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1 /* |
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2 |
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3 Copyright (C) 2004 David Bateman |
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4 Copyright (C) 1998-2004 Andy Adler |
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5 |
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6 Octave is free software; you can redistribute it and/or modify it |
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7 under the terms of the GNU General Public License as published by the |
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8 Free Software Foundation; either version 2, or (at your option) any |
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9 later version. |
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10 |
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11 Octave is distributed in the hope that it will be useful, but WITHOUT |
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12 ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or |
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13 FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License |
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14 for more details. |
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15 |
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16 You should have received a copy of the GNU General Public License |
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17 along with this program; see the file COPYING. If not, write to the Free |
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18 Software Foundation, 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA. |
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19 |
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20 */ |
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21 |
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22 #ifdef HAVE_CONFIG_H |
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23 #include <config.h> |
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24 #endif |
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25 |
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26 #include <climits> |
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27 |
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28 #include <iostream> |
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29 #include <vector> |
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30 |
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31 #include "ov-base.h" |
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32 #include "ov-scalar.h" |
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33 #include "ov-bool.h" |
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34 #include "ov-bool-mat.h" |
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35 #include "gripes.h" |
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36 #include "ops.h" |
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37 |
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38 #include "ov-re-sparse.h" |
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39 #include "ov-cx-sparse.h" |
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40 #include "ov-bool-sparse.h" |
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41 |
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42 #include "ov-base-sparse.h" |
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43 #include "ov-base-sparse.cc" |
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44 |
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45 template class octave_base_sparse<SparseBoolMatrix>; |
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46 |
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47 DEFINE_OCTAVE_ALLOCATOR (octave_sparse_bool_matrix); |
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48 |
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49 DEFINE_OV_TYPEID_FUNCTIONS_AND_DATA (octave_sparse_bool_matrix, "sparse bool matrix", "sparse"); |
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50 |
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51 static octave_value * |
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52 default_numeric_conversion_function (const octave_value& a) |
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53 { |
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54 CAST_CONV_ARG (const octave_sparse_bool_matrix&); |
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55 |
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56 return new octave_sparse_matrix (SparseMatrix (v.sparse_bool_matrix_value ())); |
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57 } |
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58 |
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59 type_conv_fcn |
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60 octave_sparse_bool_matrix::numeric_conversion_function (void) const |
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61 { |
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62 return default_numeric_conversion_function; |
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63 } |
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64 |
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65 octave_value * |
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66 octave_sparse_bool_matrix::try_narrowing_conversion (void) |
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67 { |
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68 octave_value *retval = 0; |
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69 |
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70 // Don't use numel, since it can overflow for very large matrices |
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71 // Note that for the second test, this means it becomes approximative |
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72 // since it involves a cast to double to avoid issues of overflow |
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73 if (matrix.rows () == 1 && matrix.cols () == 1) |
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74 { |
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75 // Const copy of the matrix, so the right version of () operator used |
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76 const SparseBoolMatrix tmp (matrix); |
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77 |
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78 retval = new octave_bool (tmp (0)); |
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79 } |
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80 else if (matrix.cols () > 0 && matrix.rows () > 0 && |
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81 double (matrix.byte_size ()) > double (matrix.rows ()) * |
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82 double (matrix.cols ()) * sizeof (bool)) |
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83 retval = new octave_bool_matrix (matrix.matrix_value ()); |
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84 |
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85 return retval; |
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86 } |
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87 |
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88 bool |
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89 octave_sparse_bool_matrix::valid_as_scalar_index (void) const |
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90 { |
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91 // XXX FIXME XXX |
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92 return false; |
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93 } |
