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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 "gripes.h" |
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35 |
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36 #include "ls-hdf5.h" |
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37 |
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38 #include "ov-re-sparse.h" |
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39 |
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40 #include "ov-base-sparse.h" |
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41 #include "ov-base-sparse.cc" |
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42 |
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43 #include "ov-bool-sparse.h" |
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44 |
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45 template class octave_base_sparse<SparseMatrix>; |
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46 |
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47 DEFINE_OCTAVE_ALLOCATOR (octave_sparse_matrix); |
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48 |
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49 DEFINE_OV_TYPEID_FUNCTIONS_AND_DATA (octave_sparse_matrix, "sparse matrix", "sparse"); |
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50 |
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51 idx_vector |
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52 octave_sparse_matrix::index_vector (void) const |
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53 { |
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54 if (matrix.numel () == matrix.nnz ()) |
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55 return idx_vector (array_value ()); |
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56 else |
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57 { |
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58 std::string nm = type_name (); |
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59 error ("%s type invalid as index value", nm.c_str ()); |
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60 return idx_vector (); |
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61 } |
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62 } |
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63 |
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64 octave_base_value * |
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65 octave_sparse_matrix::try_narrowing_conversion (void) |
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66 { |
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67 octave_base_value *retval = 0; |
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68 |
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69 // Don't use numel, since it can overflow for very large matrices |
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70 // Note that for the second test, this means it becomes approximative |
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71 // since it involves a cast to double to avoid issues of overflow |
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72 if (matrix.rows () == 1 && matrix.cols () == 1) |
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73 { |
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74 // Const copy of the matrix, so the right version of () operator used |
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75 const SparseMatrix tmp (matrix); |
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76 |
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77 retval = new octave_scalar (tmp (0)); |
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78 } |
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79 else if (matrix.cols () > 0 && matrix.rows () > 0 && |
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80 double (matrix.byte_size ()) > double (matrix.rows ()) * |
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81 double (matrix.cols ()) * sizeof (double)) |
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82 retval = new octave_matrix (matrix.matrix_value ()); |
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83 |
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84 return retval; |
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85 } |
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86 |
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87 bool |
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88 octave_sparse_matrix::valid_as_scalar_index (void) const |
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89 { |
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90 // FIXME |
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91 return false; |
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92 } |
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93 |
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94 double |
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95 octave_sparse_matrix::double_value (bool) const |
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96 { |
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97 double retval = lo_ieee_nan_value (); |
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98 |
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99 if (numel () > 0) |
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100 { |
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101 gripe_implicit_conversion ("Octave:array-as-scalar", |
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102 "real sparse matrix", "real scalar"); |
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103 |
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104 retval = matrix (0, 0); |
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105 } |
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106 else |
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107 gripe_invalid_conversion ("real sparse matrix", "real scalar"); |
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108 |
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109 return retval; |
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110 } |
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111 |
