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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", "double"); |
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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 if (numel () > 1) |
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102 gripe_implicit_conversion ("Octave:array-as-scalar", |
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103 "real sparse matrix", "real scalar"); |
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104 |
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105 retval = matrix (0, 0); |
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106 } |
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107 else |
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108 gripe_invalid_conversion ("real sparse matrix", "real scalar"); |
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109 |
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110 return retval; |
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111 } |
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112 |
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113 Complex |
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114 octave_sparse_matrix::complex_value (bool) const |
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115 { |
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116 double tmp = lo_ieee_nan_value (); |
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117 |
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118 Complex retval (tmp, tmp); |
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119 |
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120 // FIXME -- maybe this should be a function, valid_as_scalar() |
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121 if (rows () > 0 && columns () > 0) |
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122 { |
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123 if (numel () > 1) |
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124 gripe_implicit_conversion ("Octave:array-as-scalar", |
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125 "real sparse matrix", "complex scalar"); |
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126 |
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127 retval = matrix (0, 0); |
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128 } |
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129 else |
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130 gripe_invalid_conversion ("real sparse matrix", "complex scalar"); |
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131 |
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132 return retval; |
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133 } |
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134 |
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135 Matrix |
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136 octave_sparse_matrix::matrix_value (bool) const |
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137 { |
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138 return matrix.matrix_value (); |
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139 } |
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140 |
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141 boolNDArray |
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142 octave_sparse_matrix::bool_array_value (bool warn) const |
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143 { |
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144 NDArray m = matrix.matrix_value (); |
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145 |
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146 if (warn && m.any_element_not_one_or_zero ()) |
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147 gripe_logical_conversion (); |
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148 |
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149 return boolNDArray (m); |
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150 } |
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151 |
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152 ComplexMatrix |
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153 octave_sparse_matrix::complex_matrix_value (bool) const |
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154 { |
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155 return ComplexMatrix (matrix.matrix_value ()); |
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156 } |
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157 |
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158 ComplexNDArray |
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159 octave_sparse_matrix::complex_array_value (bool) const |
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160 { |
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161 return ComplexNDArray (ComplexMatrix (matrix.matrix_value ())); |
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162 } |
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163 |
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164 NDArray |
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165 octave_sparse_matrix::array_value (bool) const |
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166 { |
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167 return NDArray (matrix.matrix_value ()); |
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168 } |
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169 |
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170 streamoff_array |
