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1 /* |
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2 |
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2847
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3 Copyright (C) 1996, 1997 John W. Eaton |
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4 |
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5 This file is part of Octave. |
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6 |
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7 Octave is free software; you can redistribute it and/or modify it |
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8 under the terms of the GNU General Public License as published by the |
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9 Free Software Foundation; either version 2, or (at your option) any |
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10 later version. |
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11 |
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12 Octave is distributed in the hope that it will be useful, but WITHOUT |
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13 ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or |
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14 FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License |
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15 for more details. |
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16 |
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17 You should have received a copy of the GNU General Public License |
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18 along with Octave; see the file COPYING. If not, write to the Free |
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19 Software Foundation, 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA. |
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20 |
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21 */ |
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22 |
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4192
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23 #if defined (__GNUG__) && defined (USE_PRAGMA_INTERFACE_IMPLEMENTATION) |
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24 #pragma implementation |
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25 #endif |
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26 |
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27 #ifdef HAVE_CONFIG_H |
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28 #include <config.h> |
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29 #endif |
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30 |
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4100
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31 #include <climits> |
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32 |
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3503
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33 #include <iostream> |
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4726
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34 #include <vector> |
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2901
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35 |
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2376
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36 #include "lo-ieee.h" |
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37 #include "lo-utils.h" |
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38 #include "mx-base.h" |
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4153
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39 #include "quit.h" |
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40 |
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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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2410
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44 #include "ops.h" |
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3219
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45 #include "ov-base.h" |
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46 #include "ov-base-mat.h" |
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47 #include "ov-base-mat.cc" |
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2410
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48 #include "ov-scalar.h" |
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49 #include "ov-re-mat.h" |
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50 #include "pr-output.h" |
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2948
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51 #include "variables.h" |
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52 |
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4687
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53 #include "byte-swap.h" |
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54 #include "ls-oct-ascii.h" |
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55 #include "ls-utils.h" |
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4805
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56 #include "ls-hdf5.h" |
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57 |
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4100
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58 #if ! defined (UCHAR_MAX) |
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59 #define UCHAR_MAX 255 |
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60 #endif |
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61 |
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4513
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62 template class octave_base_matrix<NDArray>; |
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63 |
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3219
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64 DEFINE_OCTAVE_ALLOCATOR (octave_matrix); |
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65 |
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4612
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66 DEFINE_OV_TYPEID_FUNCTIONS_AND_DATA (octave_matrix, "matrix", "double"); |
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67 |
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2410
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68 octave_value * |
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69 octave_matrix::try_narrowing_conversion (void) |
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70 { |
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71 octave_value *retval = 0; |
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72 |
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4513
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73 if (matrix.nelem () == 1) |
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74 retval = new octave_scalar (matrix (0)); |
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2410
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75 |
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76 return retval; |
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77 } |
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78 |
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79 bool |
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80 octave_matrix::valid_as_scalar_index (void) const |
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81 { |
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82 // XXX FIXME XXX |
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83 return false; |
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84 } |
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85 |
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86 double |
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87 octave_matrix::double_value (bool) const |
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88 { |
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4102
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89 double retval = lo_ieee_nan_value (); |
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90 |
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4645
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91 if (numel () > 0) |
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4455
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92 { |
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93 // XXX FIXME XXX -- is warn_fortran_indexing the right variable here? |
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94 if (Vwarn_fortran_indexing) |
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95 gripe_implicit_conversion ("real matrix", "real scalar"); |
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96 |
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97 retval = matrix (0, 0); |
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98 } |
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99 else |
