|
2871
|
1 /* |
|
|
2 |
|
|
3 Copyright (C) 1996, 1997 John W. Eaton |
|
|
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 |
|
|
19 Software Foundation, 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA. |
|
|
20 |
|
|
21 */ |
|
|
22 |
|
|
23 #ifdef HAVE_CONFIG_H |
|
|
24 #include <config.h> |
|
|
25 #endif |
|
|
26 |
|
3503
|
27 #include <iostream> |
|
4726
|
28 #include <vector> |
|
2901
|
29 |
|
2871
|
30 #include "lo-ieee.h" |
|
|
31 #include "mx-base.h" |
|
|
32 |
|
|
33 #include "gripes.h" |
|
|
34 #include "oct-obj.h" |
|
|
35 #include "ops.h" |
|
3219
|
36 #include "ov-base.h" |
|
|
37 #include "ov-base-mat.h" |
|
|
38 #include "ov-base-mat.cc" |
|
2871
|
39 #include "ov-bool.h" |
|
|
40 #include "ov-bool-mat.h" |
|
|
41 #include "ov-re-mat.h" |
|
|
42 #include "pr-output.h" |
|
|
43 |
|
4687
|
44 #include "byte-swap.h" |
|
|
45 #include "ls-oct-ascii.h" |
|
|
46 #include "ls-hdf5.h" |
|
|
47 #include "ls-utils.h" |
|
|
48 |
|
4513
|
49 template class octave_base_matrix<boolNDArray>; |
|
2871
|
50 |
|
3219
|
51 DEFINE_OCTAVE_ALLOCATOR (octave_bool_matrix); |
|
2871
|
52 |
|
4612
|
53 DEFINE_OV_TYPEID_FUNCTIONS_AND_DATA (octave_bool_matrix, |
|
|
54 "bool matrix", "logical"); |
|
2871
|
55 |
|
|
56 static octave_value * |
|
|
57 default_numeric_conversion_function (const octave_value& a) |
|
|
58 { |
|
|
59 CAST_CONV_ARG (const octave_bool_matrix&); |
|
|
60 |
|
4668
|
61 return new octave_matrix (NDArray (v.bool_array_value ())); |
|
2871
|
62 } |
|
|
63 |
|
|
64 type_conv_fcn |
|
|
65 octave_bool_matrix::numeric_conversion_function (void) const |
|
|
66 { |
|
|
67 return default_numeric_conversion_function; |
|
|
68 } |
|
|
69 |
|
|
70 octave_value * |
|
|
71 octave_bool_matrix::try_narrowing_conversion (void) |
|
|
72 { |
|
|
73 octave_value *retval = 0; |
|
|
74 |
|
4513
|
75 if (matrix.ndims () == 2) |
|
|
76 { |
|
|
77 boolMatrix bm = matrix.matrix_value (); |
|
2871
|
78 |
|
4513
|
79 int nr = bm.rows (); |
|
|
80 int nc = bm.cols (); |
|
|
81 |
|
|
82 if (nr == 1 && nc == 1) |
|
|
83 retval = new octave_bool (bm (0, 0)); |
|
|
84 } |
|
2871
|
85 |
|
|
86 return retval; |
|
|
87 } |
|
|
88 |
|
|
89 bool |
|
|
90 octave_bool_matrix::valid_as_scalar_index (void) const |
|
|
91 { |
|
|
92 // XXX FIXME XXX |
|
|
93 return false; |
|
|
94 } |
|
|
95 |
|
|
96 double |
|
|
97 octave_bool_matrix::double_value (bool) const |
|
|
98 { |
|
4102
|
99 double retval = lo_ieee_nan_value (); |
|
2871
|
100 |
|
4455
|
101 // XXX FIXME XXX -- maybe this should be a function, valid_as_scalar() |
|
|
102 if (rows () > 0 && columns () > 0) |
|
|
103 { |
|
|
104 // XXX FIXME XXX -- is warn_fortran_indexing the right variable here? |
|
|
105 if (Vwarn_fortran_indexing) |
|
|
