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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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6109
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45 template class OCTINTERP_API 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 (bool warn) const |
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141 { |
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142 NDArray m = matrix.matrix_value (); |
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143 |
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144 if (warn && m.any_element_not_one_or_zero ()) |
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145 gripe_logical_conversion (); |
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146 |
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147 return boolNDArray (m); |
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148 } |
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149 |
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150 ComplexMatrix |
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151 octave_sparse_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_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_matrix::array_value (bool) const |
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164 { |
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165 return NDArray (matrix.matrix_value ()); |
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166 } |
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167 |
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168 streamoff_array |
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169 octave_sparse_matrix::streamoff_array_value (void) const |
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170 { |
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171 streamoff_array retval (dims ()); |
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172 octave_idx_type nc = matrix.cols (); |
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173 octave_idx_type nr = matrix.rows (); |
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174 |
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175 for (octave_idx_type j = 0; j < nc; j++) |
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176 for (octave_idx_type i = matrix.cidx(j); i < matrix.cidx(j+1); i++) |
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177 { |
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178 double d = matrix.data(i); |
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179 |
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180 if (D_NINT (d) == d) |
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181 { |
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182 retval(matrix.ridx(i) + nr * j) = |
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183 std::streamoff (static_cast<long> (d)); |
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184 } |
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185 else |
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186 { |
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187 error ("conversion to streamoff_array value failed"); |
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188 break; |
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189 } |
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190 } |
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191 |
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192 return retval; |
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193 } |
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194 |
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195 octave_value |
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196 octave_sparse_matrix::convert_to_str_internal (bool, bool, char type) const |
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197 { |
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198 octave_value retval; |
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199 dim_vector dv = dims (); |
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200 octave_idx_type nel = dv.numel (); |
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201 |
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202 if (nel == 0) |
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203 { |
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204 char s = '\0'; |
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205 retval = octave_value (&s, type); |
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206 } |
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207 else |
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208 { |
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209 octave_idx_type nr = matrix.rows (); |
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210 octave_idx_type nc = matrix.cols (); |
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211 charNDArray chm (dv, static_cast<char> (0)); |
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212 |
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213 bool warned = false; |
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214 |
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215 for (octave_idx_type j = 0; j < nc; j++) |
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216 for (octave_idx_type i = matrix.cidx(j); |
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217 i < matrix.cidx(j+1); i++) |
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218 { |
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219 OCTAVE_QUIT; |
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220 |
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221 double d = matrix.data (i); |
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222 |
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223 if (xisnan (d)) |
