Mercurial > octave
annotate src/ov-bool-mat.cc @ 9852:aabf7a8c2e57
implement sparse logical conversion
| author | Jaroslav Hajek <highegg@gmail.com> |
|---|---|
| date | Mon, 23 Nov 2009 10:00:29 +0100 |
| parents | 85f6c386f2bb |
| children | b3089dba88bf |
| 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 |
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35 #include "defun.h" |
| 2871 | 36 #include "gripes.h" |
| 37 #include "oct-obj.h" | |
| 38 #include "ops.h" | |
| 3219 | 39 #include "ov-base.h" |
| 40 #include "ov-base-mat.h" | |
| 41 #include "ov-base-mat.cc" | |
| 2871 | 42 #include "ov-bool.h" |
| 43 #include "ov-bool-mat.h" | |
| 44 #include "ov-re-mat.h" | |
| 45 #include "pr-output.h" | |
| 46 | |
| 4687 | 47 #include "byte-swap.h" |
| 48 #include "ls-oct-ascii.h" | |
| 49 #include "ls-hdf5.h" | |
| 50 #include "ls-utils.h" | |
| 51 | |
| 4513 | 52 template class octave_base_matrix<boolNDArray>; |
| 2871 | 53 |
| 3219 | 54 DEFINE_OCTAVE_ALLOCATOR (octave_bool_matrix); |
| 2871 | 55 |
| 4612 | 56 DEFINE_OV_TYPEID_FUNCTIONS_AND_DATA (octave_bool_matrix, |
| 57 "bool matrix", "logical"); | |
| 2871 | 58 |
| 5759 | 59 static octave_base_value * |
| 60 default_numeric_conversion_function (const octave_base_value& a) | |
| 2871 | 61 { |
| 62 CAST_CONV_ARG (const octave_bool_matrix&); | |
| 63 | |
| 4668 | 64 return new octave_matrix (NDArray (v.bool_array_value ())); |
| 2871 | 65 } |
| 66 | |
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67 octave_base_value::type_conv_info |
| 2871 | 68 octave_bool_matrix::numeric_conversion_function (void) const |
| 69 { | |
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70 return octave_base_value::type_conv_info (default_numeric_conversion_function, |
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71 octave_matrix::static_type_id ()); |
| 2871 | 72 } |
| 73 | |
| 5759 | 74 octave_base_value * |
| 2871 | 75 octave_bool_matrix::try_narrowing_conversion (void) |
| 76 { | |
| 5759 | 77 octave_base_value *retval = 0; |
| 2871 | 78 |
| 4513 | 79 if (matrix.ndims () == 2) |
| 80 { | |
| 81 boolMatrix bm = matrix.matrix_value (); | |
| 2871 | 82 |
| 5275 | 83 octave_idx_type nr = bm.rows (); |
| 84 octave_idx_type nc = bm.cols (); | |
| 4513 | 85 |
| 86 if (nr == 1 && nc == 1) | |
| 87 retval = new octave_bool (bm (0, 0)); | |
| 88 } | |
| 2871 | 89 |
| 90 return retval; | |
| 91 } | |
| 92 | |
| 93 double | |
| 94 octave_bool_matrix::double_value (bool) const | |
| 95 { | |
| 4102 | 96 double retval = lo_ieee_nan_value (); |
| 2871 | 97 |
| 4455 | 98 if (rows () > 0 && columns () > 0) |
| 99 { | |
| 5781 | 100 gripe_implicit_conversion ("Octave:array-as-scalar", |
| 101 "bool matrix", "real scalar"); | |
| 4455 | 102 |
| 103 retval = matrix (0, 0); | |
| 104 } | |
| 2871 | 105 else |
| 106 gripe_invalid_conversion ("bool matrix", "real scalar"); | |
| 107 | |
| 108 return retval; | |
| 109 } | |
| 110 | |
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111 float |
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112 octave_bool_matrix::float_value (bool) const |
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113 { |
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114 float retval = lo_ieee_float_nan_value (); |
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115 |
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116 if (rows () > 0 && columns () > 0) |
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117 { |
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118 gripe_implicit_conversion ("Octave:array-as-scalar", |
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119 "bool matrix", "real scalar"); |
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120 |
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121 retval = matrix (0, 0); |
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122 } |
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123 else |
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124 gripe_invalid_conversion ("bool matrix", "real scalar"); |
