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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 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 gripe_implicit_conversion ("Octave:array-as-scalar", |
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104 "bool sparse matrix", "real scalar"); |
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105 |
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106 retval = matrix (0, 0); |
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107 } |
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108 else |
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109 gripe_invalid_conversion ("bool sparse matrix", "real scalar"); |
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110 |
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111 return retval; |
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112 } |
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113 |
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114 Complex |
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115 octave_sparse_bool_matrix::complex_value (bool) const |
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116 { |
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117 double tmp = lo_ieee_nan_value (); |
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118 |
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119 Complex retval (tmp, tmp); |
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120 |
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121 if (rows () > 0 && columns () > 0) |
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122 { |
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123 gripe_implicit_conversion ("Octave:array-as-scalar", |
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124 "bool sparse matrix", "complex scalar"); |
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125 |
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126 retval = matrix (0, 0); |
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127 } |
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128 else |
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129 gripe_invalid_conversion ("bool sparse matrix", "complex scalar"); |
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130 |
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131 return retval; |
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132 } |
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133 |
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134 octave_value |
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135 octave_sparse_bool_matrix::convert_to_str_internal (bool pad, bool force, |
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136 char type) const |
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137 { |
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138 octave_value tmp = octave_value (array_value ()); |
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139 return tmp.convert_to_str (pad, force, type); |
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140 } |
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141 |
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142 // FIXME These are inefficient ways of creating full matrices |
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143 |
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144 Matrix |
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145 octave_sparse_bool_matrix::matrix_value (bool) const |
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146 { |
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147 return Matrix (matrix.matrix_value ()); |
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148 } |
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149 |
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150 ComplexMatrix |
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151 octave_sparse_bool_matrix::complex_matrix_value (bool) const |
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152 { |
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153 return ComplexMatrix (matrix.matrix_value ()); |
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154 } |
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155 |
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156 ComplexNDArray |
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157 octave_sparse_bool_matrix::complex_array_value (bool) const |
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158 { |
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159 return ComplexNDArray (ComplexMatrix (matrix.matrix_value ())); |
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160 } |
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161 |
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162 NDArray |
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163 octave_sparse_bool_matrix::array_value (bool) const |
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164 { |
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165 return NDArray (Matrix(matrix.matrix_value ())); |
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166 } |
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167 |
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168 boolMatrix |
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169 octave_sparse_bool_matrix::bool_matrix_value (void) const |
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170 { |
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171 return matrix.matrix_value (); |
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172 } |
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173 |
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174 boolNDArray |
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175 octave_sparse_bool_matrix::bool_array_value (void) const |
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176 { |
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177 return boolNDArray (matrix.matrix_value ()); |
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178 } |
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179 |
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180 |
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181 SparseMatrix |
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182 octave_sparse_bool_matrix::sparse_matrix_value (bool) const |
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183 { |
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184 return SparseMatrix (this->matrix); |
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185 } |
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186 |
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187 SparseComplexMatrix |
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188 octave_sparse_bool_matrix::sparse_complex_matrix_value (bool) const |
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189 { |
