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1 /* |
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2 |
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3 Copyright (C) 2004 David Bateman |
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4 Copyright (C) 1998-2004 Andy Adler |
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5 |
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6 Octave is free software; you can redistribute it and/or modify it |
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7 under the terms of the GNU General Public License as published by the |
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8 Free Software Foundation; either version 2, or (at your option) any |
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9 later version. |
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10 |
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11 Octave is distributed in the hope that it will be useful, but WITHOUT |
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12 ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or |
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13 FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License |
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14 for more details. |
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15 |
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16 You should have received a copy of the GNU General Public License |
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17 along with this program; see the file COPYING. If not, write to the |
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18 Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, |
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19 Boston, MA 02110-1301, USA. |
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20 |
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21 */ |
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22 |
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23 #ifdef HAVE_CONFIG_H |
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24 #include <config.h> |
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25 #endif |
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26 |
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27 #include <climits> |
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28 |
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29 #include <iostream> |
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30 #include <vector> |
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31 |
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32 #include "ov-base.h" |
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33 #include "ov-scalar.h" |
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34 #include "ov-bool.h" |
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35 #include "ov-bool-mat.h" |
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36 #include "gripes.h" |
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37 #include "ops.h" |
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38 |
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39 #include "ov-re-sparse.h" |
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40 #include "ov-cx-sparse.h" |
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41 #include "ov-bool-sparse.h" |
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42 |
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43 #include "ov-base-sparse.h" |
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44 #include "ov-base-sparse.cc" |
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45 |
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46 template class OCTINTERP_API octave_base_sparse<SparseBoolMatrix>; |
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47 |
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48 DEFINE_OCTAVE_ALLOCATOR (octave_sparse_bool_matrix); |
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49 |
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50 DEFINE_OV_TYPEID_FUNCTIONS_AND_DATA (octave_sparse_bool_matrix, "sparse bool matrix", "sparse"); |
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51 |
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52 static octave_base_value * |
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53 default_numeric_conversion_function (const octave_base_value& a) |
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54 { |
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55 CAST_CONV_ARG (const octave_sparse_bool_matrix&); |
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56 |
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57 return new octave_sparse_matrix (SparseMatrix (v.sparse_bool_matrix_value ())); |
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58 } |
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59 |
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60 octave_base_value::type_conv_fcn |
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61 octave_sparse_bool_matrix::numeric_conversion_function (void) const |
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62 { |
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63 return default_numeric_conversion_function; |
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64 } |
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65 |
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66 octave_base_value * |
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67 octave_sparse_bool_matrix::try_narrowing_conversion (void) |
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68 { |
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69 octave_base_value *retval = 0; |
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70 |
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71 // Don't use numel, since it can overflow for very large matrices |
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72 // Note that for the second test, this means it becomes approximative |
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73 // since it involves a cast to double to avoid issues of overflow |
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74 if (matrix.rows () == 1 && matrix.cols () == 1) |