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125 |
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126 return retval; |
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127 } |
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128 |
| 2871 | 129 Complex |
| 130 octave_bool_matrix::complex_value (bool) const | |
| 131 { | |
| 4102 | 132 double tmp = lo_ieee_nan_value (); |
| 133 | |
| 134 Complex retval (tmp, tmp); | |
| 2871 | 135 |
| 4455 | 136 if (rows () > 0 && columns () > 0) |
| 137 { | |
| 5781 | 138 gripe_implicit_conversion ("Octave:array-as-scalar", |
| 139 "bool matrix", "complex scalar"); | |
| 4455 | 140 |
| 141 retval = matrix (0, 0); | |
| 142 } | |
| 2871 | 143 else |
| 144 gripe_invalid_conversion ("bool matrix", "complex scalar"); | |
| 145 | |
| 146 return retval; | |
| 147 } | |
| 148 | |
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149 FloatComplex |
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150 octave_bool_matrix::float_complex_value (bool) const |
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151 { |
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152 float tmp = lo_ieee_float_nan_value (); |
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153 |
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154 FloatComplex retval (tmp, tmp); |
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155 |
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156 if (rows () > 0 && columns () > 0) |
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157 { |
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158 gripe_implicit_conversion ("Octave:array-as-scalar", |
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159 "bool matrix", "complex scalar"); |
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160 |
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161 retval = matrix (0, 0); |
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162 } |
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163 else |
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164 gripe_invalid_conversion ("bool matrix", "complex scalar"); |
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165 |
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166 return retval; |
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167 } |
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168 |
| 4457 | 169 octave_value |
| 5279 | 170 octave_bool_matrix::convert_to_str_internal (bool pad, bool force, |
| 171 char type) const | |
| 4457 | 172 { |
| 4844 | 173 octave_value tmp = octave_value (array_value ()); |
| 5279 | 174 return tmp.convert_to_str (pad, force, type); |
| 4457 | 175 } |
| 176 | |
| 4643 | 177 void |
| 178 octave_bool_matrix::print_raw (std::ostream& os, | |
| 179 bool pr_as_read_syntax) const | |
| 180 { | |
| 181 octave_print_internal (os, matrix, pr_as_read_syntax, | |
| 182 current_print_indent_level ()); | |
| 183 } | |
| 184 | |
| 4687 | 185 bool |
| 6974 | 186 octave_bool_matrix::save_ascii (std::ostream& os) |
| 4687 | 187 { |
| 188 dim_vector d = dims (); | |
| 189 if (d.length () > 2) | |
| 190 { | |
| 191 NDArray tmp = array_value (); | |
| 192 os << "# ndims: " << d.length () << "\n"; | |
| 193 | |
| 5275 | 194 for (int i = 0; i < d.length (); i++) |
| 4687 | 195 os << " " << d (i); |
| 196 | |
| 197 os << "\n" << tmp; | |
| 198 } | |
| 199 else | |
| 200 { | |
| 201 // Keep this case, rather than use generic code above for backward | |
| 202 // compatiability. Makes load_ascii much more complex!! | |
| 203 os << "# rows: " << rows () << "\n" | |
| 204 << "# columns: " << columns () << "\n"; | |
| 205 | |
| 206 Matrix tmp = matrix_value (); | |
| 207 | |
| 208 os << tmp; | |
| 209 } | |
| 210 | |
| 211 return true; | |
| 212 } | |
| 213 | |
| 214 bool | |
| 215 octave_bool_matrix::load_ascii (std::istream& is) | |
| 216 { | |
| 217 bool success = true; | |
| 218 | |
| 5099 | 219 string_vector keywords (2); |
| 4687 | 220 |
