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1 /* |
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2 |
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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, Inc., 51 Franklin Street, Fifth Floor, Boston, MA |
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20 02110-1301, USA. |
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21 |
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22 */ |
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23 |
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24 #ifdef HAVE_CONFIG_H |
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25 #include <config.h> |
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26 #endif |
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27 |
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3503
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28 #include <iostream> |
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4726
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29 #include <vector> |
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2901
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30 |
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2871
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31 #include "lo-ieee.h" |
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32 #include "mx-base.h" |
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33 |
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34 #include "gripes.h" |
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35 #include "oct-obj.h" |
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36 #include "ops.h" |
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3219
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37 #include "ov-base.h" |
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38 #include "ov-base-mat.h" |
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39 #include "ov-base-mat.cc" |
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2871
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40 #include "ov-bool.h" |
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41 #include "ov-bool-mat.h" |
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42 #include "ov-re-mat.h" |
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43 #include "pr-output.h" |
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44 |
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4687
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45 #include "byte-swap.h" |
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46 #include "ls-oct-ascii.h" |
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47 #include "ls-hdf5.h" |
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48 #include "ls-utils.h" |
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49 |
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4513
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50 template class octave_base_matrix<boolNDArray>; |
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2871
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51 |
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3219
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52 DEFINE_OCTAVE_ALLOCATOR (octave_bool_matrix); |
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53 |
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4612
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54 DEFINE_OV_TYPEID_FUNCTIONS_AND_DATA (octave_bool_matrix, |
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55 "bool matrix", "logical"); |
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56 |
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57 static octave_value * |
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58 default_numeric_conversion_function (const octave_value& a) |
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59 { |
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60 CAST_CONV_ARG (const octave_bool_matrix&); |
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61 |
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4668
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62 return new octave_matrix (NDArray (v.bool_array_value ())); |
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2871
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63 } |
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64 |
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65 type_conv_fcn |
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66 octave_bool_matrix::numeric_conversion_function (void) const |
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67 { |
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68 return default_numeric_conversion_function; |
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69 } |
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70 |
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71 octave_value * |
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72 octave_bool_matrix::try_narrowing_conversion (void) |
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73 { |
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74 octave_value *retval = 0; |
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75 |
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4513
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76 if (matrix.ndims () == 2) |
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77 { |
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78 boolMatrix bm = matrix.matrix_value (); |
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79 |
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5275
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80 octave_idx_type nr = bm.rows (); |
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81 octave_idx_type nc = bm.cols (); |
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4513
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82 |
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83 if (nr == 1 && nc == 1) |
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84 retval = new octave_bool (bm (0, 0)); |
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85 } |
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86 |
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87 return retval; |
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88 } |
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89 |
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90 bool |
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91 octave_bool_matrix::valid_as_scalar_index (void) const |
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92 { |
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93 // XXX FIXME XXX |
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94 return false; |
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95 } |
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96 |
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97 double |
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98 octave_bool_matrix::double_value (bool) const |
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99 { |
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4102
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100 double retval = lo_ieee_nan_value (); |
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101 |
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4455
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102 // XXX FIXME XXX -- maybe this should be a function, valid_as_scalar() |
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103 if (rows () > 0 && columns () > 0) |
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104 { |
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105 // XXX FIXME XXX -- is warn_fortran_indexing the right variable here? |
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106 if (Vwarn_fortran_indexing) |
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107 gripe_implicit_conversion ("bool matrix", "real scalar"); |
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108 |
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109 retval = matrix (0, 0); |
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110 } |
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111 else |
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112 gripe_invalid_conversion ("bool matrix", "real scalar"); |
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113 |
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114 return retval; |
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115 } |
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116 |
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117 Complex |
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118 octave_bool_matrix::complex_value (bool) const |
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119 { |
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4102
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120 double tmp = lo_ieee_nan_value (); |
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121 |
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122 Complex retval (tmp, tmp); |
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123 |
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4455
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124 // XXX FIXME XXX -- maybe this should be a function, valid_as_scalar() |
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125 if (rows () > 0 && columns () > 0) |
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126 { |
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127 // XXX FIXME XXX -- is warn_fortran_indexing the right variable here? |
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128 if (Vwarn_fortran_indexing) |
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129 gripe_implicit_conversion ("bool matrix", "complex scalar"); |
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130 |
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131 retval = matrix (0, 0); |
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132 } |
