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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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56 |
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4100
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57 #if ! defined (UCHAR_MAX) |
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58 #define UCHAR_MAX 255 |
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59 #endif |
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60 |
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4513
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61 template class octave_base_matrix<NDArray>; |
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62 |
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3219
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63 DEFINE_OCTAVE_ALLOCATOR (octave_matrix); |
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2477
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64 |
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4612
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65 DEFINE_OV_TYPEID_FUNCTIONS_AND_DATA (octave_matrix, "matrix", "double"); |
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66 |
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2410
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67 octave_value * |
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68 octave_matrix::try_narrowing_conversion (void) |
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69 { |
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70 octave_value *retval = 0; |
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71 |
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4513
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72 if (matrix.nelem () == 1) |
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73 retval = new octave_scalar (matrix (0)); |
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2410
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74 |
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75 return retval; |
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76 } |
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77 |
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78 bool |
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79 octave_matrix::valid_as_scalar_index (void) const |
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80 { |
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81 // XXX FIXME XXX |
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82 return false; |
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83 } |
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84 |
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85 double |
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86 octave_matrix::double_value (bool) const |
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87 { |
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4102
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88 double retval = lo_ieee_nan_value (); |
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89 |
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90 if (numel () > 0) |
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4455
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91 { |
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92 // XXX FIXME XXX -- is warn_fortran_indexing the right variable here? |
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93 if (Vwarn_fortran_indexing) |
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94 gripe_implicit_conversion ("real matrix", "real scalar"); |
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95 |
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96 retval = matrix (0, 0); |
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97 } |
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98 else |
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99 gripe_invalid_conversion ("real matrix", "real scalar"); |
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100 |
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101 return retval; |
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102 } |
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103 |
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4513
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104 // XXX FIXME XXX |
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105 |
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106 Matrix |
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107 octave_matrix::matrix_value (bool) const |
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108 { |
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109 return matrix.matrix_value (); |
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110 } |
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111 |
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112 Complex |
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113 octave_matrix::complex_value (bool) const |
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114 { |
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115 double tmp = lo_ieee_nan_value (); |
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116 |
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117 Complex retval (tmp, tmp); |
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118 |
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119 // XXX FIXME XXX -- maybe this should be a function, valid_as_scalar() |
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120 if (rows () > 0 && columns () > 0) |
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121 { |
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122 // XXX FIXME XXX -- is warn_fortran_indexing the right variable here? |
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123 if (Vwarn_fortran_indexing) |
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124 gripe_implicit_conversion ("real matrix", "complex scalar"); |
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125 |
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126 retval = matrix (0, 0); |
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127 } |
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128 else |
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129 gripe_invalid_conversion ("real matrix", "complex scalar"); |
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130 |
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131 return retval; |
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132 } |
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133 |
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4513
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134 // XXX FIXME XXX |
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135 |
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136 ComplexMatrix |
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137 octave_matrix::complex_matrix_value (bool) const |
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138 { |
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139 return ComplexMatrix (matrix.matrix_value ()); |
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140 } |
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141 |
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4699
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142 ComplexNDArray |
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143 octave_matrix::complex_array_value (bool) const |
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144 { |
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145 return ComplexNDArray (matrix); |
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146 } |
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147 |
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4758
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148 charNDArray |
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149 octave_matrix::char_array_value (bool) const |
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150 { |
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151 charNDArray retval (dims ()); |
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152 |
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153 int nel = numel (); |
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154 |
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155 for (int i = 0; i < nel; i++) |
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156 retval.elem (i) = static_cast<char>(matrix.elem (i)); |
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157 |
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158 return retval; |
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159 } |
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160 |
