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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, 1999, 2000, 2001, 2002, 2003, 2004 Andy Adler |
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5 |
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6 This file is part of Octave. |
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7 |
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8 Octave is free software; you can redistribute it and/or modify it |
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9 under the terms of the GNU General Public License as published by the |
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10 Free Software Foundation; either version 3 of the License, or (at your |
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11 option) any later version. |
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12 |
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13 Octave is distributed in the hope that it will be useful, but WITHOUT |
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14 ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or |
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15 FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License |
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16 for more details. |
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17 |
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18 You should have received a copy of the GNU General Public License |
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19 along with Octave; see the file COPYING. If not, see |
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20 <http://www.gnu.org/licenses/>. |
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21 |
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22 */ |
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23 |
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24 #ifdef HAVE_CONFIG_H |
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25 #include <config.h> |
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26 #endif |
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27 |
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28 #include <climits> |
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29 |
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30 #include <iostream> |
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31 #include <vector> |
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32 |
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33 #include "ov-base.h" |
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34 #include "ov-scalar.h" |
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35 #include "gripes.h" |
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36 |
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37 #include "ls-hdf5.h" |
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38 |
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39 #include "ov-re-sparse.h" |
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40 |
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41 #include "ov-base-sparse.h" |
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42 #include "ov-base-sparse.cc" |
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43 |
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44 #include "ov-bool-sparse.h" |
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45 |
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46 template class OCTINTERP_API octave_base_sparse<SparseMatrix>; |
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47 |
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48 DEFINE_OCTAVE_ALLOCATOR (octave_sparse_matrix); |
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49 |
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50 DEFINE_OV_TYPEID_FUNCTIONS_AND_DATA (octave_sparse_matrix, "sparse matrix", "double"); |
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51 |
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52 idx_vector |
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53 octave_sparse_matrix::index_vector (void) const |
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54 { |
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55 if (matrix.numel () == matrix.nnz ()) |
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56 return idx_vector (array_value ()); |
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57 else |
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58 { |
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59 std::string nm = type_name (); |
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60 error ("%s type invalid as index value", nm.c_str ()); |
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61 return idx_vector (); |
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62 } |
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63 } |
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64 |
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65 octave_base_value * |
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66 octave_sparse_matrix::try_narrowing_conversion (void) |
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67 { |
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68 octave_base_value *retval = 0; |
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69 |
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70 // Don't use numel, since it can overflow for very large matrices |
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71 // Note that for the second test, this means it becomes approximative |
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72 // since it involves a cast to double to avoid issues of overflow |
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73 if (matrix.rows () == 1 && matrix.cols () == 1) |