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133 else |
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134 gripe_invalid_conversion ("bool matrix", "complex scalar"); |
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135 |
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136 return retval; |
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137 } |
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138 |
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4457
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139 octave_value |
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5279
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140 octave_bool_matrix::convert_to_str_internal (bool pad, bool force, |
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141 char type) const |
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4457
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142 { |
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4844
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143 octave_value tmp = octave_value (array_value ()); |
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5279
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144 return tmp.convert_to_str (pad, force, type); |
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4457
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145 } |
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146 |
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4643
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147 void |
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148 octave_bool_matrix::print_raw (std::ostream& os, |
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149 bool pr_as_read_syntax) const |
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150 { |
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151 octave_print_internal (os, matrix, pr_as_read_syntax, |
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152 current_print_indent_level ()); |
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153 } |
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154 |
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4687
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155 bool |
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156 octave_bool_matrix::save_ascii (std::ostream& os, bool& /* infnan_warned */, |
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157 bool /* strip_nan_and_inf */) |
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158 { |
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159 dim_vector d = dims (); |
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160 if (d.length () > 2) |
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161 { |
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162 NDArray tmp = array_value (); |
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163 os << "# ndims: " << d.length () << "\n"; |
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164 |
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5275
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165 for (int i = 0; i < d.length (); i++) |
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166 os << " " << d (i); |
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167 |
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168 os << "\n" << tmp; |
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169 } |
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170 else |
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171 { |
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172 // Keep this case, rather than use generic code above for backward |
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173 // compatiability. Makes load_ascii much more complex!! |
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174 os << "# rows: " << rows () << "\n" |
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175 << "# columns: " << columns () << "\n"; |
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176 |
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177 Matrix tmp = matrix_value (); |
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178 |
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179 os << tmp; |
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180 } |
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181 |
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182 return true; |
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183 } |
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184 |
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185 bool |
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186 octave_bool_matrix::load_ascii (std::istream& is) |
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187 { |
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188 bool success = true; |
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189 |
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5099
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190 string_vector keywords (2); |
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4687
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191 |
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5099
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192 keywords[0] = "ndims"; |
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193 keywords[1] = "rows"; |
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194 |
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5099
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195 std::string kw; |
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5275
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196 octave_idx_type val = 0; |
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4687
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197 |
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5099
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198 if (extract_keyword (is, keywords, kw, val, true)) |
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4687
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199 { |
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5099
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200 if (kw == "ndims") |
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201 { |
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5275
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202 int mdims = static_cast<int> (val); |
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203 |
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5099
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204 if (mdims >= 0) |
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4687
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205 { |
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5099
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206 dim_vector dv; |
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207 dv.resize (mdims); |
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208 |
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209 for (int i = 0; i < mdims; i++) |
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210 is >> dv(i); |
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211 |
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212 NDArray tmp(dv); |
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4687
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213 is >> tmp; |
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5099
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214 |
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215 if (!is) |
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4687
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216 { |
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217 error ("load: failed to load matrix constant"); |
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218 success = false; |
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219 } |
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220 |
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5099
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221 boolNDArray btmp (dv); |
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5275
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222 for (octave_idx_type i = 0; i < btmp.nelem (); i++) |
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5099
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223 btmp.elem (i) = (tmp.elem (i) != 0.); |
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224 |
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225 matrix = btmp; |
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226 } |
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227 else |
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5099
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228 { |
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229 error ("load: failed to extract number of rows and columns"); |
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230 success = false; |
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231 } |
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4687
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232 } |
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5099
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233 else if (kw == "rows") |
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234 { |
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5275
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235 octave_idx_type nr = val; |
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236 octave_idx_type nc = 0; |
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5099
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237 |
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238 if (nr >= 0 && extract_keyword (is, "columns", nc) && nc >= 0) |
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239 { |
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240 if (nr > 0 && nc > 0) |
