Mercurial > octave-nkf
annotate liboctave/dNDArray.cc @ 8377:25bc2d31e1bf
improve OCTAVE_LOCAL_BUFFER
| author | Jaroslav Hajek <highegg@gmail.com> |
|---|---|
| date | Wed, 29 Oct 2008 16:52:10 +0100 |
| parents | f8cab9eeb128 |
| children | a1ae2aae903e |
| rev | line source |
|---|---|
| 4513 | 1 // N-D Array manipulations. |
| 4511 | 2 /* |
| 3 | |
| 7017 | 4 Copyright (C) 1996, 1997, 2003, 2004, 2005, 2006, 2007 John W. Eaton |
| 4511 | 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. | |
| 4511 | 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/>. | |
| 4511 | 21 |
| 22 */ | |
| 23 | |
| 24 #ifdef HAVE_CONFIG_H | |
| 25 #include <config.h> | |
| 26 #endif | |
| 27 | |
| 4634 | 28 #include <cfloat> |
| 5164 | 29 |
| 4780 | 30 #include <vector> |
| 4634 | 31 |
| 4588 | 32 #include "Array-util.h" |
| 4513 | 33 #include "dNDArray.h" |
|
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34 #include "functor.h" |
| 4511 | 35 #include "mx-base.h" |
| 4773 | 36 #include "f77-fcn.h" |
| 4513 | 37 #include "lo-error.h" |
| 4511 | 38 #include "lo-ieee.h" |
| 4634 | 39 #include "lo-mappers.h" |
|
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40 #include "oct-locbuf.h" |
| 4511 | 41 |
| 4773 | 42 #if defined (HAVE_FFTW3) |
| 43 #include "oct-fftw.h" | |
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44 #endif |
| 4773 | 45 |
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46 NDArray::NDArray (const Array<octave_idx_type>& a, bool zero_based, |
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47 bool negative_to_nan) |
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48 { |
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49 const octave_idx_type *pa = a.fortran_vec (); |
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50 resize (a.dims ()); |
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51 double *ptmp = fortran_vec (); |
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52 if (negative_to_nan) |
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53 { |
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54 double nan_val = lo_ieee_nan_value (); |
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55 |
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56 if (zero_based) |
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57 for (octave_idx_type i = 0; i < a.numel (); i++) |
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58 { |
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59 double val = static_cast<double> |
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60 (pa[i] + static_cast<octave_idx_type> (1)); |
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61 if (val <= 0) |
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62 ptmp[i] = nan_val; |
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63 else |
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64 ptmp[i] = val; |
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65 } |
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66 else |
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67 for (octave_idx_type i = 0; i < a.numel (); i++) |
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68 { |
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69 double val = static_cast<double> (pa[i]); |
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70 if (val <= 0) |
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71 ptmp[i] = nan_val; |
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72 else |
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73 ptmp[i] = val; |
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74 } |
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75 } |
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76 else |
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77 { |
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78 if (zero_based) |
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79 for (octave_idx_type i = 0; i < a.numel (); i++) |
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80 ptmp[i] = static_cast<double> |
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81 (pa[i] + static_cast<octave_idx_type> (1)); |
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82 else |
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83 for (octave_idx_type i = 0; i < a.numel (); i++) |
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84 ptmp[i] = static_cast<double> (pa[i]); |
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85 } |
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86 } |
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87 |
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88 #if defined (HAVE_FFTW3) |
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89 |
| 4773 | 90 ComplexNDArray |
| 91 NDArray::fourier (int dim) const | |
| 92 { | |
| 93 dim_vector dv = dims (); | |
| 94 | |
| 95 if (dim > dv.length () || dim < 0) | |
| 96 return ComplexNDArray (); | |
| 97 | |
| 5275 | 98 octave_idx_type stride = 1; |
| 99 octave_idx_type n = dv(dim); | |
| 4773 | 100 |
| 101 for (int i = 0; i < dim; i++) | |
| 102 stride *= dv(i); | |
| 103 | |
| 5275 | 104 octave_idx_type howmany = numel () / dv (dim); |
