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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 3 of the License, or (at your |
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10 option) any 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, see |
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19 <http://www.gnu.org/licenses/>. |
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20 |
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21 */ |
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22 |
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23 #ifdef HAVE_CONFIG_H |
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24 #include <config.h> |
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25 #endif |
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26 |
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3503
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27 #include <iostream> |
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4726
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28 #include <vector> |
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2901
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29 |
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30 #include "lo-ieee.h" |
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31 #include "mx-base.h" |
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32 |
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33 #include "gripes.h" |
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34 #include "oct-obj.h" |
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35 #include "ops.h" |
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3219
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36 #include "ov-base.h" |
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37 #include "ov-base-mat.h" |
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38 #include "ov-base-mat.cc" |
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39 #include "ov-bool.h" |
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40 #include "ov-bool-mat.h" |
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41 #include "ov-re-mat.h" |
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42 #include "pr-output.h" |
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43 |
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4687
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44 #include "byte-swap.h" |
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45 #include "ls-oct-ascii.h" |
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46 #include "ls-hdf5.h" |
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47 #include "ls-utils.h" |
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48 |
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4513
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49 template class octave_base_matrix<boolNDArray>; |
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50 |
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51 DEFINE_OCTAVE_ALLOCATOR (octave_bool_matrix); |
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52 |
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4612
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53 DEFINE_OV_TYPEID_FUNCTIONS_AND_DATA (octave_bool_matrix, |
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54 "bool matrix", "logical"); |
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55 |
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56 static octave_base_value * |
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57 default_numeric_conversion_function (const octave_base_value& a) |
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58 { |
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59 CAST_CONV_ARG (const octave_bool_matrix&); |
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60 |
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61 return new octave_matrix (NDArray (v.bool_array_value ())); |
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62 } |
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63 |
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64 octave_base_value::type_conv_fcn |
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65 octave_bool_matrix::numeric_conversion_function (void) const |
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66 { |
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67 return default_numeric_conversion_function; |
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68 } |
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69 |
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70 octave_base_value * |
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71 octave_bool_matrix::try_narrowing_conversion (void) |
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72 { |
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73 octave_base_value *retval = 0; |
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74 |
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4513
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75 if (matrix.ndims () == 2) |
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76 { |
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77 boolMatrix bm = matrix.matrix_value (); |
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78 |
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79 octave_idx_type nr = bm.rows (); |
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80 octave_idx_type nc = bm.cols (); |
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4513
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81 |
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82 if (nr == 1 && nc == 1) |
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83 retval = new octave_bool (bm (0, 0)); |
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84 } |
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85 |
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86 return retval; |
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87 } |
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88 |
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89 bool |
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90 octave_bool_matrix::valid_as_scalar_index (void) const |
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91 { |
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92 // FIXME |
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93 return false; |
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94 } |
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95 |
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96 double |
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97 octave_bool_matrix::double_value (bool) const |
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98 { |
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99 double retval = lo_ieee_nan_value (); |
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100 |
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101 if (rows () > 0 && columns () > 0) |
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102 { |
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103 gripe_implicit_conversion ("Octave:array-as-scalar", |
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104 "bool matrix", "real scalar"); |
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105 |
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106 retval = matrix (0, 0); |
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107 } |
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108 else |
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109 gripe_invalid_conversion ("bool matrix", "real scalar"); |
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110 |
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111 return retval; |
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112 } |
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113 |
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114 Complex |
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115 octave_bool_matrix::complex_value (bool) const |
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116 { |
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117 double tmp = lo_ieee_nan_value (); |
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118 |
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119 Complex retval (tmp, tmp); |
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120 |
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121 if (rows () > 0 && columns () > 0) |
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122 { |
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123 gripe_implicit_conversion ("Octave:array-as-scalar", |
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124 "bool 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 ("bool 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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134 octave_value |
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135 octave_bool_matrix::convert_to_str_internal (bool pad, bool force, |
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136 char type) const |
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137 { |
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138 octave_value tmp = octave_value (array_value ()); |
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139 return tmp.convert_to_str (pad, force, type); |
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4457
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140 } |
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141 |