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74 { |
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75 // Const copy of the matrix, so the right version of () operator used |
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76 const SparseMatrix tmp (matrix); |
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77 |
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78 retval = new octave_scalar (tmp (0)); |
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79 } |
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80 else if (matrix.cols () > 0 && matrix.rows () > 0 && |
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81 double (matrix.byte_size ()) > double (matrix.rows ()) * |
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82 double (matrix.cols ()) * sizeof (double)) |
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83 retval = new octave_matrix (matrix.matrix_value ()); |
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84 |
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85 return retval; |
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86 } |
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87 |
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88 bool |
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89 octave_sparse_matrix::valid_as_scalar_index (void) const |
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90 { |
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91 // FIXME |
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92 return false; |
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93 } |
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94 |
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95 double |
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96 octave_sparse_matrix::double_value (bool) const |
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97 { |
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98 double retval = lo_ieee_nan_value (); |
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99 |
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100 if (numel () > 0) |
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101 { |
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102 if (numel () > 1) |
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103 gripe_implicit_conversion ("Octave:array-as-scalar", |
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104 "real sparse matrix", "real scalar"); |
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105 |
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106 retval = matrix (0, 0); |
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107 } |
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108 else |
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109 gripe_invalid_conversion ("real sparse matrix", "real scalar"); |
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110 |
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111 return retval; |
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112 } |
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113 |
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114 Complex |
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115 octave_sparse_matrix::complex_value (bool) const |
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116 { |
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117 double tmp = lo_ieee_nan_value (); |
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118 |
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119 Complex retval (tmp, tmp); |
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120 |
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121 // FIXME -- maybe this should be a function, valid_as_scalar() |
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122 if (rows () > 0 && columns () > 0) |
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123 { |
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124 if (numel () > 1) |
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125 gripe_implicit_conversion ("Octave:array-as-scalar", |
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126 "real sparse matrix", "complex scalar"); |
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127 |
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128 retval = matrix (0, 0); |
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129 } |
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130 else |
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131 gripe_invalid_conversion ("real sparse matrix", "complex scalar"); |
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132 |
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133 return retval; |
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134 } |
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135 |
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136 Matrix |
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137 octave_sparse_matrix::matrix_value (bool) const |
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138 { |
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139 return matrix.matrix_value (); |
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140 } |
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141 |
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142 boolNDArray |
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143 octave_sparse_matrix::bool_array_value (bool warn) const |
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144 { |
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145 NDArray m = matrix.matrix_value (); |
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146 |
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147 if (warn && m.any_element_not_one_or_zero ()) |
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148 gripe_logical_conversion (); |
