix::save_ascii (std::ostream& os, bool& infnan_warned, |
|
|
289 bool strip_nan_and_inf) |
|
|
290 { |
|
|
291 dim_vector d = dims (); |
|
|
292 if (d.length () > 2) |
|
|
293 { |
|
|
294 NDArray tmp = array_value (); |
|
|
295 |
|
|
296 if (strip_nan_and_inf) |
|
|
297 { |
|
|
298 warning ("save: Can not strip Inf or NaN values"); |
|
|
299 warning ("save: Inf or NaN values may not be reloadable"); |
|
|
300 infnan_warned = true; |
|
|
301 } |
|
|
302 else if (! infnan_warned && tmp.any_element_is_inf_or_nan ()) |
|
|
303 { |
|
|
304 warning ("save: Inf or NaN values may not be reloadable"); |
|
|
305 infnan_warned = true; |
|
|
306 } |
|
|
307 |
|
|
308 os << "# ndims: " << d.length () << "\n"; |
|
|
309 |
|
|
310 for (int i=0; i < d.length (); i++) |
|
|
311 os << " " << d (i); |
|
|
312 |
|
|
313 os << "\n" << tmp; |
|
|
314 } |
|
|
315 else |
|
|
316 { |
|
|
317 // Keep this case, rather than use generic code above for backward |
|
|
318 // compatiability. Makes load_ascii much more complex!! |
|
|
319 os << "# rows: " << rows () << "\n" |
|
|
320 << "# columns: " << columns () << "\n"; |
|
|
321 |
|
|
322 Matrix tmp = matrix_value (); |
|
|
323 |
|
|
324 if (strip_nan_and_inf) |
|
|
325 tmp = strip_infnan (tmp); |
|
|
326 else if (! infnan_warned && tmp.any_element_is_inf_or_nan ()) |
|
|
327 { |
|
|
328 warning ("save: Inf or NaN values may not be reloadable"); |
|
|
329 infnan_warned = true; |
|
|
330 } |
|
|
331 |
|
|
332 os << tmp; |
|
|
333 } |
|
|
334 |
|
|
335 return true; |
|
|
336 } |
|
|
337 |
|
|
338 bool |
|
|
339 octave_matrix::load_ascii (std::istream& is) |
|
|
340 { |
|
|
341 bool success = true; |
|
5099
|
342 |
|
|
343 string_vector keywords(2); |
|
|
344 |
|
|
345 keywords[0] = "ndims"; |
|
|
346 keywords[1] = "rows"; |
|
4687
|
347 |
|
5099
|
348 std::string kw; |
|
5275
|
349 octave_idx_type val = 0; |
|
5099
|
350 |
|
|
351 if (extract_keyword (is, keywords, kw, val, true)) |
|
4687
|
352 { |
|
5099
|
353 if (kw == "ndims") |
|
4687
|
354 { |
|
5275
|
355 int mdims = static_cast<int> (val); |
|
4687
|
356 |
|
5099
|
357 if (mdims >= 0) |
|
4687
|
358 { |
|
5099
|
359 dim_vector dv; |
|
|
360 dv.resize (mdims); |
|
4687
|
361 |
|
5099
|
362 for (int i = 0; i < mdims; i++) |
|
|
363 is >> dv(i); |
|
4687
|
364 |
|
5099
|
365 NDArray tmp(dv); |
|
4687
|
366 is >> tmp; |
|
5099
|
367 |
|
|
368 if (!is) |
|
4687
|
369 { |
|
|
370 error ("load: failed to load matrix constant"); |
|
|
371 success = false; |
|
|
372 } |
|
5099
|
373 matrix = tmp; |
|
4687
|
374 } |
|
|
375 else |
|
5099
|
376 { |
|
|
377 error ("load: failed to extract number of rows and columns"); |
|
|
378 success = false; |
|
|
379 } |
|
4687
|
380 } |
|
5099
|
381 else if (kw == "rows") |
|
4687
|
382 { |
|
5275
|
383 octave_idx_type nr = val; |
|
|
384 octave_idx_type nc = 0; |
|
5099
|
385 |
|
|
386 if (nr >= 0 && extract_keyword (is, "columns", nc) && nc >= 0) |
|
|
387 { |
|
|
388 if (nr > 0 && nc > 0) |
|
|
389 { |
