Mercurial > octave-nkf
annotate liboctave/dNDArray.cc @ 9523:0ce82753dd72
more configure changes for libraries
| author | John W. Eaton <jwe@octave.org> |
|---|---|
| date | Thu, 13 Aug 2009 18:20:31 -0400 |
| parents | 9f870f73ab7d |
| children | 3d6a9aea2aea |
| 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 "f77-fcn.h" |
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36 #include "functor.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 "mx-base.h" |
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41 #include "mx-op-defs.h" |
| 4773 | 42 #include "oct-fftw.h" |
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43 #include "oct-locbuf.h" |
| 4773 | 44 |
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45 NDArray::NDArray (const Array<octave_idx_type>& a, bool zero_based, |
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46 bool negative_to_nan) |
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47 { |
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48 const octave_idx_type *pa = a.fortran_vec (); |
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49 resize (a.dims ()); |
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50 double *ptmp = fortran_vec (); |
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51 if (negative_to_nan) |
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52 { |
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53 double nan_val = lo_ieee_nan_value (); |
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54 |
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55 if (zero_based) |
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56 for (octave_idx_type i = 0; i < a.numel (); i++) |
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57 { |
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58 double val = static_cast<double> |
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59 (pa[i] + static_cast<octave_idx_type> (1)); |
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60 if (val <= 0) |
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61 ptmp[i] = nan_val; |
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62 else |
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63 ptmp[i] = val; |
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64 } |
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65 else |
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66 for (octave_idx_type i = 0; i < a.numel (); i++) |
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67 { |
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68 double val = static_cast<double> (pa[i]); |
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69 if (val <= 0) |
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70 ptmp[i] = nan_val; |
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71 else |
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72 ptmp[i] = val; |
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73 } |
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74 } |
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75 else |
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76 { |
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77 if (zero_based) |
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78 for (octave_idx_type i = 0; i < a.numel (); i++) |
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79 ptmp[i] = static_cast<double> |
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80 (pa[i] + static_cast<octave_idx_type> (1)); |
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81 else |
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82 for (octave_idx_type i = 0; i < a.numel (); i++) |
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83 ptmp[i] = static_cast<double> (pa[i]); |
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84 } |
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85 } |
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86 |
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87 NDArray::NDArray (const charNDArray& a) |
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88 : MArrayN<double> (a.dims ()) |
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89 { |
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90 octave_idx_type n = a.numel (); |
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91 for (octave_idx_type i = 0; i < n; i++) |
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92 xelem (i) = static_cast<unsigned char> (a(i)); |
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93 } |
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94 |
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95 #if defined (HAVE_FFTW) |
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96 |
| 4773 | 97 ComplexNDArray |
| 98 NDArray::fourier (int dim) const | |
| 99 { | |
| 100 dim_vector dv = dims (); | |
| 101 | |
| 102 if (dim > dv.length () || dim < 0) | |
| 103 return ComplexNDArray (); | |
| 104 | |
| 5275 | 105 octave_idx_type stride = 1; |
| 106 octave_idx_type n = dv(dim); | |
| 4773 | 107 |
| 108 for (int i = 0; i < dim; i++) | |
| 109 stride *= dv(i); | |
| 110 | |
| 5275 | 111 octave_idx_type howmany = numel () / dv (dim); |
| 4773 | 112 howmany = (stride == 1 ? howmany : (howmany > stride ? stride : howmany)); |
| 5275 | 113 octave_idx_type nloop = (stride == 1 ? 1 : numel () / dv (dim) / stride); |
| 114 octave_idx_type dist = (stride == 1 ? n : 1); | |
| 4773 | 115 |
| 116 const double *in (fortran_vec ()); | |
| 117 ComplexNDArray retval (dv); | |