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100 gripe_invalid_conversion ("real matrix", "real scalar"); |
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101 |
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102 return retval; |
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103 } |
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104 |
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4513
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105 // XXX FIXME XXX |
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106 |
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107 Matrix |
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108 octave_matrix::matrix_value (bool) const |
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109 { |
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110 return matrix.matrix_value (); |
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111 } |
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112 |
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113 Complex |
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114 octave_matrix::complex_value (bool) const |
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115 { |
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4102
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116 double tmp = lo_ieee_nan_value (); |
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117 |
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118 Complex retval (tmp, tmp); |
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119 |
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120 // XXX FIXME XXX -- maybe this should be a function, valid_as_scalar() |
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121 if (rows () > 0 && columns () > 0) |
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122 { |
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123 // XXX FIXME XXX -- is warn_fortran_indexing the right variable here? |
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124 if (Vwarn_fortran_indexing) |
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125 gripe_implicit_conversion ("real 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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4513
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135 // XXX FIXME XXX |
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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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4699
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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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4758
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149 charNDArray |
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150 octave_matrix::char_array_value (bool) const |
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151 { |
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152 charNDArray retval (dims ()); |
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153 |
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154 int nel = numel (); |
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155 |
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156 for (int i = 0; i < nel; i++) |
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157 retval.elem (i) = static_cast<char>(matrix.elem (i)); |
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158 |
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159 return retval; |
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160 } |
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161 |
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162 streamoff_array |
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163 octave_matrix::streamoff_array_value (void) const |
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164 { |
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165 streamoff_array retval (dims ()); |
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166 |
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167 int nel = numel (); |
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168 |
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169 for (int i = 0; i < nel; i++) |
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170 { |
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171 double d = matrix(i); |
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172 |
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173 if (D_NINT (d) == d) |
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174 retval(i) = std::streamoff (static_cast<long> (d)); |
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175 else |
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176 { |
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177 error ("conversion to streamoff_array value failed"); |
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178 break; |
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179 } |
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180 } |
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181 |
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182 return retval; |
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183 } |
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184 |
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185 octave_value |
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186 octave_matrix::convert_to_str_internal (bool, bool) const |
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187 { |
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188 octave_value retval; |
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189 |
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190 int nr = matrix.rows (); |
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191 int nc = matrix.columns (); |
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192 |
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193 if (nr == 0 && nc == 0) |
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194 { |
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195 char s = '\0'; |
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196 retval = octave_value (&s); |
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197 } |
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198 else |
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199 { |
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200 if (nr == 0 || nc == 0) |
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201 { |
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202 char s = '\0'; |
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203 retval = octave_value (&s); |
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204 } |
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205 else |
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206 { |
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207 charMatrix chm (nr, nc); |
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208 |
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209 bool warned = false; |
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210 |
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211 for (int j = 0; j < nc; j++) |
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212 { |
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213 for (int i = 0; i < nr; i++) |
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214 { |
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215 OCTAVE_QUIT; |
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216 |
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217 double d = matrix (i, j); |
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218 |
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219 if (xisnan (d)) |
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220 { |
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221 ::error ("invalid conversion from NaN to character"); |
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222 return retval; |
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223 } |
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224 else |
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225 { |
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226 int ival = NINT (d); |
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227 |
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228 if (ival < 0 || ival > UCHAR_MAX) |
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229 { |
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230 // XXX FIXME XXX -- is there something |
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231 // better we could do? |
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232 |
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233 ival = 0; |
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234 |
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235 if (! warned) |
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236 { |
