Mercurial > hg > octave-nkf
annotate src/ov-bool-mat.cc @ 7789:82be108cc558
First attempt at single precision tyeps
* * *
corrections to qrupdate single precision routines
* * *
prefer demotion to single over promotion to double
* * *
Add single precision support to log2 function
* * *
Trivial PROJECT file update
* * *
Cache optimized hermitian/transpose methods
* * *
Add tests for tranpose/hermitian and ChangeLog entry for new transpose code
| author | David Bateman <dbateman@free.fr> |
|---|---|
| date | Sun, 27 Apr 2008 22:34:17 +0200 |
| parents | a1dbe9d80eee |
| children | c777f3ce02d8 |
| 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 | |
| 5759 | 65 octave_base_value::type_conv_fcn |
| 2871 | 66 octave_bool_matrix::numeric_conversion_function (void) const |
| 67 { | |
| 68 return default_numeric_conversion_function; | |
| 69 } | |
| 70 | |
| 5759 | 71 octave_base_value * |
| 2871 | 72 octave_bool_matrix::try_narrowing_conversion (void) |
| 73 { | |
| 5759 | 74 octave_base_value *retval = 0; |
| 2871 | 75 |
| 4513 | 76 if (matrix.ndims () == 2) |
| 77 { | |
| 78 boolMatrix bm = matrix.matrix_value (); | |
| 2871 | 79 |
| 5275 | 80 octave_idx_type nr = bm.rows (); |
| 81 octave_idx_type nc = bm.cols (); | |
| 4513 | 82 |
| 83 if (nr == 1 && nc == 1) | |
| 84 retval = new octave_bool (bm (0, 0)); | |
| 85 } | |
| 2871 | 86 |
| 87 return retval; | |
| 88 } | |
| 89 | |
| 90 bool | |
| 91 octave_bool_matrix::valid_as_scalar_index (void) const | |
| 92 { | |
| 5775 | 93 // FIXME |
| 2871 | 94 return false; |
| 95 } | |
| 96 | |
| 97 double | |
| 98 octave_bool_matrix::double_value (bool) const | |
| 99 { | |
| 4102 | 100 double retval = lo_ieee_nan_value (); |
| 2871 | 101 |
| 4455 | 102 if (rows () > 0 && columns () > 0) |
| 103 { | |
| 5781 | 104 gripe_implicit_conversion ("Octave:array-as-scalar", |
| 105 "bool matrix", "real scalar"); | |
| 4455 | 106 |
| 107 retval = matrix (0, 0); | |
| 108 } | |
| 2871 | 109 else |
| 110 gripe_invalid_conversion ("bool matrix", "real scalar"); | |
| 111 | |
| 112 return retval; | |
| 113 } | |
| 114 | |
|
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115 float |
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116 octave_bool_matrix::float_value (bool) const |
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117 { |
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118 float retval = lo_ieee_float_nan_value (); |
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119 |
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120 if (rows () > 0 && columns () > 0) |
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121 { |
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122 gripe_implicit_conversion ("Octave:array-as-scalar", |
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123 "bool matrix", "real scalar"); |
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124 |
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125 retval = matrix (0, 0); |
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126 } |
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127 else |
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128 gripe_invalid_conversion ("bool matrix", "real scalar"); |
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129 |
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130 return retval; |
