Mercurial > octave
annotate src/ov-bool-mat.cc @ 9850:85f6c386f2bb
implement built-in logical
| author | Jaroslav Hajek <highegg@gmail.com> |
|---|---|
| date | Mon, 23 Nov 2009 06:55:30 +0100 |
| parents | eb63fbe60fab |
| children | aabf7a8c2e57 |
| rev | line source |
|---|---|
| 2871 | 1 /* |
| 2 | |
| 7017 | 3 Copyright (C) 1996, 1997, 1998, 2000, 2001, 2002, 2003, 2004, 2005, |
| 8920 | 4 2006, 2007, 2008 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" | |
|
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33 #include "oct-locbuf.h" |
| 2871 | 34 |
| 35 #include "gripes.h" | |
| 36 #include "oct-obj.h" | |
| 37 #include "ops.h" | |
| 3219 | 38 #include "ov-base.h" |
| 39 #include "ov-base-mat.h" | |
| 40 #include "ov-base-mat.cc" | |
| 2871 | 41 #include "ov-bool.h" |
| 42 #include "ov-bool-mat.h" | |
| 43 #include "ov-re-mat.h" | |
| 44 #include "pr-output.h" | |
| 45 | |
| 4687 | 46 #include "byte-swap.h" |
| 47 #include "ls-oct-ascii.h" | |
| 48 #include "ls-hdf5.h" | |
| 49 #include "ls-utils.h" | |
| 50 | |
| 4513 | 51 template class octave_base_matrix<boolNDArray>; |
| 2871 | 52 |
| 3219 | 53 DEFINE_OCTAVE_ALLOCATOR (octave_bool_matrix); |
| 2871 | 54 |
| 4612 | 55 DEFINE_OV_TYPEID_FUNCTIONS_AND_DATA (octave_bool_matrix, |
| 56 "bool matrix", "logical"); | |
| 2871 | 57 |
| 5759 | 58 static octave_base_value * |
| 59 default_numeric_conversion_function (const octave_base_value& a) | |
| 2871 | 60 { |
| 61 CAST_CONV_ARG (const octave_bool_matrix&); | |
| 62 | |
| 4668 | 63 return new octave_matrix (NDArray (v.bool_array_value ())); |
| 2871 | 64 } |
| 65 | |
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66 octave_base_value::type_conv_info |
| 2871 | 67 octave_bool_matrix::numeric_conversion_function (void) const |
| 68 { | |
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69 return octave_base_value::type_conv_info (default_numeric_conversion_function, |
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70 octave_matrix::static_type_id ()); |
| 2871 | 71 } |
| 72 | |
| 5759 | 73 octave_base_value * |
| 2871 | 74 octave_bool_matrix::try_narrowing_conversion (void) |
| 75 { | |
| 5759 | 76 octave_base_value *retval = 0; |
| 2871 | 77 |
| 4513 | 78 if (matrix.ndims () == 2) |
| 79 { | |
| 80 boolMatrix bm = matrix.matrix_value (); | |
| 2871 | 81 |
| 5275 | 82 octave_idx_type nr = bm.rows (); |
| 83 octave_idx_type nc = bm.cols (); | |
| 4513 | 84 |
| 85 if (nr == 1 && nc == 1) | |
| 86 retval = new octave_bool (bm (0, 0)); | |
| 87 } | |
| 2871 | 88 |
| 89 return retval; | |
| 90 } | |
| 91 | |
| 92 double | |
| 93 octave_bool_matrix::double_value (bool) const | |
| 94 { | |
| 4102 | 95 double retval = lo_ieee_nan_value (); |
| 2871 | 96 |
| 4455 | 97 if (rows () > 0 && columns () > 0) |
| 98 { | |
| 5781 | 99 gripe_implicit_conversion ("Octave:array-as-scalar", |
| 100 "bool matrix", "real scalar"); | |
| 4455 | 101 |
| 102 retval = matrix (0, 0); | |
| 103 } | |
| 2871 | 104 else |
| 105 gripe_invalid_conversion ("bool matrix", "real scalar"); | |
| 106 | |
| 107 return retval; | |
| 108 } | |
| 109 | |
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110 float |
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111 octave_bool_matrix::float_value (bool) const |
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112 { |
