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1 // N-D Array manipulations. |
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2 /* |
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3 |
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4 Copyright (C) 1996, 1997 John W. Eaton |
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5 |
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6 This file is part of Octave. |
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7 |
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8 Octave is free software; you can redistribute it and/or modify it |
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9 under the terms of the GNU General Public License as published by the |
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10 Free Software Foundation; either version 2, or (at your option) any |
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11 later version. |
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12 |
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13 Octave is distributed in the hope that it will be useful, but WITHOUT |
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14 ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or |
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15 FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License |
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16 for more details. |
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17 |
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18 You should have received a copy of the GNU General Public License |
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19 along with Octave; see the file COPYING. If not, write to the Free |
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20 Software Foundation, 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA. |
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21 |
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22 */ |
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23 |
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24 #ifdef HAVE_CONFIG_H |
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25 #include <config.h> |
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26 #endif |
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27 |
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28 #include <cfloat> |
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29 #include <vector> |
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30 |
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31 #include "Array-util.h" |
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32 #include "dNDArray.h" |
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33 #include "mx-base.h" |
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34 #include "f77-fcn.h" |
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35 #include "lo-error.h" |
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36 #include "lo-ieee.h" |
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4634
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37 #include "lo-mappers.h" |
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38 |
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39 #if defined (HAVE_FFTW3) |
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40 #include "oct-fftw.h" |
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41 |
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42 ComplexNDArray |
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43 NDArray::fourier (int dim) const |
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44 { |
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45 dim_vector dv = dims (); |
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46 |
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47 if (dim > dv.length () || dim < 0) |
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48 return ComplexNDArray (); |
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49 |
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50 int stride = 1; |
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51 int n = dv(dim); |
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52 |
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53 for (int i = 0; i < dim; i++) |
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54 stride *= dv(i); |
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55 |
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56 int howmany = numel () / dv (dim); |
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57 howmany = (stride == 1 ? howmany : (howmany > stride ? stride : howmany)); |
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58 int nloop = (stride == 1 ? 1 : numel () / dv (dim) / stride); |
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59 int dist = (stride == 1 ? n : 1); |
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60 |
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61 const double *in (fortran_vec ()); |
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62 ComplexNDArray retval (dv); |
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63 Complex *out (retval.fortran_vec ()); |
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64 |
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65 // Need to be careful here about the distance between fft's |
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66 for (int k = 0; k < nloop; k++) |
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67 octave_fftw::fft (in + k * stride * n, out + k * stride * n, |
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68 n, howmany, stride, dist); |
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69 |
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70 return retval; |
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71 } |
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72 |
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73 ComplexNDArray |
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74 NDArray::ifourier (int dim) const |
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75 { |
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76 dim_vector dv = dims (); |
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77 |
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78 if (dim > dv.length () || dim < 0) |
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79 return ComplexNDArray (); |
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80 |
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81 int stride = 1; |
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82 int n = dv(dim); |
