Mercurial > octave-nkf
annotate liboctave/dNDArray.cc @ 8999:dc07bc4157b8
allow empty matrices in stream input operators
| author | Jaroslav Hajek <highegg@gmail.com> |
|---|---|
| date | Fri, 20 Mar 2009 11:39:25 +0100 |
| parents | a48fba01e4ac |
| children | 8145f2255276 |
| rev | line source |
|---|---|
| 4513 | 1 // N-D Array manipulations. |
| 4511 | 2 /* |
| 3 | |
| 8920 | 4 Copyright (C) 1996, 1997, 2003, 2004, 2005, 2006, 2007, 2008, |
| 5 2009 John W. Eaton | |
| 4511 | 6 |
| 7 This file is part of Octave. | |
| 8 | |
| 9 Octave is free software; you can redistribute it and/or modify it | |
| 10 under the terms of the GNU General Public License as published by the | |
| 7016 | 11 Free Software Foundation; either version 3 of the License, or (at your |
| 12 option) any later version. | |
| 4511 | 13 |
| 14 Octave is distributed in the hope that it will be useful, but WITHOUT | |
| 15 ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or | |
| 16 FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License | |
| 17 for more details. | |
| 18 | |
| 19 You should have received a copy of the GNU General Public License | |
| 7016 | 20 along with Octave; see the file COPYING. If not, see |
| 21 <http://www.gnu.org/licenses/>. | |
| 4511 | 22 |
| 23 */ | |
| 24 | |
| 25 #ifdef HAVE_CONFIG_H | |
| 26 #include <config.h> | |
| 27 #endif | |
| 28 | |
| 4634 | 29 #include <cfloat> |
| 5164 | 30 |
| 4780 | 31 #include <vector> |
| 4634 | 32 |
| 4588 | 33 #include "Array-util.h" |
| 4513 | 34 #include "dNDArray.h" |
|
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35 #include "functor.h" |
| 4511 | 36 #include "mx-base.h" |
| 4773 | 37 #include "f77-fcn.h" |
| 4513 | 38 #include "lo-error.h" |
| 4511 | 39 #include "lo-ieee.h" |
| 4634 | 40 #include "lo-mappers.h" |
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41 #include "oct-locbuf.h" |
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42 #include "mx-op-defs.h" |
| 4511 | 43 |
| 4773 | 44 #if defined (HAVE_FFTW3) |
| 45 #include "oct-fftw.h" | |
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46 #endif |
| 4773 | 47 |
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48 NDArray::NDArray (const Array<octave_idx_type>& a, bool zero_based, |
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49 bool negative_to_nan) |
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50 { |
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51 const octave_idx_type *pa = a.fortran_vec (); |
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52 resize (a.dims ()); |
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53 double *ptmp = fortran_vec (); |
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54 if (negative_to_nan) |
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55 { |
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56 double nan_val = lo_ieee_nan_value (); |
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57 |
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58 if (zero_based) |
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59 for (octave_idx_type i = 0; i < a.numel (); i++) |
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60 { |
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61 double val = static_cast<double> |
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62 (pa[i] + static_cast<octave_idx_type> (1)); |
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63 if (val <= 0) |
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64 ptmp[i] = nan_val; |
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65 else |
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66 ptmp[i] = val; |
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67 } |
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68 else |
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69 for (octave_idx_type i = 0; i < a.numel (); i++) |
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70 { |
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71 double val = static_cast<double> (pa[i]); |
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72 if (val <= 0) |
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73 ptmp[i] = nan_val; |
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74 else |
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75 ptmp[i] = val; |
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76 } |
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77 } |
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78 else |
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79 { |
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80 if (zero_based) |
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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> |
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83 (pa[i] + static_cast<octave_idx_type> (1)); |
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84 else |
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85 for (octave_idx_type i = 0; i < a.numel (); i++) |
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86 ptmp[i] = static_cast<double> (pa[i]); |
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87 } |
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88 } |
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89 |
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90 NDArray::NDArray (const charNDArray& a) |
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91 : MArrayN<double> (a.dims ()) |
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92 { |
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93 octave_idx_type n = a.numel (); |
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94 for (octave_idx_type i = 0; i < n; i++) |
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95 xelem (i) = static_cast<unsigned char> (a(i)); |
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96 } |
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97 |
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98 #if defined (HAVE_FFTW3) |