106 gripe_implicit_conversion ("bool matrix", "real scalar"); |
|
|
107 |
|
|
108 retval = matrix (0, 0); |
|
|
109 } |
|
2871
|
110 else |
|
|
111 gripe_invalid_conversion ("bool matrix", "real scalar"); |
|
|
112 |
|
|
113 return retval; |
|
|
114 } |
|
|
115 |
|
|
116 Complex |
|
|
117 octave_bool_matrix::complex_value (bool) const |
|
|
118 { |
|
4102
|
119 double tmp = lo_ieee_nan_value (); |
|
|
120 |
|
|
121 Complex retval (tmp, tmp); |
|
2871
|
122 |
|
4455
|
123 // XXX FIXME XXX -- maybe this should be a function, valid_as_scalar() |
|
|
124 if (rows () > 0 && columns () > 0) |
|
|
125 { |
|
|
126 // XXX FIXME XXX -- is warn_fortran_indexing the right variable here? |
|
|
127 if (Vwarn_fortran_indexing) |
|
|
128 gripe_implicit_conversion ("bool matrix", "complex scalar"); |
|
|
129 |
|
|
130 retval = matrix (0, 0); |
|
|
131 } |
|
2871
|
132 else |
|
|
133 gripe_invalid_conversion ("bool matrix", "complex scalar"); |
|
|
134 |
|
|
135 return retval; |
|
|
136 } |
|
|
137 |
|
4457
|
138 octave_value |
|
|
139 octave_bool_matrix::convert_to_str_internal (bool pad, bool force) const |
|
|
140 { |
|
4844
|
141 octave_value tmp = octave_value (array_value ()); |
|
4457
|
142 return tmp.convert_to_str (pad, force); |
|
|
143 } |
|
|
144 |
|
4643
|
145 void |
|
|
146 octave_bool_matrix::print_raw (std::ostream& os, |
|
|
147 bool pr_as_read_syntax) const |
|
|
148 { |
|
|
149 octave_print_internal (os, matrix, pr_as_read_syntax, |
|
|
150 current_print_indent_level ()); |
|
|
151 } |
|
|
152 |
|
4687
|
153 bool |
|
|
154 octave_bool_matrix::save_ascii (std::ostream& os, bool& /* infnan_warned */, |
|
|
155 bool /* strip_nan_and_inf */) |
|
|
156 { |
|
|
157 dim_vector d = dims (); |
|
|
158 if (d.length () > 2) |
|
|
159 { |
|
|
160 NDArray tmp = array_value (); |
|
|
161 os << "# ndims: " << d.length () << "\n"; |
|
|
162 |
|
|
163 for (int i=0; i < d.length (); i++) |
|
|
164 os << " " << d (i); |
|
|
165 |
|
|
166 os << "\n" << tmp; |
|
|
167 } |
|
|
168 else |
|
|
169 { |
|
|
170 // Keep this case, rather than use generic code above for backward |
|
|
171 // compatiability. Makes load_ascii much more complex!! |
|
|
172 os << "# rows: " << rows () << "\n" |
|
|
173 << "# columns: " << columns () << "\n"; |
|
|
174 |
|
|
175 Matrix tmp = matrix_value (); |
|
|
176 |
|
|
177 os << tmp; |
|
|
178 } |
|
|
179 |
|
|
180 return true; |
|
|
181 } |
|
|
182 |
|
|
183 bool |
|
|
184 octave_bool_matrix::load_ascii (std::istream& is) |
|
|
185 { |
|
|
186 bool success = true; |
|
|
187 |
|
5099
|
188 string_vector keywords (2); |
|
4687
|
189 |
|
5099
|
190 keywords[0] = "ndims"; |
|
|
191 keywords[1] = "rows"; |
|
4687
|
192 |
|
5099
|
193 std::string kw; |
|
|
194 int val = 0; |
|
4687