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83 |
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84 for (int i = 0; i < dim; i++) |
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85 stride *= dv(i); |
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86 |
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87 int howmany = numel () / dv (dim); |
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88 howmany = (stride == 1 ? howmany : (howmany > stride ? stride : howmany)); |
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89 int nloop = (stride == 1 ? 1 : numel () / dv (dim) / stride); |
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90 int dist = (stride == 1 ? n : 1); |
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91 |
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92 ComplexNDArray retval (*this); |
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93 Complex *out (retval.fortran_vec ()); |
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94 |
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95 // Need to be careful here about the distance between fft's |
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96 for (int k = 0; k < nloop; k++) |
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97 octave_fftw::ifft (out + k * stride * n, out + k * stride * n, |
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98 n, howmany, stride, dist); |
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99 |
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100 return retval; |
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101 } |
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102 |
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103 ComplexNDArray |
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104 NDArray::fourier2d (void) const |
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105 { |
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106 dim_vector dv = dims(); |
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107 if (dv.length () < 2) |
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108 return ComplexNDArray (); |
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109 |
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110 dim_vector dv2(dv(0), dv(1)); |
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111 const double *in = fortran_vec (); |
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112 ComplexNDArray retval (dv); |
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113 Complex *out = retval.fortran_vec (); |
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114 int howmany = numel() / dv(0) / dv(1); |
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115 int dist = dv(0) * dv(1); |
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116 |
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117 for (int i=0; i < howmany; i++) |
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118 octave_fftw::fftNd (in + i*dist, out + i*dist, 2, dv2); |
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119 |
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120 return retval; |
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121 } |
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122 |
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123 ComplexNDArray |
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124 NDArray::ifourier2d (void) const |
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125 { |
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126 dim_vector dv = dims(); |
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127 if (dv.length () < 2) |
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128 return ComplexNDArray (); |
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129 |
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130 dim_vector dv2(dv(0), dv(1)); |
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131 ComplexNDArray retval (*this); |
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132 Complex *out = retval.fortran_vec (); |
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133 int howmany = numel() / dv(0) / dv(1); |
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134 int dist = dv(0) * dv(1); |
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135 |
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136 for (int i=0; i < howmany; i++) |
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137 octave_fftw::ifftNd (out + i*dist, out + i*dist, 2, dv2); |
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138 |
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139 return retval; |
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140 } |
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141 |
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142 ComplexNDArray |
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143 NDArray::fourierNd (void) const |
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144 { |
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145 dim_vector dv = dims (); |
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146 int rank = dv.length (); |
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147 |
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148 const double *in (fortran_vec ()); |
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149 ComplexNDArray retval (dv); |
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150 Complex *out (retval.fortran_vec ()); |
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151 |
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152 octave_fftw::fftNd (in, out, rank, dv); |
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153 |
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154 return retval; |
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155 } |
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156 |
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157 ComplexNDArray |
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158 NDArray::ifourierNd (void) const |
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159 { |
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160 dim_vector dv = dims (); |
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161 int rank = dv.length (); |
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162 |
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163 ComplexNDArray tmp (*this); |
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164 Complex *in (tmp.fortran_vec ()); |
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165 ComplexNDArray retval (dv); |
