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1 /* |
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2 |
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2847
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3 Copyright (C) 1996, 1997 John W. Eaton |
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4 |
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5 This file is part of Octave. |
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6 |
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7 Octave is free software; you can redistribute it and/or modify it |
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8 under the terms of the GNU General Public License as published by the |
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9 Free Software Foundation; either version 2, or (at your option) any |
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10 later version. |
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11 |
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12 Octave is distributed in the hope that it will be useful, but WITHOUT |
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13 ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or |
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14 FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License |
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15 for more details. |
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16 |
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17 You should have received a copy of the GNU General Public License |
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18 along with Octave; see the file COPYING. If not, write to the Free |
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19 Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA |
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20 02110-1301, 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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3503
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28 #include <iostream> |
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4726
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29 #include <vector> |
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30 |
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4944
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31 #include "data-conv.h" |
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32 #include "lo-ieee.h" |
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33 #include "mx-base.h" |
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4944
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34 #include "mach-info.h" |
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35 |
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36 #include "gripes.h" |
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37 #include "oct-obj.h" |
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38 #include "oct-stream.h" |
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2410
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39 #include "ops.h" |
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3219
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40 #include "ov-base.h" |
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41 #include "ov-base-mat.h" |
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42 #include "ov-base-mat.cc" |
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2410
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43 #include "ov-complex.h" |
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44 #include "ov-cx-mat.h" |
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2410
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45 #include "ov-re-mat.h" |
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46 #include "ov-scalar.h" |
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47 #include "pr-output.h" |
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48 |
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49 #include "byte-swap.h" |
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50 #include "ls-oct-ascii.h" |
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51 #include "ls-hdf5.h" |
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52 #include "ls-utils.h" |
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53 |
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54 template class octave_base_matrix<ComplexNDArray>; |
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55 |
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3219
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56 DEFINE_OCTAVE_ALLOCATOR (octave_complex_matrix); |
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57 |
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4612
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58 DEFINE_OV_TYPEID_FUNCTIONS_AND_DATA (octave_complex_matrix, |
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59 "complex matrix", "double"); |
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60 |
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61 octave_base_value * |
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62 octave_complex_matrix::try_narrowing_conversion (void) |
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63 { |
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64 octave_base_value *retval = 0; |
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65 |
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66 if (matrix.ndims () == 2) |
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67 { |
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68 ComplexMatrix cm = matrix.matrix_value (); |
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69 |
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70 octave_idx_type nr = cm.rows (); |
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71 octave_idx_type nc = cm.cols (); |
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72 |
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73 if (nr == 1 && nc == 1) |
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74 { |
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75 Complex c = matrix (0, 0); |
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76 |
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5450
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77 double im = std::imag (c); |
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78 |
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79 if (im == 0.0 && ! lo_ieee_signbit (im)) |
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80 retval = new octave_scalar (std::real (c)); |
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81 else |
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82 retval = new octave_complex (c); |
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83 } |
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84 else if (nr == 0 || nc == 0) |
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85 retval = new octave_matrix (Matrix (nr, nc)); |
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86 else if (cm.all_elements_are_real ()) |
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87 retval = new octave_matrix (::real (cm)); |
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2410
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88 } |
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4923
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89 else if (matrix.all_elements_are_real ()) |
