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1 /* |
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2 |
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3 Copyright (C) 2004 David Bateman |
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4 Copyright (C) 1998-2004 Andy Adler |
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5 |
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6 Octave is free software; you can redistribute it and/or modify it |
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7 under the terms of the GNU General Public License as published by the |
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8 Free Software Foundation; either version 2, or (at your option) any |
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9 later version. |
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10 |
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11 Octave is distributed in the hope that it will be useful, but WITHOUT |
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12 ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or |
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13 FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License |
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14 for more details. |
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15 |
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16 You should have received a copy of the GNU General Public License |
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17 along with this program; see the file COPYING. If not, write to the |
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18 Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, |
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19 Boston, MA 02110-1301, USA. |
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20 |
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21 */ |
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22 |
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23 #ifdef HAVE_CONFIG_H |
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24 #include <config.h> |
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25 #endif |
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26 |
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27 #include <climits> |
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28 |
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29 #include <iostream> |
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30 #include <vector> |
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31 |
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32 #include "ov-base.h" |
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33 #include "ov-scalar.h" |
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34 #include "gripes.h" |
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35 |
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36 #include "ls-hdf5.h" |
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37 |
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38 #include "ov-re-sparse.h" |
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39 |
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40 #include "ov-base-sparse.h" |
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41 #include "ov-base-sparse.cc" |
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42 |
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43 #include "ov-bool-sparse.h" |
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44 |
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45 template class octave_base_sparse<SparseMatrix>; |
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46 |
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47 DEFINE_OCTAVE_ALLOCATOR (octave_sparse_matrix); |
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48 |
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49 DEFINE_OV_TYPEID_FUNCTIONS_AND_DATA (octave_sparse_matrix, "sparse matrix", "sparse"); |
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50 |
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51 idx_vector |
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52 octave_sparse_matrix::index_vector (void) const |
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53 { |
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54 if (matrix.numel () == matrix.nnz ()) |
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55 return idx_vector (array_value ()); |
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56 else |
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57 { |
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58 std::string nm = type_name (); |
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59 error ("%s type invalid as index value", nm.c_str ()); |
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60 return idx_vector (); |
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61 } |
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62 } |
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63 |
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64 octave_base_value * |
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65 octave_sparse_matrix::try_narrowing_conversion (void) |
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66 { |
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67 octave_base_value *retval = 0; |
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68 |
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69 // Don't use numel, since it can overflow for very large matrices |
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70 // Note that for the second test, this means it becomes approximative |
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71 // since it involves a cast to double to avoid issues of overflow |
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72 if (matrix.rows () == 1 && matrix.cols () == 1) |
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73 { |
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74 // Const copy of the matrix, so the right version of () operator used |