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166 Complex *out (retval.fortran_vec ()); |
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167 |
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168 octave_fftw::ifftNd (in, out, rank, dv); |
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169 |
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170 return retval; |
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171 } |
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172 |
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173 #else |
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174 |
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175 extern "C" |
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176 { |
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177 // Note that the original complex fft routines were not written for |
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178 // double complex arguments. They have been modified by adding an |
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179 // implicit double precision (a-h,o-z) statement at the beginning of |
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180 // each subroutine. |
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181 |
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182 F77_RET_T |
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183 F77_FUNC (cffti, CFFTI) (const int&, Complex*); |
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184 |
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185 F77_RET_T |
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186 F77_FUNC (cfftf, CFFTF) (const int&, Complex*, Complex*); |
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187 |
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188 F77_RET_T |
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189 F77_FUNC (cfftb, CFFTB) (const int&, Complex*, Complex*); |
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190 } |
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191 |
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192 ComplexNDArray |
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193 NDArray::fourier (int dim) const |
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194 { |
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195 dim_vector dv = dims (); |
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196 |
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197 if (dim > dv.length () || dim < 0) |
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198 return ComplexNDArray (); |
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199 |
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200 ComplexNDArray retval (dv); |
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201 int npts = dv(dim); |
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202 int nn = 4*npts+15; |
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203 Array<Complex> wsave (nn); |
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204 Complex *pwsave = wsave.fortran_vec (); |
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205 |
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206 OCTAVE_LOCAL_BUFFER (Complex, tmp, npts); |
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207 |
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208 int stride = 1; |
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209 |
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210 for (int i = 0; i < dim; i++) |
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211 stride *= dv(i); |
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212 |
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213 int howmany = numel () / npts; |
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214 howmany = (stride == 1 ? howmany : (howmany > stride ? stride : howmany)); |
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215 int nloop = (stride == 1 ? 1 : numel () / npts / stride); |
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216 int dist = (stride == 1 ? npts : 1); |
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217 |
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218 F77_FUNC (cffti, CFFTI) (npts, pwsave); |
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219 |
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220 for (int k = 0; k < nloop; k++) |
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221 { |
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222 for (int j = 0; j < howmany; j++) |
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223 { |
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224 OCTAVE_QUIT; |
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225 |
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226 for (int i = 0; i < npts; i++) |
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227 tmp[i] = elem((i + k*npts)*stride + j*dist); |
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228 |
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229 F77_FUNC (cfftf, CFFTF) (npts, tmp, pwsave); |
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230 |
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231 for (int i = 0; i < npts; i++) |
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232 retval ((i + k*npts)*stride + j*dist) = tmp[i]; |
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233 } |
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234 } |
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235 |
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236 return retval; |
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237 } |
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238 |
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239 ComplexNDArray |
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240 NDArray::ifourier (int dim) const |
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241 { |
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242 dim_vector dv = dims (); |
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243 |
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244 if (dim > dv.length () || dim < 0) |
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245 return ComplexNDArray (); |
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246 |
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247 ComplexNDArray retval (dv); |
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248 int npts = dv(dim); |
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249 int nn = 4*npts+15; |
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250 Array<Complex> wsave (nn); |
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251 Complex *pwsave = wsave.fortran_vec (); |