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171 octave_sparse_matrix::streamoff_array_value (void) const |
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172 { |
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173 streamoff_array retval (dims ()); |
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174 octave_idx_type nc = matrix.cols (); |
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175 octave_idx_type nr = matrix.rows (); |
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176 |
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177 for (octave_idx_type j = 0; j < nc; j++) |
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178 for (octave_idx_type i = matrix.cidx(j); i < matrix.cidx(j+1); i++) |
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179 { |
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180 double d = matrix.data(i); |
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181 |
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182 if (D_NINT (d) == d) |
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183 { |
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184 retval(matrix.ridx(i) + nr * j) = |
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185 std::streamoff (static_cast<long> (d)); |
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186 } |
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187 else |
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188 { |
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189 error ("conversion to streamoff_array value failed"); |
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190 break; |
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191 } |
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192 } |
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193 |
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194 return retval; |
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195 } |
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196 |
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197 octave_value |
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198 octave_sparse_matrix::convert_to_str_internal (bool, bool, char type) const |
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199 { |
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200 octave_value retval; |
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201 dim_vector dv = dims (); |
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202 octave_idx_type nel = dv.numel (); |
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203 |
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204 if (nel == 0) |
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205 { |
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206 char s = '\0'; |
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207 retval = octave_value (&s, type); |
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208 } |
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209 else |
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210 { |
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211 octave_idx_type nr = matrix.rows (); |
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212 octave_idx_type nc = matrix.cols (); |
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213 charNDArray chm (dv, static_cast<char> (0)); |
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214 |
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215 bool warned = false; |
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216 |
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217 for (octave_idx_type j = 0; j < nc; j++) |
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218 for (octave_idx_type i = matrix.cidx(j); |
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219 i < matrix.cidx(j+1); i++) |
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220 { |
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221 OCTAVE_QUIT; |
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222 |
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223 double d = matrix.data (i); |
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224 |
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225 if (xisnan (d)) |
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226 { |
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227 ::error ("invalid conversion from NaN to character"); |
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228 return retval; |
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229 } |
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230 else |
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231 { |
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232 int ival = NINT (d); |
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233 |
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234 if (ival < 0 || ival > UCHAR_MAX) |
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235 { |
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236 // FIXME -- is there something |
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237 // better we could do? |
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238 |
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239 ival = 0; |
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240 |
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241 if (! warned) |
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242 { |
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243 ::warning ("range error for conversion to character value"); |
