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2871
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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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5307
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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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2871
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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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5759
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57 static octave_base_value * |
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58 default_numeric_conversion_function (const octave_base_value& a) |
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2871
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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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5759
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65 octave_base_value::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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5759
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71 octave_base_value * |
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2871
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72 octave_bool_matrix::try_narrowing_conversion (void) |
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73 { |
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5759
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74 octave_base_value *retval = 0; |
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2871
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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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2871
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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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5775
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93 // FIXME |
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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 if (rows () > 0 && columns () > 0) |
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103 { |
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5781
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104 gripe_implicit_conversion ("Octave:array-as-scalar", |
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105 "bool matrix", "real scalar"); |
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4455
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106 |
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107 retval = matrix (0, 0); |
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108 } |
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2871
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109 else |
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110 gripe_invalid_conversion ("bool matrix", "real scalar"); |
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111 |
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112 return retval; |
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113 } |
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114 |
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115 Complex |
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116 octave_bool_matrix::complex_value (bool) const |
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117 { |
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4102
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118 double tmp = lo_ieee_nan_value (); |
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119 |
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120 Complex retval (tmp, tmp); |
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2871
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121 |
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4455
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122 if (rows () > 0 && columns () > 0) |
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123 { |
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5781
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124 gripe_implicit_conversion ("Octave:array-as-scalar", |
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125 "bool matrix", "complex scalar"); |
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126 |
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127 retval = matrix (0, 0); |
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128 } |
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2871
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129 else |
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130 gripe_invalid_conversion ("bool matrix", "complex scalar"); |
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131 |
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132 return retval; |
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133 } |
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134 |
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4457
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135 octave_value |
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5279
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136 octave_bool_matrix::convert_to_str_internal (bool pad, bool force, |
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137 char type) const |
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4457
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138 { |
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4844
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139 octave_value tmp = octave_value (array_value ()); |
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5279
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140 return tmp.convert_to_str (pad, force, type); |
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4457
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141 } |
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142 |
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4643
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143 void |
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144 octave_bool_matrix::print_raw (std::ostream& os, |
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145 bool pr_as_read_syntax) const |
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146 { |
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147 octave_print_internal (os, matrix, pr_as_read_syntax, |
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148 current_print_indent_level ()); |
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149 } |
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150 |
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4687
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151 bool |
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5958
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152 octave_bool_matrix::save_ascii (std::ostream& os, bool& /* infnan_warned */) |
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4687
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153 { |
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154 dim_vector d = dims (); |
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155 if (d.length () > 2) |
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156 { |
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157 NDArray tmp = array_value (); |
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158 os << "# ndims: " << d.length () << "\n"; |
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159 |
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5275
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160 for (int i = 0; i < d.length (); i++) |
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161 os << " " << d (i); |
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162 |
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163 os << "\n" << tmp; |
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164 } |
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165 else |
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166 { |
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167 // Keep this case, rather than use generic code above for backward |
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168 // compatiability. Makes load_ascii much more complex!! |
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169 os << "# rows: " << rows () << "\n" |
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170 << "# columns: " << columns () << "\n"; |
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171 |
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172 Matrix tmp = matrix_value (); |
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173 |
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174 os << tmp; |
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175 } |
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176 |
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177 return true; |
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178 } |
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179 |
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180 bool |