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252 |
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253 OCTAVE_LOCAL_BUFFER (Complex, tmp, npts); |
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254 |
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255 int stride = 1; |
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256 |
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257 for (int i = 0; i < dim; i++) |
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258 stride *= dv(i); |
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259 |
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260 int howmany = numel () / npts; |
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261 howmany = (stride == 1 ? howmany : (howmany > stride ? stride : howmany)); |
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262 int nloop = (stride == 1 ? 1 : numel () / npts / stride); |
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263 int dist = (stride == 1 ? npts : 1); |
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264 |
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265 F77_FUNC (cffti, CFFTI) (npts, pwsave); |
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266 |
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267 for (int k = 0; k < nloop; k++) |
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268 { |
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269 for (int j = 0; j < howmany; j++) |
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270 { |
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271 OCTAVE_QUIT; |
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272 |
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273 for (int i = 0; i < npts; i++) |
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274 tmp[i] = elem((i + k*npts)*stride + j*dist); |
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275 |
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276 F77_FUNC (cfftb, CFFTB) (npts, tmp, pwsave); |
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277 |
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278 for (int i = 0; i < npts; i++) |
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279 retval ((i + k*npts)*stride + j*dist) = tmp[i] / |
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280 static_cast<double> (npts); |
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281 } |
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282 } |
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283 |
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284 return retval; |
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285 } |
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286 |
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287 ComplexNDArray |
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288 NDArray::fourier2d (void) const |
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289 { |
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290 dim_vector dv = dims(); |
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291 dim_vector dv2 (dv(0), dv(1)); |
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292 int rank = 2; |
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293 ComplexNDArray retval (*this); |
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294 int stride = 1; |
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295 |
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296 for (int i = 0; i < rank; i++) |
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297 { |
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298 int npts = dv2(i); |
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299 int nn = 4*npts+15; |
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300 Array<Complex> wsave (nn); |
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301 Complex *pwsave = wsave.fortran_vec (); |
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302 Array<Complex> row (npts); |
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303 Complex *prow = row.fortran_vec (); |
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304 |
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305 int howmany = numel () / npts; |
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306 howmany = (stride == 1 ? howmany : |
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307 (howmany > stride ? stride : howmany)); |
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308 int nloop = (stride == 1 ? 1 : numel () / npts / stride); |
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309 int dist = (stride == 1 ? npts : 1); |
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310 |
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311 F77_FUNC (cffti, CFFTI) (npts, pwsave); |
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312 |
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313 for (int k = 0; k < nloop; k++) |
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314 { |
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315 for (int j = 0; j < howmany; j++) |
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316 { |
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317 OCTAVE_QUIT; |
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318 |
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319 for (int l = 0; l < npts; l++) |
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320 prow[l] = retval ((l + k*npts)*stride + j*dist); |
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321 |
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322 F77_FUNC (cfftf, CFFTF) (npts, prow, pwsave); |
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323 |
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324 for (int l = 0; l < npts; l++) |
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325 retval ((l + k*npts)*stride + j*dist) = prow[l]; |
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326 } |
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327 } |
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328 |
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329 stride *= dv2(i); |
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330 } |
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331 |
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332 return retval; |
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333 } |
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334 |
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335 ComplexNDArray |
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336 NDArray::ifourier2d (void) const |