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112 Complex |
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113 octave_sparse_matrix::complex_value (bool) const |
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114 { |
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115 double tmp = lo_ieee_nan_value (); |
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116 |
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117 Complex retval (tmp, tmp); |
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118 |
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119 // FIXME -- maybe this should be a function, valid_as_scalar() |
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120 if (rows () > 0 && columns () > 0) |
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121 { |
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122 gripe_implicit_conversion ("Octave:array-as-scalar", |
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123 "real sparse matrix", "complex scalar"); |
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124 |
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125 retval = matrix (0, 0); |
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126 } |
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127 else |
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128 gripe_invalid_conversion ("real sparse matrix", "complex scalar"); |
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129 |
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130 return retval; |
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131 } |
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132 |
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133 Matrix |
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134 octave_sparse_matrix::matrix_value (bool) const |
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135 { |
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136 return matrix.matrix_value (); |
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137 } |
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138 |
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139 boolNDArray |
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140 octave_sparse_matrix::bool_array_value (void) const |
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141 { |
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142 return boolNDArray (matrix.matrix_value ()); |
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143 } |
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144 |
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145 ComplexMatrix |
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146 octave_sparse_matrix::complex_matrix_value (bool) const |
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147 { |
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148 return ComplexMatrix (matrix.matrix_value ()); |
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149 } |
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150 |
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151 ComplexNDArray |
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152 octave_sparse_matrix::complex_array_value (bool) const |
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153 { |
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154 return ComplexNDArray (ComplexMatrix (matrix.matrix_value ())); |
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155 } |
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156 |
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157 NDArray |
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158 octave_sparse_matrix::array_value (bool) const |
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159 { |
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160 return NDArray (matrix.matrix_value ()); |
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161 } |
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162 |
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163 streamoff_array |
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164 octave_sparse_matrix::streamoff_array_value (void) const |
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165 { |
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166 streamoff_array retval (dims ()); |
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167 octave_idx_type nc = matrix.cols (); |
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168 octave_idx_type nr = matrix.rows (); |
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169 |
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170 for (octave_idx_type j = 0; j < nc; j++) |
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171 for (octave_idx_type i = matrix.cidx(j); i < matrix.cidx(j+1); i++) |
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172 { |
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173 double d = matrix.data(i); |
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174 |
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175 if (D_NINT (d) == d) |
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176 { |
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177 retval(matrix.ridx(i) + nr * j) = |
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178 std::streamoff (static_cast<long> (d)); |
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179 } |
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180 else |
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181 { |
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182 error ("conversion to streamoff_array value failed"); |
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183 break; |
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184 } |
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185 } |
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186 |
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187 return retval; |
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188 } |
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189 |
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190 octave_value |
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191 octave_sparse_matrix::convert_to_str_internal (bool, bool, char type) const |