| 5099 | 221 keywords[0] = "ndims"; |
| 222 keywords[1] = "rows"; | |
| 4687 | 223 |
| 5099 | 224 std::string kw; |
| 5275 | 225 octave_idx_type val = 0; |
| 4687 | 226 |
| 5099 | 227 if (extract_keyword (is, keywords, kw, val, true)) |
| 4687 | 228 { |
| 5099 | 229 if (kw == "ndims") |
| 230 { | |
| 5275 | 231 int mdims = static_cast<int> (val); |
| 4687 | 232 |
| 5099 | 233 if (mdims >= 0) |
| 4687 | 234 { |
| 5099 | 235 dim_vector dv; |
| 236 dv.resize (mdims); | |
| 237 | |
| 238 for (int i = 0; i < mdims; i++) | |
| 239 is >> dv(i); | |
| 240 | |
| 6717 | 241 if (is) |
| 242 { | |
| 243 boolNDArray btmp (dv); | |
| 244 | |
| 245 if (btmp.is_empty ()) | |
| 246 matrix = btmp; | |
| 247 else | |
| 248 { | |
| 249 NDArray tmp(dv); | |
| 250 is >> tmp; | |
| 5099 | 251 |
| 6717 | 252 if (is) |
| 253 { | |
| 254 for (octave_idx_type i = 0; i < btmp.nelem (); i++) | |
| 255 btmp.elem (i) = (tmp.elem (i) != 0.); | |
| 256 | |
| 257 matrix = btmp; | |
| 258 } | |
| 259 else | |
| 260 { | |
| 261 error ("load: failed to load matrix constant"); | |
| 262 success = false; | |
| 263 } | |
| 264 } | |
| 265 } | |
| 266 else | |
| 4687 | 267 { |
| 6717 | 268 error ("load: failed to extract dimensions"); |
| 4687 | 269 success = false; |
| 270 } | |
| 271 } | |
| 272 else | |
| 5099 | 273 { |
| 6717 | 274 error ("load: failed to extract number of dimensions"); |
| 5099 | 275 success = false; |
| 276 } | |
| 4687 | 277 } |
| 5099 | 278 else if (kw == "rows") |
| 4687 | 279 { |
| 5275 | 280 octave_idx_type nr = val; |
| 281 octave_idx_type nc = 0; | |
| 5099 | 282 |
| 283 if (nr >= 0 && extract_keyword (is, "columns", nc) && nc >= 0) | |
| 284 { | |
| 285 if (nr > 0 && nc > 0) | |
| 286 { | |
| 287 Matrix tmp (nr, nc); | |
| 288 is >> tmp; | |
| 6717 | 289 if (is) |
| 290 { | |
| 291 boolMatrix btmp (nr, nc); | |
| 292 for (octave_idx_type j = 0; j < nc; j++) | |
| 293 for (octave_idx_type i = 0; i < nr; i++) | |
| 294 btmp.elem (i,j) = (tmp.elem (i, j) != 0.); | |
| 295 | |
| 296 matrix = btmp; | |
| 297 } | |
| 298 else | |
| 5099 | 299 { |
| 300 error ("load: failed to load matrix constant"); | |
| 301 success = false; | |
| 302 } | |
| 303 } | |
| 304 else if (nr == 0 || nc == 0) | |
| 305 matrix = boolMatrix (nr, nc); | |
| 306 else | |
| 307 panic_impossible (); | |
| 308 } | |
| 309 else | |
| 310 { | |
| 311 error ("load: failed to extract number of rows and columns"); | |
| 312 success = false; | |
| 313 } | |
| 4687 | 314 } |
| 5099 | 315 else |
| 316 panic_impossible (); | |
| 317 } | |
| 318 else | |
| 319 { | |
| 320 error ("load: failed to extract number of rows and columns"); | |
| 321 success = false; | |
| 4687 | 322 } |
| 323 | |
| 324 return success; | |
| 325 } | |
| 326 | |
| 327 bool | |
| 328 octave_bool_matrix::save_binary (std::ostream& os, bool& /* save_as_floats */) | |
| 329 { | |
| 330 | |
| 331 dim_vector d = dims (); | |
| 332 if (d.length() < 1) | |
| 333 return false; | |
| 334 | |
| 335 // Use negative value for ndims to differentiate with old format!! | |
| 5828 | 336 int32_t tmp = - d.length(); |
| 5760 | 337 os.write (reinterpret_cast<char *> (&tmp), 4); |
| 5275 | 338 for (int i = 0; i < d.length (); i++) |
| 4687 | 339 { |
| 340 tmp = d(i); | |
| 5760 | 341 os.write (reinterpret_cast<char *> (&tmp), 4); |
| 4687 | 342 } |
| 343 | |
| 344 boolNDArray m = bool_array_value (); | |
| 345 bool *mtmp = m.fortran_vec (); | |
| 5275 | 346 octave_idx_type nel = m.nelem (); |
| 4687 | 347 OCTAVE_LOCAL_BUFFER (char, htmp, nel); |
| 348 | |
| 5275 | 349 for (octave_idx_type i = 0; i < nel; i++) |
| 4687 | 350 htmp[i] = (mtmp[i] ? 1 : 0); |
| 351 | |
| 352 os.write (htmp, nel); | |
| 353 | |
| 354 return true; | |
| 355 } | |
| 356 | |
| 357 bool | |
| 358 octave_bool_matrix::load_binary (std::istream& is, bool swap, | |
| 359 oct_mach_info::float_format /* fmt */) | |
| 360 { | |
| 5828 | 361 int32_t mdims; |
| 5760 | 362 if (! is.read (reinterpret_cast<char *> (&mdims), 4)) |
| 4687 | 363 return false; |
| 364 if (swap) | |