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337 { |
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338 dim_vector dv = dims(); |
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339 dim_vector dv2 (dv(0), dv(1)); |
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340 int rank = 2; |
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341 ComplexNDArray retval (*this); |
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342 int stride = 1; |
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343 |
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344 for (int i = 0; i < rank; i++) |
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345 { |
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346 int npts = dv2(i); |
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347 int nn = 4*npts+15; |
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348 Array<Complex> wsave (nn); |
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349 Complex *pwsave = wsave.fortran_vec (); |
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350 Array<Complex> row (npts); |
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351 Complex *prow = row.fortran_vec (); |
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352 |
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353 int howmany = numel () / npts; |
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354 howmany = (stride == 1 ? howmany : |
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355 (howmany > stride ? stride : howmany)); |
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356 int nloop = (stride == 1 ? 1 : numel () / npts / stride); |
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357 int dist = (stride == 1 ? npts : 1); |
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358 |
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359 F77_FUNC (cffti, CFFTI) (npts, pwsave); |
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360 |
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361 for (int k = 0; k < nloop; k++) |
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362 { |
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363 for (int j = 0; j < howmany; j++) |
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364 { |
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365 OCTAVE_QUIT; |
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366 |
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367 for (int l = 0; l < npts; l++) |
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368 prow[l] = retval ((l + k*npts)*stride + j*dist); |
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369 |
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370 F77_FUNC (cfftb, CFFTB) (npts, prow, pwsave); |
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371 |
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372 for (int l = 0; l < npts; l++) |
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373 retval ((l + k*npts)*stride + j*dist) = prow[l] / |
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374 static_cast<double> (npts); |
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375 } |
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376 } |
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377 |
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378 stride *= dv2(i); |
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379 } |
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380 |
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381 return retval; |
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382 } |
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383 |
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384 ComplexNDArray |
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385 NDArray::fourierNd (void) const |
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386 { |
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387 dim_vector dv = dims (); |
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388 int rank = dv.length (); |
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389 ComplexNDArray retval (*this); |
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390 int stride = 1; |
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391 |
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392 for (int i = 0; i < rank; i++) |
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393 { |
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394 int npts = dv(i); |
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395 int nn = 4*npts+15; |
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396 Array<Complex> wsave (nn); |
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397 Complex *pwsave = wsave.fortran_vec (); |
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398 Array<Complex> row (npts); |
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399 Complex *prow = row.fortran_vec (); |
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400 |
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401 int howmany = numel () / npts; |
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402 howmany = (stride == 1 ? howmany : |
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403 (howmany > stride ? stride : howmany)); |
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404 int nloop = (stride == 1 ? 1 : numel () / npts / stride); |
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405 int dist = (stride == 1 ? npts : 1); |
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406 |
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407 F77_FUNC (cffti, CFFTI) (npts, pwsave); |
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408 |
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409 for (int k = 0; k < nloop; k++) |
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410 { |
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411 for (int j = 0; j < howmany; j++) |
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412 { |
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413 OCTAVE_QUIT; |
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414 |
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415 for (int l = 0; l < npts; l++) |
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416 prow[l] = retval ((l + k*npts)*stride + j*dist); |
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417 |
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418 F77_FUNC (cfftf, CFFTF) (npts, prow, pwsave); |
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419 |
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420 for (int l = 0; l < npts; l++) |