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149 |
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150 return boolNDArray (m); |
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151 } |
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152 |
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153 ComplexMatrix |
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154 octave_sparse_matrix::complex_matrix_value (bool) const |
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155 { |
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156 return ComplexMatrix (matrix.matrix_value ()); |
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157 } |
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158 |
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159 ComplexNDArray |
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160 octave_sparse_matrix::complex_array_value (bool) const |
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161 { |
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162 return ComplexNDArray (ComplexMatrix (matrix.matrix_value ())); |
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163 } |
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164 |
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165 NDArray |
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166 octave_sparse_matrix::array_value (bool) const |
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167 { |
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168 return NDArray (matrix.matrix_value ()); |
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169 } |
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170 |
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171 streamoff_array |
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172 octave_sparse_matrix::streamoff_array_value (void) const |
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173 { |
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174 streamoff_array retval (dims ()); |
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175 octave_idx_type nc = matrix.cols (); |
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176 octave_idx_type nr = matrix.rows (); |
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177 |
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178 for (octave_idx_type j = 0; j < nc; j++) |
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179 for (octave_idx_type i = matrix.cidx(j); i < matrix.cidx(j+1); i++) |
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180 { |
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181 double d = matrix.data(i); |
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182 |
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183 if (D_NINT (d) == d) |
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184 { |
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185 retval(matrix.ridx(i) + nr * j) = |
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186 std::streamoff (static_cast<long> (d)); |
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187 } |
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188 else |
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189 { |
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190 error ("conversion to streamoff_array value failed"); |
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191 break; |
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192 } |
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193 } |
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194 |
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195 return retval; |
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196 } |
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197 |
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198 octave_value |
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199 octave_sparse_matrix::convert_to_str_internal (bool, bool, char type) const |
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200 { |
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201 octave_value retval; |
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202 dim_vector dv = dims (); |
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203 octave_idx_type nel = dv.numel (); |
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204 |
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205 if (nel == 0) |
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206 { |
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207 char s = '\0'; |
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208 retval = octave_value (&s, type); |
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209 } |
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210 else |
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211 { |
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212 octave_idx_type nr = matrix.rows (); |
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213 octave_idx_type nc = matrix.cols (); |
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214 charNDArray chm (dv, static_cast<char> (0)); |
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215 |
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216 bool warned = false; |
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217 |
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218 for (octave_idx_type j = 0; j < nc; j++) |
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219 for (octave_idx_type i = matrix.cidx(j); |
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220 i < matrix.cidx(j+1); i++) |
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221 { |
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222 OCTAVE_QUIT; |
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223 |
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224 double d = matrix.data (i); |