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90 retval = new octave_matrix (::real (matrix)); |
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91 |
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92 return retval; |
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93 } |
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94 |
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95 void |
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96 octave_complex_matrix::assign (const octave_value_list& idx, |
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97 const ComplexNDArray& rhs) |
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4418
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98 { |
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99 octave_base_matrix<ComplexNDArray>::assign (idx, rhs); |
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4418
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100 } |
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101 |
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102 void |
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103 octave_complex_matrix::assign (const octave_value_list& idx, |
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104 const NDArray& rhs) |
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105 { |
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106 octave_idx_type len = idx.length (); |
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107 |
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108 for (octave_idx_type i = 0; i < len; i++) |
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109 matrix.set_index (idx(i).index_vector ()); |
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110 |
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111 ::assign (matrix, rhs); |
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112 } |
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113 |
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114 bool |
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115 octave_complex_matrix::valid_as_scalar_index (void) const |
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116 { |
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117 // FIXME |
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118 return false; |
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119 } |
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120 |
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121 double |
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122 octave_complex_matrix::double_value (bool force_conversion) const |
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123 { |
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124 double retval = lo_ieee_nan_value (); |
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125 |
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5781
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126 if (! force_conversion) |
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127 gripe_implicit_conversion ("Octave:imag-to-real", |
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128 "complex matrix", "real scalar"); |
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129 |
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130 if (rows () > 0 && columns () > 0) |
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131 { |
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132 gripe_implicit_conversion ("Octave:array-as-scalar", |
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133 "complex matrix", "real scalar"); |
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134 |
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135 retval = std::real (matrix (0, 0)); |
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136 } |
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137 else |
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138 gripe_invalid_conversion ("complex matrix", "real scalar"); |
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139 |
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140 return retval; |
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141 } |
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142 |
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143 Matrix |
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144 octave_complex_matrix::matrix_value (bool force_conversion) const |
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145 { |
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146 Matrix retval; |
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147 |
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148 if (! force_conversion) |
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149 gripe_implicit_conversion ("Octave:imag-to-real", |
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150 "complex matrix", "real matrix"); |
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151 |
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152 retval = ::real (matrix.matrix_value ()); |
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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 Complex |
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158 octave_complex_matrix::complex_value (bool) const |
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159 { |
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4102
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160 double tmp = lo_ieee_nan_value (); |
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161 |
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162 Complex retval (tmp, tmp); |
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163 |
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164 if (rows () > 0 && columns () > 0) |
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165 { |
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166 gripe_implicit_conversion ("Octave:array-as-scalar", |
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167 "complex matrix", "complex scalar"); |
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168 |
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169 retval = matrix (0, 0); |
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170 } |
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171 else |
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172 gripe_invalid_conversion ("complex matrix", "complex scalar"); |
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173 |
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174 return retval; |
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175 } |
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176 |
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177 ComplexMatrix |
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178 octave_complex_matrix::complex_matrix_value (bool) const |
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179 { |
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180 return matrix.matrix_value (); |
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181 } |
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182 |
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183 SparseMatrix |
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184 octave_complex_matrix::sparse_matrix_value (bool force_conversion) const |
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185 { |
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186 SparseMatrix retval; |
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187 |
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5781
