Mercurial > octave
annotate liboctave/dNDArray.cc @ 7922:935be827eaf8
error for NaN values in & and | expressions
| author | John W. Eaton <jwe@octave.org> |
|---|---|
| date | Fri, 11 Jul 2008 14:56:30 -0400 |
| parents | 9d080df0c843 |
| children | f8cab9eeb128 |
| 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" |
| 4511 | 40 |
| 4773 | 41 #if defined (HAVE_FFTW3) |
| 42 #include "oct-fftw.h" | |
| 43 | |
|
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44 NDArray::NDArray (const Array<octave_idx_type>& a, bool zero_based, |
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45 bool negative_to_nan) |
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46 { |
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47 const octave_idx_type *pa = a.fortran_vec (); |
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48 resize (a.dims ()); |
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49 double *ptmp = fortran_vec (); |
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50 if (negative_to_nan) |
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51 { |
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52 double nan_val = lo_ieee_nan_value (); |
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53 |
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54 if (zero_based) |
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55 for (octave_idx_type i = 0; i < a.numel (); i++) |
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56 { |
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57 double val = static_cast<double> |
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58 (pa[i] + static_cast<octave_idx_type> (1)); |
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59 if (val <= 0) |
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60 ptmp[i] = nan_val; |
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61 else |
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62 ptmp[i] = val; |
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63 } |
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64 else |
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65 for (octave_idx_type i = 0; i < a.numel (); i++) |
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66 { |
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67 double val = static_cast<double> (pa[i]); |
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68 if (val <= 0) |
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69 ptmp[i] = nan_val; |
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70 else |
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71 ptmp[i] = val; |
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72 } |
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73 } |
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74 else |
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75 { |
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76 if (zero_based) |
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77 for (octave_idx_type i = 0; i < a.numel (); i++) |
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78 ptmp[i] = static_cast<double> |
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79 (pa[i] + static_cast<octave_idx_type> (1)); |
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80 else |
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81 for (octave_idx_type i = 0; i < a.numel (); i++) |
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82 ptmp[i] = static_cast<double> (pa[i]); |
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83 } |
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84 } |
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85 |
| 4773 | 86 ComplexNDArray |
| 87 NDArray::fourier (int dim) const | |
| 88 { | |
| 89 dim_vector dv = dims (); | |
| 90 | |
| 91 if (dim > dv.length () || dim < 0) | |
| 92 return ComplexNDArray (); | |
| 93 | |
| 5275 | 94 octave_idx_type stride = 1; |
| 95 octave_idx_type n = dv(dim); | |
| 4773 | 96 |
| 97 for (int i = 0; i < dim; i++) | |
| 98 stride *= dv(i); | |
| 99 | |
| 5275 | 100 octave_idx_type howmany = numel () / dv (dim); |
| 4773 | 101 howmany = (stride == 1 ? howmany : (howmany > stride ? stride : howmany)); |
| 5275 | 102 octave_idx_type nloop = (stride == 1 ? 1 : numel () / dv (dim) / stride); |
| 103 octave_idx_type dist = (stride == 1 ? n : 1); | |
| 4773 | 104 |
| 105 const double *in (fortran_vec ()); | |
| 106 ComplexNDArray retval (dv); | |
| 107 Complex *out (retval.fortran_vec ()); | |
| 108 | |
| 109 // Need to be careful here about the distance between fft's | |
| 5275 | 110 for (octave_idx_type k = 0; k < nloop; k++) |
| 4773 | 111 octave_fftw::fft (in + k * stride * n, out + k * stride * n, |
| 112 n, howmany, stride, dist); | |
| 113 | |
| 114 return retval; | |
| 115 } | |
| 116 | |
| 117 ComplexNDArray | |
| 4816 | 118 NDArray::ifourier (int dim) const |
| 4773 | 119 { |
| 120 dim_vector dv = dims (); | |
| 121 | |
| 122 if (dim > dv.length () || dim < 0) | |
| 123 return ComplexNDArray (); | |
| 124 | |
| 5275 | 125 octave_idx_type stride = 1; |
| 126 octave_idx_type n = dv(dim); | |