| 118 Complex *out (retval.fortran_vec ()); | |
| 119 | |
| 120 // Need to be careful here about the distance between fft's | |
| 5275 | 121 for (octave_idx_type k = 0; k < nloop; k++) |
| 4773 | 122 octave_fftw::fft (in + k * stride * n, out + k * stride * n, |
| 123 n, howmany, stride, dist); | |
| 124 | |
| 125 return retval; | |
| 126 } | |
| 127 | |
| 128 ComplexNDArray | |
| 4816 | 129 NDArray::ifourier (int dim) const |
| 4773 | 130 { |
| 131 dim_vector dv = dims (); | |
| 132 | |
| 133 if (dim > dv.length () || dim < 0) | |
| 134 return ComplexNDArray (); | |
| 135 | |
| 5275 | 136 octave_idx_type stride = 1; |
| 137 octave_idx_type n = dv(dim); | |
| 4773 | 138 |
| 139 for (int i = 0; i < dim; i++) | |
| 140 stride *= dv(i); | |
| 141 | |
| 5275 | 142 octave_idx_type howmany = numel () / dv (dim); |
| 4773 | 143 howmany = (stride == 1 ? howmany : (howmany > stride ? stride : howmany)); |
| 5275 | 144 octave_idx_type nloop = (stride == 1 ? 1 : numel () / dv (dim) / stride); |
| 145 octave_idx_type dist = (stride == 1 ? n : 1); | |
| 4773 | 146 |
| 147 ComplexNDArray retval (*this); | |
| 148 Complex *out (retval.fortran_vec ()); | |
| 149 | |
| 150 // Need to be careful here about the distance between fft's | |
| 5275 | 151 for (octave_idx_type k = 0; k < nloop; k++) |
| 4773 | 152 octave_fftw::ifft (out + k * stride * n, out + k * stride * n, |
| 153 n, howmany, stride, dist); | |
| 154 | |
| 155 return retval; | |
| 156 } | |
| 157 | |
| 158 ComplexNDArray | |
| 159 NDArray::fourier2d (void) const | |
| 160 { | |
| 161 dim_vector dv = dims(); | |
| 162 if (dv.length () < 2) | |
| 163 return ComplexNDArray (); | |
| 164 | |
| 165 dim_vector dv2(dv(0), dv(1)); | |
| 166 const double *in = fortran_vec (); | |
| 167 ComplexNDArray retval (dv); | |
| 168 Complex *out = retval.fortran_vec (); | |
| 5275 | 169 octave_idx_type howmany = numel() / dv(0) / dv(1); |
| 170 octave_idx_type dist = dv(0) * dv(1); | |
| 4773 | 171 |
| 5275 | 172 for (octave_idx_type i=0; i < howmany; i++) |
| 4773 | 173 octave_fftw::fftNd (in + i*dist, out + i*dist, 2, dv2); |
| 174 | |
| 175 return retval; | |
| 176 } | |
| 177 | |
| 178 ComplexNDArray | |
| 179 NDArray::ifourier2d (void) const | |
| 180 { | |
| 181 dim_vector dv = dims(); | |
| 182 if (dv.length () < 2) | |
| 183 return ComplexNDArray (); | |
| 184 | |
| 185 dim_vector dv2(dv(0), dv(1)); | |
| 186 ComplexNDArray retval (*this); | |
| 187 Complex *out = retval.fortran_vec (); | |
| 5275 | 188 octave_idx_type howmany = numel() / dv(0) / dv(1); |
| 189 octave_idx_type dist = dv(0) * dv(1); | |
| 4773 | 190 |
| 5275 | 191 for (octave_idx_type i=0; i < howmany; i++) |
| 4773 | 192 octave_fftw::ifftNd (out + i*dist, out + i*dist, 2, dv2); |
| 193 | |
| 194 return retval; | |
| 195 } | |
| 196 | |
| 197 ComplexNDArray | |
| 198 NDArray::fourierNd (void) const | |
| 199 { | |
| 200 dim_vector dv = dims (); | |
| 201 int rank = dv.length (); | |
| 202 | |
| 203 const double *in (fortran_vec ()); | |
| 204 ComplexNDArray retval (dv); | |
| 205 Complex *out (retval.fortran_vec ()); | |
| 206 | |
| 207 octave_fftw::fftNd (in, out, rank, dv); | |
| 208 | |
| 209 return retval; | |
| 210 } | |
| 211 | |
| 212 ComplexNDArray | |
| 213 NDArray::ifourierNd (void) const | |
| 214 { | |
| 215 dim_vector dv = dims (); | |
| 216 int rank = dv.length (); | |
| 217 | |
| 218 ComplexNDArray tmp (*this); | |
| 219 Complex *in (tmp.fortran_vec ()); | |
| 220 ComplexNDArray retval (dv); | |
| 221 Complex *out (retval.fortran_vec ()); | |
| 222 | |
| 223 octave_fftw::ifftNd (in, out, rank, dv); | |
| 224 | |
| 225 return retval; | |
| 226 } | |
| 227 | |
| 228 #else | |
| 229 | |
| 230 extern "C" | |
| 231 { | |
| 232 // Note that the original complex fft routines were not written for | |
| 233 // double complex arguments. They have been modified by adding an | |
| 234 // implicit double precision (a-h,o-z) statement at the beginning of | |
| 235 // each subroutine. | |
| 236 | |
| 237 F77_RET_T | |
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238 F77_FUNC (zffti, ZFFTI) (const octave_idx_type&, Complex*); |
| 4773 | 239 |
| 240 F77_RET_T | |
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241 F77_FUNC (zfftf, ZFFTF) (const octave_idx_type&, Complex*, Complex*); |
| 4773 | 242 |
| 243 F77_RET_T | |
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244 F77_FUNC (zfftb, ZFFTB) (const octave_idx_type&, Complex*, Complex*); |
| 4773 | 245 } |
| 246 | |
| 247 ComplexNDArray | |
| 248 NDArray::fourier (int dim) const | |
| 249 { | |
| 250 dim_vector dv = dims (); | |
| 251 | |
| 252 if (dim > dv.length () || dim < 0) | |
| 253 return ComplexNDArray (); | |
| 254 | |
| 255 ComplexNDArray retval (dv); | |
| 5275 | 256 octave_idx_type npts = dv(dim); |
| 257 octave_idx_type nn = 4*npts+15; | |
| 4773 | 258 Array<Complex> wsave (nn); |
| 259 Complex *pwsave = wsave.fortran_vec (); | |
| 260 | |
| 261 OCTAVE_LOCAL_BUFFER (Complex, tmp, npts); | |
| 262 | |
| 5275 | 263 octave_idx_type stride = 1; |
| 4773 | 264 |
| 265 for (int i = 0; i < dim; i++) | |
| 266 stride *= dv(i); | |
| 267 | |
| 5275 | 268 octave_idx_type howmany = numel () / npts; |
| 4773 | 269 howmany = (stride == 1 ? howmany : (howmany > stride ? stride : howmany)); |
| 5275 | 270 octave_idx_type nloop = (stride == 1 ? 1 : numel () / npts / stride); |
| 271 octave_idx_type dist = (stride == 1 ? npts : 1); | |
| 4773 | 272 |
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273 F77_FUNC (zffti, ZFFTI) (npts, pwsave); |
| 4773 | 274 |