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181 octave_bool_matrix::load_ascii (std::istream& is) |
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182 { |
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183 bool success = true; |
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184 |
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5099
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185 string_vector keywords (2); |
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4687
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186 |
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5099
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187 keywords[0] = "ndims"; |
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188 keywords[1] = "rows"; |
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4687
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189 |
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5099
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190 std::string kw; |
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5275
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191 octave_idx_type val = 0; |
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4687
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192 |
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5099
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193 if (extract_keyword (is, keywords, kw, val, true)) |
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4687
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194 { |
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5099
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195 if (kw == "ndims") |
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196 { |
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5275
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197 int mdims = static_cast<int> (val); |
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4687
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198 |
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5099
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199 if (mdims >= 0) |
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4687
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200 { |
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5099
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201 dim_vector dv; |
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202 dv.resize (mdims); |
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203 |
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204 for (int i = 0; i < mdims; i++) |
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205 is >> dv(i); |
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206 |
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6717
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207 if (is) |
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208 { |
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209 boolNDArray btmp (dv); |
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210 |
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211 if (btmp.is_empty ()) |
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212 matrix = btmp; |
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213 else |
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214 { |
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215 NDArray tmp(dv); |
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216 is >> tmp; |
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5099
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217 |
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6717
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218 if (is) |
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219 { |
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220 for (octave_idx_type i = 0; i < btmp.nelem (); i++) |
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221 btmp.elem (i) = (tmp.elem (i) != 0.); |
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222 |
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223 matrix = btmp; |
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224 } |
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225 else |
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226 { |
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227 error ("load: failed to load matrix constant"); |
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228 success = false; |
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229 } |
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230 } |
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231 } |
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232 else |
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4687
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233 { |
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6717
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234 error ("load: failed to extract dimensions"); |
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235 success = false; |
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236 } |
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237 } |
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238 else |
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5099
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239 { |
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6717
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240 error ("load: failed to extract number of dimensions"); |
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5099
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241 success = false; |
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242 } |
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4687
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243 } |
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5099
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244 else if (kw == "rows") |
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4687
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245 { |
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5275
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246 octave_idx_type nr = val; |
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247 octave_idx_type nc = 0; |
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5099
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248 |
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249 if (nr >= 0 && extract_keyword (is, "columns", nc) && nc >= 0) |
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250 { |
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251 if (nr > 0 && nc > 0) |
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252 { |
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253 Matrix tmp (nr, nc); |
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254 is >> tmp; |
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6717
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255 if (is) |
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256 { |
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257 boolMatrix btmp (nr, nc); |
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258 for (octave_idx_type j = 0; j < nc; j++) |
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259 for (octave_idx_type i = 0; i < nr; i++) |
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260 btmp.elem (i,j) = (tmp.elem (i, j) != 0.); |
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261 |
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262 matrix = btmp; |
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263 } |
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264 else |
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5099
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265 { |
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266 error ("load: failed to load matrix constant"); |
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267 success = false; |
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268 } |
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269 } |
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270 else if (nr == 0 || nc == 0) |
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271 matrix = boolMatrix (nr, nc); |
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272 else |
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273 panic_impossible (); |
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274 } |
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275 else |
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276 { |
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277 error ("load: failed to extract number of rows and columns"); |
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278 success = false; |
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279 } |
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4687
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280 } |
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5099
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281 else |
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282 panic_impossible (); |