| 4773 | 105 howmany = (stride == 1 ? howmany : (howmany > stride ? stride : howmany)); |
| 5275 | 106 octave_idx_type nloop = (stride == 1 ? 1 : numel () / dv (dim) / stride); |
| 107 octave_idx_type dist = (stride == 1 ? n : 1); | |
| 4773 | 108 |
| 109 const double *in (fortran_vec ()); | |
| 110 ComplexNDArray retval (dv); | |
| 111 Complex *out (retval.fortran_vec ()); | |
| 112 | |
| 113 // Need to be careful here about the distance between fft's | |
| 5275 | 114 for (octave_idx_type k = 0; k < nloop; k++) |
| 4773 | 115 octave_fftw::fft (in + k * stride * n, out + k * stride * n, |
| 116 n, howmany, stride, dist); | |
| 117 | |
| 118 return retval; | |
| 119 } | |
| 120 | |
| 121 ComplexNDArray | |
| 4816 | 122 NDArray::ifourier (int dim) const |
| 4773 | 123 { |
| 124 dim_vector dv = dims (); | |
| 125 | |
| 126 if (dim > dv.length () || dim < 0) | |
| 127 return ComplexNDArray (); | |
| 128 | |
| 5275 | 129 octave_idx_type stride = 1; |
| 130 octave_idx_type n = dv(dim); | |
| 4773 | 131 |
| 132 for (int i = 0; i < dim; i++) | |
| 133 stride *= dv(i); | |
| 134 | |
| 5275 | 135 octave_idx_type howmany = numel () / dv (dim); |
| 4773 | 136 howmany = (stride == 1 ? howmany : (howmany > stride ? stride : howmany)); |
| 5275 | 137 octave_idx_type nloop = (stride == 1 ? 1 : numel () / dv (dim) / stride); |
| 138 octave_idx_type dist = (stride == 1 ? n : 1); | |
| 4773 | 139 |
| 140 ComplexNDArray retval (*this); | |
| 141 Complex *out (retval.fortran_vec ()); | |
| 142 | |
| 143 // Need to be careful here about the distance between fft's | |
| 5275 | 144 for (octave_idx_type k = 0; k < nloop; k++) |
| 4773 | 145 octave_fftw::ifft (out + k * stride * n, out + k * stride * n, |
| 146 n, howmany, stride, dist); | |
| 147 | |
| 148 return retval; | |
| 149 } | |
| 150 | |
| 151 ComplexNDArray | |
| 152 NDArray::fourier2d (void) const | |
| 153 { | |
| 154 dim_vector dv = dims(); | |
| 155 if (dv.length () < 2) | |
| 156 return ComplexNDArray (); | |
| 157 | |
| 158 dim_vector dv2(dv(0), dv(1)); | |
| 159 const double *in = fortran_vec (); | |
| 160 ComplexNDArray retval (dv); | |
| 161 Complex *out = retval.fortran_vec (); | |
| 5275 | 162 octave_idx_type howmany = numel() / dv(0) / dv(1); |
| 163 octave_idx_type dist = dv(0) * dv(1); | |
| 4773 | 164 |
| 5275 | 165 for (octave_idx_type i=0; i < howmany; i++) |
| 4773 | 166 octave_fftw::fftNd (in + i*dist, out + i*dist, 2, dv2); |
| 167 | |
| 168 return retval; | |
| 169 } | |
| 170 | |
| 171 ComplexNDArray | |
| 172 NDArray::ifourier2d (void) const | |
| 173 { | |
| 174 dim_vector dv = dims(); | |
| 175 if (dv.length () < 2) | |
| 176 return ComplexNDArray (); | |
| 177 | |
| 178 dim_vector dv2(dv(0), dv(1)); | |
| 179 ComplexNDArray retval (*this); | |
| 180 Complex *out = retval.fortran_vec (); | |
| 5275 | 181 octave_idx_type howmany = numel() / dv(0) / dv(1); |
| 182 octave_idx_type dist = dv(0) * dv(1); | |
| 4773 | 183 |
| 5275 | 184 for (octave_idx_type i=0; i < howmany; i++) |
| 4773 | 185 octave_fftw::ifftNd (out + i*dist, out + i*dist, 2, dv2); |
| 186 | |
| 187 return retval; | |
| 188 } | |
| 189 | |
| 190 ComplexNDArray | |
| 191 NDArray::fourierNd (void) const | |
| 192 { | |
| 193 dim_vector dv = dims (); | |
| 194 int rank = dv.length (); | |
| 195 | |
| 196 const double *in (fortran_vec ()); | |
| 197 ComplexNDArray retval (dv); | |
| 198 Complex *out (retval.fortran_vec ()); | |
| 199 | |
| 200 octave_fftw::fftNd (in, out, rank, dv); | |
| 201 | |
| 202 return retval; | |
| 203 } | |
| 204 | |
| 205 ComplexNDArray | |
| 206 NDArray::ifourierNd (void) const | |
| 207 { | |
| 208 dim_vector dv = dims (); | |
| 209 int rank = dv.length (); | |
| 210 | |
| 211 ComplexNDArray tmp (*this); | |
| 212 Complex *in (tmp.fortran_vec ()); | |
| 213 ComplexNDArray retval (dv); | |
| 214 Complex *out (retval.fortran_vec ()); | |
| 215 | |
| 216 octave_fftw::ifftNd (in, out, rank, dv); | |
| 217 | |
| 218 return retval; | |
| 219 } | |
| 220 | |
| 221 #else | |
| 222 | |
| 223 extern "C" | |
| 224 { | |
| 225 // Note that the original complex fft routines were not written for | |
| 226 // double complex arguments. They have been modified by adding an | |
| 227 // implicit double precision (a-h,o-z) statement at the beginning of | |
| 228 // each subroutine. | |
| 229 | |
| 230 F77_RET_T | |
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231 F77_FUNC (zffti, ZFFTI) (const octave_idx_type&, Complex*); |
| 4773 | 232 |
| 233 F77_RET_T | |
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234 F77_FUNC (zfftf, ZFFTF) (const octave_idx_type&, Complex*, Complex*); |
| 4773 | 235 |
| 236 F77_RET_T | |
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237 F77_FUNC (zfftb, ZFFTB) (const octave_idx_type&, Complex*, Complex*); |
| 4773 | 238 } |
| 239 | |
| 240 ComplexNDArray | |
| 241 NDArray::fourier (int dim) const | |
| 242 { | |
| 243 dim_vector dv = dims (); | |
| 244 | |
| 245 if (dim > dv.length () || dim < 0) | |
| 246 return ComplexNDArray (); | |
| 247 | |
| 248 ComplexNDArray retval (dv); | |
| 5275 | 249 octave_idx_type npts = dv(dim); |
| 250 octave_idx_type nn = 4*npts+15; | |
| 4773 | 251 Array<Complex> wsave (nn); |
| 252 Complex *pwsave = wsave.fortran_vec (); | |
| 253 | |
| 254 OCTAVE_LOCAL_BUFFER (Complex, tmp, npts); | |
| 255 | |