| 4944 | 365 swap_bytes<4> (&mdims); |
| 4687 | 366 if (mdims >= 0) |
| 367 return false; | |
| 368 | |
| 369 // mdims is negative for consistency with other matrices, where it is | |
| 370 // negative to allow the positive value to be used for rows/cols for | |
| 371 // backward compatibility | |
| 372 mdims = - mdims; | |
| 5828 | 373 int32_t di; |
| 4687 | 374 dim_vector dv; |
| 375 dv.resize (mdims); | |
| 376 | |
| 377 for (int i = 0; i < mdims; i++) | |
| 378 { | |
| 5760 | 379 if (! is.read (reinterpret_cast<char *> (&di), 4)) |
| 4687 | 380 return false; |
| 381 if (swap) | |
| 4944 | 382 swap_bytes<4> (&di); |
| 4687 | 383 dv(i) = di; |
| 384 } | |
| 385 | |
| 5157 | 386 // Convert an array with a single dimension to be a row vector. |
| 387 // Octave should never write files like this, other software | |
| 388 // might. | |
| 389 | |
| 390 if (mdims == 1) | |
| 391 { | |
| 392 mdims = 2; | |
| 393 dv.resize (mdims); | |
| 394 dv(1) = dv(0); | |
| 395 dv(0) = 1; | |
| 396 } | |
| 397 | |
| 5275 | 398 octave_idx_type nel = dv.numel (); |
| 4687 | 399 OCTAVE_LOCAL_BUFFER (char, htmp, nel); |
| 400 if (! is.read (htmp, nel)) | |
| 401 return false; | |
| 402 boolNDArray m(dv); | |
| 403 bool *mtmp = m.fortran_vec (); | |
| 5275 | 404 for (octave_idx_type i = 0; i < nel; i++) |
| 4687 | 405 mtmp[i] = (htmp[i] ? 1 : 0); |
| 406 matrix = m; | |
| 407 | |
| 408 return true; | |
| 409 } | |
| 410 | |
| 411 #if defined (HAVE_HDF5) | |
| 4944 | 412 |
| 4687 | 413 bool |
| 414 octave_bool_matrix::save_hdf5 (hid_t loc_id, const char *name, | |
| 415 bool /* save_as_floats */) | |
| 416 { | |
| 4837 | 417 dim_vector dv = dims (); |
| 418 int empty = save_hdf5_empty (loc_id, name, dv); | |
| 419 if (empty) | |
| 4805 | 420 return (empty > 0); |
| 421 | |
| 4837 | 422 int rank = dv.length (); |
| 4687 | 423 hid_t space_hid = -1, data_hid = -1; |
| 424 bool retval = true; | |
| 425 boolNDArray m = bool_array_value (); | |
| 426 | |
| 4805 | 427 OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank); |
| 428 | |
| 4687 | 429 // Octave uses column-major, while HDF5 uses row-major ordering |
| 4805 | 430 for (int i = 0; i < rank; i++) |
| 4837 | 431 hdims[i] = dv (rank-i-1); |
| 4687 | 432 |
| 4815 | 433 space_hid = H5Screate_simple (rank, hdims, 0); |
| 4687 | 434 if (space_hid < 0) return false; |
| 435 | |
| 436 data_hid = H5Dcreate (loc_id, name, H5T_NATIVE_HBOOL, space_hid, | |
| 437 H5P_DEFAULT); | |
| 438 if (data_hid < 0) | |
| 439 { | |
| 440 H5Sclose (space_hid); | |
| 441 return false; | |
| 442 } | |
| 443 | |
| 5275 | 444 octave_idx_type nel = m.nelem (); |
| 4687 | 445 bool *mtmp = m.fortran_vec (); |
| 6276 | 446 OCTAVE_LOCAL_BUFFER (hbool_t, htmp, nel); |
| 4687 | 447 |
| 5275 | 448 for (octave_idx_type i = 0; i < nel; i++) |
| 4687 | 449 htmp[i] = mtmp[i]; |
| 450 | |
| 451 retval = H5Dwrite (data_hid, H5T_NATIVE_HBOOL, H5S_ALL, H5S_ALL, | |
| 4815 | 452 H5P_DEFAULT, htmp) >= 0; |
| 4687 | 453 |
| 454 H5Dclose (data_hid); | |
| 455 H5Sclose (space_hid); | |
| 4837 | 456 |
| 4687 | 457 return retval; |
| 458 } | |
| 459 | |
| 460 bool | |
| 461 octave_bool_matrix::load_hdf5 (hid_t loc_id, const char *name, | |
| 462 bool /* have_h5giterate_bug */) | |
| 463 { | |
| 4837 | 464 bool retval = false; |
| 465 | |
| 4805 | 466 dim_vector dv; |
| 467 int empty = load_hdf5_empty (loc_id, name, dv); | |
| 468 if (empty > 0) | |
| 469 matrix.resize(dv); | |
| 4837 | 470 if (empty) |
| 471 return (empty > 0); | |
| 4805 | 472 |
| 4687 | 473 hid_t data_hid = H5Dopen (loc_id, name); |
| 474 hid_t space_id = H5Dget_space (data_hid); | |
| 475 | |
| 476 hsize_t rank = H5Sget_simple_extent_ndims (space_id); | |
| 477 | |
| 478 if (rank < 1) | |
| 479 { | |
| 480 H5Dclose (data_hid); | |
| 481 return false; | |
| 482 } | |
| 483 | |
| 484 OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank); | |
| 485 OCTAVE_LOCAL_BUFFER (hsize_t, maxdims, rank); | |
| 486 | |
| 487 H5Sget_simple_extent_dims (space_id, hdims, maxdims); | |
| 488 | |