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421 retval ((l + k*npts)*stride + j*dist) = prow[l]; |
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422 } |
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423 } |
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424 |
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425 stride *= dv(i); |
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426 } |
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427 |
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428 return retval; |
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429 } |
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430 |
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431 ComplexNDArray |
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432 NDArray::ifourierNd (void) const |
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433 { |
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434 dim_vector dv = dims (); |
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435 int rank = dv.length (); |
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436 ComplexNDArray retval (*this); |
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437 int stride = 1; |
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438 |
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439 for (int i = 0; i < rank; i++) |
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440 { |
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441 int npts = dv(i); |
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442 int nn = 4*npts+15; |
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443 Array<Complex> wsave (nn); |
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444 Complex *pwsave = wsave.fortran_vec (); |
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445 Array<Complex> row (npts); |
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446 Complex *prow = row.fortran_vec (); |
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447 |
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448 int howmany = numel () / npts; |
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449 howmany = (stride == 1 ? howmany : |
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450 (howmany > stride ? stride : howmany)); |
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451 int nloop = (stride == 1 ? 1 : numel () / npts / stride); |
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452 int dist = (stride == 1 ? npts : 1); |
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453 |
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454 F77_FUNC (cffti, CFFTI) (npts, pwsave); |
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455 |
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456 for (int k = 0; k < nloop; k++) |
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457 { |
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458 for (int j = 0; j < howmany; j++) |
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459 { |
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460 OCTAVE_QUIT; |
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461 |
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462 for (int l = 0; l < npts; l++) |
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463 prow[l] = retval ((l + k*npts)*stride + j*dist); |
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464 |
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465 F77_FUNC (cfftb, CFFTB) (npts, prow, pwsave); |
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466 |
|
|
467 for (int l = 0; l < npts; l++) |
|
|
468 retval ((l + k*npts)*stride + j*dist) = prow[l] / |
|
|
469 static_cast<double> (npts); |
|
|
470 } |
|
|
471 } |
|
|
472 |
|
|
473 stride *= dv(i); |
|
|
474 } |
|
|
475 |
|
|
476 return retval; |
|
|
477 } |
|
|
478 |
|
|
479 #endif |
|
|
480 |
|
4543
|
481 // unary operations |
|
|
482 |
|
|
483 boolNDArray |
|
|
484 NDArray::operator ! (void) const |
|
|
485 { |
|
|
486 boolNDArray b (dims ()); |
|
|
487 |
|
|
488 for (int i = 0; i < length (); i++) |
|
|
489 b.elem (i) = ! elem (i); |
|
|
490 |
|
|
491 return b; |
|
|
492 } |
|
|
493 |
|
4634
|
494 bool |
|
|
495 NDArray::any_element_is_negative (bool neg_zero) const |
|
|
496 { |
|
|
497 int nel = nelem (); |
|
|
498 |
|
|
499 if (neg_zero) |
|
|
500 { |
|
|
501 for (int i = 0; i < nel; i++) |
|
|
502 if (lo_ieee_signbit (elem (i))) |
|
|
503 return true; |
|
|
504 } |
|
|
505 else |
|
|
506 { |
|
|
507 for (int i = 0; i < nel; i++) |
|
|
508 if (elem (i) < 0) |
|
|
509 return true; |
|
|
510 } |
|
|
511 |
|
|
512 return false; |
|
|
513 } |
|
|
514 |
|
|
515 |
|
|
516 bool |
|
|
517 NDArray::any_element_is_inf_or_nan (void) const |
|
|
518 { |
|
|
519 int nel = nelem (); |
|
|
520 |
|
|
521 for (int i = 0; i < nel; i++) |
|
|
522 { |
|
|
523 double val = elem (i); |
|
|
524 if (xisinf (val) || xisnan (val)) |
|
|
525 return true; |
|
|
526 } |
|
|
527 |
|
|
528 return false; |
|
|
529 } |
|
|
530 |
|
|
531 bool |
|
|
532 NDArray::all_elements_are_int_or_inf_or_nan (void) const |
|
|
533 { |
|
|
534 int nel = nelem (); |
|
|
535 |
|
|
536 for (int i = 0; i < nel; i++) |
|
|
537 { |
|
|
538 double val = elem (i); |
|
|
539 if (xisnan (val) || D_NINT (val) == val) |
|
|
540 continue; |
|
|
541 else |
|
|
542 return false; |
|
|
543 } |
|
|
544 |
|
|
545 return true; |
|
|
546 } |
|
|
547 |
|
|
548 // Return nonzero if any element of M is not an integer. Also extract |
|
|
549 // the largest and smallest values and return them in MAX_VAL and MIN_VAL. |
|
|
550 |
|
|
551 bool |
|
|
552 NDArray::all_integers (double& max_val, double& min_val) const |
|
|
553 { |
|
|
554 int nel = nelem (); |
|
|
555 |
|
|
556 if (nel > 0) |
|
|
557 { |
|
|
558 max_val = elem (0); |
|
|
559 min_val = elem (0); |
|
|
560 } |
|
|
561 else |
|
|
562 return false; |
|
|
563 |
|
|
564 for (int i = 0; i < nel; i++) |
|
|
565 { |
|
|
566 double val = elem (i); |
|
|
567 |
|
|
568 if (val > max_val) |
|
|
569 max_val = val; |
|
|
570 |
|
|
571 if (val < min_val) |
|
|
572 min_val = val; |
|
|
573 |
|
|
574 if (D_NINT (val) != val) |
|
|
575 return false; |
|
|
576 } |
|
|
577 |
|
|
578 return true; |
|
|
579 } |
|
|
580 |
|
|
581 bool |
|
|
582 NDArray::too_large_for_float (void) const |
|
|
583 { |
|
|
584 int nel = nelem (); |
|
|
585 |
|
|
586 for (int i = 0; i < nel; i++) |
|
|
587 { |
|
|
588 double val = elem (i); |
|
|
589 |
|
|
590 if (val > FLT_MAX || val < FLT_MIN) |
|
|
591 return true; |
|
|
592 } |
|
|
593 |
|
|
594 return false; |
|
|
595 } |
|
|
596 |
|
4513
|
597 // XXX FIXME XXX -- this is not quite the right thing. |
|
|
598 |
|
4556
|
599 boolNDArray |
|
4513