| 4773 | 127 |
| 128 for (int i = 0; i < dim; i++) | |
| 129 stride *= dv(i); | |
| 130 | |
| 5275 | 131 octave_idx_type howmany = numel () / dv (dim); |
| 4773 | 132 howmany = (stride == 1 ? howmany : (howmany > stride ? stride : howmany)); |
| 5275 | 133 octave_idx_type nloop = (stride == 1 ? 1 : numel () / dv (dim) / stride); |
| 134 octave_idx_type dist = (stride == 1 ? n : 1); | |
| 4773 | 135 |
| 136 ComplexNDArray retval (*this); | |
| 137 Complex *out (retval.fortran_vec ()); | |
| 138 | |
| 139 // Need to be careful here about the distance between fft's | |
| 5275 | 140 for (octave_idx_type k = 0; k < nloop; k++) |
| 4773 | 141 octave_fftw::ifft (out + k * stride * n, out + k * stride * n, |
| 142 n, howmany, stride, dist); | |
| 143 | |
| 144 return retval; | |
| 145 } | |
| 146 | |
| 147 ComplexNDArray | |
| 148 NDArray::fourier2d (void) const | |
| 149 { | |
| 150 dim_vector dv = dims(); | |
| 151 if (dv.length () < 2) | |
| 152 return ComplexNDArray (); | |
| 153 | |
| 154 dim_vector dv2(dv(0), dv(1)); | |
| 155 const double *in = fortran_vec (); | |
| 156 ComplexNDArray retval (dv); | |
| 157 Complex *out = retval.fortran_vec (); | |
| 5275 | 158 octave_idx_type howmany = numel() / dv(0) / dv(1); |
| 159 octave_idx_type dist = dv(0) * dv(1); | |
| 4773 | 160 |
| 5275 | 161 for (octave_idx_type i=0; i < howmany; i++) |
| 4773 | 162 octave_fftw::fftNd (in + i*dist, out + i*dist, 2, dv2); |
| 163 | |
| 164 return retval; | |
| 165 } | |
| 166 | |
| 167 ComplexNDArray | |
| 168 NDArray::ifourier2d (void) const | |
| 169 { | |
| 170 dim_vector dv = dims(); | |
| 171 if (dv.length () < 2) | |
| 172 return ComplexNDArray (); | |
| 173 | |
| 174 dim_vector dv2(dv(0), dv(1)); | |
| 175 ComplexNDArray retval (*this); | |
| 176 Complex *out = retval.fortran_vec (); | |
| 5275 | 177 octave_idx_type howmany = numel() / dv(0) / dv(1); |
| 178 octave_idx_type dist = dv(0) * dv(1); | |
| 4773 | 179 |
| 5275 | 180 for (octave_idx_type i=0; i < howmany; i++) |
| 4773 | 181 octave_fftw::ifftNd (out + i*dist, out + i*dist, 2, dv2); |
| 182 | |
| 183 return retval; | |
| 184 } | |
| 185 | |
| 186 ComplexNDArray | |
| 187 NDArray::fourierNd (void) const | |
| 188 { | |
| 189 dim_vector dv = dims (); | |
| 190 int rank = dv.length (); | |
| 191 | |
| 192 const double *in (fortran_vec ()); | |
| 193 ComplexNDArray retval (dv); | |
| 194 Complex *out (retval.fortran_vec ()); | |
| 195 | |
| 196 octave_fftw::fftNd (in, out, rank, dv); | |
| 197 | |
| 198 return retval; | |
| 199 } | |
| 200 | |
| 201 ComplexNDArray | |
| 202 NDArray::ifourierNd (void) const | |
| 203 { | |
| 204 dim_vector dv = dims (); | |
| 205 int rank = dv.length (); | |
| 206 | |
| 207 ComplexNDArray tmp (*this); | |
| 208 Complex *in (tmp.fortran_vec ()); | |
| 209 ComplexNDArray retval (dv); | |
| 210 Complex *out (retval.fortran_vec ()); | |
| 211 | |
| 212 octave_fftw::ifftNd (in, out, rank, dv); | |
| 213 | |
| 214 return retval; | |
| 215 } | |
| 216 | |
| 217 #else | |
| 218 | |
| 219 extern "C" | |
| 220 { | |
| 221 // Note that the original complex fft routines were not written for | |
| 222 // double complex arguments. They have been modified by adding an | |
| 223 // implicit double precision (a-h,o-z) statement at the beginning of | |
| 224 // each subroutine. | |
| 225 | |
| 226 F77_RET_T | |
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227 F77_FUNC (zffti, ZFFTI) (const octave_idx_type&, Complex*); |
| 4773 | 228 |
| 229 F77_RET_T | |
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230 F77_FUNC (zfftf, ZFFTF) (const octave_idx_type&, Complex*, Complex*); |
| 4773 | 231 |
| 232 F77_RET_T | |
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233 F77_FUNC (zfftb, ZFFTB) (const octave_idx_type&, Complex*, Complex*); |
| 4773 | 234 } |
| 235 | |
| 236 ComplexNDArray | |
| 237 NDArray::fourier (int dim) const | |
| 238 { | |
| 239 dim_vector dv = dims (); | |
| 240 | |
| 241 if (dim > dv.length () || dim < 0) | |
| 242 return ComplexNDArray (); | |
| 243 | |
| 244 ComplexNDArray retval (dv); | |
| 5275 | 245 octave_idx_type npts = dv(dim); |
| 246 octave_idx_type nn = 4*npts+15; | |
| 4773 | 247 Array<Complex> wsave (nn); |
| 248 Complex *pwsave = wsave.fortran_vec (); | |
| 249 | |
| 250 OCTAVE_LOCAL_BUFFER (Complex, tmp, npts); | |
| 251 | |
| 5275 | 252 octave_idx_type stride = 1; |
| 4773 | 253 |
| 254 for (int i = 0; i < dim; i++) | |
| 255 stride *= dv(i); | |
| 256 | |
| 5275 | 257 octave_idx_type howmany = numel () / npts; |
| 4773 | 258 howmany = (stride == 1 ? howmany : (howmany > stride ? stride : howmany)); |
| 5275 | 259 octave_idx_type nloop = (stride == 1 ? 1 : numel () / npts / stride); |
| 260 octave_idx_type dist = (stride == 1 ? npts : 1); | |
| 4773 | 261 |
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262 F77_FUNC (zffti, ZFFTI) (npts, pwsave); |
| 4773 | 263 |
| 5275 | 264 for (octave_idx_type k = 0; k < nloop; k++) |
| 4773 | 265 { |
| 5275 | 266 for (octave_idx_type j = 0; j < howmany; j++) |
| 4773 | 267 { |
| 268 OCTAVE_QUIT; | |
| 269 | |
| 5275 | 270 for (octave_idx_type i = 0; i < npts; i++) |