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131 } |
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132 |
| 2871 | 133 Complex |
| 134 octave_bool_matrix::complex_value (bool) const | |
| 135 { | |
| 4102 | 136 double tmp = lo_ieee_nan_value (); |
| 137 | |
| 138 Complex retval (tmp, tmp); | |
| 2871 | 139 |
| 4455 | 140 if (rows () > 0 && columns () > 0) |
| 141 { | |
| 5781 | 142 gripe_implicit_conversion ("Octave:array-as-scalar", |
| 143 "bool matrix", "complex scalar"); | |
| 4455 | 144 |
| 145 retval = matrix (0, 0); | |
| 146 } | |
| 2871 | 147 else |
| 148 gripe_invalid_conversion ("bool matrix", "complex scalar"); | |
| 149 | |
| 150 return retval; | |
| 151 } | |
| 152 | |
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153 FloatComplex |
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154 octave_bool_matrix::float_complex_value (bool) const |
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155 { |
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156 float tmp = lo_ieee_float_nan_value (); |
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157 |
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158 FloatComplex retval (tmp, tmp); |
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159 |
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160 if (rows () > 0 && columns () > 0) |
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161 { |
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162 gripe_implicit_conversion ("Octave:array-as-scalar", |
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163 "bool matrix", "complex scalar"); |
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164 |
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165 retval = matrix (0, 0); |
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166 } |
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167 else |
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168 gripe_invalid_conversion ("bool matrix", "complex scalar"); |
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169 |
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170 return retval; |
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171 } |
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172 |
| 4457 | 173 octave_value |
| 5279 | 174 octave_bool_matrix::convert_to_str_internal (bool pad, bool force, |
| 175 char type) const | |
| 4457 | 176 { |
| 4844 | 177 octave_value tmp = octave_value (array_value ()); |
| 5279 | 178 return tmp.convert_to_str (pad, force, type); |
| 4457 | 179 } |
| 180 | |
| 4643 | 181 void |
| 182 octave_bool_matrix::print_raw (std::ostream& os, | |
| 183 bool pr_as_read_syntax) const | |
| 184 { | |
| 185 octave_print_internal (os, matrix, pr_as_read_syntax, | |
| 186 current_print_indent_level ()); | |
| 187 } | |
| 188 | |
| 4687 | 189 bool |
| 6974 | 190 octave_bool_matrix::save_ascii (std::ostream& os) |
| 4687 | 191 { |
| 192 dim_vector d = dims (); | |
| 193 if (d.length () > 2) | |
| 194 { | |
| 195 NDArray tmp = array_value (); | |
| 196 os << "# ndims: " << d.length () << "\n"; | |
| 197 | |
| 5275 | 198 for (int i = 0; i < d.length (); i++) |
| 4687 | 199 os << " " << d (i); |
| 200 | |
| 201 os << "\n" << tmp; | |
| 202 } | |
| 203 else | |
| 204 { | |
| 205 // Keep this case, rather than use generic code above for backward | |