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75 const SparseMatrix tmp (matrix); |
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76 |
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77 retval = new octave_scalar (tmp (0)); |
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78 } |
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79 else if (matrix.cols () > 0 && matrix.rows () > 0 && |
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80 double (matrix.byte_size ()) > double (matrix.rows ()) * |
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81 double (matrix.cols ()) * sizeof (double)) |
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82 retval = new octave_matrix (matrix.matrix_value ()); |
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83 |
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84 return retval; |
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85 } |
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86 |
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87 bool |
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88 octave_sparse_matrix::valid_as_scalar_index (void) const |
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89 { |
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90 // XXX FIXME XXX |
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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 // XXX FIXME XXX -- is warn_fortran_indexing the right variable here? |
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102 if (Vwarn_fortran_indexing) |
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103 gripe_implicit_conversion ("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 // XXX FIXME XXX -- 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 // XXX FIXME XXX -- is warn_fortran_indexing the right variable here? |
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124 if (Vwarn_fortran_indexing) |
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125 gripe_implicit_conversion ("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 ComplexMatrix |
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142 octave_sparse_matrix::complex_matrix_value (bool) const |
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143 { |
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144 return ComplexMatrix (matrix.matrix_value ()); |
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145 } |
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146 |
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147 ComplexNDArray |
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148 octave_sparse_matrix::complex_array_value (bool) const |
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149 { |
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150 return ComplexNDArray (ComplexMatrix (matrix.matrix_value ())); |
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151 } |
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152 |
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153 NDArray |
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154 octave_sparse_matrix::array_value (bool) const |
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155 { |
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156 return NDArray (matrix.matrix_value ()); |
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157 } |
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158 |
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159 streamoff_array |
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160 octave_sparse_matrix::streamoff_array_value (void) const |
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161 { |
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162 streamoff_array retval (dims ()); |
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163 octave_idx_type nc = matrix.cols (); |
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164 octave_idx_type nr = matrix.rows (); |
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165 |
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166 for (octave_idx_type j = 0; j < nc; j++) |
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167 for (octave_idx_type i = matrix.cidx(j); i < matrix.cidx(j+1); i++) |
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168 { |
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169 double d = matrix.data(i); |
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170 |
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171 if (D_NINT (d) == d) |
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172 { |
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173 retval(matrix.ridx(i) + nr * j) = |
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174 std::streamoff (static_cast<long> (d)); |
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175 } |
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176 else |
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177 { |
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178 error ("conversion to streamoff_array value failed"); |
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179 break; |
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180 } |
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181 } |
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182 |
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183 return retval; |
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184 } |
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185 |
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186 octave_value |
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187 octave_sparse_matrix::convert_to_str_internal (bool, bool, char type) const |
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188 { |
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189 octave_value retval; |
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190 dim_vector dv = dims (); |
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191 octave_idx_type nel = dv.numel (); |
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192 |
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193 if (nel == 0) |
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194 { |