| 5275 | 256 octave_idx_type stride = 1; |
| 4773 | 257 |
| 258 for (int i = 0; i < dim; i++) | |
| 259 stride *= dv(i); | |
| 260 | |
| 5275 | 261 octave_idx_type howmany = numel () / npts; |
| 4773 | 262 howmany = (stride == 1 ? howmany : (howmany > stride ? stride : howmany)); |
| 5275 | 263 octave_idx_type nloop = (stride == 1 ? 1 : numel () / npts / stride); |
| 264 octave_idx_type dist = (stride == 1 ? npts : 1); | |
| 4773 | 265 |
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266 F77_FUNC (zffti, ZFFTI) (npts, pwsave); |
| 4773 | 267 |
| 5275 | 268 for (octave_idx_type k = 0; k < nloop; k++) |
| 4773 | 269 { |
| 5275 | 270 for (octave_idx_type j = 0; j < howmany; j++) |
| 4773 | 271 { |
| 272 OCTAVE_QUIT; | |
| 273 | |
| 5275 | 274 for (octave_idx_type i = 0; i < npts; i++) |
| 4773 | 275 tmp[i] = elem((i + k*npts)*stride + j*dist); |
| 276 | |
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277 F77_FUNC (zfftf, ZFFTF) (npts, tmp, pwsave); |
| 4773 | 278 |
| 5275 | 279 for (octave_idx_type i = 0; i < npts; i++) |
| 4773 | 280 retval ((i + k*npts)*stride + j*dist) = tmp[i]; |
| 281 } | |
| 282 } | |
| 283 | |
| 284 return retval; | |
| 285 } | |
| 286 | |
| 287 ComplexNDArray | |
| 288 NDArray::ifourier (int dim) const | |
| 289 { | |
| 290 dim_vector dv = dims (); | |
| 291 | |
| 292 if (dim > dv.length () || dim < 0) | |
| 293 return ComplexNDArray (); | |
| 294 | |
| 295 ComplexNDArray retval (dv); | |
| 5275 | 296 octave_idx_type npts = dv(dim); |
| 297 octave_idx_type nn = 4*npts+15; | |
| 4773 | 298 Array<Complex> wsave (nn); |
| 299 Complex *pwsave = wsave.fortran_vec (); | |
| 300 | |
| 301 OCTAVE_LOCAL_BUFFER (Complex, tmp, npts); | |
| 302 | |
| 5275 | 303 octave_idx_type stride = 1; |
| 4773 | 304 |
| 305 for (int i = 0; i < dim; i++) | |
| 306 stride *= dv(i); | |
| 307 | |
| 5275 | 308 octave_idx_type howmany = numel () / npts; |
| 4773 | 309 howmany = (stride == 1 ? howmany : (howmany > stride ? stride : howmany)); |
| 5275 | 310 octave_idx_type nloop = (stride == 1 ? 1 : numel () / npts / stride); |
| 311 octave_idx_type dist = (stride == 1 ? npts : 1); | |
| 4773 | 312 |
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313 F77_FUNC (zffti, ZFFTI) (npts, pwsave); |
| 4773 | 314 |
| 5275 | 315 for (octave_idx_type k = 0; k < nloop; k++) |
| 4773 | 316 { |
| 5275 | 317 for (octave_idx_type j = 0; j < howmany; j++) |
| 4773 | 318 { |
| 319 OCTAVE_QUIT; | |
| 320 | |
| 5275 | 321 for (octave_idx_type i = 0; i < npts; i++) |
| 4773 | 322 tmp[i] = elem((i + k*npts)*stride + j*dist); |
| 323 | |
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324 F77_FUNC (zfftb, ZFFTB) (npts, tmp, pwsave); |
| 4773 | 325 |
| 5275 | 326 for (octave_idx_type i = 0; i < npts; i++) |
| 4773 | 327 retval ((i + k*npts)*stride + j*dist) = tmp[i] / |
| 328 static_cast<double> (npts); | |
| 329 } | |
| 330 } | |
| 331 | |
| 332 return retval; | |
| 333 } | |
| 334 | |
| 335 ComplexNDArray | |
| 336 NDArray::fourier2d (void) const | |
| 337 { | |
| 338 dim_vector dv = dims(); | |
| 339 dim_vector dv2 (dv(0), dv(1)); | |
| 340 int rank = 2; | |
| 341 ComplexNDArray retval (*this); | |
| 5275 | 342 octave_idx_type stride = 1; |
| 4773 | 343 |
| 344 for (int i = 0; i < rank; i++) | |
| 345 { | |
| 5275 | 346 octave_idx_type npts = dv2(i); |
| 347 octave_idx_type nn = 4*npts+15; | |
| 4773 | 348 Array<Complex> wsave (nn); |
| 349 Complex *pwsave = wsave.fortran_vec (); | |
| 350 Array<Complex> row (npts); | |
| 351 Complex *prow = row.fortran_vec (); | |
| 352 | |
| 5275 | 353 octave_idx_type howmany = numel () / npts; |
| 4773 | 354 howmany = (stride == 1 ? howmany : |
| 355 (howmany > stride ? stride : howmany)); | |
| 5275 | 356 octave_idx_type nloop = (stride == 1 ? 1 : numel () / npts / stride); |
| 357 octave_idx_type dist = (stride == 1 ? npts : 1); | |
| 4773 | 358 |
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359 F77_FUNC (zffti, ZFFTI) (npts, pwsave); |
| 4773 | 360 |
| 5275 | 361 for (octave_idx_type k = 0; k < nloop; k++) |
| 4773 | 362 { |
| 5275 | 363 for (octave_idx_type j = 0; j < howmany; j++) |
| 4773 | 364 { |
| 365 OCTAVE_QUIT; | |
| 366 | |
| 5275 | 367 for (octave_idx_type l = 0; l < npts; l++) |
| 4773 | 368 prow[l] = retval ((l + k*npts)*stride + j*dist); |
| 369 | |
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370 F77_FUNC (zfftf, ZFFTF) (npts, prow, pwsave); |
| 4773 | 371 |
| 5275 | 372 for (octave_idx_type l = 0; l < npts; l++) |
| 4773 | 373 retval ((l + k*npts)*stride + j*dist) = prow[l]; |
| 374 } | |
| 375 } | |
| 376 | |
| 377 stride *= dv2(i); | |
| 378 } | |
| 379 | |
| 380 return retval; | |
| 381 } | |
| 382 | |
| 383 ComplexNDArray | |
| 384 NDArray::ifourier2d (void) const | |
| 385 { | |
| 386 dim_vector dv = dims(); | |
| 387 dim_vector dv2 (dv(0), dv(1)); | |
| 388 int rank = 2; | |
| 389 ComplexNDArray retval (*this); | |
| 5275 | 390 octave_idx_type stride = 1; |
| 4773 | 391 |
| 392 for (int i = 0; i < rank; i++) | |
| 393 { | |
| 5275 | 394 octave_idx_type npts = dv2(i); |
| 395 octave_idx_type nn = 4*npts+15; | |
| 4773 | 396 Array<Complex> wsave (nn); |
| 397 Complex *pwsave = wsave.fortran_vec (); | |
| 398 Array<Complex> row (npts); | |
| 399 Complex *prow = row.fortran_vec (); | |
| 400 | |