| 4773 | 271 tmp[i] = elem((i + k*npts)*stride + j*dist); |
| 272 | |
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273 F77_FUNC (zfftf, ZFFTF) (npts, tmp, pwsave); |
| 4773 | 274 |
| 5275 | 275 for (octave_idx_type i = 0; i < npts; i++) |
| 4773 | 276 retval ((i + k*npts)*stride + j*dist) = tmp[i]; |
| 277 } | |
| 278 } | |
| 279 | |
| 280 return retval; | |
| 281 } | |
| 282 | |
| 283 ComplexNDArray | |
| 284 NDArray::ifourier (int dim) const | |
| 285 { | |
| 286 dim_vector dv = dims (); | |
| 287 | |
| 288 if (dim > dv.length () || dim < 0) | |
| 289 return ComplexNDArray (); | |
| 290 | |
| 291 ComplexNDArray retval (dv); | |
| 5275 | 292 octave_idx_type npts = dv(dim); |
| 293 octave_idx_type nn = 4*npts+15; | |
| 4773 | 294 Array<Complex> wsave (nn); |
| 295 Complex *pwsave = wsave.fortran_vec (); | |
| 296 | |
| 297 OCTAVE_LOCAL_BUFFER (Complex, tmp, npts); | |
| 298 | |
| 5275 | 299 octave_idx_type stride = 1; |
| 4773 | 300 |
| 301 for (int i = 0; i < dim; i++) | |
| 302 stride *= dv(i); | |
| 303 | |
| 5275 | 304 octave_idx_type howmany = numel () / npts; |
| 4773 | 305 howmany = (stride == 1 ? howmany : (howmany > stride ? stride : howmany)); |
| 5275 | 306 octave_idx_type nloop = (stride == 1 ? 1 : numel () / npts / stride); |
| 307 octave_idx_type dist = (stride == 1 ? npts : 1); | |
| 4773 | 308 |
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309 F77_FUNC (zffti, ZFFTI) (npts, pwsave); |
| 4773 | 310 |
| 5275 | 311 for (octave_idx_type k = 0; k < nloop; k++) |
| 4773 | 312 { |
| 5275 | 313 for (octave_idx_type j = 0; j < howmany; j++) |
| 4773 | 314 { |
| 315 OCTAVE_QUIT; | |
| 316 | |
| 5275 | 317 for (octave_idx_type i = 0; i < npts; i++) |
| 4773 | 318 tmp[i] = elem((i + k*npts)*stride + j*dist); |
| 319 | |
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320 F77_FUNC (zfftb, ZFFTB) (npts, tmp, pwsave); |
| 4773 | 321 |
| 5275 | 322 for (octave_idx_type i = 0; i < npts; i++) |
| 4773 | 323 retval ((i + k*npts)*stride + j*dist) = tmp[i] / |
| 324 static_cast<double> (npts); | |
| 325 } | |
| 326 } | |
| 327 | |
| 328 return retval; | |
| 329 } | |
| 330 | |
| 331 ComplexNDArray | |
| 332 NDArray::fourier2d (void) const | |
| 333 { | |
| 334 dim_vector dv = dims(); | |
| 335 dim_vector dv2 (dv(0), dv(1)); | |
| 336 int rank = 2; | |
| 337 ComplexNDArray retval (*this); | |
| 5275 | 338 octave_idx_type stride = 1; |
| 4773 | 339 |
| 340 for (int i = 0; i < rank; i++) | |
| 341 { | |
| 5275 | 342 octave_idx_type npts = dv2(i); |
| 343 octave_idx_type nn = 4*npts+15; | |
| 4773 | 344 Array<Complex> wsave (nn); |
| 345 Complex *pwsave = wsave.fortran_vec (); | |
| 346 Array<Complex> row (npts); | |
| 347 Complex *prow = row.fortran_vec (); | |
| 348 | |
| 5275 | 349 octave_idx_type howmany = numel () / npts; |
| 4773 | 350 howmany = (stride == 1 ? howmany : |
| 351 (howmany > stride ? stride : howmany)); | |
| 5275 | 352 octave_idx_type nloop = (stride == 1 ? 1 : numel () / npts / stride); |
| 353 octave_idx_type dist = (stride == 1 ? npts : 1); | |
| 4773 | 354 |
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355 F77_FUNC (zffti, ZFFTI) (npts, pwsave); |
| 4773 | 356 |
| 5275 | 357 for (octave_idx_type k = 0; k < nloop; k++) |
| 4773 | 358 { |
| 5275 | 359 for (octave_idx_type j = 0; j < howmany; j++) |
| 4773 | 360 { |
| 361 OCTAVE_QUIT; | |
| 362 | |
| 5275 | 363 for (octave_idx_type l = 0; l < npts; l++) |
| 4773 | 364 prow[l] = retval ((l + k*npts)*stride + j*dist); |
| 365 | |
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366 F77_FUNC (zfftf, ZFFTF) (npts, prow, pwsave); |
| 4773 | 367 |
| 5275 | 368 for (octave_idx_type l = 0; l < npts; l++) |
| 4773 | 369 retval ((l + k*npts)*stride + j*dist) = prow[l]; |
| 370 } | |
| 371 } | |
| 372 | |
| 373 stride *= dv2(i); | |
| 374 } | |
| 375 | |
| 376 return retval; | |
| 377 } | |
| 378 | |
| 379 ComplexNDArray | |
| 380 NDArray::ifourier2d (void) const | |
| 381 { | |
| 382 dim_vector dv = dims(); | |
| 383 dim_vector dv2 (dv(0), dv(1)); | |
| 384 int rank = 2; | |
| 385 ComplexNDArray retval (*this); | |
| 5275 | 386 octave_idx_type stride = 1; |
| 4773 | 387 |
| 388 for (int i = 0; i < rank; i++) | |
| 389 { | |
| 5275 | 390 octave_idx_type npts = dv2(i); |
| 391 octave_idx_type nn = 4*npts+15; | |
| 4773 | 392 Array<Complex> wsave (nn); |
| 393 Complex *pwsave = wsave.fortran_vec (); | |
| 394 Array<Complex> row (npts); | |
| 395 Complex *prow = row.fortran_vec (); | |
| 396 | |
| 5275 | 397 octave_idx_type howmany = numel () / npts; |
| 4773 | 398 howmany = (stride == 1 ? howmany : |
| 399 (howmany > stride ? stride : howmany)); | |
| 5275 | 400 octave_idx_type nloop = (stride == 1 ? 1 : numel () / npts / stride); |
| 401 octave_idx_type dist = (stride == 1 ? npts : 1); | |
| 4773 | 402 |
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403 F77_FUNC (zffti, ZFFTI) (npts, pwsave); |
| 4773 | 404 |
| 5275 | 405 for (octave_idx_type k = 0; k < nloop; k++) |
| 4773 | 406 { |
| 5275 | 407 for (octave_idx_type j = 0; j < howmany; j++) |
| 4773 | 408 { |
| 409 OCTAVE_QUIT; | |
| 410 | |
| 5275 | 411 for (octave_idx_type l = 0; l < npts; l++) |
| 4773 | 412 prow[l] = retval ((l + k*npts)*stride + j*dist); |