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94 |
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95 double |
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96 octave_sparse_bool_matrix::double_value (bool) const |
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97 { |
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98 double retval = lo_ieee_nan_value (); |
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99 |
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100 if (numel () > 0) |
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101 { |
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102 // XXX FIXME XXX -- is warn_fortran_indexing the right variable here? |
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103 if (Vwarn_fortran_indexing) |
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104 gripe_implicit_conversion ("bool sparse 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 sparse 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_sparse_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 // XXX FIXME XXX -- maybe this should be a function, valid_as_scalar() |
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122 if (rows () > 0 && columns () > 0) |
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123 { |
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124 // XXX FIXME XXX -- is warn_fortran_indexing the right variable here? |
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125 if (Vwarn_fortran_indexing) |
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126 gripe_implicit_conversion ("bool sparse matrix", "complex scalar"); |
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127 |
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128 retval = matrix (0, 0); |
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129 } |
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130 else |
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131 gripe_invalid_conversion ("bool sparse matrix", "complex scalar"); |
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132 |
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133 return retval; |
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134 } |
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135 |
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136 octave_value |
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137 octave_sparse_bool_matrix::convert_to_str_internal (bool pad, bool force) const |
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138 { |
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139 octave_value tmp = octave_value (array_value ()); |
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140 return tmp.convert_to_str (pad, force); |
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141 } |
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142 |
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143 // XXX FIXME XXX These are inefficient ways of creating full matrices |
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144 |
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145 Matrix |
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146 octave_sparse_bool_matrix::matrix_value (bool) const |
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147 { |
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148 return Matrix (matrix.matrix_value ()); |
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149 } |
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150 |
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151 ComplexMatrix |
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152 octave_sparse_bool_matrix::complex_matrix_value (bool) const |
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153 { |
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154 return ComplexMatrix (matrix.matrix_value ()); |
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155 } |
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156 |
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157 ComplexNDArray |
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158 octave_sparse_bool_matrix::complex_array_value (bool) const |
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159 { |
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160 return ComplexNDArray (ComplexMatrix (matrix.matrix_value ())); |
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161 } |
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162 |
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163 NDArray |
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164 octave_sparse_bool_matrix::array_value (bool) const |
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165 { |
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166 return NDArray (Matrix(matrix.matrix_value ())); |
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167 } |
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168 |
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169 boolMatrix |
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170 octave_sparse_bool_matrix::bool_matrix_value (void) const |
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171 { |
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172 return matrix.matrix_value (); |
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173 } |
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174 |
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175 boolNDArray |
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176 octave_sparse_bool_matrix::bool_array_value (void) const |
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177 { |
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178 return boolNDArray (matrix.matrix_value ()); |
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179 } |
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180 |
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181 |
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182 SparseMatrix |
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183 octave_sparse_bool_matrix::sparse_matrix_value (bool) const |
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184 { |
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185 return SparseMatrix (this->matrix); |
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186 } |
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187 |
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188 SparseComplexMatrix |
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189 octave_sparse_bool_matrix::sparse_complex_matrix_value (bool) const |
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190 { |
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191 return SparseComplexMatrix (this->matrix); |
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192 } |
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193 |
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194 bool |
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195 octave_sparse_bool_matrix::save_binary (std::ostream& os, bool&) |
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196 { |
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197 dim_vector d = this->dims (); |
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198 if (d.length() < 1) |
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199 return false; |
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200 |
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201 // Ensure that additional memory is deallocated |
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202 matrix.maybe_compress (); |
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203 |
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204 int nr = d(0); |