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113 float retval = lo_ieee_float_nan_value (); |
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114 |
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115 if (rows () > 0 && columns () > 0) |
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116 { |
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117 gripe_implicit_conversion ("Octave:array-as-scalar", |
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118 "bool matrix", "real scalar"); |
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119 |
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120 retval = matrix (0, 0); |
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121 } |
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122 else |
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123 gripe_invalid_conversion ("bool matrix", "real scalar"); |
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124 |
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125 return retval; |
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126 } |
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127 |
| 2871 | 128 Complex |
| 129 octave_bool_matrix::complex_value (bool) const | |
| 130 { | |
| 4102 | 131 double tmp = lo_ieee_nan_value (); |
| 132 | |
| 133 Complex retval (tmp, tmp); | |
| 2871 | 134 |
| 4455 | 135 if (rows () > 0 && columns () > 0) |
| 136 { | |
| 5781 | 137 gripe_implicit_conversion ("Octave:array-as-scalar", |
| 138 "bool matrix", "complex scalar"); | |
| 4455 | 139 |
| 140 retval = matrix (0, 0); | |
| 141 } | |
| 2871 | 142 else |
| 143 gripe_invalid_conversion ("bool matrix", "complex scalar"); | |
| 144 | |
| 145 return retval; | |
| 146 } | |
| 147 | |
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148 FloatComplex |
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149 octave_bool_matrix::float_complex_value (bool) const |
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150 { |
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151 float tmp = lo_ieee_float_nan_value (); |
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152 |
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153 FloatComplex retval (tmp, tmp); |
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154 |
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155 if (rows () > 0 && columns () > 0) |
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156 { |
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157 gripe_implicit_conversion ("Octave:array-as-scalar", |
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158 "bool matrix", "complex scalar"); |
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159 |
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160 retval = matrix (0, 0); |
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161 } |
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162 else |
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163 gripe_invalid_conversion ("bool matrix", "complex scalar"); |
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164 |
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165 return retval; |
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166 } |
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167 |
| 4457 | 168 octave_value |
| 5279 | 169 octave_bool_matrix::convert_to_str_internal (bool pad, bool force, |
| 170 char type) const | |
