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1 /* |
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2 |
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3 Copyright (C) 2004, 2005, 2006, 2007 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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6109
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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 if (Vsparse_auto_mutate) |
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71 { |
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72 // Don't use numel, since it can overflow for very large matrices |
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73 // Note that for the second test, this means it becomes approximative |
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74 // since it involves a cast to double to avoid issues of overflow |
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75 if (matrix.rows () == 1 && matrix.cols () == 1) |
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76 { |
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77 // Const copy of the matrix, so the right version of () operator used |
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78 const SparseMatrix tmp (matrix); |
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79 |
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80 retval = new octave_scalar (tmp (0)); |
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81 } |
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82 else if (matrix.cols () > 0 && matrix.rows () > 0 && |
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83 double (matrix.byte_size ()) > double (matrix.rows ()) * |
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84 double (matrix.cols ()) * sizeof (double)) |
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85 retval = new octave_matrix (matrix.matrix_value ()); |
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86 } |
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87 |
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88 return retval; |
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89 } |
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90 |
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91 bool |
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92 octave_sparse_matrix::valid_as_scalar_index (void) const |
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93 { |
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94 // FIXME |
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95 return false; |
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96 } |
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97 |
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98 double |
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99 octave_sparse_matrix::double_value (bool) const |
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100 { |
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101 double retval = lo_ieee_nan_value (); |
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102 |
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103 if (numel () > 0) |
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104 { |
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105 if (numel () > 1) |
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106 gripe_implicit_conversion ("Octave:array-as-scalar", |
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107 "real sparse matrix", "real scalar"); |
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108 |
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109 retval = matrix (0, 0); |
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110 } |
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111 else |
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112 gripe_invalid_conversion ("real sparse matrix", "real scalar"); |
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113 |
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114 return retval; |
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115 } |
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116 |
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117 Complex |
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118 octave_sparse_matrix::complex_value (bool) const |
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119 { |
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120 double tmp = lo_ieee_nan_value (); |
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121 |
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122 Complex retval (tmp, tmp); |
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123 |
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124 // FIXME -- maybe this should be a function, valid_as_scalar() |
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125 if (rows () > 0 && columns () > 0) |
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126 { |
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127 if (numel () > 1) |
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128 gripe_implicit_conversion ("Octave:array-as-scalar", |
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129 "real sparse matrix", "complex scalar"); |
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130 |
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131 retval = matrix (0, 0); |
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132 } |
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133 else |
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134 gripe_invalid_conversion ("real sparse matrix", "complex scalar"); |
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135 |
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136 return retval; |
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137 } |
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138 |
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139 Matrix |
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140 octave_sparse_matrix::matrix_value (bool) const |