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205 int nc = d(1); |
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206 int nz = nnz (); |
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207 |
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208 FOUR_BYTE_INT itmp; |
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209 // Use negative value for ndims to be consistent with other formats |
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210 itmp= -2; |
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211 os.write (X_CAST (char *, &itmp), 4); |
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212 |
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213 itmp= nr; |
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214 os.write (X_CAST (char *, &itmp), 4); |
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215 |
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216 itmp= nc; |
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217 os.write (X_CAST (char *, &itmp), 4); |
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218 |
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219 itmp= nz; |
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220 os.write (X_CAST (char *, &itmp), 4); |
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221 |
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222 // add one to the printed indices to go from |
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223 // zero-based to one-based arrays |
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224 for (int i = 0; i < nc+1; i++) |
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225 { |
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226 OCTAVE_QUIT; |
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227 itmp = matrix.cidx(i); |
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228 os.write (X_CAST (char *, &itmp), 4); |
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229 } |
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230 |
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231 for (int i = 0; i < nz; i++) |
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232 { |
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233 OCTAVE_QUIT; |
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234 itmp = matrix.ridx(i); |
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235 os.write (X_CAST (char *, &itmp), 4); |
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236 } |
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237 |
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238 OCTAVE_LOCAL_BUFFER (char, htmp, nz); |
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239 |
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240 for (int i = 0; i < nz; i++) |
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241 htmp[i] = (matrix.data (i) ? 1 : 0); |
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242 |
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243 os.write (htmp, nz); |
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244 |
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245 return true; |
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246 } |
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247 |
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248 bool |
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249 octave_sparse_bool_matrix::load_binary (std::istream& is, bool swap, |
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250 oct_mach_info::float_format fmt) |
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251 { |
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252 FOUR_BYTE_INT nz, nc, nr, tmp; |
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253 if (! is.read (X_CAST (char *, &tmp), 4)) |
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254 return false; |
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255 |
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256 if (swap) |
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257 swap_bytes<4> (&tmp); |
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258 |
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259 if (tmp != -2) { |
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260 error("load: only 2D sparse matrices are supported"); |
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261 return false; |
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262 } |
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263 |
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264 if (! is.read (X_CAST (char *, &nr), 4)) |
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265 return false; |
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266 if (! is.read (X_CAST (char *, &nc), 4)) |
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267 return false; |
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268 if (! is.read (X_CAST (char *, &nz), 4)) |
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269 return false; |
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270 |
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271 if (swap) |
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272 { |
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273 swap_bytes<4> (&nr); |
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274 swap_bytes<4> (&nc); |
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275 swap_bytes<4> (&nz); |
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276 } |
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277 |
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278 SparseBoolMatrix m (nr, nc, nz); |
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279 |
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280 for (int i = 0; i < nc+1; i++) |
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281 { |
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282 OCTAVE_QUIT; |
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283 if (! is.read (X_CAST (char *, &tmp), 4)) |
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284 return false; |
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285 if (swap) |
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286 swap_bytes<4> (&tmp); |
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287 m.cidx(i) = tmp; |
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288 } |
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289 |
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290 for (int i = 0; i < nz; i++) |
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291 { |
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292 OCTAVE_QUIT; |
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293 if (! is.read (X_CAST (char *, &tmp), 4)) |
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294 return false; |
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295 if (swap) |
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296 swap_bytes<4> (&tmp); |
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297 m.ridx(i) = tmp; |
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298 } |
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299 |
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300 if (error_state || ! is) |
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301 return false; |
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302 |
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303 OCTAVE_LOCAL_BUFFER (char, htmp, nz); |
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304 |
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305 if (! is.read (htmp, nz)) |
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306 return false; |
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307 |