|
195 |
|
5099
|
196 if (extract_keyword (is, keywords, kw, val, true)) |
|
4687
|
197 { |
|
5099
|
198 if (kw == "ndims") |
|
|
199 { |
|
|
200 int mdims = val; |
|
4687
|
201 |
|
5099
|
202 if (mdims >= 0) |
|
4687
|
203 { |
|
5099
|
204 dim_vector dv; |
|
|
205 dv.resize (mdims); |
|
|
206 |
|
|
207 for (int i = 0; i < mdims; i++) |
|
|
208 is >> dv(i); |
|
|
209 |
|
|
210 NDArray tmp(dv); |
|
4687
|
211 is >> tmp; |
|
5099
|
212 |
|
|
213 if (!is) |
|
4687
|
214 { |
|
|
215 error ("load: failed to load matrix constant"); |
|
|
216 success = false; |
|
|
217 } |
|
|
218 |
|
5099
|
219 boolNDArray btmp (dv); |
|
|
220 for (int i = 0; i < btmp.nelem (); i++) |
|
|
221 btmp.elem (i) = (tmp.elem (i) != 0.); |
|
|
222 |
|
4687
|
223 matrix = btmp; |
|
|
224 } |
|
|
225 else |
|
5099
|
226 { |
|
|
227 error ("load: failed to extract number of rows and columns"); |
|
|
228 success = false; |
|
|
229 } |
|
4687
|
230 } |
|
5099
|
231 else if (kw == "rows") |
|
4687
|
232 { |
|
5099
|
233 int nr = val; |
|
|
234 int nc = 0; |
|
|
235 |
|
|
236 if (nr >= 0 && extract_keyword (is, "columns", nc) && nc >= 0) |
|
|
237 { |
|
|
238 if (nr > 0 && nc > 0) |
|
|
239 { |
|
|
240 Matrix tmp (nr, nc); |
|
|
241 is >> tmp; |
|
|
242 if (!is) |
|
|
243 { |
|
|
244 error ("load: failed to load matrix constant"); |
|
|
245 success = false; |
|
|
246 } |
|
|
247 |
|
|
248 boolMatrix btmp (nr,nc); |
|
|
249 for (int j = 0; j < nc; j++) |
|
|
250 for (int i = 0; i < nr; i++) |
|
|
251 btmp.elem (i,j) = (tmp.elem (i, j) != 0.); |
|
|
252 |
|
|
253 matrix = btmp; |
|
|
254 } |
|
|
255 else if (nr == 0 || nc == 0) |
|
|
256 matrix = boolMatrix (nr, nc); |
|
|
257 else |
|
|
258 panic_impossible (); |
|
|
259 } |
|
|
260 else |
|
|
261 { |
|
|
262 error ("load: failed to extract number of rows and columns"); |
|
|
263 success = false; |
|
|
264 } |
|
4687
|
265 } |
|
5099
|
266 else |
|
|
267 panic_impossible (); |
|
|
268 } |
|
|
269 else |
|
|
270 { |
|
|
271 error ("load: failed to extract number of rows and columns"); |
|
|
272 success = false; |
|
4687
|
273 } |
|
|
274 |
|
|
275 return success; |
|
|
276 } |
|
|
277 |
|
|
278 bool |
|
|
279 octave_bool_matrix::save_binary (std::ostream& os, bool& /* save_as_floats */) |
|
|
280 { |
|
|
281 |
|
|
282 dim_vector d = dims (); |
|
|
283 if (d.length() < 1) |
|
|
284 return false; |
|
|
285 |
|
|
286 // Use negative value for ndims to differentiate with old format!! |
|
|
287 FOUR_BYTE_INT tmp = - d.length(); |
|
|
288 os.write (X_CAST (char *, &tmp), 4); |
|
|
289 for (int i=0; i < d.length (); i++) |
|
|
290 { |
|
|
291 tmp = d(i); |
|
|
292 os.write (X_CAST (char *, &tmp), 4); |
|
|
293 } |
|
|
294 |
|
|
295 boolNDArray m = bool_array_value (); |
|
|