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75 { |
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76 // Const copy of the matrix, so the right version of () operator used |
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77 const SparseBoolMatrix tmp (matrix); |
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78 |
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79 retval = new octave_bool (tmp (0)); |
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80 } |
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81 else if (matrix.cols () > 0 && matrix.rows () > 0 && |
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82 double (matrix.byte_size ()) > double (matrix.rows ()) * |
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83 double (matrix.cols ()) * sizeof (bool)) |
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84 retval = new octave_bool_matrix (matrix.matrix_value ()); |
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85 |
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86 return retval; |
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87 } |
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88 |
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89 bool |
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90 octave_sparse_bool_matrix::valid_as_scalar_index (void) const |
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91 { |
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92 // FIXME |
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93 return false; |
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94 } |
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95 |
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96 double |
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97 octave_sparse_bool_matrix::double_value (bool) const |
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98 { |
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99 double retval = lo_ieee_nan_value (); |
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100 |
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101 if (numel () > 0) |
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102 { |
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103 if (numel () > 1) |
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104 gripe_implicit_conversion ("Octave:array-as-scalar", |
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105 "bool sparse matrix", "real scalar"); |
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106 |
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107 retval = matrix (0, 0); |
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108 } |
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109 else |
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110 gripe_invalid_conversion ("bool sparse matrix", "real scalar"); |
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111 |
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112 return retval; |
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113 } |
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114 |
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115 Complex |
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116 octave_sparse_bool_matrix::complex_value (bool) const |
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117 { |
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118 double tmp = lo_ieee_nan_value (); |
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119 |
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120 Complex retval (tmp, tmp); |
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121 |
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122 if (rows () > 0 && columns () > 0) |
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123 { |
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124 if (numel () > 1) |
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125 gripe_implicit_conversion ("Octave:array-as-scalar", |
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126 "bool sparse matrix", "complex scalar"); |
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127 |
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128 retval = matrix (0, 0); |
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129 } |
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130 else |
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131 gripe_invalid_conversion ("bool sparse matrix", "complex scalar"); |
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132 |
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133 return retval; |
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134 } |
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135 |
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136 octave_value |
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137 octave_sparse_bool_matrix::convert_to_str_internal (bool pad, bool force, |
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138 char type) const |
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139 { |
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140 octave_value tmp = octave_value (array_value ()); |
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141 return tmp.convert_to_str (pad, force, type); |
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142 } |
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143 |
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144 // FIXME These are inefficient ways of creating full matrices |
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145 |
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146 Matrix |
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147 octave_sparse_bool_matrix::matrix_value (bool) const |
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148 { |
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149 return Matrix (matrix.matrix_value ()); |
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150 } |
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151 |
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152 ComplexMatrix |
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153 octave_sparse_bool_matrix::complex_matrix_value (bool) const |