| 5275 | 401 octave_idx_type howmany = numel () / npts; |
| 4773 | 402 howmany = (stride == 1 ? howmany : |
| 403 (howmany > stride ? stride : howmany)); | |
| 5275 | 404 octave_idx_type nloop = (stride == 1 ? 1 : numel () / npts / stride); |
| 405 octave_idx_type dist = (stride == 1 ? npts : 1); | |
| 4773 | 406 |
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407 F77_FUNC (zffti, ZFFTI) (npts, pwsave); |
| 4773 | 408 |
| 5275 | 409 for (octave_idx_type k = 0; k < nloop; k++) |
| 4773 | 410 { |
| 5275 | 411 for (octave_idx_type j = 0; j < howmany; j++) |
| 4773 | 412 { |
| 413 OCTAVE_QUIT; | |
| 414 | |
| 5275 | 415 for (octave_idx_type l = 0; l < npts; l++) |
| 4773 | 416 prow[l] = retval ((l + k*npts)*stride + j*dist); |
| 417 | |
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418 F77_FUNC (zfftb, ZFFTB) (npts, prow, pwsave); |
| 4773 | 419 |
| 5275 | 420 for (octave_idx_type l = 0; l < npts; l++) |
| 4773 | 421 retval ((l + k*npts)*stride + j*dist) = prow[l] / |
| 422 static_cast<double> (npts); | |
| 423 } | |
| 424 } | |
| 425 | |
| 426 stride *= dv2(i); | |
| 427 } | |
| 428 | |
| 429 return retval; | |
| 430 } | |
| 431 | |
| 432 ComplexNDArray | |
| 433 NDArray::fourierNd (void) const | |
| 434 { | |
| 435 dim_vector dv = dims (); | |
| 436 int rank = dv.length (); | |
| 437 ComplexNDArray retval (*this); | |
| 5275 | 438 octave_idx_type stride = 1; |
| 4773 | 439 |
| 440 for (int i = 0; i < rank; i++) | |
| 441 { | |
| 5275 | 442 octave_idx_type npts = dv(i); |
| 443 octave_idx_type nn = 4*npts+15; | |
| 4773 | 444 Array<Complex> wsave (nn); |
| 445 Complex *pwsave = wsave.fortran_vec (); | |
| 446 Array<Complex> row (npts); | |
| 447 Complex *prow = row.fortran_vec (); | |
| 448 | |
| 5275 | 449 octave_idx_type howmany = numel () / npts; |
| 4773 | 450 howmany = (stride == 1 ? howmany : |
| 451 (howmany > stride ? stride : howmany)); | |
| 5275 | 452 octave_idx_type nloop = (stride == 1 ? 1 : numel () / npts / stride); |
| 453 octave_idx_type dist = (stride == 1 ? npts : 1); | |
| 4773 | 454 |
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455 F77_FUNC (zffti, ZFFTI) (npts, pwsave); |
| 4773 | 456 |
| 5275 | 457 for (octave_idx_type k = 0; k < nloop; k++) |
| 4773 | 458 { |
| 5275 | 459 for (octave_idx_type j = 0; j < howmany; j++) |
| 4773 | 460 { |
| 461 OCTAVE_QUIT; | |
| 462 | |
| 5275 | 463 for (octave_idx_type l = 0; l < npts; l++) |
| 4773 | 464 prow[l] = retval ((l + k*npts)*stride + j*dist); |
| 465 | |
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466 F77_FUNC (zfftf, ZFFTF) (npts, prow, pwsave); |
| 4773 | 467 |
| 5275 | 468 for (octave_idx_type l = 0; l < npts; l++) |
| 4773 | 469 retval ((l + k*npts)*stride + j*dist) = prow[l]; |
| 470 } | |
| 471 } | |
| 472 | |
| 473 stride *= dv(i); | |
| 474 } | |
| 475 | |
| 476 return retval; | |
| 477 } | |
| 478 | |
| 479 ComplexNDArray | |
| 480 NDArray::ifourierNd (void) const | |
| 481 { | |
| 482 dim_vector dv = dims (); | |
| 483 int rank = dv.length (); | |
| 484 ComplexNDArray retval (*this); | |
| 5275 | 485 octave_idx_type stride = 1; |
| 4773 | 486 |
| 487 for (int i = 0; i < rank; i++) | |
| 488 { | |
| 5275 | 489 octave_idx_type npts = dv(i); |
| 490 octave_idx_type nn = 4*npts+15; | |
| 4773 | 491 Array<Complex> wsave (nn); |
| 492 Complex *pwsave = wsave.fortran_vec (); | |
| 493 Array<Complex> row (npts); | |
| 494 Complex *prow = row.fortran_vec (); | |
| 495 | |
| 5275 | 496 octave_idx_type howmany = numel () / npts; |
| 4773 | 497 howmany = (stride == 1 ? howmany : |
| 498 (howmany > stride ? stride : howmany)); | |
| 5275 | 499 octave_idx_type nloop = (stride == 1 ? 1 : numel () / npts / stride); |
| 500 octave_idx_type dist = (stride == 1 ? npts : 1); | |
| 4773 | 501 |
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502 F77_FUNC (zffti, ZFFTI) (npts, pwsave); |
| 4773 | 503 |
| 5275 | 504 for (octave_idx_type k = 0; k < nloop; k++) |
| 4773 | 505 { |
| 5275 | 506 for (octave_idx_type j = 0; j < howmany; j++) |
| 4773 | 507 { |
| 508 OCTAVE_QUIT; | |
| 509 | |
| 5275 | 510 for (octave_idx_type l = 0; l < npts; l++) |
| 4773 | 511 prow[l] = retval ((l + k*npts)*stride + j*dist); |
| 512 | |
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513 F77_FUNC (zfftb, ZFFTB) (npts, prow, pwsave); |
| 4773 | 514 |
| 5275 | 515 for (octave_idx_type l = 0; l < npts; l++) |
| 4773 | 516 retval ((l + k*npts)*stride + j*dist) = prow[l] / |
| 517 static_cast<double> (npts); | |
| 518 } | |
| 519 } | |
| 520 | |
| 521 stride *= dv(i); | |
| 522 } | |
| 523 | |
| 524 return retval; | |
| 525 } | |
| 526 | |
| 527 #endif | |
| 528 | |
| 4543 | 529 // unary operations |
| 530 | |
| 531 boolNDArray | |
| 532 NDArray::operator ! (void) const | |
| 533 { | |
| 534 boolNDArray b (dims ()); | |
| 535 | |
| 5275 | 536 for (octave_idx_type i = 0; i < length (); i++) |
| 4543 | 537 b.elem (i) = ! elem (i); |
| 538 | |
| 539 return b; | |
| 540 } | |
| 541 | |
| 4634 | 542 bool |
| 543 NDArray::any_element_is_negative (bool neg_zero) const | |
| 544 { | |
| 5275 | 545 octave_idx_type nel = nelem (); |
| 4634 | 546 |
| 547 if (neg_zero) | |
| 548 { | |
| 5275 | 549 for (octave_idx_type i = 0; i < nel; i++) |
| 4634 | 550 if (lo_ieee_signbit (elem (i))) |
| 551 return true; | |
| 552 } | |
| 553 else | |
| 554 { | |