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237 ::warning ("range error for conversion to character value"); |
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238 warned = true; |
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239 } |
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240 } |
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241 |
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242 chm (i, j) = static_cast<char> (ival); |
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243 } |
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244 } |
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245 } |
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246 |
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247 retval = octave_value (chm, 1); |
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248 } |
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249 } |
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250 |
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251 return retval; |
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252 } |
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253 |
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254 static Matrix |
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255 strip_infnan (const Matrix& m) |
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256 { |
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257 int nr = m.rows (); |
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258 int nc = m.columns (); |
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259 |
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260 Matrix retval (nr, nc); |
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261 |
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262 int k = 0; |
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263 for (int i = 0; i < nr; i++) |
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264 { |
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265 for (int j = 0; j < nc; j++) |
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266 { |
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267 double d = m (i, j); |
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268 if (xisnan (d)) |
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269 goto next_row; |
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270 else |
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271 retval (k, j) = xisinf (d) ? (d > 0 ? OCT_RBV : -OCT_RBV) : d; |
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272 } |
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273 k++; |
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274 |
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275 next_row: |
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276 continue; |
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277 } |
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278 |
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279 if (k > 0) |
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280 retval.resize (k, nc); |
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281 |
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282 return retval; |
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283 } |
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284 |
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285 bool |
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286 octave_matrix::save_ascii (std::ostream& os, bool& infnan_warned, |
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287 bool strip_nan_and_inf) |
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288 { |
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289 dim_vector d = dims (); |
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290 if (d.length () > 2) |
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291 { |
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292 NDArray tmp = array_value (); |
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293 |
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294 if (strip_nan_and_inf) |
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295 { |
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296 warning ("save: Can not strip Inf or NaN values"); |
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297 warning ("save: Inf or NaN values may not be reloadable"); |
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298 infnan_warned = true; |
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299 } |
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300 else if (! infnan_warned && tmp.any_element_is_inf_or_nan ()) |
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301 { |
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302 warning ("save: Inf or NaN values may not be reloadable"); |
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303 infnan_warned = true; |
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304 } |
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305 |
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306 os << "# ndims: " << d.length () << "\n"; |
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307 |
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308 for (int i=0; i < d.length (); i++) |
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309 os << " " << d (i); |
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310 |
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311 os << "\n" << tmp; |
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312 } |
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313 else |
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314 { |
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315 // Keep this case, rather than use generic code above for backward |
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316 // compatiability. Makes load_ascii much more complex!! |
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317 os << "# rows: " << rows () << "\n" |
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318 << "# columns: " << columns () << "\n"; |
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319 |
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320 Matrix tmp = matrix_value (); |
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321 |
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322 if (strip_nan_and_inf) |
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323 tmp = strip_infnan (tmp); |
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324 else if (! infnan_warned && tmp.any_element_is_inf_or_nan ()) |
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325 { |
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326 warning ("save: Inf or NaN values may not be reloadable"); |
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327 infnan_warned = true; |
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328 } |
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329 |
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330 os << tmp; |
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331 } |
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332 |
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333 return true; |
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334 } |
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335 |
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336 bool |
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337 octave_matrix::load_ascii (std::istream& is) |
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338 { |
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339 int mdims = 0; |
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340 bool success = true; |
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341 std::streampos pos = is.tellg (); |
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342 |
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343 if (extract_keyword (is, "ndims", mdims, true)) |
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344 { |
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345 if (mdims >= 0) |
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346 { |
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347 dim_vector dv; |
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348 dv.resize (mdims); |
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349 |
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350 for (int i = 0; i < mdims; i++) |
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351 is >> dv(i); |
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352 |
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353 NDArray tmp(dv); |
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354 is >> tmp; |
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355 |
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356 if (!is) |
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357 { |
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358 error ("load: failed to load matrix constant"); |