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225 |
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226 if (xisnan (d)) |
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227 { |
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228 ::error ("invalid conversion from NaN to character"); |
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229 return retval; |
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230 } |
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231 else |
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232 { |
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233 int ival = NINT (d); |
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234 |
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235 if (ival < 0 || ival > UCHAR_MAX) |
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236 { |
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237 // FIXME -- is there something |
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238 // better we could do? |
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239 |
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240 ival = 0; |
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241 |
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242 if (! warned) |
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243 { |
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244 ::warning ("range error for conversion to character value"); |
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245 warned = true; |
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246 } |
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247 } |
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248 |
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249 chm (matrix.ridx(i) + j * nr) = |
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250 static_cast<char> (ival); |
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251 } |
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252 } |
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253 retval = octave_value (chm, true, type); |
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254 } |
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255 |
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256 return retval; |
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257 } |
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258 |
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259 bool |
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260 octave_sparse_matrix::save_binary (std::ostream& os, bool&save_as_floats) |
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261 { |
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262 dim_vector d = this->dims (); |
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263 if (d.length() < 1) |
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264 return false; |
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265 |
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266 // Ensure that additional memory is deallocated |
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267 matrix.maybe_compress (); |
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268 |
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269 int nr = d(0); |
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270 int nc = d(1); |
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271 int nz = nzmax (); |
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272 |
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273 int32_t itmp; |
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274 // Use negative value for ndims to be consistent with other formats |
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275 itmp= -2; |
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276 os.write (reinterpret_cast<char *> (&itmp), 4); |
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277 |
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278 itmp= nr; |
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279 os.write (reinterpret_cast<char *> (&itmp), 4); |
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280 |
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281 itmp= nc; |
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282 os.write (reinterpret_cast<char *> (&itmp), 4); |
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283 |
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284 itmp= nz; |
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285 os.write (reinterpret_cast<char *> (&itmp), 4); |
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286 |
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287 save_type st = LS_DOUBLE; |
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288 if (save_as_floats) |
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289 { |
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290 if (matrix.too_large_for_float ()) |
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291 { |
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292 warning ("save: some values too large to save as floats --"); |
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293 warning ("save: saving as doubles instead"); |
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294 } |
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295 else |
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296 st = LS_FLOAT; |
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297 } |
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298 else if (matrix.nzmax () > 8192) // FIXME -- make this configurable. |
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299 { |
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300 double max_val, min_val; |
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301 if (matrix.all_integers (max_val, min_val)) |