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241 { |
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242 Matrix tmp (nr, nc); |
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243 is >> tmp; |
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244 if (!is) |
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245 { |
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246 error ("load: failed to load matrix constant"); |
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247 success = false; |
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248 } |
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249 |
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5275
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250 boolMatrix btmp (nr, nc); |
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251 for (octave_idx_type j = 0; j < nc; j++) |
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252 for (octave_idx_type i = 0; i < nr; i++) |
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5099
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253 btmp.elem (i,j) = (tmp.elem (i, j) != 0.); |
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254 |
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255 matrix = btmp; |
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256 } |
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257 else if (nr == 0 || nc == 0) |
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258 matrix = boolMatrix (nr, nc); |
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259 else |
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260 panic_impossible (); |
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261 } |
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262 else |
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263 { |
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264 error ("load: failed to extract number of rows and columns"); |
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265 success = false; |
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266 } |
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4687
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267 } |
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5099
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268 else |
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269 panic_impossible (); |
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270 } |
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271 else |
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272 { |
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273 error ("load: failed to extract number of rows and columns"); |
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274 success = false; |
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4687
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275 } |
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276 |
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277 return success; |
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278 } |
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279 |
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280 bool |
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281 octave_bool_matrix::save_binary (std::ostream& os, bool& /* save_as_floats */) |
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282 { |
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283 |
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284 dim_vector d = dims (); |
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285 if (d.length() < 1) |
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286 return false; |
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287 |
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288 // Use negative value for ndims to differentiate with old format!! |
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289 FOUR_BYTE_INT tmp = - d.length(); |
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290 os.write (X_CAST (char *, &tmp), 4); |
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5275
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291 for (int i = 0; i < d.length (); i++) |
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4687
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292 { |
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293 tmp = d(i); |
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294 os.write (X_CAST (char *, &tmp), 4); |
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295 } |
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296 |
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297 boolNDArray m = bool_array_value (); |
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298 bool *mtmp = m.fortran_vec (); |
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5275
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299 octave_idx_type nel = m.nelem (); |
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4687
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300 OCTAVE_LOCAL_BUFFER (char, htmp, nel); |
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301 |
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5275
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302 for (octave_idx_type i = 0; i < nel; i++) |
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4687
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303 htmp[i] = (mtmp[i] ? 1 : 0); |
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304 |
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305 os.write (htmp, nel); |
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306 |
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307 return true; |
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308 } |
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309 |
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310 bool |
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311 octave_bool_matrix::load_binary (std::istream& is, bool swap, |
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312 oct_mach_info::float_format /* fmt */) |
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313 { |
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314 FOUR_BYTE_INT mdims; |
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315 if (! is.read (X_CAST (char *, &mdims), 4)) |
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316 return false; |
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317 if (swap) |
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4944
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318 swap_bytes<4> (&mdims); |
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4687
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319 if (mdims >= 0) |
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320 return false; |
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321 |
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322 // mdims is negative for consistency with other matrices, where it is |
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323 // negative to allow the positive value to be used for rows/cols for |
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324 // backward compatibility |
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325 mdims = - mdims; |
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326 FOUR_BYTE_INT di; |
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327 dim_vector dv; |
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328 dv.resize (mdims); |
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329 |
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330 for (int i = 0; i < mdims; i++) |
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331 { |
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332 if (! is.read (X_CAST (char *, &di), 4)) |
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333 return false; |
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334 if (swap) |
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4944
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335 swap_bytes<4> (&di); |
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4687
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336 dv(i) = di; |
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337 } |
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338 |
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5157
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339 // Convert an array with a single dimension to be a row vector. |
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340 // Octave should never write files like this, other software |
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341 // might. |
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342 |
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343 if (mdims == 1) |
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344 { |
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345 mdims = 2; |
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346 dv.resize (mdims); |
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347 dv(1) = dv(0); |
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348 dv(0) = 1; |
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349 } |
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350 |
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5275
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351 octave_idx_type nel = dv.numel (); |
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4687
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352 OCTAVE_LOCAL_BUFFER (char, htmp, nel); |
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353 if (! is.read (htmp, nel)) |
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354 return false; |
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355 boolNDArray m(dv); |
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356 bool *mtmp = m.fortran_vec (); |
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5275
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357 for (octave_idx_type i = 0; i < nel; i++) |