| 489 // Octave uses column-major, while HDF5 uses row-major ordering | |
| 490 if (rank == 1) | |
| 491 { | |
| 492 dv.resize (2); | |
| 493 dv(0) = 1; | |
| 494 dv(1) = hdims[0]; | |
| 495 } | |
| 496 else | |
| 497 { | |
| 498 dv.resize (rank); | |
| 4815 | 499 for (hsize_t i = 0, j = rank - 1; i < rank; i++, j--) |
| 4687 | 500 dv(j) = hdims[i]; |
| 501 } | |
| 502 | |
| 5275 | 503 octave_idx_type nel = dv.numel (); |
| 6276 | 504 OCTAVE_LOCAL_BUFFER (hbool_t, htmp, nel); |
| 6718 | 505 if (H5Dread (data_hid, H5T_NATIVE_HBOOL, H5S_ALL, H5S_ALL, H5P_DEFAULT, htmp) >= 0) |
| 4687 | 506 { |
| 507 retval = true; | |
| 508 | |
| 509 boolNDArray btmp (dv); | |
| 5275 | 510 for (octave_idx_type i = 0; i < nel; i++) |
| 4687 | 511 btmp.elem (i) = htmp[i]; |
| 512 | |
| 513 matrix = btmp; | |
| 514 } | |
| 515 | |
| 516 H5Dclose (data_hid); | |
| 4837 | 517 |
| 4687 | 518 return retval; |
| 519 } | |
| 4944 | 520 |
| 4687 | 521 #endif |
| 522 | |
| 5900 | 523 mxArray * |
| 524 octave_bool_matrix::as_mxArray (void) const | |
| 525 { | |
| 526 mxArray *retval = new mxArray (mxLOGICAL_CLASS, dims (), mxREAL); | |
| 527 | |
| 528 bool *pr = static_cast<bool *> (retval->get_data ()); | |
| 529 | |
| 6686 | 530 mwSize nel = numel (); |
| 5900 | 531 |
| 532 const bool *p = matrix.data (); | |
| 533 | |
| 6686 | 534 for (mwIndex i = 0; i < nel; i++) |
| 5900 | 535 pr[i] = p[i]; |
| 536 | |
| 537 return retval; | |
| 538 } | |
| 539 | |
|
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540 DEFUN (logical, args, , |
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541 "-*- texinfo -*-\n\ |
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542 @deftypefn {Built-in Function} {} logical (@var{x})\n\ |
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543 Convert @var{x} to logical type.\n\ |
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544 @seealso{double, single, char}\n\ |
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545 @end deftypefn") |
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546 { |
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547 octave_value retval; |
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548 |
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549 if (args.length () == 1) |
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550 { |
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551 octave_value arg = args(0); |
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552 if (arg.is_bool_type ()) |
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553 retval = arg; |
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554 else if (arg.is_numeric_type ()) |
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555 { |
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556 if (arg.is_sparse_type ()) |
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557 retval = arg.sparse_bool_matrix_value (); |
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558 else if (arg.is_scalar_type ()) |
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559 retval = arg.bool_value (); |
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560 else |
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561 retval = arg.bool_array_value (); |
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562 } |
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563 else |
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564 gripe_wrong_type_arg ("logical", arg); |
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565 } |
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566 else |
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567 print_usage (); |
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568 |
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569 return retval; |
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570 } |
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571 |
| 2871 | 572 /* |
| 573 ;;; Local Variables: *** | |
| 574 ;;; mode: C++ *** | |
| 575 ;;; End: *** | |
| 576 */ |