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99 |
| 4773 | 100 ComplexNDArray |
| 101 NDArray::fourier (int dim) const | |
| 102 { | |
| 103 dim_vector dv = dims (); | |
| 104 | |
| 105 if (dim > dv.length () || dim < 0) | |
| 106 return ComplexNDArray (); | |
| 107 | |
| 5275 | 108 octave_idx_type stride = 1; |
| 109 octave_idx_type n = dv(dim); | |
| 4773 | 110 |
| 111 for (int i = 0; i < dim; i++) | |
| 112 stride *= dv(i); | |
| 113 | |
| 5275 | 114 octave_idx_type howmany = numel () / dv (dim); |
| 4773 | 115 howmany = (stride == 1 ? howmany : (howmany > stride ? stride : howmany)); |
| 5275 | 116 octave_idx_type nloop = (stride == 1 ? 1 : numel () / dv (dim) / stride); |
| 117 octave_idx_type dist = (stride == 1 ? n : 1); | |
| 4773 | 118 |
| 119 const double *in (fortran_vec ()); | |
| 120 ComplexNDArray retval (dv); | |
| 121 Complex *out (retval.fortran_vec ()); | |
| 122 | |
| 123 // Need to be careful here about the distance between fft's | |
| 5275 | 124 for (octave_idx_type k = 0; k < nloop; k++) |
| 4773 | 125 octave_fftw::fft (in + k * stride * n, out + k * stride * n, |
| 126 n, howmany, stride, dist); | |
| 127 | |
| 128 return retval; | |
| 129 } | |
| 130 | |
| 131 ComplexNDArray | |
| 4816 | 132 NDArray::ifourier (int dim) const |
| 4773 | 133 { |
| 134 dim_vector dv = dims (); | |
| 135 | |
| 136 if (dim > dv.length () || dim < 0) | |
| 137 return ComplexNDArray (); | |
| 138 | |
| 5275 | 139 octave_idx_type stride = 1; |
| 140 octave_idx_type n = dv(dim); | |
| 4773 | 141 |
| 142 for (int i = 0; i < dim; i++) | |
| 143 stride *= dv(i); | |
| 144 | |
| 5275 | 145 octave_idx_type howmany = numel () / dv (dim); |
| 4773 | 146 howmany = (stride == 1 ? howmany : (howmany > stride ? stride : howmany)); |
| 5275 | 147 octave_idx_type nloop = (stride == 1 ? 1 : numel () / dv (dim) / stride); |
| 148 octave_idx_type dist = (stride == 1 ? n : 1); | |
| 4773 | 149 |
| 150 ComplexNDArray retval (*this); | |
| 151 Complex *out (retval.fortran_vec ()); | |
| 152 | |
| 153 // Need to be careful here about the distance between fft's | |
| 5275 | 154 for (octave_idx_type k = 0; k < nloop; k++) |
| 4773 | 155 octave_fftw::ifft (out + k * stride * n, out + k * stride * n, |
| 156 n, howmany, stride, dist); | |
| 157 | |
| 158 return retval; | |
| 159 } | |
| 160 | |
| 161 ComplexNDArray | |
| 162 NDArray::fourier2d (void) const | |
| 163 { | |
| 164 dim_vector dv = dims(); | |
| 165 if (dv.length () < 2) | |
| 166 return ComplexNDArray (); | |
| 167 | |
| 168 dim_vector dv2(dv(0), dv(1)); | |
| 169 const double *in = fortran_vec (); | |
| 170 ComplexNDArray retval (dv); | |
| 171 Complex *out = retval.fortran_vec (); | |
| 5275 | 172 octave_idx_type howmany = numel() / dv(0) / dv(1); |
| 173 octave_idx_type dist = dv(0) * dv(1); | |
| 4773 | 174 |
| 5275 | 175 for (octave_idx_type i=0; i < howmany; i++) |
| 4773 | 176 octave_fftw::fftNd (in + i*dist, out + i*dist, 2, dv2); |
| 177 | |
| 178 return retval; | |
| 179 } | |
| 180 | |
| 181 ComplexNDArray | |
| 182 NDArray::ifourier2d (void) const | |
| 183 { | |
| 184 dim_vector dv = dims(); | |
| 185 if (dv.length () < 2) | |
| 186 return ComplexNDArray (); | |
| 187 | |
| 188 dim_vector dv2(dv(0), dv(1)); | |
| 189 ComplexNDArray retval (*this); | |
| 190 Complex *out = retval.fortran_vec (); | |
| 5275 | 191 octave_idx_type howmany = numel() / dv(0) / dv(1); |
| 192 octave_idx_type dist = dv(0) * dv(1); | |
| 4773 | 193 |
| 5275 | 194 for (octave_idx_type i=0; i < howmany; i++) |
| 4773 | 195 octave_fftw::ifftNd (out + i*dist, out + i*dist, 2, dv2); |
| 196 | |
| 197 return retval; | |
| 198 } | |
| 199 | |
| 200 ComplexNDArray | |
| 201 NDArray::fourierNd (void) const | |
| 202 { | |
| 203 dim_vector dv = dims (); | |
| 204 int rank = dv.length (); | |
| 205 | |
| 206 const double *in (fortran_vec ()); | |
| 207 ComplexNDArray retval (dv); | |
| 208 Complex *out (retval.fortran_vec ()); | |
| 209 | |
| 210 octave_fftw::fftNd (in, out, rank, dv); | |
| 211 | |
| 212 return retval; | |
| 213 } | |
| 214 | |
| 215 ComplexNDArray | |
| 216 NDArray::ifourierNd (void) const | |
| 217 { | |
| 218 dim_vector dv = dims (); | |
| 219 int rank = dv.length (); | |
| 220 | |
| 221 ComplexNDArray tmp (*this); | |
| 222 Complex *in (tmp.fortran_vec ()); | |
| 223 ComplexNDArray retval (dv); | |
| 224 Complex *out (retval.fortran_vec ()); | |
| 225 | |
| 226 octave_fftw::ifftNd (in, out, rank, dv); | |
| 227 | |
| 228 return retval; | |
| 229 } | |
| 230 | |
| 231 #else | |
| 232 | |
| 233 extern "C" | |
| 234 { | |
| 235 // Note that the original complex fft routines were not written for | |
| 236 // double complex arguments. They have been modified by adding an | |
| 237 // implicit double precision (a-h,o-z) statement at the beginning of | |
| 238 // each subroutine. | |
| 239 | |
| 240 F77_RET_T | |
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241 F77_FUNC (zffti, ZFFTI) (const octave_idx_type&, Complex*); |
| 4773 | 242 |
| 243 F77_RET_T | |
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244 F77_FUNC (zfftf, ZFFTF) (const octave_idx_type&, Complex*, Complex*); |
| 4773 | 245 |
| 246 F77_RET_T | |
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247 F77_FUNC (zfftb, ZFFTB) (const octave_idx_type&, Complex*, Complex*); |
| 4773 | 248 } |
| 249 | |
| 250 ComplexNDArray | |
| 251 NDArray::fourier (int dim) const | |
| 252 { | |
| 253 dim_vector dv = dims (); | |
| 254 | |
| 255 if (dim > dv.length () || dim < 0) | |
| 256 return ComplexNDArray (); | |
| 257 | |
| 258 ComplexNDArray retval (dv); | |
| 5275 | 259 octave_idx_type npts = dv(dim); |
| 260 octave_idx_type nn = 4*npts+15; | |
| 4773 | 261 Array<Complex> wsave (nn); |
| 262 Complex *pwsave = wsave.fortran_vec (); | |
| 263 | |
| 264 OCTAVE_LOCAL_BUFFER (Complex, tmp, npts); | |
| 265 | |
| 5275 | 266 octave_idx_type stride = 1; |
| 4773 | 267 |
| 268 for (int i = 0; i < dim; i++) | |
| 269 stride *= dv(i); | |
| 270 | |
| 5275 | 271 octave_idx_type howmany = numel () / npts; |
| 4773 | 272 howmany = (stride == 1 ? howmany : (howmany > stride ? stride : howmany)); |