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283 } |
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284 else |
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285 { |
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286 error ("load: failed to extract number of rows and columns"); |
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287 success = false; |
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4687
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288 } |
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289 |
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290 return success; |
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291 } |
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292 |
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293 bool |
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294 octave_bool_matrix::save_binary (std::ostream& os, bool& /* save_as_floats */) |
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295 { |
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296 |
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297 dim_vector d = dims (); |
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298 if (d.length() < 1) |
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299 return false; |
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300 |
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301 // Use negative value for ndims to differentiate with old format!! |
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5828
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302 int32_t tmp = - d.length(); |
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5760
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303 os.write (reinterpret_cast<char *> (&tmp), 4); |
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5275
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304 for (int i = 0; i < d.length (); i++) |
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4687
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305 { |
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306 tmp = d(i); |
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5760
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307 os.write (reinterpret_cast<char *> (&tmp), 4); |
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4687
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308 } |
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309 |
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310 boolNDArray m = bool_array_value (); |
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311 bool *mtmp = m.fortran_vec (); |
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5275
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312 octave_idx_type nel = m.nelem (); |
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4687
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313 OCTAVE_LOCAL_BUFFER (char, htmp, nel); |
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314 |
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5275
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315 for (octave_idx_type i = 0; i < nel; i++) |
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4687
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316 htmp[i] = (mtmp[i] ? 1 : 0); |
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317 |
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318 os.write (htmp, nel); |
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319 |
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320 return true; |
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321 } |
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322 |
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323 bool |
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324 octave_bool_matrix::load_binary (std::istream& is, bool swap, |
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325 oct_mach_info::float_format /* fmt */) |
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326 { |
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5828
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327 int32_t mdims; |
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5760
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328 if (! is.read (reinterpret_cast<char *> (&mdims), 4)) |
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4687
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329 return false; |
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330 if (swap) |
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4944
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331 swap_bytes<4> (&mdims); |
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4687
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332 if (mdims >= 0) |
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333 return false; |
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334 |
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335 // mdims is negative for consistency with other matrices, where it is |
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336 // negative to allow the positive value to be used for rows/cols for |
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337 // backward compatibility |
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338 mdims = - mdims; |
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5828
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339 int32_t di; |
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4687
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340 dim_vector dv; |
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341 dv.resize (mdims); |
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342 |
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343 for (int i = 0; i < mdims; i++) |
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344 { |
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5760
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345 if (! is.read (reinterpret_cast<char *> (&di), 4)) |
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4687
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346 return false; |
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347 if (swap) |
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4944
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348 swap_bytes<4> (&di); |
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4687
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349 dv(i) = di; |
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350 } |
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351 |
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5157
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352 // Convert an array with a single dimension to be a row vector. |
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353 // Octave should never write files like this, other software |
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354 // might. |
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355 |
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356 if (mdims == 1) |
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357 { |
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358 mdims = 2; |
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359 dv.resize (mdims); |
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360 dv(1) = dv(0); |
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361 dv(0) = 1; |
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362 } |
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363 |
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5275
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364 octave_idx_type nel = dv.numel (); |
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4687
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365 OCTAVE_LOCAL_BUFFER (char, htmp, nel); |
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366 if (! is.read (htmp, nel)) |
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367 return false; |
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368 boolNDArray m(dv); |
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369 bool *mtmp = m.fortran_vec (); |
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5275
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370 for (octave_idx_type i = 0; i < nel; i++) |
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4687
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371 mtmp[i] = (htmp[i] ? 1 : 0); |
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372 matrix = m; |
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373 |
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374 return true; |
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375 } |
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376 |
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377 #if defined (HAVE_HDF5) |
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4944
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378 |
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4687
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379 bool |
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380 octave_bool_matrix::save_hdf5 (hid_t loc_id, const char *name, |