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141 { |
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142 return matrix.matrix_value (); |
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143 } |
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144 |
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145 boolNDArray |
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146 octave_sparse_matrix::bool_array_value (bool warn) const |
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147 { |
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148 NDArray m = matrix.matrix_value (); |
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149 |
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150 if (warn && m.any_element_not_one_or_zero ()) |
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151 gripe_logical_conversion (); |
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152 |
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153 return boolNDArray (m); |
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154 } |
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155 |
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156 ComplexMatrix |
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157 octave_sparse_matrix::complex_matrix_value (bool) const |
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158 { |
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159 return ComplexMatrix (matrix.matrix_value ()); |
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160 } |
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161 |
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162 ComplexNDArray |
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163 octave_sparse_matrix::complex_array_value (bool) const |
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164 { |
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165 return ComplexNDArray (ComplexMatrix (matrix.matrix_value ())); |
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166 } |
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167 |
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168 NDArray |
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169 octave_sparse_matrix::array_value (bool) const |
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170 { |
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171 return NDArray (matrix.matrix_value ()); |
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172 } |
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173 |
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174 streamoff_array |
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175 octave_sparse_matrix::streamoff_array_value (void) const |
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176 { |
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177 streamoff_array retval (dims ()); |
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178 octave_idx_type nc = matrix.cols (); |
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179 octave_idx_type nr = matrix.rows (); |
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180 |
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181 for (octave_idx_type j = 0; j < nc; j++) |
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182 for (octave_idx_type i = matrix.cidx(j); i < matrix.cidx(j+1); i++) |
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183 { |
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184 double d = matrix.data(i); |
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185 |
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186 if (D_NINT (d) == d) |
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187 { |
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188 retval(matrix.ridx(i) + nr * j) = |
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189 std::streamoff (static_cast<long> (d)); |
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190 } |
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191 else |
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192 { |
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193 error ("conversion to streamoff_array value failed"); |
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194 break; |
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195 } |
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196 } |
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197 |
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198 return retval; |
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199 } |
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200 |
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201 octave_value |
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202 octave_sparse_matrix::convert_to_str_internal (bool, bool, char type) const |
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203 { |
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204 octave_value retval; |
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205 dim_vector dv = dims (); |
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206 octave_idx_type nel = dv.numel (); |
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207 |
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208 if (nel == 0) |
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209 { |
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210 char s = '\0'; |
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211 retval = octave_value (&s, type); |
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212 } |
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213 else |
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214 { |
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215 octave_idx_type nr = matrix.rows (); |
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216 octave_idx_type nc = matrix.cols (); |
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217 charNDArray chm (dv, static_cast<char> (0)); |