| 206 // compatiability. Makes load_ascii much more complex!! | |
| 207 os << "# rows: " << rows () << "\n" | |
| 208 << "# columns: " << columns () << "\n"; | |
| 209 | |
| 210 Matrix tmp = matrix_value (); | |
| 211 | |
| 212 os << tmp; | |
| 213 } | |
| 214 | |
| 215 return true; | |
| 216 } | |
| 217 | |
| 218 bool | |
| 219 octave_bool_matrix::load_ascii (std::istream& is) | |
| 220 { | |
| 221 bool success = true; | |
| 222 | |
| 5099 | 223 string_vector keywords (2); |
| 4687 | 224 |
| 5099 | 225 keywords[0] = "ndims"; |
| 226 keywords[1] = "rows"; | |
| 4687 | 227 |
| 5099 | 228 std::string kw; |
| 5275 | 229 octave_idx_type val = 0; |
| 4687 | 230 |
| 5099 | 231 if (extract_keyword (is, keywords, kw, val, true)) |
| 4687 | 232 { |
| 5099 | 233 if (kw == "ndims") |
| 234 { | |
| 5275 | 235 int mdims = static_cast<int> (val); |
| 4687 | 236 |
| 5099 | 237 if (mdims >= 0) |
| 4687 | 238 { |
| 5099 | 239 dim_vector dv; |
| 240 dv.resize (mdims); | |
| 241 | |
| 242 for (int i = 0; i < mdims; i++) | |
| 243 is >> dv(i); | |
| 244 | |
| 6717 | 245 if (is) |
| 246 { | |
| 247 boolNDArray btmp (dv); | |
| 248 | |
| 249 if (btmp.is_empty ()) | |
| 250 matrix = btmp; | |
| 251 else | |
| 252 { | |
| 253 NDArray tmp(dv); | |
| 254 is >> tmp; | |
| 5099 | 255 |
| 6717 | 256 if (is) |
| 257 { | |
| 258 for (octave_idx_type i = 0; i < btmp.nelem (); i++) | |
| 259 btmp.elem (i) = (tmp.elem (i) != 0.); | |
| 260 | |
| 261 matrix = btmp; | |
| 262 } | |
| 263 else | |
| 264 { | |
| 265 error ("load: failed to load matrix constant"); | |
| 266 success = false; | |
| 267 } | |
| 268 } | |
| 269 } | |
| 270 else | |
| 4687 | 271 { |
| 6717 | 272 error ("load: failed to extract dimensions"); |
| 4687 | 273 success = false; |
| 274 } | |
| 275 } | |
| 276 else | |
| 5099 | 277 { |
| 6717 | 278 error ("load: failed to extract number of dimensions"); |
| 5099 | 279 success = false; |
| 280 } | |
| 4687 | 281 } |
| 5099 | 282 else if (kw == "rows") |
| 4687 | 283 { |
| 5275 | 284 octave_idx_type nr = val; |
| 285 octave_idx_type nc = 0; | |
| 5099 | 286 |
| 287 if (nr >= 0 && extract_keyword (is, "columns", nc) && nc >= 0) | |
| 288 { | |
| 289 if (nr > 0 && nc > 0) | |
| 290 { | |
| 291 Matrix tmp (nr, nc); | |
| 292 is >> tmp; | |
| 6717 | 293 if (is) |
| 294 { | |
| 295 boolMatrix btmp (nr, nc); | |
| 296 for (octave_idx_type j = 0; j < nc; j++) | |
| 297 for (octave_idx_type i = 0; i < nr; i++) | |
| 298 btmp.elem (i,j) = (tmp.elem (i, j) != 0.); | |
| 299 | |
| 300 matrix = btmp; | |
| 301 } | |
| 302 else | |
| 5099 | 303 { |
| 304 error ("load: failed to load matrix constant"); | |
| 305 success = false; | |
| 306 } | |
| 307 } | |
| 308 else if (nr == 0 || nc == 0) | |
| 309 matrix = boolMatrix (nr, nc); | |
| 310 else | |
| 311 panic_impossible (); | |
| 312 } | |
| 313 else | |
| 314 { | |
| 315 error ("load: failed to extract number of rows and columns"); | |
| 316 success = false; | |
| 317 } | |
| 4687 | 318 } |
| 5099 | 319 else |
| 320 panic_impossible (); | |
| 321 } | |
| 322 else | |
| 323 { | |
| 324 error ("load: failed to extract number of rows and columns"); | |
| 325 success = false; | |
| 4687 | 326 } |
| 327 | |
| 328 return success; | |
| 329 } | |
| 330 | |
| 331 bool | |
| 332 octave_bool_matrix::save_binary (std::ostream& os, bool& /* save_as_floats */) | |
| 333 { | |
| 334 | |
