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1 /* |
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2 |
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3 Copyright (C) 1996, 1997, 1998, 2000, 2001, 2002, 2003, 2004, 2005, |
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4 2006, 2007 John W. Eaton |
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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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4100
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28 #include <climits> |
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29 |
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3503
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30 #include <iostream> |
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4726
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31 #include <vector> |
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32 |
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4944
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33 #include "data-conv.h" |
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34 #include "lo-ieee.h" |
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35 #include "lo-utils.h" |
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36 #include "mach-info.h" |
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37 #include "mx-base.h" |
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4153
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38 #include "quit.h" |
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39 |
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4901
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40 #include "defun.h" |
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41 #include "gripes.h" |
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42 #include "oct-obj.h" |
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2979
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43 #include "oct-lvalue.h" |
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4944
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44 #include "oct-stream.h" |
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2410
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45 #include "ops.h" |
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3219
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46 #include "ov-base.h" |
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47 #include "ov-base-mat.h" |
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48 #include "ov-base-mat.cc" |
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2410
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49 #include "ov-scalar.h" |
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50 #include "ov-re-mat.h" |
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51 #include "ov-re-sparse.h" |
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4901
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52 #include "ov-type-conv.h" |
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53 #include "pr-output.h" |
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2948
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54 #include "variables.h" |
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55 |
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56 #include "byte-swap.h" |
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57 #include "ls-oct-ascii.h" |
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58 #include "ls-utils.h" |
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4805
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59 #include "ls-hdf5.h" |
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60 |
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4100
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61 #if ! defined (UCHAR_MAX) |
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62 #define UCHAR_MAX 255 |
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63 #endif |
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64 |
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65 template class octave_base_matrix<NDArray>; |
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66 |
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67 DEFINE_OCTAVE_ALLOCATOR (octave_matrix); |
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68 |
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69 DEFINE_OV_TYPEID_FUNCTIONS_AND_DATA (octave_matrix, "matrix", "double"); |
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70 |
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71 octave_base_value * |
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72 octave_matrix::try_narrowing_conversion (void) |
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73 { |
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74 octave_base_value *retval = 0; |
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75 |
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76 if (matrix.nelem () == 1) |
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77 retval = new octave_scalar (matrix (0)); |
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78 |
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79 return retval; |
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80 } |
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81 |
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82 bool |
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83 octave_matrix::valid_as_scalar_index (void) const |
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84 { |
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85 // FIXME |
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86 return false; |
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87 } |
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88 |
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89 double |
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90 octave_matrix::double_value (bool) const |
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91 { |
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92 double retval = lo_ieee_nan_value (); |
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93 |
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94 if (numel () > 0) |
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95 { |
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96 gripe_implicit_conversion ("Octave:array-as-scalar", |
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97 "real matrix", "real scalar"); |
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98 |
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99 retval = matrix (0, 0); |
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100 } |
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101 else |