|
600 NDArray::all (int dim) const |
|
|
601 { |
|
4569
|
602 MX_ND_ANY_ALL_REDUCTION (MX_ND_ALL_EVAL (MX_ND_ALL_EXPR), true); |
|
4513
|
603 } |
|
|
604 |
|
4556
|
605 boolNDArray |
|
4513
|
606 NDArray::any (int dim) const |
|
|
607 { |
|
4569
|
608 MX_ND_ANY_ALL_REDUCTION (MX_ND_ANY_EVAL (MX_ND_ANY_EXPR), false); |
|
|
609 } |
|
|
610 |
|
4584
|
611 NDArray |
|
4569
|
612 NDArray::cumprod (int dim) const |
|
|
613 { |
|
4584
|
614 MX_ND_CUMULATIVE_OP (NDArray, double, 1, *); |
|
4569
|
615 } |
|
|
616 |
|
4584
|
617 NDArray |
|
4569
|
618 NDArray::cumsum (int dim) const |
|
|
619 { |
|
4584
|
620 MX_ND_CUMULATIVE_OP (NDArray, double, 0, +); |
|
4513
|
621 } |
|
|
622 |
|
4569
|
623 NDArray |
|
|
624 NDArray::prod (int dim) const |
|
|
625 { |
|
|
626 MX_ND_REAL_OP_REDUCTION (*= elem (iter_idx), 1); |
|
|
627 } |
|
|
628 |
|
|
629 NDArray |
|
|
630 NDArray::sumsq (int dim) const |
|
|
631 { |
|
|
632 MX_ND_REAL_OP_REDUCTION (+= std::pow (elem (iter_idx), 2), 0); |
|
|
633 } |
|
|
634 |
|
|
635 NDArray |
|
|
636 NDArray::sum (int dim) const |
|
|
637 { |
|
|
638 MX_ND_REAL_OP_REDUCTION (+= elem (iter_idx), 0); |
|
|
639 } |
|
|
640 |
|
4844
|
641 NDArray |
|
|
642 NDArray::max (int dim) const |
|
|
643 { |
|
|
644 ArrayN<int> dummy_idx; |
|
|
645 return max (dummy_idx, dim); |
|
|
646 } |
|
|
647 |
|
|
648 NDArray |
|
|
649 NDArray::max (ArrayN<int>& idx_arg, int dim) const |
|
|
650 { |
|
|
651 dim_vector dv = dims (); |
|
|
652 dim_vector dr = dims (); |
|
|
653 |
|
|
654 if (dv.numel () == 0 || dim > dv.length () || dim < 0) |
|
|
655 return NDArray (); |
|
|
656 |
|
|
657 dr(dim) = 1; |
|
|
658 |
|
|
659 NDArray result (dr); |
|
|
660 idx_arg.resize (dr); |
|
|
661 |
|
|
662 int x_stride = 1; |
|
|
663 int x_len = dv(dim); |
|
|
664 for (int i = 0; i < dim; i++) |
|
|
665 x_stride *= dv(i); |
|
|
666 |
|
|
667 for (int i = 0; i < dr.numel (); i++) |
|
|
668 { |
|
|
669 int x_offset; |
|
|
670 if (x_stride == 1) |
|
|
671 x_offset = i * x_len; |
|
|
672 else |
|
|
673 { |
|
|
674 int x_offset2 = 0; |
|
|
675 x_offset = i; |
|
|
676 while (x_offset >= x_stride) |
|
|
677 { |
|
|
678 x_offset -= x_stride; |
|
|
679 x_offset2++; |
|
|
680 } |
|
|
681 x_offset += x_offset2 * x_stride * x_len; |
|
|
682 } |
|
|
683 |
|
|
684 int idx_j; |
|
|
685 |
|
|
686 double tmp_max = octave_NaN; |
|
|
687 |
|
|
688 for (idx_j = 0; idx_j < x_len; idx_j++) |
|
|
689 { |
|
|
690 tmp_max = elem (idx_j * x_stride + x_offset); |
|
|
691 |
|
|
692 if (! octave_is_NaN_or_NA (tmp_max)) |
|
|
693 break; |
|
|
694 } |
|
|
695 |
|
|
696 for (int j = idx_j+1; j < x_len; j++) |
|
|
697 { |
|
|
698 double tmp = elem (j * x_stride + x_offset); |
|
|
699 |
|
|
700 if (octave_is_NaN_or_NA (tmp)) |
|
|
701 continue; |
|
|
702 else if (tmp > tmp_max) |
|
|
703 { |
|
|
704 idx_j = j; |
|
|
705 tmp_max = tmp; |
|
|
706 } |
|
|
707 } |
|
|
708 |
|
|
709 result.elem (i) = tmp_max; |
|
|
710 idx_arg.elem (i) = octave_is_NaN_or_NA (tmp_max) ? 0 : idx_j; |
|
|
711 } |
|
|
712 |
|
|
713 return result; |
|
|
714 } |
|
|
715 |
|
|
716 NDArray |
|
|
717 NDArray::min (int dim) const |
|
|
718 { |
|
|
719 ArrayN<int> dummy_idx; |
|
|
720 return min (dummy_idx, dim); |
|
|
721 } |
|
|
722 |
|
|
723 NDArray |
|
|
724 NDArray::min (ArrayN<int>& idx_arg, int dim) const |
|
|
725 { |
|
|
726 dim_vector dv = dims (); |
|
|
727 dim_vector dr = dims (); |
|
|
728 |
|
|
729 if (dv.numel () == 0 || dim > dv.length () || dim < 0) |
|
|
730 return NDArray (); |
|
|
731 |
|
|
732 dr(dim) = 1; |
|
|
733 |
|
|
734 NDArray result (dr); |
|
|
735 idx_arg.resize (dr); |
|
|
736 |
|
|
737 int x_stride = 1; |
|
|
738 int x_len = dv(dim); |
|
|
739 for (int i = 0; i < dim; i++) |
|
|
740 x_stride *= dv(i); |
|
|
741 |
|
|
742 for (int i = 0; i < dr.numel (); i++) |
|
|
743 { |
|
|
744 int x_offset; |
|
|
745 if (x_stride == 1) |
|
|
746 x_offset = i * x_len; |
|
|
747 else |
|
|
748 { |
|
|
749 int x_offset2 = 0; |
|
|
750 x_offset = i; |
|
|
751 while (x_offset >= x_stride) |
|
|
752 { |
|
|
753 x_offset -= x_stride; |
|
|
754 x_offset2++; |
|
|
755 } |
|
|
756 x_offset += x_offset2 * x_stride * x_len; |
|
|
757 } |
|
|
758 |
|
|
759 int idx_j; |
|
|
760 |
|
|
761 double tmp_min = octave_NaN; |
|
|
762 |
|
|
763 for (idx_j = 0; idx_j < x_len; idx_j++) |
|
|
764 { |
|
|
765 tmp_min = elem (idx_j * x_stride + x_offset); |
|
|
766 |
|
|
767 if (! octave_is_NaN_or_NA (tmp_min)) |
|
|
768 break; |
|
|
769 } |
|
|
770 |
|
|
771 for (int j = idx_j+1; j < x_len; j++) |
|
|
772 { |
|
|
773 double tmp = elem (j * x_stride + x_offset); |
|
|
774 |
|
|
775 if (octave_is_NaN_or_NA (tmp)) |
|
|
776 continue; |
|
|
777 else if (tmp < tmp_min) |
|
|
778 { |
|
|
779 idx_j = j; |
|
|
780 tmp_min = tmp; |
|
|
781 } |
|
|
782 } |
|
|
783 |
|
|
784 result.elem (i) = tmp_min; |
|
|
785 idx_arg.elem (i) = octave_is_NaN_or_NA (tmp_min) ? 0 : idx_j; |
|
|
786 } |
|
|
787 |
|
|
788 return result; |
|
|
789 } |
|
|
790 |
|
4915
|
791 NDArray |
|
5073
|
792 NDArray::concat (const NDArray& rb, const Array<int>& ra_idx) |
|
4758
|
793 { |
|
5073
|
794 if (rb.numel () > 0) |
|
|
795 insert (rb, ra_idx); |
|
|
796 return *this; |
|
|
797 } |
|
|
798 |
|
|
799 ComplexNDArray |
|
|
800 NDArray::concat (const ComplexNDArray& rb, const Array<int>& ra_idx) |
|
|
801 { |
|
|
802 ComplexNDArray retval (*this); |
|
4940
|
803 if (rb.numel () > 0) |
|
4915
|
804 retval.insert (rb, ra_idx); |
|
|
805 return retval; |
|
4758
|
806 } |
|
|
807 |
|
5073
|
808 charNDArray |
|
|
809 NDArray::concat (const charNDArray& rb, const Array<int>& ra_idx) |
|
|
810 { |
|
|
811 charNDArray retval (dims ()); |
|
|
812 int nel = numel (); |
|
|
813 |
|
|
814 for (int i = 0; i < nel; i++) |
|
|
815 { |
|
|
816 double d = elem (i); |
|
|
817 |
|
|
818 if (xisnan (d)) |
|
|
819 { |
|
|
820 (*current_liboctave_error_handler) |
|
|
821 ("invalid conversion from NaN to character"); |
|
|
822 return retval; |
|
|
823 } |
|
|
824 else |
|
|
825 { |
|
|
826 int ival = NINT (d); |
|
|
827 |
|
|
828 if (ival < 0 || ival > UCHAR_MAX) |
|
|
829 // XXX FIXME XXX -- is there something |
|
|
830 // better we could do? Should we warn the user? |
|
|
831 ival = 0; |
|
|
832 |
|
|
833 retval.elem (i) = static_cast<char>(ival); |
|
|
834 } |
|
|
835 } |
|
|
836 |
|
|
837 if (rb.numel () == 0) |
|
|
838 return retval; |
|
|
839 |
|
|
840 retval.insert (rb, ra_idx); |
|
|
841 return retval; |
|
|
842 } |
|
|
843 |
|
4634
|
844 NDArray |
|
|
845 real (const ComplexNDArray& a) |
|
|
846 { |
|
|
847 int a_len = a.length (); |
|
|
848 NDArray retval; |
|
|
849 if (a_len > 0) |
|
|
850 retval = NDArray (mx_inline_real_dup (a.data (), a_len), a.dims ()); |
|
|
851 return retval; |
|
|
852 } |
|
|
853 |
|
|
854 NDArray |
|
|