| 4457 | 171 { |
| 4844 | 172 octave_value tmp = octave_value (array_value ()); |
| 5279 | 173 return tmp.convert_to_str (pad, force, type); |
| 4457 | 174 } |
| 175 | |
| 4643 | 176 void |
| 177 octave_bool_matrix::print_raw (std::ostream& os, | |
| 178 bool pr_as_read_syntax) const | |
| 179 { | |
| 180 octave_print_internal (os, matrix, pr_as_read_syntax, | |
| 181 current_print_indent_level ()); | |
| 182 } | |
| 183 | |
| 4687 | 184 bool |
| 6974 | 185 octave_bool_matrix::save_ascii (std::ostream& os) |
| 4687 | 186 { |
| 187 dim_vector d = dims (); | |
| 188 if (d.length () > 2) | |
| 189 { | |
| 190 NDArray tmp = array_value (); | |
| 191 os << "# ndims: " << d.length () << "\n"; | |
| 192 | |
| 5275 | 193 for (int i = 0; i < d.length (); i++) |
| 4687 | 194 os << " " << d (i); |
| 195 | |
| 196 os << "\n" << tmp; | |
| 197 } | |
| 198 else | |
| 199 { | |
| 200 // Keep this case, rather than use generic code above for backward | |
| 201 // compatiability. Makes load_ascii much more complex!! | |
| 202 os << "# rows: " << rows () << "\n" | |
| 203 << "# columns: " << columns () << "\n"; | |
| 204 | |
| 205 Matrix tmp = matrix_value (); | |
| 206 | |
| 207 os << tmp; | |
| 208 } | |
| 209 | |
| 210 return true; | |
| 211 } | |
| 212 | |
| 213 bool | |
| 214 octave_bool_matrix::load_ascii (std::istream& is) | |
| 215 { | |
| 216 bool success = true; | |
| 217 | |
| 5099 | 218 string_vector keywords (2); |
| 4687 | 219 |
| 5099 | 220 keywords[0] = "ndims"; |
| 221 keywords[1] = "rows"; | |
| 4687 | 222 |
| 5099 | 223 std::string kw; |
| 5275 | 224 octave_idx_type val = 0; |
| 4687 | 225 |
| 5099 | 226 if (extract_keyword (is, keywords, kw, val, true)) |
| 4687 | 227 { |
| 5099 | 228 if (kw == "ndims") |
| 229 { | |
| 5275 | 230 int mdims = static_cast<int> (val); |
| 4687 | 231 |
| 5099 | 232 if (mdims >= 0) |
| 4687 | 233 { |
| 5099 | 234 dim_vector dv; |
| 235 dv.resize (mdims); | |
| 236 | |
| 237 for (int i = 0; i < mdims; i++) | |
| 238 is >> dv(i); | |
| 239 | |
| 6717 | 240 if (is) |
| 241 { | |
| 242 boolNDArray btmp (dv); | |
| 243 | |
| 244 if (btmp.is_empty ()) | |
| 245 matrix = btmp; | |
| 246 else | |
| 247 { | |
| 248 NDArray tmp(dv); | |
| 249 is >> tmp; | |
| 5099 | 250 |
| 6717 | 251 if (is) |
| 252 { | |
| 253 for (octave_idx_type i = 0; i < btmp.nelem (); i++) | |
| 254 btmp.elem (i) = (tmp.elem (i) != 0.); | |
| 255 | |
| 256 matrix = btmp; | |
| 257 } | |
| 258 else | |
| 259 { | |
| 260 error ("load: failed to load matrix constant"); | |
| 261 success = false; | |
| 262 } | |
| 263 } | |
| 264 } | |
| 265 else | |
| 4687 | 266 { |
| 6717 | 267 error ("load: failed to extract dimensions"); |
| 4687 | 268 success = false; |
| 269 } | |
| 270 } | |
| 271 else | |
| 5099 | 272 { |
| 6717 | 273 error ("load: failed to extract number of dimensions"); |
| 5099 | 274 success = false; |
| 275 } | |
| 4687 | 276 } |
| 5099 | 277 else if (kw == "rows") |
| 4687 | 278 { |
| 5275 | 279 octave_idx_type nr = val; |
| 280 octave_idx_type nc = 0; | |
| 5099 | 281 |
| 282 if (nr >= 0 && extract_keyword (is, "columns", nc) && nc >= 0) | |
| 283 { | |
| 284 if (nr > 0 && nc > 0) | |
| 285 { | |
| 286 Matrix tmp (nr, nc); | |
| 287 is >> tmp; | |
| 6717 | 288 if (is) |
| 289 { | |
| 290 boolMatrix btmp (nr, nc); | |
| 291 for (octave_idx_type j = 0; j < nc; j++) | |
| 292 for (octave_idx_type i = 0; i < nr; i++) | |
