Mercurial > octave-nkf
annotate src/ov-bool-mat.cc @ 8345:c777f3ce02d8
smarter conversion lookup
| author | Jaroslav Hajek <highegg@gmail.com> |
|---|---|
| date | Tue, 25 Nov 2008 14:04:55 +0100 |
| parents | 82be108cc558 |
| children | 25bc2d31e1bf |
| rev | line source |
|---|---|
| 2871 | 1 /* |
| 2 | |
| 7017 | 3 Copyright (C) 1996, 1997, 1998, 2000, 2001, 2002, 2003, 2004, 2005, |
| 4 2006, 2007 John W. Eaton | |
| 2871 | 5 |
| 6 This file is part of Octave. | |
| 7 | |
| 8 Octave is free software; you can redistribute it and/or modify it | |
| 9 under the terms of the GNU General Public License as published by the | |
| 7016 | 10 Free Software Foundation; either version 3 of the License, or (at your |
| 11 option) any later version. | |
| 2871 | 12 |
| 13 Octave is distributed in the hope that it will be useful, but WITHOUT | |
| 14 ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or | |
| 15 FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License | |
| 16 for more details. | |
| 17 | |
| 18 You should have received a copy of the GNU General Public License | |
| 7016 | 19 along with Octave; see the file COPYING. If not, see |
| 20 <http://www.gnu.org/licenses/>. | |
| 2871 | 21 |
| 22 */ | |
| 23 | |
| 24 #ifdef HAVE_CONFIG_H | |
| 25 #include <config.h> | |
| 26 #endif | |
| 27 | |
| 3503 | 28 #include <iostream> |
| 4726 | 29 #include <vector> |
| 2901 | 30 |
| 2871 | 31 #include "lo-ieee.h" |
| 32 #include "mx-base.h" | |
| 33 | |
| 34 #include "gripes.h" | |
| 35 #include "oct-obj.h" | |
| 36 #include "ops.h" | |
| 3219 | 37 #include "ov-base.h" |
| 38 #include "ov-base-mat.h" | |
| 39 #include "ov-base-mat.cc" | |
| 2871 | 40 #include "ov-bool.h" |
| 41 #include "ov-bool-mat.h" | |
| 42 #include "ov-re-mat.h" | |
| 43 #include "pr-output.h" | |
| 44 | |
| 4687 | 45 #include "byte-swap.h" |
| 46 #include "ls-oct-ascii.h" | |
| 47 #include "ls-hdf5.h" | |
| 48 #include "ls-utils.h" | |
| 49 | |
| 4513 | 50 template class octave_base_matrix<boolNDArray>; |
| 2871 | 51 |
| 3219 | 52 DEFINE_OCTAVE_ALLOCATOR (octave_bool_matrix); |
| 2871 | 53 |
| 4612 | 54 DEFINE_OV_TYPEID_FUNCTIONS_AND_DATA (octave_bool_matrix, |
| 55 "bool matrix", "logical"); | |
| 2871 | 56 |
| 5759 | 57 static octave_base_value * |
| 58 default_numeric_conversion_function (const octave_base_value& a) | |
| 2871 | 59 { |
| 60 CAST_CONV_ARG (const octave_bool_matrix&); | |
| 61 | |
| 4668 | 62 return new octave_matrix (NDArray (v.bool_array_value ())); |
| 2871 | 63 } |
| 64 | |
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65 octave_base_value::type_conv_info |
| 2871 | 66 octave_bool_matrix::numeric_conversion_function (void) const |
| 67 { | |
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68 return octave_base_value::type_conv_info (default_numeric_conversion_function, |
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69 octave_matrix::static_type_id ()); |
| 2871 | 70 } |
| 71 | |
| 5759 | 72 octave_base_value * |
| 2871 | 73 octave_bool_matrix::try_narrowing_conversion (void) |
| 74 { | |
| 5759 | 75 octave_base_value *retval = 0; |
| 2871 | 76 |
| 4513 | 77 if (matrix.ndims () == 2) |