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4645
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161 streamoff_array |
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162 octave_matrix::streamoff_array_value (void) const |
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163 { |
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164 streamoff_array retval (dims ()); |
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165 |
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166 int nel = numel (); |
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167 |
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168 for (int i = 0; i < nel; i++) |
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169 { |
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170 double d = matrix(i); |
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171 |
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172 if (D_NINT (d) == d) |
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173 retval(i) = std::streamoff (static_cast<long> (d)); |
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174 else |
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175 { |
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176 error ("conversion to streamoff_array value failed"); |
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177 break; |
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178 } |
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179 } |
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180 |
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181 return retval; |
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182 } |
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183 |
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184 octave_value |
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185 octave_matrix::convert_to_str_internal (bool, bool) const |
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186 { |
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187 octave_value retval; |
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188 |
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189 int nr = matrix.rows (); |
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190 int nc = matrix.columns (); |
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191 |
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192 if (nr == 0 && nc == 0) |
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193 { |
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194 char s = '\0'; |
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195 retval = octave_value (&s); |
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196 } |
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197 else |
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198 { |
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199 if (nr == 0 || nc == 0) |
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200 { |
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201 char s = '\0'; |
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202 retval = octave_value (&s); |
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203 } |
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204 else |
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205 { |
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206 charMatrix chm (nr, nc); |
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207 |
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208 bool warned = false; |
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209 |
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210 for (int j = 0; j < nc; j++) |
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211 { |
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212 for (int i = 0; i < nr; i++) |
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213 { |
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4153
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214 OCTAVE_QUIT; |
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215 |
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216 double d = matrix (i, j); |
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217 |
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218 if (xisnan (d)) |
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219 { |
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220 ::error ("invalid conversion from NaN to character"); |
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221 return retval; |
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222 } |
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223 else |
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224 { |
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225 int ival = NINT (d); |
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226 |
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227 if (ival < 0 || ival > UCHAR_MAX) |
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228 { |
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229 // XXX FIXME XXX -- is there something |
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230 // better we could do? |
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231 |
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232 ival = 0; |
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233 |
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4100
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234 if (! warned) |
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235 { |
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236 ::warning ("range error for conversion to character value"); |
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237 warned = true; |
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238 } |
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239 } |
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240 |
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241 chm (i, j) = static_cast<char> (ival); |
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242 } |
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243 } |
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244 } |
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245 |
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246 retval = octave_value (chm, 1); |
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247 } |
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248 } |
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249 |
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250 return retval; |
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251 } |
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252 |
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253 static Matrix |
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254 strip_infnan (const Matrix& m) |
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255 { |
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256 int nr = m.rows (); |
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257 int nc = m.columns (); |
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258 |
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259 Matrix retval (nr, nc); |
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260 |
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261 int k = 0; |
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262 for (int i = 0; i < nr; i++) |
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263 { |
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264 for (int j = 0; j < nc; j++) |
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265 { |
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266 double d = m (i, j); |
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267 if (xisnan (d)) |
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268 goto next_row; |
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269 else |
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270 retval (k, j) = xisinf (d) ? (d > 0 ? OCT_RBV : -OCT_RBV) : d; |
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271 } |
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272 k++; |
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273 |
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274 next_row: |
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275 continue; |
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276 } |
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277 |
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278 if (k > 0) |
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279 retval.resize (k, nc); |
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280 |
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281 return retval; |
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282 } |