| 5275 | 275 for (octave_idx_type k = 0; k < nloop; k++) |
| 4773 | 276 { |
| 5275 | 277 for (octave_idx_type j = 0; j < howmany; j++) |
| 4773 | 278 { |
| 279 OCTAVE_QUIT; | |
| 280 | |
| 5275 | 281 for (octave_idx_type i = 0; i < npts; i++) |
| 4773 | 282 tmp[i] = elem((i + k*npts)*stride + j*dist); |
| 283 | |
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284 F77_FUNC (zfftf, ZFFTF) (npts, tmp, pwsave); |
| 4773 | 285 |
| 5275 | 286 for (octave_idx_type i = 0; i < npts; i++) |
| 4773 | 287 retval ((i + k*npts)*stride + j*dist) = tmp[i]; |
| 288 } | |
| 289 } | |
| 290 | |
| 291 return retval; | |
| 292 } | |
| 293 | |
| 294 ComplexNDArray | |
| 295 NDArray::ifourier (int dim) const | |
| 296 { | |
| 297 dim_vector dv = dims (); | |
| 298 | |
| 299 if (dim > dv.length () || dim < 0) | |
| 300 return ComplexNDArray (); | |
| 301 | |
| 302 ComplexNDArray retval (dv); | |
| 5275 | 303 octave_idx_type npts = dv(dim); |
| 304 octave_idx_type nn = 4*npts+15; | |
| 4773 | 305 Array<Complex> wsave (nn); |
| 306 Complex *pwsave = wsave.fortran_vec (); | |
| 307 | |
| 308 OCTAVE_LOCAL_BUFFER (Complex, tmp, npts); | |
| 309 | |
| 5275 | 310 octave_idx_type stride = 1; |
| 4773 | 311 |
| 312 for (int i = 0; i < dim; i++) | |
| 313 stride *= dv(i); | |
| 314 | |
| 5275 | 315 octave_idx_type howmany = numel () / npts; |
| 4773 | 316 howmany = (stride == 1 ? howmany : (howmany > stride ? stride : howmany)); |
| 5275 | 317 octave_idx_type nloop = (stride == 1 ? 1 : numel () / npts / stride); |
| 318 octave_idx_type dist = (stride == 1 ? npts : 1); | |
| 4773 | 319 |
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320 F77_FUNC (zffti, ZFFTI) (npts, pwsave); |
| 4773 | 321 |
| 5275 | 322 for (octave_idx_type k = 0; k < nloop; k++) |
| 4773 | 323 { |
| 5275 | 324 for (octave_idx_type j = 0; j < howmany; j++) |
| 4773 | 325 { |
| 326 OCTAVE_QUIT; | |
| 327 | |
| 5275 | 328 for (octave_idx_type i = 0; i < npts; i++) |
| 4773 | 329 tmp[i] = elem((i + k*npts)*stride + j*dist); |
| 330 | |
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331 F77_FUNC (zfftb, ZFFTB) (npts, tmp, pwsave); |
| 4773 | 332 |
| 5275 | 333 for (octave_idx_type i = 0; i < npts; i++) |
| 4773 | 334 retval ((i + k*npts)*stride + j*dist) = tmp[i] / |
| 335 static_cast<double> (npts); | |
| 336 } | |
| 337 } | |
| 338 | |
| 339 return retval; | |
| 340 } | |
| 341 | |
| 342 ComplexNDArray | |
| 343 NDArray::fourier2d (void) const | |
| 344 { | |
| 345 dim_vector dv = dims(); | |
| 346 dim_vector dv2 (dv(0), dv(1)); | |
| 347 int rank = 2; | |
| 348 ComplexNDArray retval (*this); | |
| 5275 | 349 octave_idx_type stride = 1; |
| 4773 | 350 |
| 351 for (int i = 0; i < rank; i++) | |
| 352 { | |
| 5275 | 353 octave_idx_type npts = dv2(i); |
| 354 octave_idx_type nn = 4*npts+15; | |
| 4773 | 355 Array<Complex> wsave (nn); |
| 356 Complex *pwsave = wsave.fortran_vec (); | |
| 357 Array<Complex> row (npts); | |
| 358 Complex *prow = row.fortran_vec (); | |
| 359 | |
| 5275 | 360 octave_idx_type howmany = numel () / npts; |
| 4773 | 361 howmany = (stride == 1 ? howmany : |
| 362 (howmany > stride ? stride : howmany)); | |
| 5275 | 363 octave_idx_type nloop = (stride == 1 ? 1 : numel () / npts / stride); |
| 364 octave_idx_type dist = (stride == 1 ? npts : 1); | |
| 4773 | 365 |
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366 F77_FUNC (zffti, ZFFTI) (npts, pwsave); |
| 4773 | 367 |
| 5275 | 368 for (octave_idx_type k = 0; k < nloop; k++) |
| 4773 | 369 { |
| 5275 | 370 for (octave_idx_type j = 0; j < howmany; j++) |
| 4773 | 371 { |
| 372 OCTAVE_QUIT; | |
| 373 | |
| 5275 | 374 for (octave_idx_type l = 0; l < npts; l++) |
| 4773 | 375 prow[l] = retval ((l + k*npts)*stride + j*dist); |
| 376 | |
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377 F77_FUNC (zfftf, ZFFTF) (npts, prow, pwsave); |
| 4773 | 378 |
| 5275 | 379 for (octave_idx_type l = 0; l < npts; l++) |
| 4773 | 380 retval ((l + k*npts)*stride + j*dist) = prow[l]; |
| 381 } | |
| 382 } | |
| 383 | |
| 384 stride *= dv2(i); | |
| 385 } | |
| 386 | |
| 387 return retval; | |
| 388 } | |
| 389 | |
| 390 ComplexNDArray | |
| 391 NDArray::ifourier2d (void) const | |
| 392 { | |
| 393 dim_vector dv = dims(); | |
| 394 dim_vector dv2 (dv(0), dv(1)); | |
| 395 int rank = 2; | |
| 396 ComplexNDArray retval (*this); | |
| 5275 | 397 octave_idx_type stride = 1; |
| 4773 | 398 |
| 399 for (int i = 0; i < rank; i++) | |
| 400 { | |
| 5275 | 401 octave_idx_type npts = dv2(i); |
| 402 octave_idx_type nn = 4*npts+15; | |
| 4773 | 403 Array<Complex> wsave (nn); |
| 404 Complex *pwsave = wsave.fortran_vec (); | |
| 405 Array<Complex> row (npts); | |
| 406 Complex *prow = row.fortran_vec (); | |
| 407 | |
| 5275 | 408 octave_idx_type howmany = numel () / npts; |
| 4773 | 409 howmany = (stride == 1 ? howmany : |
| 410 (howmany > stride ? stride : howmany)); | |
| 5275 | 411 octave_idx_type nloop = (stride == 1 ? 1 : numel () / npts / stride); |
| 412 octave_idx_type dist = (stride == 1 ? npts : 1); | |
| 4773 | 413 |
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414 F77_FUNC (zffti, ZFFTI) (npts, pwsave); |
| 4773 | 415 |
| 5275 | 416 for (octave_idx_type k = 0; k < nloop; k++) |
| 4773 | 417 { |
| 5275 | 418 for (octave_idx_type j = 0; j < howmany; j++) |
| 4773 | 419 { |
| 420 OCTAVE_QUIT; | |
| 421 | |
| 5275 | 422 for (octave_idx_type l = 0; l < npts; l++) |
| 4773 | 423 prow[l] = retval ((l + k*npts)*stride + j*dist); |
| 424 | |
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425 F77_FUNC (zfftb, ZFFTB) (npts, prow, pwsave); |