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218 |
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219 bool warned = false; |
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220 |
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221 for (octave_idx_type j = 0; j < nc; j++) |
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222 for (octave_idx_type i = matrix.cidx(j); |
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223 i < matrix.cidx(j+1); i++) |
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224 { |
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225 OCTAVE_QUIT; |
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226 |
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227 double d = matrix.data (i); |
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228 |
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229 if (xisnan (d)) |
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230 { |
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231 ::error ("invalid conversion from NaN to character"); |
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232 return retval; |
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233 } |
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234 else |
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235 { |
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236 int ival = NINT (d); |
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237 |
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238 if (ival < 0 || ival > UCHAR_MAX) |
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239 { |
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240 // FIXME -- is there something |
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241 // better we could do? |
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242 |
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243 ival = 0; |
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244 |
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245 if (! warned) |
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246 { |
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247 ::warning ("range error for conversion to character value"); |
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248 warned = true; |
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249 } |
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250 } |
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251 |
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252 chm (matrix.ridx(i) + j * nr) = |
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253 static_cast<char> (ival); |
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254 } |
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255 } |
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256 retval = octave_value (chm, true, type); |
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257 } |
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258 |
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259 return retval; |
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260 } |
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261 |
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262 bool |
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263 octave_sparse_matrix::save_binary (std::ostream& os, bool&save_as_floats) |
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264 { |
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265 dim_vector d = this->dims (); |
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266 if (d.length() < 1) |
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267 return false; |
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268 |
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269 // Ensure that additional memory is deallocated |
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270 matrix.maybe_compress (); |
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271 |
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272 int nr = d(0); |
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273 int nc = d(1); |
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274 int nz = nzmax (); |
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275 |
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276 int32_t itmp; |
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277 // Use negative value for ndims to be consistent with other formats |
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278 itmp= -2; |
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279 os.write (reinterpret_cast<char *> (&itmp), 4); |
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280 |
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281 itmp= nr; |
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282 os.write (reinterpret_cast<char *> (&itmp), 4); |
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283 |
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284 itmp= nc; |
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285 os.write (reinterpret_cast<char *> (&itmp), 4); |
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286 |
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287 itmp= nz; |
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288 os.write (reinterpret_cast<char *> (&itmp), 4); |
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289 |
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290 save_type st = LS_DOUBLE; |
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291 if (save_as_floats) |
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292 { |
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293 if (matrix.too_large_for_float ()) |
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294 { |
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295 warning ("save: some values too large to save as floats --"); |
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296 warning ("save: saving as doubles instead"); |
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297 } |