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283 |
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284 bool |
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285 octave_matrix::save_ascii (std::ostream& os, bool& infnan_warned, |
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286 bool strip_nan_and_inf) |
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287 { |
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288 dim_vector d = dims (); |
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289 if (d.length () > 2) |
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290 { |
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291 NDArray tmp = array_value (); |
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292 |
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293 if (strip_nan_and_inf) |
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294 { |
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295 warning ("save: Can not strip Inf or NaN values"); |
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296 warning ("save: Inf or NaN values may not be reloadable"); |
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297 infnan_warned = true; |
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298 } |
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299 else if (! infnan_warned && tmp.any_element_is_inf_or_nan ()) |
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300 { |
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301 warning ("save: Inf or NaN values may not be reloadable"); |
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302 infnan_warned = true; |
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303 } |
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304 |
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305 os << "# ndims: " << d.length () << "\n"; |
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306 |
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307 for (int i=0; i < d.length (); i++) |
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308 os << " " << d (i); |
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309 |
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310 os << "\n" << tmp; |
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311 } |
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312 else |
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313 { |
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314 // Keep this case, rather than use generic code above for backward |
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315 // compatiability. Makes load_ascii much more complex!! |
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316 os << "# rows: " << rows () << "\n" |
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317 << "# columns: " << columns () << "\n"; |
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318 |
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319 Matrix tmp = matrix_value (); |
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320 |
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321 if (strip_nan_and_inf) |
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322 tmp = strip_infnan (tmp); |
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323 else if (! infnan_warned && tmp.any_element_is_inf_or_nan ()) |
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324 { |
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325 warning ("save: Inf or NaN values may not be reloadable"); |
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326 infnan_warned = true; |
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327 } |
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328 |
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329 os << tmp; |
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330 } |
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331 |
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332 return true; |
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333 } |
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334 |
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335 bool |
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336 octave_matrix::load_ascii (std::istream& is) |
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337 { |
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338 int mdims = 0; |
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339 bool success = true; |
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340 std::streampos pos = is.tellg (); |
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341 |
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342 if (extract_keyword (is, "ndims", mdims, true)) |
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343 { |
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344 if (mdims >= 0) |
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345 { |
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346 dim_vector dv; |
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347 dv.resize (mdims); |
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348 |
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349 for (int i = 0; i < mdims; i++) |
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350 is >> dv(i); |
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351 |
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352 NDArray tmp(dv); |
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353 is >> tmp; |
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354 |
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355 if (!is) |
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356 { |
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357 error ("load: failed to load matrix constant"); |
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358 success = false; |
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359 } |
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360 matrix = tmp; |
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361 } |
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362 else |
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363 { |
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364 error ("load: failed to extract number of rows and columns"); |
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365 success = false; |
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366 } |
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367 } |
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368 else |
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369 { |
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370 int nr = 0; |
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371 int nc = 0; |
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372 |
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373 // re-read the same line again |
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374 is.clear (); |
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375 is.seekg (pos); |
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376 |
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377 if (extract_keyword (is, "rows", nr) && nr >= 0 |
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378 && extract_keyword (is, "columns", nc) && nc >= 0) |
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379 { |
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380 if (nr > 0 && nc > 0) |
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381 { |
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382 Matrix tmp (nr, nc); |
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383 is >> tmp; |
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384 if (is) |
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385 matrix = tmp; |
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386 else |
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387 { |
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388 error ("load: failed to load matrix constant"); |
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389 success = false; |
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390 } |
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391 } |
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392 else if (nr == 0 || nc == 0) |
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393 matrix = Matrix (nr, nc); |
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394 else |
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395 panic_impossible (); |
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396 } |
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397 else |
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398 { |
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399 error ("load: failed to extract number of rows and columns"); |
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400 success = false; |