| 5275 | 555 for (octave_idx_type i = 0; i < nel; i++) |
| 4634 | 556 if (elem (i) < 0) |
| 557 return true; | |
| 558 } | |
| 559 | |
| 560 return false; | |
| 561 } | |
| 562 | |
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563 bool |
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564 NDArray::any_element_is_nan (void) const |
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565 { |
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566 octave_idx_type nel = nelem (); |
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567 |
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568 for (octave_idx_type i = 0; i < nel; i++) |
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569 { |
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570 double val = elem (i); |
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571 if (xisnan (val)) |
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572 return true; |
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573 } |
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574 |
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575 return false; |
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576 } |
| 4634 | 577 |
| 578 bool | |
| 579 NDArray::any_element_is_inf_or_nan (void) const | |
| 580 { | |
| 5275 | 581 octave_idx_type nel = nelem (); |
| 4634 | 582 |
| 5275 | 583 for (octave_idx_type i = 0; i < nel; i++) |
| 4634 | 584 { |
| 585 double val = elem (i); | |
| 586 if (xisinf (val) || xisnan (val)) | |
| 587 return true; | |
| 588 } | |
| 589 | |
| 590 return false; | |
| 591 } | |
| 592 | |
| 593 bool | |
| 5943 | 594 NDArray::any_element_not_one_or_zero (void) const |
| 595 { | |
| 596 octave_idx_type nel = nelem (); | |
| 597 | |
| 598 for (octave_idx_type i = 0; i < nel; i++) | |
| 599 { | |
| 600 double val = elem (i); | |
| 601 if (val != 0 && val != 1) | |
| 602 return true; | |
| 603 } | |
| 604 | |
| 605 return false; | |
| 606 } | |
| 607 | |
| 608 bool | |
| 6989 | 609 NDArray::all_elements_are_zero (void) const |
| 610 { | |
| 611 octave_idx_type nel = nelem (); | |
| 612 | |
| 613 for (octave_idx_type i = 0; i < nel; i++) | |
| 614 if (elem (i) != 0) | |
| 615 return false; | |
| 616 | |
| 617 return true; | |
| 618 } | |
| 619 | |
| 620 bool | |
| 4634 | 621 NDArray::all_elements_are_int_or_inf_or_nan (void) const |
| 622 { | |
| 5275 | 623 octave_idx_type nel = nelem (); |
| 4634 | 624 |
| 5275 | 625 for (octave_idx_type i = 0; i < nel; i++) |
| 4634 | 626 { |
| 627 double val = elem (i); | |
| 628 if (xisnan (val) || D_NINT (val) == val) | |
| 629 continue; | |
| 630 else | |
| 631 return false; | |
| 632 } | |
| 633 | |
| 634 return true; | |
| 635 } | |
| 636 | |
| 637 // Return nonzero if any element of M is not an integer. Also extract | |
| 638 // the largest and smallest values and return them in MAX_VAL and MIN_VAL. | |
| 639 | |
| 640 bool | |
| 641 NDArray::all_integers (double& max_val, double& min_val) const | |
| 642 { | |
| 5275 | 643 octave_idx_type nel = nelem (); |
| 4634 | 644 |
| 645 if (nel > 0) | |
| 646 { | |
| 647 max_val = elem (0); | |
| 648 min_val = elem (0); | |
| 649 } | |
| 650 else | |
| 651 return false; | |
| 652 | |
| 5275 | 653 for (octave_idx_type i = 0; i < nel; i++) |
| 4634 | 654 { |
| 655 double val = elem (i); | |
| 656 | |
| 657 if (val > max_val) | |
| 658 max_val = val; | |
| 659 | |
| 660 if (val < min_val) | |
| 661 min_val = val; | |
| 662 | |
| 663 if (D_NINT (val) != val) | |
| 664 return false; | |
| 665 } | |
| 666 | |
| 667 return true; | |
| 668 } | |
| 669 | |
| 670 bool | |
| 671 NDArray::too_large_for_float (void) const | |
| 672 { | |
| 5275 | 673 octave_idx_type nel = nelem (); |
| 4634 | 674 |
| 5275 | 675 for (octave_idx_type i = 0; i < nel; i++) |
| 4634 | 676 { |
| 677 double val = elem (i); | |
| 678 | |
| 5389 | 679 if (! (xisnan (val) || xisinf (val)) |
| 5387 | 680 && fabs (val) > FLT_MAX) |
| 4634 | 681 return true; |
| 682 } | |
| 683 | |
| 684 return false; | |
| 685 } | |
| 686 | |
| 5775 | 687 // FIXME -- this is not quite the right thing. |
| 4513 | 688 |
| 4556 | 689 boolNDArray |
| 4513 | 690 NDArray::all (int dim) const |
| 691 { | |
| 4569 | 692 MX_ND_ANY_ALL_REDUCTION (MX_ND_ALL_EVAL (MX_ND_ALL_EXPR), true); |
| 4513 | 693 } |
| 694 | |
| 4556 | 695 boolNDArray |
| 4513 | 696 NDArray::any (int dim) const |
| 697 { | |
| 5110 | 698 MX_ND_ANY_ALL_REDUCTION |
| 699 (MX_ND_ANY_EVAL (elem (iter_idx) != 0 | |
| 700 && ! lo_ieee_isnan (elem (iter_idx))), false); | |
| 4569 | 701 } |
| 702 | |
| 4584 | 703 NDArray |
| 4569 | 704 NDArray::cumprod (int dim) const |
| 705 { | |
| 4584 | 706 MX_ND_CUMULATIVE_OP (NDArray, double, 1, *); |
| 4569 | 707 } |
| 708 | |
| 4584 | 709 NDArray |
| 4569 | 710 NDArray::cumsum (int dim) const |
| 711 { | |
| 4584 | 712 MX_ND_CUMULATIVE_OP (NDArray, double, 0, +); |
| 4513 | 713 } |
| 714 | |
| 4569 | 715 NDArray |
| 716 NDArray::prod (int dim) const | |
| 717 { | |
| 718 MX_ND_REAL_OP_REDUCTION (*= elem (iter_idx), 1); | |
| 719 } | |
| 720 | |
| 721 NDArray | |
| 722 NDArray::sumsq (int dim) const | |
| 723 { | |
| 724 MX_ND_REAL_OP_REDUCTION (+= std::pow (elem (iter_idx), 2), 0); | |
| 725 } | |
| 726 | |
| 727 NDArray | |
| 728 NDArray::sum (int dim) const | |
| 729 { | |