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224 { |
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225 ::error ("invalid conversion from NaN to character"); |
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226 return retval; |
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227 } |
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228 else |
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229 { |
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230 int ival = NINT (d); |
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231 |
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232 if (ival < 0 || ival > UCHAR_MAX) |
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233 { |
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234 // FIXME -- is there something |
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235 // better we could do? |
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236 |
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237 ival = 0; |
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238 |
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239 if (! warned) |
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240 { |
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241 ::warning ("range error for conversion to character value"); |
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242 warned = true; |
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243 } |
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244 } |
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245 |
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246 chm (matrix.ridx(i) + j * nr) = |
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247 static_cast<char> (ival); |
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248 } |
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249 } |
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250 retval = octave_value (chm, true, type); |
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251 } |
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252 |
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253 return retval; |
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254 } |
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255 |
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256 bool |
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257 octave_sparse_matrix::save_binary (std::ostream& os, bool&save_as_floats) |
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258 { |
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259 dim_vector d = this->dims (); |
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260 if (d.length() < 1) |
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261 return false; |
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262 |
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263 // Ensure that additional memory is deallocated |
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264 matrix.maybe_compress (); |
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265 |
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266 int nr = d(0); |
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267 int nc = d(1); |
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268 int nz = nzmax (); |
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269 |
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270 int32_t itmp; |
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271 // Use negative value for ndims to be consistent with other formats |
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272 itmp= -2; |
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273 os.write (reinterpret_cast<char *> (&itmp), 4); |
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274 |
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275 itmp= nr; |
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276 os.write (reinterpret_cast<char *> (&itmp), 4); |
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277 |
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278 itmp= nc; |
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279 os.write (reinterpret_cast<char *> (&itmp), 4); |
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280 |
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281 itmp= nz; |
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282 os.write (reinterpret_cast<char *> (&itmp), 4); |
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283 |
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284 save_type st = LS_DOUBLE; |
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285 if (save_as_floats) |
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286 { |
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287 if (matrix.too_large_for_float ()) |
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288 { |
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289 warning ("save: some values too large to save as floats --"); |
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290 warning ("save: saving as doubles instead"); |
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291 } |
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292 else |
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293 st = LS_FLOAT; |
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294 } |
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295 else if (matrix.nzmax () > 8192) // FIXME -- make this configurable. |
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296 { |
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297 double max_val, min_val; |
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298 if (matrix.all_integers (max_val, min_val)) |
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299 st = get_save_type (max_val, min_val); |
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300 } |
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301 |