| 78 { | |
| 79 boolMatrix bm = matrix.matrix_value (); | |
| 2871 | 80 |
| 5275 | 81 octave_idx_type nr = bm.rows (); |
| 82 octave_idx_type nc = bm.cols (); | |
| 4513 | 83 |
| 84 if (nr == 1 && nc == 1) | |
| 85 retval = new octave_bool (bm (0, 0)); | |
| 86 } | |
| 2871 | 87 |
| 88 return retval; | |
| 89 } | |
| 90 | |
| 91 bool | |
| 92 octave_bool_matrix::valid_as_scalar_index (void) const | |
| 93 { | |
| 5775 | 94 // FIXME |
| 2871 | 95 return false; |
| 96 } | |
| 97 | |
| 98 double | |
| 99 octave_bool_matrix::double_value (bool) const | |
| 100 { | |
| 4102 | 101 double retval = lo_ieee_nan_value (); |
| 2871 | 102 |
| 4455 | 103 if (rows () > 0 && columns () > 0) |
| 104 { | |
| 5781 | 105 gripe_implicit_conversion ("Octave:array-as-scalar", |
| 106 "bool matrix", "real scalar"); | |
| 4455 | 107 |
| 108 retval = matrix (0, 0); | |
| 109 } | |
| 2871 | 110 else |
| 111 gripe_invalid_conversion ("bool matrix", "real scalar"); | |
| 112 | |
| 113 return retval; | |
| 114 } | |
| 115 | |
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116 float |
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117 octave_bool_matrix::float_value (bool) const |
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118 { |
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119 float retval = lo_ieee_float_nan_value (); |
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120 |
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121 if (rows () > 0 && columns () > 0) |
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122 { |
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123 gripe_implicit_conversion ("Octave:array-as-scalar", |
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124 "bool matrix", "real scalar"); |
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125 |
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126 retval = matrix (0, 0); |
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127 } |
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128 else |
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129 gripe_invalid_conversion ("bool matrix", "real scalar"); |
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130 |
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131 return retval; |
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132 } |
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133 |
| 2871 | 134 Complex |
| 135 octave_bool_matrix::complex_value (bool) const | |
| 136 { | |
| 4102 | 137 double tmp = lo_ieee_nan_value (); |
| 138 | |
| 139 Complex retval (tmp, tmp); | |
| 2871 | 140 |
| 4455 | 141 if (rows () > 0 && columns () > 0) |
| 142 { | |
| 5781 | 143 gripe_implicit_conversion ("Octave:array-as-scalar", |
| 144 "bool matrix", "complex scalar"); | |
| 4455 | 145 |
| 146 retval = matrix (0, 0); | |
| 147 } | |
| 2871 | 148 else |
| 149 gripe_invalid_conversion ("bool matrix", "complex scalar"); | |
| 150 | |
| 151 return retval; | |
| 152 } | |
| 153 | |
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154 FloatComplex |
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155 octave_bool_matrix::float_complex_value (bool) const |