| 4773 | 426 |
| 5275 | 427 for (octave_idx_type l = 0; l < npts; l++) |
| 4773 | 428 retval ((l + k*npts)*stride + j*dist) = prow[l] / |
| 429 static_cast<double> (npts); | |
| 430 } | |
| 431 } | |
| 432 | |
| 433 stride *= dv2(i); | |
| 434 } | |
| 435 | |
| 436 return retval; | |
| 437 } | |
| 438 | |
| 439 ComplexNDArray | |
| 440 NDArray::fourierNd (void) const | |
| 441 { | |
| 442 dim_vector dv = dims (); | |
| 443 int rank = dv.length (); | |
| 444 ComplexNDArray retval (*this); | |
| 5275 | 445 octave_idx_type stride = 1; |
| 4773 | 446 |
| 447 for (int i = 0; i < rank; i++) | |
| 448 { | |
| 5275 | 449 octave_idx_type npts = dv(i); |
| 450 octave_idx_type nn = 4*npts+15; | |
| 4773 | 451 Array<Complex> wsave (nn); |
| 452 Complex *pwsave = wsave.fortran_vec (); | |
| 453 Array<Complex> row (npts); | |
| 454 Complex *prow = row.fortran_vec (); | |
| 455 | |
| 5275 | 456 octave_idx_type howmany = numel () / npts; |
| 4773 | 457 howmany = (stride == 1 ? howmany : |
| 458 (howmany > stride ? stride : howmany)); | |
| 5275 | 459 octave_idx_type nloop = (stride == 1 ? 1 : numel () / npts / stride); |
| 460 octave_idx_type dist = (stride == 1 ? npts : 1); | |
| 4773 | 461 |
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462 F77_FUNC (zffti, ZFFTI) (npts, pwsave); |
| 4773 | 463 |
| 5275 | 464 for (octave_idx_type k = 0; k < nloop; k++) |
| 4773 | 465 { |
| 5275 | 466 for (octave_idx_type j = 0; j < howmany; j++) |
| 4773 | 467 { |
| 468 OCTAVE_QUIT; | |
| 469 | |
| 5275 | 470 for (octave_idx_type l = 0; l < npts; l++) |
| 4773 | 471 prow[l] = retval ((l + k*npts)*stride + j*dist); |
| 472 | |
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473 F77_FUNC (zfftf, ZFFTF) (npts, prow, pwsave); |
| 4773 | 474 |
| 5275 | 475 for (octave_idx_type l = 0; l < npts; l++) |
| 4773 | 476 retval ((l + k*npts)*stride + j*dist) = prow[l]; |
| 477 } | |
| 478 } | |
| 479 | |
| 480 stride *= dv(i); | |
| 481 } | |
| 482 | |
| 483 return retval; | |
| 484 } | |
| 485 | |
| 486 ComplexNDArray | |
| 487 NDArray::ifourierNd (void) const | |
| 488 { | |
| 489 dim_vector dv = dims (); | |
| 490 int rank = dv.length (); | |
| 491 ComplexNDArray retval (*this); | |
| 5275 | 492 octave_idx_type stride = 1; |
| 4773 | 493 |
| 494 for (int i = 0; i < rank; i++) | |
| 495 { | |
| 5275 | 496 octave_idx_type npts = dv(i); |
| 497 octave_idx_type nn = 4*npts+15; | |
| 4773 | 498 Array<Complex> wsave (nn); |
| 499 Complex *pwsave = wsave.fortran_vec (); | |
| 500 Array<Complex> row (npts); | |
| 501 Complex *prow = row.fortran_vec (); | |
| 502 | |
| 5275 | 503 octave_idx_type howmany = numel () / npts; |
| 4773 | 504 howmany = (stride == 1 ? howmany : |
| 505 (howmany > stride ? stride : howmany)); | |
| 5275 | 506 octave_idx_type nloop = (stride == 1 ? 1 : numel () / npts / stride); |
| 507 octave_idx_type dist = (stride == 1 ? npts : 1); | |
| 4773 | 508 |
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509 F77_FUNC (zffti, ZFFTI) (npts, pwsave); |
| 4773 | 510 |
| 5275 | 511 for (octave_idx_type k = 0; k < nloop; k++) |
| 4773 | 512 { |
| 5275 | 513 for (octave_idx_type j = 0; j < howmany; j++) |
| 4773 | 514 { |
| 515 OCTAVE_QUIT; | |
| 516 | |
| 5275 | 517 for (octave_idx_type l = 0; l < npts; l++) |
| 4773 | 518 prow[l] = retval ((l + k*npts)*stride + j*dist); |
| 519 | |
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520 F77_FUNC (zfftb, ZFFTB) (npts, prow, pwsave); |
| 4773 | 521 |
| 5275 | 522 for (octave_idx_type l = 0; l < npts; l++) |
| 4773 | 523 retval ((l + k*npts)*stride + j*dist) = prow[l] / |
| 524 static_cast<double> (npts); | |
| 525 } | |
| 526 } | |
| 527 | |
| 528 stride *= dv(i); | |
| 529 } | |
| 530 | |
| 531 return retval; | |
| 532 } | |
| 533 | |
| 534 #endif | |
| 535 | |
| 4543 | 536 // unary operations |
| 537 | |
| 538 boolNDArray | |
| 539 NDArray::operator ! (void) const | |
| 540 { | |
| 541 boolNDArray b (dims ()); | |
| 542 | |
| 5275 | 543 for (octave_idx_type i = 0; i < length (); i++) |
| 4543 | 544 b.elem (i) = ! elem (i); |
| 545 | |
| 546 return b; | |
| 547 } | |
| 548 | |
| 4634 | 549 bool |
| 550 NDArray::any_element_is_negative (bool neg_zero) const | |
| 551 { | |
| 5275 | 552 octave_idx_type nel = nelem (); |
| 4634 | 553 |
| 554 if (neg_zero) | |
| 555 { | |
| 5275 | 556 for (octave_idx_type i = 0; i < nel; i++) |
| 4634 | 557 if (lo_ieee_signbit (elem (i))) |
| 558 return true; | |
| 559 } | |
| 560 else | |
| 561 { | |
| 5275 | 562 for (octave_idx_type i = 0; i < nel; i++) |
| 4634 | 563 if (elem (i) < 0) |
| 564 return true; | |
| 565 } | |
| 566 | |
| 567 return false; | |
| 568 } | |
| 569 | |
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570 bool |
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571 NDArray::any_element_is_nan (void) const |
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572 { |
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573 octave_idx_type nel = nelem (); |
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574 |
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575 for (octave_idx_type i = 0; i < nel; i++) |
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576 { |
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577 double val = elem (i); |
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578 if (xisnan (val)) |
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579 return true; |
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580 } |
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581 |