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359 success = false; |
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360 } |
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361 matrix = tmp; |
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362 } |
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363 else |
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364 { |
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365 error ("load: failed to extract number of rows and columns"); |
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366 success = false; |
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367 } |
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368 } |
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369 else |
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370 { |
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371 int nr = 0; |
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372 int nc = 0; |
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373 |
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374 // re-read the same line again |
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375 is.clear (); |
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376 is.seekg (pos); |
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377 |
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378 if (extract_keyword (is, "rows", nr) && nr >= 0 |
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379 && extract_keyword (is, "columns", nc) && nc >= 0) |
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380 { |
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381 if (nr > 0 && nc > 0) |
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382 { |
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383 Matrix tmp (nr, nc); |
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384 is >> tmp; |
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385 if (is) |
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386 matrix = tmp; |
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387 else |
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388 { |
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389 error ("load: failed to load matrix constant"); |
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390 success = false; |
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391 } |
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392 } |
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393 else if (nr == 0 || nc == 0) |
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394 matrix = Matrix (nr, nc); |
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395 else |
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396 panic_impossible (); |
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397 } |
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398 else |
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399 { |
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400 error ("load: failed to extract number of rows and columns"); |
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401 success = false; |
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402 } |
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403 } |
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404 |
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405 return success; |
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406 } |
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407 |
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408 bool |
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409 octave_matrix::save_binary (std::ostream& os, bool& save_as_floats) |
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410 { |
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411 |
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412 dim_vector d = dims (); |
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413 if (d.length() < 1) |
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414 return false; |
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415 |
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416 // Use negative value for ndims to differentiate with old format!! |
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417 FOUR_BYTE_INT tmp = - d.length(); |
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418 os.write (X_CAST (char *, &tmp), 4); |
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419 for (int i=0; i < d.length (); i++) |
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420 { |
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421 tmp = d(i); |
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422 os.write (X_CAST (char *, &tmp), 4); |
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423 } |
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424 |
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425 NDArray m = array_value (); |
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426 save_type st = LS_DOUBLE; |
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427 if (save_as_floats) |
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428 { |
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429 if (m.too_large_for_float ()) |
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430 { |
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431 warning ("save: some values too large to save as floats --"); |
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432 warning ("save: saving as doubles instead"); |
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433 } |
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434 else |
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435 st = LS_FLOAT; |
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436 } |
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437 else if (d.numel () > 8192) // XXX FIXME XXX -- make this configurable. |
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438 { |
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439 double max_val, min_val; |
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440 if (m.all_integers (max_val, min_val)) |
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441 st = get_save_type (max_val, min_val); |
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442 } |
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443 |
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444 const double *mtmp = m.data (); |
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445 write_doubles (os, mtmp, st, d.numel ()); |
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446 |
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447 return true; |
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448 } |
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449 |
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450 bool |
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451 octave_matrix::load_binary (std::istream& is, bool swap, |
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452 oct_mach_info::float_format fmt) |
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453 { |
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454 char tmp; |
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455 FOUR_BYTE_INT mdims; |
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456 if (! is.read (X_CAST (char *, &mdims), 4)) |
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457 return false; |
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458 if (swap) |
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459 swap_4_bytes (X_CAST (char *, &mdims)); |
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460 if (mdims < 0) |
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461 { |
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462 mdims = - mdims; |
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463 FOUR_BYTE_INT di; |
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464 dim_vector dv; |
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465 dv.resize (mdims); |
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466 |
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467 for (int i = 0; i < mdims; i++) |
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468 { |
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469 if (! is.read (X_CAST (char *, &di), 4)) |
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470 return false; |
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471 if (swap) |
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472 swap_4_bytes (X_CAST (char *, &di)); |
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473 dv(i) = di; |
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474 } |
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475 |
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476 if (! is.read (X_CAST (char *, &tmp), 1)) |
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477 return false; |
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478 |