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308 for (int i = 0; i < nz; i++) |
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309 m.data(i) = (htmp[i] ? 1 : 0); |
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310 |
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311 matrix = m; |
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312 |
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313 return true; |
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314 } |
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315 |
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316 #if defined (HAVE_HDF5) |
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317 bool |
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318 octave_sparse_bool_matrix::save_hdf5 (hid_t loc_id, const char *name, bool) |
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319 { |
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320 dim_vector dv = dims (); |
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321 int empty = save_hdf5_empty (loc_id, name, dv); |
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322 if (empty) |
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323 return (empty > 0); |
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324 |
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325 // Ensure that additional memory is deallocated |
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326 matrix.maybe_compress (); |
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327 |
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328 hid_t group_hid = H5Gcreate (loc_id, name, 0); |
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329 if (group_hid < 0) |
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330 return false; |
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331 |
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332 hid_t space_hid = -1, data_hid = -1; |
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333 bool retval = true; |
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334 SparseBoolMatrix m = sparse_bool_matrix_value (); |
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335 int tmp; |
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336 hsize_t hdims[2]; |
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337 |
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338 space_hid = H5Screate_simple (0, hdims, (hsize_t*) 0); |
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339 if (space_hid < 0) |
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340 { |
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341 H5Gclose (group_hid); |
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342 return false; |
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343 } |
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344 |
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345 data_hid = H5Dcreate (group_hid, "nr", H5T_NATIVE_INT, space_hid, |
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346 H5P_DEFAULT); |
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347 if (data_hid < 0) |
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348 { |
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349 H5Sclose (space_hid); |
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350 H5Gclose (group_hid); |
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351 return false; |
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352 } |
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353 |
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354 tmp = m.rows (); |
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355 retval = H5Dwrite (data_hid, H5T_NATIVE_INT, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
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356 (void*) &tmp) >= 0; |
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357 H5Dclose (data_hid); |
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358 if (!retval) |
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359 { |
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360 H5Sclose (space_hid); |
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361 H5Gclose (group_hid); |
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362 return false; |
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363 } |
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364 |
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365 data_hid = H5Dcreate (group_hid, "nc", H5T_NATIVE_INT, space_hid, |
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366 H5P_DEFAULT); |
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367 if (data_hid < 0) |
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368 { |
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369 H5Sclose (space_hid); |
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370 H5Gclose (group_hid); |
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371 return false; |
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372 } |
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373 |
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374 tmp = m.cols (); |
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375 retval = H5Dwrite (data_hid, H5T_NATIVE_INT, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
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376 (void*) &tmp) >= 0; |
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377 H5Dclose (data_hid); |
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378 if (!retval) |
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379 { |
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380 H5Sclose (space_hid); |
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381 H5Gclose (group_hid); |
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382 return false; |
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383 } |
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384 |
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385 data_hid = H5Dcreate (group_hid, "nz", H5T_NATIVE_INT, space_hid, |
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386 H5P_DEFAULT); |
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387 if (data_hid < 0) |
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388 { |
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389 H5Sclose (space_hid); |
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390 H5Gclose (group_hid); |
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391 return false; |
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392 } |
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393 |
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394 tmp = m.nnz (); |
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395 retval = H5Dwrite (data_hid, H5T_NATIVE_INT, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
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396 (void*) &tmp) >= 0; |
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397 H5Dclose (data_hid); |
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398 if (!retval) |
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399 { |
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400 H5Sclose (space_hid); |
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401 H5Gclose (group_hid); |
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402 return false; |
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403 } |
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404 |
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405 H5Sclose (space_hid); |
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406 |
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407 hdims[0] = m.cols() + 1; |