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190 return SparseComplexMatrix (this->matrix); |
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191 } |
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192 |
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193 bool |
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194 octave_sparse_bool_matrix::save_binary (std::ostream& os, bool&) |
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195 { |
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196 dim_vector d = this->dims (); |
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197 if (d.length() < 1) |
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198 return false; |
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199 |
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200 // Ensure that additional memory is deallocated |
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201 matrix.maybe_compress (); |
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202 |
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203 int nr = d(0); |
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204 int nc = d(1); |
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205 int nz = nzmax (); |
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206 |
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207 int32_t itmp; |
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208 // Use negative value for ndims to be consistent with other formats |
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209 itmp= -2; |
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210 os.write (reinterpret_cast<char *> (&itmp), 4); |
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211 |
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212 itmp= nr; |
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213 os.write (reinterpret_cast<char *> (&itmp), 4); |
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214 |
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215 itmp= nc; |
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216 os.write (reinterpret_cast<char *> (&itmp), 4); |
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217 |
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218 itmp= nz; |
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219 os.write (reinterpret_cast<char *> (&itmp), 4); |
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220 |
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221 // add one to the printed indices to go from |
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222 // zero-based to one-based arrays |
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223 for (int i = 0; i < nc+1; i++) |
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224 { |
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225 OCTAVE_QUIT; |
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226 itmp = matrix.cidx(i); |
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227 os.write (reinterpret_cast<char *> (&itmp), 4); |
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228 } |
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229 |
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230 for (int i = 0; i < nz; i++) |
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231 { |
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232 OCTAVE_QUIT; |
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233 itmp = matrix.ridx(i); |
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234 os.write (reinterpret_cast<char *> (&itmp), 4); |
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235 } |
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236 |
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237 OCTAVE_LOCAL_BUFFER (char, htmp, nz); |
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238 |
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239 for (int i = 0; i < nz; i++) |
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240 htmp[i] = (matrix.data (i) ? 1 : 0); |
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241 |
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242 os.write (htmp, nz); |
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243 |
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244 return true; |
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245 } |
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246 |
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247 bool |
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248 octave_sparse_bool_matrix::load_binary (std::istream& is, bool swap, |
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249 oct_mach_info::float_format /* fmt */) |
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250 { |
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251 int32_t nz, nc, nr, tmp; |
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252 if (! is.read (reinterpret_cast<char *> (&tmp), 4)) |
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253 return false; |
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254 |
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255 if (swap) |
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256 swap_bytes<4> (&tmp); |
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257 |
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258 if (tmp != -2) { |
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259 error("load: only 2D sparse matrices are supported"); |
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260 return false; |
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261 } |
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262 |
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263 if (! is.read (reinterpret_cast<char *> (&nr), 4)) |
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264 return false; |
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265 if (! is.read (reinterpret_cast<char *> (&nc), 4)) |
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266 return false; |
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267 if (! is.read (reinterpret_cast<char *> (&nz), 4)) |
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268 return false; |
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269 |
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270 if (swap) |
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271 { |
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272 swap_bytes<4> (&nr); |
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273 swap_bytes<4> (&nc); |
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274 swap_bytes<4> (&nz); |
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275 } |
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276 |
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277 SparseBoolMatrix m (static_cast<octave_idx_type> (nr), |
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278 static_cast<octave_idx_type> (nc), |