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102 gripe_invalid_conversion ("real matrix", "real scalar"); |
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103 |
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104 return retval; |
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105 } |
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106 |
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107 // FIXME |
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108 |
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109 Matrix |
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110 octave_matrix::matrix_value (bool) const |
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111 { |
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112 return matrix.matrix_value (); |
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113 } |
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114 |
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115 Complex |
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116 octave_matrix::complex_value (bool) const |
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117 { |
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118 double tmp = lo_ieee_nan_value (); |
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119 |
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120 Complex retval (tmp, tmp); |
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121 |
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122 if (rows () > 0 && columns () > 0) |
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123 { |
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124 gripe_implicit_conversion ("Octave:array-as-scalar", |
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125 "real matrix", "complex scalar"); |
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126 |
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127 retval = matrix (0, 0); |
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128 } |
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129 else |
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130 gripe_invalid_conversion ("real matrix", "complex scalar"); |
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131 |
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132 return retval; |
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133 } |
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134 |
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135 // FIXME |
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136 |
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137 ComplexMatrix |
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138 octave_matrix::complex_matrix_value (bool) const |
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139 { |
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140 return ComplexMatrix (matrix.matrix_value ()); |
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141 } |
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142 |
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143 ComplexNDArray |
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144 octave_matrix::complex_array_value (bool) const |
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145 { |
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146 return ComplexNDArray (matrix); |
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147 } |
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148 |
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149 boolNDArray |
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150 octave_matrix::bool_array_value (bool warn) const |
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151 { |
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152 if (warn && matrix.any_element_not_one_or_zero ()) |
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153 gripe_logical_conversion (); |
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154 |
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155 return boolNDArray (matrix); |
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156 } |
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157 |
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158 charNDArray |
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159 octave_matrix::char_array_value (bool) const |
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160 { |
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161 charNDArray retval (dims ()); |
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162 |
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163 octave_idx_type nel = numel (); |
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164 |
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165 for (octave_idx_type i = 0; i < nel; i++) |
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166 retval.elem (i) = static_cast<char>(matrix.elem (i)); |
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167 |
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168 return retval; |
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169 } |
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170 |
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171 SparseMatrix |
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172 octave_matrix::sparse_matrix_value (bool) const |
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173 { |
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174 return SparseMatrix (matrix.matrix_value ()); |
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175 } |
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176 |
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177 SparseComplexMatrix |
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178 octave_matrix::sparse_complex_matrix_value (bool) const |
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179 { |
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180 // FIXME Need a SparseComplexMatrix (Matrix) constructor to make |
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181 // this function more efficient. Then this should become |
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182 // return SparseComplexMatrix (matrix.matrix_value ()); |
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183 return SparseComplexMatrix (sparse_matrix_value ()); |
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184 } |
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185 |
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186 streamoff_array |
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187 octave_matrix::streamoff_array_value (void) const |
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188 { |
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189 streamoff_array retval (dims ()); |
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190 |