| 730 MX_ND_REAL_OP_REDUCTION (+= elem (iter_idx), 0); | |
| 731 } | |
| 732 | |
| 4844 | 733 NDArray |
| 734 NDArray::max (int dim) const | |
| 735 { | |
| 5275 | 736 ArrayN<octave_idx_type> dummy_idx; |
| 4844 | 737 return max (dummy_idx, dim); |
| 738 } | |
| 739 | |
| 740 NDArray | |
| 5275 | 741 NDArray::max (ArrayN<octave_idx_type>& idx_arg, int dim) const |
| 4844 | 742 { |
| 743 dim_vector dv = dims (); | |
| 744 dim_vector dr = dims (); | |
| 745 | |
| 746 if (dv.numel () == 0 || dim > dv.length () || dim < 0) | |
| 747 return NDArray (); | |
| 748 | |
| 749 dr(dim) = 1; | |
| 750 | |
| 751 NDArray result (dr); | |
| 752 idx_arg.resize (dr); | |
| 753 | |
| 5275 | 754 octave_idx_type x_stride = 1; |
| 755 octave_idx_type x_len = dv(dim); | |
| 4844 | 756 for (int i = 0; i < dim; i++) |
| 757 x_stride *= dv(i); | |
| 758 | |
| 5275 | 759 for (octave_idx_type i = 0; i < dr.numel (); i++) |
| 4844 | 760 { |
| 5275 | 761 octave_idx_type x_offset; |
| 4844 | 762 if (x_stride == 1) |
| 763 x_offset = i * x_len; | |
| 764 else | |
| 765 { | |
| 5275 | 766 octave_idx_type x_offset2 = 0; |
| 4844 | 767 x_offset = i; |
| 768 while (x_offset >= x_stride) | |
| 769 { | |
| 770 x_offset -= x_stride; | |
| 771 x_offset2++; | |
| 772 } | |
| 773 x_offset += x_offset2 * x_stride * x_len; | |
| 774 } | |
| 775 | |
| 5275 | 776 octave_idx_type idx_j; |
| 4844 | 777 |
| 778 double tmp_max = octave_NaN; | |
| 779 | |
| 780 for (idx_j = 0; idx_j < x_len; idx_j++) | |
| 781 { | |
| 782 tmp_max = elem (idx_j * x_stride + x_offset); | |
| 783 | |
| 5389 | 784 if (! xisnan (tmp_max)) |
| 4844 | 785 break; |
| 786 } | |
| 787 | |
| 5275 | 788 for (octave_idx_type j = idx_j+1; j < x_len; j++) |
| 4844 | 789 { |
| 790 double tmp = elem (j * x_stride + x_offset); | |
| 791 | |
| 5389 | 792 if (xisnan (tmp)) |
| 4844 | 793 continue; |
| 794 else if (tmp > tmp_max) | |
| 795 { | |
| 796 idx_j = j; | |
| 797 tmp_max = tmp; | |
| 798 } | |
| 799 } | |
| 800 | |
| 801 result.elem (i) = tmp_max; | |
| 5389 | 802 idx_arg.elem (i) = xisnan (tmp_max) ? 0 : idx_j; |
| 4844 | 803 } |
| 804 | |
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805 result.chop_trailing_singletons (); |
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806 idx_arg.chop_trailing_singletons (); |
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807 |
| 4844 | 808 return result; |
| 809 } | |
| 810 | |
| 811 NDArray | |
| 812 NDArray::min (int dim) const | |
| 813 { | |
| 5275 | 814 ArrayN<octave_idx_type> dummy_idx; |
| 4844 | 815 return min (dummy_idx, dim); |
| 816 } | |
| 817 | |
| 818 NDArray | |
| 5275 | 819 NDArray::min (ArrayN<octave_idx_type>& idx_arg, int dim) const |
| 4844 | 820 { |
| 821 dim_vector dv = dims (); | |
| 822 dim_vector dr = dims (); | |
| 823 | |
| 824 if (dv.numel () == 0 || dim > dv.length () || dim < 0) | |
| 825 return NDArray (); | |
| 826 | |
| 827 dr(dim) = 1; | |
| 828 | |
| 829 NDArray result (dr); | |
| 830 idx_arg.resize (dr); | |
| 831 | |
| 5275 | 832 octave_idx_type x_stride = 1; |
| 833 octave_idx_type x_len = dv(dim); | |
| 4844 | 834 for (int i = 0; i < dim; i++) |
| 835 x_stride *= dv(i); | |
| 836 | |
| 5275 | 837 for (octave_idx_type i = 0; i < dr.numel (); i++) |
| 4844 | 838 { |
| 5275 | 839 octave_idx_type x_offset; |
| 4844 | 840 if (x_stride == 1) |
| 841 x_offset = i * x_len; | |
| 842 else | |
| 843 { | |
| 5275 | 844 octave_idx_type x_offset2 = 0; |
| 4844 | 845 x_offset = i; |
| 846 while (x_offset >= x_stride) | |
| 847 { | |
| 848 x_offset -= x_stride; | |
| 849 x_offset2++; | |
| 850 } | |
| 851 x_offset += x_offset2 * x_stride * x_len; | |
| 852 } | |
| 853 | |
| 5275 | 854 octave_idx_type idx_j; |
| 4844 | 855 |
| 856 double tmp_min = octave_NaN; | |
| 857 | |
| 858 for (idx_j = 0; idx_j < x_len; idx_j++) | |
| 859 { | |
| 860 tmp_min = elem (idx_j * x_stride + x_offset); | |
| 861 | |
| 5389 | 862 if (! xisnan (tmp_min)) |
| 4844 | 863 break; |
| 864 } | |
| 865 | |
| 5275 | 866 for (octave_idx_type j = idx_j+1; j < x_len; j++) |
| 4844 | 867 { |
| 868 double tmp = elem (j * x_stride + x_offset); | |
| 869 | |
| 5389 | 870 if (xisnan (tmp)) |
| 4844 | 871 continue; |
| 872 else if (tmp < tmp_min) | |
| 873 { | |
| 874 idx_j = j; | |
| 875 tmp_min = tmp; | |
| 876 } | |
| 877 } | |
| 878 | |
| 879 result.elem (i) = tmp_min; | |
| 5389 | 880 idx_arg.elem (i) = xisnan (tmp_min) ? 0 : idx_j; |
| 4844 | 881 } |
| 882 | |
|
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883 result.chop_trailing_singletons (); |
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884 idx_arg.chop_trailing_singletons (); |
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|
885 |
| 4844 | 886 return result; |
| 887 } | |
| 888 | |
| 4915 | 889 NDArray |
| 5275 | 890 NDArray::concat (const NDArray& rb, const Array<octave_idx_type>& ra_idx) |
| 4758 | 891 { |
| 5073 | 892 if (rb.numel () > 0) |
| 893 insert (rb, ra_idx); | |
| 894 return *this; | |
| 895 } | |
| 896 | |
| 897 ComplexNDArray | |
| 5275 | 898 NDArray::concat (const ComplexNDArray& rb, const Array<octave_idx_type>& ra_idx) |
| 5073 | 899 { |
| 900 ComplexNDArray retval (*this); | |
| 4940 | 901 if (rb.numel () > 0) |
| 4915 | 902 retval.insert (rb, ra_idx); |
| 903 return retval; | |
| 4758 | 904 } |
| 905 | |