| 413 | |
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414 F77_FUNC (zfftb, ZFFTB) (npts, prow, pwsave); |
| 4773 | 415 |
| 5275 | 416 for (octave_idx_type l = 0; l < npts; l++) |
| 4773 | 417 retval ((l + k*npts)*stride + j*dist) = prow[l] / |
| 418 static_cast<double> (npts); | |
| 419 } | |
| 420 } | |
| 421 | |
| 422 stride *= dv2(i); | |
| 423 } | |
| 424 | |
| 425 return retval; | |
| 426 } | |
| 427 | |
| 428 ComplexNDArray | |
| 429 NDArray::fourierNd (void) const | |
| 430 { | |
| 431 dim_vector dv = dims (); | |
| 432 int rank = dv.length (); | |
| 433 ComplexNDArray retval (*this); | |
| 5275 | 434 octave_idx_type stride = 1; |
| 4773 | 435 |
| 436 for (int i = 0; i < rank; i++) | |
| 437 { | |
| 5275 | 438 octave_idx_type npts = dv(i); |
| 439 octave_idx_type nn = 4*npts+15; | |
| 4773 | 440 Array<Complex> wsave (nn); |
| 441 Complex *pwsave = wsave.fortran_vec (); | |
| 442 Array<Complex> row (npts); | |
| 443 Complex *prow = row.fortran_vec (); | |
| 444 | |
| 5275 | 445 octave_idx_type howmany = numel () / npts; |
| 4773 | 446 howmany = (stride == 1 ? howmany : |
| 447 (howmany > stride ? stride : howmany)); | |
| 5275 | 448 octave_idx_type nloop = (stride == 1 ? 1 : numel () / npts / stride); |
| 449 octave_idx_type dist = (stride == 1 ? npts : 1); | |
| 4773 | 450 |
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451 F77_FUNC (zffti, ZFFTI) (npts, pwsave); |
| 4773 | 452 |
| 5275 | 453 for (octave_idx_type k = 0; k < nloop; k++) |
| 4773 | 454 { |
| 5275 | 455 for (octave_idx_type j = 0; j < howmany; j++) |
| 4773 | 456 { |
| 457 OCTAVE_QUIT; | |
| 458 | |
| 5275 | 459 for (octave_idx_type l = 0; l < npts; l++) |
| 4773 | 460 prow[l] = retval ((l + k*npts)*stride + j*dist); |
| 461 | |
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462 F77_FUNC (zfftf, ZFFTF) (npts, prow, pwsave); |
| 4773 | 463 |
| 5275 | 464 for (octave_idx_type l = 0; l < npts; l++) |
| 4773 | 465 retval ((l + k*npts)*stride + j*dist) = prow[l]; |
| 466 } | |
| 467 } | |
| 468 | |
| 469 stride *= dv(i); | |
| 470 } | |
| 471 | |
| 472 return retval; | |
| 473 } | |
| 474 | |
| 475 ComplexNDArray | |
| 476 NDArray::ifourierNd (void) const | |
| 477 { | |
| 478 dim_vector dv = dims (); | |
| 479 int rank = dv.length (); | |
| 480 ComplexNDArray retval (*this); | |
| 5275 | 481 octave_idx_type stride = 1; |
| 4773 | 482 |
| 483 for (int i = 0; i < rank; i++) | |
| 484 { | |
| 5275 | 485 octave_idx_type npts = dv(i); |
| 486 octave_idx_type nn = 4*npts+15; | |
| 4773 | 487 Array<Complex> wsave (nn); |
| 488 Complex *pwsave = wsave.fortran_vec (); | |
| 489 Array<Complex> row (npts); | |
| 490 Complex *prow = row.fortran_vec (); | |
| 491 | |
| 5275 | 492 octave_idx_type howmany = numel () / npts; |
| 4773 | 493 howmany = (stride == 1 ? howmany : |
| 494 (howmany > stride ? stride : howmany)); | |
| 5275 | 495 octave_idx_type nloop = (stride == 1 ? 1 : numel () / npts / stride); |
| 496 octave_idx_type dist = (stride == 1 ? npts : 1); | |
| 4773 | 497 |
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498 F77_FUNC (zffti, ZFFTI) (npts, pwsave); |
| 4773 | 499 |
| 5275 | 500 for (octave_idx_type k = 0; k < nloop; k++) |
| 4773 | 501 { |
| 5275 | 502 for (octave_idx_type j = 0; j < howmany; j++) |
| 4773 | 503 { |
| 504 OCTAVE_QUIT; | |
| 505 | |
| 5275 | 506 for (octave_idx_type l = 0; l < npts; l++) |
| 4773 | 507 prow[l] = retval ((l + k*npts)*stride + j*dist); |
| 508 | |
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509 F77_FUNC (zfftb, ZFFTB) (npts, prow, pwsave); |
| 4773 | 510 |
| 5275 | 511 for (octave_idx_type l = 0; l < npts; l++) |
| 4773 | 512 retval ((l + k*npts)*stride + j*dist) = prow[l] / |
| 513 static_cast<double> (npts); | |
| 514 } | |
| 515 } | |
| 516 | |
| 517 stride *= dv(i); | |
| 518 } | |
| 519 | |
| 520 return retval; | |
| 521 } | |
| 522 | |
| 523 #endif | |
| 524 | |
| 4543 | 525 // unary operations |
| 526 | |
| 527 boolNDArray | |
| 528 NDArray::operator ! (void) const | |
| 529 { | |
| 530 boolNDArray b (dims ()); | |
| 531 | |
| 5275 | 532 for (octave_idx_type i = 0; i < length (); i++) |
| 4543 | 533 b.elem (i) = ! elem (i); |
| 534 | |
| 535 return b; | |
| 536 } | |
| 537 | |
| 4634 | 538 bool |
| 539 NDArray::any_element_is_negative (bool neg_zero) const | |
| 540 { | |
| 5275 | 541 octave_idx_type nel = nelem (); |
| 4634 | 542 |
| 543 if (neg_zero) | |
| 544 { | |
| 5275 | 545 for (octave_idx_type i = 0; i < nel; i++) |
| 4634 | 546 if (lo_ieee_signbit (elem (i))) |
| 547 return true; | |
| 548 } | |
| 549 else | |
| 550 { | |
| 5275 | 551 for (octave_idx_type i = 0; i < nel; i++) |
| 4634 | 552 if (elem (i) < 0) |
| 553 return true; | |
| 554 } | |
| 555 | |
| 556 return false; | |
| 557 } | |
| 558 | |
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559 bool |
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560 NDArray::any_element_is_nan (void) const |
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561 { |
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562 octave_idx_type nel = nelem (); |
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563 |