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401 } |
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402 } |
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403 |
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404 return success; |
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405 } |
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406 |
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407 bool |
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408 octave_matrix::save_binary (std::ostream& os, bool& save_as_floats) |
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409 { |
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410 |
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411 dim_vector d = dims (); |
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412 if (d.length() < 1) |
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413 return false; |
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414 |
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415 // Use negative value for ndims to differentiate with old format!! |
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416 FOUR_BYTE_INT tmp = - d.length(); |
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417 os.write (X_CAST (char *, &tmp), 4); |
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418 for (int i=0; i < d.length (); i++) |
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419 { |
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420 tmp = d(i); |
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421 os.write (X_CAST (char *, &tmp), 4); |
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422 } |
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423 |
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424 NDArray m = array_value (); |
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425 save_type st = LS_DOUBLE; |
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426 if (save_as_floats) |
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427 { |
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428 if (m.too_large_for_float ()) |
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429 { |
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430 warning ("save: some values too large to save as floats --"); |
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431 warning ("save: saving as doubles instead"); |
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432 } |
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433 else |
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434 st = LS_FLOAT; |
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435 } |
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436 else if (d.numel () > 8192) // XXX FIXME XXX -- make this configurable. |
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437 { |
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438 double max_val, min_val; |
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439 if (m.all_integers (max_val, min_val)) |
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440 st = get_save_type (max_val, min_val); |
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441 } |
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442 |
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443 const double *mtmp = m.data (); |
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444 write_doubles (os, mtmp, st, d.numel ()); |
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445 |
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446 return true; |
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447 } |
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448 |
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449 bool |
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450 octave_matrix::load_binary (std::istream& is, bool swap, |
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451 oct_mach_info::float_format fmt) |
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452 { |
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453 char tmp; |
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454 FOUR_BYTE_INT mdims; |
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455 if (! is.read (X_CAST (char *, &mdims), 4)) |
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456 return false; |
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457 if (swap) |
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458 swap_4_bytes (X_CAST (char *, &mdims)); |
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459 if (mdims < 0) |
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460 { |
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461 mdims = - mdims; |
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462 FOUR_BYTE_INT di; |
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463 dim_vector dv; |
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464 dv.resize (mdims); |
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465 |
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466 for (int i = 0; i < mdims; i++) |
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467 { |
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468 if (! is.read (X_CAST (char *, &di), 4)) |
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469 return false; |
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470 if (swap) |
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471 swap_4_bytes (X_CAST (char *, &di)); |
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472 dv(i) = di; |
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473 } |
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474 |
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475 if (! is.read (X_CAST (char *, &tmp), 1)) |
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476 return false; |
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477 |
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478 NDArray m(dv); |
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479 double *re = m.fortran_vec (); |
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480 read_doubles (is, re, X_CAST (save_type, tmp), dv.numel (), swap, fmt); |
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481 if (error_state || ! is) |
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482 return false; |
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483 matrix = m; |
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484 } |
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485 else |
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486 { |
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487 FOUR_BYTE_INT nr, nc; |
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488 nr = mdims; |
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489 if (! is.read (X_CAST (char *, &nc), 4)) |
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490 return false; |
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491 if (swap) |
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492 swap_4_bytes (X_CAST (char *, &nc)); |
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493 if (! is.read (X_CAST (char *, &tmp), 1)) |
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494 return false; |
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495 Matrix m (nr, nc); |
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496 double *re = m.fortran_vec (); |
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497 int len = nr * nc; |
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498 read_doubles (is, re, X_CAST (save_type, tmp), len, swap, fmt); |
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499 if (error_state || ! is) |
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500 return false; |
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501 matrix = m; |
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502 } |
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503 return true; |
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504 } |
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505 |
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506 #if defined (HAVE_HDF5) |
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507 bool |
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508 octave_matrix::save_hdf5 (hid_t loc_id, const char *name, bool save_as_floats) |
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509 { |
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510 dim_vector d = dims (); |
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511 hsize_t hdims[d.length () > 2 ? d.length () : 3]; |
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512 hid_t space_hid = -1, data_hid = -1; |
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513 int rank = ( (d (0) == 1) && (d.length () == 2) ? 1 : d.length ()); |