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195 char s = '\0'; |
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196 retval = octave_value (&s, type); |
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197 } |
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198 else |
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199 { |
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200 octave_idx_type nr = matrix.rows (); |
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201 octave_idx_type nc = matrix.cols (); |
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202 charNDArray chm (dv, static_cast<char> (0)); |
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203 |
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204 bool warned = false; |
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205 |
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206 for (octave_idx_type j = 0; j < nc; j++) |
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207 for (octave_idx_type i = matrix.cidx(j); |
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208 i < matrix.cidx(j+1); i++) |
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209 { |
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210 OCTAVE_QUIT; |
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211 |
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212 double d = matrix.data (i); |
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213 |
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214 if (xisnan (d)) |
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215 { |
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216 ::error ("invalid conversion from NaN to character"); |
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217 return retval; |
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218 } |
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219 else |
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220 { |
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221 int ival = NINT (d); |
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222 |
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223 if (ival < 0 || ival > UCHAR_MAX) |
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224 { |
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225 // XXX FIXME XXX -- is there something |
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226 // better we could do? |
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227 |
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228 ival = 0; |
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229 |
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230 if (! warned) |
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231 { |
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232 ::warning ("range error for conversion to character value"); |
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233 warned = true; |
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234 } |
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235 } |
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236 |
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237 chm (matrix.ridx(i) + j * nr) = |
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238 static_cast<char> (ival); |
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239 } |
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240 } |
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241 retval = octave_value (chm, true, type); |
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242 } |
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243 |
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244 return retval; |
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245 } |
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246 |
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247 bool |
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248 octave_sparse_matrix::save_binary (std::ostream& os, bool&save_as_floats) |
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249 { |
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250 dim_vector d = this->dims (); |
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251 if (d.length() < 1) |
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252 return false; |
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253 |
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254 // Ensure that additional memory is deallocated |
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255 matrix.maybe_compress (); |
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256 |
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257 int nr = d(0); |
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258 int nc = d(1); |
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259 int nz = nzmax (); |
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260 |
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261 FOUR_BYTE_INT itmp; |
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262 // Use negative value for ndims to be consistent with other formats |
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263 itmp= -2; |
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264 os.write (reinterpret_cast<char *> (&itmp), 4); |
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265 |
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266 itmp= nr; |
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267 os.write (reinterpret_cast<char *> (&itmp), 4); |
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268 |
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269 itmp= nc; |
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270 os.write (reinterpret_cast<char *> (&itmp), 4); |
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271 |
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272 itmp= nz; |
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273 os.write (reinterpret_cast<char *> (&itmp), 4); |
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274 |
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275 save_type st = LS_DOUBLE; |