| 335 dim_vector d = dims (); | |
| 336 if (d.length() < 1) | |
| 337 return false; | |
| 338 | |
| 339 // Use negative value for ndims to differentiate with old format!! | |
| 5828 | 340 int32_t tmp = - d.length(); |
| 5760 | 341 os.write (reinterpret_cast<char *> (&tmp), 4); |
| 5275 | 342 for (int i = 0; i < d.length (); i++) |
| 4687 | 343 { |
| 344 tmp = d(i); | |
| 5760 | 345 os.write (reinterpret_cast<char *> (&tmp), 4); |
| 4687 | 346 } |
| 347 | |
| 348 boolNDArray m = bool_array_value (); | |
| 349 bool *mtmp = m.fortran_vec (); | |
| 5275 | 350 octave_idx_type nel = m.nelem (); |
| 4687 | 351 OCTAVE_LOCAL_BUFFER (char, htmp, nel); |
| 352 | |
| 5275 | 353 for (octave_idx_type i = 0; i < nel; i++) |
| 4687 | 354 htmp[i] = (mtmp[i] ? 1 : 0); |
| 355 | |
| 356 os.write (htmp, nel); | |
| 357 | |
| 358 return true; | |
| 359 } | |
| 360 | |
| 361 bool | |
| 362 octave_bool_matrix::load_binary (std::istream& is, bool swap, | |
| 363 oct_mach_info::float_format /* fmt */) | |
| 364 { | |
| 5828 | 365 int32_t mdims; |
| 5760 | 366 if (! is.read (reinterpret_cast<char *> (&mdims), 4)) |
| 4687 | 367 return false; |
| 368 if (swap) | |
| 4944 | 369 swap_bytes<4> (&mdims); |
| 4687 | 370 if (mdims >= 0) |
| 371 return false; | |
| 372 | |
| 373 // mdims is negative for consistency with other matrices, where it is | |
| 374 // negative to allow the positive value to be used for rows/cols for | |
| 375 // backward compatibility | |
| 376 mdims = - mdims; | |
| 5828 | 377 int32_t di; |
| 4687 | 378 dim_vector dv; |
| 379 dv.resize (mdims); | |
| 380 | |
| 381 for (int i = 0; i < mdims; i++) | |
| 382 { | |
| 5760 | 383 if (! is.read (reinterpret_cast<char *> (&di), 4)) |
| 4687 | 384 return false; |
| 385 if (swap) | |
| 4944 | 386 swap_bytes<4> (&di); |
| 4687 | 387 dv(i) = di; |
| 388 } | |
| 389 | |
| 5157 | 390 // Convert an array with a single dimension to be a row vector. |
| 391 // Octave should never write files like this, other software | |
| 392 // might. | |
| 393 | |
| 394 if (mdims == 1) | |
| 395 { | |
| 396 mdims = 2; | |
| 397 dv.resize (mdims); | |
| 398 dv(1) = dv(0); | |
| 399 dv(0) = 1; | |
| 400 } | |
| 401 | |
| 5275 | 402 octave_idx_type nel = dv.numel (); |
| 4687 | 403 OCTAVE_LOCAL_BUFFER (char, htmp, nel); |
| 404 if (! is.read (htmp, nel)) | |
| 405 return false; | |
| 406 boolNDArray m(dv); | |
| 407 bool *mtmp = m.fortran_vec (); | |
| 5275 | 408 for (octave_idx_type i = 0; i < nel; i++) |
| 4687 | 409 mtmp[i] = (htmp[i] ? 1 : 0); |
| 410 matrix = m; | |
| 411 | |
| 412 return true; | |
| 413 } | |
| 414 | |
| 415 #if defined (HAVE_HDF5) | |
| 4944 | 416 |
| 4687 | 417 bool |
| 418 octave_bool_matrix::save_hdf5 (hid_t loc_id, const char *name, | |
| 419 bool /* save_as_floats */) | |
| 420 { | |
| 4837 | 421 dim_vector dv = dims (); |
| 422 int empty = save_hdf5_empty (loc_id, name, dv); | |
| 423 if (empty) | |
| 4805 | 424 return (empty > 0); |
| 425 | |
| 4837 | 426 int rank = dv.length (); |
| 4687 | 427 hid_t space_hid = -1, data_hid = -1; |
| 428 bool retval = true; | |
| 429 boolNDArray m = bool_array_value (); | |
| 430 | |
| 4805 | 431 OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank); |
| 432 | |
| 4687 | 433 // Octave uses column-major, while HDF5 uses row-major ordering |
| 4805 | 434 for (int i = 0; i < rank; i++) |
| 4837 | 435 hdims[i] = dv (rank-i-1); |