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582 return false; |
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583 } |
| 4634 | 584 |
| 585 bool | |
| 586 NDArray::any_element_is_inf_or_nan (void) const | |
| 587 { | |
| 5275 | 588 octave_idx_type nel = nelem (); |
| 4634 | 589 |
| 5275 | 590 for (octave_idx_type i = 0; i < nel; i++) |
| 4634 | 591 { |
| 592 double val = elem (i); | |
| 593 if (xisinf (val) || xisnan (val)) | |
| 594 return true; | |
| 595 } | |
| 596 | |
| 597 return false; | |
| 598 } | |
| 599 | |
| 600 bool | |
| 5943 | 601 NDArray::any_element_not_one_or_zero (void) const |
| 602 { | |
| 603 octave_idx_type nel = nelem (); | |
| 604 | |
| 605 for (octave_idx_type i = 0; i < nel; i++) | |
| 606 { | |
| 607 double val = elem (i); | |
| 608 if (val != 0 && val != 1) | |
| 609 return true; | |
| 610 } | |
| 611 | |
| 612 return false; | |
| 613 } | |
| 614 | |
| 615 bool | |
| 6989 | 616 NDArray::all_elements_are_zero (void) const |
| 617 { | |
| 618 octave_idx_type nel = nelem (); | |
| 619 | |
| 620 for (octave_idx_type i = 0; i < nel; i++) | |
| 621 if (elem (i) != 0) | |
| 622 return false; | |
| 623 | |
| 624 return true; | |
| 625 } | |
| 626 | |
| 627 bool | |
| 4634 | 628 NDArray::all_elements_are_int_or_inf_or_nan (void) const |
| 629 { | |
| 5275 | 630 octave_idx_type nel = nelem (); |
| 4634 | 631 |
| 5275 | 632 for (octave_idx_type i = 0; i < nel; i++) |
| 4634 | 633 { |
| 634 double val = elem (i); | |
| 635 if (xisnan (val) || D_NINT (val) == val) | |
| 636 continue; | |
| 637 else | |
| 638 return false; | |
| 639 } | |
| 640 | |
| 641 return true; | |
| 642 } | |
| 643 | |
| 644 // Return nonzero if any element of M is not an integer. Also extract | |
| 645 // the largest and smallest values and return them in MAX_VAL and MIN_VAL. | |
| 646 | |
| 647 bool | |
| 648 NDArray::all_integers (double& max_val, double& min_val) const | |
| 649 { | |
| 5275 | 650 octave_idx_type nel = nelem (); |
| 4634 | 651 |
| 652 if (nel > 0) | |
| 653 { | |
| 654 max_val = elem (0); | |
| 655 min_val = elem (0); | |
| 656 } | |
| 657 else | |
| 658 return false; | |
| 659 | |
| 5275 | 660 for (octave_idx_type i = 0; i < nel; i++) |
| 4634 | 661 { |
| 662 double val = elem (i); | |
| 663 | |
| 664 if (val > max_val) | |
| 665 max_val = val; | |
| 666 | |
| 667 if (val < min_val) | |
| 668 min_val = val; | |
| 669 | |
| 670 if (D_NINT (val) != val) | |
| 671 return false; | |
| 672 } | |
| 673 | |
| 674 return true; | |
| 675 } | |
| 676 | |
| 677 bool | |
| 678 NDArray::too_large_for_float (void) const | |
| 679 { | |
| 5275 | 680 octave_idx_type nel = nelem (); |
| 4634 | 681 |
| 5275 | 682 for (octave_idx_type i = 0; i < nel; i++) |
| 4634 | 683 { |
| 684 double val = elem (i); | |
| 685 | |
| 5389 | 686 if (! (xisnan (val) || xisinf (val)) |
| 5387 | 687 && fabs (val) > FLT_MAX) |
| 4634 | 688 return true; |
| 689 } | |
| 690 | |
| 691 return false; | |
| 692 } | |
| 693 | |
| 5775 | 694 // FIXME -- this is not quite the right thing. |
| 4513 | 695 |
| 4556 | 696 boolNDArray |
| 4513 | 697 NDArray::all (int dim) const |
| 698 { | |
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699 return do_mx_red_op<boolNDArray, double> (*this, dim, mx_inline_all); |
| 4513 | 700 } |
| 701 | |
| 4556 | 702 boolNDArray |
| 4513 | 703 NDArray::any (int dim) const |
| 704 { | |
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705 return do_mx_red_op<boolNDArray, double> (*this, dim, mx_inline_any); |
| 4569 | 706 } |
| 707 | |
| 4584 | 708 NDArray |
| 4569 | 709 NDArray::cumprod (int dim) const |
| 710 { | |
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711 return do_mx_cum_op<NDArray, double> (*this, dim, mx_inline_cumprod); |
| 4569 | 712 } |
| 713 | |
| 4584 | 714 NDArray |
| 4569 | 715 NDArray::cumsum (int dim) const |
| 716 { | |
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717 return do_mx_cum_op<NDArray, double> (*this, dim, mx_inline_cumsum); |
| 4513 | 718 } |
| 719 | |
| 4569 | 720 NDArray |
| 721 NDArray::prod (int dim) const | |
| 722 { | |
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723 return do_mx_red_op<NDArray, double> (*this, dim, mx_inline_prod); |
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724 } |
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725 |
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726 NDArray |
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727 NDArray::sum (int dim) const |
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728 { |
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729 return do_mx_red_op<NDArray, double> (*this, dim, mx_inline_sum); |
| 4569 | 730 } |
| 731 | |
| 732 NDArray | |
| 733 NDArray::sumsq (int dim) const | |
| 734 { | |
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735 return do_mx_red_op<NDArray, double> (*this, dim, mx_inline_sumsq); |
| 4569 | 736 } |
| 737 | |
| 4844 | 738 NDArray |
| 739 NDArray::max (int dim) const | |
| 740 { | |
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741 return do_mx_minmax_op<NDArray> (*this, dim, mx_inline_max); |
| 4844 | 742 } |
| 743 | |
| 744 NDArray | |
| 5275 | 745 NDArray::max (ArrayN<octave_idx_type>& idx_arg, int dim) const |
| 4844 | 746 { |
|
8751
9f7ce4bf7650
optimize min/max functions
Jaroslav Hajek <highegg@gmail.com>
parents:
8743
diff
changeset
|
747 return do_mx_minmax_op<NDArray> (*this, idx_arg, dim, mx_inline_max); |
| 4844 | 748 } |
| 749 | |
| 750 NDArray | |
| 751 NDArray::min (int dim) const | |
| 752 { | |
|
8751
9f7ce4bf7650