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156 { |
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157 float tmp = lo_ieee_float_nan_value (); |
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158 |
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159 FloatComplex retval (tmp, tmp); |
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160 |
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161 if (rows () > 0 && columns () > 0) |
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162 { |
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163 gripe_implicit_conversion ("Octave:array-as-scalar", |
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164 "bool matrix", "complex scalar"); |
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165 |
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166 retval = matrix (0, 0); |
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167 } |
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168 else |
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169 gripe_invalid_conversion ("bool matrix", "complex scalar"); |
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170 |
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171 return retval; |
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172 } |
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173 |
| 4457 | 174 octave_value |
| 5279 | 175 octave_bool_matrix::convert_to_str_internal (bool pad, bool force, |
| 176 char type) const | |
| 4457 | 177 { |
| 4844 | 178 octave_value tmp = octave_value (array_value ()); |
| 5279 | 179 return tmp.convert_to_str (pad, force, type); |
| 4457 | 180 } |
| 181 | |
| 4643 | 182 void |
| 183 octave_bool_matrix::print_raw (std::ostream& os, | |
| 184 bool pr_as_read_syntax) const | |
| 185 { | |
| 186 octave_print_internal (os, matrix, pr_as_read_syntax, | |
| 187 current_print_indent_level ()); | |
| 188 } | |
| 189 | |
| 4687 | 190 bool |
| 6974 | 191 octave_bool_matrix::save_ascii (std::ostream& os) |
| 4687 | 192 { |
| 193 dim_vector d = dims (); | |
| 194 if (d.length () > 2) | |
| 195 { | |
| 196 NDArray tmp = array_value (); | |
| 197 os << "# ndims: " << d.length () << "\n"; | |
| 198 | |
| 5275 | 199 for (int i = 0; i < d.length (); i++) |
| 4687 | 200 os << " " << d (i); |
| 201 | |
| 202 os << "\n" << tmp; | |
| 203 } | |
| 204 else | |
| 205 { | |
| 206 // Keep this case, rather than use generic code above for backward | |
| 207 // compatiability. Makes load_ascii much more complex!! | |
| 208 os << "# rows: " << rows () << "\n" | |
| 209 << "# columns: " << columns () << "\n"; | |
| 210 | |
| 211 Matrix tmp = matrix_value (); | |
| 212 | |
| 213 os << tmp; | |
| 214 } | |
| 215 | |
| 216 return true; | |
| 217 } | |
| 218 | |
| 219 bool | |
| 220 octave_bool_matrix::load_ascii (std::istream& is) | |
| 221 { | |
| 222 bool success = true; | |
| 223 | |
| 5099 | 224 string_vector keywords (2); |
| 4687 | 225 |
| 5099 | 226 keywords[0] = "ndims"; |
| 227 keywords[1] = "rows"; | |
| 4687 | 228 |
| 5099 | 229 std::string kw; |
| 5275 | 230 octave_idx_type val = 0; |