296 bool *mtmp = m.fortran_vec (); |
|
|
297 int nel = m.nelem (); |
|
|
298 OCTAVE_LOCAL_BUFFER (char, htmp, nel); |
|
|
299 |
|
|
300 for (int i = 0; i < nel; i++) |
|
|
301 htmp[i] = (mtmp[i] ? 1 : 0); |
|
|
302 |
|
|
303 os.write (htmp, nel); |
|
|
304 |
|
|
305 return true; |
|
|
306 } |
|
|
307 |
|
|
308 bool |
|
|
309 octave_bool_matrix::load_binary (std::istream& is, bool swap, |
|
|
310 oct_mach_info::float_format /* fmt */) |
|
|
311 { |
|
|
312 FOUR_BYTE_INT mdims; |
|
|
313 if (! is.read (X_CAST (char *, &mdims), 4)) |
|
|
314 return false; |
|
|
315 if (swap) |
|
4944
|
316 swap_bytes<4> (&mdims); |
|
4687
|
317 if (mdims >= 0) |
|
|
318 return false; |
|
|
319 |
|
|
320 // mdims is negative for consistency with other matrices, where it is |
|
|
321 // negative to allow the positive value to be used for rows/cols for |
|
|
322 // backward compatibility |
|
|
323 mdims = - mdims; |
|
|
324 FOUR_BYTE_INT di; |
|
|
325 dim_vector dv; |
|
|
326 dv.resize (mdims); |
|
|
327 |
|
|
328 for (int i = 0; i < mdims; i++) |
|
|
329 { |
|
|
330 if (! is.read (X_CAST (char *, &di), 4)) |
|
|
331 return false; |
|
|
332 if (swap) |
|
4944
|
333 swap_bytes<4> (&di); |
|
4687
|
334 dv(i) = di; |
|
|
335 } |
|
|
336 |
|
5157
|
337 // Convert an array with a single dimension to be a row vector. |
|
|
338 // Octave should never write files like this, other software |
|
|
339 // might. |
|
|
340 |
|
|
341 if (mdims == 1) |
|
|
342 { |
|
|
343 mdims = 2; |
|
|
344 dv.resize (mdims); |
|
|
345 dv(1) = dv(0); |
|
|
346 dv(0) = 1; |
|
|
347 } |
|
|
348 |
|
4687
|
349 int nel = dv.numel (); |
|
|
350 OCTAVE_LOCAL_BUFFER (char, htmp, nel); |
|
|
351 if (! is.read (htmp, nel)) |
|
|
352 return false; |
|
|
353 boolNDArray m(dv); |
|
|
354 bool *mtmp = m.fortran_vec (); |
|
|
355 for (int i = 0; i < nel; i++) |
|
|
356 mtmp[i] = (htmp[i] ? 1 : 0); |
|
|
357 matrix = m; |
|
|
358 |
|
|
359 return true; |
|
|
360 } |
|
|
361 |
|
|
362 #if defined (HAVE_HDF5) |
|
4944
|
363 |
|
4687
|
364 bool |
|
|
365 octave_bool_matrix::save_hdf5 (hid_t loc_id, const char *name, |
|
|
366 bool /* save_as_floats */) |
|
|
367 { |
|
4837
|
368 dim_vector dv = dims (); |
|
|
369 int empty = save_hdf5_empty (loc_id, name, dv); |
|
|
370 if (empty) |
|
4805
|
371 return (empty > 0); |
|
|
372 |
|
4837
|
373 int rank = dv.length (); |
|
4687
|
374 hid_t space_hid = -1, data_hid = -1; |
|
|
375 bool retval = true; |
|
|
376 boolNDArray m = bool_array_value (); |
|
|
377 |
|
4805
|
378 OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank); |
|
|
379 |
|
4687
|
380 // Octave uses column-major, while HDF5 uses row-major ordering |
|
4805
|
381 for (int i = 0; i < rank; i++) |
|
4837
|
382 hdims[i] = dv (rank-i-1); |
|
4687