optimize min/max functions
Jaroslav Hajek <highegg@gmail.com>
parents:
8743
diff
changeset
|
753 return do_mx_minmax_op<NDArray> (*this, dim, mx_inline_min); |
| 4844 | 754 } |
| 755 | |
| 756 NDArray | |
| 5275 | 757 NDArray::min (ArrayN<octave_idx_type>& idx_arg, int dim) const |
| 4844 | 758 { |
|
8751
9f7ce4bf7650
optimize min/max functions
Jaroslav Hajek <highegg@gmail.com>
parents:
8743
diff
changeset
|
759 return do_mx_minmax_op<NDArray> (*this, idx_arg, dim, mx_inline_min); |
| 4844 | 760 } |
| 761 | |
| 4915 | 762 NDArray |
|
8777
724c0f46d9d4
implement cummin/cummax functions
Jaroslav Hajek <highegg@gmail.com>
parents:
8774
diff
changeset
|
763 NDArray::cummax (int dim) const |
|
724c0f46d9d4
implement cummin/cummax functions
Jaroslav Hajek <highegg@gmail.com>
parents:
8774
diff
changeset
|
764 { |
|
724c0f46d9d4
implement cummin/cummax functions
Jaroslav Hajek <highegg@gmail.com>
parents:
8774
diff
changeset
|
765 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
|
766 } |
|
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 NDArray |
|
724c0f46d9d4
implement cummin/cummax functions
Jaroslav Hajek <highegg@gmail.com>
parents:
8774
diff
changeset
|
769 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
|
770 { |
|
724c0f46d9d4
implement cummin/cummax functions
Jaroslav Hajek <highegg@gmail.com>
parents:
8774
diff
changeset
|
771 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
|
772 } |
|
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 NDArray |
|
724c0f46d9d4
implement cummin/cummax functions
Jaroslav Hajek <highegg@gmail.com>
parents:
8774
diff
changeset
|
775 NDArray::cummin (int dim) const |
|
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 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
|
778 } |
|
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 NDArray |
|
724c0f46d9d4
implement cummin/cummax functions
Jaroslav Hajek <highegg@gmail.com>
parents:
8774
diff
changeset
|
781 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
|
782 { |
|
724c0f46d9d4
implement cummin/cummax functions
Jaroslav Hajek <highegg@gmail.com>
parents:
8774
diff
changeset
|
783 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
|
784 } |
|
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 NDArray |
|
9513
9f870f73ab7d
implement built-in diff
Jaroslav Hajek <highegg@gmail.com>
parents:
9469
diff
changeset
|
787 NDArray::diff (octave_idx_type order, int dim) const |
|
9f870f73ab7d
implement built-in diff
Jaroslav Hajek <highegg@gmail.com>
parents:
9469
diff
changeset
|
788 { |
|
9f870f73ab7d
implement built-in diff
Jaroslav Hajek <highegg@gmail.com>
parents:
9469
diff
changeset
|
789 return do_mx_diff_op<NDArray> (*this, dim, order, mx_inline_diff); |
|
9f870f73ab7d
implement built-in diff
Jaroslav Hajek <highegg@gmail.com>
parents:
9469
diff
changeset
|
790 } |
|
9f870f73ab7d
implement built-in diff
Jaroslav Hajek <highegg@gmail.com>
parents:
9469
diff
changeset
|
791 |
|
9f870f73ab7d
implement built-in diff
Jaroslav Hajek <highegg@gmail.com>
parents:
9469
diff
changeset
|
792 NDArray |
| 5275 | 793 NDArray::concat (const NDArray& rb, const Array<octave_idx_type>& ra_idx) |
| 4758 | 794 { |
| 5073 | 795 if (rb.numel () > 0) |
| 796 insert (rb, ra_idx); | |
| 797 return *this; | |
| 798 } | |
| 799 | |
| 800 ComplexNDArray | |
| 5275 | 801 NDArray::concat (const ComplexNDArray& rb, const Array<octave_idx_type>& ra_idx) |
| 5073 | 802 { |
| 803 ComplexNDArray retval (*this); | |
| 4940 | 804 if (rb.numel () > 0) |
| 4915 | 805 retval.insert (rb, ra_idx); |
| 806 return retval; | |
| 4758 | 807 } |
| 808 | |
| 5073 | 809 charNDArray |
| 5275 | 810 NDArray::concat (const charNDArray& rb, const Array<octave_idx_type>& ra_idx) |
| 5073 | 811 { |
| 812 charNDArray retval (dims ()); | |
| 5275 | 813 octave_idx_type nel = numel (); |
| 5073 | 814 |
| 5275 | 815 for (octave_idx_type i = 0; i < nel; i++) |
| 5073 | 816 { |
| 817 double d = elem (i); | |
| 818 | |
| 819 if (xisnan (d)) | |
| 820 { | |
| 821 (*current_liboctave_error_handler) | |
| 822 ("invalid conversion from NaN to character"); | |
| 823 return retval; | |
| 824 } | |
| 825 else | |
| 826 { | |
| 5275 | 827 octave_idx_type ival = NINTbig (d); |
| 5073 | 828 |
| 829 if (ival < 0 || ival > UCHAR_MAX) | |
| 5775 | 830 // FIXME -- is there something |
| 5073 | 831 // better we could do? Should we warn the user? |
| 832 ival = 0; | |
| 833 | |
| 834 retval.elem (i) = static_cast<char>(ival); | |
| 835 } | |
| 836 } | |
| 837 | |
| 838 if (rb.numel () == 0) | |
| 839 return retval; | |
| 840 | |
| 841 retval.insert (rb, ra_idx); | |
| 842 return retval; | |
| 843 } | |
| 844 | |
| 4634 | 845 NDArray |
| 846 real (const ComplexNDArray& a) | |
| 847 { | |
|
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
|
848 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
|
849 a.dims ()); |
| 4634 | 850 } |
| 851 | |
| 852 NDArray | |
| 853 imag (const ComplexNDArray& a) | |
| 854 { | |
|
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
|
855 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
|
856 a.dims ()); |
| 4634 | 857 } |
| 858 | |
| 4915 | 859 NDArray& |
| 5275 | 860 NDArray::insert (const NDArray& a, octave_idx_type r, octave_idx_type c) |
| 4915 | 861 { |
| 862 Array<double>::insert (a, r, c); | |
| 863 return *this; | |
| 864 } | |
| 865 | |
| 866 NDArray& | |
| 5275 | 867 NDArray::insert (const NDArray& a, const Array<octave_idx_type>& ra_idx) |
| 4915 | 868 { |
| 869 Array<double>::insert (a, ra_idx); | |
| 870 return *this; | |
| 871 } | |