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302 // add one to the printed indices to go from |
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303 // zero-based to one-based arrays |
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304 for (int i = 0; i < nc+1; i++) |
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305 { |
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306 OCTAVE_QUIT; |
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307 itmp = matrix.cidx(i); |
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308 os.write (reinterpret_cast<char *> (&itmp), 4); |
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309 } |
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310 |
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311 for (int i = 0; i < nz; i++) |
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312 { |
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313 OCTAVE_QUIT; |
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314 itmp = matrix.ridx(i); |
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315 os.write (reinterpret_cast<char *> (&itmp), 4); |
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316 } |
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317 |
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318 write_doubles (os, matrix.data(), st, nz); |
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319 |
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320 return true; |
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321 } |
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322 |
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323 bool |
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324 octave_sparse_matrix::load_binary (std::istream& is, bool swap, |
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325 oct_mach_info::float_format fmt) |
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326 { |
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327 int32_t nz, nc, nr, tmp; |
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328 char ctmp; |
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329 |
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330 if (! is.read (reinterpret_cast<char *> (&tmp), 4)) |
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331 return false; |
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332 |
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333 if (swap) |
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334 swap_bytes<4> (&tmp); |
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335 |
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336 if (tmp != -2) { |
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337 error("load: only 2D sparse matrices are supported"); |
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338 return false; |
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339 } |
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340 |
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341 if (! is.read (reinterpret_cast<char *> (&nr), 4)) |
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342 return false; |
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343 if (! is.read (reinterpret_cast<char *> (&nc), 4)) |
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344 return false; |
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345 if (! is.read (reinterpret_cast<char *> (&nz), 4)) |
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346 return false; |
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347 |
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348 if (swap) |
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349 { |
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350 swap_bytes<4> (&nr); |
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351 swap_bytes<4> (&nc); |
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352 swap_bytes<4> (&nz); |
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353 } |
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354 |
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355 SparseMatrix m (static_cast<octave_idx_type> (nr), |
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356 static_cast<octave_idx_type> (nc), |
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357 static_cast<octave_idx_type> (nz)); |
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358 |
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359 for (int i = 0; i < nc+1; i++) |
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360 { |
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361 OCTAVE_QUIT; |
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362 if (! is.read (reinterpret_cast<char *> (&tmp), 4)) |
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363 return false; |
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364 if (swap) |
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365 swap_bytes<4> (&tmp); |
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366 m.xcidx(i) = tmp; |
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367 } |
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368 |
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369 for (int i = 0; i < nz; i++) |
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370 { |
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371 OCTAVE_QUIT; |
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372 if (! is.read (reinterpret_cast<char *> (&tmp), 4)) |
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373 return false; |
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374 if (swap) |
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375 swap_bytes<4> (&tmp); |
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376 m.xridx(i) = tmp; |
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377 } |
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378 |