| 4687 | 231 |
| 5099 | 232 if (extract_keyword (is, keywords, kw, val, true)) |
| 4687 | 233 { |
| 5099 | 234 if (kw == "ndims") |
| 235 { | |
| 5275 | 236 int mdims = static_cast<int> (val); |
| 4687 | 237 |
| 5099 | 238 if (mdims >= 0) |
| 4687 | 239 { |
| 5099 | 240 dim_vector dv; |
| 241 dv.resize (mdims); | |
| 242 | |
| 243 for (int i = 0; i < mdims; i++) | |
| 244 is >> dv(i); | |
| 245 | |
| 6717 | 246 if (is) |
| 247 { | |
| 248 boolNDArray btmp (dv); | |
| 249 | |
| 250 if (btmp.is_empty ()) | |
| 251 matrix = btmp; | |
| 252 else | |
| 253 { | |
| 254 NDArray tmp(dv); | |
| 255 is >> tmp; | |
| 5099 | 256 |
| 6717 | 257 if (is) |
| 258 { | |
| 259 for (octave_idx_type i = 0; i < btmp.nelem (); i++) | |
| 260 btmp.elem (i) = (tmp.elem (i) != 0.); | |
| 261 | |
| 262 matrix = btmp; | |
| 263 } | |
| 264 else | |
| 265 { | |
| 266 error ("load: failed to load matrix constant"); | |
| 267 success = false; | |
| 268 } | |
| 269 } | |
| 270 } | |
| 271 else | |
| 4687 | 272 { |
| 6717 | 273 error ("load: failed to extract dimensions"); |
| 4687 | 274 success = false; |
| 275 } | |
| 276 } | |
| 277 else | |
| 5099 | 278 { |
| 6717 | 279 error ("load: failed to extract number of dimensions"); |
| 5099 | 280 success = false; |
| 281 } | |
| 4687 | 282 } |
| 5099 | 283 else if (kw == "rows") |
| 4687 | 284 { |
| 5275 | 285 octave_idx_type nr = val; |
| 286 octave_idx_type nc = 0; | |
| 5099 | 287 |
| 288 if (nr >= 0 && extract_keyword (is, "columns", nc) && nc >= 0) | |
| 289 { | |
| 290 if (nr > 0 && nc > 0) | |
| 291 { | |
| 292 Matrix tmp (nr, nc); | |
| 293 is >> tmp; | |
| 6717 | 294 if (is) |
| 295 { | |
| 296 boolMatrix btmp (nr, nc); | |
| 297 for (octave_idx_type j = 0; j < nc; j++) | |
| 298 for (octave_idx_type i = 0; i < nr; i++) | |
| 299 btmp.elem (i,j) = (tmp.elem (i, j) != 0.); | |
| 300 | |
| 301 matrix = btmp; | |
| 302 } | |
| 303 else | |
| 5099 | 304 { |
| 305 error ("load: failed to load matrix constant"); | |
| 306 success = false; | |
| 307 } | |
| 308 } | |
| 309 else if (nr == 0 || nc == 0) | |
| 310 matrix = boolMatrix (nr, nc); | |
| 311 else | |
| 312 panic_impossible (); | |
| 313 } | |
| 314 else | |
| 315 { | |
| 316 error ("load: failed to extract number of rows and columns"); | |
| 317 success = false; | |
| 318 } | |
| 4687 | 319 } |
| 5099 | 320 else |
| 321 panic_impossible (); | |
| 322 } | |
| 323 else | |
| 324 { | |
| 325 error ("load: failed to extract number of rows and columns"); | |
| 326 success = false; | |
| 4687 | 327 } |
| 328 | |
| 329 return success; | |
| 330 } | |
| 331 | |
| 332 bool | |
| 333 octave_bool_matrix::save_binary (std::ostream& os, bool& /* save_as_floats */) | |
| 334 { | |
| 335 | |
| 336 dim_vector d = dims (); | |
| 337 if (d.length() < 1) | |
| 338 return false; | |
| 339 | |
| 340 // Use negative value for ndims to differentiate with old format!! | |
| 5828 | 341 int32_t tmp = - d.length(); |
| 5760 | 342 os.write (reinterpret_cast<char *> (&tmp), 4); |
| 5275 | 343 for (int i = 0; i < d.length (); i++) |
| 4687 | 344 { |
| 345 tmp = d(i); | |
| 5760 | 346 os.write (reinterpret_cast<char *> (&tmp), 4); |