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298 else |
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299 st = LS_FLOAT; |
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300 } |
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301 else if (matrix.nzmax () > 8192) // FIXME -- make this configurable. |
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302 { |
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303 double max_val, min_val; |
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304 if (matrix.all_integers (max_val, min_val)) |
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305 st = get_save_type (max_val, min_val); |
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306 } |
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307 |
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308 // add one to the printed indices to go from |
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309 // zero-based to one-based arrays |
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310 for (int i = 0; i < nc+1; i++) |
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311 { |
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312 OCTAVE_QUIT; |
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313 itmp = matrix.cidx(i); |
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314 os.write (reinterpret_cast<char *> (&itmp), 4); |
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315 } |
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316 |
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317 for (int i = 0; i < nz; i++) |
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318 { |
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319 OCTAVE_QUIT; |
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320 itmp = matrix.ridx(i); |
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321 os.write (reinterpret_cast<char *> (&itmp), 4); |
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322 } |
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323 |
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324 write_doubles (os, matrix.data(), st, nz); |
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325 |
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326 return true; |
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327 } |
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328 |
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329 bool |
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330 octave_sparse_matrix::load_binary (std::istream& is, bool swap, |
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331 oct_mach_info::float_format fmt) |
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332 { |
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333 int32_t nz, nc, nr, tmp; |
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334 char ctmp; |
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335 |
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336 if (! is.read (reinterpret_cast<char *> (&tmp), 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 swap_bytes<4> (&tmp); |
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341 |
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342 if (tmp != -2) { |
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343 error("load: only 2D sparse matrices are supported"); |
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344 return false; |
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345 } |
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346 |
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347 if (! is.read (reinterpret_cast<char *> (&nr), 4)) |
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348 return false; |
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5760
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349 if (! is.read (reinterpret_cast<char *> (&nc), 4)) |
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350 return false; |
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351 if (! is.read (reinterpret_cast<char *> (&nz), 4)) |
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352 return false; |
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353 |
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354 if (swap) |
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355 { |
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356 swap_bytes<4> (&nr); |
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357 swap_bytes<4> (&nc); |
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358 swap_bytes<4> (&nz); |
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359 } |
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360 |
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361 SparseMatrix m (static_cast<octave_idx_type> (nr), |
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362 static_cast<octave_idx_type> (nc), |
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363 static_cast<octave_idx_type> (nz)); |
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364 |
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365 for (int i = 0; i < nc+1; i++) |
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366 { |
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367 OCTAVE_QUIT; |
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368 if (! is.read (reinterpret_cast<char *> (&tmp), 4)) |
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369 return false; |
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370 if (swap) |
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371 swap_bytes<4> (&tmp); |
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372 m.xcidx(i) = tmp; |
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373 } |
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374 |
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375 for (int i = 0; i < nz; i++) |
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376 { |
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377 OCTAVE_QUIT; |