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408 hdims[1] = 1; |
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409 |
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410 space_hid = H5Screate_simple (2, hdims, 0); |
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411 |
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412 if (space_hid < 0) |
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413 { |
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414 H5Gclose (group_hid); |
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415 return false; |
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416 } |
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417 |
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418 data_hid = H5Dcreate (group_hid, "cidx", H5T_NATIVE_INT, space_hid, |
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419 H5P_DEFAULT); |
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420 if (data_hid < 0) |
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421 { |
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422 H5Sclose (space_hid); |
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423 H5Gclose (group_hid); |
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424 return false; |
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425 } |
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426 |
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427 int * itmp = m.xcidx (); |
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428 retval = H5Dwrite (data_hid, H5T_NATIVE_INT, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
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429 (void*) itmp) >= 0; |
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430 H5Dclose (data_hid); |
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431 if (!retval) |
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432 { |
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433 H5Sclose (space_hid); |
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434 H5Gclose (group_hid); |
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435 return false; |
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436 } |
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437 |
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438 H5Sclose (space_hid); |
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439 |
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440 hdims[0] = m.nnz(); |
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441 hdims[1] = 1; |
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442 |
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443 space_hid = H5Screate_simple (2, hdims, 0); |
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444 |
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445 if (space_hid < 0) |
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446 { |
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447 H5Gclose (group_hid); |
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448 return false; |
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449 } |
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450 |
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451 data_hid = H5Dcreate (group_hid, "ridx", H5T_NATIVE_INT, space_hid, |
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452 H5P_DEFAULT); |
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453 if (data_hid < 0) |
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454 { |
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455 H5Sclose (space_hid); |
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456 H5Gclose (group_hid); |
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457 return false; |
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458 } |
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459 |
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460 itmp = m.xridx (); |
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461 retval = H5Dwrite (data_hid, H5T_NATIVE_INT, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
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462 (void*) itmp) >= 0; |
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463 H5Dclose (data_hid); |
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464 if (!retval) |
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465 { |
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466 H5Sclose (space_hid); |
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467 H5Gclose (group_hid); |
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468 return false; |
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469 } |
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470 |
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471 data_hid = H5Dcreate (group_hid, "data", H5T_NATIVE_HBOOL, space_hid, |
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472 H5P_DEFAULT); |
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473 if (data_hid < 0) |
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474 { |
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475 H5Sclose (space_hid); |
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476 H5Gclose (group_hid); |
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477 return false; |
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478 } |
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479 |
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480 hbool_t htmp[m.nnz ()]; |
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481 for (int i = 0; i < m.nnz (); i++) |
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482 htmp[i] = m.xdata(i); |
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483 |
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484 retval = H5Dwrite (data_hid, H5T_NATIVE_HBOOL, H5S_ALL, H5S_ALL, |
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485 H5P_DEFAULT, (void*) htmp) >= 0; |
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486 H5Dclose (data_hid); |
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487 H5Sclose (space_hid); |
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488 H5Gclose (group_hid); |
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489 |
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490 return retval; |
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491 } |
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492 |
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493 bool |
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494 octave_sparse_bool_matrix::load_hdf5 (hid_t loc_id, const char *name, |
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495 bool /* have_h5giterate_bug */) |
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496 { |
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497 int nr, nc, nz; |
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498 hid_t group_hid, data_hid, space_hid; |
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499 hsize_t rank; |
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500 |
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501 dim_vector dv; |
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502 int empty = load_hdf5_empty (loc_id, name, dv); |
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503 if (empty > 0) |
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504 matrix.resize(dv); |
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505 if (empty) |
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506 return (empty > 0); |
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507 |
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508 group_hid = H5Gopen (loc_id, name); |