| 5275 | 273 octave_idx_type nloop = (stride == 1 ? 1 : numel () / npts / stride); |
| 274 octave_idx_type dist = (stride == 1 ? npts : 1); | |
| 4773 | 275 |
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276 F77_FUNC (zffti, ZFFTI) (npts, pwsave); |
| 4773 | 277 |
| 5275 | 278 for (octave_idx_type k = 0; k < nloop; k++) |
| 4773 | 279 { |
| 5275 | 280 for (octave_idx_type j = 0; j < howmany; j++) |
| 4773 | 281 { |
| 282 OCTAVE_QUIT; | |
| 283 | |
| 5275 | 284 for (octave_idx_type i = 0; i < npts; i++) |
| 4773 | 285 tmp[i] = elem((i + k*npts)*stride + j*dist); |
| 286 | |
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287 F77_FUNC (zfftf, ZFFTF) (npts, tmp, pwsave); |
| 4773 | 288 |
| 5275 | 289 for (octave_idx_type i = 0; i < npts; i++) |
| 4773 | 290 retval ((i + k*npts)*stride + j*dist) = tmp[i]; |
| 291 } | |
| 292 } | |
| 293 | |
| 294 return retval; | |
| 295 } | |
| 296 | |
| 297 ComplexNDArray | |
| 298 NDArray::ifourier (int dim) const | |
| 299 { | |
| 300 dim_vector dv = dims (); | |
| 301 | |
| 302 if (dim > dv.length () || dim < 0) | |
| 303 return ComplexNDArray (); | |
| 304 | |
| 305 ComplexNDArray retval (dv); | |
| 5275 | 306 octave_idx_type npts = dv(dim); |
| 307 octave_idx_type nn = 4*npts+15; | |
| 4773 | 308 Array<Complex> wsave (nn); |
| 309 Complex *pwsave = wsave.fortran_vec (); | |
| 310 | |
| 311 OCTAVE_LOCAL_BUFFER (Complex, tmp, npts); | |
| 312 | |
| 5275 | 313 octave_idx_type stride = 1; |
| 4773 | 314 |
| 315 for (int i = 0; i < dim; i++) | |
| 316 stride *= dv(i); | |
| 317 | |
| 5275 | 318 octave_idx_type howmany = numel () / npts; |
| 4773 | 319 howmany = (stride == 1 ? howmany : (howmany > stride ? stride : howmany)); |
| 5275 | 320 octave_idx_type nloop = (stride == 1 ? 1 : numel () / npts / stride); |
| 321 octave_idx_type dist = (stride == 1 ? npts : 1); | |
| 4773 | 322 |
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323 F77_FUNC (zffti, ZFFTI) (npts, pwsave); |
| 4773 | 324 |
| 5275 | 325 for (octave_idx_type k = 0; k < nloop; k++) |
| 4773 | 326 { |
| 5275 | 327 for (octave_idx_type j = 0; j < howmany; j++) |
| 4773 | 328 { |
| 329 OCTAVE_QUIT; | |
| 330 | |
| 5275 | 331 for (octave_idx_type i = 0; i < npts; i++) |
| 4773 | 332 tmp[i] = elem((i + k*npts)*stride + j*dist); |
| 333 | |
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334 F77_FUNC (zfftb, ZFFTB) (npts, tmp, pwsave); |
| 4773 | 335 |
| 5275 | 336 for (octave_idx_type i = 0; i < npts; i++) |
| 4773 | 337 retval ((i + k*npts)*stride + j*dist) = tmp[i] / |
| 338 static_cast<double> (npts); | |
| 339 } | |
| 340 } | |
| 341 | |
| 342 return retval; | |
| 343 } | |
| 344 | |
| 345 ComplexNDArray | |
| 346 NDArray::fourier2d (void) const | |
| 347 { | |
| 348 dim_vector dv = dims(); | |
| 349 dim_vector dv2 (dv(0), dv(1)); | |
| 350 int rank = 2; | |
| 351 ComplexNDArray retval (*this); | |
| 5275 | 352 octave_idx_type stride = 1; |
| 4773 | 353 |
| 354 for (int i = 0; i < rank; i++) | |
| 355 { | |
| 5275 | 356 octave_idx_type npts = dv2(i); |
| 357 octave_idx_type nn = 4*npts+15; | |
| 4773 | 358 Array<Complex> wsave (nn); |
| 359 Complex *pwsave = wsave.fortran_vec (); | |
| 360 Array<Complex> row (npts); | |
| 361 Complex *prow = row.fortran_vec (); | |
| 362 | |
| 5275 | 363 octave_idx_type howmany = numel () / npts; |
| 4773 | 364 howmany = (stride == 1 ? howmany : |
| 365 (howmany > stride ? stride : howmany)); | |
| 5275 | 366 octave_idx_type nloop = (stride == 1 ? 1 : numel () / npts / stride); |
| 367 octave_idx_type dist = (stride == 1 ? npts : 1); | |
| 4773 | 368 |
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369 F77_FUNC (zffti, ZFFTI) (npts, pwsave); |
| 4773 | 370 |
| 5275 | 371 for (octave_idx_type k = 0; k < nloop; k++) |
| 4773 | 372 { |
| 5275 | 373 for (octave_idx_type j = 0; j < howmany; j++) |
| 4773 | 374 { |
| 375 OCTAVE_QUIT; | |
| 376 | |
| 5275 | 377 for (octave_idx_type l = 0; l < npts; l++) |
| 4773 | 378 prow[l] = retval ((l + k*npts)*stride + j*dist); |
| 379 | |
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380 F77_FUNC (zfftf, ZFFTF) (npts, prow, pwsave); |
| 4773 | 381 |
| 5275 | 382 for (octave_idx_type l = 0; l < npts; l++) |
| 4773 | 383 retval ((l + k*npts)*stride + j*dist) = prow[l]; |
| 384 } | |
| 385 } | |
| 386 | |
| 387 stride *= dv2(i); | |
| 388 } | |
| 389 | |
| 390 return retval; | |
| 391 } | |
| 392 | |
| 393 ComplexNDArray | |
| 394 NDArray::ifourier2d (void) const | |
| 395 { | |
| 396 dim_vector dv = dims(); | |
| 397 dim_vector dv2 (dv(0), dv(1)); | |
| 398 int rank = 2; | |
| 399 ComplexNDArray retval (*this); | |
| 5275 | 400 octave_idx_type stride = 1; |
| 4773 | 401 |
| 402 for (int i = 0; i < rank; i++) | |
| 403 { | |
| 5275 | 404 octave_idx_type npts = dv2(i); |
| 405 octave_idx_type nn = 4*npts+15; | |
| 4773 | 406 Array<Complex> wsave (nn); |
| 407 Complex *pwsave = wsave.fortran_vec (); | |
| 408 Array<Complex> row (npts); | |
| 409 Complex *prow = row.fortran_vec (); | |
| 410 | |
| 5275 | 411 octave_idx_type howmany = numel () / npts; |
| 4773 | 412 howmany = (stride == 1 ? howmany : |
| 413 (howmany > stride ? stride : howmany)); | |
| 5275 | 414 octave_idx_type nloop = (stride == 1 ? 1 : numel () / npts / stride); |
| 415 octave_idx_type dist = (stride == 1 ? npts : 1); | |
| 4773 | 416 |
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417 F77_FUNC (zffti, ZFFTI) (npts, pwsave); |
| 4773 | 418 |
| 5275 | 419 for (octave_idx_type k = 0; k < nloop; k++) |
| 4773 | 420 { |
| 5275 | 421 for (octave_idx_type j = 0; j < howmany; j++) |
| 4773 | 422 { |
| 423 OCTAVE_QUIT; | |
| 424 | |
| 5275 | 425 for (octave_idx_type l = 0; l < npts; l++) |
| 4773 | 426 prow[l] = retval ((l + k*npts)*stride + j*dist); |
| 427 | |
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428 F77_FUNC (zfftb, ZFFTB) (npts, prow, pwsave); |
| 4773 | 429 |
| 5275 | 430 for (octave_idx_type l = 0; l < npts; l++) |
| 4773 | 431 retval ((l + k*npts)*stride + j*dist) = prow[l] / |
| 432 static_cast<double> (npts); | |
| 433 } | |
| 434 } | |
| 435 | |
| 436 stride *= dv2(i); | |
| 437 } | |
| 438 | |