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279 static_cast<octave_idx_type> (nz)); |
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280 |
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281 for (int i = 0; i < nc+1; i++) |
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282 { |
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283 OCTAVE_QUIT; |
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284 if (! is.read (reinterpret_cast<char *> (&tmp), 4)) |
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285 return false; |
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286 if (swap) |
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287 swap_bytes<4> (&tmp); |
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288 m.cidx(i) = tmp; |
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289 } |
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290 |
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291 for (int i = 0; i < nz; i++) |
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292 { |
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293 OCTAVE_QUIT; |
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294 if (! is.read (reinterpret_cast<char *> (&tmp), 4)) |
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295 return false; |
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296 if (swap) |
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297 swap_bytes<4> (&tmp); |
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298 m.ridx(i) = tmp; |
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299 } |
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300 |
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301 if (error_state || ! is) |
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302 return false; |
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303 |
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304 OCTAVE_LOCAL_BUFFER (char, htmp, nz); |
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305 |
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306 if (! is.read (htmp, nz)) |
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307 return false; |
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308 |
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309 for (int i = 0; i < nz; i++) |
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310 m.data(i) = (htmp[i] ? 1 : 0); |
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311 |
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312 matrix = m; |
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313 |
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314 return true; |
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315 } |
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316 |
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317 #if defined (HAVE_HDF5) |
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318 |
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319 bool |
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320 octave_sparse_bool_matrix::save_hdf5 (hid_t loc_id, const char *name, bool) |
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321 { |
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322 dim_vector dv = dims (); |
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323 int empty = save_hdf5_empty (loc_id, name, dv); |
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324 if (empty) |
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325 return (empty > 0); |
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326 |
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327 // Ensure that additional memory is deallocated |
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328 matrix.maybe_compress (); |
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329 |
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330 hid_t group_hid = H5Gcreate (loc_id, name, 0); |
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331 if (group_hid < 0) |
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332 return false; |
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333 |
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334 hid_t space_hid = -1, data_hid = -1; |
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335 bool retval = true; |
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336 SparseBoolMatrix m = sparse_bool_matrix_value (); |
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337 octave_idx_type tmp; |
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338 hsize_t hdims[2]; |
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339 |
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340 space_hid = H5Screate_simple (0, hdims, 0); |
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341 if (space_hid < 0) |
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342 { |
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343 H5Gclose (group_hid); |
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344 return false; |
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345 } |
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346 |
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347 data_hid = H5Dcreate (group_hid, "nr", H5T_NATIVE_IDX, space_hid, |
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348 H5P_DEFAULT); |
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349 if (data_hid < 0) |
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350 { |
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351 H5Sclose (space_hid); |
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352 H5Gclose (group_hid); |
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353 return false; |
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354 } |
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355 |
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356 tmp = m.rows (); |
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357 retval = H5Dwrite (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, &tmp) >= 0; |
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358 H5Dclose (data_hid); |
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359 if (!retval) |
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360 { |
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361 H5Sclose (space_hid); |
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362 H5Gclose (group_hid); |
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363 return false; |
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364 } |
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365 |
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366 data_hid = H5Dcreate (group_hid, "nc", H5T_NATIVE_IDX, space_hid, |
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367 H5P_DEFAULT); |
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368 if (data_hid < 0) |
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369 { |