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244 warned = true; |
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245 } |
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246 } |
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247 |
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248 chm (matrix.ridx(i) + j * nr) = |
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249 static_cast<char> (ival); |
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250 } |
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251 } |
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252 retval = octave_value (chm, true, type); |
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253 } |
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254 |
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255 return retval; |
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256 } |
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257 |
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258 bool |
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259 octave_sparse_matrix::save_binary (std::ostream& os, bool&save_as_floats) |
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260 { |
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261 dim_vector d = this->dims (); |
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262 if (d.length() < 1) |
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263 return false; |
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264 |
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265 // Ensure that additional memory is deallocated |
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266 matrix.maybe_compress (); |
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267 |
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268 int nr = d(0); |
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269 int nc = d(1); |
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270 int nz = nzmax (); |
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271 |
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272 int32_t itmp; |
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273 // Use negative value for ndims to be consistent with other formats |
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274 itmp= -2; |
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275 os.write (reinterpret_cast<char *> (&itmp), 4); |
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276 |
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277 itmp= nr; |
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278 os.write (reinterpret_cast<char *> (&itmp), 4); |
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279 |
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280 itmp= nc; |
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281 os.write (reinterpret_cast<char *> (&itmp), 4); |
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282 |
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283 itmp= nz; |
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284 os.write (reinterpret_cast<char *> (&itmp), 4); |
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285 |
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286 save_type st = LS_DOUBLE; |
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287 if (save_as_floats) |
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288 { |
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289 if (matrix.too_large_for_float ()) |
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290 { |
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291 warning ("save: some values too large to save as floats --"); |
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292 warning ("save: saving as doubles instead"); |
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293 } |
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294 else |
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295 st = LS_FLOAT; |
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296 } |
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297 else if (matrix.nzmax () > 8192) // FIXME -- make this configurable. |
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298 { |
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299 double max_val, min_val; |
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300 if (matrix.all_integers (max_val, min_val)) |
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301 st = get_save_type (max_val, min_val); |
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302 } |
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303 |
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304 // add one to the printed indices to go from |
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305 // zero-based to one-based arrays |
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306 for (int i = 0; i < nc+1; i++) |
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307 { |
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308 OCTAVE_QUIT; |
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309 itmp = matrix.cidx(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 for (int i = 0; i < nz; i++) |
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314 { |
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315 OCTAVE_QUIT; |
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316 itmp = matrix.ridx(i); |
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317 os.write (reinterpret_cast<char *> (&itmp), 4); |
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318 } |