| 4687 | 436 |
| 4815 | 437 space_hid = H5Screate_simple (rank, hdims, 0); |
| 4687 | 438 if (space_hid < 0) return false; |
| 439 | |
| 440 data_hid = H5Dcreate (loc_id, name, H5T_NATIVE_HBOOL, space_hid, | |
| 441 H5P_DEFAULT); | |
| 442 if (data_hid < 0) | |
| 443 { | |
| 444 H5Sclose (space_hid); | |
| 445 return false; | |
| 446 } | |
| 447 | |
| 5275 | 448 octave_idx_type nel = m.nelem (); |
| 4687 | 449 bool *mtmp = m.fortran_vec (); |
| 6276 | 450 OCTAVE_LOCAL_BUFFER (hbool_t, htmp, nel); |
| 4687 | 451 |
| 5275 | 452 for (octave_idx_type i = 0; i < nel; i++) |
| 4687 | 453 htmp[i] = mtmp[i]; |
| 454 | |
| 455 retval = H5Dwrite (data_hid, H5T_NATIVE_HBOOL, H5S_ALL, H5S_ALL, | |
| 4815 | 456 H5P_DEFAULT, htmp) >= 0; |
| 4687 | 457 |
| 458 H5Dclose (data_hid); | |
| 459 H5Sclose (space_hid); | |
| 4837 | 460 |
| 4687 | 461 return retval; |
| 462 } | |
| 463 | |
| 464 bool | |
| 465 octave_bool_matrix::load_hdf5 (hid_t loc_id, const char *name, | |
| 466 bool /* have_h5giterate_bug */) | |
| 467 { | |
| 4837 | 468 bool retval = false; |
| 469 | |
| 4805 | 470 dim_vector dv; |
| 471 int empty = load_hdf5_empty (loc_id, name, dv); | |
| 472 if (empty > 0) | |
| 473 matrix.resize(dv); | |
| 4837 | 474 if (empty) |
| 475 return (empty > 0); | |
| 4805 | 476 |
| 4687 | 477 hid_t data_hid = H5Dopen (loc_id, name); |
| 478 hid_t space_id = H5Dget_space (data_hid); | |
| 479 | |
| 480 hsize_t rank = H5Sget_simple_extent_ndims (space_id); | |
| 481 | |
| 482 if (rank < 1) | |
| 483 { | |
| 484 H5Dclose (data_hid); | |
| 485 return false; | |
| 486 } | |
| 487 | |
| 488 OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank); | |
| 489 OCTAVE_LOCAL_BUFFER (hsize_t, maxdims, rank); | |
| 490 | |
| 491 H5Sget_simple_extent_dims (space_id, hdims, maxdims); | |
| 492 | |
| 493 // Octave uses column-major, while HDF5 uses row-major ordering | |
| 494 if (rank == 1) | |
| 495 { | |
| 496 dv.resize (2); | |
| 497 dv(0) = 1; | |
| 498 dv(1) = hdims[0]; | |
| 499 } | |
| 500 else | |
| 501 { | |
| 502 dv.resize (rank); | |
| 4815 | 503 for (hsize_t i = 0, j = rank - 1; i < rank; i++, j--) |
| 4687 | 504 dv(j) = hdims[i]; |
| 505 } | |
| 506 | |
| 5275 | 507 octave_idx_type nel = dv.numel (); |
| 6276 | 508 OCTAVE_LOCAL_BUFFER (hbool_t, htmp, nel); |
| 6718 | 509 if (H5Dread (data_hid, H5T_NATIVE_HBOOL, H5S_ALL, H5S_ALL, H5P_DEFAULT, htmp) >= 0) |
| 4687 | 510 { |
| 511 retval = true; | |
| 512 | |
| 513 boolNDArray btmp (dv); | |
| 5275 | 514 for (octave_idx_type i = 0; i < nel; i++) |
| 4687 | 515 btmp.elem (i) = htmp[i]; |
| 516 | |
| 517 matrix = btmp; | |
| 518 } | |
| 519 | |
| 520 H5Dclose (data_hid); | |
| 4837 | 521 |
| 4687 | 522 return retval; |
| 523 } | |
| 4944 | 524 |
| 4687 | 525 #endif |
| 526 | |
| 5900 | 527 mxArray * |
| 528 octave_bool_matrix::as_mxArray (void) const | |
| 529 { | |
| 530 mxArray *retval = new mxArray (mxLOGICAL_CLASS, dims (), mxREAL); | |
| 531 | |
| 532 bool *pr = static_cast<bool *> (retval->get_data ()); | |
| 533 | |
| 6686 | 534 mwSize nel = numel (); |
| 5900 | 535 |
| 536 const bool *p = matrix.data (); | |
| 537 | |
| 6686 | 538 for (mwIndex i = 0; i < nel; i++) |
| 5900 | 539 pr[i] = p[i]; |
| 540 | |
| 541 return retval; | |
| 542 } | |
| 543 | |
| 2871 | 544 /* |
| 545 ;;; Local Variables: *** | |
| 546 ;;; mode: C++ *** | |
| 547 ;;; End: *** | |
| 548 */ |