| 872 | |
| 4634 | 873 NDArray |
| 4569 | 874 NDArray::abs (void) const |
| 875 { | |
|
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
|
876 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
|
877 dims ()); |
| 4569 | 878 } |
| 879 | |
|
8998
a48fba01e4ac
optimize isnan/isinf/isfinite mappers
Jaroslav Hajek <highegg@gmail.com>
parents:
8981
diff
changeset
|
880 boolNDArray |
|
a48fba01e4ac
optimize isnan/isinf/isfinite mappers
Jaroslav Hajek <highegg@gmail.com>
parents:
8981
diff
changeset
|
881 NDArray::isnan (void) const |
|
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 return ArrayN<bool> (fastmap<bool> (xisnan)); |
|
a48fba01e4ac
optimize isnan/isinf/isfinite mappers
Jaroslav Hajek <highegg@gmail.com>
parents:
8981
diff
changeset
|
884 } |
|
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 boolNDArray |
|
a48fba01e4ac
optimize isnan/isinf/isfinite mappers
Jaroslav Hajek <highegg@gmail.com>
parents:
8981
diff
changeset
|
887 NDArray::isinf (void) const |
|
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 return ArrayN<bool> (fastmap<bool> (xisinf)); |
|
a48fba01e4ac
optimize isnan/isinf/isfinite mappers
Jaroslav Hajek <highegg@gmail.com>
parents:
8981
diff
changeset
|
890 } |
|
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 boolNDArray |
|
a48fba01e4ac
optimize isnan/isinf/isfinite mappers
Jaroslav Hajek <highegg@gmail.com>
parents:
8981
diff
changeset
|
893 NDArray::isfinite (void) const |
|
a48fba01e4ac
optimize isnan/isinf/isfinite mappers
Jaroslav Hajek <highegg@gmail.com>
parents:
8981
diff
changeset
|
894 { |
|
a48fba01e4ac
optimize isnan/isinf/isfinite mappers
Jaroslav Hajek <highegg@gmail.com>
parents:
8981
diff
changeset
|
895 return ArrayN<bool> (fastmap<bool> (xfinite)); |
|
a48fba01e4ac
optimize isnan/isinf/isfinite mappers
Jaroslav Hajek <highegg@gmail.com>
parents:
8981
diff
changeset
|
896 } |
|
a48fba01e4ac
optimize isnan/isinf/isfinite mappers
Jaroslav Hajek <highegg@gmail.com>
parents:
8981
diff
changeset
|
897 |
| 4532 | 898 Matrix |
| 899 NDArray::matrix_value (void) const | |
| 900 { | |
| 901 Matrix retval; | |
| 902 | |
|
8981
ed5055b0a476
fix & simplify ndarray->matrix conversions
Jaroslav Hajek <highegg@gmail.com>
parents:
8956
diff
changeset
|
903 if (ndims () == 2) |
|
ed5055b0a476
fix & simplify ndarray->matrix conversions
Jaroslav Hajek <highegg@gmail.com>
parents:
8956
diff
changeset
|
904 retval = Matrix (Array2<double> (*this)); |
|
ed5055b0a476
fix & simplify ndarray->matrix conversions
Jaroslav Hajek <highegg@gmail.com>
parents:
8956
diff
changeset
|
905 else |
|
ed5055b0a476
fix & simplify ndarray->matrix conversions
Jaroslav Hajek <highegg@gmail.com>
parents:
8956
diff
changeset
|
906 (*current_liboctave_error_handler) |
|
ed5055b0a476
fix & simplify ndarray->matrix conversions
Jaroslav Hajek <highegg@gmail.com>
parents:
8956
diff
changeset
|
907 ("invalid conversion of NDArray to Matrix"); |
| 4532 | 908 |
| 909 return retval; | |
| 910 } | |
| 911 | |
| 912 void | |
| 5275 | 913 NDArray::increment_index (Array<octave_idx_type>& ra_idx, |
| 4532 | 914 const dim_vector& dimensions, |
| 915 int start_dimension) | |
| 916 { | |
| 917 ::increment_index (ra_idx, dimensions, start_dimension); | |
| 918 } | |
| 919 | |
| 5275 | 920 octave_idx_type |
| 921 NDArray::compute_index (Array<octave_idx_type>& ra_idx, | |
| 4556 | 922 const dim_vector& dimensions) |
| 923 { | |
| 924 return ::compute_index (ra_idx, dimensions); | |
| 925 } | |
| 926 | |
|
7503
8c32f95c2639
convert mapper functions to new format
David Bateman <dbateman@free.fr>
parents:
7017
diff
changeset
|
927 NDArray |
|
7620
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7600
diff
changeset
|
928 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
|
929 { |
|
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7600
diff
changeset
|
930 return MArrayN<double>::diag (k); |
|
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7600
diff
changeset
|
931 } |
|
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7600
diff
changeset
|
932 |
|
36594d5bbe13
Move diag function into the octave_value class
David Bateman <dbateman@free.fr>
parents:
7600
diff
changeset
|
933 NDArray |
|
7503
8c32f95c2639
convert mapper functions to new format
David Bateman <dbateman@free.fr>
parents:
7017
diff
changeset
|
934 NDArray::map (dmapper fcn) const |
|
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 return MArrayN<double>::map<double> (func_ptr (fcn)); |
|
8c32f95c2639
convert mapper functions to new format
David Bateman <dbateman@free.fr>
parents:
7017
diff
changeset
|
937 } |
|
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 ComplexNDArray |
|
8c32f95c2639
convert mapper functions to new format
David Bateman <dbateman@free.fr>
parents:
7017
diff
changeset
|
940 NDArray::map (cmapper fcn) const |
|
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 return MArrayN<double>::map<Complex> (func_ptr (fcn)); |
|
8c32f95c2639
convert mapper functions to new format
David Bateman <dbateman@free.fr>
parents:
7017
diff
changeset
|
943 } |
|
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 boolNDArray |
|
8c32f95c2639
convert mapper functions to new format
David Bateman <dbateman@free.fr>
parents:
7017
diff
changeset
|
946 NDArray::map (bmapper fcn) const |
|
8c32f95c2639
convert mapper functions to new format
David Bateman <dbateman@free.fr>
parents:
7017
diff
changeset
|
947 { |
|
8c32f95c2639
convert mapper functions to new format
David Bateman <dbateman@free.fr>
parents:
7017
diff
changeset
|