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509 if (group_hid < 0 ) return false; |
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510 |
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511 data_hid = H5Dopen (group_hid, "nr"); |
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512 space_hid = H5Dget_space (data_hid); |
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513 rank = H5Sget_simple_extent_ndims (space_hid); |
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514 |
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515 if (rank != 0) |
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516 { |
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517 H5Dclose (data_hid); |
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518 H5Gclose (group_hid); |
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519 return false; |
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520 } |
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521 |
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522 if (H5Dread (data_hid, H5T_NATIVE_INT, H5S_ALL, H5S_ALL, |
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523 H5P_DEFAULT, (void *) &nr) < 0) |
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524 { |
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525 H5Dclose (data_hid); |
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526 H5Gclose (group_hid); |
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527 return false; |
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528 } |
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529 |
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530 H5Dclose (data_hid); |
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531 |
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532 data_hid = H5Dopen (group_hid, "nc"); |
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533 space_hid = H5Dget_space (data_hid); |
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534 rank = H5Sget_simple_extent_ndims (space_hid); |
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535 |
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536 if (rank != 0) |
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537 { |
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538 H5Dclose (data_hid); |
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539 H5Gclose (group_hid); |
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540 return false; |
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541 } |
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542 |
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543 if (H5Dread (data_hid, H5T_NATIVE_INT, H5S_ALL, H5S_ALL, |
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544 H5P_DEFAULT, (void *) &nc) < 0) |
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545 { |
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546 H5Dclose (data_hid); |
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547 H5Gclose (group_hid); |
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548 return false; |
|
|
549 } |
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550 |
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551 H5Dclose (data_hid); |
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552 |
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553 data_hid = H5Dopen (group_hid, "nz"); |
|
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554 space_hid = H5Dget_space (data_hid); |
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555 rank = H5Sget_simple_extent_ndims (space_hid); |
|
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556 |
|
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557 if (rank != 0) |
|
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558 { |
|
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559 H5Dclose (data_hid); |
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560 H5Gclose (group_hid); |
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|
561 return false; |
|
|
562 } |
|
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563 |
|
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564 if (H5Dread (data_hid, H5T_NATIVE_INT, H5S_ALL, H5S_ALL, |
|
|
565 H5P_DEFAULT, (void *) &nz) < 0) |
|
|
566 { |
|
|
567 H5Dclose (data_hid); |
|
|
568 H5Gclose (group_hid); |
|
|
569 return false; |
|
|
570 } |
|
|
571 |
|
|
572 H5Dclose (data_hid); |
|
|
573 |
|
|
574 SparseBoolMatrix m (nr, nc, nz); |
|
|
575 |
|
|
576 data_hid = H5Dopen (group_hid, "cidx"); |
|
|
577 space_hid = H5Dget_space (data_hid); |
|
|
578 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
579 |
|
|
580 if (rank != 2) |
|
|
581 { |
|
|
582 H5Sclose (space_hid); |
|
|
583 H5Dclose (data_hid); |
|
|
584 H5Gclose (group_hid); |
|
|
585 return false; |
|
|
586 } |
|
|
587 |
|
|
588 OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank); |
|
|
589 OCTAVE_LOCAL_BUFFER (hsize_t, maxdims, rank); |
|
|
590 |
|
|
591 H5Sget_simple_extent_dims (space_hid, hdims, maxdims); |
|
|
592 |
|
|
593 if (hdims[0] != nc + 1 || hdims[1] != 1) |
|
|
594 { |
|
|
595 H5Sclose (space_hid); |
|
|
596 H5Dclose (data_hid); |
|
|
597 H5Gclose (group_hid); |
|
|
598 return false; |
|
|
599 } |
|
|
600 |
|
|
601 int *itmp = m.xcidx (); |
|
|
602 if (H5Dread (data_hid, H5T_NATIVE_INT, H5S_ALL, H5S_ALL, |
|
|
603 H5P_DEFAULT, (void *) itmp) < 0) |
|
|
604 { |
|
|
605 H5Sclose (space_hid); |
|
|
606 H5Dclose (data_hid); |
|
|
607 H5Gclose (group_hid); |
|
|
608 return false; |
|
|
609 } |
|
|
610 |
|
|
611 H5Sclose (space_hid); |
|
|
612 H5Dclose (data_hid); |
|
|
613 |
|
|
614 data_hid = H5Dopen (group_hid, "ridx"); |
|
|
615 space_hid = H5Dget_space (data_hid); |
|
|
616 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
617 |
|
|
618 if (rank != 2) |
|
|
619 { |
|
|
620 H5Sclose (space_hid); |
|
|
621 H5Dclose (data_hid); |
|
|
622 H5Gclose (group_hid); |
|
|
623 return false; |
|
|
624 } |
|
|
625 |
|
|
626 H5Sget_simple_extent_dims (space_hid, hdims, maxdims); |
|
|
627 |
|
|
628 if (hdims[0] != nz || hdims[1] != 1) |
|
|
629 { |
|
|
630 H5Sclose (space_hid); |
|
|
631 H5Dclose (data_hid); |
|
|
632 H5Gclose (group_hid); |
|
|
633 return false; |
|
|
634 } |
|
|
635 |
|
|
636 itmp = m.xridx (); |
|
|
637 if (H5Dread (data_hid, H5T_NATIVE_INT, H5S_ALL, H5S_ALL, |
|
|
638 H5P_DEFAULT, (void *) itmp) < 0) |
|
|
639 { |
|
|
640 H5Sclose (space_hid); |
|
|
641 H5Dclose (data_hid); |
|
|
642 H5Gclose (group_hid); |
|
|
643 return false; |
|
|
644 } |
|
|
645 |
|
|
646 H5Sclose (space_hid); |
|
|
647 H5Dclose (data_hid); |
|
|
648 |
|
|
649 data_hid = H5Dopen (group_hid, "data"); |
|
|
650 space_hid = H5Dget_space (data_hid); |
|
|
651 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
652 |
|
|
653 if (rank != 2) |
|
|
654 { |
|
|
655 H5Sclose (space_hid); |
|
|
656 H5Dclose (data_hid); |
|
|
657 H5Gclose (group_hid); |
|
|
658 return false; |
|
|
659 } |
|
|
660 |
|
|
661 H5Sget_simple_extent_dims (space_hid, hdims, maxdims); |
|
|
662 |
|
|
663 if (hdims[0] != nz || hdims[1] != 1) |
|
|
664 { |
|
|
665 H5Sclose (space_hid); |
|
|
666 H5Dclose (data_hid); |
|
|
667 H5Gclose (group_hid); |
|
|
668 return false; |
|
|
669 } |
|
|
670 |
|
|
671 hbool_t htmp[nz]; |
|
|
672 bool retval = false; |
|
|
673 if (H5Dread (data_hid, H5T_NATIVE_HBOOL, H5S_ALL, H5S_ALL, |
|
|
674 H5P_DEFAULT, (void *) htmp) >= 0) |
|
|
675 { |
|
|
676 retval = true; |
|
|
677 |
|
|
678 for (int i = 0; i < nz; i++) |
|
|
679 m.xdata(i) = htmp[i]; |
|
|
680 |
|
|
681 matrix = m; |
|
|
682 } |
|
|
683 |
|
|
684 H5Sclose (space_hid); |
|
|
685 H5Dclose (data_hid); |
|
|
686 H5Gclose (group_hid); |
|
|
687 |
|
|
688 return retval; |
|
|
689 } |
|
|
690 #endif |
|
|
691 |
|
|
692 /* |
|
|
693 ;;; Local Variables: *** |
|
|
694 ;;; mode: C++ *** |
|
|
695 ;;; End: *** |
|
|
696 */ |