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379 if (! is.read (reinterpret_cast<char *> (&ctmp), 1)) |
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380 return false; |
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381 |
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382 read_doubles (is, m.xdata (), static_cast<save_type> (ctmp), nz, swap, fmt); |
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383 |
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384 if (error_state || ! is) |
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385 return false; |
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386 matrix = m; |
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387 |
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388 return true; |
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389 } |
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390 |
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391 #if defined (HAVE_HDF5) |
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392 |
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393 bool |
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394 octave_sparse_matrix::save_hdf5 (hid_t loc_id, const char *name, |
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395 bool save_as_floats) |
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396 { |
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397 dim_vector dv = dims (); |
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398 int empty = save_hdf5_empty (loc_id, name, dv); |
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399 if (empty) |
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400 return (empty > 0); |
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401 |
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402 // Ensure that additional memory is deallocated |
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403 matrix.maybe_compress (); |
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404 |
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405 hid_t group_hid = H5Gcreate (loc_id, name, 0); |
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406 if (group_hid < 0) |
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407 return false; |
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408 |
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409 hid_t space_hid = -1, data_hid = -1; |
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410 bool retval = true; |
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411 SparseMatrix m = sparse_matrix_value (); |
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412 octave_idx_type tmp; |
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413 hsize_t hdims[2]; |
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414 |
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5760
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415 space_hid = H5Screate_simple (0, hdims, 0); |
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416 if (space_hid < 0) |
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417 { |
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418 H5Gclose (group_hid); |
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419 return false; |
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420 } |
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421 |
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5351
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422 data_hid = H5Dcreate (group_hid, "nr", H5T_NATIVE_IDX, space_hid, |
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5164
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423 H5P_DEFAULT); |
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424 if (data_hid < 0) |
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425 { |
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426 H5Sclose (space_hid); |
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427 H5Gclose (group_hid); |
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428 return false; |
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429 } |
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430 |
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431 tmp = m.rows (); |
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5351
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432 retval = H5Dwrite (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
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5760
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433 &tmp) >= 0; |
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434 H5Dclose (data_hid); |
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435 if (!retval) |
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436 { |
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437 H5Sclose (space_hid); |
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438 H5Gclose (group_hid); |
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439 return false; |
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440 } |
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441 |
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5351
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442 data_hid = H5Dcreate (group_hid, "nc", H5T_NATIVE_IDX, space_hid, |
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5164
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443 H5P_DEFAULT); |
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444 if (data_hid < 0) |
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445 { |
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446 H5Sclose (space_hid); |
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447 H5Gclose (group_hid); |
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448 return false; |
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449 } |