855 imag (const ComplexNDArray& a) |
|
|
856 { |
|
|
857 int a_len = a.length (); |
|
|
858 NDArray retval; |
|
|
859 if (a_len > 0) |
|
|
860 retval = NDArray (mx_inline_imag_dup (a.data (), a_len), a.dims ()); |
|
|
861 return retval; |
|
|
862 } |
|
|
863 |
|
4915
|
864 NDArray& |
|
|
865 NDArray::insert (const NDArray& a, int r, int c) |
|
|
866 { |
|
|
867 Array<double>::insert (a, r, c); |
|
|
868 return *this; |
|
|
869 } |
|
|
870 |
|
|
871 NDArray& |
|
|
872 NDArray::insert (const NDArray& a, const Array<int>& ra_idx) |
|
|
873 { |
|
|
874 Array<double>::insert (a, ra_idx); |
|
|
875 return *this; |
|
|
876 } |
|
|
877 |
|
4634
|
878 NDArray |
|
4569
|
879 NDArray::abs (void) const |
|
|
880 { |
|
4634
|
881 NDArray retval (dims ()); |
|
4569
|
882 |
|
4634
|
883 int nel = nelem (); |
|
|
884 |
|
|
885 for (int i = 0; i < nel; i++) |
|
|
886 retval(i) = fabs (elem (i)); |
|
4569
|
887 |
|
|
888 return retval; |
|
|
889 } |
|
|
890 |
|
4532
|
891 Matrix |
|
|
892 NDArray::matrix_value (void) const |
|
|
893 { |
|
|
894 Matrix retval; |
|
|
895 |
|
|
896 int nd = ndims (); |
|
|
897 |
|
|
898 switch (nd) |
|
|
899 { |
|
|
900 case 1: |
|
|
901 retval = Matrix (Array2<double> (*this, dimensions(0), 1)); |
|
|
902 break; |
|
|
903 |
|
|
904 case 2: |
|
|
905 retval = Matrix (Array2<double> (*this, dimensions(0), dimensions(1))); |
|
|
906 break; |
|
|
907 |
|
|
908 default: |
|
|
909 (*current_liboctave_error_handler) |
|
4770
|
910 ("invalid conversion of NDArray to Matrix"); |
|
4532
|
911 break; |
|
|
912 } |
|
|
913 |
|
|
914 return retval; |
|
|
915 } |
|
|
916 |
|
|
917 void |
|
|
918 NDArray::increment_index (Array<int>& ra_idx, |
|
|
919 const dim_vector& dimensions, |
|
|
920 int start_dimension) |
|
|
921 { |
|
|
922 ::increment_index (ra_idx, dimensions, start_dimension); |
|
|
923 } |
|
|
924 |
|
4556
|
925 int |
|
|
926 NDArray::compute_index (Array<int>& ra_idx, |
|
|
927 const dim_vector& dimensions) |
|
|
928 { |
|
|
929 return ::compute_index (ra_idx, dimensions); |
|
|
930 } |
|
|
931 |
|
4687
|
932 // This contains no information on the array structure !!! |
|
|
933 std::ostream& |
|
|
934 operator << (std::ostream& os, const NDArray& a) |
|
|
935 { |
|
|
936 int nel = a.nelem (); |
|
|
937 |
|
|
938 for (int i = 0; i < nel; i++) |
|
|
939 { |
|
|
940 os << " "; |
|
|
941 octave_write_double (os, a.elem (i)); |
|
|
942 os << "\n"; |
|
|
943 } |
|
|
944 return os; |
|
|
945 } |
|
|
946 |
|
|
947 std::istream& |
|
|
948 operator >> (std::istream& is, NDArray& a) |
|
|
949 { |
|
|
950 int nel = a.nelem (); |
|
|
951 |
|
|
952 if (nel < 1 ) |
|
|
953 is.clear (std::ios::badbit); |
|
|
954 else |
|
|
955 { |
|
|
956 double tmp; |
|
|
957 for (int i = 0; i < nel; i++) |
|
|
958 { |
|
|
959 tmp = octave_read_double (is); |
|
|
960 if (is) |
|
|
961 a.elem (i) = tmp; |
|
|
962 else |
|
|
963 goto done; |
|
|
964 } |
|
|
965 } |
|
|
966 |
|
|
967 done: |
|
|
968 |
|
|
969 return is; |
|
|
970 } |
|
|
971 |
|
4844
|
972 // XXX FIXME XXX -- it would be nice to share code among the min/max |
|
|
973 // functions below. |
|
|
974 |
|
|
975 #define EMPTY_RETURN_CHECK(T) \ |
|
|
976 if (nel == 0) \ |
|
|
977 return T (dv); |
|
|
978 |
|
|
979 NDArray |
|
|
980 min (double d, const NDArray& m) |
|
|
981 { |
|
|
982 dim_vector dv = m.dims (); |
|
|
983 int nel = dv.numel (); |
|
|
984 |
|
|
985 EMPTY_RETURN_CHECK (NDArray); |
|
|
986 |
|
|
987 NDArray result (dv); |
|
|
988 |
|
|
989 for (int i = 0; i < nel; i++) |
|
|
990 { |
|
|
991 OCTAVE_QUIT; |
|
|
992 result (i) = xmin (d, m (i)); |
|
|
993 } |
|
|
994 |
|
|
995 return result; |
|
|
996 } |
|
|
997 |
|
|
998 NDArray |
|
|
999 min (const NDArray& m, double d) |
|
|
1000 { |
|
|
1001 dim_vector dv = m.dims (); |
|
|
1002 int nel = dv.numel (); |
|
|
1003 |
|
|
1004 EMPTY_RETURN_CHECK (NDArray); |
|
|
1005 |
|
|
1006 NDArray result (dv); |
|
|
1007 |
|
|
1008 for (int i = 0; i < nel; i++) |
|
|
1009 { |
|
|
1010 OCTAVE_QUIT; |
|
|
1011 result (i) = xmin (d, m (i)); |
|
|
1012 } |
|
|
1013 |
|
|
1014 return result; |
|
|
1015 } |
|
|
1016 |
|
|
1017 NDArray |
|
|
1018 min (const NDArray& a, const NDArray& b) |
|
|
1019 { |
|
|
1020 dim_vector dv = a.dims (); |
|
|
1021 int nel = dv.numel (); |
|
|
1022 |
|
|
1023 if (dv != b.dims ()) |
|
|
1024 { |
|
|
1025 (*current_liboctave_error_handler) |
|
|
1026 ("two-arg min expecting args of same size"); |
|
|
1027 return NDArray (); |
|
|
1028 } |
|
|
1029 |
|
|
1030 EMPTY_RETURN_CHECK (NDArray); |
|
|
1031 |
|
|
1032 NDArray result (dv); |
|
|
1033 |
|
|
1034 for (int i = 0; i < nel; i++) |
|
|
1035 { |
|
|
1036 OCTAVE_QUIT; |
|
|
1037 result (i) = xmin (a (i), b (i)); |
|
|
1038 } |
|
|
1039 |
|
|
1040 return result; |
|
|
1041 } |
|
|
1042 |
|
|
1043 NDArray |
|
|
1044 max (double d, const NDArray& m) |
|
|
1045 { |
|
|
1046 dim_vector dv = m.dims (); |
|
|
1047 int nel = dv.numel (); |
|
|
1048 |
|
|
1049 EMPTY_RETURN_CHECK (NDArray); |
|
|
1050 |
|
|
1051 NDArray result (dv); |
|
|
1052 |
|
|
1053 for (int i = 0; i < nel; i++) |
|
|
1054 { |
|
|
1055 OCTAVE_QUIT; |
|
|
1056 result (i) = xmax (d, m (i)); |
|
|
1057 } |
|
|
1058 |
|
|
1059 return result; |
|
|
1060 } |
|
|
1061 |
|
|
1062 NDArray |
|
|
1063 max (const NDArray& m, double d) |
|
|
1064 { |
|
|
1065 dim_vector dv = m.dims (); |
|
|
1066 int nel = dv.numel (); |
|
|
1067 |
|
|
1068 EMPTY_RETURN_CHECK (NDArray); |
|
|
1069 |
|
|
1070 NDArray result (dv); |
|
|
1071 |
|
|
1072 for (int i = 0; i < nel; i++) |
|
|
1073 { |
|
|
1074 OCTAVE_QUIT; |
|
|
1075 result (i) = xmax (d, m (i)); |
|
|
1076 } |
|
|
1077 |
|
|
1078 return result; |
|
|
1079 } |
|
|
1080 |
|
|
1081 NDArray |
|
|
1082 max (const NDArray& a, const NDArray& b) |
|
|
1083 { |
|
|
1084 dim_vector dv = a.dims (); |
|
|
1085 int nel = dv.numel (); |
|
|
1086 |
|
|
1087 if (dv != b.dims ()) |
|
|
1088 { |
|
|
1089 (*current_liboctave_error_handler) |
|
|
1090 ("two-arg max expecting args of same size"); |
|
|
1091 return NDArray (); |
|
|
1092 } |
|
|
1093 |
|
|
1094 EMPTY_RETURN_CHECK (NDArray); |
|
|
1095 |
|
|
1096 NDArray result (dv); |
|
|
1097 |
|
|
1098 for (int i = 0; i < nel; i++) |
|
|
1099 { |
|
|
1100 OCTAVE_QUIT; |
|
|
1101 result (i) = xmax (a (i), b (i)); |
|
|
1102 } |
|
|
1103 |
|
|
1104 return result; |
|
|
1105 } |
|
|
1106 |
|
4543
|
1107 NDS_CMP_OPS(NDArray, , double, ) |
|
|
1108 NDS_BOOL_OPS(NDArray, double, 0.0) |
|
|
1109 |
|
|
1110 SND_CMP_OPS(double, , NDArray, ) |
|
|
1111 SND_BOOL_OPS(double, NDArray, 0.0) |
|
|
1112 |
|
|
1113 NDND_CMP_OPS(NDArray, , NDArray, ) |
|
|
1114 NDND_BOOL_OPS(NDArray, NDArray, 0.0) |
|
|
1115 |
|
4513
|
1116 /* |
|
|
1117 ;;; Local Variables: *** |
|
|
1118 ;;; mode: C++ *** |
|
|
1119 ;;; End: *** |
|
|
1120 */ |