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319 |
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320 write_doubles (os, matrix.data(), st, nz); |
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321 |
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322 return true; |
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323 } |
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324 |
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325 bool |
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326 octave_sparse_matrix::load_binary (std::istream& is, bool swap, |
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327 oct_mach_info::float_format fmt) |
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328 { |
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329 int32_t nz, nc, nr, tmp; |
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330 char ctmp; |
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331 |
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332 if (! is.read (reinterpret_cast<char *> (&tmp), 4)) |
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333 return false; |
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334 |
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335 if (swap) |
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336 swap_bytes<4> (&tmp); |
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337 |
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338 if (tmp != -2) { |
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339 error("load: only 2D sparse matrices are supported"); |
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340 return false; |
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341 } |
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342 |
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343 if (! is.read (reinterpret_cast<char *> (&nr), 4)) |
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344 return false; |
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345 if (! is.read (reinterpret_cast<char *> (&nc), 4)) |
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346 return false; |
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347 if (! is.read (reinterpret_cast<char *> (&nz), 4)) |
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348 return false; |
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349 |
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350 if (swap) |
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351 { |
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352 swap_bytes<4> (&nr); |
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353 swap_bytes<4> (&nc); |
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354 swap_bytes<4> (&nz); |
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355 } |
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356 |
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357 SparseMatrix m (static_cast<octave_idx_type> (nr), |
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358 static_cast<octave_idx_type> (nc), |
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359 static_cast<octave_idx_type> (nz)); |
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360 |
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361 for (int i = 0; i < nc+1; i++) |
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362 { |
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363 OCTAVE_QUIT; |
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364 if (! is.read (reinterpret_cast<char *> (&tmp), 4)) |
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365 return false; |
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366 if (swap) |
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367 swap_bytes<4> (&tmp); |
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368 m.xcidx(i) = tmp; |
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369 } |
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370 |
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371 for (int i = 0; i < nz; i++) |
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372 { |
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373 OCTAVE_QUIT; |
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374 if (! is.read (reinterpret_cast<char *> (&tmp), 4)) |
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375 return false; |
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376 if (swap) |
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377 swap_bytes<4> (&tmp); |
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378 m.xridx(i) = tmp; |
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379 } |
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380 |
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381 if (! is.read (reinterpret_cast<char *> (&ctmp), 1)) |
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382 return false; |
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383 |
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384 read_doubles (is, m.xdata (), static_cast<save_type> (ctmp), nz, swap, fmt); |
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385 |
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386 if (error_state || ! is) |
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387 return false; |
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388 matrix = m; |
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389 |
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390 return true; |
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391 } |
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392 |