| 5073 | 906 charNDArray |
| 5275 | 907 NDArray::concat (const charNDArray& rb, const Array<octave_idx_type>& ra_idx) |
| 5073 | 908 { |
| 909 charNDArray retval (dims ()); | |
| 5275 | 910 octave_idx_type nel = numel (); |
| 5073 | 911 |
| 5275 | 912 for (octave_idx_type i = 0; i < nel; i++) |
| 5073 | 913 { |
| 914 double d = elem (i); | |
| 915 | |
| 916 if (xisnan (d)) | |
| 917 { | |
| 918 (*current_liboctave_error_handler) | |
| 919 ("invalid conversion from NaN to character"); | |
| 920 return retval; | |
| 921 } | |
| 922 else | |
| 923 { | |
| 5275 | 924 octave_idx_type ival = NINTbig (d); |
| 5073 | 925 |
| 926 if (ival < 0 || ival > UCHAR_MAX) | |
| 5775 | 927 // FIXME -- is there something |
| 5073 | 928 // better we could do? Should we warn the user? |
| 929 ival = 0; | |
| 930 | |
| 931 retval.elem (i) = static_cast<char>(ival); | |
| 932 } | |
| 933 } | |
| 934 | |
| 935 if (rb.numel () == 0) | |
| 936 return retval; | |
| 937 | |
| 938 retval.insert (rb, ra_idx); | |
| 939 return retval; | |
| 940 } | |
| 941 | |
| 4634 | 942 NDArray |
| 943 real (const ComplexNDArray& a) | |
| 944 { | |
| 5275 | 945 octave_idx_type a_len = a.length (); |
| 4634 | 946 NDArray retval; |
| 947 if (a_len > 0) | |
| 948 retval = NDArray (mx_inline_real_dup (a.data (), a_len), a.dims ()); | |
| 949 return retval; | |
| 950 } | |
| 951 | |
| 952 NDArray | |
| 953 imag (const ComplexNDArray& a) | |
| 954 { | |
| 5275 | 955 octave_idx_type a_len = a.length (); |
| 4634 | 956 NDArray retval; |
| 957 if (a_len > 0) | |
| 958 retval = NDArray (mx_inline_imag_dup (a.data (), a_len), a.dims ()); | |
| 959 return retval; | |
| 960 } | |
| 961 | |
| 4915 | 962 NDArray& |
| 5275 | 963 NDArray::insert (const NDArray& a, octave_idx_type r, octave_idx_type c) |
| 4915 | 964 { |
| 965 Array<double>::insert (a, r, c); | |
| 966 return *this; | |
| 967 } | |
| 968 | |
| 969 NDArray& | |
| 5275 | 970 NDArray::insert (const NDArray& a, const Array<octave_idx_type>& ra_idx) |
| 4915 | 971 { |
| 972 Array<double>::insert (a, ra_idx); | |
| 973 return *this; | |
| 974 } | |
| 975 | |
| 4634 | 976 NDArray |
| 4569 | 977 NDArray::abs (void) const |
| 978 { | |
| 4634 | 979 NDArray retval (dims ()); |
| 4569 | 980 |
| 5275 | 981 octave_idx_type nel = nelem (); |
| 4634 | 982 |
| 5275 | 983 for (octave_idx_type i = 0; i < nel; i++) |
| 4634 | 984 retval(i) = fabs (elem (i)); |
| 4569 | 985 |
| 986 return retval; | |
| 987 } | |
| 988 | |
| 4532 | 989 Matrix |
| 990 NDArray::matrix_value (void) const | |
| 991 { | |
| 992 Matrix retval; | |
| 993 | |
| 994 int nd = ndims (); | |
| 995 | |
| 996 switch (nd) | |
| 997 { | |
| 998 case 1: | |
| 999 retval = Matrix (Array2<double> (*this, dimensions(0), 1)); | |
| 1000 break; | |
| 1001 | |
| 1002 case 2: | |
| 1003 retval = Matrix (Array2<double> (*this, dimensions(0), dimensions(1))); | |
| 1004 break; | |
| 1005 | |
| 1006 default: | |
| 1007 (*current_liboctave_error_handler) | |
| 4770 | 1008 ("invalid conversion of NDArray to Matrix"); |
| 4532 | 1009 break; |
| 1010 } | |
| 1011 | |
| 1012 return retval; | |
| 1013 } | |
| 1014 | |
| 1015 void | |
| 5275 | 1016 NDArray::increment_index (Array<octave_idx_type>& ra_idx, |
| 4532 | 1017 const dim_vector& dimensions, |
| 1018 int start_dimension) | |
| 1019 { | |
| 1020 ::increment_index (ra_idx, dimensions, start_dimension); | |
| 1021 } | |
| 1022 | |
| 5275 | 1023 octave_idx_type |
| 1024 NDArray::compute_index (Array<octave_idx_type>& ra_idx, | |
| 4556 | 1025 const dim_vector& dimensions) |
| 1026 { | |
| 1027 return ::compute_index (ra_idx, dimensions); | |
| 1028 } | |
| 1029 | |
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1030 NDArray |
|
7620
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1031 NDArray::diag (octave_idx_type k) const |
|
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1032 { |
|
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1033 return MArrayN<double>::diag (k); |
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1034 } |
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1035 |
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1036 NDArray |
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1037 NDArray::map (dmapper fcn) const |
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1038 { |
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1039 return MArrayN<double>::map<double> (func_ptr (fcn)); |
|
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1040 } |
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1041 |
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1042 ComplexNDArray |
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1043 NDArray::map (cmapper fcn) const |
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1044 { |
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1045 return MArrayN<double>::map<Complex> (func_ptr (fcn)); |
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1046 } |
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1047 |
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1048 boolNDArray |
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1049 NDArray::map (bmapper fcn) const |
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1050 { |