| 293 btmp.elem (i,j) = (tmp.elem (i, j) != 0.); | |
| 294 | |
| 295 matrix = btmp; | |
| 296 } | |
| 297 else | |
| 5099 | 298 { |
| 299 error ("load: failed to load matrix constant"); | |
| 300 success = false; | |
| 301 } | |
| 302 } | |
| 303 else if (nr == 0 || nc == 0) | |
| 304 matrix = boolMatrix (nr, nc); | |
| 305 else | |
| 306 panic_impossible (); | |
| 307 } | |
| 308 else | |
| 309 { | |
| 310 error ("load: failed to extract number of rows and columns"); | |
| 311 success = false; | |
| 312 } | |
| 4687 | 313 } |
| 5099 | 314 else |
| 315 panic_impossible (); | |
| 316 } | |
| 317 else | |
| 318 { | |
| 319 error ("load: failed to extract number of rows and columns"); | |
| 320 success = false; | |
| 4687 | 321 } |
| 322 | |
| 323 return success; | |
| 324 } | |
| 325 | |
| 326 bool | |
| 327 octave_bool_matrix::save_binary (std::ostream& os, bool& /* save_as_floats */) | |
| 328 { | |
| 329 | |
| 330 dim_vector d = dims (); | |
| 331 if (d.length() < 1) | |
| 332 return false; | |
| 333 | |
| 334 // Use negative value for ndims to differentiate with old format!! | |
| 5828 | 335 int32_t tmp = - d.length(); |
| 5760 | 336 os.write (reinterpret_cast<char *> (&tmp), 4); |
| 5275 | 337 for (int i = 0; i < d.length (); i++) |
| 4687 | 338 { |
| 339 tmp = d(i); | |
| 5760 | 340 os.write (reinterpret_cast<char *> (&tmp), 4); |
| 4687 | 341 } |
| 342 | |
| 343 boolNDArray m = bool_array_value (); | |
| 344 bool *mtmp = m.fortran_vec (); | |
| 5275 | 345 octave_idx_type nel = m.nelem (); |
| 4687 | 346 OCTAVE_LOCAL_BUFFER (char, htmp, nel); |
| 347 | |
| 5275 | 348 for (octave_idx_type i = 0; i < nel; i++) |
| 4687 | 349 htmp[i] = (mtmp[i] ? 1 : 0); |
| 350 | |
| 351 os.write (htmp, nel); | |
| 352 | |
| 353 return true; | |
| 354 } | |
| 355 | |
| 356 bool | |
| 357 octave_bool_matrix::load_binary (std::istream& is, bool swap, | |
| 358 oct_mach_info::float_format /* fmt */) | |
| 359 { | |
| 5828 | 360 int32_t mdims; |
| 5760 | 361 if (! is.read (reinterpret_cast<char *> (&mdims), 4)) |
| 4687 | 362 return false; |
| 363 if (swap) | |
| 4944 | 364 swap_bytes<4> (&mdims); |
| 4687 | 365 if (mdims >= 0) |
| 366 return false; | |
| 367 | |
| 368 // mdims is negative for consistency with other matrices, where it is | |
| 369 // negative to allow the positive value to be used for rows/cols for | |
| 370 // backward compatibility | |
| 371 mdims = - mdims; | |
| 5828 | 372 int32_t di; |
| 4687 | 373 dim_vector dv; |
| 374 dv.resize (mdims); | |
| 375 | |
| 376 for (int i = 0; i < mdims; i++) | |
| 377 { | |
| 5760 | 378 if (! is.read (reinterpret_cast<char *> (&di), 4)) |
| 4687 | 379 return false; |
| 380 if (swap) | |
| 4944 | 381 swap_bytes<4> (&di); |
| 4687 | 382 dv(i) = di; |
| 383 } | |
| 384 | |
| 5157 | 385 // Convert an array with a single dimension to be a row vector. |
| 386 // Octave should never write files like this, other software | |
| 387 // might. | |
| 388 | |
| 389 if (mdims == 1) | |
| 390 { | |
| 391 mdims = 2; | |
| 392 dv.resize (mdims); | |
| 393 dv(1) = dv(0); | |
| 394 dv(0) = 1; | |
| 395 } | |
| 396 | |
| 5275 | 397 octave_idx_type nel = dv.numel (); |
| 4687 | 398 OCTAVE_LOCAL_BUFFER (char, htmp, nel); |
| 399 if (! is.read (htmp, nel)) | |
| 400 return false; | |
| 401 boolNDArray m(dv); | |
| 402 bool *mtmp = m.fortran_vec (); | |
| 5275 | 403 for (octave_idx_type i = 0; i < nel; i++) |