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479 NDArray m(dv); |
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480 double *re = m.fortran_vec (); |
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481 read_doubles (is, re, X_CAST (save_type, tmp), dv.numel (), swap, fmt); |
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482 if (error_state || ! is) |
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483 return false; |
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484 matrix = m; |
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485 } |
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486 else |
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487 { |
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488 FOUR_BYTE_INT nr, nc; |
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489 nr = mdims; |
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490 if (! is.read (X_CAST (char *, &nc), 4)) |
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491 return false; |
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492 if (swap) |
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493 swap_4_bytes (X_CAST (char *, &nc)); |
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494 if (! is.read (X_CAST (char *, &tmp), 1)) |
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495 return false; |
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496 Matrix m (nr, nc); |
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497 double *re = m.fortran_vec (); |
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498 int len = nr * nc; |
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499 read_doubles (is, re, X_CAST (save_type, tmp), len, swap, fmt); |
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500 if (error_state || ! is) |
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501 return false; |
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502 matrix = m; |
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503 } |
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504 return true; |
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505 } |
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506 |
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507 #if defined (HAVE_HDF5) |
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508 bool |
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509 octave_matrix::save_hdf5 (hid_t loc_id, const char *name, bool save_as_floats) |
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510 { |
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511 dim_vector d = dims (); |
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4805
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512 int empty = save_hdf5_empty (loc_id, name, d); |
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513 if (empty != 0) |
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514 return (empty > 0); |
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515 |
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516 int rank = d.length (); |
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4687
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517 hid_t space_hid = -1, data_hid = -1; |
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518 bool retval = true; |
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519 NDArray m = array_value (); |
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520 |
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4805
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521 OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank); |
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522 |
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4687
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523 // Octave uses column-major, while HDF5 uses row-major ordering |
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4805
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524 for (int i = 0; i < rank; i++) |
|
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525 hdims[i] = d (rank-i-1); |
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526 |
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4815
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527 space_hid = H5Screate_simple (rank, hdims, 0); |
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4687
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528 |
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529 if (space_hid < 0) return false; |
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530 |
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531 hid_t save_type_hid = H5T_NATIVE_DOUBLE; |
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|
532 |
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533 if (save_as_floats) |
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|
534 { |
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535 if (m.too_large_for_float ()) |
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|
536 { |
|
|
537 warning ("save: some values too large to save as floats --"); |
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538 warning ("save: saving as doubles instead"); |
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539 } |
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540 else |
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541 save_type_hid = H5T_NATIVE_FLOAT; |
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542 } |
|
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543 #if HAVE_HDF5_INT2FLOAT_CONVERSIONS |
|
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544 // hdf5 currently doesn't support float/integer conversions |
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545 else |
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546 { |
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|
547 double max_val, min_val; |
|
|
548 |
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549 if (m.all_integers (max_val, min_val)) |
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550 save_type_hid |
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|
551 = save_type_to_hdf5 (get_save_type (max_val, min_val)); |
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552 } |
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553 #endif /* HAVE_HDF5_INT2FLOAT_CONVERSIONS */ |
|
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554 |
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555 data_hid = H5Dcreate (loc_id, name, save_type_hid, space_hid, |
|
|
556 H5P_DEFAULT); |
|
|
557 if (data_hid < 0) |
|
|
558 { |
|
|
559 H5Sclose (space_hid); |
|
|
560 return false; |
|
|
561 } |
|
|
562 |
|
|
563 double *mtmp = m.fortran_vec (); |
|
|
564 retval = H5Dwrite (data_hid, H5T_NATIVE_DOUBLE, H5S_ALL, H5S_ALL, |
|
4815
|
565 H5P_DEFAULT, mtmp) >= 0; |
|
4687
|
566 |
|
|
567 H5Dclose (data_hid); |
|
|
568 H5Sclose (space_hid); |
|
|
569 return retval; |
|
|
570 } |
|
|
571 |
|
|
572 bool |
|
|
573 octave_matrix::load_hdf5 (hid_t loc_id, const char *name, |
|
|
574 bool /* have_h5giterate_bug */) |
|
|
575 { |
|
4805
|
576 dim_vector dv; |
|
|
577 int empty = load_hdf5_empty (loc_id, name, dv); |
|
|
578 if (empty > 0) |
|
|
579 matrix.resize(dv); |
|
|
580 if (empty != 0) |
|
|
581 return (empty > 0); |
|
|
582 |
|
4687
|
583 bool retval = false; |
|
|
584 hid_t data_hid = H5Dopen (loc_id, name); |
|
|
585 hid_t space_id = H5Dget_space (data_hid); |
|
|
586 |
|
|
587 hsize_t rank = H5Sget_simple_extent_ndims (space_id); |
|
|
588 |
|
|
589 if (rank < 1) |
|
|
590 { |
|
|
591 H5Sclose (space_id); |
|
|
592 H5Dclose (data_hid); |
|
|
593 return false; |
|
|
594 } |
|
|
595 |
|
|
596 OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank); |
|
|
597 OCTAVE_LOCAL_BUFFER (hsize_t, maxdims, rank); |
|
|
598 |
|
|
599 H5Sget_simple_extent_dims (space_id, hdims, maxdims); |
|
|
600 |
|
|
601 // Octave uses column-major, while HDF5 uses row-major ordering |
|
|
602 if (rank == 1) |
|
|
603 { |
|
|
604 dv.resize (2); |
|
|
605 dv(0) = 1; |
|
|
606 dv(1) = hdims[0]; |
|
|
607 } |
|
|
608 else |
|
|
609 { |
|
|
610 dv.resize (rank); |
|
4815
|
611 for (hsize_t i = 0, j = rank - 1; i < rank; i++, j--) |
|
4687
|
612 dv(j) = hdims[i]; |
|
|
613 } |
|
|
614 |
|
|
615 NDArray m (dv); |
|
|
616 double *re = m.fortran_vec (); |
|
|
617 if (H5Dread (data_hid, H5T_NATIVE_DOUBLE, H5S_ALL, H5S_ALL, |
|
4815
|
618 H5P_DEFAULT, re) >= 0) |
|
4687
|
619 { |
|
|
620 retval = true; |
|
|
621 matrix = m; |
|
|
622 } |
|
|
623 |
|
|
624 H5Sclose (space_id); |
|
|
625 H5Dclose (data_hid); |
|
|
626 return retval; |
|
|
627 } |
|
|
628 #endif |
|
|
629 |
|
4643
|
630 void |
|
|
631 octave_matrix::print_raw (std::ostream& os, |
|
|
632 bool pr_as_read_syntax) const |
|
|
633 { |
|
|
634 octave_print_internal (os, matrix, pr_as_read_syntax, |
|
|
635 current_print_indent_level ()); |
|
|
636 } |
|
|
637 |
|
2376
|
638 /* |
|
|
639 ;;; Local Variables: *** |
|
|
640 ;;; mode: C++ *** |
|
|
641 ;;; End: *** |
|
|
642 */ |