| 4687 | 347 } |
| 348 | |
| 349 boolNDArray m = bool_array_value (); | |
| 350 bool *mtmp = m.fortran_vec (); | |
| 5275 | 351 octave_idx_type nel = m.nelem (); |
| 4687 | 352 OCTAVE_LOCAL_BUFFER (char, htmp, nel); |
| 353 | |
| 5275 | 354 for (octave_idx_type i = 0; i < nel; i++) |
| 4687 | 355 htmp[i] = (mtmp[i] ? 1 : 0); |
| 356 | |
| 357 os.write (htmp, nel); | |
| 358 | |
| 359 return true; | |
| 360 } | |
| 361 | |
| 362 bool | |
| 363 octave_bool_matrix::load_binary (std::istream& is, bool swap, | |
| 364 oct_mach_info::float_format /* fmt */) | |
| 365 { | |
| 5828 | 366 int32_t mdims; |
| 5760 | 367 if (! is.read (reinterpret_cast<char *> (&mdims), 4)) |
| 4687 | 368 return false; |
| 369 if (swap) | |
| 4944 | 370 swap_bytes<4> (&mdims); |
| 4687 | 371 if (mdims >= 0) |
| 372 return false; | |
| 373 | |
| 374 // mdims is negative for consistency with other matrices, where it is | |
| 375 // negative to allow the positive value to be used for rows/cols for | |
| 376 // backward compatibility | |
| 377 mdims = - mdims; | |
| 5828 | 378 int32_t di; |
| 4687 | 379 dim_vector dv; |
| 380 dv.resize (mdims); | |
| 381 | |
| 382 for (int i = 0; i < mdims; i++) | |
| 383 { | |
| 5760 | 384 if (! is.read (reinterpret_cast<char *> (&di), 4)) |
| 4687 | 385 return false; |
| 386 if (swap) | |
| 4944 | 387 swap_bytes<4> (&di); |
| 4687 | 388 dv(i) = di; |
| 389 } | |
| 390 | |
| 5157 | 391 // Convert an array with a single dimension to be a row vector. |
| 392 // Octave should never write files like this, other software | |
| 393 // might. | |
| 394 | |
| 395 if (mdims == 1) | |
| 396 { | |
| 397 mdims = 2; | |
| 398 dv.resize (mdims); | |
| 399 dv(1) = dv(0); | |
| 400 dv(0) = 1; | |
| 401 } | |
| 402 | |
| 5275 | 403 octave_idx_type nel = dv.numel (); |
| 4687 | 404 OCTAVE_LOCAL_BUFFER (char, htmp, nel); |
| 405 if (! is.read (htmp, nel)) | |
| 406 return false; | |
| 407 boolNDArray m(dv); | |
| 408 bool *mtmp = m.fortran_vec (); | |
| 5275 | 409 for (octave_idx_type i = 0; i < nel; i++) |
| 4687 | 410 mtmp[i] = (htmp[i] ? 1 : 0); |
| 411 matrix = m; | |
| 412 | |
| 413 return true; | |
| 414 } | |
| 415 | |
| 416 #if defined (HAVE_HDF5) | |
| 4944 | 417 |
| 4687 | 418 bool |
| 419 octave_bool_matrix::save_hdf5 (hid_t loc_id, const char *name, | |
| 420 bool /* save_as_floats */) | |
| 421 { | |
| 4837 | 422 dim_vector dv = dims (); |
| 423 int empty = save_hdf5_empty (loc_id, name, dv); | |
| 424 if (empty) | |
| 4805 | 425 return (empty > 0); |
| 426 | |
| 4837 | 427 int rank = dv.length (); |
| 4687 | 428 hid_t space_hid = -1, data_hid = -1; |
| 429 bool retval = true; | |
| 430 boolNDArray m = bool_array_value (); | |
| 431 | |
| 4805 | 432 OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank); |
| 433 | |
| 4687 | 434 // Octave uses column-major, while HDF5 uses row-major ordering |
| 4805 | 435 for (int i = 0; i < rank; i++) |
| 4837 | 436 hdims[i] = dv (rank-i-1); |
| 4687 | 437 |
| 4815 | 438 space_hid = H5Screate_simple (rank, hdims, 0); |
| 4687 | 439 if (space_hid < 0) return false; |
| 440 | |
| 441 data_hid = H5Dcreate (loc_id, name, H5T_NATIVE_HBOOL, space_hid, | |