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4687
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358 mtmp[i] = (htmp[i] ? 1 : 0); |
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359 matrix = m; |
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360 |
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361 return true; |
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362 } |
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363 |
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364 #if defined (HAVE_HDF5) |
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4944
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365 |
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4687
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366 bool |
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367 octave_bool_matrix::save_hdf5 (hid_t loc_id, const char *name, |
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368 bool /* save_as_floats */) |
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369 { |
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4837
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370 dim_vector dv = dims (); |
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371 int empty = save_hdf5_empty (loc_id, name, dv); |
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372 if (empty) |
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4805
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373 return (empty > 0); |
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374 |
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4837
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375 int rank = dv.length (); |
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4687
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376 hid_t space_hid = -1, data_hid = -1; |
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377 bool retval = true; |
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378 boolNDArray m = bool_array_value (); |
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379 |
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4805
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380 OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank); |
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381 |
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4687
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382 // Octave uses column-major, while HDF5 uses row-major ordering |
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4805
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383 for (int i = 0; i < rank; i++) |
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4837
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384 hdims[i] = dv (rank-i-1); |
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4687
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385 |
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4815
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386 space_hid = H5Screate_simple (rank, hdims, 0); |
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4687
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387 if (space_hid < 0) return false; |
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388 |
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389 data_hid = H5Dcreate (loc_id, name, H5T_NATIVE_HBOOL, space_hid, |
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390 H5P_DEFAULT); |
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391 if (data_hid < 0) |
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392 { |
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393 H5Sclose (space_hid); |
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394 return false; |
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395 } |
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396 |
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5275
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397 octave_idx_type nel = m.nelem (); |
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4687
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398 bool *mtmp = m.fortran_vec (); |
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399 hbool_t htmp[nel]; |
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400 |
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5275
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401 for (octave_idx_type i = 0; i < nel; i++) |
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4687
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402 htmp[i] = mtmp[i]; |
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403 |
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404 retval = H5Dwrite (data_hid, H5T_NATIVE_HBOOL, H5S_ALL, H5S_ALL, |
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4815
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405 H5P_DEFAULT, htmp) >= 0; |
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4687
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406 |
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407 H5Dclose (data_hid); |
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408 H5Sclose (space_hid); |
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4837
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409 |
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4687
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410 return retval; |
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411 } |
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412 |
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413 bool |
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414 octave_bool_matrix::load_hdf5 (hid_t loc_id, const char *name, |
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415 bool /* have_h5giterate_bug */) |
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416 { |
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4837
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417 bool retval = false; |
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418 |
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4805
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419 dim_vector dv; |
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420 int empty = load_hdf5_empty (loc_id, name, dv); |
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421 if (empty > 0) |
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422 matrix.resize(dv); |
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4837
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423 if (empty) |
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424 return (empty > 0); |
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4805
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425 |
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4687
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426 hid_t data_hid = H5Dopen (loc_id, name); |
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427 hid_t space_id = H5Dget_space (data_hid); |
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428 |
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429 hsize_t rank = H5Sget_simple_extent_ndims (space_id); |
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430 |
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431 if (rank < 1) |
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432 { |
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433 H5Dclose (data_hid); |
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434 return false; |
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435 } |
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436 |
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437 OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank); |
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438 OCTAVE_LOCAL_BUFFER (hsize_t, maxdims, rank); |
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439 |
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440 H5Sget_simple_extent_dims (space_id, hdims, maxdims); |
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441 |
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442 // Octave uses column-major, while HDF5 uses row-major ordering |
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443 if (rank == 1) |
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444 { |
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445 dv.resize (2); |
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446 dv(0) = 1; |
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447 dv(1) = hdims[0]; |
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448 } |
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449 else |
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450 { |
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451 dv.resize (rank); |
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4815
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452 for (hsize_t i = 0, j = rank - 1; i < rank; i++, j--) |
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4687
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453 dv(j) = hdims[i]; |
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454 } |
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455 |
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5275
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456 octave_idx_type nel = dv.numel (); |
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4687
|
457 hbool_t htmp[nel]; |
|
|
458 if (H5Dread (data_hid, H5T_NATIVE_HBOOL, H5S_ALL, H5S_ALL, |
|
4815
|
459 H5P_DEFAULT, htmp) >= 0) |
|
4687
|
460 { |
|
|
461 retval = true; |
|
|
462 |
|
|
463 boolNDArray btmp (dv); |
|
5275
|
464 for (octave_idx_type i = 0; i < nel; i++) |
|
4687
|
465 btmp.elem (i) = htmp[i]; |
|
|
466 |
|
|
467 matrix = btmp; |
|
|
468 } |
|
|
469 |
|
|
470 H5Dclose (data_hid); |
|
4837
|
471 |
|
4687
|
472 return retval; |
|
|
473 } |
|
4944
|
474 |
|
4687
|
475 #endif |
|
|
476 |
|
2871
|
477 /* |
|
|
478 ;;; Local Variables: *** |
|
|
479 ;;; mode: C++ *** |
|
|
480 ;;; End: *** |
|
|
481 */ |