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370 H5Sclose (space_hid); |
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371 H5Gclose (group_hid); |
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372 return false; |
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373 } |
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374 |
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375 tmp = m.cols (); |
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376 retval = H5Dwrite (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, |
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377 H5P_DEFAULT, &tmp) >= 0; |
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378 H5Dclose (data_hid); |
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379 if (!retval) |
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380 { |
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381 H5Sclose (space_hid); |
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382 H5Gclose (group_hid); |
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383 return false; |
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384 } |
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385 |
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386 data_hid = H5Dcreate (group_hid, "nz", H5T_NATIVE_IDX, space_hid, |
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387 H5P_DEFAULT); |
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388 if (data_hid < 0) |
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389 { |
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390 H5Sclose (space_hid); |
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391 H5Gclose (group_hid); |
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392 return false; |
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393 } |
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394 |
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395 tmp = m.nzmax (); |
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396 retval = H5Dwrite (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, |
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397 H5P_DEFAULT, &tmp) >= 0; |
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398 H5Dclose (data_hid); |
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399 if (!retval) |
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400 { |
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401 H5Sclose (space_hid); |
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402 H5Gclose (group_hid); |
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403 return false; |
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404 } |
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405 |
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406 H5Sclose (space_hid); |
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407 |
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408 hdims[0] = m.cols() + 1; |
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409 hdims[1] = 1; |
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410 |
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411 space_hid = H5Screate_simple (2, hdims, 0); |
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412 |
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413 if (space_hid < 0) |
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414 { |
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415 H5Gclose (group_hid); |
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416 return false; |
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417 } |
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418 |
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419 data_hid = H5Dcreate (group_hid, "cidx", H5T_NATIVE_IDX, space_hid, |
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420 H5P_DEFAULT); |
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421 if (data_hid < 0) |
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422 { |
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423 H5Sclose (space_hid); |
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424 H5Gclose (group_hid); |
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425 return false; |
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426 } |
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427 |
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428 octave_idx_type * itmp = m.xcidx (); |
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429 retval = H5Dwrite (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, |
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430 H5P_DEFAULT, itmp) >= 0; |
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431 H5Dclose (data_hid); |
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432 if (!retval) |
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433 { |
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434 H5Sclose (space_hid); |
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435 H5Gclose (group_hid); |
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436 return false; |
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437 } |
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438 |
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439 H5Sclose (space_hid); |
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440 |
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441 hdims[0] = m.nzmax (); |
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442 hdims[1] = 1; |
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443 |
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444 space_hid = H5Screate_simple (2, hdims, 0); |
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445 |
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446 if (space_hid < 0) |
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447 { |
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448 H5Gclose (group_hid); |
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449 return false; |
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450 } |
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451 |
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5351
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452 data_hid = H5Dcreate (group_hid, "ridx", H5T_NATIVE_IDX, space_hid, |
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5164
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453 H5P_DEFAULT); |
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454 if (data_hid < 0) |
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455 { |
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456 H5Sclose (space_hid); |
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457 H5Gclose (group_hid); |
|
|
458 return false; |
|
|
459 } |
|
|
460 |
|
|
461 itmp = m.xridx (); |
|
5351
|
462 retval = H5Dwrite (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, |
|
5760
|
463 H5P_DEFAULT, itmp) >= 0; |