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393 #if defined (HAVE_HDF5) |
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394 |
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395 bool |
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396 octave_sparse_matrix::save_hdf5 (hid_t loc_id, const char *name, |
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397 bool save_as_floats) |
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398 { |
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399 dim_vector dv = dims (); |
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400 int empty = save_hdf5_empty (loc_id, name, dv); |
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401 if (empty) |
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402 return (empty > 0); |
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403 |
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404 // Ensure that additional memory is deallocated |
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405 matrix.maybe_compress (); |
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406 |
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407 hid_t group_hid = H5Gcreate (loc_id, name, 0); |
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408 if (group_hid < 0) |
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409 return false; |
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410 |
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411 hid_t space_hid = -1, data_hid = -1; |
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412 bool retval = true; |
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413 SparseMatrix m = sparse_matrix_value (); |
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414 octave_idx_type tmp; |
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415 hsize_t hdims[2]; |
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416 |
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5760
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417 space_hid = H5Screate_simple (0, hdims, 0); |
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418 if (space_hid < 0) |
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419 { |
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420 H5Gclose (group_hid); |
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421 return false; |
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422 } |
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423 |
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5351
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424 data_hid = H5Dcreate (group_hid, "nr", H5T_NATIVE_IDX, space_hid, |
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5164
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425 H5P_DEFAULT); |
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426 if (data_hid < 0) |
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427 { |
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428 H5Sclose (space_hid); |
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429 H5Gclose (group_hid); |
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430 return false; |
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431 } |
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432 |
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433 tmp = m.rows (); |
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5351
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434 retval = H5Dwrite (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
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5760
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435 &tmp) >= 0; |
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5164
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436 H5Dclose (data_hid); |
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437 if (!retval) |
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438 { |
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439 H5Sclose (space_hid); |
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440 H5Gclose (group_hid); |
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441 return false; |
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442 } |
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443 |
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5351
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444 data_hid = H5Dcreate (group_hid, "nc", H5T_NATIVE_IDX, space_hid, |
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5164
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445 H5P_DEFAULT); |
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446 if (data_hid < 0) |
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447 { |
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448 H5Sclose (space_hid); |
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449 H5Gclose (group_hid); |
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450 return false; |
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451 } |
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452 |
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453 tmp = m.cols (); |
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5351
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454 retval = H5Dwrite (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
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5760
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455 &tmp) >= 0; |
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5164