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192 { |
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193 octave_value retval; |
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194 dim_vector dv = dims (); |
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195 octave_idx_type nel = dv.numel (); |
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196 |
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197 if (nel == 0) |
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198 { |
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199 char s = '\0'; |
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200 retval = octave_value (&s, type); |
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201 } |
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202 else |
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203 { |
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204 octave_idx_type nr = matrix.rows (); |
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205 octave_idx_type nc = matrix.cols (); |
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206 charNDArray chm (dv, static_cast<char> (0)); |
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207 |
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208 bool warned = false; |
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209 |
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210 for (octave_idx_type j = 0; j < nc; j++) |
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211 for (octave_idx_type i = matrix.cidx(j); |
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212 i < matrix.cidx(j+1); i++) |
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213 { |
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214 OCTAVE_QUIT; |
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215 |
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216 double d = matrix.data (i); |
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217 |
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218 if (xisnan (d)) |
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219 { |
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220 ::error ("invalid conversion from NaN to character"); |
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221 return retval; |
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222 } |
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223 else |
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224 { |
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225 int ival = NINT (d); |
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226 |
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227 if (ival < 0 || ival > UCHAR_MAX) |
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228 { |
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229 // FIXME -- is there something |
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230 // better we could do? |
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231 |
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232 ival = 0; |
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233 |
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234 if (! warned) |
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235 { |
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236 ::warning ("range error for conversion to character value"); |
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237 warned = true; |
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238 } |
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239 } |
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240 |
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241 chm (matrix.ridx(i) + j * nr) = |
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242 static_cast<char> (ival); |
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243 } |
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244 } |
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245 retval = octave_value (chm, true, type); |
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246 } |
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247 |
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248 return retval; |
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249 } |
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250 |
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251 bool |
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252 octave_sparse_matrix::save_binary (std::ostream& os, bool&save_as_floats) |
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253 { |
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254 dim_vector d = this->dims (); |
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255 if (d.length() < 1) |
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256 return false; |
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257 |
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258 // Ensure that additional memory is deallocated |
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259 matrix.maybe_compress (); |
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260 |
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261 int nr = d(0); |
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262 int nc = d(1); |
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263 int nz = nzmax (); |
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264 |
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265 int32_t itmp; |
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266 // Use negative value for ndims to be consistent with other formats |
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267 itmp= -2; |
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268 os.write (reinterpret_cast<char *> (&itmp), 4); |
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269 |
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270 itmp= nr; |
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271 os.write (reinterpret_cast<char *> (&itmp), 4); |
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272 |
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273 itmp= nc; |