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378 if (! is.read (reinterpret_cast<char *> (&tmp), 4)) |
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379 return false; |
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380 if (swap) |
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381 swap_bytes<4> (&tmp); |
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382 m.xridx(i) = tmp; |
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383 } |
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384 |
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5760
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385 if (! is.read (reinterpret_cast<char *> (&ctmp), 1)) |
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386 return false; |
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387 |
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5760
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388 read_doubles (is, m.xdata (), static_cast<save_type> (ctmp), nz, swap, fmt); |
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389 |
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390 if (error_state || ! is) |
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391 return false; |
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392 matrix = m; |
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393 |
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394 return true; |
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395 } |
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396 |
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397 #if defined (HAVE_HDF5) |
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5900
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398 |
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399 bool |
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400 octave_sparse_matrix::save_hdf5 (hid_t loc_id, const char *name, |
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401 bool save_as_floats) |
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402 { |
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403 dim_vector dv = dims (); |
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404 int empty = save_hdf5_empty (loc_id, name, dv); |
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405 if (empty) |
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406 return (empty > 0); |
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407 |
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408 // Ensure that additional memory is deallocated |
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409 matrix.maybe_compress (); |
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410 |
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411 hid_t group_hid = H5Gcreate (loc_id, name, 0); |
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412 if (group_hid < 0) |
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413 return false; |
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414 |
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415 hid_t space_hid = -1, data_hid = -1; |
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416 bool retval = true; |
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417 SparseMatrix m = sparse_matrix_value (); |
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5351
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418 octave_idx_type tmp; |
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419 hsize_t hdims[2]; |
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420 |
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5760
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421 space_hid = H5Screate_simple (0, hdims, 0); |
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422 if (space_hid < 0) |
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423 { |
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424 H5Gclose (group_hid); |
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425 return false; |
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426 } |
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427 |
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5351
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428 data_hid = H5Dcreate (group_hid, "nr", H5T_NATIVE_IDX, space_hid, |
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5164
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429 H5P_DEFAULT); |
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430 if (data_hid < 0) |
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431 { |
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432 H5Sclose (space_hid); |
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433 H5Gclose (group_hid); |
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434 return false; |
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435 } |
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436 |
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437 tmp = m.rows (); |
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5351
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438 retval = H5Dwrite (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
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5760
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439 &tmp) >= 0; |
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5164
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440 H5Dclose (data_hid); |
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441 if (!retval) |
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442 { |
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443 H5Sclose (space_hid); |
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444 H5Gclose (group_hid); |
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445 return false; |
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446 } |
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447 |
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5351