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142 void |
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143 octave_bool_matrix::print_raw (std::ostream& os, |
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144 bool pr_as_read_syntax) const |
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145 { |
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146 octave_print_internal (os, matrix, pr_as_read_syntax, |
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147 current_print_indent_level ()); |
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148 } |
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149 |
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150 bool |
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6974
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151 octave_bool_matrix::save_ascii (std::ostream& os) |
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152 { |
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153 dim_vector d = dims (); |
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154 if (d.length () > 2) |
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155 { |
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156 NDArray tmp = array_value (); |
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157 os << "# ndims: " << d.length () << "\n"; |
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158 |
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159 for (int i = 0; i < d.length (); i++) |
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160 os << " " << d (i); |
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161 |
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162 os << "\n" << tmp; |
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163 } |
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164 else |
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165 { |
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166 // Keep this case, rather than use generic code above for backward |
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167 // compatiability. Makes load_ascii much more complex!! |
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168 os << "# rows: " << rows () << "\n" |
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169 << "# columns: " << columns () << "\n"; |
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170 |
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171 Matrix tmp = matrix_value (); |
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172 |
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173 os << tmp; |
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174 } |
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175 |
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176 return true; |
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177 } |
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178 |
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179 bool |
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180 octave_bool_matrix::load_ascii (std::istream& is) |
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181 { |
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182 bool success = true; |
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183 |
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184 string_vector keywords (2); |
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185 |
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186 keywords[0] = "ndims"; |
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187 keywords[1] = "rows"; |
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188 |
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189 std::string kw; |
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190 octave_idx_type val = 0; |
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191 |
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192 if (extract_keyword (is, keywords, kw, val, true)) |
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193 { |
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194 if (kw == "ndims") |
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195 { |
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196 int mdims = static_cast<int> (val); |
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197 |
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198 if (mdims >= 0) |
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199 { |
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200 dim_vector dv; |
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201 dv.resize (mdims); |
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202 |
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203 for (int i = 0; i < mdims; i++) |
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204 is >> dv(i); |
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205 |
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6717
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206 if (is) |
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207 { |
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208 boolNDArray btmp (dv); |
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209 |
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210 if (btmp.is_empty ()) |
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211 matrix = btmp; |
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212 else |
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213 { |
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214 NDArray tmp(dv); |
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215 is >> tmp; |
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216 |
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217 if (is) |
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218 { |
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219 for (octave_idx_type i = 0; i < btmp.nelem (); i++) |
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220 btmp.elem (i) = (tmp.elem (i) != 0.); |
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221 |
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222 matrix = btmp; |
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223 } |
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224 else |
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225 { |
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226 error ("load: failed to load matrix constant"); |
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227 success = false; |
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228 } |
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229 } |
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230 } |
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231 else |
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232 { |
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233 error ("load: failed to extract dimensions"); |
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234 success = false; |
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235 } |
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236 } |
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237 else |
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5099
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238 { |
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239 error ("load: failed to extract number of dimensions"); |
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240 success = false; |
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241 } |
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242 } |
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5099
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243 else if (kw == "rows") |
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244 { |
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245 octave_idx_type nr = val; |
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246 octave_idx_type nc = 0; |
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247 |
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248 if (nr >= 0 && extract_keyword (is, "columns", nc) && nc >= 0) |
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249 { |
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250 if (nr > 0 && nc > 0) |
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251 { |
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252 Matrix tmp (nr, nc); |
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253 is >> tmp; |
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254 if (is) |
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255 { |
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256 boolMatrix btmp (nr, nc); |
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257 for (octave_idx_type j = 0; j < nc; j++) |
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258 for (octave_idx_type i = 0; i < nr; i++) |
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259 btmp.elem (i,j) = (tmp.elem (i, j) != 0.); |
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260 |
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261 matrix = btmp; |
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262 } |
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263 else |
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5099
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264 { |
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265 error ("load: failed to load matrix constant"); |
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266 success = false; |
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267 } |