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274 os.write (reinterpret_cast<char *> (&itmp), 4); |
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275 |
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276 itmp= nz; |
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277 os.write (reinterpret_cast<char *> (&itmp), 4); |
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278 |
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279 save_type st = LS_DOUBLE; |
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280 if (save_as_floats) |
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281 { |
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282 if (matrix.too_large_for_float ()) |
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283 { |
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284 warning ("save: some values too large to save as floats --"); |
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285 warning ("save: saving as doubles instead"); |
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286 } |
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287 else |
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288 st = LS_FLOAT; |
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289 } |
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290 else if (matrix.nzmax () > 8192) // FIXME -- make this configurable. |
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291 { |
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292 double max_val, min_val; |
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293 if (matrix.all_integers (max_val, min_val)) |
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294 st = get_save_type (max_val, min_val); |
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295 } |
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296 |
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297 // add one to the printed indices to go from |
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298 // zero-based to one-based arrays |
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299 for (int i = 0; i < nc+1; i++) |
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300 { |
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301 OCTAVE_QUIT; |
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302 itmp = matrix.cidx(i); |
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303 os.write (reinterpret_cast<char *> (&itmp), 4); |
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304 } |
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305 |
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306 for (int i = 0; i < nz; i++) |
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307 { |
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308 OCTAVE_QUIT; |
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309 itmp = matrix.ridx(i); |
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310 os.write (reinterpret_cast<char *> (&itmp), 4); |
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311 } |
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312 |
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313 write_doubles (os, matrix.data(), st, nz); |
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314 |
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315 return true; |
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316 } |
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317 |
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318 bool |
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319 octave_sparse_matrix::load_binary (std::istream& is, bool swap, |
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320 oct_mach_info::float_format fmt) |
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321 { |
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322 int32_t nz, nc, nr, tmp; |
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323 char ctmp; |
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324 |
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325 if (! is.read (reinterpret_cast<char *> (&tmp), 4)) |
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326 return false; |
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327 |
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328 if (swap) |
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329 swap_bytes<4> (&tmp); |
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330 |
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331 if (tmp != -2) { |
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332 error("load: only 2D sparse matrices are supported"); |
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333 return false; |
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334 } |
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335 |
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336 if (! is.read (reinterpret_cast<char *> (&nr), 4)) |
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337 return false; |
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338 if (! is.read (reinterpret_cast<char *> (&nc), 4)) |
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339 return false; |
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340 if (! is.read (reinterpret_cast<char *> (&nz), 4)) |
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341 return false; |
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342 |
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343 if (swap) |
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344 { |
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345 swap_bytes<4> (&nr); |
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346 swap_bytes<4> (&nc); |
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347 swap_bytes<4> (&nz); |
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348 } |
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349 |
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350 SparseMatrix m (static_cast<octave_idx_type> (nr), |
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351 static_cast<octave_idx_type> (nc), |
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352 static_cast<octave_idx_type> (nz)); |
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353 |