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448 data_hid = H5Dcreate (group_hid, "nc", H5T_NATIVE_IDX, space_hid, |
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5164
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449 H5P_DEFAULT); |
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450 if (data_hid < 0) |
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451 { |
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452 H5Sclose (space_hid); |
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453 H5Gclose (group_hid); |
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454 return false; |
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455 } |
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456 |
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457 tmp = m.cols (); |
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5351
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458 retval = H5Dwrite (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
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5760
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459 &tmp) >= 0; |
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5164
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460 H5Dclose (data_hid); |
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461 if (!retval) |
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462 { |
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463 H5Sclose (space_hid); |
|
|
464 H5Gclose (group_hid); |
|
|
465 return false; |
|
|
466 } |
|
|
467 |
|
5351
|
468 data_hid = H5Dcreate (group_hid, "nz", H5T_NATIVE_IDX, space_hid, |
|
5164
|
469 H5P_DEFAULT); |
|
|
470 if (data_hid < 0) |
|
|
471 { |
|
|
472 H5Sclose (space_hid); |
|
|
473 H5Gclose (group_hid); |
|
|
474 return false; |
|
|
475 } |
|
|
476 |
|
5604
|
477 tmp = m.nzmax (); |
|
5351
|
478 retval = H5Dwrite (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
|
5760
|
479 &tmp) >= 0; |
|
5164
|
480 H5Dclose (data_hid); |
|
|
481 if (!retval) |
|
|
482 { |
|
|
483 H5Sclose (space_hid); |
|
|
484 H5Gclose (group_hid); |
|
|
485 return false; |
|
|
486 } |
|
|
487 |
|
|
488 H5Sclose (space_hid); |
|
|
489 |
|
|
490 hdims[0] = m.cols() + 1; |
|
|
491 hdims[1] = 1; |
|
|
492 |
|
|
493 space_hid = H5Screate_simple (2, hdims, 0); |
|
|
494 |
|
|
495 if (space_hid < 0) |
|
|
496 { |
|
|
497 H5Gclose (group_hid); |
|
|
498 return false; |
|
|
499 } |
|
|
500 |
|
5351
|
501 data_hid = H5Dcreate (group_hid, "cidx", H5T_NATIVE_IDX, space_hid, |
|
5164
|
502 H5P_DEFAULT); |
|
|
503 if (data_hid < 0) |
|
|
504 { |
|
|
505 H5Sclose (space_hid); |
|
|
506 H5Gclose (group_hid); |
|
|
507 return false; |
|
|
508 } |
|
|
509 |
|
5351
|
510 octave_idx_type * itmp = m.xcidx (); |
|
|
511 retval = H5Dwrite (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
|
5760
|
512 itmp) >= 0; |
|
5164
|
513 H5Dclose (data_hid); |
|
|
514 if (!retval) |
|
|
515 { |
|
|
516 H5Sclose (space_hid); |
|
|
517 H5Gclose (group_hid); |
|
|
518 return false; |
|
|
519 } |
|
|
520 |
|
|
521 H5Sclose (space_hid); |
|
|
522 |
|
5604
|
523 hdims[0] = m.nzmax (); |
|
5164
|
524 hdims[1] = 1; |
|
|
525 |
|
|
526 space_hid = H5Screate_simple (2, hdims, 0); |
|
|
527 |
|
|
528 if (space_hid < 0) |
|
|
529 { |
|
|
530 H5Gclose (group_hid); |
|
|
531 return false; |
|
|
532 } |
|
|
533 |
|
5351
|
534 data_hid = H5Dcreate (group_hid, "ridx", H5T_NATIVE_IDX, space_hid, |
|
5164
|
535 H5P_DEFAULT); |
|
|
536 if (data_hid < 0) |
|
|
537 { |
|
|
538 H5Sclose (space_hid); |
|
|
539 H5Gclose (group_hid); |
|
|
540 return false; |
|
|
541 } |
|
|
542 |
|
|
543 itmp = m.xridx (); |
|
5351
|
544 retval = H5Dwrite (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
|
5760
|
545 itmp) >= 0; |
|
5164
|
546 H5Dclose (data_hid); |
|
|
547 if (!retval) |
|
|
548 { |
|
|
549 H5Sclose (space_hid); |
|
|
550 H5Gclose (group_hid); |
|
|
551 return false; |
|
|
552 } |
|
|
553 |
|
|
554 hid_t save_type_hid = H5T_NATIVE_DOUBLE; |
|
|
555 |
|
|
556 if (save_as_floats) |
|
|
557 { |
|
|
558 if (m.too_large_for_float ()) |
|
|
559 { |
|
|
560 warning ("save: some values too large to save as floats --"); |
|
|
561 warning ("save: saving as doubles instead"); |
|
|
562 } |
|
|
563 else |
|
|
564 save_type_hid = H5T_NATIVE_FLOAT; |
|
|
565 } |
|
|
566 #if HAVE_HDF5_INT2FLOAT_CONVERSIONS |
|
|
567 // hdf5 currently doesn't support float/integer conversions |
|
|
568 else |
|
|
569 { |
|
|
570 double max_val, min_val; |
|
|
571 |
|
|
572 if (m.all_integers (max_val, min_val)) |
|
|
573 save_type_hid |
|
|
574 = save_type_to_hdf5 (get_save_type (max_val, min_val)); |
|
|
575 } |
|
|
576 #endif /* HAVE_HDF5_INT2FLOAT_CONVERSIONS */ |
|
|
577 |
|
|
578 data_hid = H5Dcreate (group_hid, "data", save_type_hid, space_hid, |
|
|
579 H5P_DEFAULT); |
|
|
580 if (data_hid < 0) |
|
|
581 { |
|
|
582 H5Sclose (space_hid); |
|
|
583 H5Gclose (group_hid); |
|
|
584 return false; |
|
|
585 } |
|
|
586 |
|
|
587 double * dtmp = m.xdata (); |
|
|
588 retval = H5Dwrite (data_hid, H5T_NATIVE_DOUBLE, H5S_ALL, H5S_ALL, |
|
5760
|
589 H5P_DEFAULT, dtmp) >= 0; |
|
5164
|
590 H5Dclose (data_hid); |
|
|
591 H5Sclose (space_hid); |
|
|
592 H5Gclose (group_hid); |
|
|
593 |
|
|
594 return retval; |
|
|
595 } |
|
|
596 |
|
|
597 bool |
|
|
598 octave_sparse_matrix::load_hdf5 (hid_t loc_id, const char *name, |
|
5760
|
599 bool /* have_h5giterate_bug */) |
|
5164
|
600 { |
|
5351
|
601 octave_idx_type nr, nc, nz; |
|
5164
|
602 hid_t group_hid, data_hid, space_hid; |
|
|
603 hsize_t rank; |
|
|
604 |
|
|
605 dim_vector dv; |
|
|
606 int empty = load_hdf5_empty (loc_id, name, dv); |
|
|
607 if (empty > 0) |
|
|
608 matrix.resize(dv); |
|
|
609 if (empty) |
|
|
610 return (empty > 0); |
|
|
611 |
|
|
612 group_hid = H5Gopen (loc_id, name); |
|
5760
|
613 if (group_hid < 0) return false; |
|
5164
|
614 |
|
|
615 data_hid = H5Dopen (group_hid, "nr"); |
|
|
616 space_hid = H5Dget_space (data_hid); |
|
|
617 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
618 |
|
|
619 if (rank != 0) |
|
|
620 { |
|
|