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268 } |
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269 else if (nr == 0 || nc == 0) |
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270 matrix = boolMatrix (nr, nc); |
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271 else |
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272 panic_impossible (); |
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273 } |
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274 else |
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275 { |
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276 error ("load: failed to extract number of rows and columns"); |
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277 success = false; |
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278 } |
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279 } |
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5099
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280 else |
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281 panic_impossible (); |
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282 } |
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283 else |
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284 { |
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285 error ("load: failed to extract number of rows and columns"); |
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286 success = false; |
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4687
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287 } |
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288 |
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289 return success; |
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290 } |
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291 |
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292 bool |
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293 octave_bool_matrix::save_binary (std::ostream& os, bool& /* save_as_floats */) |
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294 { |
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295 |
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296 dim_vector d = dims (); |
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297 if (d.length() < 1) |
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298 return false; |
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299 |
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300 // Use negative value for ndims to differentiate with old format!! |
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301 int32_t tmp = - d.length(); |
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5760
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302 os.write (reinterpret_cast<char *> (&tmp), 4); |
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303 for (int i = 0; i < d.length (); i++) |
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304 { |
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305 tmp = d(i); |
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306 os.write (reinterpret_cast<char *> (&tmp), 4); |
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307 } |
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308 |
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309 boolNDArray m = bool_array_value (); |
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310 bool *mtmp = m.fortran_vec (); |
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5275
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311 octave_idx_type nel = m.nelem (); |
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4687
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312 OCTAVE_LOCAL_BUFFER (char, htmp, nel); |
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313 |
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5275
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314 for (octave_idx_type i = 0; i < nel; i++) |
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4687
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315 htmp[i] = (mtmp[i] ? 1 : 0); |
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316 |
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317 os.write (htmp, nel); |
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318 |
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319 return true; |
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320 } |
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321 |
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322 bool |
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323 octave_bool_matrix::load_binary (std::istream& is, bool swap, |
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324 oct_mach_info::float_format /* fmt */) |
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325 { |
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5828
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326 int32_t mdims; |
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5760
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327 if (! is.read (reinterpret_cast<char *> (&mdims), 4)) |
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4687
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328 return false; |
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329 if (swap) |
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4944
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330 swap_bytes<4> (&mdims); |
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4687
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331 if (mdims >= 0) |
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332 return false; |
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333 |
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334 // mdims is negative for consistency with other matrices, where it is |
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335 // negative to allow the positive value to be used for rows/cols for |
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336 // backward compatibility |
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337 mdims = - mdims; |
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5828
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338 int32_t di; |
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4687
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339 dim_vector dv; |
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340 dv.resize (mdims); |
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341 |
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342 for (int i = 0; i < mdims; i++) |
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343 { |
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5760
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344 if (! is.read (reinterpret_cast<char *> (&di), 4)) |
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4687
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345 return false; |
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346 if (swap) |
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4944
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347 swap_bytes<4> (&di); |
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4687
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348 dv(i) = di; |
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349 } |
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350 |
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5157
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351 // Convert an array with a single dimension to be a row vector. |
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352 // Octave should never write files like this, other software |
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353 // might. |
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354 |
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355 if (mdims == 1) |
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356 { |
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357 mdims = 2; |
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358 dv.resize (mdims); |
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359 dv(1) = dv(0); |
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360 dv(0) = 1; |
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361 } |
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362 |
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5275
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363 octave_idx_type nel = dv.numel (); |
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4687
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364 OCTAVE_LOCAL_BUFFER (char, htmp, nel); |
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365 if (! is.read (htmp, nel)) |
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366 return false; |
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367 boolNDArray m(dv); |
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368 bool *mtmp = m.fortran_vec (); |
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5275
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369 for (octave_idx_type i = 0; i < nel; i++) |
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4687
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370 mtmp[i] = (htmp[i] ? 1 : 0); |
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371 matrix = m; |
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372 |
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373 return true; |
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374 } |
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375 |