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354 for (int i = 0; i < nc+1; i++) |
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355 { |
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356 OCTAVE_QUIT; |
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357 if (! is.read (reinterpret_cast<char *> (&tmp), 4)) |
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358 return false; |
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359 if (swap) |
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360 swap_bytes<4> (&tmp); |
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361 m.xcidx(i) = tmp; |
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362 } |
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363 |
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364 for (int i = 0; i < nz; i++) |
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365 { |
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366 OCTAVE_QUIT; |
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367 if (! is.read (reinterpret_cast<char *> (&tmp), 4)) |
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368 return false; |
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369 if (swap) |
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370 swap_bytes<4> (&tmp); |
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371 m.xridx(i) = tmp; |
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372 } |
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373 |
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374 if (! is.read (reinterpret_cast<char *> (&ctmp), 1)) |
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375 return false; |
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376 |
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377 read_doubles (is, m.xdata (), static_cast<save_type> (ctmp), nz, swap, fmt); |
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378 |
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379 if (error_state || ! is) |
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380 return false; |
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381 matrix = m; |
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382 |
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383 return true; |
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384 } |
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385 |
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386 #if defined (HAVE_HDF5) |
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387 |
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388 bool |
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389 octave_sparse_matrix::save_hdf5 (hid_t loc_id, const char *name, |
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390 bool save_as_floats) |
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391 { |
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392 dim_vector dv = dims (); |
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393 int empty = save_hdf5_empty (loc_id, name, dv); |
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394 if (empty) |
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395 return (empty > 0); |
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396 |
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397 // Ensure that additional memory is deallocated |
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398 matrix.maybe_compress (); |
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399 |
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400 hid_t group_hid = H5Gcreate (loc_id, name, 0); |
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401 if (group_hid < 0) |
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402 return false; |
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403 |
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404 hid_t space_hid = -1, data_hid = -1; |
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405 bool retval = true; |
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406 SparseMatrix m = sparse_matrix_value (); |
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407 octave_idx_type tmp; |
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408 hsize_t hdims[2]; |
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409 |
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410 space_hid = H5Screate_simple (0, hdims, 0); |
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411 if (space_hid < 0) |
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412 { |
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413 H5Gclose (group_hid); |
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414 return false; |
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415 } |
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416 |
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417 data_hid = H5Dcreate (group_hid, "nr", H5T_NATIVE_IDX, space_hid, |
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418 H5P_DEFAULT); |
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419 if (data_hid < 0) |
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420 { |
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421 H5Sclose (space_hid); |
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422 H5Gclose (group_hid); |
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423 return false; |
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424 } |
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425 |
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426 tmp = m.rows (); |
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427 retval = H5Dwrite (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
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428 &tmp) >= 0; |
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429 H5Dclose (data_hid); |
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430 if (!retval) |
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431 { |
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432 H5Sclose (space_hid); |
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433 H5Gclose (group_hid); |