|
383 |
|
4815
|
384 space_hid = H5Screate_simple (rank, hdims, 0); |
|
4687
|
385 if (space_hid < 0) return false; |
|
|
386 |
|
|
387 data_hid = H5Dcreate (loc_id, name, H5T_NATIVE_HBOOL, space_hid, |
|
|
388 H5P_DEFAULT); |
|
|
389 if (data_hid < 0) |
|
|
390 { |
|
|
391 H5Sclose (space_hid); |
|
|
392 return false; |
|
|
393 } |
|
|
394 |
|
|
395 int nel = m.nelem (); |
|
|
396 bool *mtmp = m.fortran_vec (); |
|
|
397 hbool_t htmp[nel]; |
|
|
398 |
|
|
399 for (int i = 0; i < nel; i++) |
|
|
400 htmp[i] = mtmp[i]; |
|
|
401 |
|
|
402 retval = H5Dwrite (data_hid, H5T_NATIVE_HBOOL, H5S_ALL, H5S_ALL, |
|
4815
|
403 H5P_DEFAULT, htmp) >= 0; |
|
4687
|
404 |
|
|
405 H5Dclose (data_hid); |
|
|
406 H5Sclose (space_hid); |
|
4837
|
407 |
|
4687
|
408 return retval; |
|
|
409 } |
|
|
410 |
|
|
411 bool |
|
|
412 octave_bool_matrix::load_hdf5 (hid_t loc_id, const char *name, |
|
|
413 bool /* have_h5giterate_bug */) |
|
|
414 { |
|
4837
|
415 bool retval = false; |
|
|
416 |
|
4805
|
417 dim_vector dv; |
|
|
418 int empty = load_hdf5_empty (loc_id, name, dv); |
|
|
419 if (empty > 0) |
|
|
420 matrix.resize(dv); |
|
4837
|
421 if (empty) |
|
|
422 return (empty > 0); |
|
4805
|
423 |
|
4687
|
424 hid_t data_hid = H5Dopen (loc_id, name); |
|
|
425 hid_t space_id = H5Dget_space (data_hid); |
|
|
426 |
|
|
427 hsize_t rank = H5Sget_simple_extent_ndims (space_id); |
|
|
428 |
|
|
429 if (rank < 1) |
|
|
430 { |
|
|
431 H5Dclose (data_hid); |
|
|
432 return false; |
|
|
433 } |
|
|
434 |
|
|
435 OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank); |
|
|
436 OCTAVE_LOCAL_BUFFER (hsize_t, maxdims, rank); |
|
|
437 |
|
|
438 H5Sget_simple_extent_dims (space_id, hdims, maxdims); |
|
|
439 |
|
|
440 // Octave uses column-major, while HDF5 uses row-major ordering |
|
|
441 if (rank == 1) |
|
|
442 { |
|
|
443 dv.resize (2); |
|
|
444 dv(0) = 1; |
|
|
445 dv(1) = hdims[0]; |
|
|
446 } |
|
|
447 else |
|
|
448 { |
|
|
449 dv.resize (rank); |
|
4815
|
450 for (hsize_t i = 0, j = rank - 1; i < rank; i++, j--) |
|
4687
|
451 dv(j) = hdims[i]; |
|
|
452 } |
|
|
453 |
|
|
454 int nel = dv.numel (); |
|
|
455 hbool_t htmp[nel]; |
|
|
456 if (H5Dread (data_hid, H5T_NATIVE_HBOOL, H5S_ALL, H5S_ALL, |
|
4815
|
457 H5P_DEFAULT, htmp) >= 0) |
|
4687
|
458 { |
|
|
459 retval = true; |
|
|
460 |
|
|
461 boolNDArray btmp (dv); |
|
|
462 for (int i = 0; i < nel; i++) |
|
|
463 btmp.elem (i) = htmp[i]; |
|
|
464 |
|
|
465 matrix = btmp; |
|
|
466 } |
|
|
467 |
|
|
468 H5Dclose (data_hid); |
|
4837
|
469 |
|
4687
|
470 return retval; |
|
|
471 } |
|
4944
|
472 |
|
4687
|
473 #endif |
|
|
474 |
|
2871
|
475 /* |
|
|
476 ;;; Local Variables: *** |
|
|
477 ;;; mode: C++ *** |
|
|
478 ;;; End: *** |
|
|
479 */ |