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188 if (! force_conversion) |
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189 gripe_implicit_conversion ("Octave:imag-to-real", |
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190 "complex matrix", "real matrix"); |
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5164
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191 |
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192 retval = SparseMatrix (::real (matrix.matrix_value ())); |
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193 |
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194 return retval; |
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195 } |
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196 |
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197 SparseComplexMatrix |
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198 octave_complex_matrix::sparse_complex_matrix_value (bool) const |
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199 { |
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200 return SparseComplexMatrix (matrix.matrix_value ()); |
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201 } |
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202 |
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203 static ComplexMatrix |
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204 strip_infnan (const ComplexMatrix& m) |
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205 { |
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206 octave_idx_type nr = m.rows (); |
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207 octave_idx_type nc = m.columns (); |
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208 |
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209 ComplexMatrix retval (nr, nc); |
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210 |
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211 octave_idx_type k = 0; |
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212 for (octave_idx_type i = 0; i < nr; i++) |
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213 { |
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214 for (octave_idx_type j = 0; j < nc; j++) |
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215 { |
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216 Complex c = m (i, j); |
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217 if (xisnan (c)) |
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218 goto next_row; |
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219 else |
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220 { |
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221 double re = std::real (c); |
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222 double im = std::imag (c); |
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223 |
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224 re = xisinf (re) ? (re > 0 ? OCT_RBV : -OCT_RBV) : re; |
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225 im = xisinf (im) ? (im > 0 ? OCT_RBV : -OCT_RBV) : im; |
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226 |
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227 retval (k, j) = Complex (re, im); |
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228 } |
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229 } |
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230 k++; |
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231 |
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232 next_row: |
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233 continue; |
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234 } |
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235 |
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236 if (k > 0) |
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237 retval.resize (k, nc); |
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238 |
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239 return retval; |
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240 } |
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241 |
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242 bool |
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243 octave_complex_matrix::save_ascii (std::ostream& os, bool& infnan_warned, |
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244 bool strip_nan_and_inf) |
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245 { |
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246 dim_vector d = dims (); |
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247 if (d.length () > 2) |
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248 { |
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249 ComplexNDArray tmp = complex_array_value (); |
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250 |
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251 if (strip_nan_and_inf) |
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252 { |
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253 warning ("save: Can not strip Inf or NaN values"); |
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254 warning ("save: Inf or NaN values may not be reloadable"); |
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255 infnan_warned = true; |
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256 } |
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257 else if (! infnan_warned && tmp.any_element_is_inf_or_nan ()) |
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258 { |
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259 warning ("save: Inf or NaN values may not be reloadable"); |
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260 infnan_warned = true; |
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261 } |
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262 |
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263 os << "# ndims: " << d.length () << "\n"; |
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264 |
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265 for (int i = 0; i < d.length (); i++) |
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266 os << " " << d (i); |
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267 |
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268 os << "\n" << tmp; |
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269 } |
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270 else |
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271 { |
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272 // Keep this case, rather than use generic code above for backward |
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273 // compatiability. Makes load_ascii much more complex!! |
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274 os << "# rows: " << rows () << "\n" |
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275 << "# columns: " << columns () << "\n"; |
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276 |
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277 ComplexMatrix tmp = complex_matrix_value (); |
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278 |
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279 if (strip_nan_and_inf) |
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280 tmp = strip_infnan (tmp); |
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281 else if (! infnan_warned && tmp.any_element_is_inf_or_nan ()) |
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282 { |
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283 warning ("save: Inf or NaN values may not be reloadable"); |