621 H5Dclose (data_hid); |
|
|
622 H5Gclose (group_hid); |
|
|
623 return false; |
|
|
624 } |
|
|
625 |
|
5351
|
626 if (H5Dread (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, |
|
5760
|
627 H5P_DEFAULT, &nr) < 0) |
|
5164
|
628 { |
|
|
629 H5Dclose (data_hid); |
|
|
630 H5Gclose (group_hid); |
|
|
631 return false; |
|
|
632 } |
|
|
633 |
|
|
634 H5Dclose (data_hid); |
|
|
635 |
|
|
636 data_hid = H5Dopen (group_hid, "nc"); |
|
|
637 space_hid = H5Dget_space (data_hid); |
|
|
638 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
639 |
|
|
640 if (rank != 0) |
|
|
641 { |
|
|
642 H5Dclose (data_hid); |
|
|
643 H5Gclose (group_hid); |
|
|
644 return false; |
|
|
645 } |
|
|
646 |
|
5351
|
647 if (H5Dread (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, |
|
5760
|
648 H5P_DEFAULT, &nc) < 0) |
|
5164
|
649 { |
|
|
650 H5Dclose (data_hid); |
|
|
651 H5Gclose (group_hid); |
|
|
652 return false; |
|
|
653 } |
|
|
654 |
|
|
655 H5Dclose (data_hid); |
|
|
656 |
|
|
657 data_hid = H5Dopen (group_hid, "nz"); |
|
|
658 space_hid = H5Dget_space (data_hid); |
|
|
659 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
660 |
|
|
661 if (rank != 0) |
|
|
662 { |
|
|
663 H5Dclose (data_hid); |
|
|
664 H5Gclose (group_hid); |
|
|
665 return false; |
|
|
666 } |
|
|
667 |
|
5351
|
668 if (H5Dread (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, |
|
5760
|
669 H5P_DEFAULT, &nz) < 0) |
|
5164
|
670 { |
|
|
671 H5Dclose (data_hid); |
|
|
672 H5Gclose (group_hid); |
|
|
673 return false; |
|
|
674 } |
|
|
675 |
|
|
676 H5Dclose (data_hid); |
|
|
677 |
|
5275
|
678 SparseMatrix m (static_cast<octave_idx_type> (nr), |
|
|
679 static_cast<octave_idx_type> (nc), |
|
|
680 static_cast<octave_idx_type> (nz)); |
|
5164
|
681 |
|
|
682 data_hid = H5Dopen (group_hid, "cidx"); |
|
|
683 space_hid = H5Dget_space (data_hid); |
|
|
684 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
685 |
|
|
686 if (rank != 2) |
|
|
687 { |
|
|
688 H5Sclose (space_hid); |
|
|
689 H5Dclose (data_hid); |
|
|
690 H5Gclose (group_hid); |
|
|
691 return false; |
|
|
692 } |
|
|
693 |
|
|
694 OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank); |
|
|
695 OCTAVE_LOCAL_BUFFER (hsize_t, maxdims, rank); |
|
|
696 |
|
|
697 H5Sget_simple_extent_dims (space_hid, hdims, maxdims); |
|
|
698 |
|
5322
|
699 if (static_cast<int> (hdims[0]) != nc + 1 || |
|
|
700 static_cast<int> (hdims[1]) != 1) |
|
5164
|
701 { |
|
|
702 H5Sclose (space_hid); |
|
|
703 H5Dclose (data_hid); |
|
|
704 H5Gclose (group_hid); |
|
|
705 return false; |
|
|
706 } |
|
|
707 |
|
5351
|
708 octave_idx_type *itmp = m.xcidx (); |
|
|
709 if (H5Dread (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, |
|
5760
|
710 H5P_DEFAULT, itmp) < 0) |
|
5164
|
711 { |
|
|
712 H5Sclose (space_hid); |
|
|
713 H5Dclose (data_hid); |
|
|
714 H5Gclose (group_hid); |
|
|
715 return false; |
|
|
716 } |
|
|
717 |
|
|
718 H5Sclose (space_hid); |
|
|
719 H5Dclose (data_hid); |
|
|
720 |
|
|
721 data_hid = H5Dopen (group_hid, "ridx"); |
|
|
722 space_hid = H5Dget_space (data_hid); |
|
|
723 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
724 |
|
|
725 if (rank != 2) |
|
|
726 { |
|
|
727 H5Sclose (space_hid); |
|
|
728 H5Dclose (data_hid); |
|
|
729 H5Gclose (group_hid); |
|
|
730 return false; |
|
|
731 } |
|
|
732 |
|
|
733 H5Sget_simple_extent_dims (space_hid, hdims, maxdims); |
|
|
734 |
|
5322
|
735 if (static_cast<int> (hdims[0]) != nz || static_cast<int> (hdims[1]) != 1) |
|
5164
|
736 { |
|
|
737 H5Sclose (space_hid); |
|
|
738 H5Dclose (data_hid); |
|
|
739 H5Gclose (group_hid); |
|
|
740 return false; |
|
|
741 } |
|
|
742 |
|
|
743 itmp = m.xridx (); |
|
5351
|
744 if (H5Dread (data_hid, H5T_NATIVE_IDX, H5S_ALL, H5S_ALL, |
|
5760
|
745 H5P_DEFAULT, itmp) < 0) |
|
5164
|
746 { |
|
|
747 H5Sclose (space_hid); |
|
|
748 H5Dclose (data_hid); |
|
|
749 H5Gclose (group_hid); |
|
|
750 return false; |
|
|
751 } |
|
|
752 |
|
|
753 H5Sclose (space_hid); |
|
|
754 H5Dclose (data_hid); |
|
|
755 |
|
|
756 data_hid = H5Dopen (group_hid, "data"); |
|
|
757 space_hid = H5Dget_space (data_hid); |
|
|
758 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
759 |
|
|
760 if (rank != 2) |
|
|
761 { |
|
|
762 H5Sclose (space_hid); |
|
|
763 H5Dclose (data_hid); |
|
|
764 H5Gclose (group_hid); |
|
|
765 return false; |
|
|
766 } |
|
|
767 |
|
|
768 H5Sget_simple_extent_dims (space_hid, hdims, maxdims); |
|
|
769 |
|
5322
|
770 if (static_cast<int> (hdims[0]) != nz || static_cast<int> (hdims[1]) != 1) |
|
5164
|
771 { |
|
|
772 H5Sclose (space_hid); |
|
|
773 H5Dclose (data_hid); |
|
|
774 H5Gclose (group_hid); |
|
|
775 return false; |
|
|
776 } |
|
|
777 |
|
|
778 double *dtmp = m.xdata (); |
|
|
779 if (H5Dread (data_hid, H5T_NATIVE_DOUBLE, H5S_ALL, H5S_ALL, |
|
5760
|
780 H5P_DEFAULT, dtmp) < 0) |
|
5164
|
781 { |
|
|
782 H5Sclose (space_hid); |
|
|
783 H5Dclose (data_hid); |
|
|
784 H5Gclose (group_hid); |
|
|
785 return false; |
|
|
786 } |
|
|
787 |
|
|
788 H5Sclose (space_hid); |
|
|
789 H5Dclose (data_hid); |
|
|
790 H5Gclose (group_hid); |
|
|
791 |
|
|
792 matrix = m; |
|
|
793 |
|
|
794 return true; |
|
|
795 } |
|
5900
|
796 |
|
5164
|
797 #endif |
|
|
798 |
|
5900
|
799 mxArray * |
|
|
800 octave_sparse_matrix::as_mxArray (void) const |
|
|
801 { |
|
6686
|
802 mwSize nz = nzmax(); |
|
|
803 mwSize nr = rows(); |
|
|
804 mwSize nc = columns(); |
|
5903
|
805 mxArray *retval = new mxArray (mxDOUBLE_CLASS, nr, nc, nz, mxREAL); |
|
|
806 double *pr = static_cast<double *> (retval->get_data ()); |
|
6686
|
807 mwIndex *ir = retval->get_ir(); |
|
|
808 mwIndex *jc = retval->get_jc(); |
|
5903
|
809 |
|
6686
|
810 for (mwIndex i = 0; i < nz; i++) |
|
5903
|
811 { |
|
|
812 pr[i] = matrix.data(i); |
|
|
813 ir[i] = matrix.ridx(i); |
|
|
814 } |
|
|
815 |
|
6686
|
816 for (mwIndex i = 0; i < nc + 1; i++) |
|
5903
|
817 jc[i] = matrix.cidx(i); |
|
|
818 |
|
|
819 return retval; |
|
5900
|
820 } |
|
|
821 |
|
5164
|
822 /* |
|
|
823 ;;; Local Variables: *** |
|
|
824 ;;; mode: C++ *** |
|
|
825 ;;; End: *** |
|
|
826 */ |