|
5164
|
464 H5Dclose (data_hid); |
|
|
465 if (!retval) |
|
|
466 { |
|
|
467 H5Sclose (space_hid); |
|
|
468 H5Gclose (group_hid); |
|
|
469 return false; |
|
|
470 } |
|
|
471 |
|
|
472 data_hid = H5Dcreate (group_hid, "data", H5T_NATIVE_HBOOL, space_hid, |
|
|
473 H5P_DEFAULT); |
|
|
474 if (data_hid < 0) |
|
|
475 { |
|
|
476 H5Sclose (space_hid); |
|
|
477 H5Gclose (group_hid); |
|
|
478 return false; |
|
|
479 } |
|
|
480 |
|
5604
|
481 hbool_t htmp[m.nzmax ()]; |
|
|
482 for (int i = 0; i < m.nzmax (); i++) |
|
5164
|
483 htmp[i] = m.xdata(i); |
|
|
484 |
|
|
485 retval = H5Dwrite (data_hid, H5T_NATIVE_HBOOL, H5S_ALL, H5S_ALL, |
|
5760
|
486 H5P_DEFAULT, htmp) >= 0; |
|
5164
|
487 H5Dclose (data_hid); |
|
|
488 H5Sclose (space_hid); |
|
|
489 H5Gclose (group_hid); |
|
|
490 |
|
|
491 return retval; |
|
|
492 } |
|
|
493 |
|
|
494 bool |
|
|
495 octave_sparse_bool_matrix::load_hdf5 (hid_t loc_id, const char *name, |
|
|
496 bool /* have_h5giterate_bug */) |
|
|
497 { |
|
5351
|
498 octave_idx_type nr, nc, nz; |
|
5164
|
499 hid_t group_hid, data_hid, space_hid; |
|
|
500 hsize_t rank; |
|
|
501 |
|
|
502 dim_vector dv; |
|
|
503 int empty = load_hdf5_empty (loc_id, name, dv); |
|
|
504 if (empty > 0) |
|
|
505 matrix.resize(dv); |
|
|
506 if (empty) |
|
|
507 return (empty > 0); |
|
|
508 |
|
|
509 group_hid = H5Gopen (loc_id, name); |
|
|
510 if (group_hid < 0 ) return false; |
|
|
511 |
|
|
512 data_hid = H5Dopen (group_hid, "nr"); |
|
|
513 space_hid = H5Dget_space (data_hid); |
|
|
514 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
515 |
|
|
516 if (rank != 0) |
|
|
517 { |
|
|
518 H5Dclose (data_hid); |
|
|
519 H5Gclose (group_hid); |
|
|
520 return false; |
|
|
521 } |
|
|
522 |
|
5760
|
523 if (H5Dread (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, &nr) < 0) |
|
5164
|
524 { |
|
|
525 H5Dclose (data_hid); |
|
|
526 H5Gclose (group_hid); |
|
|
527 return false; |
|
|
528 } |
|
|
529 |
|
|
530 H5Dclose (data_hid); |
|
|
531 |
|
|
532 data_hid = H5Dopen (group_hid, "nc"); |
|
|
533 space_hid = H5Dget_space (data_hid); |
|
|
534 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
535 |
|
|
536 if (rank != 0) |
|
|
537 { |
|
|
538 H5Dclose (data_hid); |
|
|
539 H5Gclose (group_hid); |
|
|
540 return false; |
|
|
541 } |
|
|
542 |
|
5760
|
543 if (H5Dread (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, &nc) < 0) |
|
5164
|
544 { |
|
|
545 H5Dclose (data_hid); |
|
|
546 H5Gclose (group_hid); |
|
|
547 return false; |
|
|
548 } |
|
|
549 |
|
|
550 H5Dclose (data_hid); |
|
|
551 |
|
|
552 data_hid = H5Dopen (group_hid, "nz"); |
|
|
553 space_hid = H5Dget_space (data_hid); |
|
|
554 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
555 |
|
|
556 if (rank != 0) |
|
|
557 { |
|
|
558 H5Dclose (data_hid); |
|
|
559 H5Gclose (group_hid); |
|
|
560 return false; |
|
|
561 } |
|
|
562 |
|
5760
|
563 if (H5Dread (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, &nz) < 0) |
|
5164
|
564 { |
|
|
565 H5Dclose (data_hid); |
|
|
566 H5Gclose (group_hid); |
|
|
567 return false; |
|
|
568 } |
|
|
569 |
|
|
570 H5Dclose (data_hid); |
|
|
571 |
|
5275
|
572 SparseBoolMatrix m (static_cast<octave_idx_type> (nr), |
|
|
573 static_cast<octave_idx_type> (nc), |
|
|
574 static_cast<octave_idx_type> (nz)); |
|
5164
|
575 |
|
|
576 data_hid = H5Dopen (group_hid, "cidx"); |
|
|
577 space_hid = H5Dget_space (data_hid); |
|
|
578 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
579 |
|
|
580 if (rank != 2) |
|
|
581 { |
|
|
582 H5Sclose (space_hid); |
|
|
583 H5Dclose (data_hid); |
|
|
584 H5Gclose (group_hid); |
|
|
585 return false; |
|
|
586 } |
|
|
587 |
|
|
588 OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank); |
|
|
589 OCTAVE_LOCAL_BUFFER (hsize_t, maxdims, rank); |
|
|
590 |
|
|
591 H5Sget_simple_extent_dims (space_hid, hdims, maxdims); |
|
|
592 |
|
5322
|
593 if (static_cast<int> (hdims[0]) != nc + 1 || |
|
|
594 static_cast<int> (hdims[1]) != 1) |
|
5164
|
595 { |
|
|
596 H5Sclose (space_hid); |
|
|
597 H5Dclose (data_hid); |
|
|
598 H5Gclose (group_hid); |
|
|
599 return false; |
|
|
600 } |
|
|
601 |
|
5351
|
602 octave_idx_type *itmp = m.xcidx (); |
|
5760
|
603 if (H5Dread (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, itmp) < 0) |
|
5164
|
604 { |
|
|
605 H5Sclose (space_hid); |
|
|
606 H5Dclose (data_hid); |
|
|
607 H5Gclose (group_hid); |
|
|
608 return false; |
|
|
609 } |
|
|
610 |
|
|
611 H5Sclose (space_hid); |
|
|
612 H5Dclose (data_hid); |
|
|
613 |
|
|
614 data_hid = H5Dopen (group_hid, "ridx"); |
|
|
615 space_hid = H5Dget_space (data_hid); |
|
|
616 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
617 |
|
|
618 if (rank != 2) |
|
|
619 { |
|
|
620 H5Sclose (space_hid); |
|
|
621 H5Dclose (data_hid); |
|
|
622 H5Gclose (group_hid); |
|
|
623 return false; |
|
|
624 } |
|
|
625 |
|
|
626 H5Sget_simple_extent_dims (space_hid, hdims, maxdims); |
|
|
627 |
|
5351
|
628 if (static_cast<int> (hdims[0]) != nz || |
|
|
629 static_cast<int> (hdims[1]) != 1) |
|
5164
|
630 { |
|
|
631 H5Sclose (space_hid); |
|
|
632 H5Dclose (data_hid); |
|
|
633 H5Gclose (group_hid); |
|
|
634 return false; |
|
|
635 } |
|
|
636 |
|
|
637 itmp = m.xridx (); |
|
5760
|
638 if (H5Dread (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, itmp) < 0) |
|
5164
|
639 { |
|
|
640 H5Sclose (space_hid); |
|
|
641 H5Dclose (data_hid); |
|
|
642 H5Gclose (group_hid); |
|
|
643 return false; |
|
|
644 } |
|
|
645 |
|
|
646 H5Sclose (space_hid); |
|
|
647 H5Dclose (data_hid); |
|
|
648 |
|
|
649 data_hid = H5Dopen (group_hid, "data"); |
|
|
650 space_hid = H5Dget_space (data_hid); |
|
|
651 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
652 |
|
|
653 if (rank != 2) |
|
|
654 { |
|
|
655 H5Sclose (space_hid); |
|
|
656 H5Dclose (data_hid); |
|
|
657 H5Gclose (group_hid); |
|
|
658 return false; |
|
|
659 } |
|
|
660 |
|
|
661 H5Sget_simple_extent_dims (space_hid, hdims, maxdims); |
|
|
662 |
|
5351
|
663 if (static_cast<int> (hdims[0]) != nz || |
|
|
664 static_cast<int> (hdims[1]) != 1) |
|
5164
|
665 { |
|
|
666 H5Sclose (space_hid); |
|
|
667 H5Dclose (data_hid); |
|
|
668 H5Gclose (group_hid); |
|
|
669 return false; |
|
|
670 } |
|
|
671 |
|
|
672 hbool_t htmp[nz]; |
|
|
673 bool retval = false; |
|
5760
|
674 if (H5Dread (data_hid, H5T_NATIVE_HBOOL, H5S_ALL, H5S_ALL, H5P_DEFAULT, htmp) >= 0) |
|
5164
|
675 { |
|
|
676 retval = true; |
|
|
677 |
|
|
678 for (int i = 0; i < nz; i++) |
|
|
679 m.xdata(i) = htmp[i]; |
|
|
680 |
|
|
681 matrix = m; |
|
|
682 } |
|
|
683 |
|
|
684 H5Sclose (space_hid); |
|
|
685 H5Dclose (data_hid); |
|
|
686 H5Gclose (group_hid); |
|
|
687 |
|
|
688 return retval; |
|
|
689 } |
|
5900
|
690 |
|
5164
|
691 #endif |
|
|
692 |
|
5900
|
693 mxArray * |
|
|
694 octave_sparse_bool_matrix::as_mxArray (void) const |
|
|
695 { |
|
|
696 // FIXME |
|
|
697 return 0; |
|
|
698 } |
|
|
699 |
|
5164
|
700 /* |
|
|
701 ;;; Local Variables: *** |
|
|
702 ;;; mode: C++ *** |
|
|
703 ;;; End: *** |
|
|
704 */ |