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456 H5Dclose (data_hid); |
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457 if (!retval) |
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458 { |
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459 H5Sclose (space_hid); |
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460 H5Gclose (group_hid); |
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461 return false; |
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462 } |
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463 |
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5351
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464 data_hid = H5Dcreate (group_hid, "nz", H5T_NATIVE_IDX, space_hid, |
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5164
|
465 H5P_DEFAULT); |
|
|
466 if (data_hid < 0) |
|
|
467 { |
|
|
468 H5Sclose (space_hid); |
|
|
469 H5Gclose (group_hid); |
|
|
470 return false; |
|
|
471 } |
|
|
472 |
|
5604
|
473 tmp = m.nzmax (); |
|
5351
|
474 retval = H5Dwrite (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
|
5760
|
475 &tmp) >= 0; |
|
5164
|
476 H5Dclose (data_hid); |
|
|
477 if (!retval) |
|
|
478 { |
|
|
479 H5Sclose (space_hid); |
|
|
480 H5Gclose (group_hid); |
|
|
481 return false; |
|
|
482 } |
|
|
483 |
|
|
484 H5Sclose (space_hid); |
|
|
485 |
|
|
486 hdims[0] = m.cols() + 1; |
|
|
487 hdims[1] = 1; |
|
|
488 |
|
|
489 space_hid = H5Screate_simple (2, hdims, 0); |
|
|
490 |
|
|
491 if (space_hid < 0) |
|
|
492 { |
|
|
493 H5Gclose (group_hid); |
|
|
494 return false; |
|
|
495 } |
|
|
496 |
|
5351
|
497 data_hid = H5Dcreate (group_hid, "cidx", H5T_NATIVE_IDX, space_hid, |
|
5164
|
498 H5P_DEFAULT); |
|
|
499 if (data_hid < 0) |
|
|
500 { |
|
|
501 H5Sclose (space_hid); |
|
|
502 H5Gclose (group_hid); |
|
|
503 return false; |
|
|
504 } |
|
|
505 |
|
5351
|
506 octave_idx_type * itmp = m.xcidx (); |
|
|
507 retval = H5Dwrite (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
|
5760
|
508 itmp) >= 0; |
|
5164
|
509 H5Dclose (data_hid); |
|
|
510 if (!retval) |
|
|
511 { |
|
|
512 H5Sclose (space_hid); |
|
|
513 H5Gclose (group_hid); |
|
|
514 return false; |
|
|
515 } |
|
|
516 |
|
|
517 H5Sclose (space_hid); |
|
|
518 |
|
5604
|
519 hdims[0] = m.nzmax (); |
|
5164
|
520 hdims[1] = 1; |
|
|
521 |
|
|
522 space_hid = H5Screate_simple (2, hdims, 0); |
|
|
523 |
|
|
524 if (space_hid < 0) |
|
|
525 { |
|
|
526 H5Gclose (group_hid); |
|
|
527 return false; |
|
|
528 } |
|
|
529 |
|
5351
|
530 data_hid = H5Dcreate (group_hid, "ridx", H5T_NATIVE_IDX, space_hid, |
|
5164
|
531 H5P_DEFAULT); |
|
|
532 if (data_hid < 0) |
|
|
533 { |
|
|
534 H5Sclose (space_hid); |
|
|
535 H5Gclose (group_hid); |
|
|
536 return false; |
|
|
537 } |
|
|
538 |
|
|
539 itmp = m.xridx (); |
|
5351
|
540 retval = H5Dwrite (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
|
5760
|
541 itmp) >= 0; |
|
5164
|
542 H5Dclose (data_hid); |
|
|
543 if (!retval) |
|
|
544 { |
|
|
545 H5Sclose (space_hid); |
|
|
546 H5Gclose (group_hid); |
|
|
547 return false; |
|
|
548 } |
|
|
549 |
|
|
550 hid_t save_type_hid = H5T_NATIVE_DOUBLE; |
|
|
551 |
|
|
552 if (save_as_floats) |
|
|
553 { |
|
|
554 if (m.too_large_for_float ()) |
|
|
555 { |
|
|
556 warning ("save: some values too large to save as floats --"); |
|
|
557 warning ("save: saving as doubles instead"); |
|
|
558 } |
|
|
559 else |
|
|
560 save_type_hid = H5T_NATIVE_FLOAT; |
|
|
561 } |
|
|
562 #if HAVE_HDF5_INT2FLOAT_CONVERSIONS |
|
|
563 // hdf5 currently doesn't support float/integer conversions |
|
|
564 else |
|
|
565 { |
|
|
566 double max_val, min_val; |
|
|
567 |
|
|
568 if (m.all_integers (max_val, min_val)) |
|
|
569 save_type_hid |
|
|
570 = save_type_to_hdf5 (get_save_type (max_val, min_val)); |
|
|
571 } |
|
|
572 #endif /* HAVE_HDF5_INT2FLOAT_CONVERSIONS */ |
|
|
573 |
|
|
574 data_hid = H5Dcreate (group_hid, "data", save_type_hid, space_hid, |
|
|
575 H5P_DEFAULT); |
|
|
576 if (data_hid < 0) |
|
|
577 { |
|
|
578 H5Sclose (space_hid); |
|
|
579 H5Gclose (group_hid); |
|
|
580 return false; |
|
|
581 } |
|
|
582 |
|
|
583 double * dtmp = m.xdata (); |
|
|
584 retval = H5Dwrite (data_hid, H5T_NATIVE_DOUBLE, H5S_ALL, H5S_ALL, |
|
5760
|
585 H5P_DEFAULT, dtmp) >= 0; |
|
5164
|
586 H5Dclose (data_hid); |
|
|
587 H5Sclose (space_hid); |
|
|
588 H5Gclose (group_hid); |
|
|
589 |
|
|
590 return retval; |
|
|
591 } |
|
|
592 |
|
|
593 bool |
|
|
594 octave_sparse_matrix::load_hdf5 (hid_t loc_id, const char *name, |
|
5760
|
595 bool /* have_h5giterate_bug */) |
|
5164
|
596 { |
|
5351
|
597 octave_idx_type nr, nc, nz; |
|
5164
|
598 hid_t group_hid, data_hid, space_hid; |
|
|
599 hsize_t rank; |
|
|
600 |
|
|
601 dim_vector dv; |
|
|
602 int empty = load_hdf5_empty (loc_id, name, dv); |
|
|
603 if (empty > 0) |
|
|
604 matrix.resize(dv); |
|
|
605 if (empty) |
|
|
606 return (empty > 0); |
|
|
607 |
|
|
608 group_hid = H5Gopen (loc_id, name); |
|
5760
|
609 if (group_hid < 0) return false; |
|
5164
|
610 |
|
|
611 data_hid = H5Dopen (group_hid, "nr"); |
|
|
612 space_hid = H5Dget_space (data_hid); |
|
|
613 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
614 |
|
|
615 if (rank != 0) |
|
|
616 { |
|
|
617 H5Dclose (data_hid); |
|
|
618 H5Gclose (group_hid); |
|
|
619 return false; |
|
|
620 } |
|
|
621 |
|
5351
|
622 if (H5Dread (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, |
|
5760
|
623 H5P_DEFAULT, &nr) < 0) |
|
5164
|
624 { |
|
|
625 H5Dclose (data_hid); |
|
|
626 H5Gclose (group_hid); |
|
|
627 return false; |
|
|
628 } |
|
|
629 |
|
|
630 H5Dclose (data_hid); |
|
|
631 |
|
|
632 data_hid = H5Dopen (group_hid, "nc"); |
|
|