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154 { |
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155 return ComplexMatrix (matrix.matrix_value ()); |
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156 } |
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157 |
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158 ComplexNDArray |
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159 octave_sparse_bool_matrix::complex_array_value (bool) const |
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160 { |
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161 return ComplexNDArray (ComplexMatrix (matrix.matrix_value ())); |
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162 } |
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163 |
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164 NDArray |
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165 octave_sparse_bool_matrix::array_value (bool) const |
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166 { |
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167 return NDArray (Matrix(matrix.matrix_value ())); |
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168 } |
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169 |
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170 boolMatrix |
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171 octave_sparse_bool_matrix::bool_matrix_value (bool) const |
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172 { |
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173 return matrix.matrix_value (); |
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174 } |
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175 |
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176 boolNDArray |
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177 octave_sparse_bool_matrix::bool_array_value (bool) const |
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178 { |
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179 return boolNDArray (matrix.matrix_value ()); |
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180 } |
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181 |
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182 |
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183 SparseMatrix |
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184 octave_sparse_bool_matrix::sparse_matrix_value (bool) const |
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185 { |
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186 return SparseMatrix (this->matrix); |
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187 } |
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188 |
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189 SparseComplexMatrix |
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190 octave_sparse_bool_matrix::sparse_complex_matrix_value (bool) const |
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191 { |
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192 return SparseComplexMatrix (this->matrix); |
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193 } |
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194 |
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195 bool |
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196 octave_sparse_bool_matrix::save_binary (std::ostream& os, bool&) |
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197 { |
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198 dim_vector d = this->dims (); |
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199 if (d.length() < 1) |
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200 return false; |
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201 |
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202 // Ensure that additional memory is deallocated |
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203 matrix.maybe_compress (); |
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204 |
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205 int nr = d(0); |
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206 int nc = d(1); |
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207 int nz = nzmax (); |
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208 |
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209 int32_t itmp; |
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210 // Use negative value for ndims to be consistent with other formats |
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211 itmp= -2; |
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212 os.write (reinterpret_cast<char *> (&itmp), 4); |
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213 |
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214 itmp= nr; |
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215 os.write (reinterpret_cast<char *> (&itmp), 4); |
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216 |
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217 itmp= nc; |
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218 os.write (reinterpret_cast<char *> (&itmp), 4); |
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219 |
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220 itmp= nz; |
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221 os.write (reinterpret_cast<char *> (&itmp), 4); |
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222 |
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223 // add one to the printed indices to go from |
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224 // zero-based to one-based arrays |
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225 for (int i = 0; i < nc+1; i++) |
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226 { |
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227 OCTAVE_QUIT; |
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228 itmp = matrix.cidx(i); |
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229 os.write (reinterpret_cast<char *> (&itmp), 4); |
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230 } |
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231 |
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232 for (int i = 0; i < nz; i++) |