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564 for (octave_idx_type i = 0; i < nel; i++) |
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565 { |
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566 double val = elem (i); |
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567 if (xisnan (val)) |
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568 return true; |
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569 } |
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570 |
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571 return false; |
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572 } |
| 4634 | 573 |
| 574 bool | |
| 575 NDArray::any_element_is_inf_or_nan (void) const | |
| 576 { | |
| 5275 | 577 octave_idx_type nel = nelem (); |
| 4634 | 578 |
| 5275 | 579 for (octave_idx_type i = 0; i < nel; i++) |
| 4634 | 580 { |
| 581 double val = elem (i); | |
| 582 if (xisinf (val) || xisnan (val)) | |
| 583 return true; | |
| 584 } | |
| 585 | |
| 586 return false; | |
| 587 } | |
| 588 | |
| 589 bool | |
| 5943 | 590 NDArray::any_element_not_one_or_zero (void) const |
| 591 { | |
| 592 octave_idx_type nel = nelem (); | |
| 593 | |
| 594 for (octave_idx_type i = 0; i < nel; i++) | |
| 595 { | |
| 596 double val = elem (i); | |
| 597 if (val != 0 && val != 1) | |
| 598 return true; | |
| 599 } | |
| 600 | |
| 601 return false; | |
| 602 } | |
| 603 | |
| 604 bool | |
| 6989 | 605 NDArray::all_elements_are_zero (void) const |
| 606 { | |
| 607 octave_idx_type nel = nelem (); | |
| 608 | |
| 609 for (octave_idx_type i = 0; i < nel; i++) | |
| 610 if (elem (i) != 0) | |
| 611 return false; | |
| 612 | |
| 613 return true; | |
| 614 } | |
| 615 | |
| 616 bool | |
| 4634 | 617 NDArray::all_elements_are_int_or_inf_or_nan (void) const |
| 618 { | |
| 5275 | 619 octave_idx_type nel = nelem (); |
| 4634 | 620 |
| 5275 | 621 for (octave_idx_type i = 0; i < nel; i++) |
| 4634 | 622 { |
| 623 double val = elem (i); | |
| 624 if (xisnan (val) || D_NINT (val) == val) | |
| 625 continue; | |
| 626 else | |
| 627 return false; | |
| 628 } | |
| 629 | |
| 630 return true; | |
| 631 } | |
| 632 | |
| 633 // Return nonzero if any element of M is not an integer. Also extract | |
| 634 // the largest and smallest values and return them in MAX_VAL and MIN_VAL. | |
| 635 | |
| 636 bool | |
| 637 NDArray::all_integers (double& max_val, double& min_val) const | |
| 638 { | |
| 5275 | 639 octave_idx_type nel = nelem (); |
| 4634 | 640 |
| 641 if (nel > 0) | |
| 642 { | |
| 643 max_val = elem (0); | |
| 644 min_val = elem (0); | |
| 645 } | |
| 646 else | |
| 647 return false; | |
| 648 | |
| 5275 | 649 for (octave_idx_type i = 0; i < nel; i++) |
| 4634 | 650 { |
| 651 double val = elem (i); | |
| 652 | |
| 653 if (val > max_val) | |
| 654 max_val = val; | |
| 655 | |
| 656 if (val < min_val) | |
| 657 min_val = val; | |
| 658 | |
| 659 if (D_NINT (val) != val) | |
| 660 return false; | |
| 661 } | |
| 662 | |
| 663 return true; | |
| 664 } | |
| 665 | |
| 666 bool | |
| 667 NDArray::too_large_for_float (void) const | |
| 668 { | |
| 5275 | 669 octave_idx_type nel = nelem (); |
| 4634 | 670 |
| 5275 | 671 for (octave_idx_type i = 0; i < nel; i++) |
| 4634 | 672 { |
| 673 double val = elem (i); | |
| 674 | |
| 5389 | 675 if (! (xisnan (val) || xisinf (val)) |
| 5387 | 676 && fabs (val) > FLT_MAX) |
| 4634 | 677 return true; |
| 678 } | |
| 679 | |
| 680 return false; | |
| 681 } | |
| 682 | |
| 5775 | 683 // FIXME -- this is not quite the right thing. |
| 4513 | 684 |
| 4556 | 685 boolNDArray |
| 4513 | 686 NDArray::all (int dim) const |
| 687 { | |
| 4569 | 688 MX_ND_ANY_ALL_REDUCTION (MX_ND_ALL_EVAL (MX_ND_ALL_EXPR), true); |
| 4513 | 689 } |
| 690 | |
| 4556 | 691 boolNDArray |
| 4513 | 692 NDArray::any (int dim) const |
| 693 { | |
| 5110 | 694 MX_ND_ANY_ALL_REDUCTION |
| 695 (MX_ND_ANY_EVAL (elem (iter_idx) != 0 | |
| 696 && ! lo_ieee_isnan (elem (iter_idx))), false); | |
| 4569 | 697 } |
| 698 | |
| 4584 | 699 NDArray |
| 4569 | 700 NDArray::cumprod (int dim) const |
| 701 { | |
| 4584 | 702 MX_ND_CUMULATIVE_OP (NDArray, double, 1, *); |
| 4569 | 703 } |
| 704 | |
| 4584 | 705 NDArray |
| 4569 | 706 NDArray::cumsum (int dim) const |
| 707 { | |
| 4584 | 708 MX_ND_CUMULATIVE_OP (NDArray, double, 0, +); |
| 4513 | 709 } |
| 710 | |
| 4569 | 711 NDArray |
| 712 NDArray::prod (int dim) const | |
| 713 { | |
| 714 MX_ND_REAL_OP_REDUCTION (*= elem (iter_idx), 1); | |
| 715 } | |
| 716 | |
| 717 NDArray | |
| 718 NDArray::sumsq (int dim) const | |
| 719 { | |
| 720 MX_ND_REAL_OP_REDUCTION (+= std::pow (elem (iter_idx), 2), 0); | |
| 721 } | |
| 722 | |
| 723 NDArray | |
| 724 NDArray::sum (int dim) const | |
| 725 { | |
| 726 MX_ND_REAL_OP_REDUCTION (+= elem (iter_idx), 0); | |
| 727 } | |
| 728 | |
| 4844 | 729 NDArray |
| 730 NDArray::max (int dim) const | |
| 731 { | |
| 5275 | 732 ArrayN<octave_idx_type> dummy_idx; |
| 4844 | 733 return max (dummy_idx, dim); |
| 734 } | |
| 735 | |
| 736 NDArray | |
| 5275 | 737 NDArray::max (ArrayN<octave_idx_type>& idx_arg, int dim) const |
| 4844 | 738 { |
| 739 dim_vector dv = dims (); | |