| 4687 | 404 mtmp[i] = (htmp[i] ? 1 : 0); |
| 405 matrix = m; | |
| 406 | |
| 407 return true; | |
| 408 } | |
| 409 | |
| 410 #if defined (HAVE_HDF5) | |
| 4944 | 411 |
| 4687 | 412 bool |
| 413 octave_bool_matrix::save_hdf5 (hid_t loc_id, const char *name, | |
| 414 bool /* save_as_floats */) | |
| 415 { | |
| 4837 | 416 dim_vector dv = dims (); |
| 417 int empty = save_hdf5_empty (loc_id, name, dv); | |
| 418 if (empty) | |
| 4805 | 419 return (empty > 0); |
| 420 | |
| 4837 | 421 int rank = dv.length (); |
| 4687 | 422 hid_t space_hid = -1, data_hid = -1; |
| 423 bool retval = true; | |
| 424 boolNDArray m = bool_array_value (); | |
| 425 | |
| 4805 | 426 OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank); |
| 427 | |
| 4687 | 428 // Octave uses column-major, while HDF5 uses row-major ordering |
| 4805 | 429 for (int i = 0; i < rank; i++) |
| 4837 | 430 hdims[i] = dv (rank-i-1); |
| 4687 | 431 |
| 4815 | 432 space_hid = H5Screate_simple (rank, hdims, 0); |
| 4687 | 433 if (space_hid < 0) return false; |
| 434 | |
| 435 data_hid = H5Dcreate (loc_id, name, H5T_NATIVE_HBOOL, space_hid, | |
| 436 H5P_DEFAULT); | |
| 437 if (data_hid < 0) | |
| 438 { | |
| 439 H5Sclose (space_hid); | |
| 440 return false; | |
| 441 } | |
| 442 | |
| 5275 | 443 octave_idx_type nel = m.nelem (); |
| 4687 | 444 bool *mtmp = m.fortran_vec (); |
| 6276 | 445 OCTAVE_LOCAL_BUFFER (hbool_t, htmp, nel); |
| 4687 | 446 |
| 5275 | 447 for (octave_idx_type i = 0; i < nel; i++) |
| 4687 | 448 htmp[i] = mtmp[i]; |
| 449 | |
| 450 retval = H5Dwrite (data_hid, H5T_NATIVE_HBOOL, H5S_ALL, H5S_ALL, | |
| 4815 | 451 H5P_DEFAULT, htmp) >= 0; |
| 4687 | 452 |
| 453 H5Dclose (data_hid); | |
| 454 H5Sclose (space_hid); | |
| 4837 | 455 |
| 4687 | 456 return retval; |
| 457 } | |
| 458 | |
| 459 bool | |
| 460 octave_bool_matrix::load_hdf5 (hid_t loc_id, const char *name, | |
| 461 bool /* have_h5giterate_bug */) | |
| 462 { | |
| 4837 | 463 bool retval = false; |
| 464 | |
| 4805 | 465 dim_vector dv; |
| 466 int empty = load_hdf5_empty (loc_id, name, dv); | |
| 467 if (empty > 0) | |
| 468 matrix.resize(dv); | |
| 4837 | 469 if (empty) |
| 470 return (empty > 0); | |
| 4805 | 471 |
| 4687 | 472 hid_t data_hid = H5Dopen (loc_id, name); |
| 473 hid_t space_id = H5Dget_space (data_hid); | |
| 474 | |
| 475 hsize_t rank = H5Sget_simple_extent_ndims (space_id); | |
| 476 | |
| 477 if (rank < 1) | |
| 478 { | |
| 479 H5Dclose (data_hid); | |
| 480 return false; | |
| 481 } | |
| 482 | |
| 483 OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank); | |
| 484 OCTAVE_LOCAL_BUFFER (hsize_t, maxdims, rank); | |
| 485 | |
| 486 H5Sget_simple_extent_dims (space_id, hdims, maxdims); | |
| 487 | |
| 488 // Octave uses column-major, while HDF5 uses row-major ordering | |
| 489 if (rank == 1) | |
| 490 { | |
| 491 dv.resize (2); | |
| 492 dv(0) = 1; | |
| 493 dv(1) = hdims[0]; | |
| 494 } | |
| 495 else | |
| 496 { | |
| 497 dv.resize (rank); | |
| 4815 | 498 for (hsize_t i = 0, j = rank - 1; i < rank; i++, j--) |
| 4687 | 499 dv(j) = hdims[i]; |
| 500 } | |
| 501 | |
| 5275 | 502 octave_idx_type nel = dv.numel (); |
| 6276 | 503 OCTAVE_LOCAL_BUFFER (hbool_t, htmp, nel); |
| 6718 | 504 if (H5Dread (data_hid, H5T_NATIVE_HBOOL, H5S_ALL, H5S_ALL, H5P_DEFAULT, htmp) >= 0) |
| 4687 | 505 { |
| 506 retval = true; | |
| 507 | |
| 508 boolNDArray btmp (dv); | |