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233 { |
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234 OCTAVE_QUIT; |
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235 itmp = matrix.ridx(i); |
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236 os.write (reinterpret_cast<char *> (&itmp), 4); |
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237 } |
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238 |
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239 OCTAVE_LOCAL_BUFFER (char, htmp, nz); |
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240 |
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241 for (int i = 0; i < nz; i++) |
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242 htmp[i] = (matrix.data (i) ? 1 : 0); |
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243 |
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244 os.write (htmp, nz); |
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245 |
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246 return true; |
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247 } |
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248 |
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249 bool |
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250 octave_sparse_bool_matrix::load_binary (std::istream& is, bool swap, |
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251 oct_mach_info::float_format /* fmt */) |
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252 { |
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253 int32_t nz, nc, nr, tmp; |
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254 if (! is.read (reinterpret_cast<char *> (&tmp), 4)) |
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255 return false; |
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256 |
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257 if (swap) |
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258 swap_bytes<4> (&tmp); |
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259 |
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260 if (tmp != -2) { |
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261 error("load: only 2D sparse matrices are supported"); |
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262 return false; |
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263 } |
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264 |
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265 if (! is.read (reinterpret_cast<char *> (&nr), 4)) |
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266 return false; |
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267 if (! is.read (reinterpret_cast<char *> (&nc), 4)) |
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268 return false; |
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269 if (! is.read (reinterpret_cast<char *> (&nz), 4)) |
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270 return false; |
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271 |
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272 if (swap) |
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273 { |
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274 swap_bytes<4> (&nr); |
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275 swap_bytes<4> (&nc); |
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276 swap_bytes<4> (&nz); |
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277 } |
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278 |
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279 SparseBoolMatrix m (static_cast<octave_idx_type> (nr), |
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280 static_cast<octave_idx_type> (nc), |
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281 static_cast<octave_idx_type> (nz)); |
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282 |
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283 for (int i = 0; i < nc+1; i++) |
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284 { |
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285 OCTAVE_QUIT; |
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286 if (! is.read (reinterpret_cast<char *> (&tmp), 4)) |
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287 return false; |
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288 if (swap) |
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289 swap_bytes<4> (&tmp); |
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290 m.cidx(i) = tmp; |
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291 } |
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292 |
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293 for (int i = 0; i < nz; i++) |
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294 { |
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295 OCTAVE_QUIT; |
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296 if (! is.read (reinterpret_cast<char *> (&tmp), 4)) |
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297 return false; |
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298 if (swap) |
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299 swap_bytes<4> (&tmp); |
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300 m.ridx(i) = tmp; |
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301 } |
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302 |
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303 if (error_state || ! is) |
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304 return false; |
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305 |
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306 OCTAVE_LOCAL_BUFFER (char, htmp, nz); |
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307 |
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308 if (! is.read (htmp, nz)) |
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309 return false; |
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310 |
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311 for (int i = 0; i < nz; i++) |
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312 m.data(i) = (htmp[i] ? 1 : 0); |
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313 |
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314 matrix = m; |