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376 #if defined (HAVE_HDF5) |
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4944
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377 |
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4687
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378 bool |
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379 octave_bool_matrix::save_hdf5 (hid_t loc_id, const char *name, |
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380 bool /* save_as_floats */) |
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381 { |
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4837
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382 dim_vector dv = dims (); |
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383 int empty = save_hdf5_empty (loc_id, name, dv); |
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384 if (empty) |
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4805
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385 return (empty > 0); |
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386 |
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4837
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387 int rank = dv.length (); |
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4687
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388 hid_t space_hid = -1, data_hid = -1; |
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389 bool retval = true; |
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390 boolNDArray m = bool_array_value (); |
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391 |
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4805
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392 OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank); |
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393 |
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4687
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394 // Octave uses column-major, while HDF5 uses row-major ordering |
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4805
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395 for (int i = 0; i < rank; i++) |
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4837
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396 hdims[i] = dv (rank-i-1); |
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4687
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397 |
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4815
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398 space_hid = H5Screate_simple (rank, hdims, 0); |
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4687
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399 if (space_hid < 0) return false; |
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400 |
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401 data_hid = H5Dcreate (loc_id, name, H5T_NATIVE_HBOOL, space_hid, |
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402 H5P_DEFAULT); |
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403 if (data_hid < 0) |
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404 { |
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405 H5Sclose (space_hid); |
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406 return false; |
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407 } |
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408 |
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5275
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409 octave_idx_type nel = m.nelem (); |
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4687
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410 bool *mtmp = m.fortran_vec (); |
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6276
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411 OCTAVE_LOCAL_BUFFER (hbool_t, htmp, nel); |
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4687
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412 |
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5275
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413 for (octave_idx_type i = 0; i < nel; i++) |
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4687
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414 htmp[i] = mtmp[i]; |
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415 |
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416 retval = H5Dwrite (data_hid, H5T_NATIVE_HBOOL, H5S_ALL, H5S_ALL, |
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4815
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417 H5P_DEFAULT, htmp) >= 0; |
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4687
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418 |
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419 H5Dclose (data_hid); |
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420 H5Sclose (space_hid); |
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4837
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421 |
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4687
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422 return retval; |
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423 } |
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424 |
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425 bool |
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426 octave_bool_matrix::load_hdf5 (hid_t loc_id, const char *name, |
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427 bool /* have_h5giterate_bug */) |
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428 { |
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4837
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429 bool retval = false; |
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430 |
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4805
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431 dim_vector dv; |
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432 int empty = load_hdf5_empty (loc_id, name, dv); |
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433 if (empty > 0) |
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434 matrix.resize(dv); |
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4837
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435 if (empty) |
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436 return (empty > 0); |
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4805
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437 |
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4687
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438 hid_t data_hid = H5Dopen (loc_id, name); |
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439 hid_t space_id = H5Dget_space (data_hid); |
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440 |
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441 hsize_t rank = H5Sget_simple_extent_ndims (space_id); |
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442 |
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443 if (rank < 1) |
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444 { |
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445 H5Dclose (data_hid); |
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446 return false; |
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447 } |
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448 |
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449 OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank); |
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450 OCTAVE_LOCAL_BUFFER (hsize_t, maxdims, rank); |
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451 |
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452 H5Sget_simple_extent_dims (space_id, hdims, maxdims); |
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453 |
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454 // Octave uses column-major, while HDF5 uses row-major ordering |
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455 if (rank == 1) |
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456 { |
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457 dv.resize (2); |
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458 dv(0) = 1; |
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459 dv(1) = hdims[0]; |
|
|
460 } |
|
|
461 else |
|
|
462 { |
|
|
463 dv.resize (rank); |
|
4815
|
464 for (hsize_t i = 0, j = rank - 1; i < rank; i++, j--) |
|
4687
|
465 dv(j) = hdims[i]; |
|
|
466 } |
|
|
467 |
|
5275
|
468 octave_idx_type nel = dv.numel (); |
|
6276
|
469 OCTAVE_LOCAL_BUFFER (hbool_t, htmp, nel); |
|
6718
|
470 if (H5Dread (data_hid, H5T_NATIVE_HBOOL, H5S_ALL, H5S_ALL, H5P_DEFAULT, htmp) >= 0) |
|
4687
|
471 { |
|
|
472 retval = true; |
|
|
473 |
|
|
474 boolNDArray btmp (dv); |
|
5275
|
475 for (octave_idx_type i = 0; i < nel; i++) |
|
4687
|
476 btmp.elem (i) = htmp[i]; |
|
|
477 |
|
|
478 matrix = btmp; |
|
|
479 } |
|
|
480 |
|
|
481 H5Dclose (data_hid); |
|
4837
|
482 |
|
4687
|
483 return retval; |
|
|
484 } |
|
4944
|
485 |
|
4687
|
486 #endif |
|
|
487 |
|
5900
|
488 mxArray * |
|
|
489 octave_bool_matrix::as_mxArray (void) const |
|
|
490 { |
|
|
491 mxArray *retval = new mxArray (mxLOGICAL_CLASS, dims (), mxREAL); |
|
|
492 |
|
|
493 bool *pr = static_cast<bool *> (retval->get_data ()); |
|
|
494 |
|
6686
|
495 mwSize nel = numel (); |
|
5900
|
496 |
|
|
497 const bool *p = matrix.data (); |
|
|
498 |
|
6686
|
499 for (mwIndex i = 0; i < nel; i++) |
|
5900
|
500 pr[i] = p[i]; |
|
|
501 |
|
|
502 return retval; |
|
|
503 } |
|
|
504 |
|
2871
|
505 /* |
|
|
506 ;;; Local Variables: *** |
|
|
507 ;;; mode: C++ *** |
|
|
508 ;;; End: *** |
|
|
509 */ |