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276 if (save_as_floats) |
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277 { |
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278 if (matrix.too_large_for_float ()) |
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279 { |
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280 warning ("save: some values too large to save as floats --"); |
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281 warning ("save: saving as doubles instead"); |
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282 } |
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283 else |
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284 st = LS_FLOAT; |
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285 } |
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286 else if (matrix.nzmax () > 8192) // XXX FIXME XXX -- make this configurable. |
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287 { |
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288 double max_val, min_val; |
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289 if (matrix.all_integers (max_val, min_val)) |
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290 st = get_save_type (max_val, min_val); |
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291 } |
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292 |
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293 // add one to the printed indices to go from |
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294 // zero-based to one-based arrays |
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295 for (int i = 0; i < nc+1; i++) |
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296 { |
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297 OCTAVE_QUIT; |
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298 itmp = matrix.cidx(i); |
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299 os.write (reinterpret_cast<char *> (&itmp), 4); |
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300 } |
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301 |
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302 for (int i = 0; i < nz; i++) |
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303 { |
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304 OCTAVE_QUIT; |
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305 itmp = matrix.ridx(i); |
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306 os.write (reinterpret_cast<char *> (&itmp), 4); |
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307 } |
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308 |
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309 write_doubles (os, matrix.data(), st, nz); |
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310 |
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311 return true; |
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312 } |
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313 |
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314 bool |
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315 octave_sparse_matrix::load_binary (std::istream& is, bool swap, |
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316 oct_mach_info::float_format fmt) |
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317 { |
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318 FOUR_BYTE_INT nz, nc, nr, tmp; |
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319 char ctmp; |
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320 |
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321 if (! is.read (reinterpret_cast<char *> (&tmp), 4)) |
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322 return false; |
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323 |
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324 if (swap) |
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325 swap_bytes<4> (&tmp); |
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326 |
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327 if (tmp != -2) { |
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328 error("load: only 2D sparse matrices are supported"); |
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329 return false; |
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330 } |
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331 |
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332 if (! is.read (reinterpret_cast<char *> (&nr), 4)) |
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333 return false; |
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334 if (! is.read (reinterpret_cast<char *> (&nc), 4)) |
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335 return false; |
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336 if (! is.read (reinterpret_cast<char *> (&nz), 4)) |
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337 return false; |
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338 |
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339 if (swap) |
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340 { |
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341 swap_bytes<4> (&nr); |
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342 swap_bytes<4> (&nc); |
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343 swap_bytes<4> (&nz); |
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344 } |
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345 |
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346 SparseMatrix m (static_cast<octave_idx_type> (nr), |
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347 static_cast<octave_idx_type> (nc), |
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348 static_cast<octave_idx_type> (nz)); |
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349 |
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350 for (int i = 0; i < nc+1; i++) |
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351 { |
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352 OCTAVE_QUIT; |
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353 if (! is.read (reinterpret_cast<char *> (&tmp), 4)) |