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191 octave_idx_type nel = numel (); |
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192 |
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193 for (octave_idx_type i = 0; i < nel; i++) |
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194 { |
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195 double d = matrix(i); |
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196 |
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197 if (D_NINT (d) == d) |
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198 retval(i) = std::streamoff (static_cast<long> (d)); |
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199 else |
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200 { |
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201 error ("conversion to streamoff_array value failed"); |
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202 break; |
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203 } |
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204 } |
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205 |
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206 return retval; |
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207 } |
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208 |
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209 octave_value |
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210 octave_matrix::convert_to_str_internal (bool, bool, char type) const |
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211 { |
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212 octave_value retval; |
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213 dim_vector dv = dims (); |
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214 octave_idx_type nel = dv.numel (); |
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215 |
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216 charNDArray chm (dv); |
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217 |
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218 bool warned = false; |
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219 |
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220 for (octave_idx_type i = 0; i < nel; 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 (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 (i) = static_cast<char> (ival); |
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250 } |
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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 return retval; |
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256 } |
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257 |
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258 bool |
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6974
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259 octave_matrix::save_ascii (std::ostream& os) |
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4687
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260 { |
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261 dim_vector d = dims (); |
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262 |
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263 if (d.length () > 2) |
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264 { |
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265 NDArray tmp = array_value (); |
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266 |
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267 os << "# ndims: " << d.length () << "\n"; |
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268 |
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269 for (int i=0; i < d.length (); i++) |
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270 os << " " << d (i); |
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271 |
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272 os << "\n" << tmp; |
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273 } |
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274 else |
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275 { |
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276 // Keep this case, rather than use generic code above for backward |
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277 // compatiability. Makes load_ascii much more complex!! |
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278 os << "# rows: " << rows () << "\n" |
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279 << "# columns: " << columns () << "\n"; |
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280 |
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281 os << matrix_value (); |
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282 } |
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283 |
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284 return true; |
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285 } |
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286 |
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287 bool |
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288 octave_matrix::load_ascii (std::istream& is) |
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289 { |
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290 bool success = true; |
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5099
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291 |
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292 string_vector keywords(2); |
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293 |
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294 keywords[0] = "ndims"; |
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295 keywords[1] = "rows"; |
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4687
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296 |
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5099
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297 std::string kw; |
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298 octave_idx_type val = 0; |
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5099
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299 |
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300 if (extract_keyword (is, keywords, kw, val, true)) |
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301 { |
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5099
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302 if (kw == "ndims") |
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303 { |
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5275
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304 int mdims = static_cast<int> (val); |
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305 |
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5099
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306 if (mdims >= 0) |