|
|
390 Matrix tmp (nr, nc); |
|
|
391 is >> tmp; |
|
|
392 if (is) |
|
|
393 matrix = tmp; |
|
|
394 else |
|
|
395 { |
|
|
396 error ("load: failed to load matrix constant"); |
|
|
397 success = false; |
|
|
398 } |
|
|
399 } |
|
|
400 else if (nr == 0 || nc == 0) |
|
|
401 matrix = Matrix (nr, nc); |
|
|
402 else |
|
|
403 panic_impossible (); |
|
|
404 } |
|
|
405 else |
|
|
406 { |
|
|
407 error ("load: failed to extract number of rows and columns"); |
|
|
408 success = false; |
|
|
409 } |
|
4687
|
410 } |
|
5099
|
411 else |
|
|
412 panic_impossible (); |
|
|
413 } |
|
|
414 else |
|
|
415 { |
|
|
416 error ("load: failed to extract number of rows and columns"); |
|
|
417 success = false; |
|
4687
|
418 } |
|
|
419 |
|
|
420 return success; |
|
|
421 } |
|
|
422 |
|
|
423 bool |
|
|
424 octave_matrix::save_binary (std::ostream& os, bool& save_as_floats) |
|
|
425 { |
|
|
426 |
|
|
427 dim_vector d = dims (); |
|
|
428 if (d.length() < 1) |
|
|
429 return false; |
|
|
430 |
|
|
431 // Use negative value for ndims to differentiate with old format!! |
|
5828
|
432 int32_t tmp = - d.length(); |
|
5760
|
433 os.write (reinterpret_cast<char *> (&tmp), 4); |
|
5275
|
434 for (int i = 0; i < d.length (); i++) |
|
4687
|
435 { |
|
|
436 tmp = d(i); |
|
5760
|
437 os.write (reinterpret_cast<char *> (&tmp), 4); |
|
4687
|
438 } |
|
|
439 |
|
|
440 NDArray m = array_value (); |
|
|
441 save_type st = LS_DOUBLE; |
|
|
442 if (save_as_floats) |
|
|
443 { |
|
|
444 if (m.too_large_for_float ()) |
|
|
445 { |
|
|
446 warning ("save: some values too large to save as floats --"); |
|
|
447 warning ("save: saving as doubles instead"); |
|
|
448 } |
|
|
449 else |
|
|
450 st = LS_FLOAT; |
|
|
451 } |
|
5775
|
452 else if (d.numel () > 8192) // FIXME -- make this configurable. |
|
4687
|
453 { |
|
|
454 double max_val, min_val; |
|
|
455 if (m.all_integers (max_val, min_val)) |
|
|
456 st = get_save_type (max_val, min_val); |
|
|
457 } |
|
|
458 |
|
|
459 const double *mtmp = m.data (); |
|
|
460 write_doubles (os, mtmp, st, d.numel ()); |
|
|
461 |
|
|
462 return true; |
|
|
463 } |
|
|
464 |
|
|
465 bool |
|
|
466 octave_matrix::load_binary (std::istream& is, bool swap, |
|
|
467 oct_mach_info::float_format fmt) |
|
|
468 { |
|
|
469 char tmp; |
|
5828
|
470 int32_t mdims; |
|
5760
|
471 if (! is.read (reinterpret_cast<char *> (&mdims), 4)) |
|
4687
|
472 return false; |
|
|
473 if (swap) |
|
4944
|
474 swap_bytes<4> (&mdims); |
|
4687
|
475 if (mdims < 0) |
|
|
476 { |
|
|
477 mdims = - mdims; |
|
5828
|
478 int32_t di; |
|
4687
|
479 dim_vector dv; |
|
|
480 dv.resize (mdims); |
|
|
481 |
|
|
482 for (int i = 0; i < mdims; i++) |
|
|
483 { |
|
5760
|
484 if (! is.read (reinterpret_cast<char *> (&di), 4)) |
|
4687
|
485 return false; |
|
|
486 if (swap) |
|
4944
|
487 swap_bytes<4> (&di); |
|
4687
|
488 dv(i) = di; |
|
|
489 } |
|
|
490 |
|
5157
|
491 // Convert an array with a single dimension to be a row vector. |