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450 |
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451 tmp = m.cols (); |
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5351
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452 retval = H5Dwrite (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
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5760
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453 &tmp) >= 0; |
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5164
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454 H5Dclose (data_hid); |
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455 if (!retval) |
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456 { |
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457 H5Sclose (space_hid); |
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458 H5Gclose (group_hid); |
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459 return false; |
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460 } |
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461 |
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5351
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462 data_hid = H5Dcreate (group_hid, "nz", H5T_NATIVE_IDX, space_hid, |
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5164
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463 H5P_DEFAULT); |
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464 if (data_hid < 0) |
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465 { |
|
|
466 H5Sclose (space_hid); |
|
|
467 H5Gclose (group_hid); |
|
|
468 return false; |
|
|
469 } |
|
|
470 |
|
5604
|
471 tmp = m.nzmax (); |
|
5351
|
472 retval = H5Dwrite (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
|
5760
|
473 &tmp) >= 0; |
|
5164
|
474 H5Dclose (data_hid); |
|
|
475 if (!retval) |
|
|
476 { |
|
|
477 H5Sclose (space_hid); |
|
|
478 H5Gclose (group_hid); |
|
|
479 return false; |
|
|
480 } |
|
|
481 |
|
|
482 H5Sclose (space_hid); |
|
|
483 |
|
|
484 hdims[0] = m.cols() + 1; |
|
|
485 hdims[1] = 1; |
|
|
486 |
|
|
487 space_hid = H5Screate_simple (2, hdims, 0); |
|
|
488 |
|
|
489 if (space_hid < 0) |
|
|
490 { |
|
|
491 H5Gclose (group_hid); |
|
|
492 return false; |
|
|
493 } |
|
|
494 |
|
5351
|
495 data_hid = H5Dcreate (group_hid, "cidx", H5T_NATIVE_IDX, space_hid, |
|
5164
|
496 H5P_DEFAULT); |
|
|
497 if (data_hid < 0) |
|
|
498 { |
|
|
499 H5Sclose (space_hid); |
|
|
500 H5Gclose (group_hid); |
|
|
501 return false; |
|
|
502 } |
|
|
503 |
|
5351
|
504 octave_idx_type * itmp = m.xcidx (); |
|
|
505 retval = H5Dwrite (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
|
5760
|
506 itmp) >= 0; |
|
5164
|
507 H5Dclose (data_hid); |
|
|
508 if (!retval) |
|
|
509 { |
|
|
510 H5Sclose (space_hid); |
|
|
511 H5Gclose (group_hid); |
|
|
512 return false; |
|
|
513 } |
|
|
514 |
|
|
515 H5Sclose (space_hid); |
|
|
516 |
|
5604
|
517 hdims[0] = m.nzmax (); |
|
5164
|
518 hdims[1] = 1; |
|
|
519 |
|
|
520 space_hid = H5Screate_simple (2, hdims, 0); |
|
|
521 |
|
|
522 if (space_hid < 0) |
|
|
523 { |
|
|
524 H5Gclose (group_hid); |
|
|
525 return false; |
|
|
526 } |
|
|
527 |
|
5351
|
528 data_hid = H5Dcreate (group_hid, "ridx", H5T_NATIVE_IDX, space_hid, |
|
5164
|
529 H5P_DEFAULT); |
|
|
530 if (data_hid < 0) |
|
|
531 { |
|
|
532 H5Sclose (space_hid); |
|
|
533 H5Gclose (group_hid); |
|
|
534 return false; |
|
|
535 } |
|
|
536 |
|
|
537 itmp = m.xridx (); |
|
5351
|
538 retval = H5Dwrite (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
|
5760
|
539 itmp) >= 0; |
|
5164
|
540 H5Dclose (data_hid); |
|
|
541 if (!retval) |
|
|
542 { |
|
|
543 H5Sclose (space_hid); |
|
|
544 H5Gclose (group_hid); |
|
|
545 return false; |
|
|
546 } |
|
|
547 |
|
|
548 hid_t save_type_hid = H5T_NATIVE_DOUBLE; |
|
|
549 |
|
|
550 if (save_as_floats) |
|
|
551 { |
|
|
552 if (m.too_large_for_float ()) |
|
|
553 { |
|
|
554 warning ("save: some values too large to save as floats --"); |
|
|
555 warning ("save: saving as doubles instead"); |
|
|
556 } |
|
|
557 else |
|
|
558 save_type_hid = H5T_NATIVE_FLOAT; |
|
|
559 } |
|
|
560 #if HAVE_HDF5_INT2FLOAT_CONVERSIONS |
|
|
561 // hdf5 currently doesn't support float/integer conversions |
|
|
562 else |
|
|
563 { |
|
|
564 double max_val, min_val; |
|
|
565 |
|
|
566 if (m.all_integers (max_val, min_val)) |
|
|
567 save_type_hid |
|
|
568 = save_type_to_hdf5 (get_save_type (max_val, min_val)); |
|
|
569 } |
|
|
570 #endif /* HAVE_HDF5_INT2FLOAT_CONVERSIONS */ |
|
|
571 |
|
|
572 data_hid = H5Dcreate (group_hid, "data", save_type_hid, space_hid, |
|
|
573 H5P_DEFAULT); |
|
|
574 if (data_hid < 0) |
|
|
575 { |
|
|
576 H5Sclose (space_hid); |
|
|
577 H5Gclose (group_hid); |
|
|
578 return false; |
|
|
579 } |
|
|
580 |
|
|
581 double * dtmp = m.xdata (); |
|
|
582 retval = H5Dwrite (data_hid, H5T_NATIVE_DOUBLE, H5S_ALL, H5S_ALL, |
|
5760
|
583 H5P_DEFAULT, dtmp) >= 0; |
|
5164
|
584 H5Dclose (data_hid); |
|
|
585 H5Sclose (space_hid); |
|
|
586 H5Gclose (group_hid); |
|
|
587 |
|
|
588 return retval; |
|
|
589 } |
|
|
590 |
|
|
591 bool |
|
|
592 octave_sparse_matrix::load_hdf5 (hid_t loc_id, const char *name, |
|
5760
|
593 bool /* have_h5giterate_bug */) |
|
5164
|
594 { |
|
5351
|
595 octave_idx_type nr, nc, nz; |
|
5164
|
596 hid_t group_hid, data_hid, space_hid; |
|
|
597 hsize_t rank; |
|
|
598 |
|
|
599 dim_vector dv; |
|
|
600 int empty = load_hdf5_empty (loc_id, name, dv); |
|
|
601 if (empty > 0) |
|
|
602 matrix.resize(dv); |
|
|
603 if (empty) |
|
|
604 return (empty > 0); |
|
|
605 |
|
|
606 group_hid = H5Gopen (loc_id, name); |
|
5760
|
607 if (group_hid < 0) return false; |
|
5164
|
608 |
|
|
609 data_hid = H5Dopen (group_hid, "nr"); |
|
|
610 space_hid = H5Dget_space (data_hid); |
|
|
611 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
612 |
|
|
613 if (rank != 0) |
|
|
614 { |
|
|
615 H5Dclose (data_hid); |
|
|
616 H5Gclose (group_hid); |
|
|