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307 { |
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5099
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308 dim_vector dv; |
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309 dv.resize (mdims); |
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310 |
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5099
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311 for (int i = 0; i < mdims; i++) |
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312 is >> dv(i); |
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313 |
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6717
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314 if (is) |
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315 { |
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316 NDArray tmp(dv); |
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317 |
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318 if (tmp.is_empty ()) |
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319 matrix = tmp; |
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320 else |
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321 { |
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322 is >> tmp; |
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5099
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323 |
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6717
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324 if (is) |
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325 matrix = tmp; |
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326 else |
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327 { |
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328 error ("load: failed to load matrix constant"); |
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329 success = false; |
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330 } |
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331 } |
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332 } |
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333 else |
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4687
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334 { |
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6717
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335 error ("load: failed to read dimensions"); |
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4687
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336 success = false; |
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337 } |
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338 } |
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339 else |
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5099
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340 { |
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6717
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341 error ("load: failed to extract number of dimensions"); |
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5099
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342 success = false; |
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343 } |
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4687
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344 } |
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5099
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345 else if (kw == "rows") |
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4687
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346 { |
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5275
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347 octave_idx_type nr = val; |
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348 octave_idx_type nc = 0; |
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5099
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349 |
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350 if (nr >= 0 && extract_keyword (is, "columns", nc) && nc >= 0) |
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351 { |
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352 if (nr > 0 && nc > 0) |
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353 { |
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354 Matrix tmp (nr, nc); |
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355 is >> tmp; |
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356 if (is) |
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357 matrix = tmp; |
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358 else |
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359 { |
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360 error ("load: failed to load matrix constant"); |
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361 success = false; |
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362 } |
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363 } |
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364 else if (nr == 0 || nc == 0) |
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365 matrix = Matrix (nr, nc); |
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366 else |
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367 panic_impossible (); |
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368 } |
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369 else |
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370 { |
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371 error ("load: failed to extract number of rows and columns"); |
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372 success = false; |
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373 } |
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4687
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374 } |
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5099
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375 else |
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376 panic_impossible (); |
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377 } |
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378 else |
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379 { |
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380 error ("load: failed to extract number of rows and columns"); |
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381 success = false; |
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4687
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382 } |
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383 |
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384 return success; |
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385 } |
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386 |
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387 bool |