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284 infnan_warned = true; |
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285 } |
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286 |
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287 os << tmp; |
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288 } |
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289 |
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290 return true; |
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291 } |
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292 |
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293 bool |
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294 octave_complex_matrix::load_ascii (std::istream& is) |
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295 { |
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296 bool success = true; |
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5099
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297 |
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298 string_vector keywords(2); |
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299 |
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300 keywords[0] = "ndims"; |
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301 keywords[1] = "rows"; |
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302 |
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5099
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303 std::string kw; |
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5275
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304 octave_idx_type val = 0; |
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5099
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305 |
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306 if (extract_keyword (is, keywords, kw, val, true)) |
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307 { |
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5099
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308 if (kw == "ndims") |
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309 { |
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5275
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310 int mdims = static_cast<int> (val); |
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311 |
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5099
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312 if (mdims >= 0) |
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313 { |
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5099
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314 dim_vector dv; |
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315 dv.resize (mdims); |
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316 |
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5099
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317 for (int i = 0; i < mdims; i++) |
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318 is >> dv(i); |
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319 |
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5099
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320 ComplexNDArray tmp(dv); |
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4687
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321 is >> tmp; |
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5099
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322 |
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4687
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323 if (!is) |
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324 { |
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325 error ("load: failed to load matrix constant"); |
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326 success = false; |
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327 } |
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328 matrix = tmp; |
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329 } |
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330 else |
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5099
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331 { |
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332 error ("load: failed to extract number of rows and columns"); |
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333 success = false; |
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334 } |
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4687
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335 } |
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5099
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336 else if (kw == "rows") |
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4687
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337 { |
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5275
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338 octave_idx_type nr = val; |
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339 octave_idx_type nc = 0; |
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5099
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340 |
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341 if (nr >= 0 && extract_keyword (is, "columns", nc) && nc >= 0) |
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342 { |
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343 if (nr > 0 && nc > 0) |
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344 { |
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345 ComplexMatrix tmp (nr, nc); |
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346 is >> tmp; |
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347 if (!is) |
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348 { |
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349 error ("load: failed to load matrix constant"); |
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350 success = false; |
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351 } |
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352 matrix = tmp; |
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353 } |
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354 else if (nr == 0 || nc == 0) |
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355 matrix = ComplexMatrix (nr, nc); |
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356 else |
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357 panic_impossible (); |
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358 } |
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359 else |
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360 { |
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361 error ("load: failed to extract number of rows and columns"); |
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362 success = false; |
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363 } |
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364 } |
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5099
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365 else |
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366 panic_impossible (); |
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367 } |
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368 else |
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369 { |
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370 error ("load: failed to extract number of rows and columns"); |
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371 success = false; |