| 740 dim_vector dr = dims (); | |
| 741 | |
| 742 if (dv.numel () == 0 || dim > dv.length () || dim < 0) | |
| 743 return NDArray (); | |
| 744 | |
| 745 dr(dim) = 1; | |
| 746 | |
| 747 NDArray result (dr); | |
| 748 idx_arg.resize (dr); | |
| 749 | |
| 5275 | 750 octave_idx_type x_stride = 1; |
| 751 octave_idx_type x_len = dv(dim); | |
| 4844 | 752 for (int i = 0; i < dim; i++) |
| 753 x_stride *= dv(i); | |
| 754 | |
| 5275 | 755 for (octave_idx_type i = 0; i < dr.numel (); i++) |
| 4844 | 756 { |
| 5275 | 757 octave_idx_type x_offset; |
| 4844 | 758 if (x_stride == 1) |
| 759 x_offset = i * x_len; | |
| 760 else | |
| 761 { | |
| 5275 | 762 octave_idx_type x_offset2 = 0; |
| 4844 | 763 x_offset = i; |
| 764 while (x_offset >= x_stride) | |
| 765 { | |
| 766 x_offset -= x_stride; | |
| 767 x_offset2++; | |
| 768 } | |
| 769 x_offset += x_offset2 * x_stride * x_len; | |
| 770 } | |
| 771 | |
| 5275 | 772 octave_idx_type idx_j; |
| 4844 | 773 |
| 774 double tmp_max = octave_NaN; | |
| 775 | |
| 776 for (idx_j = 0; idx_j < x_len; idx_j++) | |
| 777 { | |
| 778 tmp_max = elem (idx_j * x_stride + x_offset); | |
| 779 | |
| 5389 | 780 if (! xisnan (tmp_max)) |
| 4844 | 781 break; |
| 782 } | |
| 783 | |
| 5275 | 784 for (octave_idx_type j = idx_j+1; j < x_len; j++) |
| 4844 | 785 { |
| 786 double tmp = elem (j * x_stride + x_offset); | |
| 787 | |
| 5389 | 788 if (xisnan (tmp)) |
| 4844 | 789 continue; |
| 790 else if (tmp > tmp_max) | |
| 791 { | |
| 792 idx_j = j; | |
| 793 tmp_max = tmp; | |
| 794 } | |
| 795 } | |
| 796 | |
| 797 result.elem (i) = tmp_max; | |
| 5389 | 798 idx_arg.elem (i) = xisnan (tmp_max) ? 0 : idx_j; |
| 4844 | 799 } |
| 800 | |
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801 result.chop_trailing_singletons (); |
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802 idx_arg.chop_trailing_singletons (); |
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803 |
| 4844 | 804 return result; |
| 805 } | |
| 806 | |
| 807 NDArray | |
| 808 NDArray::min (int dim) const | |
| 809 { | |
| 5275 | 810 ArrayN<octave_idx_type> dummy_idx; |
| 4844 | 811 return min (dummy_idx, dim); |
| 812 } | |
| 813 | |
| 814 NDArray | |
| 5275 | 815 NDArray::min (ArrayN<octave_idx_type>& idx_arg, int dim) const |
| 4844 | 816 { |
| 817 dim_vector dv = dims (); | |
| 818 dim_vector dr = dims (); | |
| 819 | |
| 820 if (dv.numel () == 0 || dim > dv.length () || dim < 0) | |
| 821 return NDArray (); | |
| 822 | |
| 823 dr(dim) = 1; | |
| 824 | |
| 825 NDArray result (dr); | |
| 826 idx_arg.resize (dr); | |
| 827 | |
| 5275 | 828 octave_idx_type x_stride = 1; |
| 829 octave_idx_type x_len = dv(dim); | |
| 4844 | 830 for (int i = 0; i < dim; i++) |
| 831 x_stride *= dv(i); | |
| 832 | |
| 5275 | 833 for (octave_idx_type i = 0; i < dr.numel (); i++) |
| 4844 | 834 { |
| 5275 | 835 octave_idx_type x_offset; |
| 4844 | 836 if (x_stride == 1) |
| 837 x_offset = i * x_len; | |
| 838 else | |
| 839 { | |
| 5275 | 840 octave_idx_type x_offset2 = 0; |
| 4844 | 841 x_offset = i; |
| 842 while (x_offset >= x_stride) | |
| 843 { | |
| 844 x_offset -= x_stride; | |
| 845 x_offset2++; | |
| 846 } | |
| 847 x_offset += x_offset2 * x_stride * x_len; | |
| 848 } | |
| 849 | |
| 5275 | 850 octave_idx_type idx_j; |
| 4844 | 851 |
| 852 double tmp_min = octave_NaN; | |
| 853 | |
| 854 for (idx_j = 0; idx_j < x_len; idx_j++) | |
| 855 { | |
| 856 tmp_min = elem (idx_j * x_stride + x_offset); | |
| 857 | |
| 5389 | 858 if (! xisnan (tmp_min)) |
| 4844 | 859 break; |
| 860 } | |
| 861 | |
| 5275 | 862 for (octave_idx_type j = idx_j+1; j < x_len; j++) |
| 4844 | 863 { |
| 864 double tmp = elem (j * x_stride + x_offset); | |
| 865 | |
| 5389 | 866 if (xisnan (tmp)) |
| 4844 | 867 continue; |
| 868 else if (tmp < tmp_min) | |
| 869 { | |
| 870 idx_j = j; | |
| 871 tmp_min = tmp; | |
| 872 } | |
| 873 } | |
| 874 | |
| 875 result.elem (i) = tmp_min; | |
| 5389 | 876 idx_arg.elem (i) = xisnan (tmp_min) ? 0 : idx_j; |
| 4844 | 877 } |
| 878 | |
|
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879 result.chop_trailing_singletons (); |
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880 idx_arg.chop_trailing_singletons (); |
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881 |
| 4844 | 882 return result; |
| 883 } | |
| 884 | |
| 4915 | 885 NDArray |
| 5275 | 886 NDArray::concat (const NDArray& rb, const Array<octave_idx_type>& ra_idx) |
| 4758 | 887 { |
| 5073 | 888 if (rb.numel () > 0) |
| 889 insert (rb, ra_idx); | |
| 890 return *this; | |
| 891 } | |
| 892 | |
| 893 ComplexNDArray | |
| 5275 | 894 NDArray::concat (const ComplexNDArray& rb, const Array<octave_idx_type>& ra_idx) |
| 5073 | 895 { |
| 896 ComplexNDArray retval (*this); | |
| 4940 | 897 if (rb.numel () > 0) |
| 4915 | 898 retval.insert (rb, ra_idx); |
| 899 return retval; | |
| 4758 | 900 } |
| 901 | |
| 5073 | 902 charNDArray |
| 5275 | 903 NDArray::concat (const charNDArray& rb, const Array<octave_idx_type>& ra_idx) |
| 5073 | 904 { |
| 905 charNDArray retval (dims ()); | |
| 5275 | 906 octave_idx_type nel = numel (); |
| 5073 | 907 |
| 5275 | 908 for (octave_idx_type i = 0; i < nel; i++) |