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388 octave_matrix::save_binary (std::ostream& os, bool& save_as_floats) |
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389 { |
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390 |
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391 dim_vector d = dims (); |
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392 if (d.length() < 1) |
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393 return false; |
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394 |
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395 // Use negative value for ndims to differentiate with old format!! |
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5828
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396 int32_t tmp = - d.length(); |
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5760
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397 os.write (reinterpret_cast<char *> (&tmp), 4); |
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5275
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398 for (int i = 0; i < d.length (); i++) |
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4687
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399 { |
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400 tmp = d(i); |
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5760
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401 os.write (reinterpret_cast<char *> (&tmp), 4); |
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4687
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402 } |
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403 |
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404 NDArray m = array_value (); |
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405 save_type st = LS_DOUBLE; |
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406 if (save_as_floats) |
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407 { |
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408 if (m.too_large_for_float ()) |
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409 { |
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410 warning ("save: some values too large to save as floats --"); |
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411 warning ("save: saving as doubles instead"); |
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412 } |
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413 else |
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414 st = LS_FLOAT; |
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415 } |
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5775
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416 else if (d.numel () > 8192) // FIXME -- make this configurable. |
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4687
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417 { |
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418 double max_val, min_val; |
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419 if (m.all_integers (max_val, min_val)) |
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420 st = get_save_type (max_val, min_val); |
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421 } |
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422 |
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423 const double *mtmp = m.data (); |
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424 write_doubles (os, mtmp, st, d.numel ()); |
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425 |
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426 return true; |
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427 } |
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428 |
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429 bool |
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430 octave_matrix::load_binary (std::istream& is, bool swap, |
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|
431 oct_mach_info::float_format fmt) |
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|
432 { |
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433 char tmp; |
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5828
|
434 int32_t mdims; |
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5760
|
435 if (! is.read (reinterpret_cast<char *> (&mdims), 4)) |
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4687
|
436 return false; |
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|
437 if (swap) |
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4944
|
438 swap_bytes<4> (&mdims); |
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4687
|
439 if (mdims < 0) |
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|
440 { |
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441 mdims = - mdims; |
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5828
|
442 int32_t di; |
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4687
|
443 dim_vector dv; |
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444 dv.resize (mdims); |
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445 |
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446 for (int i = 0; i < mdims; i++) |
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447 { |
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5760
|
448 if (! is.read (reinterpret_cast<char *> (&di), 4)) |
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4687
|
449 return false; |
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|
450 if (swap) |
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4944
|
451 swap_bytes<4> (&di); |
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4687
|
452 dv(i) = di; |
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|
453 } |
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|
454 |
|
5157
|
455 // Convert an array with a single dimension to be a row vector. |
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|
456 // Octave should never write files like this, other software |
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|
457 // might. |
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458 |
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|
459 if (mdims == 1) |
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|
460 { |
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|
461 mdims = 2; |
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|
462 dv.resize (mdims); |
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|
463 dv(1) = dv(0); |
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|
464 dv(0) = 1; |
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|
465 } |
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|
466 |
|
5760
|
467 if (! is.read (reinterpret_cast<char *> (&tmp), 1)) |
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4687
|
468 return false; |
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|