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1051 return MArrayN<double>::map<bool> (func_ptr (fcn)); |
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1052 } |
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|
1053 |
| 4687 | 1054 // This contains no information on the array structure !!! |
| 1055 std::ostream& | |
| 1056 operator << (std::ostream& os, const NDArray& a) | |
| 1057 { | |
| 5275 | 1058 octave_idx_type nel = a.nelem (); |
| 4687 | 1059 |
| 5275 | 1060 for (octave_idx_type i = 0; i < nel; i++) |
| 4687 | 1061 { |
| 1062 os << " "; | |
| 1063 octave_write_double (os, a.elem (i)); | |
| 1064 os << "\n"; | |
| 1065 } | |
| 1066 return os; | |
| 1067 } | |
| 1068 | |
| 1069 std::istream& | |
| 1070 operator >> (std::istream& is, NDArray& a) | |
| 1071 { | |
| 5275 | 1072 octave_idx_type nel = a.nelem (); |
| 4687 | 1073 |
| 1074 if (nel < 1 ) | |
| 1075 is.clear (std::ios::badbit); | |
| 1076 else | |
| 1077 { | |
| 1078 double tmp; | |
| 5275 | 1079 for (octave_idx_type i = 0; i < nel; i++) |
| 4687 | 1080 { |
| 1081 tmp = octave_read_double (is); | |
| 1082 if (is) | |
| 1083 a.elem (i) = tmp; | |
| 1084 else | |
| 1085 goto done; | |
| 1086 } | |
| 1087 } | |
| 1088 | |
| 1089 done: | |
| 1090 | |
| 1091 return is; | |
| 1092 } | |
| 1093 | |
| 5775 | 1094 // FIXME -- it would be nice to share code among the min/max |
| 4844 | 1095 // functions below. |
| 1096 | |
| 1097 #define EMPTY_RETURN_CHECK(T) \ | |
| 1098 if (nel == 0) \ | |
| 1099 return T (dv); | |
| 1100 | |
| 1101 NDArray | |
| 1102 min (double d, const NDArray& m) | |
| 1103 { | |
| 1104 dim_vector dv = m.dims (); | |
| 5275 | 1105 octave_idx_type nel = dv.numel (); |
| 4844 | 1106 |
| 1107 EMPTY_RETURN_CHECK (NDArray); | |
| 1108 | |
| 1109 NDArray result (dv); | |
| 1110 | |
| 5275 | 1111 for (octave_idx_type i = 0; i < nel; i++) |
| 4844 | 1112 { |
| 1113 OCTAVE_QUIT; | |
| 1114 result (i) = xmin (d, m (i)); | |
| 1115 } | |
| 1116 | |
| 1117 return result; | |
| 1118 } | |
| 1119 | |
| 1120 NDArray | |
| 1121 min (const NDArray& m, double d) | |
| 1122 { | |
| 1123 dim_vector dv = m.dims (); | |
| 5275 | 1124 octave_idx_type nel = dv.numel (); |
| 4844 | 1125 |
| 1126 EMPTY_RETURN_CHECK (NDArray); | |
| 1127 | |
| 1128 NDArray result (dv); | |
| 1129 | |
| 5275 | 1130 for (octave_idx_type i = 0; i < nel; i++) |
| 4844 | 1131 { |
| 1132 OCTAVE_QUIT; | |
| 1133 result (i) = xmin (d, m (i)); | |
| 1134 } | |
| 1135 | |
| 1136 return result; | |
| 1137 } | |
| 1138 | |
| 1139 NDArray | |
| 1140 min (const NDArray& a, const NDArray& b) | |
| 1141 { | |
| 1142 dim_vector dv = a.dims (); | |
| 5275 | 1143 octave_idx_type nel = dv.numel (); |
| 4844 | 1144 |
| 1145 if (dv != b.dims ()) | |
| 1146 { | |
| 1147 (*current_liboctave_error_handler) | |
| 1148 ("two-arg min expecting args of same size"); | |
| 1149 return NDArray (); | |
| 1150 } | |
| 1151 | |
| 1152 EMPTY_RETURN_CHECK (NDArray); | |
| 1153 | |
| 1154 NDArray result (dv); | |
| 1155 | |
| 5275 | 1156 for (octave_idx_type i = 0; i < nel; i++) |
| 4844 | 1157 { |
| 1158 OCTAVE_QUIT; | |
| 1159 result (i) = xmin (a (i), b (i)); | |
| 1160 } | |
| 1161 | |
| 1162 return result; | |
| 1163 } | |
| 1164 | |
| 1165 NDArray | |
| 1166 max (double d, const NDArray& m) | |
| 1167 { | |
| 1168 dim_vector dv = m.dims (); | |
| 5275 | 1169 octave_idx_type nel = dv.numel (); |
| 4844 | 1170 |
| 1171 EMPTY_RETURN_CHECK (NDArray); | |
| 1172 | |
| 1173 NDArray result (dv); | |
| 1174 | |
| 5275 | 1175 for (octave_idx_type i = 0; i < nel; i++) |
| 4844 | 1176 { |
| 1177 OCTAVE_QUIT; | |
| 1178 result (i) = xmax (d, m (i)); | |
| 1179 } | |
| 1180 | |
| 1181 return result; | |
| 1182 } | |
| 1183 | |
| 1184 NDArray | |
| 1185 max (const NDArray& m, double d) | |
| 1186 { | |
| 1187 dim_vector dv = m.dims (); | |
| 5275 | 1188 octave_idx_type nel = dv.numel (); |
| 4844 | 1189 |
| 1190 EMPTY_RETURN_CHECK (NDArray); | |
| 1191 | |
| 1192 NDArray result (dv); | |
| 1193 | |
| 5275 | 1194 for (octave_idx_type i = 0; i < nel; i++) |
| 4844 | 1195 { |
| 1196 OCTAVE_QUIT; | |
| 1197 result (i) = xmax (d, m (i)); | |
| 1198 } | |
| 1199 | |
| 1200 return result; | |
| 1201 } | |
| 1202 | |
| 1203 NDArray | |
| 1204 max (const NDArray& a, const NDArray& b) | |
| 1205 { | |
| 1206 dim_vector dv = a.dims (); | |
| 5275 | 1207 octave_idx_type nel = dv.numel (); |
| 4844 | 1208 |
| 1209 if (dv != b.dims ()) | |
| 1210 { | |
| 1211 (*current_liboctave_error_handler) | |
| 1212 ("two-arg max expecting args of same size"); | |
| 1213 return NDArray (); | |
| 1214 } | |
| 1215 | |
| 1216 EMPTY_RETURN_CHECK (NDArray); | |
| 1217 | |
| 1218 NDArray result (dv); | |
| 1219 | |
| 5275 | 1220 for (octave_idx_type i = 0; i < nel; i++) |
| 4844 | 1221 { |
| 1222 OCTAVE_QUIT; | |
| 1223 result (i) = xmax (a (i), b (i)); | |
| 1224 } | |
| 1225 | |
| 1226 return result; | |
| 1227 } | |
| 1228 | |
| 4543 | 1229 NDS_CMP_OPS(NDArray, , double, ) |
| 1230 NDS_BOOL_OPS(NDArray, double, 0.0) | |
| 1231 | |
| 1232 SND_CMP_OPS(double, , NDArray, ) | |
| 1233 SND_BOOL_OPS(double, NDArray, 0.0) | |
| 1234 | |
| 1235 NDND_CMP_OPS(NDArray, , NDArray, ) | |
| 1236 NDND_BOOL_OPS(NDArray, NDArray, 0.0) | |
| 1237 | |
| 4513 | 1238 /* |
| 1239 ;;; Local Variables: *** | |
| 1240 ;;; mode: C++ *** | |
| 1241 ;;; End: *** | |
| 1242 */ |