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315 |
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316 return true; |
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317 } |
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318 |
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319 #if defined (HAVE_HDF5) |
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320 |
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321 bool |
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322 octave_sparse_bool_matrix::save_hdf5 (hid_t loc_id, const char *name, bool) |
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323 { |
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324 dim_vector dv = dims (); |
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325 int empty = save_hdf5_empty (loc_id, name, dv); |
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326 if (empty) |
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327 return (empty > 0); |
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328 |
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329 // Ensure that additional memory is deallocated |
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330 matrix.maybe_compress (); |
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331 |
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332 hid_t group_hid = H5Gcreate (loc_id, name, 0); |
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333 if (group_hid < 0) |
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334 return false; |
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335 |
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336 hid_t space_hid = -1, data_hid = -1; |
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337 bool retval = true; |
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338 SparseBoolMatrix m = sparse_bool_matrix_value (); |
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339 octave_idx_type tmp; |
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340 hsize_t hdims[2]; |
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341 |
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342 space_hid = H5Screate_simple (0, hdims, 0); |
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343 if (space_hid < 0) |
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344 { |
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345 H5Gclose (group_hid); |
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346 return false; |
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347 } |
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348 |
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349 data_hid = H5Dcreate (group_hid, "nr", H5T_NATIVE_IDX, space_hid, |
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350 H5P_DEFAULT); |
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351 if (data_hid < 0) |
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352 { |
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353 H5Sclose (space_hid); |
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354 H5Gclose (group_hid); |
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355 return false; |
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356 } |
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357 |
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358 tmp = m.rows (); |
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359 retval = H5Dwrite (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, &tmp) >= 0; |
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360 H5Dclose (data_hid); |
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361 if (!retval) |
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362 { |
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363 H5Sclose (space_hid); |
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364 H5Gclose (group_hid); |
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365 return false; |
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366 } |
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367 |
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368 data_hid = H5Dcreate (group_hid, "nc", H5T_NATIVE_IDX, space_hid, |
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369 H5P_DEFAULT); |
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370 if (data_hid < 0) |
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371 { |
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372 H5Sclose (space_hid); |
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373 H5Gclose (group_hid); |
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374 return false; |
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375 } |
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376 |
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377 tmp = m.cols (); |
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378 retval = H5Dwrite (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, |
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379 H5P_DEFAULT, &tmp) >= 0; |
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380 H5Dclose (data_hid); |
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381 if (!retval) |
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382 { |
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383 H5Sclose (space_hid); |
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384 H5Gclose (group_hid); |
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385 return false; |
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386 } |
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387 |
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388 data_hid = H5Dcreate (group_hid, "nz", H5T_NATIVE_IDX, space_hid, |
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389 H5P_DEFAULT); |
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390 if (data_hid < 0) |
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391 { |
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392 H5Sclose (space_hid); |
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393 H5Gclose (group_hid); |
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394 return false; |