| 439 return retval; | |
| 440 } | |
| 441 | |
| 442 ComplexNDArray | |
| 443 NDArray::fourierNd (void) const | |
| 444 { | |
| 445 dim_vector dv = dims (); | |
| 446 int rank = dv.length (); | |
| 447 ComplexNDArray retval (*this); | |
| 5275 | 448 octave_idx_type stride = 1; |
| 4773 | 449 |
| 450 for (int i = 0; i < rank; i++) | |
| 451 { | |
| 5275 | 452 octave_idx_type npts = dv(i); |
| 453 octave_idx_type nn = 4*npts+15; | |
| 4773 | 454 Array<Complex> wsave (nn); |
| 455 Complex *pwsave = wsave.fortran_vec (); | |
| 456 Array<Complex> row (npts); | |
| 457 Complex *prow = row.fortran_vec (); | |
| 458 | |
| 5275 | 459 octave_idx_type howmany = numel () / npts; |
| 4773 | 460 howmany = (stride == 1 ? howmany : |
| 461 (howmany > stride ? stride : howmany)); | |
| 5275 | 462 octave_idx_type nloop = (stride == 1 ? 1 : numel () / npts / stride); |
| 463 octave_idx_type dist = (stride == 1 ? npts : 1); | |
| 4773 | 464 |
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465 F77_FUNC (zffti, ZFFTI) (npts, pwsave); |
| 4773 | 466 |
| 5275 | 467 for (octave_idx_type k = 0; k < nloop; k++) |
| 4773 | 468 { |
| 5275 | 469 for (octave_idx_type j = 0; j < howmany; j++) |
| 4773 | 470 { |
| 471 OCTAVE_QUIT; | |
| 472 | |
| 5275 | 473 for (octave_idx_type l = 0; l < npts; l++) |
| 4773 | 474 prow[l] = retval ((l + k*npts)*stride + j*dist); |
| 475 | |
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476 F77_FUNC (zfftf, ZFFTF) (npts, prow, pwsave); |
| 4773 | 477 |
| 5275 | 478 for (octave_idx_type l = 0; l < npts; l++) |
| 4773 | 479 retval ((l + k*npts)*stride + j*dist) = prow[l]; |
| 480 } | |
| 481 } | |
| 482 | |
| 483 stride *= dv(i); | |
| 484 } | |
| 485 | |
| 486 return retval; | |
| 487 } | |
| 488 | |
| 489 ComplexNDArray | |
| 490 NDArray::ifourierNd (void) const | |
| 491 { | |
| 492 dim_vector dv = dims (); | |
| 493 int rank = dv.length (); | |
| 494 ComplexNDArray retval (*this); | |
| 5275 | 495 octave_idx_type stride = 1; |
| 4773 | 496 |
| 497 for (int i = 0; i < rank; i++) | |
| 498 { | |
| 5275 | 499 octave_idx_type npts = dv(i); |
| 500 octave_idx_type nn = 4*npts+15; | |
| 4773 | 501 Array<Complex> wsave (nn); |
| 502 Complex *pwsave = wsave.fortran_vec (); | |
| 503 Array<Complex> row (npts); | |
| 504 Complex *prow = row.fortran_vec (); | |
| 505 | |
| 5275 | 506 octave_idx_type howmany = numel () / npts; |
| 4773 | 507 howmany = (stride == 1 ? howmany : |
| 508 (howmany > stride ? stride : howmany)); | |
| 5275 | 509 octave_idx_type nloop = (stride == 1 ? 1 : numel () / npts / stride); |
| 510 octave_idx_type dist = (stride == 1 ? npts : 1); | |
| 4773 | 511 |
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512 F77_FUNC (zffti, ZFFTI) (npts, pwsave); |
| 4773 | 513 |
| 5275 | 514 for (octave_idx_type k = 0; k < nloop; k++) |
| 4773 | 515 { |
| 5275 | 516 for (octave_idx_type j = 0; j < howmany; j++) |
| 4773 | 517 { |
| 518 OCTAVE_QUIT; | |
| 519 | |
| 5275 | 520 for (octave_idx_type l = 0; l < npts; l++) |
| 4773 | 521 prow[l] = retval ((l + k*npts)*stride + j*dist); |
| 522 | |
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523 F77_FUNC (zfftb, ZFFTB) (npts, prow, pwsave); |
| 4773 | 524 |
| 5275 | 525 for (octave_idx_type l = 0; l < npts; l++) |
| 4773 | 526 retval ((l + k*npts)*stride + j*dist) = prow[l] / |
| 527 static_cast<double> (npts); | |
| 528 } | |
| 529 } | |
| 530 | |
| 531 stride *= dv(i); | |
| 532 } | |
| 533 | |
| 534 return retval; | |
| 535 } | |
| 536 | |
| 537 #endif | |
| 538 | |
| 4543 | 539 // unary operations |
| 540 | |
| 541 boolNDArray | |
| 542 NDArray::operator ! (void) const | |
| 543 { | |
| 544 boolNDArray b (dims ()); | |
| 545 | |
| 5275 | 546 for (octave_idx_type i = 0; i < length (); i++) |
| 4543 | 547 b.elem (i) = ! elem (i); |
| 548 | |
| 549 return b; | |
| 550 } | |
| 551 | |
| 4634 | 552 bool |
| 553 NDArray::any_element_is_negative (bool neg_zero) const | |
| 554 { | |
| 5275 | 555 octave_idx_type nel = nelem (); |
| 4634 | 556 |
| 557 if (neg_zero) | |
| 558 { | |
| 5275 | 559 for (octave_idx_type i = 0; i < nel; i++) |
| 4634 | 560 if (lo_ieee_signbit (elem (i))) |
| 561 return true; | |
| 562 } | |
| 563 else | |
| 564 { | |
| 5275 | 565 for (octave_idx_type i = 0; i < nel; i++) |
| 4634 | 566 if (elem (i) < 0) |
| 567 return true; | |
| 568 } | |
| 569 | |
| 570 return false; | |
| 571 } | |
| 572 | |
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573 bool |
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574 NDArray::any_element_is_nan (void) const |
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575 { |
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576 octave_idx_type nel = nelem (); |
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577 |
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578 for (octave_idx_type i = 0; i < nel; i++) |
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579 { |
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580 double val = elem (i); |
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581 if (xisnan (val)) |
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582 return true; |
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583 } |
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584 |
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585 return false; |
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586 } |
| 4634 | 587 |
| 588 bool | |
| 589 NDArray::any_element_is_inf_or_nan (void) const | |
| 590 { | |
| 5275 | 591 octave_idx_type nel = nelem (); |
| 4634 | 592 |
| 5275 | 593 for (octave_idx_type i = 0; i < nel; i++) |
| 4634 | 594 { |
| 595 double val = elem (i); | |
| 596 if (xisinf (val) || xisnan (val)) | |
| 597 return true; | |
| 598 } | |
| 599 | |
| 600 return false; | |
| 601 } | |
| 602 | |
| 603 bool | |
| 5943 | 604 NDArray::any_element_not_one_or_zero (void) const |
| 605 { | |
| 606 octave_idx_type nel = nelem (); | |
| 607 | |
| 608 for (octave_idx_type i = 0; i < nel; i++) | |
| 609 { | |
| 610 double val = elem (i); | |
| 611 if (val != 0 && val != 1) | |