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434 return false; |
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435 } |
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436 |
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5351
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437 data_hid = H5Dcreate (group_hid, "nc", H5T_NATIVE_IDX, space_hid, |
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438 H5P_DEFAULT); |
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439 if (data_hid < 0) |
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440 { |
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441 H5Sclose (space_hid); |
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442 H5Gclose (group_hid); |
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443 return false; |
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444 } |
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445 |
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446 tmp = m.cols (); |
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5351
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447 retval = H5Dwrite (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
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5760
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448 &tmp) >= 0; |
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449 H5Dclose (data_hid); |
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450 if (!retval) |
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451 { |
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452 H5Sclose (space_hid); |
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453 H5Gclose (group_hid); |
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454 return false; |
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455 } |
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456 |
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5351
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457 data_hid = H5Dcreate (group_hid, "nz", H5T_NATIVE_IDX, space_hid, |
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5164
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458 H5P_DEFAULT); |
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459 if (data_hid < 0) |
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460 { |
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461 H5Sclose (space_hid); |
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462 H5Gclose (group_hid); |
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463 return false; |
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464 } |
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465 |
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5604
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466 tmp = m.nzmax (); |
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5351
|
467 retval = H5Dwrite (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
|
5760
|
468 &tmp) >= 0; |
|
5164
|
469 H5Dclose (data_hid); |
|
|
470 if (!retval) |
|
|
471 { |
|
|
472 H5Sclose (space_hid); |
|
|
473 H5Gclose (group_hid); |
|
|
474 return false; |
|
|
475 } |
|
|
476 |
|
|
477 H5Sclose (space_hid); |
|
|
478 |
|
|
479 hdims[0] = m.cols() + 1; |
|
|
480 hdims[1] = 1; |
|
|
481 |
|
|
482 space_hid = H5Screate_simple (2, hdims, 0); |
|
|
483 |
|
|
484 if (space_hid < 0) |
|
|
485 { |
|
|
486 H5Gclose (group_hid); |
|
|
487 return false; |
|
|
488 } |
|
|
489 |
|
5351
|
490 data_hid = H5Dcreate (group_hid, "cidx", H5T_NATIVE_IDX, space_hid, |
|
5164
|
491 H5P_DEFAULT); |
|
|
492 if (data_hid < 0) |
|
|
493 { |
|
|
494 H5Sclose (space_hid); |
|
|
495 H5Gclose (group_hid); |
|
|
496 return false; |
|
|
497 } |
|
|
498 |
|
5351
|
499 octave_idx_type * itmp = m.xcidx (); |
|
|
500 retval = H5Dwrite (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
|
5760
|
501 itmp) >= 0; |
|
5164
|
502 H5Dclose (data_hid); |
|
|
503 if (!retval) |
|
|
504 { |
|
|
505 H5Sclose (space_hid); |
|
|
506 H5Gclose (group_hid); |
|
|
507 return false; |
|
|
508 } |
|
|
509 |
|
|
510 H5Sclose (space_hid); |
|
|
511 |
|
5604
|
512 hdims[0] = m.nzmax (); |
|
5164
|
513 hdims[1] = 1; |
|
|
514 |
|
|
515 space_hid = H5Screate_simple (2, hdims, 0); |
|
|
516 |
|
|
517 if (space_hid < 0) |
|
|
518 { |
|
|
519 H5Gclose (group_hid); |
|
|
520 return false; |
|
|
521 } |
|
|
522 |
|
5351
|
523 data_hid = H5Dcreate (group_hid, "ridx", H5T_NATIVE_IDX, space_hid, |
|
5164
|
524 H5P_DEFAULT); |
|
|
525 if (data_hid < 0) |
|
|
526 { |
|
|
527 H5Sclose (space_hid); |
|
|
528 H5Gclose (group_hid); |
|
|
529 return false; |
|
|
530 } |
|
|
531 |
|
|
532 itmp = m.xridx (); |
|
5351
|
533 retval = H5Dwrite (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
|
5760
|
534 itmp) >= 0; |
|
5164
|
535 H5Dclose (data_hid); |
|
|
536 if (!retval) |
|
|
537 { |
|
|
538 H5Sclose (space_hid); |
|
|
539 H5Gclose (group_hid); |
|
|
540 return false; |
|
|
541 } |
|
|
542 |
|
|
543 hid_t save_type_hid = H5T_NATIVE_DOUBLE; |
|
|
544 |
|
|
545 if (save_as_floats) |
|
|
546 { |
|
|
547 if (m.too_large_for_float ()) |
|
|
548 { |
|
|
549 warning ("save: some values too large to save as floats --"); |
|
|
550 warning ("save: saving as doubles instead"); |
|
|
551 } |
|
|
552 else |
|
|
553 save_type_hid = H5T_NATIVE_FLOAT; |
|
|
554 } |
|
|
555 #if HAVE_HDF5_INT2FLOAT_CONVERSIONS |
|
|
556 // hdf5 currently doesn't support float/integer conversions |
|
|
557 else |
|
|
558 { |
|
|
559 double max_val, min_val; |
|
|
560 |
|
|
561 if (m.all_integers (max_val, min_val)) |
|
|
562 save_type_hid |
|
|
563 = save_type_to_hdf5 (get_save_type (max_val, min_val)); |
|
|
564 } |
|
|
565 #endif /* HAVE_HDF5_INT2FLOAT_CONVERSIONS */ |
|
|
566 |
|
|
567 data_hid = H5Dcreate (group_hid, "data", save_type_hid, space_hid, |
|
|
568 H5P_DEFAULT); |
|
|
569 if (data_hid < 0) |
|
|
570 { |
|
|
571 H5Sclose (space_hid); |
|
|
572 H5Gclose (group_hid); |
|
|
573 return false; |
|
|
574 } |
|
|
575 |
|
|
576 double * dtmp = m.xdata (); |
|
|
577 retval = H5Dwrite (data_hid, H5T_NATIVE_DOUBLE, H5S_ALL, H5S_ALL, |
|
5760
|
578 H5P_DEFAULT, dtmp) >= 0; |
|
5164
|
579 H5Dclose (data_hid); |
|
|
580 H5Sclose (space_hid); |
|
|
581 H5Gclose (group_hid); |
|
|
582 |
|
|
583 return retval; |
|
|
584 } |
|
|
585 |
|
|