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302 st = get_save_type (max_val, min_val); |
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303 } |
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304 |
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305 // add one to the printed indices to go from |
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306 // zero-based to one-based arrays |
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307 for (int i = 0; i < nc+1; i++) |
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308 { |
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309 OCTAVE_QUIT; |
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310 itmp = matrix.cidx(i); |
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311 os.write (reinterpret_cast<char *> (&itmp), 4); |
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312 } |
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313 |
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314 for (int i = 0; i < nz; i++) |
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315 { |
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316 OCTAVE_QUIT; |
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317 itmp = matrix.ridx(i); |
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318 os.write (reinterpret_cast<char *> (&itmp), 4); |
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319 } |
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320 |
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321 write_doubles (os, matrix.data(), st, nz); |
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322 |
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323 return true; |
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324 } |
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325 |
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326 bool |
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327 octave_sparse_matrix::load_binary (std::istream& is, bool swap, |
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328 oct_mach_info::float_format fmt) |
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329 { |
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330 int32_t nz, nc, nr, tmp; |
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331 char ctmp; |
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332 |
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333 if (! is.read (reinterpret_cast<char *> (&tmp), 4)) |
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334 return false; |
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335 |
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336 if (swap) |
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337 swap_bytes<4> (&tmp); |
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338 |
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339 if (tmp != -2) { |
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340 error("load: only 2D sparse matrices are supported"); |
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341 return false; |
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342 } |
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343 |
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344 if (! is.read (reinterpret_cast<char *> (&nr), 4)) |
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345 return false; |
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346 if (! is.read (reinterpret_cast<char *> (&nc), 4)) |
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347 return false; |
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348 if (! is.read (reinterpret_cast<char *> (&nz), 4)) |
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349 return false; |
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350 |
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351 if (swap) |
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352 { |
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353 swap_bytes<4> (&nr); |
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354 swap_bytes<4> (&nc); |
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355 swap_bytes<4> (&nz); |
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356 } |
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357 |
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358 SparseMatrix m (static_cast<octave_idx_type> (nr), |
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359 static_cast<octave_idx_type> (nc), |
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360 static_cast<octave_idx_type> (nz)); |
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361 |
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362 for (int i = 0; i < nc+1; i++) |
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363 { |
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364 OCTAVE_QUIT; |
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365 if (! is.read (reinterpret_cast<char *> (&tmp), 4)) |
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366 return false; |
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367 if (swap) |
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368 swap_bytes<4> (&tmp); |
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369 m.xcidx(i) = tmp; |
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370 } |
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371 |
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372 for (int i = 0; i < nz; i++) |
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373 { |
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374 OCTAVE_QUIT; |
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375 if (! is.read (reinterpret_cast<char *> (&tmp), 4)) |
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376 return false; |
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377 if (swap) |