948 return MArrayN<double>::map<bool> (func_ptr (fcn)); |
|
8c32f95c2639
convert mapper functions to new format
David Bateman <dbateman@free.fr>
parents:
7017
diff
changeset
|
949 } |
|
8c32f95c2639
convert mapper functions to new format
David Bateman <dbateman@free.fr>
parents:
7017
diff
changeset
|
950 |
| 4687 | 951 // This contains no information on the array structure !!! |
| 952 std::ostream& | |
| 953 operator << (std::ostream& os, const NDArray& a) | |
| 954 { | |
| 5275 | 955 octave_idx_type nel = a.nelem (); |
| 4687 | 956 |
| 5275 | 957 for (octave_idx_type i = 0; i < nel; i++) |
| 4687 | 958 { |
| 959 os << " "; | |
| 960 octave_write_double (os, a.elem (i)); | |
| 961 os << "\n"; | |
| 962 } | |
| 963 return os; | |
| 964 } | |
| 965 | |
| 966 std::istream& | |
| 967 operator >> (std::istream& is, NDArray& a) | |
| 968 { | |
| 5275 | 969 octave_idx_type nel = a.nelem (); |
| 4687 | 970 |
|
8999
dc07bc4157b8
allow empty matrices in stream input operators
Jaroslav Hajek <highegg@gmail.com>
parents:
8998
diff
changeset
|
971 if (nel > 0) |
| 4687 | 972 { |
| 973 double tmp; | |
| 5275 | 974 for (octave_idx_type i = 0; i < nel; i++) |
| 4687 | 975 { |
|
9469
c6edba80dfae
sanity checks for loading sparse matrices
John W. Eaton <jwe@octave.org>
parents:
9227
diff
changeset
|
976 tmp = octave_read_value<double> (is); |
| 4687 | 977 if (is) |
| 978 a.elem (i) = tmp; | |
| 979 else | |
| 980 goto done; | |
| 981 } | |
| 982 } | |
| 983 | |
| 984 done: | |
| 985 | |
| 986 return is; | |
| 987 } | |
| 988 | |
| 5775 | 989 // FIXME -- it would be nice to share code among the min/max |
| 4844 | 990 // functions below. |
| 991 | |
| 992 #define EMPTY_RETURN_CHECK(T) \ | |
| 993 if (nel == 0) \ | |
| 994 return T (dv); | |
| 995 | |
| 996 NDArray | |
| 997 min (double d, const NDArray& m) | |
| 998 { | |
| 999 dim_vector dv = m.dims (); | |
| 5275 | 1000 octave_idx_type nel = dv.numel (); |
| 4844 | 1001 |
| 1002 EMPTY_RETURN_CHECK (NDArray); | |
| 1003 | |
| 1004 NDArray result (dv); | |
| 1005 | |
| 5275 | 1006 for (octave_idx_type i = 0; i < nel; i++) |
| 4844 | 1007 { |
| 1008 OCTAVE_QUIT; | |
| 1009 result (i) = xmin (d, m (i)); | |
| 1010 } | |
| 1011 | |
| 1012 return result; | |
| 1013 } | |
| 1014 | |
| 1015 NDArray | |
| 1016 min (const NDArray& m, double d) | |
| 1017 { | |
| 1018 dim_vector dv = m.dims (); | |
| 5275 | 1019 octave_idx_type nel = dv.numel (); |
| 4844 | 1020 |
| 1021 EMPTY_RETURN_CHECK (NDArray); | |
| 1022 | |
| 1023 NDArray result (dv); | |
| 1024 | |
| 5275 | 1025 for (octave_idx_type i = 0; i < nel; i++) |
| 4844 | 1026 { |
| 1027 OCTAVE_QUIT; | |
| 1028 result (i) = xmin (d, m (i)); | |
| 1029 } | |
| 1030 | |
| 1031 return result; | |
| 1032 } | |
| 1033 | |
| 1034 NDArray | |
| 1035 min (const NDArray& a, const NDArray& b) | |
| 1036 { | |
| 1037 dim_vector dv = a.dims (); | |
| 5275 | 1038 octave_idx_type nel = dv.numel (); |
| 4844 | 1039 |
| 1040 if (dv != b.dims ()) | |
| 1041 { | |
| 1042 (*current_liboctave_error_handler) | |
| 1043 ("two-arg min expecting args of same size"); | |
| 1044 return NDArray (); | |
| 1045 } | |
| 1046 | |
| 1047 EMPTY_RETURN_CHECK (NDArray); | |
| 1048 | |
| 1049 NDArray result (dv); | |
| 1050 | |
| 5275 | 1051 for (octave_idx_type i = 0; i < nel; i++) |
| 4844 | 1052 { |
| 1053 OCTAVE_QUIT; | |
| 1054 result (i) = xmin (a (i), b (i)); | |
| 1055 } | |
| 1056 | |
| 1057 return result; | |
| 1058 } | |
| 1059 | |
| 1060 NDArray | |
| 1061 max (double d, const NDArray& m) | |
| 1062 { | |
| 1063 dim_vector dv = m.dims (); | |
| 5275 | 1064 octave_idx_type nel = dv.numel (); |
| 4844 | 1065 |
| 1066 EMPTY_RETURN_CHECK (NDArray); | |
| 1067 | |
| 1068 NDArray result (dv); | |
| 1069 | |
| 5275 | 1070 for (octave_idx_type i = 0; i < nel; i++) |
| 4844 | 1071 { |
| 1072 OCTAVE_QUIT; | |
| 1073 result (i) = xmax (d, m (i)); | |
| 1074 } | |
| 1075 | |
| 1076 return result; | |
| 1077 } | |
| 1078 | |
| 1079 NDArray | |
| 1080 max (const NDArray& m, double d) | |
| 1081 { | |
| 1082 dim_vector dv = m.dims (); | |
| 5275 | 1083 octave_idx_type nel = dv.numel (); |
| 4844 | 1084 |
| 1085 EMPTY_RETURN_CHECK (NDArray); | |
| 1086 | |
| 1087 NDArray result (dv); | |
| 1088 | |
| 5275 | 1089 for (octave_idx_type i = 0; i < nel; i++) |
| 4844 | 1090 { |
| 1091 OCTAVE_QUIT; | |
| 1092 result (i) = xmax (d, m (i)); | |
| 1093 } | |
| 1094 | |
| 1095 return result; | |
| 1096 } | |
| 1097 | |
| 1098 NDArray | |
| 1099 max (const NDArray& a, const NDArray& b) | |
| 1100 { | |
| 1101 dim_vector dv = a.dims (); | |
| 5275 | 1102 octave_idx_type nel = dv.numel (); |
| 4844 | 1103 |
| 1104 if (dv != b.dims ()) | |
| 1105 { | |
| 1106 (*current_liboctave_error_handler) | |
| 1107 ("two-arg max expecting args of same size"); | |
| 1108 return NDArray (); | |
| 1109 } | |
| 1110 | |
| 1111 EMPTY_RETURN_CHECK (NDArray); | |
| 1112 | |
| 1113 NDArray result (dv); | |
| 1114 | |
| 5275 | 1115 for (octave_idx_type i = 0; i < nel; i++) |
| 4844 | 1116 { |
| 1117 OCTAVE_QUIT; | |
| 1118 result (i) = xmax (a (i), b (i)); | |
| 1119 } | |
| 1120 | |
| 1121 return result; | |
| 1122 } | |
| 1123 | |
| 4543 | 1124 NDS_CMP_OPS(NDArray, , double, ) |
| 1125 NDS_BOOL_OPS(NDArray, double, 0.0) | |
| 1126 | |
| 1127 SND_CMP_OPS(double, , NDArray, ) | |
| 1128 SND_BOOL_OPS(double, NDArray, 0.0) | |
| 1129 | |
| 1130 NDND_CMP_OPS(NDArray, , NDArray, ) | |
| 1131 NDND_BOOL_OPS(NDArray, NDArray, 0.0) | |
| 1132 | |
| 4513 | 1133 /* |
| 1134 ;;; Local Variables: *** | |
| 1135 ;;; mode: C++ *** | |
| 1136 ;;; End: *** | |
| 1137 */ |