586 bool |
|
|
587 octave_sparse_matrix::load_hdf5 (hid_t loc_id, const char *name, |
|
5760
|
588 bool /* have_h5giterate_bug */) |
|
5164
|
589 { |
|
5351
|
590 octave_idx_type nr, nc, nz; |
|
5164
|
591 hid_t group_hid, data_hid, space_hid; |
|
|
592 hsize_t rank; |
|
|
593 |
|
|
594 dim_vector dv; |
|
|
595 int empty = load_hdf5_empty (loc_id, name, dv); |
|
|
596 if (empty > 0) |
|
|
597 matrix.resize(dv); |
|
|
598 if (empty) |
|
|
599 return (empty > 0); |
|
|
600 |
|
|
601 group_hid = H5Gopen (loc_id, name); |
|
5760
|
602 if (group_hid < 0) return false; |
|
5164
|
603 |
|
|
604 data_hid = H5Dopen (group_hid, "nr"); |
|
|
605 space_hid = H5Dget_space (data_hid); |
|
|
606 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
607 |
|
|
608 if (rank != 0) |
|
|
609 { |
|
|
610 H5Dclose (data_hid); |
|
|
611 H5Gclose (group_hid); |
|
|
612 return false; |
|
|
613 } |
|
|
614 |
|
5351
|
615 if (H5Dread (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, |
|
5760
|
616 H5P_DEFAULT, &nr) < 0) |
|
5164
|
617 { |
|
|
618 H5Dclose (data_hid); |
|
|
619 H5Gclose (group_hid); |
|
|
620 return false; |
|
|
621 } |
|
|
622 |
|
|
623 H5Dclose (data_hid); |
|
|
624 |
|
|
625 data_hid = H5Dopen (group_hid, "nc"); |
|
|
626 space_hid = H5Dget_space (data_hid); |
|
|
627 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
628 |
|
|
629 if (rank != 0) |
|
|
630 { |
|
|
631 H5Dclose (data_hid); |
|
|
632 H5Gclose (group_hid); |
|
|
633 return false; |
|
|
634 } |
|
|
635 |
|
5351
|
636 if (H5Dread (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, |
|
5760
|
637 H5P_DEFAULT, &nc) < 0) |
|
5164
|
638 { |
|
|
639 H5Dclose (data_hid); |
|
|
640 H5Gclose (group_hid); |
|
|
641 return false; |
|
|
642 } |
|
|
643 |
|
|
644 H5Dclose (data_hid); |
|
|
645 |
|
|
646 data_hid = H5Dopen (group_hid, "nz"); |
|
|
647 space_hid = H5Dget_space (data_hid); |
|
|
648 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
649 |
|
|
650 if (rank != 0) |
|
|
651 { |
|
|
652 H5Dclose (data_hid); |
|
|
653 H5Gclose (group_hid); |
|
|
654 return false; |
|
|
655 } |
|
|
656 |
|
5351
|
657 if (H5Dread (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, |
|
5760
|
658 H5P_DEFAULT, &nz) < 0) |
|
5164
|
659 { |
|
|
660 H5Dclose (data_hid); |
|
|
661 H5Gclose (group_hid); |
|
|
662 return false; |
|
|
663 } |
|
|
664 |
|
|
665 H5Dclose (data_hid); |
|
|
666 |
|
5275
|
667 SparseMatrix m (static_cast<octave_idx_type> (nr), |
|
|
668 static_cast<octave_idx_type> (nc), |
|
|
669 static_cast<octave_idx_type> (nz)); |
|
5164
|
670 |
|
|
671 data_hid = H5Dopen (group_hid, "cidx"); |
|
|
672 space_hid = H5Dget_space (data_hid); |
|
|
673 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
674 |
|
|
675 if (rank != 2) |
|
|
676 { |
|
|
677 H5Sclose (space_hid); |
|
|
678 H5Dclose (data_hid); |
|
|
679 H5Gclose (group_hid); |
|
|
680 return false; |
|
|
681 } |
|
|
682 |
|
|
683 OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank); |
|
|
684 OCTAVE_LOCAL_BUFFER (hsize_t, maxdims, rank); |
|
|
685 |
|
|
686 H5Sget_simple_extent_dims (space_hid, hdims, maxdims); |
|
|
687 |
|
5322
|
688 if (static_cast<int> (hdims[0]) != nc + 1 || |
|
|
689 static_cast<int> (hdims[1]) != 1) |
|
5164
|
690 { |
|
|
691 H5Sclose (space_hid); |
|
|
692 H5Dclose (data_hid); |
|
|
693 H5Gclose (group_hid); |
|
|
694 return false; |
|
|
695 } |
|
|
696 |
|
5351
|
697 octave_idx_type *itmp = m.xcidx (); |
|
|
698 if (H5Dread (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, |
|
5760
|
699 H5P_DEFAULT, itmp) < 0) |
|
5164
|
700 { |
|
|
701 H5Sclose (space_hid); |
|
|
702 H5Dclose (data_hid); |
|
|
703 H5Gclose (group_hid); |
|
|
704 return false; |
|
|
705 } |
|
|
706 |
|
|
707 H5Sclose (space_hid); |
|
|
708 H5Dclose (data_hid); |
|
|
709 |
|
|
710 data_hid = H5Dopen (group_hid, "ridx"); |
|
|
711 space_hid = H5Dget_space (data_hid); |
|
|
712 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
713 |
|
|
714 if (rank != 2) |
|
|
715 { |
|
|
716 H5Sclose (space_hid); |
|
|
717 H5Dclose (data_hid); |
|
|
718 H5Gclose (group_hid); |
|
|
719 return false; |
|
|
720 } |
|
|
721 |
|
|
722 H5Sget_simple_extent_dims (space_hid, hdims, maxdims); |
|
|
723 |
|
5322
|
724 if (static_cast<int> (hdims[0]) != nz || static_cast<int> (hdims[1]) != 1) |
|
5164
|
725 { |
|
|
726 H5Sclose (space_hid); |
|
|
727 H5Dclose (data_hid); |
|
|
728 H5Gclose (group_hid); |
|
|
729 return false; |
|
|
730 } |
|
|
731 |
|
|
732 itmp = m.xridx (); |
|
5351
|
733 if (H5Dread (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, |
|
5760
|
734 H5P_DEFAULT, itmp) < 0) |
|
5164
|
735 { |
|
|
736 H5Sclose (space_hid); |
|
|
737 H5Dclose (data_hid); |
|
|
738 H5Gclose (group_hid); |
|
|
739 return false; |
|
|
740 } |
|
|
741 |
|
|
742 H5Sclose (space_hid); |
|
|
743 H5Dclose (data_hid); |
|
|
744 |
|
|
745 data_hid = H5Dopen (group_hid, "data"); |
|
|
746 space_hid = H5Dget_space (data_hid); |
|
|
747 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
748 |
|
|
749 if (rank != 2) |
|
|
750 { |
|
|
751 H5Sclose (space_hid); |
|
|
752 H5Dclose (data_hid); |
|
|
753 H5Gclose (group_hid); |
|
|
754 return false; |
|
|
755 } |
|
|
756 |
|
|
757 H5Sget_simple_extent_dims (space_hid, hdims, maxdims); |
|
|
758 |
|
5322
|
759 if (static_cast<int> (hdims[0]) != nz || static_cast<int> (hdims[1]) != 1) |
|
5164
|
760 { |
|
|
761 H5Sclose (space_hid); |
|
|
762 H5Dclose (data_hid); |
|
|
763 H5Gclose (group_hid); |
|
|
764 return false; |
|
|
765 } |
|
|
766 |
|
|
767 double *dtmp = m.xdata (); |
|
|
768 if (H5Dread (data_hid, H5T_NATIVE_DOUBLE, H5S_ALL, H5S_ALL, |
|
5760
|
769 H5P_DEFAULT, dtmp) < 0) |
|
5164
|
770 { |
|
|
771 H5Sclose (space_hid); |
|
|
772 H5Dclose (data_hid); |
|
|
773 H5Gclose (group_hid); |
|
|
774 return false; |
|
|
775 } |
|
|
776 |
|
|
777 H5Sclose (space_hid); |
|
|
778 H5Dclose (data_hid); |
|
|
779 H5Gclose (group_hid); |
|
|
780 |
|
|
781 matrix = m; |
|
|
782 |
|
|
783 return true; |
|
|
784 } |
|
5900
|
785 |
|
5164
|
786 #endif |
|
|
787 |
|
5900
|
788 mxArray * |
|
|
789 octave_sparse_matrix::as_mxArray (void) const |
|
|
790 { |
|
|
791 // FIXME |
|
|
792 return 0; |
|
|
793 } |
|
|
794 |
|
5164
|
795 /* |
|
|
796 ;;; Local Variables: *** |
|
|
797 ;;; mode: C++ *** |
|
|
798 ;;; End: *** |
|
|
799 */ |