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378 swap_bytes<4> (&tmp); |
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379 m.xridx(i) = tmp; |
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380 } |
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381 |
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382 if (! is.read (reinterpret_cast<char *> (&ctmp), 1)) |
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383 return false; |
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384 |
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385 read_doubles (is, m.xdata (), static_cast<save_type> (ctmp), nz, swap, fmt); |
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386 |
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387 if (error_state || ! is) |
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388 return false; |
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389 matrix = m; |
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390 |
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391 return true; |
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392 } |
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393 |
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394 #if defined (HAVE_HDF5) |
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395 |
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396 bool |
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397 octave_sparse_matrix::save_hdf5 (hid_t loc_id, const char *name, |
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398 bool save_as_floats) |
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399 { |
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400 dim_vector dv = dims (); |
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401 int empty = save_hdf5_empty (loc_id, name, dv); |
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402 if (empty) |
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403 return (empty > 0); |
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404 |
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405 // Ensure that additional memory is deallocated |
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406 matrix.maybe_compress (); |
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407 |
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408 hid_t group_hid = H5Gcreate (loc_id, name, 0); |
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409 if (group_hid < 0) |
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410 return false; |
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411 |
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412 hid_t space_hid = -1, data_hid = -1; |
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413 bool retval = true; |
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414 SparseMatrix m = sparse_matrix_value (); |
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415 octave_idx_type tmp; |
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416 hsize_t hdims[2]; |
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417 |
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418 space_hid = H5Screate_simple (0, hdims, 0); |
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419 if (space_hid < 0) |
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420 { |
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421 H5Gclose (group_hid); |
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422 return false; |
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423 } |
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424 |
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425 data_hid = H5Dcreate (group_hid, "nr", H5T_NATIVE_IDX, space_hid, |
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426 H5P_DEFAULT); |
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427 if (data_hid < 0) |
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428 { |
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429 H5Sclose (space_hid); |
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430 H5Gclose (group_hid); |
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431 return false; |
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432 } |
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433 |
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434 tmp = m.rows (); |
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5351
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435 retval = H5Dwrite (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
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5760
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436 &tmp) >= 0; |
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437 H5Dclose (data_hid); |
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438 if (!retval) |
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439 { |
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440 H5Sclose (space_hid); |
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441 H5Gclose (group_hid); |
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442 return false; |
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443 } |
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444 |
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5351
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445 data_hid = H5Dcreate (group_hid, "nc", H5T_NATIVE_IDX, space_hid, |
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446 H5P_DEFAULT); |
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447 if (data_hid < 0) |
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448 { |
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449 H5Sclose (space_hid); |
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450 H5Gclose (group_hid); |
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451 return false; |