| 5275 | 509 for (octave_idx_type i = 0; i < nel; i++) |
| 4687 | 510 btmp.elem (i) = htmp[i]; |
| 511 | |
| 512 matrix = btmp; | |
| 513 } | |
| 514 | |
| 515 H5Dclose (data_hid); | |
| 4837 | 516 |
| 4687 | 517 return retval; |
| 518 } | |
| 4944 | 519 |
| 4687 | 520 #endif |
| 521 | |
| 5900 | 522 mxArray * |
| 523 octave_bool_matrix::as_mxArray (void) const | |
| 524 { | |
| 525 mxArray *retval = new mxArray (mxLOGICAL_CLASS, dims (), mxREAL); | |
| 526 | |
| 527 bool *pr = static_cast<bool *> (retval->get_data ()); | |
| 528 | |
| 6686 | 529 mwSize nel = numel (); |
| 5900 | 530 |
| 531 const bool *p = matrix.data (); | |
| 532 | |
| 6686 | 533 for (mwIndex i = 0; i < nel; i++) |
| 5900 | 534 pr[i] = p[i]; |
| 535 | |
| 536 return retval; | |
| 537 } | |
| 538 | |
|
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539 DEFUN (logical, args, , |
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540 "-*- texinfo -*-\n\ |
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541 @deftypefn {Built-in Function} {} logical (@var{x})\n\ |
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542 Convert @var{x} to logical type.\n\ |
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543 @seealso{double, single, char}\n\ |
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544 @end deftypefn") |
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545 { |
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546 octave_value retval; |
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547 |
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548 if (args.length () == 1) |
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549 { |
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550 octave_value arg = args(0); |
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551 if (arg.is_bool_type ()) |
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552 retval = arg; |
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553 else if (arg.is_numeric_type ()) |
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554 { |
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555 if (arg.is_sparse_type ()) |
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556 retval = arg.sparse_bool_matrix_value (); |
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557 else if (arg.is_scalar_type ()) |
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558 retval = arg.bool_value (); |
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559 else |
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560 retval = arg.bool_array_value (); |
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561 } |
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562 else |
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563 gripe_wrong_type_arg ("logical", arg); |
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564 } |
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565 else |
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566 print_usage (); |
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567 |
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568 return retval; |
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569 } |
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570 |
| 2871 | 571 /* |
| 572 ;;; Local Variables: *** | |
| 573 ;;; mode: C++ *** | |
| 574 ;;; End: *** | |
| 575 */ |