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395 } |
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396 |
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397 tmp = m.nzmax (); |
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398 retval = H5Dwrite (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, |
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399 H5P_DEFAULT, &tmp) >= 0; |
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400 H5Dclose (data_hid); |
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401 if (!retval) |
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402 { |
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403 H5Sclose (space_hid); |
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404 H5Gclose (group_hid); |
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405 return false; |
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406 } |
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407 |
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408 H5Sclose (space_hid); |
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409 |
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410 hdims[0] = m.cols() + 1; |
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411 hdims[1] = 1; |
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412 |
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413 space_hid = H5Screate_simple (2, hdims, 0); |
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414 |
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415 if (space_hid < 0) |
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416 { |
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417 H5Gclose (group_hid); |
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418 return false; |
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419 } |
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420 |
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421 data_hid = H5Dcreate (group_hid, "cidx", H5T_NATIVE_IDX, space_hid, |
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422 H5P_DEFAULT); |
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423 if (data_hid < 0) |
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424 { |
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425 H5Sclose (space_hid); |
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426 H5Gclose (group_hid); |
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427 return false; |
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428 } |
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429 |
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5351
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430 octave_idx_type * itmp = m.xcidx (); |
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431 retval = H5Dwrite (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, |
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432 H5P_DEFAULT, itmp) >= 0; |
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433 H5Dclose (data_hid); |
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434 if (!retval) |
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435 { |
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436 H5Sclose (space_hid); |
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437 H5Gclose (group_hid); |
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438 return false; |
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439 } |
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440 |
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441 H5Sclose (space_hid); |
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442 |
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443 hdims[0] = m.nzmax (); |
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444 hdims[1] = 1; |
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445 |
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446 space_hid = H5Screate_simple (2, hdims, 0); |
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447 |
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448 if (space_hid < 0) |
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449 { |
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450 H5Gclose (group_hid); |
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451 return false; |
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452 } |
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453 |
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5351
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454 data_hid = H5Dcreate (group_hid, "ridx", H5T_NATIVE_IDX, space_hid, |
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5164
|
455 H5P_DEFAULT); |
|
|
456 if (data_hid < 0) |
|
|
457 { |
|
|
458 H5Sclose (space_hid); |
|
|
459 H5Gclose (group_hid); |
|
|
460 return false; |
|
|
461 } |
|
|
462 |
|
|
463 itmp = m.xridx (); |
|
5351
|
464 retval = H5Dwrite (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, |
|
5760
|
465 H5P_DEFAULT, itmp) >= 0; |
|
5164
|
466 H5Dclose (data_hid); |
|
|
467 if (!retval) |
|
|
468 { |
|
|
469 H5Sclose (space_hid); |
|
|
470 H5Gclose (group_hid); |
|
|
471 return false; |
|
|
472 } |
|
|
473 |
|
|
474 data_hid = H5Dcreate (group_hid, "data", H5T_NATIVE_HBOOL, space_hid, |
|
|
475 H5P_DEFAULT); |
|
|
476 if (data_hid < 0) |
|
|
477 { |
|
|
478 H5Sclose (space_hid); |
|
|
479 H5Gclose (group_hid); |
|
|
480 return false; |
|
|
481 } |
|
|
482 |
|
5604
|
483 hbool_t htmp[m.nzmax ()]; |
|
|
484 for (int i = 0; i < m.nzmax (); i++) |
|
5164
|
485 htmp[i] = m.xdata(i); |
|
|
486 |
|
|
487 retval = H5Dwrite (data_hid, H5T_NATIVE_HBOOL, H5S_ALL, H5S_ALL, |
|
5760
|
488 H5P_DEFAULT, htmp) >= 0; |
|
5164
|
489 H5Dclose (data_hid); |
|
|
490 H5Sclose (space_hid); |
|
|
491 H5Gclose (group_hid); |
|
|
492 |
|
|
493 return retval; |
|
|
494 } |
|
|
495 |
|
|
496 bool |
|
|
497 octave_sparse_bool_matrix::load_hdf5 (hid_t loc_id, const char *name, |
|
|
498 bool /* have_h5giterate_bug */) |
|
|
499 { |
|
5351
|
500 octave_idx_type nr, nc, nz; |
|
5164
|
501 hid_t group_hid, data_hid, space_hid; |
|
|
502 hsize_t rank; |
|
|
503 |
|
|
504 dim_vector dv; |
|
|
505 int empty = load_hdf5_empty (loc_id, name, dv); |
|
|
506 if (empty > 0) |
|
|