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4687
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372 } |
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373 |
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374 return success; |
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375 } |
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376 |
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377 bool |
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378 octave_complex_matrix::save_binary (std::ostream& os, bool& save_as_floats) |
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379 { |
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380 dim_vector d = dims (); |
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381 if (d.length() < 1) |
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382 return false; |
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383 |
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384 // Use negative value for ndims to differentiate with old format!! |
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5828
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385 int32_t tmp = - d.length(); |
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5760
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386 os.write (reinterpret_cast<char *> (&tmp), 4); |
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5275
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387 for (int i = 0; i < d.length (); i++) |
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4687
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388 { |
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389 tmp = d(i); |
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5760
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390 os.write (reinterpret_cast<char *> (&tmp), 4); |
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4687
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391 } |
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392 |
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393 ComplexNDArray m = complex_array_value (); |
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394 save_type st = LS_DOUBLE; |
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395 if (save_as_floats) |
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396 { |
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397 if (m.too_large_for_float ()) |
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398 { |
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399 warning ("save: some values too large to save as floats --"); |
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400 warning ("save: saving as doubles instead"); |
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401 } |
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402 else |
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403 st = LS_FLOAT; |
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404 } |
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5775
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405 else if (d.numel () > 4096) // FIXME -- make this configurable. |
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4687
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406 { |
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407 double max_val, min_val; |
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408 if (m.all_integers (max_val, min_val)) |
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409 st = get_save_type (max_val, min_val); |
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410 } |
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411 |
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412 |
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413 const Complex *mtmp = m.data (); |
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5760
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414 write_doubles (os, reinterpret_cast<const double *> (mtmp), st, 2 * d.numel ()); |
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4687
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415 |
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416 return true; |
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417 } |
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418 |
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419 bool |
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420 octave_complex_matrix::load_binary (std::istream& is, bool swap, |
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421 oct_mach_info::float_format fmt) |
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422 { |
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423 char tmp; |
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5828
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424 int32_t mdims; |
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5760
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425 if (! is.read (reinterpret_cast<char *> (&mdims), 4)) |
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4687
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426 return false; |
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427 if (swap) |
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4944
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428 swap_bytes<4> (&mdims); |
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4687
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429 if (mdims < 0) |
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430 { |
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431 mdims = - mdims; |
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5828
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432 int32_t di; |
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4687
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433 dim_vector dv; |
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434 dv.resize (mdims); |
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435 |
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436 for (int i = 0; i < mdims; i++) |
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437 { |
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5760
|
438 if (! is.read (reinterpret_cast<char *> (&di), 4)) |
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4687
|
439 return false; |
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440 if (swap) |
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4944
|
441 swap_bytes<4> (&di); |
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4687
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442 dv(i) = di; |
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443 } |
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444 |
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5157
|
445 // Convert an array with a single dimension to be a row vector. |
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|
446 // Octave should never write files like this, other software |
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|
447 // might. |
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448 |
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449 if (mdims == 1) |
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450 { |
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451 mdims = 2; |
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|
452 dv.resize (mdims); |
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|
453 dv(1) = dv(0); |
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|
454 dv(0) = 1; |
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455 } |