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354 return false; |
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355 if (swap) |
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356 swap_bytes<4> (&tmp); |
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357 m.xcidx(i) = tmp; |
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358 } |
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359 |
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360 for (int i = 0; i < nz; i++) |
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361 { |
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362 OCTAVE_QUIT; |
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363 if (! is.read (reinterpret_cast<char *> (&tmp), 4)) |
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364 return false; |
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365 if (swap) |
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366 swap_bytes<4> (&tmp); |
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367 m.xridx(i) = tmp; |
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368 } |
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369 |
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370 if (! is.read (reinterpret_cast<char *> (&ctmp), 1)) |
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371 return false; |
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372 |
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373 read_doubles (is, m.xdata (), static_cast<save_type> (ctmp), nz, swap, fmt); |
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374 |
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375 if (error_state || ! is) |
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376 return false; |
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377 matrix = m; |
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378 |
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379 return true; |
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380 } |
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381 |
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382 #if defined (HAVE_HDF5) |
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383 bool |
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384 octave_sparse_matrix::save_hdf5 (hid_t loc_id, const char *name, |
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385 bool save_as_floats) |
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386 { |
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387 dim_vector dv = dims (); |
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388 int empty = save_hdf5_empty (loc_id, name, dv); |
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389 if (empty) |
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390 return (empty > 0); |
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391 |
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392 // Ensure that additional memory is deallocated |
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393 matrix.maybe_compress (); |
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394 |
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395 hid_t group_hid = H5Gcreate (loc_id, name, 0); |
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396 if (group_hid < 0) |
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397 return false; |
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398 |
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399 hid_t space_hid = -1, data_hid = -1; |
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400 bool retval = true; |
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401 SparseMatrix m = sparse_matrix_value (); |
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402 octave_idx_type tmp; |
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403 hsize_t hdims[2]; |
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404 |
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5760
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405 space_hid = H5Screate_simple (0, hdims, 0); |
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406 if (space_hid < 0) |
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407 { |
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408 H5Gclose (group_hid); |
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409 return false; |
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410 } |
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411 |
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412 data_hid = H5Dcreate (group_hid, "nr", H5T_NATIVE_IDX, space_hid, |
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413 H5P_DEFAULT); |
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414 if (data_hid < 0) |
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415 { |
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416 H5Sclose (space_hid); |
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417 H5Gclose (group_hid); |
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418 return false; |
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419 } |
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420 |
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421 tmp = m.rows (); |
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422 retval = H5Dwrite (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
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5760
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423 &tmp) >= 0; |
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424 H5Dclose (data_hid); |
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425 if (!retval) |
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426 { |
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427 H5Sclose (space_hid); |
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428 H5Gclose (group_hid); |
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429 return false; |
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430 } |
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431 |
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5351