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452 } |
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453 |
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454 tmp = m.cols (); |
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5351
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455 retval = H5Dwrite (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
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5760
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456 &tmp) >= 0; |
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5164
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457 H5Dclose (data_hid); |
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458 if (!retval) |
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459 { |
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460 H5Sclose (space_hid); |
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461 H5Gclose (group_hid); |
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462 return false; |
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463 } |
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464 |
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5351
|
465 data_hid = H5Dcreate (group_hid, "nz", H5T_NATIVE_IDX, space_hid, |
|
5164
|
466 H5P_DEFAULT); |
|
|
467 if (data_hid < 0) |
|
|
468 { |
|
|
469 H5Sclose (space_hid); |
|
|
470 H5Gclose (group_hid); |
|
|
471 return false; |
|
|
472 } |
|
|
473 |
|
5604
|
474 tmp = m.nzmax (); |
|
5351
|
475 retval = H5Dwrite (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
|
5760
|
476 &tmp) >= 0; |
|
5164
|
477 H5Dclose (data_hid); |
|
|
478 if (!retval) |
|
|
479 { |
|
|
480 H5Sclose (space_hid); |
|
|
481 H5Gclose (group_hid); |
|
|
482 return false; |
|
|
483 } |
|
|
484 |
|
|
485 H5Sclose (space_hid); |
|
|
486 |
|
|
487 hdims[0] = m.cols() + 1; |
|
|
488 hdims[1] = 1; |
|
|
489 |
|
|
490 space_hid = H5Screate_simple (2, hdims, 0); |
|
|
491 |
|
|
492 if (space_hid < 0) |
|
|
493 { |
|
|
494 H5Gclose (group_hid); |
|
|
495 return false; |
|
|
496 } |
|
|
497 |
|
5351
|
498 data_hid = H5Dcreate (group_hid, "cidx", H5T_NATIVE_IDX, space_hid, |
|
5164
|
499 H5P_DEFAULT); |
|
|
500 if (data_hid < 0) |
|
|
501 { |
|
|
502 H5Sclose (space_hid); |
|
|
503 H5Gclose (group_hid); |
|
|
504 return false; |
|
|
505 } |
|
|
506 |
|
5351
|
507 octave_idx_type * itmp = m.xcidx (); |
|
|
508 retval = H5Dwrite (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
|
5760
|
509 itmp) >= 0; |
|
5164
|
510 H5Dclose (data_hid); |
|
|
511 if (!retval) |
|
|
512 { |
|
|
513 H5Sclose (space_hid); |
|
|
514 H5Gclose (group_hid); |
|
|
515 return false; |
|
|
516 } |
|
|
517 |
|
|
518 H5Sclose (space_hid); |
|
|
519 |
|
5604
|
520 hdims[0] = m.nzmax (); |
|
5164
|
521 hdims[1] = 1; |
|
|
522 |
|
|
523 space_hid = H5Screate_simple (2, hdims, 0); |
|
|
524 |
|
|
525 if (space_hid < 0) |
|
|
526 { |
|
|
527 H5Gclose (group_hid); |
|
|
528 return false; |
|
|
529 } |
|
|
530 |
|
5351
|
531 data_hid = H5Dcreate (group_hid, "ridx", H5T_NATIVE_IDX, space_hid, |
|
5164
|
532 H5P_DEFAULT); |
|
|
533 if (data_hid < 0) |
|
|
534 { |
|
|
535 H5Sclose (space_hid); |
|
|
536 H5Gclose (group_hid); |
|
|
537 return false; |
|
|
538 } |
|
|
539 |
|
|
540 itmp = m.xridx (); |
|
5351
|
541 retval = H5Dwrite (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
|
5760
|
542 itmp) >= 0; |
|
5164
|
543 H5Dclose (data_hid); |
|
|
544 if (!retval) |
|
|
545 { |
|
|
546 H5Sclose (space_hid); |
|
|
547 H5Gclose (group_hid); |
|
|
548 return false; |
|
|
549 } |
|
|
550 |
|
|
551 hid_t save_type_hid = H5T_NATIVE_DOUBLE; |
|
|
552 |
|
|
553 if (save_as_floats) |
|
|
554 { |
|
|
555 if (m.too_large_for_float ()) |
|
|
556 { |
|
|
557 warning ("save: some values too large to save as floats --"); |
|
|
558 warning ("save: saving as doubles instead"); |
|
|
559 } |
|
|
560 else |
|
|
561 save_type_hid = H5T_NATIVE_FLOAT; |
|
|
562 } |
|
|
563 #if HAVE_HDF5_INT2FLOAT_CONVERSIONS |
|
|
564 // hdf5 currently doesn't support float/integer conversions |
|
|
565 else |
|
|
566 { |
|
|
567 double max_val, min_val; |
|
|
568 |
|
|
569 if (m.all_integers (max_val, min_val)) |
|
|
570 save_type_hid |
|
|
571 = save_type_to_hdf5 (get_save_type (max_val, min_val)); |
|
|
572 } |
|
|
573 #endif /* HAVE_HDF5_INT2FLOAT_CONVERSIONS */ |
|
|
574 |
|
|
575 data_hid = H5Dcreate (group_hid, "data", save_type_hid, space_hid, |
|
|
576 H5P_DEFAULT); |
|
|
577 if (data_hid < 0) |
|
|
578 { |
|
|
579 H5Sclose (space_hid); |
|
|
580 H5Gclose (group_hid); |
|
|
581 return false; |
|
|
582 } |
|
|
583 |
|
|
584 double * dtmp = m.xdata (); |
|
|
585 retval = H5Dwrite (data_hid, H5T_NATIVE_DOUBLE, H5S_ALL, H5S_ALL, |
|
5760
|
586 H5P_DEFAULT, dtmp) >= 0; |
|
5164
|
587 H5Dclose (data_hid); |
|
|
588 H5Sclose (space_hid); |
|
|
589 H5Gclose (group_hid); |
|
|
590 |
|
|
591 return retval; |
|
|
592 } |
|
|
593 |
|
|
594 bool |
|
|
595 octave_sparse_matrix::load_hdf5 (hid_t loc_id, const char *name, |
|
5760
|
596 bool /* have_h5giterate_bug */) |
|
5164
|
597 { |
|
5351
|
598 octave_idx_type nr, nc, nz; |
|
5164
|
599 hid_t group_hid, data_hid, space_hid; |
|
|
600 hsize_t rank; |
|
|
601 |
|
|
602 dim_vector dv; |
|
|
603 int empty = load_hdf5_empty (loc_id, name, dv); |
|
|
604 if (empty > 0) |
|
|
605 matrix.resize(dv); |
|
|
606 if (empty) |
|
|
607 return (empty > 0); |
|
|
608 |
|
|
609 group_hid = H5Gopen (loc_id, name); |
|
5760
|
610 if (group_hid < 0) return false; |
|
5164
|
611 |
|
|
612 data_hid = H5Dopen (group_hid, "nr"); |
|
|
613 space_hid = H5Dget_space (data_hid); |
|
|
614 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
615 |
|
|
616 if (rank != 0) |
|
|
617 { |
|
|
618 H5Dclose (data_hid); |
|
|
619 H5Gclose (group_hid); |
|
|
620 return false; |
|
|
621 } |
|
|
622 |
|
5351
|
623 if (H5Dread (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, |