| 5073 | 909 { |
| 910 double d = elem (i); | |
| 911 | |
| 912 if (xisnan (d)) | |
| 913 { | |
| 914 (*current_liboctave_error_handler) | |
| 915 ("invalid conversion from NaN to character"); | |
| 916 return retval; | |
| 917 } | |
| 918 else | |
| 919 { | |
| 5275 | 920 octave_idx_type ival = NINTbig (d); |
| 5073 | 921 |
| 922 if (ival < 0 || ival > UCHAR_MAX) | |
| 5775 | 923 // FIXME -- is there something |
| 5073 | 924 // better we could do? Should we warn the user? |
| 925 ival = 0; | |
| 926 | |
| 927 retval.elem (i) = static_cast<char>(ival); | |
| 928 } | |
| 929 } | |
| 930 | |
| 931 if (rb.numel () == 0) | |
| 932 return retval; | |
| 933 | |
| 934 retval.insert (rb, ra_idx); | |
| 935 return retval; | |
| 936 } | |
| 937 | |
| 4634 | 938 NDArray |
| 939 real (const ComplexNDArray& a) | |
| 940 { | |
| 5275 | 941 octave_idx_type a_len = a.length (); |
| 4634 | 942 NDArray retval; |
| 943 if (a_len > 0) | |
| 944 retval = NDArray (mx_inline_real_dup (a.data (), a_len), a.dims ()); | |
| 945 return retval; | |
| 946 } | |
| 947 | |
| 948 NDArray | |
| 949 imag (const ComplexNDArray& a) | |
| 950 { | |
| 5275 | 951 octave_idx_type a_len = a.length (); |
| 4634 | 952 NDArray retval; |
| 953 if (a_len > 0) | |
| 954 retval = NDArray (mx_inline_imag_dup (a.data (), a_len), a.dims ()); | |
| 955 return retval; | |
| 956 } | |
| 957 | |
| 4915 | 958 NDArray& |
| 5275 | 959 NDArray::insert (const NDArray& a, octave_idx_type r, octave_idx_type c) |
| 4915 | 960 { |
| 961 Array<double>::insert (a, r, c); | |
| 962 return *this; | |
| 963 } | |
| 964 | |
| 965 NDArray& | |
| 5275 | 966 NDArray::insert (const NDArray& a, const Array<octave_idx_type>& ra_idx) |
| 4915 | 967 { |
| 968 Array<double>::insert (a, ra_idx); | |
| 969 return *this; | |
| 970 } | |
| 971 | |
| 4634 | 972 NDArray |
| 4569 | 973 NDArray::abs (void) const |
| 974 { | |
| 4634 | 975 NDArray retval (dims ()); |
| 4569 | 976 |
| 5275 | 977 octave_idx_type nel = nelem (); |
| 4634 | 978 |
| 5275 | 979 for (octave_idx_type i = 0; i < nel; i++) |
| 4634 | 980 retval(i) = fabs (elem (i)); |
| 4569 | 981 |
| 982 return retval; | |
| 983 } | |
| 984 | |
| 4532 | 985 Matrix |
| 986 NDArray::matrix_value (void) const | |
| 987 { | |
| 988 Matrix retval; | |
| 989 | |
| 990 int nd = ndims (); | |
| 991 | |
| 992 switch (nd) | |
| 993 { | |
| 994 case 1: | |
| 995 retval = Matrix (Array2<double> (*this, dimensions(0), 1)); | |
| 996 break; | |
| 997 | |
| 998 case 2: | |
| 999 retval = Matrix (Array2<double> (*this, dimensions(0), dimensions(1))); | |
| 1000 break; | |
| 1001 | |
| 1002 default: | |
| 1003 (*current_liboctave_error_handler) | |
| 4770 | 1004 ("invalid conversion of NDArray to Matrix"); |
| 4532 | 1005 break; |
| 1006 } | |
| 1007 | |
| 1008 return retval; | |
| 1009 } | |
| 1010 | |
| 1011 void | |
| 5275 | 1012 NDArray::increment_index (Array<octave_idx_type>& ra_idx, |
| 4532 | 1013 const dim_vector& dimensions, |
| 1014 int start_dimension) | |
| 1015 { | |
| 1016 ::increment_index (ra_idx, dimensions, start_dimension); | |
| 1017 } | |
| 1018 | |
| 5275 | 1019 octave_idx_type |
| 1020 NDArray::compute_index (Array<octave_idx_type>& ra_idx, | |
| 4556 | 1021 const dim_vector& dimensions) |
| 1022 { | |
| 1023 return ::compute_index (ra_idx, dimensions); | |
| 1024 } | |
| 1025 | |
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1026 NDArray |
|
7620
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1027 NDArray::diag (octave_idx_type k) const |
|
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1028 { |
|
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1029 return MArrayN<double>::diag (k); |
|
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1030 } |
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1031 |
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1032 NDArray |
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1033 NDArray::map (dmapper fcn) const |
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1034 { |
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1035 return MArrayN<double>::map<double> (func_ptr (fcn)); |
|
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1036 } |
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1037 |
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1038 ComplexNDArray |
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1039 NDArray::map (cmapper fcn) const |
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1040 { |
|
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1041 return MArrayN<double>::map<Complex> (func_ptr (fcn)); |
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1042 } |
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1043 |
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1044 boolNDArray |
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1045 NDArray::map (bmapper fcn) const |
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1046 { |
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1047 return MArrayN<double>::map<bool> (func_ptr (fcn)); |
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1048 } |