|
|
492 // Octave should never write files like this, other software |
|
|
493 // might. |
|
|
494 |
|
|
495 if (mdims == 1) |
|
|
496 { |
|
|
497 mdims = 2; |
|
|
498 dv.resize (mdims); |
|
|
499 dv(1) = dv(0); |
|
|
500 dv(0) = 1; |
|
|
501 } |
|
|
502 |
|
5760
|
503 if (! is.read (reinterpret_cast<char *> (&tmp), 1)) |
|
4687
|
504 return false; |
|
|
505 |
|
|
506 NDArray m(dv); |
|
|
507 double *re = m.fortran_vec (); |
|
5760
|
508 read_doubles (is, re, static_cast<save_type> (tmp), dv.numel (), swap, fmt); |
|
4687
|
509 if (error_state || ! is) |
|
|
510 return false; |
|
|
511 matrix = m; |
|
|
512 } |
|
|
513 else |
|
|
514 { |
|
5828
|
515 int32_t nr, nc; |
|
4687
|
516 nr = mdims; |
|
5760
|
517 if (! is.read (reinterpret_cast<char *> (&nc), 4)) |
|
4687
|
518 return false; |
|
|
519 if (swap) |
|
4944
|
520 swap_bytes<4> (&nc); |
|
5760
|
521 if (! is.read (reinterpret_cast<char *> (&tmp), 1)) |
|
4687
|
522 return false; |
|
|
523 Matrix m (nr, nc); |
|
|
524 double *re = m.fortran_vec (); |
|
5275
|
525 octave_idx_type len = nr * nc; |
|
5760
|
526 read_doubles (is, re, static_cast<save_type> (tmp), len, swap, fmt); |
|
4687
|
527 if (error_state || ! is) |
|
|
528 return false; |
|
|
529 matrix = m; |
|
|
530 } |
|
|
531 return true; |
|
|
532 } |
|
|
533 |
|
|
534 #if defined (HAVE_HDF5) |
|
4944
|
535 |
|
4687
|
536 bool |
|
|
537 octave_matrix::save_hdf5 (hid_t loc_id, const char *name, bool save_as_floats) |
|
|
538 { |
|
4837
|
539 dim_vector dv = dims (); |
|
|
540 int empty = save_hdf5_empty (loc_id, name, dv); |
|
|
541 if (empty) |
|
4805
|
542 return (empty > 0); |
|
|
543 |
|
4837
|
544 int rank = dv.length (); |
|
4687
|
545 hid_t space_hid = -1, data_hid = -1; |
|
|
546 bool retval = true; |
|
|
547 NDArray m = array_value (); |
|
|
548 |
|
4805
|
549 OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank); |
|
|
550 |
|
4687
|
551 // Octave uses column-major, while HDF5 uses row-major ordering |
|
4805
|
552 for (int i = 0; i < rank; i++) |
|
4837
|
553 hdims[i] = dv (rank-i-1); |
|
4805
|
554 |
|
4815
|
555 space_hid = H5Screate_simple (rank, hdims, 0); |
|
4687
|
556 |
|
|
557 if (space_hid < 0) return false; |
|
|
558 |
|
|
559 hid_t save_type_hid = H5T_NATIVE_DOUBLE; |
|
|
560 |
|
|
561 if (save_as_floats) |
|
|
562 { |
|
|
563 if (m.too_large_for_float ()) |
|
|
564 { |
|
|
565 warning ("save: some values too large to save as floats --"); |
|
|
566 warning ("save: saving as doubles instead"); |
|
|
567 } |
|
|
568 else |
|
|
569 save_type_hid = H5T_NATIVE_FLOAT; |
|
|
570 } |
|
|
571 #if HAVE_HDF5_INT2FLOAT_CONVERSIONS |
|
|
572 // hdf5 currently doesn't support float/integer conversions |
|
|
573 else |
|
|
574 { |
|
|
575 double max_val, min_val; |
|
|
576 |
|
|
577 if (m.all_integers (max_val, min_val)) |
|
|
578 save_type_hid |
|
|
579 = save_type_to_hdf5 (get_save_type (max_val, min_val)); |
|
|
580 } |
|
|
581 #endif /* HAVE_HDF5_INT2FLOAT_CONVERSIONS */ |
|
|