| 612 return true; | |
| 613 } | |
| 614 | |
| 615 return false; | |
| 616 } | |
| 617 | |
| 618 bool | |
| 6989 | 619 NDArray::all_elements_are_zero (void) const |
| 620 { | |
| 621 octave_idx_type nel = nelem (); | |
| 622 | |
| 623 for (octave_idx_type i = 0; i < nel; i++) | |
| 624 if (elem (i) != 0) | |
| 625 return false; | |
| 626 | |
| 627 return true; | |
| 628 } | |
| 629 | |
| 630 bool | |
| 4634 | 631 NDArray::all_elements_are_int_or_inf_or_nan (void) const |
| 632 { | |
| 5275 | 633 octave_idx_type nel = nelem (); |
| 4634 | 634 |
| 5275 | 635 for (octave_idx_type i = 0; i < nel; i++) |
| 4634 | 636 { |
| 637 double val = elem (i); | |
| 638 if (xisnan (val) || D_NINT (val) == val) | |
| 639 continue; | |
| 640 else | |
| 641 return false; | |
| 642 } | |
| 643 | |
| 644 return true; | |
| 645 } | |
| 646 | |
| 647 // Return nonzero if any element of M is not an integer. Also extract | |
| 648 // the largest and smallest values and return them in MAX_VAL and MIN_VAL. | |
| 649 | |
| 650 bool | |
| 651 NDArray::all_integers (double& max_val, double& min_val) const | |
| 652 { | |
| 5275 | 653 octave_idx_type nel = nelem (); |
| 4634 | 654 |
| 655 if (nel > 0) | |
| 656 { | |
| 657 max_val = elem (0); | |
| 658 min_val = elem (0); | |
| 659 } | |
| 660 else | |
| 661 return false; | |
| 662 | |
| 5275 | 663 for (octave_idx_type i = 0; i < nel; i++) |
| 4634 | 664 { |
| 665 double val = elem (i); | |
| 666 | |
| 667 if (val > max_val) | |
| 668 max_val = val; | |
| 669 | |
| 670 if (val < min_val) | |
| 671 min_val = val; | |
| 672 | |
| 673 if (D_NINT (val) != val) | |
| 674 return false; | |
| 675 } | |
| 676 | |
| 677 return true; | |
| 678 } | |
| 679 | |
| 680 bool | |
| 681 NDArray::too_large_for_float (void) const | |
| 682 { | |
| 5275 | 683 octave_idx_type nel = nelem (); |
| 4634 | 684 |
| 5275 | 685 for (octave_idx_type i = 0; i < nel; i++) |
| 4634 | 686 { |
| 687 double val = elem (i); | |
| 688 | |
| 5389 | 689 if (! (xisnan (val) || xisinf (val)) |
| 5387 | 690 && fabs (val) > FLT_MAX) |
| 4634 | 691 return true; |
| 692 } | |
| 693 | |
| 694 return false; | |
| 695 } | |
| 696 | |
| 5775 | 697 // FIXME -- this is not quite the right thing. |
| 4513 | 698 |
| 4556 | 699 boolNDArray |
| 4513 | 700 NDArray::all (int dim) const |
| 701 { | |
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702 return do_mx_red_op<boolNDArray> (*this, dim, mx_inline_all); |
| 4513 | 703 } |
| 704 | |
| 4556 | 705 boolNDArray |
| 4513 | 706 NDArray::any (int dim) const |
| 707 { | |
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708 return do_mx_red_op<boolNDArray> (*this, dim, mx_inline_any); |
| 4569 | 709 } |
| 710 | |
| 4584 | 711 NDArray |
| 4569 | 712 NDArray::cumprod (int dim) const |
| 713 { | |
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714 return do_mx_cum_op<NDArray> (*this, dim, mx_inline_cumprod); |
| 4569 | 715 } |
| 716 | |
| 4584 | 717 NDArray |
| 4569 | 718 NDArray::cumsum (int dim) const |
| 719 { | |
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720 return do_mx_cum_op<NDArray> (*this, dim, mx_inline_cumsum); |
| 4513 | 721 } |
| 722 | |
| 4569 | 723 NDArray |
| 724 NDArray::prod (int dim) const | |
| 725 { | |
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726 return do_mx_red_op<NDArray> (*this, dim, mx_inline_prod); |
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727 } |
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728 |
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729 NDArray |
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730 NDArray::sum (int dim) const |
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731 { |
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732 return do_mx_red_op<NDArray> (*this, dim, mx_inline_sum); |
| 4569 | 733 } |
| 734 | |
| 735 NDArray | |
| 736 NDArray::sumsq (int dim) const | |
| 737 { | |
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738 return do_mx_red_op<NDArray> (*this, dim, mx_inline_sumsq); |
| 4569 | 739 } |
| 740 | |
| 4844 | 741 NDArray |
| 742 NDArray::max (int dim) const | |
| 743 { | |
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744 return do_mx_minmax_op<NDArray> (*this, dim, mx_inline_max); |
| 4844 | 745 } |
| 746 | |
| 747 NDArray | |
| 5275 | 748 NDArray::max (ArrayN<octave_idx_type>& idx_arg, int dim) const |
| 4844 | 749 { |
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changeset
|
750 return do_mx_minmax_op<NDArray> (*this, idx_arg, dim, mx_inline_max); |
| 4844 | 751 } |
| 752 | |
| 753 NDArray | |
| 754 NDArray::min (int dim) const | |
| 755 { | |
|
8751
9f7ce4bf7650
optimize min/max functions
Jaroslav Hajek <highegg@gmail.com>
parents:
8743
diff
changeset
|
756 return do_mx_minmax_op<NDArray> (*this, dim, mx_inline_min); |
| 4844 | 757 } |
| 758 | |
| 759 NDArray | |
| 5275 | 760 NDArray::min (ArrayN<octave_idx_type>& idx_arg, int dim) const |
| 4844 | 761 { |
|
8751
9f7ce4bf7650
optimize min/max functions
Jaroslav Hajek <highegg@gmail.com>
parents:
8743
diff
changeset
|
762 return do_mx_minmax_op<NDArray> (*this, idx_arg, dim, mx_inline_min); |
| 4844 | 763 } |
| 764 | |
| 4915 | 765 NDArray |
|
8777
724c0f46d9d4
implement cummin/cummax functions
Jaroslav Hajek <highegg@gmail.com>
parents:
8774
diff
changeset
|
766 NDArray::cummax (int dim) const |
|
724c0f46d9d4
implement cummin/cummax functions
Jaroslav Hajek <highegg@gmail.com>
parents:
8774
diff
changeset
|
767 { |
|
724c0f46d9d4
implement cummin/cummax functions
Jaroslav Hajek <highegg@gmail.com>
parents:
8774
diff
changeset
|
768 return do_mx_cumminmax_op<NDArray> (*this, dim, mx_inline_cummax); |
|
724c0f46d9d4
implement cummin/cummax functions
Jaroslav Hajek <highegg@gmail.com>
parents:
8774
diff
changeset
|
769 } |
|
724c0f46d9d4
implement cummin/cummax functions
Jaroslav Hajek <highegg@gmail.com>
parents:
8774
diff
changeset
|
770 |
|
724c0f46d9d4
implement cummin/cummax functions
Jaroslav Hajek <highegg@gmail.com>
parents:
8774
diff
changeset
|
771 NDArray |
|
724c0f46d9d4
implement cummin/cummax functions
Jaroslav Hajek <highegg@gmail.com>
parents:
8774
diff
changeset
|
772 NDArray::cummax (ArrayN<octave_idx_type>& idx_arg, int dim) const |
|
724c0f46d9d4
implement cummin/cummax functions
Jaroslav Hajek <highegg@gmail.com>
parents:
8774
diff
changeset
|
773 { |
|
724c0f46d9d4
implement cummin/cummax functions
Jaroslav Hajek <highegg@gmail.com>
parents:
8774
diff
changeset
|
774 return do_mx_cumminmax_op<NDArray> (*this, idx_arg, dim, mx_inline_cummax); |
|
724c0f46d9d4
implement cummin/cummax functions
Jaroslav Hajek <highegg@gmail.com>
parents:
8774
diff
changeset
|
775 } |
|
724c0f46d9d4
implement cummin/cummax functions
Jaroslav Hajek <highegg@gmail.com>
parents:
8774
diff
changeset
|
776 |
|
724c0f46d9d4
implement cummin/cummax functions
Jaroslav Hajek <highegg@gmail.com>
parents:
8774
diff
changeset
|
777 NDArray |
|
724c0f46d9d4
implement cummin/cummax functions
Jaroslav Hajek <highegg@gmail.com>
parents:
8774
diff
changeset
|
778 NDArray::cummin (int dim) const |
|
724c0f46d9d4
implement cummin/cummax functions
Jaroslav Hajek <highegg@gmail.com>
parents:
8774
diff
changeset
|
779 { |
|
724c0f46d9d4
implement cummin/cummax functions
Jaroslav Hajek <highegg@gmail.com>
parents:
8774
diff
changeset
|
780 return do_mx_cumminmax_op<NDArray> (*this, dim, mx_inline_cummin); |
|
724c0f46d9d4
implement cummin/cummax functions
Jaroslav Hajek <highegg@gmail.com>
parents:
8774
diff
changeset
|
781 } |
|
724c0f46d9d4
implement cummin/cummax functions
Jaroslav Hajek <highegg@gmail.com>
parents:
8774
diff
changeset
|
782 |
|
724c0f46d9d4
implement cummin/cummax functions
Jaroslav Hajek <highegg@gmail.com>
parents:
8774
diff
changeset
|
783 NDArray |
|
724c0f46d9d4
implement cummin/cummax functions
Jaroslav Hajek <highegg@gmail.com>
parents:
8774
diff
changeset
|
784 NDArray::cummin (ArrayN<octave_idx_type>& idx_arg, int dim) const |
|
724c0f46d9d4
implement cummin/cummax functions
Jaroslav Hajek <highegg@gmail.com>
parents:
8774
diff
changeset
|
785 { |
|
724c0f46d9d4
implement cummin/cummax functions
Jaroslav Hajek <highegg@gmail.com>
parents:
8774
diff
changeset
|
786 return do_mx_cumminmax_op<NDArray> (*this, idx_arg, dim, mx_inline_cummin); |
|
724c0f46d9d4
implement cummin/cummax functions
Jaroslav Hajek <highegg@gmail.com>
parents:
8774
diff
changeset
|
787 } |
|
724c0f46d9d4
implement cummin/cummax functions
Jaroslav Hajek <highegg@gmail.com>
parents:
8774
diff
changeset
|
788 |
|
724c0f46d9d4
implement cummin/cummax functions
Jaroslav Hajek <highegg@gmail.com>
parents:
8774
diff
changeset
|
789 NDArray |
| 5275 | 790 NDArray::concat (const NDArray& rb, const Array<octave_idx_type>& ra_idx) |
| 4758 | 791 { |
| 5073 | 792 if (rb.numel () > 0) |
| 793 insert (rb, ra_idx); | |
| 794 return *this; | |
| 795 } | |
| 796 | |
| 797 ComplexNDArray | |
| 5275 | 798 NDArray::concat (const ComplexNDArray& rb, const Array<octave_idx_type>& ra_idx) |
| 5073 | 799 { |
| 800 ComplexNDArray retval (*this); | |
| 4940 | 801 if (rb.numel () > 0) |
| 4915 | 802 retval.insert (rb, ra_idx); |
| 803 return retval; | |
| 4758 | 804 } |
| 805 | |
| 5073 | 806 charNDArray |
| 5275 | 807 NDArray::concat (const charNDArray& rb, const Array<octave_idx_type>& ra_idx) |
| 5073 | 808 { |
| 809 charNDArray retval (dims ()); | |
| 5275 | 810 octave_idx_type nel = numel (); |
| 5073 | 811 |
| 5275 | 812 for (octave_idx_type i = 0; i < nel; i++) |
| 5073 | 813 { |
| 814 double d = elem (i); | |
| 815 | |
| 816 if (xisnan (d)) | |
| 817 { | |
| 818 (*current_liboctave_error_handler) | |
| 819 ("invalid conversion from NaN to character"); | |
| 820 return retval; | |
| 821 } | |
| 822 else | |
| 823 { | |
| 5275 | 824 octave_idx_type ival = NINTbig (d); |
| 5073 | 825 |
| 826 if (ival < 0 || ival > UCHAR_MAX) | |
| 5775 | 827 // FIXME -- is there something |
| 5073 | 828 // better we could do? Should we warn the user? |
| 829 ival = 0; | |
| 830 | |
| 831 retval.elem (i) = static_cast<char>(ival); | |
| 832 } | |
| 833 } | |
| 834 | |
| 835 if (rb.numel () == 0) | |
| 836 return retval; | |
| 837 | |
| 838 retval.insert (rb, ra_idx); | |
| 839 return retval; | |
| 840 } | |
| 841 | |
| 4634 | 842 NDArray |
| 843 real (const ComplexNDArray& a) | |
| 844 { | |
|
8650
a1ae2aae903e
abs,real,imag,conj: use code from mx-inlines rather than the generic map
Jaroslav Hajek <highegg@gmail.com>
parents:
8377
diff
changeset
|
845 return NDArray (mx_inline_real_dup (a.data (), a.length ()), |
|
a1ae2aae903e
abs,real,imag,conj: use code from mx-inlines rather than the generic map
Jaroslav Hajek <highegg@gmail.com>
parents:
8377
diff
changeset
|
846 a.dims ()); |
| 4634 | 847 } |
| 848 | |
| 849 NDArray | |
| 850 imag (const ComplexNDArray& a) | |
| 851 { | |
|
8650
a1ae2aae903e
abs,real,imag,conj: use code from mx-inlines rather than the generic map
Jaroslav Hajek <highegg@gmail.com>
parents:
8377
diff
changeset
|
852 return NDArray (mx_inline_imag_dup (a.data (), a.length ()), |
|
a1ae2aae903e
abs,real,imag,conj: use code from mx-inlines rather than the generic map
Jaroslav Hajek <highegg@gmail.com>
parents:
8377
diff
changeset
|
853 a.dims ()); |
| 4634 | 854 } |
| 855 | |
| 4915 | 856 NDArray& |
| 5275 | 857 NDArray::insert (const NDArray& a, octave_idx_type r, octave_idx_type c) |
| 4915 | 858 { |
| 859 Array<double>::insert (a, r, c); | |
| 860 return *this; | |
| 861 } | |
| 862 | |
| 863 NDArray& | |
| 5275 | 864 NDArray::insert (const NDArray& a, const Array<octave_idx_type>& ra_idx) |
| 4915 | 865 { |
| 866 Array<double>::insert (a, ra_idx); | |
| 867 return *this; | |
| 868 } | |
| 869 | |
| 4634 | 870 NDArray |
| 4569 | 871 NDArray::abs (void) const |
| 872 { | |
|
8650
a1ae2aae903e
abs,real,imag,conj: use code from mx-inlines rather than the generic map
Jaroslav Hajek <highegg@gmail.com>
parents:
8377
diff
changeset
|
873 return NDArray (mx_inline_fabs_dup (data (), length ()), |
|
a1ae2aae903e
abs,real,imag,conj: use code from mx-inlines rather than the generic map
Jaroslav Hajek <highegg@gmail.com>
parents:
8377
diff
changeset
|
874 dims ()); |
| 4569 | 875 } |
| 876 | |
|
8998
a48fba01e4ac
optimize isnan/isinf/isfinite mappers
Jaroslav Hajek <highegg@gmail.com>