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|
1049 |
| 4687 | 1050 // This contains no information on the array structure !!! |
| 1051 std::ostream& | |
| 1052 operator << (std::ostream& os, const NDArray& a) | |
| 1053 { | |
| 5275 | 1054 octave_idx_type nel = a.nelem (); |
| 4687 | 1055 |
| 5275 | 1056 for (octave_idx_type i = 0; i < nel; i++) |
| 4687 | 1057 { |
| 1058 os << " "; | |
| 1059 octave_write_double (os, a.elem (i)); | |
| 1060 os << "\n"; | |
| 1061 } | |
| 1062 return os; | |
| 1063 } | |
| 1064 | |
| 1065 std::istream& | |
| 1066 operator >> (std::istream& is, NDArray& a) | |
| 1067 { | |
| 5275 | 1068 octave_idx_type nel = a.nelem (); |
| 4687 | 1069 |
| 1070 if (nel < 1 ) | |
| 1071 is.clear (std::ios::badbit); | |
| 1072 else | |
| 1073 { | |
| 1074 double tmp; | |
| 5275 | 1075 for (octave_idx_type i = 0; i < nel; i++) |
| 4687 | 1076 { |
| 1077 tmp = octave_read_double (is); | |
| 1078 if (is) | |
| 1079 a.elem (i) = tmp; | |
| 1080 else | |
| 1081 goto done; | |
| 1082 } | |
| 1083 } | |
| 1084 | |
| 1085 done: | |
| 1086 | |
| 1087 return is; | |
| 1088 } | |
| 1089 | |
| 5775 | 1090 // FIXME -- it would be nice to share code among the min/max |
| 4844 | 1091 // functions below. |
| 1092 | |
| 1093 #define EMPTY_RETURN_CHECK(T) \ | |
| 1094 if (nel == 0) \ | |
| 1095 return T (dv); | |
| 1096 | |
| 1097 NDArray | |
| 1098 min (double d, const NDArray& m) | |
| 1099 { | |
| 1100 dim_vector dv = m.dims (); | |
| 5275 | 1101 octave_idx_type nel = dv.numel (); |
| 4844 | 1102 |
| 1103 EMPTY_RETURN_CHECK (NDArray); | |
| 1104 | |
| 1105 NDArray result (dv); | |
| 1106 | |
| 5275 | 1107 for (octave_idx_type i = 0; i < nel; i++) |
| 4844 | 1108 { |
| 1109 OCTAVE_QUIT; | |
| 1110 result (i) = xmin (d, m (i)); | |
| 1111 } | |
| 1112 | |
| 1113 return result; | |
| 1114 } | |
| 1115 | |
| 1116 NDArray | |
| 1117 min (const NDArray& m, double d) | |
| 1118 { | |
| 1119 dim_vector dv = m.dims (); | |
| 5275 | 1120 octave_idx_type nel = dv.numel (); |
| 4844 | 1121 |
| 1122 EMPTY_RETURN_CHECK (NDArray); | |
| 1123 | |
| 1124 NDArray result (dv); | |
| 1125 | |
| 5275 | 1126 for (octave_idx_type i = 0; i < nel; i++) |
| 4844 | 1127 { |
| 1128 OCTAVE_QUIT; | |
| 1129 result (i) = xmin (d, m (i)); | |
| 1130 } | |
| 1131 | |
| 1132 return result; | |
| 1133 } | |
| 1134 | |
| 1135 NDArray | |
| 1136 min (const NDArray& a, const NDArray& b) | |
| 1137 { | |
| 1138 dim_vector dv = a.dims (); | |
| 5275 | 1139 octave_idx_type nel = dv.numel (); |
| 4844 | 1140 |
| 1141 if (dv != b.dims ()) | |
| 1142 { | |
| 1143 (*current_liboctave_error_handler) | |
| 1144 ("two-arg min expecting args of same size"); | |
| 1145 return NDArray (); | |
| 1146 } | |
| 1147 | |
| 1148 EMPTY_RETURN_CHECK (NDArray); | |
| 1149 | |
| 1150 NDArray result (dv); | |
| 1151 | |
| 5275 | 1152 for (octave_idx_type i = 0; i < nel; i++) |
| 4844 | 1153 { |
| 1154 OCTAVE_QUIT; | |
| 1155 result (i) = xmin (a (i), b (i)); | |
| 1156 } | |
| 1157 | |
| 1158 return result; | |
| 1159 } | |
| 1160 | |
| 1161 NDArray | |
| 1162 max (double d, const NDArray& m) | |
| 1163 { | |
| 1164 dim_vector dv = m.dims (); | |
| 5275 | 1165 octave_idx_type nel = dv.numel (); |
| 4844 | 1166 |
| 1167 EMPTY_RETURN_CHECK (NDArray); | |
| 1168 | |
| 1169 NDArray result (dv); | |
| 1170 | |
| 5275 | 1171 for (octave_idx_type i = 0; i < nel; i++) |
| 4844 | 1172 { |
| 1173 OCTAVE_QUIT; | |
| 1174 result (i) = xmax (d, m (i)); | |
| 1175 } | |
| 1176 | |
| 1177 return result; | |
| 1178 } | |
| 1179 | |
| 1180 NDArray | |
| 1181 max (const NDArray& m, double d) | |
| 1182 { | |
| 1183 dim_vector dv = m.dims (); | |
| 5275 | 1184 octave_idx_type nel = dv.numel (); |
| 4844 | 1185 |
| 1186 EMPTY_RETURN_CHECK (NDArray); | |
| 1187 | |
| 1188 NDArray result (dv); | |
| 1189 | |
| 5275 | 1190 for (octave_idx_type i = 0; i < nel; i++) |
| 4844 | 1191 { |
| 1192 OCTAVE_QUIT; | |
| 1193 result (i) = xmax (d, m (i)); | |
| 1194 } | |
| 1195 | |
| 1196 return result; | |
| 1197 } | |
| 1198 | |
| 1199 NDArray | |
| 1200 max (const NDArray& a, const NDArray& b) | |
| 1201 { | |
| 1202 dim_vector dv = a.dims (); | |
| 5275 | 1203 octave_idx_type nel = dv.numel (); |
| 4844 | 1204 |
| 1205 if (dv != b.dims ()) | |
| 1206 { | |
| 1207 (*current_liboctave_error_handler) | |
| 1208 ("two-arg max expecting args of same size"); | |
| 1209 return NDArray (); | |
| 1210 } | |
| 1211 | |
| 1212 EMPTY_RETURN_CHECK (NDArray); | |
| 1213 | |
| 1214 NDArray result (dv); | |
| 1215 | |
| 5275 | 1216 for (octave_idx_type i = 0; i < nel; i++) |
| 4844 | 1217 { |
| 1218 OCTAVE_QUIT; | |
| 1219 result (i) = xmax (a (i), b (i)); | |
| 1220 } | |
| 1221 | |
| 1222 return result; | |
| 1223 } | |
| 1224 | |
| 4543 | 1225 NDS_CMP_OPS(NDArray, , double, ) |
| 1226 NDS_BOOL_OPS(NDArray, double, 0.0) | |
| 1227 | |
| 1228 SND_CMP_OPS(double, , NDArray, ) | |
| 1229 SND_BOOL_OPS(double, NDArray, 0.0) | |
| 1230 | |
| 1231 NDND_CMP_OPS(NDArray, , NDArray, ) | |
| 1232 NDND_BOOL_OPS(NDArray, NDArray, 0.0) | |
| 1233 | |
| 4513 | 1234 /* |
| 1235 ;;; Local Variables: *** | |
| 1236 ;;; mode: C++ *** | |
| 1237 ;;; End: *** | |
| 1238 */ |