| 442 H5P_DEFAULT); | |
| 443 if (data_hid < 0) | |
| 444 { | |
| 445 H5Sclose (space_hid); | |
| 446 return false; | |
| 447 } | |
| 448 | |
| 5275 | 449 octave_idx_type nel = m.nelem (); |
| 4687 | 450 bool *mtmp = m.fortran_vec (); |
| 6276 | 451 OCTAVE_LOCAL_BUFFER (hbool_t, htmp, nel); |
| 4687 | 452 |
| 5275 | 453 for (octave_idx_type i = 0; i < nel; i++) |
| 4687 | 454 htmp[i] = mtmp[i]; |
| 455 | |
| 456 retval = H5Dwrite (data_hid, H5T_NATIVE_HBOOL, H5S_ALL, H5S_ALL, | |
| 4815 | 457 H5P_DEFAULT, htmp) >= 0; |
| 4687 | 458 |
| 459 H5Dclose (data_hid); | |
| 460 H5Sclose (space_hid); | |
| 4837 | 461 |
| 4687 | 462 return retval; |
| 463 } | |
| 464 | |
| 465 bool | |
| 466 octave_bool_matrix::load_hdf5 (hid_t loc_id, const char *name, | |
| 467 bool /* have_h5giterate_bug */) | |
| 468 { | |
| 4837 | 469 bool retval = false; |
| 470 | |
| 4805 | 471 dim_vector dv; |
| 472 int empty = load_hdf5_empty (loc_id, name, dv); | |
| 473 if (empty > 0) | |
| 474 matrix.resize(dv); | |
| 4837 | 475 if (empty) |
| 476 return (empty > 0); | |
| 4805 | 477 |
| 4687 | 478 hid_t data_hid = H5Dopen (loc_id, name); |
| 479 hid_t space_id = H5Dget_space (data_hid); | |
| 480 | |
| 481 hsize_t rank = H5Sget_simple_extent_ndims (space_id); | |
| 482 | |
| 483 if (rank < 1) | |
| 484 { | |
| 485 H5Dclose (data_hid); | |
| 486 return false; | |
| 487 } | |
| 488 | |
| 489 OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank); | |
| 490 OCTAVE_LOCAL_BUFFER (hsize_t, maxdims, rank); | |
| 491 | |
| 492 H5Sget_simple_extent_dims (space_id, hdims, maxdims); | |
| 493 | |
| 494 // Octave uses column-major, while HDF5 uses row-major ordering | |
| 495 if (rank == 1) | |
| 496 { | |
| 497 dv.resize (2); | |
| 498 dv(0) = 1; | |
| 499 dv(1) = hdims[0]; | |
| 500 } | |
| 501 else | |
| 502 { | |
| 503 dv.resize (rank); | |
| 4815 | 504 for (hsize_t i = 0, j = rank - 1; i < rank; i++, j--) |
| 4687 | 505 dv(j) = hdims[i]; |
| 506 } | |
| 507 | |
| 5275 | 508 octave_idx_type nel = dv.numel (); |
| 6276 | 509 OCTAVE_LOCAL_BUFFER (hbool_t, htmp, nel); |
| 6718 | 510 if (H5Dread (data_hid, H5T_NATIVE_HBOOL, H5S_ALL, H5S_ALL, H5P_DEFAULT, htmp) >= 0) |
| 4687 | 511 { |
| 512 retval = true; | |
| 513 | |
| 514 boolNDArray btmp (dv); | |
| 5275 | 515 for (octave_idx_type i = 0; i < nel; i++) |
| 4687 | 516 btmp.elem (i) = htmp[i]; |
| 517 | |
| 518 matrix = btmp; | |
| 519 } | |
| 520 | |
| 521 H5Dclose (data_hid); | |
| 4837 | 522 |
| 4687 | 523 return retval; |
| 524 } | |
| 4944 | 525 |
| 4687 | 526 #endif |
| 527 | |
| 5900 | 528 mxArray * |
| 529 octave_bool_matrix::as_mxArray (void) const | |
| 530 { | |
| 531 mxArray *retval = new mxArray (mxLOGICAL_CLASS, dims (), mxREAL); | |
| 532 | |
| 533 bool *pr = static_cast<bool *> (retval->get_data ()); | |
| 534 | |
| 6686 | 535 mwSize nel = numel (); |
| 5900 | 536 |
| 537 const bool *p = matrix.data (); | |
| 538 | |
| 6686 | 539 for (mwIndex i = 0; i < nel; i++) |
| 5900 | 540 pr[i] = p[i]; |
| 541 | |
| 542 return retval; | |
| 543 } | |
| 544 | |
| 2871 | 545 /* |
| 546 ;;; Local Variables: *** | |
| 547 ;;; mode: C++ *** | |
| 548 ;;; End: *** | |
| 549 */ |