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432 data_hid = H5Dcreate (group_hid, "nc", H5T_NATIVE_IDX, space_hid, |
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433 H5P_DEFAULT); |
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434 if (data_hid < 0) |
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435 { |
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436 H5Sclose (space_hid); |
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437 H5Gclose (group_hid); |
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438 return false; |
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439 } |
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440 |
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441 tmp = m.cols (); |
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5351
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442 retval = H5Dwrite (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
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5760
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443 &tmp) >= 0; |
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444 H5Dclose (data_hid); |
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445 if (!retval) |
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446 { |
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447 H5Sclose (space_hid); |
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448 H5Gclose (group_hid); |
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449 return false; |
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450 } |
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451 |
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5351
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452 data_hid = H5Dcreate (group_hid, "nz", H5T_NATIVE_IDX, space_hid, |
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453 H5P_DEFAULT); |
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454 if (data_hid < 0) |
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455 { |
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456 H5Sclose (space_hid); |
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457 H5Gclose (group_hid); |
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458 return false; |
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459 } |
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460 |
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5604
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461 tmp = m.nzmax (); |
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5351
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462 retval = H5Dwrite (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
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5760
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463 &tmp) >= 0; |
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5164
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464 H5Dclose (data_hid); |
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465 if (!retval) |
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466 { |
|
|
467 H5Sclose (space_hid); |
|
|
468 H5Gclose (group_hid); |
|
|
469 return false; |
|
|
470 } |
|
|
471 |
|
|
472 H5Sclose (space_hid); |
|
|
473 |
|
|
474 hdims[0] = m.cols() + 1; |
|
|
475 hdims[1] = 1; |
|
|
476 |
|
|
477 space_hid = H5Screate_simple (2, hdims, 0); |
|
|
478 |
|
|
479 if (space_hid < 0) |
|
|
480 { |
|
|
481 H5Gclose (group_hid); |
|
|
482 return false; |
|
|
483 } |
|
|
484 |
|
5351
|
485 data_hid = H5Dcreate (group_hid, "cidx", H5T_NATIVE_IDX, space_hid, |
|
5164
|
486 H5P_DEFAULT); |
|
|
487 if (data_hid < 0) |
|
|
488 { |
|
|
489 H5Sclose (space_hid); |
|
|
490 H5Gclose (group_hid); |
|
|
491 return false; |
|
|
492 } |
|
|
493 |
|
5351
|
494 octave_idx_type * itmp = m.xcidx (); |
|
|
495 retval = H5Dwrite (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
|
5760
|
496 itmp) >= 0; |
|
5164
|
497 H5Dclose (data_hid); |
|
|
498 if (!retval) |
|
|
499 { |
|
|
500 H5Sclose (space_hid); |
|
|
501 H5Gclose (group_hid); |
|
|
502 return false; |
|
|
503 } |
|
|
504 |
|
|
505 H5Sclose (space_hid); |
|
|
506 |
|
5604
|
507 hdims[0] = m.nzmax (); |
|
5164
|
508 hdims[1] = 1; |
|
|
509 |
|
|
510 space_hid = H5Screate_simple (2, hdims, 0); |
|
|
511 |
|
|
512 if (space_hid < 0) |
|
|
513 { |
|
|
514 H5Gclose (group_hid); |
|
|
515 return false; |
|
|
516 } |
|
|
517 |
|
5351
|
518 data_hid = H5Dcreate (group_hid, "ridx", H5T_NATIVE_IDX, space_hid, |
|
5164
|
519 H5P_DEFAULT); |
|
|
520 if (data_hid < 0) |
|
|
521 { |
|
|
522 H5Sclose (space_hid); |
|
|
523 H5Gclose (group_hid); |
|
|
524 return false; |
|
|
525 } |
|
|
526 |
|
|
527 itmp = m.xridx (); |
|
5351
|
528 retval = H5Dwrite (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
|
5760
|
529 itmp) >= 0; |
|
5164
|
530 H5Dclose (data_hid); |
|
|
531 if (!retval) |
|
|
532 { |
|
|
533 H5Sclose (space_hid); |
|
|
534 H5Gclose (group_hid); |
|
|
535 return false; |
|
|
536 } |
|
|
537 |
|
|
538 hid_t save_type_hid = H5T_NATIVE_DOUBLE; |
|
|
539 |
|
|
540 if (save_as_floats) |
|
|
541 { |
|
|
542 if (m.too_large_for_float ()) |
|
|
543 { |
|
|
544 warning ("save: some values too large to save as floats --"); |
|
|
545 warning ("save: saving as doubles instead"); |
|
|
546 } |
|
|
547 else |
|
|
548 save_type_hid = H5T_NATIVE_FLOAT; |
|
|
549 } |
|
|
550 #if HAVE_HDF5_INT2FLOAT_CONVERSIONS |
|
|
551 // hdf5 currently doesn't support float/integer conversions |
|
|
552 else |
|
|
553 { |
|
|
554 double max_val, min_val; |
|
|
555 |
|
|
556 if (m.all_integers (max_val, min_val)) |
|
|
557 save_type_hid |
|
|
558 = save_type_to_hdf5 (get_save_type (max_val, min_val)); |
|
|
559 } |
|
|
560 #endif /* HAVE_HDF5_INT2FLOAT_CONVERSIONS */ |
|
|
561 |
|
|
562 data_hid = H5Dcreate (group_hid, "data", save_type_hid, space_hid, |
|
|
563 H5P_DEFAULT); |
|
|
564 if (data_hid < 0) |
|
|
565 { |
|
|
566 H5Sclose (space_hid); |
|
|
567 H5Gclose (group_hid); |
|
|
568 return false; |
|
|
569 } |
|
|
570 |
|
|
571 double * dtmp = m.xdata (); |
|
|
572 retval = H5Dwrite (data_hid, H5T_NATIVE_DOUBLE, H5S_ALL, H5S_ALL, |
|
5760
|
573 H5P_DEFAULT, dtmp) >= 0; |
|
5164
|
574 H5Dclose (data_hid); |
|
|