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514 bool retval = true; |
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515 NDArray m = array_value (); |
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516 |
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517 // Octave uses column-major, while HDF5 uses row-major ordering |
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518 for (int i = 0, j = d.length() - 1; i < d.length (); i++, j--) |
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519 hdims[i] = d (j); |
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520 |
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521 space_hid = H5Screate_simple (rank, hdims, (hsize_t*) 0); |
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522 if (space_hid < 0) return false; |
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523 |
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524 hid_t save_type_hid = H5T_NATIVE_DOUBLE; |
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525 |
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526 if (save_as_floats) |
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527 { |
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528 if (m.too_large_for_float ()) |
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529 { |
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530 warning ("save: some values too large to save as floats --"); |
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531 warning ("save: saving as doubles instead"); |
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532 } |
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533 else |
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534 save_type_hid = H5T_NATIVE_FLOAT; |
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535 } |
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536 #if HAVE_HDF5_INT2FLOAT_CONVERSIONS |
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537 // hdf5 currently doesn't support float/integer conversions |
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538 else |
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539 { |
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540 double max_val, min_val; |
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541 |
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542 if (m.all_integers (max_val, min_val)) |
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543 save_type_hid |
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544 = save_type_to_hdf5 (get_save_type (max_val, min_val)); |
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545 } |
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546 #endif /* HAVE_HDF5_INT2FLOAT_CONVERSIONS */ |
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547 |
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548 data_hid = H5Dcreate (loc_id, name, save_type_hid, space_hid, |
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549 H5P_DEFAULT); |
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550 if (data_hid < 0) |
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551 { |
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552 H5Sclose (space_hid); |
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553 return false; |
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554 } |
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555 |
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556 double *mtmp = m.fortran_vec (); |
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557 retval = H5Dwrite (data_hid, H5T_NATIVE_DOUBLE, H5S_ALL, H5S_ALL, |
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558 H5P_DEFAULT, (void*) mtmp) >= 0; |
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559 |
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560 H5Dclose (data_hid); |
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561 H5Sclose (space_hid); |
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562 return retval; |
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563 } |
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564 |
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565 bool |
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566 octave_matrix::load_hdf5 (hid_t loc_id, const char *name, |
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567 bool /* have_h5giterate_bug */) |
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568 { |
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569 bool retval = false; |
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570 hid_t data_hid = H5Dopen (loc_id, name); |
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571 hid_t space_id = H5Dget_space (data_hid); |
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572 |
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573 hsize_t rank = H5Sget_simple_extent_ndims (space_id); |
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574 |
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575 if (rank < 1) |
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576 { |
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577 H5Sclose (space_id); |
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578 H5Dclose (data_hid); |
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579 return false; |
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580 } |
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581 |
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582 OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank); |
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583 OCTAVE_LOCAL_BUFFER (hsize_t, maxdims, rank); |
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584 |
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585 H5Sget_simple_extent_dims (space_id, hdims, maxdims); |
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586 |
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587 dim_vector dv; |
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588 |
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589 // Octave uses column-major, while HDF5 uses row-major ordering |
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590 if (rank == 1) |
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591 { |
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592 dv.resize (2); |
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593 dv(0) = 1; |
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594 dv(1) = hdims[0]; |
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595 } |
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596 else |
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597 { |
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598 dv.resize (rank); |
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599 for (int i = 0, j = rank - 1; i < (int)rank; i++, j--) |
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600 dv(j) = hdims[i]; |
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601 } |
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602 |
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603 NDArray m (dv); |
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604 double *re = m.fortran_vec (); |
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605 if (H5Dread (data_hid, H5T_NATIVE_DOUBLE, H5S_ALL, H5S_ALL, |
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606 H5P_DEFAULT, (void *) re) >= 0) |
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|
607 { |
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608 retval = true; |
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609 matrix = m; |
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610 } |
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611 |
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612 H5Sclose (space_id); |
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613 H5Dclose (data_hid); |
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614 return retval; |
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|
615 } |
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616 #endif |
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617 |
|
4643
|
618 void |
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|
619 octave_matrix::print_raw (std::ostream& os, |
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|
620 bool pr_as_read_syntax) const |
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|
621 { |
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|
622 octave_print_internal (os, matrix, pr_as_read_syntax, |
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623 current_print_indent_level ()); |
|
|
624 } |
|
|
625 |
|
2376
|
626 /* |
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|
627 ;;; Local Variables: *** |
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|
628 ;;; mode: C++ *** |
|
|
629 ;;; End: *** |
|
|
630 */ |