parents:
8981
diff
changeset
|
877 boolNDArray |
|
a48fba01e4ac
optimize isnan/isinf/isfinite mappers
Jaroslav Hajek <highegg@gmail.com>
parents:
8981
diff
changeset
|
878 NDArray::isnan (void) const |
|
a48fba01e4ac
optimize isnan/isinf/isfinite mappers
Jaroslav Hajek <highegg@gmail.com>
parents:
8981
diff
changeset
|
879 { |
|
a48fba01e4ac
optimize isnan/isinf/isfinite mappers
Jaroslav Hajek <highegg@gmail.com>
parents:
8981
diff
changeset
|
880 return ArrayN<bool> (fastmap<bool> (xisnan)); |
|
a48fba01e4ac
optimize isnan/isinf/isfinite mappers
Jaroslav Hajek <highegg@gmail.com>
parents:
8981
diff
changeset
|
881 } |
|
a48fba01e4ac
optimize isnan/isinf/isfinite mappers
Jaroslav Hajek <highegg@gmail.com>
parents:
8981
diff
changeset
|
882 |
|
a48fba01e4ac
optimize isnan/isinf/isfinite mappers
Jaroslav Hajek <highegg@gmail.com>
parents:
8981
diff
changeset
|
883 boolNDArray |
|
a48fba01e4ac
optimize isnan/isinf/isfinite mappers
Jaroslav Hajek <highegg@gmail.com>
parents:
8981
diff
changeset
|
884 NDArray::isinf (void) const |
|
a48fba01e4ac
optimize isnan/isinf/isfinite mappers
Jaroslav Hajek <highegg@gmail.com>
parents:
8981
diff
changeset
|
885 { |
|
a48fba01e4ac
optimize isnan/isinf/isfinite mappers
Jaroslav Hajek <highegg@gmail.com>
parents:
8981
diff
changeset
|
886 return ArrayN<bool> (fastmap<bool> (xisinf)); |
|
a48fba01e4ac
optimize isnan/isinf/isfinite mappers
Jaroslav Hajek <highegg@gmail.com>
parents:
8981
diff
changeset
|
887 } |
|
a48fba01e4ac
optimize isnan/isinf/isfinite mappers
Jaroslav Hajek <highegg@gmail.com>
parents:
8981
diff
changeset
|
888 |
|
a48fba01e4ac
optimize isnan/isinf/isfinite mappers
Jaroslav Hajek <highegg@gmail.com>
parents:
8981
diff
changeset
|
889 boolNDArray |
|
a48fba01e4ac
optimize isnan/isinf/isfinite mappers
Jaroslav Hajek <highegg@gmail.com>
parents:
8981
diff
changeset
|
890 NDArray::isfinite (void) const |
|
a48fba01e4ac
optimize isnan/isinf/isfinite mappers
Jaroslav Hajek <highegg@gmail.com>
parents:
8981
diff
changeset
|
891 { |
|
a48fba01e4ac
optimize isnan/isinf/isfinite mappers
Jaroslav Hajek <highegg@gmail.com>
parents:
8981
diff
changeset
|
892 return ArrayN<bool> (fastmap<bool> (xfinite)); |
|
a48fba01e4ac
optimize isnan/isinf/isfinite mappers
Jaroslav Hajek <highegg@gmail.com>
parents:
8981
diff
changeset
|
893 } |
|
a48fba01e4ac
optimize isnan/isinf/isfinite mappers
Jaroslav Hajek <highegg@gmail.com>
parents:
8981
diff
changeset
|
894 |
| 4532 | 895 Matrix |
| 896 NDArray::matrix_value (void) const | |
| 897 { | |
| 898 Matrix retval; | |
| 899 | |
|
8981
ed5055b0a476
fix & simplify ndarray->matrix conversions
Jaroslav Hajek <highegg@gmail.com>
parents:
8956
diff
changeset
|
900 if (ndims () == 2) |
|
ed5055b0a476
fix & simplify ndarray->matrix conversions
Jaroslav Hajek <highegg@gmail.com>
parents:
8956
diff
changeset
|
901 retval = Matrix (Array2<double> (*this)); |
|
ed5055b0a476
fix & simplify ndarray->matrix conversions
Jaroslav Hajek <highegg@gmail.com>
parents:
8956
diff
changeset
|
902 else |
|
ed5055b0a476
fix & simplify ndarray->matrix conversions
Jaroslav Hajek <highegg@gmail.com>
parents:
8956
diff
changeset
|
903 (*current_liboctave_error_handler) |
|
ed5055b0a476
fix & simplify ndarray->matrix conversions
Jaroslav Hajek <highegg@gmail.com>
parents:
8956
diff
changeset
|
904 ("invalid conversion of NDArray to Matrix"); |
| 4532 | 905 |
| 906 return retval; | |
| 907 } | |
| 908 | |
| 909 void | |
| 5275 | 910 NDArray::increment_index (Array<octave_idx_type>& ra_idx, |
| 4532 | 911 const dim_vector& dimensions, |
| 912 int start_dimension) | |
| 913 { | |
| 914 ::increment_index (ra_idx, dimensions, start_dimension); | |
| 915 } | |
| 916 | |
| 5275 | 917 octave_idx_type |
| 918 NDArray::compute_index (Array<octave_idx_type>& ra_idx, | |
| 4556 | 919 const dim_vector& dimensions) |
| 920 { | |
| 921 return ::compute_index (ra_idx, dimensions); | |
| 922 } | |
| 923 | |
|
7503
8c32f95c2639
convert mapper functions to new format
David Bateman <dbateman@free.fr>
parents:
7017
diff
changeset
|
924 NDArray |
|
7620
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7600
diff
changeset
|
925 NDArray::diag (octave_idx_type k) const |
|
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7600
diff
changeset
|
926 { |
|
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7600
diff
changeset
|
927 return MArrayN<double>::diag (k); |
|
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7600
diff
changeset
|
928 } |
|
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7600
diff
changeset
|
929 |
|
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7600
diff
changeset
|
930 NDArray |
|
7503
8c32f95c2639
convert mapper functions to new format
David Bateman <dbateman@free.fr>
parents:
7017
diff
changeset
|
931 NDArray::map (dmapper fcn) const |
|
8c32f95c2639
convert mapper functions to new format
David Bateman <dbateman@free.fr>
parents:
7017
diff
changeset
|
932 { |
|
8c32f95c2639
convert mapper functions to new format
David Bateman <dbateman@free.fr>
parents:
7017
diff
changeset
|
933 return MArrayN<double>::map<double> (func_ptr (fcn)); |
|
8c32f95c2639
convert mapper functions to new format
David Bateman <dbateman@free.fr>
parents:
7017
diff
changeset
|
934 } |
|
8c32f95c2639
convert mapper functions to new format
David Bateman <dbateman@free.fr>
parents:
7017
diff
changeset
|
935 |
|
8c32f95c2639
convert mapper functions to new format
David Bateman <dbateman@free.fr>
parents:
7017
diff
changeset
|
936 ComplexNDArray |
|
8c32f95c2639
convert mapper functions to new format
David Bateman <dbateman@free.fr>
parents:
7017
diff
changeset
|
937 NDArray::map (cmapper fcn) const |
|
8c32f95c2639
convert mapper functions to new format
David Bateman <dbateman@free.fr>
parents:
7017
diff
changeset
|
938 { |
|
8c32f95c2639
convert mapper functions to new format
David Bateman <dbateman@free.fr>
parents:
7017
diff
changeset
|
939 return MArrayN<double>::map<Complex> (func_ptr (fcn)); |
|
8c32f95c2639
convert mapper functions to new format
David Bateman <dbateman@free.fr>
parents:
7017
diff
changeset
|
940 } |