633 space_hid = H5Dget_space (data_hid); |
|
|
634 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
635 |
|
|
636 if (rank != 0) |
|
|
637 { |
|
|
638 H5Dclose (data_hid); |
|
|
639 H5Gclose (group_hid); |
|
|
640 return false; |
|
|
641 } |
|
|
642 |
|
5351
|
643 if (H5Dread (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, |
|
5760
|
644 H5P_DEFAULT, &nc) < 0) |
|
5164
|
645 { |
|
|
646 H5Dclose (data_hid); |
|
|
647 H5Gclose (group_hid); |
|
|
648 return false; |
|
|
649 } |
|
|
650 |
|
|
651 H5Dclose (data_hid); |
|
|
652 |
|
|
653 data_hid = H5Dopen (group_hid, "nz"); |
|
|
654 space_hid = H5Dget_space (data_hid); |
|
|
655 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
656 |
|
|
657 if (rank != 0) |
|
|
658 { |
|
|
659 H5Dclose (data_hid); |
|
|
660 H5Gclose (group_hid); |
|
|
661 return false; |
|
|
662 } |
|
|
663 |
|
5351
|
664 if (H5Dread (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, |
|
5760
|
665 H5P_DEFAULT, &nz) < 0) |
|
5164
|
666 { |
|
|
667 H5Dclose (data_hid); |
|
|
668 H5Gclose (group_hid); |
|
|
669 return false; |
|
|
670 } |
|
|
671 |
|
|
672 H5Dclose (data_hid); |
|
|
673 |
|
5275
|
674 SparseMatrix m (static_cast<octave_idx_type> (nr), |
|
|
675 static_cast<octave_idx_type> (nc), |
|
|
676 static_cast<octave_idx_type> (nz)); |
|
5164
|
677 |
|
|
678 data_hid = H5Dopen (group_hid, "cidx"); |
|
|
679 space_hid = H5Dget_space (data_hid); |
|
|
680 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
681 |
|
|
682 if (rank != 2) |
|
|
683 { |
|
|
684 H5Sclose (space_hid); |
|
|
685 H5Dclose (data_hid); |
|
|
686 H5Gclose (group_hid); |
|
|
687 return false; |
|
|
688 } |
|
|
689 |
|
|
690 OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank); |
|
|
691 OCTAVE_LOCAL_BUFFER (hsize_t, maxdims, rank); |
|
|
692 |
|
|
693 H5Sget_simple_extent_dims (space_hid, hdims, maxdims); |
|
|
694 |
|
5322
|
695 if (static_cast<int> (hdims[0]) != nc + 1 || |
|
|
696 static_cast<int> (hdims[1]) != 1) |
|
5164
|
697 { |
|
|
698 H5Sclose (space_hid); |
|
|
699 H5Dclose (data_hid); |
|
|
700 H5Gclose (group_hid); |
|
|
701 return false; |
|
|
702 } |
|
|
703 |
|
5351
|
704 octave_idx_type *itmp = m.xcidx (); |
|
|
705 if (H5Dread (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, |
|
5760
|
706 H5P_DEFAULT, itmp) < 0) |
|
5164
|
707 { |
|
|
708 H5Sclose (space_hid); |
|
|
709 H5Dclose (data_hid); |
|
|
710 H5Gclose (group_hid); |
|
|
711 return false; |
|
|
712 } |
|
|
713 |
|
|
714 H5Sclose (space_hid); |
|
|
715 H5Dclose (data_hid); |
|
|
716 |
|
|
717 data_hid = H5Dopen (group_hid, "ridx"); |
|
|
718 space_hid = H5Dget_space (data_hid); |
|
|
719 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
720 |
|
|
721 if (rank != 2) |
|
|
722 { |
|
|
723 H5Sclose (space_hid); |
|
|
724 H5Dclose (data_hid); |
|
|
725 H5Gclose (group_hid); |
|
|
726 return false; |
|
|
727 } |
|
|
728 |
|
|
729 H5Sget_simple_extent_dims (space_hid, hdims, maxdims); |
|
|
730 |
|
5322
|
731 if (static_cast<int> (hdims[0]) != nz || static_cast<int> (hdims[1]) != 1) |
|
5164
|
732 { |
|
|
733 H5Sclose (space_hid); |
|
|
734 H5Dclose (data_hid); |
|
|
735 H5Gclose (group_hid); |
|
|
736 return false; |
|
|
737 } |
|
|
738 |
|
|
739 itmp = m.xridx (); |
|
5351
|
740 if (H5Dread (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, |
|
5760
|
741 H5P_DEFAULT, itmp) < 0) |
|
5164
|
742 { |
|
|
743 H5Sclose (space_hid); |
|
|
744 H5Dclose (data_hid); |
|
|
745 H5Gclose (group_hid); |
|
|
746 return false; |
|
|
747 } |
|
|
748 |
|
|
749 H5Sclose (space_hid); |
|
|
750 H5Dclose (data_hid); |
|
|
751 |
|
|
752 data_hid = H5Dopen (group_hid, "data"); |
|
|
753 space_hid = H5Dget_space (data_hid); |
|
|
754 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
755 |
|
|
756 if (rank != 2) |
|
|
757 { |
|
|
758 H5Sclose (space_hid); |
|
|
759 H5Dclose (data_hid); |
|
|
760 H5Gclose (group_hid); |
|
|
761 return false; |
|
|
762 } |
|
|
763 |
|
|
764 H5Sget_simple_extent_dims (space_hid, hdims, maxdims); |
|
|
765 |
|
5322
|
766 if (static_cast<int> (hdims[0]) != nz || static_cast<int> (hdims[1]) != 1) |
|
5164
|
767 { |
|
|
768 H5Sclose (space_hid); |
|
|
769 H5Dclose (data_hid); |
|
|
770 H5Gclose (group_hid); |
|
|
771 return false; |
|
|
772 } |
|
|
773 |
|
|
774 double *dtmp = m.xdata (); |
|
|
775 if (H5Dread (data_hid, H5T_NATIVE_DOUBLE, H5S_ALL, H5S_ALL, |
|
5760
|
776 H5P_DEFAULT, dtmp) < 0) |
|
5164
|
777 { |
|
|
778 H5Sclose (space_hid); |
|
|
779 H5Dclose (data_hid); |
|
|
780 H5Gclose (group_hid); |
|
|
781 return false; |
|
|
782 } |
|
|
783 |
|
|
784 H5Sclose (space_hid); |
|
|
785 H5Dclose (data_hid); |
|
|
786 H5Gclose (group_hid); |
|
|
787 |
|
|
788 matrix = m; |
|
|
789 |
|
|
790 return true; |
|
|
791 } |
|
5900
|
792 |
|
5164
|
793 #endif |
|
|
794 |
|
5900
|
795 mxArray * |
|
|
796 octave_sparse_matrix::as_mxArray (void) const |
|
|
797 { |
|
6686
|
798 mwSize nz = nzmax(); |
|
|
799 mwSize nr = rows(); |
|
|
800 mwSize nc = columns(); |
|
5903
|
801 mxArray *retval = new mxArray (mxDOUBLE_CLASS, nr, nc, nz, mxREAL); |
|
|
802 double *pr = static_cast<double *> (retval->get_data ()); |
|
6686
|
803 mwIndex *ir = retval->get_ir(); |
|
|
804 mwIndex *jc = retval->get_jc(); |
|
5903
|
805 |
|
6686
|
806 for (mwIndex i = 0; i < nz; i++) |
|
5903
|
807 { |
|
|
808 pr[i] = matrix.data(i); |
|
|
809 ir[i] = matrix.ridx(i); |
|
|
810 } |
|
|
811 |
|
6686
|
812 for (mwIndex i = 0; i < nc + 1; i++) |
|
5903
|
813 jc[i] = matrix.cidx(i); |
|
|
814 |
|
|
815 return retval; |
|
5900
|
816 } |
|
|
817 |
|
5164
|
818 /* |
|
|
819 ;;; Local Variables: *** |
|
|
820 ;;; mode: C++ *** |
|
|
821 ;;; End: *** |
|
|
822 */ |