|
5760
|
624 H5P_DEFAULT, &nr) < 0) |
|
5164
|
625 { |
|
|
626 H5Dclose (data_hid); |
|
|
627 H5Gclose (group_hid); |
|
|
628 return false; |
|
|
629 } |
|
|
630 |
|
|
631 H5Dclose (data_hid); |
|
|
632 |
|
|
633 data_hid = H5Dopen (group_hid, "nc"); |
|
|
634 space_hid = H5Dget_space (data_hid); |
|
|
635 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
636 |
|
|
637 if (rank != 0) |
|
|
638 { |
|
|
639 H5Dclose (data_hid); |
|
|
640 H5Gclose (group_hid); |
|
|
641 return false; |
|
|
642 } |
|
|
643 |
|
5351
|
644 if (H5Dread (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, |
|
5760
|
645 H5P_DEFAULT, &nc) < 0) |
|
5164
|
646 { |
|
|
647 H5Dclose (data_hid); |
|
|
648 H5Gclose (group_hid); |
|
|
649 return false; |
|
|
650 } |
|
|
651 |
|
|
652 H5Dclose (data_hid); |
|
|
653 |
|
|
654 data_hid = H5Dopen (group_hid, "nz"); |
|
|
655 space_hid = H5Dget_space (data_hid); |
|
|
656 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
657 |
|
|
658 if (rank != 0) |
|
|
659 { |
|
|
660 H5Dclose (data_hid); |
|
|
661 H5Gclose (group_hid); |
|
|
662 return false; |
|
|
663 } |
|
|
664 |
|
5351
|
665 if (H5Dread (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, |
|
5760
|
666 H5P_DEFAULT, &nz) < 0) |
|
5164
|
667 { |
|
|
668 H5Dclose (data_hid); |
|
|
669 H5Gclose (group_hid); |
|
|
670 return false; |
|
|
671 } |
|
|
672 |
|
|
673 H5Dclose (data_hid); |
|
|
674 |
|
5275
|
675 SparseMatrix m (static_cast<octave_idx_type> (nr), |
|
|
676 static_cast<octave_idx_type> (nc), |
|
|
677 static_cast<octave_idx_type> (nz)); |
|
5164
|
678 |
|
|
679 data_hid = H5Dopen (group_hid, "cidx"); |
|
|
680 space_hid = H5Dget_space (data_hid); |
|
|
681 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
682 |
|
|
683 if (rank != 2) |
|
|
684 { |
|
|
685 H5Sclose (space_hid); |
|
|
686 H5Dclose (data_hid); |
|
|
687 H5Gclose (group_hid); |
|
|
688 return false; |
|
|
689 } |
|
|
690 |
|
|
691 OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank); |
|
|
692 OCTAVE_LOCAL_BUFFER (hsize_t, maxdims, rank); |
|
|
693 |
|
|
694 H5Sget_simple_extent_dims (space_hid, hdims, maxdims); |
|
|
695 |
|
5322
|
696 if (static_cast<int> (hdims[0]) != nc + 1 || |
|
|
697 static_cast<int> (hdims[1]) != 1) |
|
5164
|
698 { |
|
|
699 H5Sclose (space_hid); |
|
|
700 H5Dclose (data_hid); |
|
|
701 H5Gclose (group_hid); |
|
|
702 return false; |
|
|
703 } |
|
|
704 |
|
5351
|
705 octave_idx_type *itmp = m.xcidx (); |
|
|
706 if (H5Dread (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, |
|
5760
|
707 H5P_DEFAULT, itmp) < 0) |
|
5164
|
708 { |
|
|
709 H5Sclose (space_hid); |
|
|
710 H5Dclose (data_hid); |
|
|
711 H5Gclose (group_hid); |
|
|
712 return false; |
|
|
713 } |
|
|
714 |
|
|
715 H5Sclose (space_hid); |
|
|
716 H5Dclose (data_hid); |
|
|
717 |
|
|
718 data_hid = H5Dopen (group_hid, "ridx"); |
|
|
719 space_hid = H5Dget_space (data_hid); |
|
|
720 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
721 |
|
|
722 if (rank != 2) |
|
|
723 { |
|
|
724 H5Sclose (space_hid); |
|
|
725 H5Dclose (data_hid); |
|
|
726 H5Gclose (group_hid); |
|
|
727 return false; |
|
|
728 } |
|
|
729 |
|
|
730 H5Sget_simple_extent_dims (space_hid, hdims, maxdims); |
|
|
731 |
|
5322
|
732 if (static_cast<int> (hdims[0]) != nz || static_cast<int> (hdims[1]) != 1) |
|
5164
|
733 { |
|
|
734 H5Sclose (space_hid); |
|
|
735 H5Dclose (data_hid); |
|
|
736 H5Gclose (group_hid); |
|
|
737 return false; |
|
|
738 } |
|
|
739 |
|
|
740 itmp = m.xridx (); |
|
5351
|
741 if (H5Dread (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, |
|
5760
|
742 H5P_DEFAULT, itmp) < 0) |
|
5164
|
743 { |
|
|
744 H5Sclose (space_hid); |
|
|
745 H5Dclose (data_hid); |
|
|
746 H5Gclose (group_hid); |
|
|
747 return false; |
|
|
748 } |
|
|
749 |
|
|
750 H5Sclose (space_hid); |
|
|
751 H5Dclose (data_hid); |
|
|
752 |
|
|
753 data_hid = H5Dopen (group_hid, "data"); |
|
|
754 space_hid = H5Dget_space (data_hid); |
|
|
755 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
756 |
|
|
757 if (rank != 2) |
|
|
758 { |
|
|
759 H5Sclose (space_hid); |
|
|
760 H5Dclose (data_hid); |
|
|
761 H5Gclose (group_hid); |
|
|
762 return false; |
|
|
763 } |
|
|
764 |
|
|
765 H5Sget_simple_extent_dims (space_hid, hdims, maxdims); |
|
|
766 |
|
5322
|
767 if (static_cast<int> (hdims[0]) != nz || static_cast<int> (hdims[1]) != 1) |
|
5164
|
768 { |
|
|
769 H5Sclose (space_hid); |
|
|
770 H5Dclose (data_hid); |
|
|
771 H5Gclose (group_hid); |
|
|
772 return false; |
|
|
773 } |
|
|
774 |
|
|
775 double *dtmp = m.xdata (); |
|
|
776 if (H5Dread (data_hid, H5T_NATIVE_DOUBLE, H5S_ALL, H5S_ALL, |
|
5760
|
777 H5P_DEFAULT, dtmp) < 0) |
|
5164
|
778 { |
|
|
779 H5Sclose (space_hid); |
|
|
780 H5Dclose (data_hid); |
|
|
781 H5Gclose (group_hid); |
|
|
782 return false; |
|
|
783 } |
|
|
784 |
|
|
785 H5Sclose (space_hid); |
|
|
786 H5Dclose (data_hid); |
|
|
787 H5Gclose (group_hid); |
|
|
788 |
|
|
789 matrix = m; |
|
|
790 |
|
|
791 return true; |
|
|
792 } |
|
5900
|
793 |
|
5164
|
794 #endif |
|
|
795 |
|
5900
|
796 mxArray * |
|
|
797 octave_sparse_matrix::as_mxArray (void) const |
|
|
798 { |
|
6686
|
799 mwSize nz = nzmax(); |
|
|
800 mwSize nr = rows(); |
|
|
801 mwSize nc = columns(); |
|
5903
|
802 mxArray *retval = new mxArray (mxDOUBLE_CLASS, nr, nc, nz, mxREAL); |
|
|
803 double *pr = static_cast<double *> (retval->get_data ()); |
|
6686
|
804 mwIndex *ir = retval->get_ir(); |
|
|
805 mwIndex *jc = retval->get_jc(); |
|
5903
|
806 |
|
6686
|
807 for (mwIndex i = 0; i < nz; i++) |
|
5903
|
808 { |
|
|
809 pr[i] = matrix.data(i); |
|
|
810 ir[i] = matrix.ridx(i); |
|
|
811 } |
|
|
812 |
|
6686
|
813 for (mwIndex i = 0; i < nc + 1; i++) |
|
5903
|
814 jc[i] = matrix.cidx(i); |
|
|
815 |
|
|
816 return retval; |
|
5900
|
817 } |
|
|
818 |
|
5164
|
819 /* |
|
|
820 ;;; Local Variables: *** |
|
|
821 ;;; mode: C++ *** |
|
|
822 ;;; End: *** |
|
|
823 */ |