617 return false; |
|
|
618 } |
|
|
619 |
|
5351
|
620 if (H5Dread (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, |
|
5760
|
621 H5P_DEFAULT, &nr) < 0) |
|
5164
|
622 { |
|
|
623 H5Dclose (data_hid); |
|
|
624 H5Gclose (group_hid); |
|
|
625 return false; |
|
|
626 } |
|
|
627 |
|
|
628 H5Dclose (data_hid); |
|
|
629 |
|
|
630 data_hid = H5Dopen (group_hid, "nc"); |
|
|
631 space_hid = H5Dget_space (data_hid); |
|
|
632 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
633 |
|
|
634 if (rank != 0) |
|
|
635 { |
|
|
636 H5Dclose (data_hid); |
|
|
637 H5Gclose (group_hid); |
|
|
638 return false; |
|
|
639 } |
|
|
640 |
|
5351
|
641 if (H5Dread (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, |
|
5760
|
642 H5P_DEFAULT, &nc) < 0) |
|
5164
|
643 { |
|
|
644 H5Dclose (data_hid); |
|
|
645 H5Gclose (group_hid); |
|
|
646 return false; |
|
|
647 } |
|
|
648 |
|
|
649 H5Dclose (data_hid); |
|
|
650 |
|
|
651 data_hid = H5Dopen (group_hid, "nz"); |
|
|
652 space_hid = H5Dget_space (data_hid); |
|
|
653 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
654 |
|
|
655 if (rank != 0) |
|
|
656 { |
|
|
657 H5Dclose (data_hid); |
|
|
658 H5Gclose (group_hid); |
|
|
659 return false; |
|
|
660 } |
|
|
661 |
|
5351
|
662 if (H5Dread (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, |
|
5760
|
663 H5P_DEFAULT, &nz) < 0) |
|
5164
|
664 { |
|
|
665 H5Dclose (data_hid); |
|
|
666 H5Gclose (group_hid); |
|
|
667 return false; |
|
|
668 } |
|
|
669 |
|
|
670 H5Dclose (data_hid); |
|
|
671 |
|
5275
|
672 SparseMatrix m (static_cast<octave_idx_type> (nr), |
|
|
673 static_cast<octave_idx_type> (nc), |
|
|
674 static_cast<octave_idx_type> (nz)); |
|
5164
|
675 |
|
|
676 data_hid = H5Dopen (group_hid, "cidx"); |
|
|
677 space_hid = H5Dget_space (data_hid); |
|
|
678 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
679 |
|
|
680 if (rank != 2) |
|
|
681 { |
|
|
682 H5Sclose (space_hid); |
|
|
683 H5Dclose (data_hid); |
|
|
684 H5Gclose (group_hid); |
|
|
685 return false; |
|
|
686 } |
|
|
687 |
|
|
688 OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank); |
|
|
689 OCTAVE_LOCAL_BUFFER (hsize_t, maxdims, rank); |
|
|
690 |
|
|
691 H5Sget_simple_extent_dims (space_hid, hdims, maxdims); |
|
|
692 |
|
5322
|
693 if (static_cast<int> (hdims[0]) != nc + 1 || |
|
|
694 static_cast<int> (hdims[1]) != 1) |
|
5164
|
695 { |
|
|
696 H5Sclose (space_hid); |
|
|
697 H5Dclose (data_hid); |
|
|
698 H5Gclose (group_hid); |
|
|
699 return false; |
|
|
700 } |
|
|
701 |
|
5351
|
702 octave_idx_type *itmp = m.xcidx (); |
|
|
703 if (H5Dread (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, |
|
5760
|
704 H5P_DEFAULT, itmp) < 0) |
|
5164
|
705 { |
|
|
706 H5Sclose (space_hid); |
|
|
707 H5Dclose (data_hid); |
|
|
708 H5Gclose (group_hid); |
|
|
709 return false; |
|
|
710 } |
|
|
711 |
|
|
712 H5Sclose (space_hid); |
|
|
713 H5Dclose (data_hid); |
|
|
714 |
|
|
715 data_hid = H5Dopen (group_hid, "ridx"); |
|
|
716 space_hid = H5Dget_space (data_hid); |
|
|
717 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
718 |
|
|
719 if (rank != 2) |
|
|
720 { |
|
|
721 H5Sclose (space_hid); |
|
|
722 H5Dclose (data_hid); |
|
|
723 H5Gclose (group_hid); |
|
|
724 return false; |
|
|
725 } |
|
|
726 |
|
|
727 H5Sget_simple_extent_dims (space_hid, hdims, maxdims); |
|
|
728 |
|
5322
|
729 if (static_cast<int> (hdims[0]) != nz || static_cast<int> (hdims[1]) != 1) |
|
5164
|
730 { |
|
|
731 H5Sclose (space_hid); |
|
|
732 H5Dclose (data_hid); |
|
|
733 H5Gclose (group_hid); |
|
|
734 return false; |
|
|
735 } |
|
|
736 |
|
|
737 itmp = m.xridx (); |
|
5351
|
738 if (H5Dread (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, |
|
5760
|
739 H5P_DEFAULT, itmp) < 0) |
|
5164
|
740 { |
|
|
741 H5Sclose (space_hid); |
|
|
742 H5Dclose (data_hid); |
|
|
743 H5Gclose (group_hid); |
|
|
744 return false; |
|
|
745 } |
|
|
746 |
|
|
747 H5Sclose (space_hid); |
|
|
748 H5Dclose (data_hid); |
|
|
749 |
|
|
750 data_hid = H5Dopen (group_hid, "data"); |
|
|
751 space_hid = H5Dget_space (data_hid); |
|
|
752 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
753 |
|
|
754 if (rank != 2) |
|
|
755 { |
|
|
756 H5Sclose (space_hid); |
|
|
757 H5Dclose (data_hid); |
|
|
758 H5Gclose (group_hid); |
|
|
759 return false; |
|
|
760 } |
|
|
761 |
|
|
762 H5Sget_simple_extent_dims (space_hid, hdims, maxdims); |
|
|
763 |
|
5322
|
764 if (static_cast<int> (hdims[0]) != nz || static_cast<int> (hdims[1]) != 1) |
|
5164
|
765 { |
|
|
766 H5Sclose (space_hid); |
|
|
767 H5Dclose (data_hid); |
|
|
768 H5Gclose (group_hid); |
|
|
769 return false; |
|
|
770 } |
|
|
771 |
|
|
772 double *dtmp = m.xdata (); |
|
|
773 if (H5Dread (data_hid, H5T_NATIVE_DOUBLE, H5S_ALL, H5S_ALL, |
|
5760
|
774 H5P_DEFAULT, dtmp) < 0) |
|
5164
|
775 { |
|
|
776 H5Sclose (space_hid); |
|
|
777 H5Dclose (data_hid); |
|
|
778 H5Gclose (group_hid); |
|
|
779 return false; |
|
|
780 } |
|
|
781 |
|
|
782 H5Sclose (space_hid); |
|
|
783 H5Dclose (data_hid); |
|
|
784 H5Gclose (group_hid); |
|
|
785 |
|
|
786 matrix = m; |
|
|
787 |
|
|
788 return true; |
|
|
789 } |
|
5900
|
790 |
|
5164
|
791 #endif |
|
|
792 |
|
5900
|
793 mxArray * |
|
|
794 octave_sparse_matrix::as_mxArray (void) const |
|
|
795 { |
|
5903
|
796 int nz = nzmax(); |
|
|
797 int nr = rows(); |
|
|
798 int nc = columns(); |
|
|
799 mxArray *retval = new mxArray (mxDOUBLE_CLASS, nr, nc, nz, mxREAL); |
|
|
800 double *pr = static_cast<double *> (retval->get_data ()); |
|
|
801 int *ir = retval->get_ir(); |
|
|
802 int *jc = retval->get_jc(); |
|
|
803 |
|
|
804 for (int i = 0; i < nz; i++) |
|
|
805 { |
|
|
806 pr[i] = matrix.data(i); |
|
|
807 ir[i] = matrix.ridx(i); |
|
|
808 } |
|
|
809 |
|
|
810 for (int i = 0; i < nc + 1; i++) |
|
|
811 jc[i] = matrix.cidx(i); |
|
|
812 |
|
|
813 return retval; |
|
5900
|
814 } |
|
|
815 |
|
5164
|
816 /* |
|
|
817 ;;; Local Variables: *** |
|
|
818 ;;; mode: C++ *** |
|
|
819 ;;; End: *** |
|
|
820 */ |