575 H5Sclose (space_hid); |
|
|
576 H5Gclose (group_hid); |
|
|
577 |
|
|
578 return retval; |
|
|
579 } |
|
|
580 |
|
|
581 bool |
|
|
582 octave_sparse_matrix::load_hdf5 (hid_t loc_id, const char *name, |
|
5760
|
583 bool /* have_h5giterate_bug */) |
|
5164
|
584 { |
|
5351
|
585 octave_idx_type nr, nc, nz; |
|
5164
|
586 hid_t group_hid, data_hid, space_hid; |
|
|
587 hsize_t rank; |
|
|
588 |
|
|
589 dim_vector dv; |
|
|
590 int empty = load_hdf5_empty (loc_id, name, dv); |
|
|
591 if (empty > 0) |
|
|
592 matrix.resize(dv); |
|
|
593 if (empty) |
|
|
594 return (empty > 0); |
|
|
595 |
|
|
596 group_hid = H5Gopen (loc_id, name); |
|
5760
|
597 if (group_hid < 0) return false; |
|
5164
|
598 |
|
|
599 data_hid = H5Dopen (group_hid, "nr"); |
|
|
600 space_hid = H5Dget_space (data_hid); |
|
|
601 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
602 |
|
|
603 if (rank != 0) |
|
|
604 { |
|
|
605 H5Dclose (data_hid); |
|
|
606 H5Gclose (group_hid); |
|
|
607 return false; |
|
|
608 } |
|
|
609 |
|
5351
|
610 if (H5Dread (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, |
|
5760
|
611 H5P_DEFAULT, &nr) < 0) |
|
5164
|
612 { |
|
|
613 H5Dclose (data_hid); |
|
|
614 H5Gclose (group_hid); |
|
|
615 return false; |
|
|
616 } |
|
|
617 |
|
|
618 H5Dclose (data_hid); |
|
|
619 |
|
|
620 data_hid = H5Dopen (group_hid, "nc"); |
|
|
621 space_hid = H5Dget_space (data_hid); |
|
|
622 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
623 |
|
|
624 if (rank != 0) |
|
|
625 { |
|
|
626 H5Dclose (data_hid); |
|
|
627 H5Gclose (group_hid); |
|
|
628 return false; |
|
|
629 } |
|
|
630 |
|
5351
|
631 if (H5Dread (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, |
|
5760
|
632 H5P_DEFAULT, &nc) < 0) |
|
5164
|
633 { |
|
|
634 H5Dclose (data_hid); |
|
|
635 H5Gclose (group_hid); |
|
|
636 return false; |
|
|
637 } |
|
|
638 |
|
|
639 H5Dclose (data_hid); |
|
|
640 |
|
|
641 data_hid = H5Dopen (group_hid, "nz"); |
|
|
642 space_hid = H5Dget_space (data_hid); |
|
|
643 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
644 |
|
|
645 if (rank != 0) |
|
|
646 { |
|
|
647 H5Dclose (data_hid); |
|
|
648 H5Gclose (group_hid); |
|
|
649 return false; |
|
|
650 } |
|
|
651 |
|
5351
|
652 if (H5Dread (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, |
|
5760
|
653 H5P_DEFAULT, &nz) < 0) |
|
5164
|
654 { |
|
|
655 H5Dclose (data_hid); |
|
|
656 H5Gclose (group_hid); |
|
|
657 return false; |
|
|
658 } |
|
|
659 |
|
|
660 H5Dclose (data_hid); |
|
|
661 |
|
5275
|
662 SparseMatrix m (static_cast<octave_idx_type> (nr), |
|
|
663 static_cast<octave_idx_type> (nc), |
|
|
664 static_cast<octave_idx_type> (nz)); |
|
5164
|
665 |
|
|
666 data_hid = H5Dopen (group_hid, "cidx"); |
|
|
667 space_hid = H5Dget_space (data_hid); |
|
|
668 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
669 |
|
|
670 if (rank != 2) |
|
|
671 { |
|
|
672 H5Sclose (space_hid); |
|
|
673 H5Dclose (data_hid); |
|
|
674 H5Gclose (group_hid); |
|
|
675 return false; |
|
|
676 } |
|
|
677 |
|
|
678 OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank); |
|
|
679 OCTAVE_LOCAL_BUFFER (hsize_t, maxdims, rank); |
|
|
680 |
|
|
681 H5Sget_simple_extent_dims (space_hid, hdims, maxdims); |
|
|
682 |
|
5322
|
683 if (static_cast<int> (hdims[0]) != nc + 1 || |
|
|
684 static_cast<int> (hdims[1]) != 1) |
|
5164
|
685 { |
|
|
686 H5Sclose (space_hid); |
|
|
687 H5Dclose (data_hid); |
|
|
688 H5Gclose (group_hid); |
|
|
689 return false; |
|
|
690 } |
|
|
691 |
|
5351
|
692 octave_idx_type *itmp = m.xcidx (); |
|
|
693 if (H5Dread (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, |
|
5760
|
694 H5P_DEFAULT, itmp) < 0) |
|
5164
|
695 { |
|
|
696 H5Sclose (space_hid); |
|
|
697 H5Dclose (data_hid); |
|
|
698 H5Gclose (group_hid); |
|
|
699 return false; |
|
|
700 } |
|
|
701 |
|
|
702 H5Sclose (space_hid); |
|
|
703 H5Dclose (data_hid); |
|
|
704 |
|
|
705 data_hid = H5Dopen (group_hid, "ridx"); |
|
|
706 space_hid = H5Dget_space (data_hid); |
|
|
707 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
708 |
|
|
709 if (rank != 2) |
|
|
710 { |
|
|
711 H5Sclose (space_hid); |
|
|
712 H5Dclose (data_hid); |
|
|
713 H5Gclose (group_hid); |
|
|
714 return false; |
|
|
715 } |
|
|
716 |
|
|
717 H5Sget_simple_extent_dims (space_hid, hdims, maxdims); |
|
|
718 |
|
5322
|
719 if (static_cast<int> (hdims[0]) != nz || static_cast<int> (hdims[1]) != 1) |
|
5164
|
720 { |
|
|
721 H5Sclose (space_hid); |
|
|
722 H5Dclose (data_hid); |
|
|
723 H5Gclose (group_hid); |
|
|
724 return false; |
|
|
725 } |
|
|
726 |
|
|
727 itmp = m.xridx (); |
|
5351
|
728 if (H5Dread (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, |
|
5760
|
729 H5P_DEFAULT, itmp) < 0) |
|
5164
|
730 { |
|
|
731 H5Sclose (space_hid); |
|
|
732 H5Dclose (data_hid); |
|
|
733 H5Gclose (group_hid); |
|
|
734 return false; |
|
|
735 } |
|
|
736 |
|
|
737 H5Sclose (space_hid); |
|
|
738 H5Dclose (data_hid); |
|
|
739 |
|
|
740 data_hid = H5Dopen (group_hid, "data"); |
|
|
741 space_hid = H5Dget_space (data_hid); |
|
|
742 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
743 |
|
|
744 if (rank != 2) |
|
|
745 { |
|
|
746 H5Sclose (space_hid); |
|
|
747 H5Dclose (data_hid); |
|
|
748 H5Gclose (group_hid); |
|
|
749 return false; |
|
|
750 } |
|
|
751 |
|
|
752 H5Sget_simple_extent_dims (space_hid, hdims, maxdims); |
|
|
753 |
|
5322
|
754 if (static_cast<int> (hdims[0]) != nz || static_cast<int> (hdims[1]) != 1) |
|
5164
|
755 { |
|
|
756 H5Sclose (space_hid); |
|
|
757 H5Dclose (data_hid); |
|
|
758 H5Gclose (group_hid); |
|
|
759 return false; |
|
|
760 } |
|
|
761 |
|
|
762 double *dtmp = m.xdata (); |
|
|
763 if (H5Dread (data_hid, H5T_NATIVE_DOUBLE, H5S_ALL, H5S_ALL, |
|
5760
|
764 H5P_DEFAULT, dtmp) < 0) |
|
5164
|
765 { |
|
|
766 H5Sclose (space_hid); |
|
|
767 H5Dclose (data_hid); |
|
|
768 H5Gclose (group_hid); |
|
|
769 return false; |
|
|
770 } |
|
|
771 |
|
|
772 H5Sclose (space_hid); |
|
|
773 H5Dclose (data_hid); |
|
|
774 H5Gclose (group_hid); |
|
|
775 |
|
|
776 matrix = m; |
|
|
777 |
|
|
778 return true; |
|
|
779 } |
|
|
780 #endif |
|
|
781 |
|
|
782 /* |
|
|
783 ;;; Local Variables: *** |
|
|
784 ;;; mode: C++ *** |
|
|
785 ;;; End: *** |
|
|
786 */ |