469 |
|
|
470 NDArray m(dv); |
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|
471 double *re = m.fortran_vec (); |
|
5760
|
472 read_doubles (is, re, static_cast<save_type> (tmp), dv.numel (), swap, fmt); |
|
4687
|
473 if (error_state || ! is) |
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|
474 return false; |
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|
475 matrix = m; |
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|
476 } |
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|
477 else |
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|
478 { |
|
5828
|
479 int32_t nr, nc; |
|
4687
|
480 nr = mdims; |
|
5760
|
481 if (! is.read (reinterpret_cast<char *> (&nc), 4)) |
|
4687
|
482 return false; |
|
|
483 if (swap) |
|
4944
|
484 swap_bytes<4> (&nc); |
|
5760
|
485 if (! is.read (reinterpret_cast<char *> (&tmp), 1)) |
|
4687
|
486 return false; |
|
|
487 Matrix m (nr, nc); |
|
|
488 double *re = m.fortran_vec (); |
|
5275
|
489 octave_idx_type len = nr * nc; |
|
5760
|
490 read_doubles (is, re, static_cast<save_type> (tmp), len, swap, fmt); |
|
4687
|
491 if (error_state || ! is) |
|
|
492 return false; |
|
|
493 matrix = m; |
|
|
494 } |
|
|
495 return true; |
|
|
496 } |
|
|
497 |
|
|
498 #if defined (HAVE_HDF5) |
|
4944
|
499 |
|
4687
|
500 bool |
|
|
501 octave_matrix::save_hdf5 (hid_t loc_id, const char *name, bool save_as_floats) |
|
|
502 { |
|
4837
|
503 dim_vector dv = dims (); |
|
|
504 int empty = save_hdf5_empty (loc_id, name, dv); |
|
|
505 if (empty) |
|
4805
|
506 return (empty > 0); |
|
|
507 |
|
4837
|
508 int rank = dv.length (); |
|
4687
|
509 hid_t space_hid = -1, data_hid = -1; |
|
|
510 bool retval = true; |
|
|
511 NDArray m = array_value (); |
|
|
512 |
|
4805
|
513 OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank); |
|
|
514 |
|
4687
|
515 // Octave uses column-major, while HDF5 uses row-major ordering |
|
4805
|
516 for (int i = 0; i < rank; i++) |
|
4837
|
517 hdims[i] = dv (rank-i-1); |
|
4805
|
518 |
|
4815
|
519 space_hid = H5Screate_simple (rank, hdims, 0); |
|
4687
|
520 |
|
|
521 if (space_hid < 0) return false; |
|
|
522 |
|
|
523 hid_t save_type_hid = H5T_NATIVE_DOUBLE; |
|
|
524 |
|
|
525 if (save_as_floats) |
|
|
526 { |
|
|
527 if (m.too_large_for_float ()) |
|
|
528 { |
|
|
529 warning ("save: some values too large to save as floats --"); |
|
|
530 warning ("save: saving as doubles instead"); |
|
|
531 } |
|
|
532 else |
|
|
533 save_type_hid = H5T_NATIVE_FLOAT; |
|
|
534 } |
|
|
535 #if HAVE_HDF5_INT2FLOAT_CONVERSIONS |
|
|
536 // hdf5 currently doesn't support float/integer conversions |
|
|
537 else |
|
|
538 { |
|
|
539 double max_val, min_val; |
|
|
540 |
|
|
541 if (m.all_integers (max_val, min_val)) |
|
|
542 save_type_hid |
|
|
543 = save_type_to_hdf5 (get_save_type (max_val, min_val)); |
|
|
544 } |
|
|
545 #endif /* HAVE_HDF5_INT2FLOAT_CONVERSIONS */ |
|
|
546 |
|
|
547 data_hid = H5Dcreate (loc_id, name, save_type_hid, space_hid, |
|
|
548 H5P_DEFAULT); |
|
|
549 if (data_hid < 0) |
|
|
550 { |
|
|
551 H5Sclose (space_hid); |
|
|
552 return false; |
|
|
553 } |
|
|
554 |
|
|
555 double *mtmp = m.fortran_vec (); |
|
|
556 retval = H5Dwrite (data_hid, H5T_NATIVE_DOUBLE, H5S_ALL, H5S_ALL, |
|
4815
|
557 H5P_DEFAULT, mtmp) >= 0; |
|
4687
|
558 |
|
|
559 H5Dclose (data_hid); |
|
|
560 H5Sclose (space_hid); |
|
4837
|
561 |
|
4687
|
562 return retval; |
|
|
563 } |
|
|
564 |
|
|
565 bool |
|
|
566 octave_matrix::load_hdf5 (hid_t loc_id, const char *name, |
|
|
567 bool /* have_h5giterate_bug */) |
|
|
568 { |
|
4837
|
569 bool retval = false; |
|
|
570 |
|
4805
|
571 dim_vector dv; |
|
|
572 int empty = load_hdf5_empty (loc_id, name, dv); |
|
|
573 if (empty > 0) |
|
|
574 matrix.resize(dv); |
|
4837
|
575 if (empty) |
|
4805
|
576 return (empty > 0); |
|
|
577 |
|
4687
|
578 hid_t data_hid = H5Dopen (loc_id, name); |
|
|
579 hid_t space_id = H5Dget_space (data_hid); |
|
|
580 |
|
|
581 hsize_t rank = H5Sget_simple_extent_ndims (space_id); |
|
|
582 |
|
|
583 if (rank < 1) |
|
|
584 { |
|
|
585 H5Sclose (space_id); |
|
|
586 H5Dclose (data_hid); |
|
|
587 return false; |
|
|
588 } |
|
|
589 |
|
|
590 OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank); |
|
|
591 OCTAVE_LOCAL_BUFFER (hsize_t, maxdims, rank); |
|
|
592 |
|
|
593 H5Sget_simple_extent_dims (space_id, hdims, maxdims); |
|
|
594 |
|
|
595 // Octave uses column-major, while HDF5 uses row-major ordering |
|
|
596 if (rank == 1) |
|
|
597 { |
|
|
598 dv.resize (2); |
|
|
599 dv(0) = 1; |
|
|
600 dv(1) = hdims[0]; |
|
|
601 } |
|
|
602 else |
|
|
603 { |
|
|
604 dv.resize (rank); |
|
4815
|
605 for (hsize_t i = 0, j = rank - 1; i < rank; i++, j--) |
|
4687
|
606 dv(j) = hdims[i]; |
|
|
607 } |
|
|
608 |
|
|
609 NDArray m (dv); |
|
|
610 double *re = m.fortran_vec (); |
|
|
611 if (H5Dread (data_hid, H5T_NATIVE_DOUBLE, H5S_ALL, H5S_ALL, |
|
4815
|
612 H5P_DEFAULT, re) >= 0) |
|
4687
|
613 { |
|
|
614 retval = true; |
|
|
615 matrix = m; |
|
|
616 } |
|
|
617 |
|
|
618 H5Sclose (space_id); |
|
|
619 H5Dclose (data_hid); |
|
4837
|
620 |
|
4687
|
621 return retval; |
|
|
622 } |
|
4944
|
623 |
|
4687
|
624 #endif |
|
|
625 |
|
4643
|
626 void |
|
|
627 octave_matrix::print_raw (std::ostream& os, |
|
|
628 bool pr_as_read_syntax) const |
|
|
629 { |
|
|
630 octave_print_internal (os, matrix, pr_as_read_syntax, |
|
|
631 current_print_indent_level ()); |
|
|
632 } |
|
|
633 |
|
5900
|
634 mxArray * |
|
|
635 octave_matrix::as_mxArray (void) const |
|
|
636 { |
|
|
637 mxArray *retval = new mxArray (mxDOUBLE_CLASS, dims (), mxREAL); |
|
|
638 |
|
|
639 double *pr = static_cast<double *> (retval->get_data ()); |
|
|
640 |
|
6686
|
641 mwSize nel = numel (); |
|
5900
|
642 |
|
|
643 const double *p = matrix.data (); |
|
|
644 |
|
6686
|
645 for (mwIndex i = 0; i < nel; i++) |
|
5900
|
646 pr[i] = p[i]; |
|
|
647 |
|
|
648 return retval; |
|
|
649 } |
|
|
650 |
|
4901
|
651 DEFUN (double, args, , |
|
|
652 "-*- texinfo -*-\n\ |
|
|
653 @deftypefn {Built-in Function} {} double (@var{x})\n\ |
|
|
654 Convert @var{x} to double precision type.\n\ |
|
|
655 @end deftypefn") |
|
|
656 { |
|
7004
|
657 // The OCTAVE_TYPE_CONV_BODY3 macro declares retval, so they go |
|
|
658 // inside their own scopes, and we don't declare retval here to |
|
|
659 // avoid a shadowed declaration warning. |
|
|
660 |
|
|
661 if (args.length () == 1) |
|
|
662 { |
|
|
663 if (args(0).is_sparse_type ()) |
|
|
664 { |
|
|
665 OCTAVE_TYPE_CONV_BODY3 (double, octave_sparse_matrix, octave_scalar); |
|
|
666 } |
|
|
667 else |
|
|
668 { |
|
|
669 OCTAVE_TYPE_CONV_BODY3 (double, octave_matrix, octave_scalar); |
|
|
670 } |
|
|
671 } |
|
|
672 else |
|
|
673 print_usage (); |
|
|
674 |
|
|
675 return octave_value (); |
|
4901
|
676 } |
|
|
677 |
|
2376
|
678 /* |
|
|
679 ;;; Local Variables: *** |
|
|
680 ;;; mode: C++ *** |
|
|
681 ;;; End: *** |
|
|
682 */ |