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381 bool /* save_as_floats */) |
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382 { |
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4837
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383 dim_vector dv = dims (); |
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384 int empty = save_hdf5_empty (loc_id, name, dv); |
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385 if (empty) |
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4805
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386 return (empty > 0); |
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387 |
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4837
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388 int rank = dv.length (); |
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4687
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389 hid_t space_hid = -1, data_hid = -1; |
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390 bool retval = true; |
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391 boolNDArray m = bool_array_value (); |
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392 |
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4805
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393 OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank); |
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394 |
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4687
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395 // Octave uses column-major, while HDF5 uses row-major ordering |
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4805
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396 for (int i = 0; i < rank; i++) |
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4837
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397 hdims[i] = dv (rank-i-1); |
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4687
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398 |
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4815
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399 space_hid = H5Screate_simple (rank, hdims, 0); |
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4687
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400 if (space_hid < 0) return false; |
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401 |
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402 data_hid = H5Dcreate (loc_id, name, H5T_NATIVE_HBOOL, space_hid, |
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403 H5P_DEFAULT); |
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404 if (data_hid < 0) |
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405 { |
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406 H5Sclose (space_hid); |
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407 return false; |
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408 } |
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409 |
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5275
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410 octave_idx_type nel = m.nelem (); |
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4687
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411 bool *mtmp = m.fortran_vec (); |
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6276
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412 OCTAVE_LOCAL_BUFFER (hbool_t, htmp, nel); |
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4687
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413 |
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5275
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414 for (octave_idx_type i = 0; i < nel; i++) |
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4687
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415 htmp[i] = mtmp[i]; |
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416 |
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417 retval = H5Dwrite (data_hid, H5T_NATIVE_HBOOL, H5S_ALL, H5S_ALL, |
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4815
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418 H5P_DEFAULT, htmp) >= 0; |
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4687
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419 |
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420 H5Dclose (data_hid); |
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421 H5Sclose (space_hid); |
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4837
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422 |
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4687
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423 return retval; |
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424 } |
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425 |
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426 bool |
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427 octave_bool_matrix::load_hdf5 (hid_t loc_id, const char *name, |
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428 bool /* have_h5giterate_bug */) |
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429 { |
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4837
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430 bool retval = false; |
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431 |
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4805
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432 dim_vector dv; |
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433 int empty = load_hdf5_empty (loc_id, name, dv); |
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434 if (empty > 0) |
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435 matrix.resize(dv); |
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4837
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436 if (empty) |
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437 return (empty > 0); |
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4805
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438 |
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4687
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439 hid_t data_hid = H5Dopen (loc_id, name); |
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440 hid_t space_id = H5Dget_space (data_hid); |
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441 |
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442 hsize_t rank = H5Sget_simple_extent_ndims (space_id); |
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443 |
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444 if (rank < 1) |
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445 { |
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446 H5Dclose (data_hid); |
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447 return false; |
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448 } |
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449 |
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450 OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank); |
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451 OCTAVE_LOCAL_BUFFER (hsize_t, maxdims, rank); |
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|
452 |
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453 H5Sget_simple_extent_dims (space_id, hdims, maxdims); |
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454 |
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455 // Octave uses column-major, while HDF5 uses row-major ordering |
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456 if (rank == 1) |
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457 { |
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458 dv.resize (2); |
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459 dv(0) = 1; |
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460 dv(1) = hdims[0]; |
|
|
461 } |
|
|
462 else |
|
|
463 { |
|
|
464 dv.resize (rank); |
|
4815
|
465 for (hsize_t i = 0, j = rank - 1; i < rank; i++, j--) |
|
4687
|
466 dv(j) = hdims[i]; |
|
|
467 } |
|
|
468 |
|
5275
|
469 octave_idx_type nel = dv.numel (); |
|
6276
|
470 OCTAVE_LOCAL_BUFFER (hbool_t, htmp, nel); |
|
4687
|
471 if (H5Dread (data_hid, H5T_NATIVE_HBOOL, H5S_ALL, H5S_ALL, |
|
6276
|
472 H5P_DEFAULT, &htmp[0]) >= 0) |
|
4687
|
473 { |
|
|
474 retval = true; |
|
|
475 |
|
|
476 boolNDArray btmp (dv); |
|
5275
|
477 for (octave_idx_type i = 0; i < nel; i++) |
|
4687
|
478 btmp.elem (i) = htmp[i]; |
|
|
479 |
|
|
480 matrix = btmp; |
|
|
481 } |
|
|
482 |
|
|
483 H5Dclose (data_hid); |
|
4837
|
484 |
|
4687
|
485 return retval; |
|
|
486 } |
|
4944
|
487 |
|
4687
|
488 #endif |
|
|
489 |
|
5900
|
490 mxArray * |
|
|
491 octave_bool_matrix::as_mxArray (void) const |
|
|
492 { |
|
|
493 mxArray *retval = new mxArray (mxLOGICAL_CLASS, dims (), mxREAL); |
|
|
494 |
|
|
495 bool *pr = static_cast<bool *> (retval->get_data ()); |
|
|
496 |
|
6686
|
497 mwSize nel = numel (); |
|
5900
|
498 |
|
|
499 const bool *p = matrix.data (); |
|
|
500 |
|
6686
|
501 for (mwIndex i = 0; i < nel; i++) |
|
5900
|
502 pr[i] = p[i]; |
|
|
503 |
|
|
504 return retval; |
|
|
505 } |
|
|
506 |
|
2871
|
507 /* |
|
|
508 ;;; Local Variables: *** |
|
|
509 ;;; mode: C++ *** |
|
|
510 ;;; End: *** |
|
|
511 */ |