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456 |
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5760
|
457 if (! is.read (reinterpret_cast<char *> (&tmp), 1)) |
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4687
|
458 return false; |
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|
459 |
|
|
460 ComplexNDArray m(dv); |
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|
461 Complex *im = m.fortran_vec (); |
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5760
|
462 read_doubles (is, reinterpret_cast<double *> (im), |
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|
463 static_cast<save_type> (tmp), 2 * dv.numel (), swap, fmt); |
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4687
|
464 if (error_state || ! is) |
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465 return false; |
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|
466 matrix = m; |
|
|
467 } |
|
|
468 else |
|
|
469 { |
|
5828
|
470 int32_t nr, nc; |
|
4687
|
471 nr = mdims; |
|
5760
|
472 if (! is.read (reinterpret_cast<char *> (&nc), 4)) |
|
4687
|
473 return false; |
|
|
474 if (swap) |
|
4944
|
475 swap_bytes<4> (&nc); |
|
5760
|
476 if (! is.read (reinterpret_cast<char *> (&tmp), 1)) |
|
4687
|
477 return false; |
|
|
478 ComplexMatrix m (nr, nc); |
|
|
479 Complex *im = m.fortran_vec (); |
|
5275
|
480 octave_idx_type len = nr * nc; |
|
5760
|
481 read_doubles (is, reinterpret_cast<double *> (im), |
|
|
482 static_cast<save_type> (tmp), 2*len, swap, fmt); |
|
4687
|
483 if (error_state || ! is) |
|
|
484 return false; |
|
|
485 matrix = m; |
|
|
486 } |
|
|
487 return true; |
|
|
488 } |
|
|
489 |
|
|
490 #if defined (HAVE_HDF5) |
|
4944
|
491 |
|
4687
|
492 bool |
|
|
493 octave_complex_matrix::save_hdf5 (hid_t loc_id, const char *name, |
|
|
494 bool save_as_floats) |
|
|
495 { |
|
4837
|
496 dim_vector dv = dims (); |
|
|
497 int empty = save_hdf5_empty (loc_id, name, dv); |
|
|
498 if (empty) |
|
4805
|
499 return (empty > 0); |
|
|
500 |
|
4837
|
501 int rank = dv.length (); |
|
4805
|
502 hid_t space_hid = -1, data_hid = -1, type_hid = -1; |
|
4687
|
503 bool retval = true; |
|
|
504 ComplexNDArray m = complex_array_value (); |
|
|
505 |
|
4805
|
506 OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank); |
|
|
507 |
|
4687
|
508 // Octave uses column-major, while HDF5 uses row-major ordering |
|
4805
|
509 for (int i = 0; i < rank; i++) |
|
4837
|
510 hdims[i] = dv (rank-i-1); |
|
4805
|
511 |
|
4815
|
512 space_hid = H5Screate_simple (rank, hdims, 0); |
|
4687
|
513 if (space_hid < 0) return false; |
|
|
514 |
|
|
515 hid_t save_type_hid = H5T_NATIVE_DOUBLE; |
|
|
516 |
|
|
517 if (save_as_floats) |
|
|
518 { |
|
|
519 if (m.too_large_for_float ()) |
|
|
520 { |
|
|
521 warning ("save: some values too large to save as floats --"); |
|
|
522 warning ("save: saving as doubles instead"); |
|
|
523 } |
|
|
524 else |
|
|
525 save_type_hid = H5T_NATIVE_FLOAT; |
|
|
526 } |
|
|
527 #if HAVE_HDF5_INT2FLOAT_CONVERSIONS |
|
|
528 // hdf5 currently doesn't support float/integer conversions |
|
|
529 else |
|
|
530 { |
|
|
531 double max_val, min_val; |
|
|
532 |
|
|
533 if (m.all_integers (max_val, min_val)) |
|
|
534 save_type_hid |
|
|
535 = save_type_to_hdf5 (get_save_type (max_val, min_val)); |
|
|
536 } |
|
|
537 #endif /* HAVE_HDF5_INT2FLOAT_CONVERSIONS */ |
|
|
538 |
|
|
539 type_hid = hdf5_make_complex_type (save_type_hid); |
|
|
540 if (type_hid < 0) |
|
|
541 { |
|
|
542 H5Sclose (space_hid); |
|
|
543 return false; |
|
|
544 } |
|
|
545 |
|
|
546 data_hid = H5Dcreate (loc_id, name, type_hid, space_hid, H5P_DEFAULT); |
|
|
547 if (data_hid < 0) |
|
|
548 { |
|
|
549 H5Sclose (space_hid); |
|
|
550 H5Tclose (type_hid); |
|
|
551 return false; |
|
|
552 } |
|
|
553 |
|
|
554 hid_t complex_type_hid = hdf5_make_complex_type (H5T_NATIVE_DOUBLE); |
|
|
555 if (complex_type_hid < 0) retval = false; |
|
|
556 |
|
|
557 if (retval) |
|
|
558 { |
|
|
559 Complex *mtmp = m.fortran_vec (); |
|
|
560 if (H5Dwrite (data_hid, complex_type_hid, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
|
4815
|
561 mtmp) < 0) |
|
4687
|
562 { |
|
|
563 H5Tclose (complex_type_hid); |
|
|
564 retval = false; |
|
|
565 } |
|
|
566 } |
|
|
567 |
|
|
568 H5Tclose (complex_type_hid); |
|
|
569 H5Dclose (data_hid); |
|
|
570 H5Tclose (type_hid); |
|
|
571 H5Sclose (space_hid); |
|
4837
|
572 |
|
4687
|
573 return retval; |
|
|
574 } |
|
|
575 |
|
|
576 bool |
|
|
577 octave_complex_matrix::load_hdf5 (hid_t loc_id, const char *name, |
|
|
578 bool /* have_h5giterate_bug */) |
|
|
579 { |
|
4837
|
580 bool retval = false; |
|
|
581 |
|
4805
|
582 dim_vector dv; |
|
|
583 int empty = load_hdf5_empty (loc_id, name, dv); |
|
|
584 if (empty > 0) |
|
|
585 matrix.resize(dv); |
|
4837
|
586 if (empty) |
|
4805
|
587 return (empty > 0); |
|
|
588 |
|
4687
|
589 hid_t data_hid = H5Dopen (loc_id, name); |
|
|
590 hid_t type_hid = H5Dget_type (data_hid); |
|
|
591 |
|
|
592 hid_t complex_type = hdf5_make_complex_type (H5T_NATIVE_DOUBLE); |
|
|
593 |
|
|
594 if (! hdf5_types_compatible (type_hid, complex_type)) |
|
|
595 { |
|
4837
|
596 H5Tclose (complex_type); |
|
4687
|
597 H5Dclose (data_hid); |
|
|
598 return false; |
|
|
599 } |
|
|
600 |
|
|
601 hid_t space_id = H5Dget_space (data_hid); |
|
|
602 |
|
|
603 hsize_t rank = H5Sget_simple_extent_ndims (space_id); |
|
|
604 |
|
|
605 if (rank < 1) |
|
|
606 { |
|
4837
|
607 H5Tclose (complex_type); |
|
4687
|
608 H5Sclose (space_id); |
|
|
609 H5Dclose (data_hid); |
|
|
610 return false; |
|
|
611 } |
|
|
612 |
|
|
613 OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank); |
|
|
614 OCTAVE_LOCAL_BUFFER (hsize_t, maxdims, rank); |
|
|
615 |
|
|
616 H5Sget_simple_extent_dims (space_id, hdims, maxdims); |
|
|
617 |
|
|
618 // Octave uses column-major, while HDF5 uses row-major ordering |
|
|
619 if (rank == 1) |
|
|
620 { |
|
|
621 dv.resize (2); |
|
|
622 dv(0) = 1; |
|
|
623 dv(1) = hdims[0]; |
|
|
624 } |
|
|
625 else |
|
|
626 { |
|
|
627 dv.resize (rank); |
|
4815
|
628 for (hsize_t i = 0, j = rank - 1; i < rank; i++, j--) |
|
4687
|
629 dv(j) = hdims[i]; |
|
|
630 } |
|
|
631 |
|
|
632 ComplexNDArray m (dv); |
|
|
633 Complex *reim = m.fortran_vec (); |
|
4815
|
634 if (H5Dread (data_hid, complex_type, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
|
|
635 reim) >= 0) |
|
4687
|
636 { |
|
|
637 retval = true; |
|
|
638 matrix = m; |
|
|
639 } |
|
|
640 |
|
4837
|
641 H5Tclose (complex_type); |
|
4687
|
642 H5Sclose (space_id); |
|
|
643 H5Dclose (data_hid); |
|
4837
|
644 |
|
4687
|
645 return retval; |
|
|
646 } |
|
4944
|
647 |
|
4687
|
648 #endif |
|
|
649 |
|
4643
|
650 void |
|
|
651 octave_complex_matrix::print_raw (std::ostream& os, |
|
|
652 bool pr_as_read_syntax) const |
|
|
653 { |
|
|
654 octave_print_internal (os, matrix, pr_as_read_syntax, |
|
|
655 current_print_indent_level ()); |
|
|
656 } |
|
|
657 |
|
5900
|
658 mxArray * |
|
|
659 octave_complex_matrix::as_mxArray (void) const |
|
|
660 { |
|
|
661 mxArray *retval = new mxArray (mxDOUBLE_CLASS, dims (), mxCOMPLEX); |
|
|
662 |
|
|
663 double *pr = static_cast<double *> (retval->get_data ()); |
|
|
664 double *pi = static_cast<double *> (retval->get_imag_data ()); |
|
|
665 |
|
|
666 int nel = numel (); |
|
|
667 |
|
|
668 const Complex *p = matrix.data (); |
|
|
669 |
|
|
670 for (int i = 0; i < nel; i++) |
|
|
671 { |
|
|
672 pr[i] = real (p[i]); |
|
|
673 pi[i] = imag (p[i]); |
|
|
674 } |
|
|
675 |
|
|
676 return retval; |
|
|
677 } |
|
|
678 |
|
2376
|
679 /* |
|
|
680 ;;; Local Variables: *** |
|
|
681 ;;; mode: C++ *** |
|
|
682 ;;; End: *** |
|
|
683 */ |