507 matrix.resize(dv); |
|
|
508 if (empty) |
|
|
509 return (empty > 0); |
|
|
510 |
|
|
511 group_hid = H5Gopen (loc_id, name); |
|
|
512 if (group_hid < 0 ) return false; |
|
|
513 |
|
|
514 data_hid = H5Dopen (group_hid, "nr"); |
|
|
515 space_hid = H5Dget_space (data_hid); |
|
|
516 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
517 |
|
|
518 if (rank != 0) |
|
|
519 { |
|
|
520 H5Dclose (data_hid); |
|
|
521 H5Gclose (group_hid); |
|
|
522 return false; |
|
|
523 } |
|
|
524 |
|
5760
|
525 if (H5Dread (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, &nr) < 0) |
|
5164
|
526 { |
|
|
527 H5Dclose (data_hid); |
|
|
528 H5Gclose (group_hid); |
|
|
529 return false; |
|
|
530 } |
|
|
531 |
|
|
532 H5Dclose (data_hid); |
|
|
533 |
|
|
534 data_hid = H5Dopen (group_hid, "nc"); |
|
|
535 space_hid = H5Dget_space (data_hid); |
|
|
536 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
537 |
|
|
538 if (rank != 0) |
|
|
539 { |
|
|
540 H5Dclose (data_hid); |
|
|
541 H5Gclose (group_hid); |
|
|
542 return false; |
|
|
543 } |
|
|
544 |
|
5760
|
545 if (H5Dread (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, &nc) < 0) |
|
5164
|
546 { |
|
|
547 H5Dclose (data_hid); |
|
|
548 H5Gclose (group_hid); |
|
|
549 return false; |
|
|
550 } |
|
|
551 |
|
|
552 H5Dclose (data_hid); |
|
|
553 |
|
|
554 data_hid = H5Dopen (group_hid, "nz"); |
|
|
555 space_hid = H5Dget_space (data_hid); |
|
|
556 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
557 |
|
|
558 if (rank != 0) |
|
|
559 { |
|
|
560 H5Dclose (data_hid); |
|
|
561 H5Gclose (group_hid); |
|
|
562 return false; |
|
|
563 } |
|
|
564 |
|
5760
|
565 if (H5Dread (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, &nz) < 0) |
|
5164
|
566 { |
|
|
567 H5Dclose (data_hid); |
|
|
568 H5Gclose (group_hid); |
|
|
569 return false; |
|
|
570 } |
|
|
571 |
|
|
572 H5Dclose (data_hid); |
|
|
573 |
|
5275
|
574 SparseBoolMatrix m (static_cast<octave_idx_type> (nr), |
|
|
575 static_cast<octave_idx_type> (nc), |
|
|
576 static_cast<octave_idx_type> (nz)); |
|
5164
|
577 |
|
|
578 data_hid = H5Dopen (group_hid, "cidx"); |
|
|
579 space_hid = H5Dget_space (data_hid); |
|
|
580 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
581 |
|
|
582 if (rank != 2) |
|
|
583 { |
|
|
584 H5Sclose (space_hid); |
|
|
585 H5Dclose (data_hid); |
|
|
586 H5Gclose (group_hid); |
|
|
587 return false; |
|
|
588 } |
|
|
589 |
|
|
590 OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank); |
|
|
591 OCTAVE_LOCAL_BUFFER (hsize_t, maxdims, rank); |
|
|
592 |
|
|
593 H5Sget_simple_extent_dims (space_hid, hdims, maxdims); |
|
|
594 |
|
5322
|
595 if (static_cast<int> (hdims[0]) != nc + 1 || |
|
|
596 static_cast<int> (hdims[1]) != 1) |
|
5164
|
597 { |
|
|
598 H5Sclose (space_hid); |
|
|
599 H5Dclose (data_hid); |
|
|
600 H5Gclose (group_hid); |
|
|
601 return false; |
|
|
602 } |
|
|
603 |
|
5351
|
604 octave_idx_type *itmp = m.xcidx (); |
|
5760
|
605 if (H5Dread (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, itmp) < 0) |
|
5164
|
606 { |
|
|
607 H5Sclose (space_hid); |
|
|
608 H5Dclose (data_hid); |
|
|
609 H5Gclose (group_hid); |
|
|
610 return false; |
|
|
611 } |
|
|
612 |
|
|
613 H5Sclose (space_hid); |
|
|
614 H5Dclose (data_hid); |
|
|
615 |
|
|
616 data_hid = H5Dopen (group_hid, "ridx"); |
|
|
617 space_hid = H5Dget_space (data_hid); |
|
|
618 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
619 |
|
|
620 if (rank != 2) |
|
|
621 { |
|
|
622 H5Sclose (space_hid); |
|
|
623 H5Dclose (data_hid); |
|
|
624 H5Gclose (group_hid); |
|
|
625 return false; |
|
|
626 } |
|
|
627 |
|
|
628 H5Sget_simple_extent_dims (space_hid, hdims, maxdims); |
|
|
629 |
|
5351
|
630 if (static_cast<int> (hdims[0]) != nz || |
|
|
631 static_cast<int> (hdims[1]) != 1) |
|
5164
|
632 { |
|
|
633 H5Sclose (space_hid); |
|
|
634 H5Dclose (data_hid); |
|
|
635 H5Gclose (group_hid); |
|
|
636 return false; |
|
|
637 } |
|
|
638 |
|
|
639 itmp = m.xridx (); |
|
5760
|
640 if (H5Dread (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, itmp) < 0) |
|
5164
|
641 { |
|
|
642 H5Sclose (space_hid); |
|
|
643 H5Dclose (data_hid); |
|
|
644 H5Gclose (group_hid); |
|
|
645 return false; |
|
|
646 } |
|
|
647 |
|
|
648 H5Sclose (space_hid); |
|
|
649 H5Dclose (data_hid); |
|
|
650 |
|
|
651 data_hid = H5Dopen (group_hid, "data"); |
|
|
652 space_hid = H5Dget_space (data_hid); |
|
|
653 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
654 |
|
|
655 if (rank != 2) |
|
|
656 { |
|
|
657 H5Sclose (space_hid); |
|
|
658 H5Dclose (data_hid); |
|
|
659 H5Gclose (group_hid); |
|
|
660 return false; |
|
|
661 } |
|
|
662 |
|
|
663 H5Sget_simple_extent_dims (space_hid, hdims, maxdims); |
|
|
664 |
|
5351
|
665 if (static_cast<int> (hdims[0]) != nz || |
|
|
666 static_cast<int> (hdims[1]) != 1) |
|
5164
|
667 { |
|
|
668 H5Sclose (space_hid); |
|
|
669 H5Dclose (data_hid); |
|
|
670 H5Gclose (group_hid); |
|
|
671 return false; |
|
|
672 } |
|
|
673 |
|
|
674 hbool_t htmp[nz]; |
|
|
675 bool retval = false; |
|
5760
|
676 if (H5Dread (data_hid, H5T_NATIVE_HBOOL, H5S_ALL, H5S_ALL, H5P_DEFAULT, htmp) >= 0) |
|
5164
|
677 { |
|
|
678 retval = true; |
|
|
679 |
|
|
680 for (int i = 0; i < nz; i++) |
|
|
681 m.xdata(i) = htmp[i]; |
|
|
682 |
|
|
683 matrix = m; |
|
|
684 } |
|
|
685 |
|
|
686 H5Sclose (space_hid); |
|
|
687 H5Dclose (data_hid); |
|
|
688 H5Gclose (group_hid); |
|
|
689 |
|
|
690 return retval; |
|
|
691 } |
|
5900
|
692 |
|
5164
|
693 #endif |
|
|
694 |
|
5900
|
695 mxArray * |
|
|
696 octave_sparse_bool_matrix::as_mxArray (void) const |
|
|
697 { |
|
5903
|
698 int nz = nzmax (); |
|
|
699 mxArray *retval = new mxArray (mxLOGICAL_CLASS, rows (), columns (), |
|
|
700 nz, mxREAL); |
|
|
701 bool *pr = static_cast<bool *> (retval->get_data ()); |
|
|
702 int *ir = retval->get_ir (); |
|
|
703 int *jc = retval->get_jc (); |
|
|
704 |
|
|
705 for (int i = 0; i < nz; i++) |
|
|
706 { |
|
|
707 pr[i] = matrix.data(i); |
|
|
708 ir[i] = matrix.ridx(i); |
|
|
709 } |
|
|
710 |
|
|
711 for (int i = 0; i < columns () + 1; i++) |
|
|
712 jc[i] = matrix.cidx(i); |
|
|
713 |
|
|
714 return retval; |
|
5900
|
715 } |
|
|
716 |
|
5164
|
717 /* |
|
|
718 ;;; Local Variables: *** |
|
|
719 ;;; mode: C++ *** |
|
|
720 ;;; End: *** |
|
|
721 */ |