582 |
|
|
583 data_hid = H5Dcreate (loc_id, name, save_type_hid, space_hid, |
|
|
584 H5P_DEFAULT); |
|
|
585 if (data_hid < 0) |
|
|
586 { |
|
|
587 H5Sclose (space_hid); |
|
|
588 return false; |
|
|
589 } |
|
|
590 |
|
|
591 double *mtmp = m.fortran_vec (); |
|
|
592 retval = H5Dwrite (data_hid, H5T_NATIVE_DOUBLE, H5S_ALL, H5S_ALL, |
|
4815
|
593 H5P_DEFAULT, mtmp) >= 0; |
|
4687
|
594 |
|
|
595 H5Dclose (data_hid); |
|
|
596 H5Sclose (space_hid); |
|
4837
|
597 |
|
4687
|
598 return retval; |
|
|
599 } |
|
|
600 |
|
|
601 bool |
|
|
602 octave_matrix::load_hdf5 (hid_t loc_id, const char *name, |
|
|
603 bool /* have_h5giterate_bug */) |
|
|
604 { |
|
4837
|
605 bool retval = false; |
|
|
606 |
|
4805
|
607 dim_vector dv; |
|
|
608 int empty = load_hdf5_empty (loc_id, name, dv); |
|
|
609 if (empty > 0) |
|
|
610 matrix.resize(dv); |
|
4837
|
611 if (empty) |
|
4805
|
612 return (empty > 0); |
|
|
613 |
|
4687
|
614 hid_t data_hid = H5Dopen (loc_id, name); |
|
|
615 hid_t space_id = H5Dget_space (data_hid); |
|
|
616 |
|
|
617 hsize_t rank = H5Sget_simple_extent_ndims (space_id); |
|
|
618 |
|
|
619 if (rank < 1) |
|
|
620 { |
|
|
621 H5Sclose (space_id); |
|
|
622 H5Dclose (data_hid); |
|
|
623 return false; |
|
|
624 } |
|
|
625 |
|
|
626 OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank); |
|
|
627 OCTAVE_LOCAL_BUFFER (hsize_t, maxdims, rank); |
|
|
628 |
|
|
629 H5Sget_simple_extent_dims (space_id, hdims, maxdims); |
|
|
630 |
|
|
631 // Octave uses column-major, while HDF5 uses row-major ordering |
|
|
632 if (rank == 1) |
|
|
633 { |
|
|
634 dv.resize (2); |
|
|
635 dv(0) = 1; |
|
|
636 dv(1) = hdims[0]; |
|
|
637 } |
|
|
638 else |
|
|
639 { |
|
|
640 dv.resize (rank); |
|
4815
|
641 for (hsize_t i = 0, j = rank - 1; i < rank; i++, j--) |
|
4687
|
642 dv(j) = hdims[i]; |
|
|
643 } |
|
|
644 |
|
|
645 NDArray m (dv); |
|
|
646 double *re = m.fortran_vec (); |
|
|
647 if (H5Dread (data_hid, H5T_NATIVE_DOUBLE, H5S_ALL, H5S_ALL, |
|
4815
|
648 H5P_DEFAULT, re) >= 0) |
|
4687
|
649 { |
|
|
650 retval = true; |
|
|
651 matrix = m; |
|
|
652 } |
|
|
653 |
|
|
654 H5Sclose (space_id); |
|
|
655 H5Dclose (data_hid); |
|
4837
|
656 |
|
4687
|
657 return retval; |
|
|
658 } |
|
4944
|
659 |
|
4687
|
660 #endif |
|
|
661 |
|
4643
|
662 void |
|
|
663 octave_matrix::print_raw (std::ostream& os, |
|
|
664 bool pr_as_read_syntax) const |
|
|
665 { |
|
|
666 octave_print_internal (os, matrix, pr_as_read_syntax, |
|
|
667 current_print_indent_level ()); |
|
|
668 } |
|
|
669 |
|
4901
|
670 DEFUN (double, args, , |
|
|
671 "-*- texinfo -*-\n\ |
|
|
672 @deftypefn {Built-in Function} {} double (@var{x})\n\ |
|
|
673 Convert @var{x} to double precision type.\n\ |
|
|
674 @end deftypefn") |
|
|
675 { |
|
|
676 OCTAVE_TYPE_CONV_BODY3 (double, octave_matrix, octave_scalar); |
|
|
677 } |
|
|
678 |
|
2376
|
679 /* |
|
|
680 ;;; Local Variables: *** |
|
|
681 ;;; mode: C++ *** |
|
|
682 ;;; End: *** |
|
|
683 */ |