|
8c32f95c2639
convert mapper functions to new format
David Bateman <dbateman@free.fr>
parents:
7017
diff
changeset
|
941 |
|
8c32f95c2639
convert mapper functions to new format
David Bateman <dbateman@free.fr>
parents:
7017
diff
changeset
|
942 boolNDArray |
|
8c32f95c2639
convert mapper functions to new format
David Bateman <dbateman@free.fr>
parents:
7017
diff
changeset
|
943 NDArray::map (bmapper fcn) const |
|
8c32f95c2639
convert mapper functions to new format
David Bateman <dbateman@free.fr>
parents:
7017
diff
changeset
|
944 { |
|
8c32f95c2639
convert mapper functions to new format
David Bateman <dbateman@free.fr>
parents:
7017
diff
changeset
|
945 return MArrayN<double>::map<bool> (func_ptr (fcn)); |
|
8c32f95c2639
convert mapper functions to new format
David Bateman <dbateman@free.fr>
parents:
7017
diff
changeset
|
946 } |
|
8c32f95c2639
convert mapper functions to new format
David Bateman <dbateman@free.fr>
parents:
7017
diff
changeset
|
947 |
| 4687 | 948 // This contains no information on the array structure !!! |
| 949 std::ostream& | |
| 950 operator << (std::ostream& os, const NDArray& a) | |
| 951 { | |
| 5275 | 952 octave_idx_type nel = a.nelem (); |
| 4687 | 953 |
| 5275 | 954 for (octave_idx_type i = 0; i < nel; i++) |
| 4687 | 955 { |
| 956 os << " "; | |
| 957 octave_write_double (os, a.elem (i)); | |
| 958 os << "\n"; | |
| 959 } | |
| 960 return os; | |
| 961 } | |
| 962 | |
| 963 std::istream& | |
| 964 operator >> (std::istream& is, NDArray& a) | |
| 965 { | |
| 5275 | 966 octave_idx_type nel = a.nelem (); |
| 4687 | 967 |
|
8999
dc07bc4157b8
allow empty matrices in stream input operators
Jaroslav Hajek <highegg@gmail.com>
parents:
8998
diff
changeset
|
968 if (nel > 0) |
| 4687 | 969 { |
| 970 double tmp; | |
| 5275 | 971 for (octave_idx_type i = 0; i < nel; i++) |
| 4687 | 972 { |
| 973 tmp = octave_read_double (is); | |
| 974 if (is) | |
| 975 a.elem (i) = tmp; | |
| 976 else | |
| 977 goto done; | |
| 978 } | |
| 979 } | |
| 980 | |
| 981 done: | |
| 982 | |
| 983 return is; | |
| 984 } | |
| 985 | |
| 5775 | 986 // FIXME -- it would be nice to share code among the min/max |
| 4844 | 987 // functions below. |
| 988 | |
| 989 #define EMPTY_RETURN_CHECK(T) \ | |
| 990 if (nel == 0) \ | |
| 991 return T (dv); | |
| 992 | |
| 993 NDArray | |
| 994 min (double d, const NDArray& m) | |
| 995 { | |
| 996 dim_vector dv = m.dims (); | |
| 5275 | 997 octave_idx_type nel = dv.numel (); |
| 4844 | 998 |
| 999 EMPTY_RETURN_CHECK (NDArray); | |
| 1000 | |
| 1001 NDArray result (dv); | |
| 1002 | |
| 5275 | 1003 for (octave_idx_type i = 0; i < nel; i++) |
| 4844 | 1004 { |
| 1005 OCTAVE_QUIT; | |
| 1006 result (i) = xmin (d, m (i)); | |
| 1007 } | |
| 1008 | |
| 1009 return result; | |
| 1010 } | |
| 1011 | |
| 1012 NDArray | |
| 1013 min (const NDArray& m, double d) | |
| 1014 { | |
| 1015 dim_vector dv = m.dims (); | |
| 5275 | 1016 octave_idx_type nel = dv.numel (); |
| 4844 | 1017 |
| 1018 EMPTY_RETURN_CHECK (NDArray); | |
| 1019 | |
| 1020 NDArray result (dv); | |
| 1021 | |
| 5275 | 1022 for (octave_idx_type i = 0; i < nel; i++) |
| 4844 | 1023 { |
| 1024 OCTAVE_QUIT; | |
| 1025 result (i) = xmin (d, m (i)); | |
| 1026 } | |
| 1027 | |
| 1028 return result; | |
| 1029 } | |
| 1030 | |
| 1031 NDArray | |
| 1032 min (const NDArray& a, const NDArray& b) | |
| 1033 { | |
| 1034 dim_vector dv = a.dims (); | |
| 5275 | 1035 octave_idx_type nel = dv.numel (); |
| 4844 | 1036 |
| 1037 if (dv != b.dims ()) | |
| 1038 { | |
| 1039 (*current_liboctave_error_handler) | |
| 1040 ("two-arg min expecting args of same size"); | |
| 1041 return NDArray (); | |
| 1042 } | |
| 1043 | |
| 1044 EMPTY_RETURN_CHECK (NDArray); | |
| 1045 | |
| 1046 NDArray result (dv); | |
| 1047 | |
| 5275 | 1048 for (octave_idx_type i = 0; i < nel; i++) |
| 4844 | 1049 { |
| 1050 OCTAVE_QUIT; | |
| 1051 result (i) = xmin (a (i), b (i)); | |
| 1052 } | |
| 1053 | |
| 1054 return result; | |
| 1055 } | |
| 1056 | |
| 1057 NDArray | |
| 1058 max (double d, const NDArray& m) | |
| 1059 { | |
| 1060 dim_vector dv = m.dims (); | |
| 5275 | 1061 octave_idx_type nel = dv.numel (); |
| 4844 | 1062 |
| 1063 EMPTY_RETURN_CHECK (NDArray); | |
| 1064 | |
| 1065 NDArray result (dv); | |
| 1066 | |
| 5275 | 1067 for (octave_idx_type i = 0; i < nel; i++) |
| 4844 | 1068 { |
| 1069 OCTAVE_QUIT; | |
| 1070 result (i) = xmax (d, m (i)); | |
| 1071 } | |
| 1072 | |
| 1073 return result; | |
| 1074 } | |
| 1075 | |
| 1076 NDArray | |
| 1077 max (const NDArray& m, double d) | |
| 1078 { | |
| 1079 dim_vector dv = m.dims (); | |
| 5275 | 1080 octave_idx_type nel = dv.numel (); |
| 4844 | 1081 |
| 1082 EMPTY_RETURN_CHECK (NDArray); | |
| 1083 | |
| 1084 NDArray result (dv); | |
| 1085 | |
| 5275 | 1086 for (octave_idx_type i = 0; i < nel; i++) |
| 4844 | 1087 { |
| 1088 OCTAVE_QUIT; | |
| 1089 result (i) = xmax (d, m (i)); | |
| 1090 } | |
| 1091 | |
| 1092 return result; | |
| 1093 } | |
| 1094 | |
| 1095 NDArray | |
| 1096 max (const NDArray& a, const NDArray& b) | |
| 1097 { | |
| 1098 dim_vector dv = a.dims (); | |
| 5275 | 1099 octave_idx_type nel = dv.numel (); |
| 4844 | 1100 |
| 1101 if (dv != b.dims ()) | |
| 1102 { | |
| 1103 (*current_liboctave_error_handler) | |
| 1104 ("two-arg max expecting args of same size"); | |
| 1105 return NDArray (); | |
| 1106 } | |
| 1107 | |
| 1108 EMPTY_RETURN_CHECK (NDArray); | |
| 1109 | |
| 1110 NDArray result (dv); | |
| 1111 | |
| 5275 | 1112 for (octave_idx_type i = 0; i < nel; i++) |
| 4844 | 1113 { |
| 1114 OCTAVE_QUIT; | |
| 1115 result (i) = xmax (a (i), b (i)); | |
| 1116 } | |
| 1117 | |
| 1118 return result; | |
| 1119 } | |
| 1120 | |
| 4543 | 1121 NDS_CMP_OPS(NDArray, , double, ) |
| 1122 NDS_BOOL_OPS(NDArray, double, 0.0) | |
| 1123 | |
| 1124 SND_CMP_OPS(double, , NDArray, ) | |
| 1125 SND_BOOL_OPS(double, NDArray, 0.0) | |
| 1126 | |
| 1127 NDND_CMP_OPS(NDArray, , NDArray, ) | |
| 1128 NDND_BOOL_OPS(NDArray, NDArray, 0.0) | |
| 1129 | |
| 4513 | 1130 /* |
| 1131 ;;; Local Variables: *** | |
| 1132 ;;; mode: C++ *** | |
| 1133 ;;; End: *** | |
| 1134 */ |