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5164
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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 "gripes.h" |
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34 |
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35 #include "ls-hdf5.h" |
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36 |
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37 #include "ov-re-sparse.h" |
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38 |
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39 #include "ov-base-sparse.h" |
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40 #include "ov-base-sparse.cc" |
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41 |
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42 #include "ov-bool-sparse.h" |
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43 |
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44 template class octave_base_sparse<SparseMatrix>; |
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45 |
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46 DEFINE_OCTAVE_ALLOCATOR (octave_sparse_matrix); |
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47 |
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48 DEFINE_OV_TYPEID_FUNCTIONS_AND_DATA (octave_sparse_matrix, "sparse matrix", "sparse"); |
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49 |
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50 octave_value * |
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51 octave_sparse_matrix::try_narrowing_conversion (void) |
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52 { |
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53 octave_value *retval = 0; |
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54 |
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55 // Don't use numel, since it can overflow for very large matrices |
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56 // Note that for the second test, this means it becomes approximative |
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57 // since it involves a cast to double to avoid issues of overflow |
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58 if (matrix.rows () == 1 && matrix.cols () == 1) |
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59 { |
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60 // Const copy of the matrix, so the right version of () operator used |
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61 const SparseMatrix tmp (matrix); |
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62 |
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63 retval = new octave_scalar (tmp (0)); |
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64 } |
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65 else if (matrix.cols () > 0 && matrix.rows () > 0 && |
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66 double (matrix.byte_size ()) > double (matrix.rows ()) * |
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67 double (matrix.cols ()) * sizeof (double)) |
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68 retval = new octave_matrix (matrix.matrix_value ()); |
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69 |
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70 return retval; |
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71 } |
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72 |
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73 bool |
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74 octave_sparse_matrix::valid_as_scalar_index (void) const |
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75 { |
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76 // XXX FIXME XXX |
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77 return false; |
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78 } |
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79 |
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80 double |
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81 octave_sparse_matrix::double_value (bool) const |
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82 { |
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83 double retval = lo_ieee_nan_value (); |
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84 |
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85 if (numel () > 0) |
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86 { |
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87 // XXX FIXME XXX -- is warn_fortran_indexing the right variable here? |
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88 if (Vwarn_fortran_indexing) |
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89 gripe_implicit_conversion ("real sparse matrix", "real scalar"); |
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90 |
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91 retval = matrix (0, 0); |
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92 } |
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93 else |
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94 gripe_invalid_conversion ("real sparse matrix", "real scalar"); |
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95 |
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96 return retval; |
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97 } |
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98 |
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99 Complex |
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100 octave_sparse_matrix::complex_value (bool) const |
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101 { |
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102 double tmp = lo_ieee_nan_value (); |
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103 |
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104 Complex retval (tmp, tmp); |
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105 |
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106 // XXX FIXME XXX -- maybe this should be a function, valid_as_scalar() |
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107 if (rows () > 0 && columns () > 0) |
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108 { |
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109 // XXX FIXME XXX -- is warn_fortran_indexing the right variable here? |
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110 if (Vwarn_fortran_indexing) |
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111 gripe_implicit_conversion ("real sparse matrix", "complex scalar"); |
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112 |
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113 retval = matrix (0, 0); |
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114 } |
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115 else |
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116 gripe_invalid_conversion ("real sparse matrix", "complex scalar"); |
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117 |
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118 return retval; |
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119 } |
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120 |
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121 Matrix |
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122 octave_sparse_matrix::matrix_value (bool) const |
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123 { |
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124 return matrix.matrix_value (); |
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125 } |
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126 |
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127 ComplexMatrix |
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128 octave_sparse_matrix::complex_matrix_value (bool) const |
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129 { |
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130 return ComplexMatrix (matrix.matrix_value ()); |
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131 } |
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132 |
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133 ComplexNDArray |
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134 octave_sparse_matrix::complex_array_value (bool) const |
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135 { |
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136 return ComplexNDArray (ComplexMatrix (matrix.matrix_value ())); |
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137 } |
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138 |
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139 NDArray |
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140 octave_sparse_matrix::array_value (bool) const |
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141 { |
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142 return NDArray (matrix.matrix_value ()); |
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143 } |
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144 |
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145 streamoff_array |
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146 octave_sparse_matrix::streamoff_array_value (void) const |
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147 { |
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148 streamoff_array retval (dims ()); |
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149 int nc = matrix.cols (); |
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150 int nr = matrix.rows (); |
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151 |
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152 for (int j = 0; j < nc; j++) |
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153 for (int i = matrix.cidx(i); i < matrix.cidx(i+1); i++) |
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154 { |
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155 double d = matrix.data(i); |
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156 |
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157 if (D_NINT (d) == d) |
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158 { |
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159 retval(matrix.ridx(i) + nr * j) = |
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160 std::streamoff (static_cast<long> (d)); |
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161 } |
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162 else |
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163 { |
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164 error ("conversion to streamoff_array value failed"); |
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165 break; |
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166 } |
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167 } |
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168 |
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169 return retval; |
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170 } |
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171 |
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172 bool |
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173 octave_sparse_matrix::save_binary (std::ostream& os, bool&save_as_floats) |
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174 { |
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175 dim_vector d = this->dims (); |
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176 if (d.length() < 1) |
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177 return false; |
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178 |
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179 // Ensure that additional memory is deallocated |
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180 matrix.maybe_compress (); |
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181 |
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182 int nr = d(0); |
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183 int nc = d(1); |
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184 int nz = nnz (); |
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185 |
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186 FOUR_BYTE_INT itmp; |
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187 // Use negative value for ndims to be consistent with other formats |
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188 itmp= -2; |
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189 os.write (X_CAST (char *, &itmp), 4); |
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190 |
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191 itmp= nr; |
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192 os.write (X_CAST (char *, &itmp), 4); |
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193 |
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194 itmp= nc; |
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195 os.write (X_CAST (char *, &itmp), 4); |
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196 |
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197 itmp= nz; |
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198 os.write (X_CAST (char *, &itmp), 4); |
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199 |
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200 save_type st = LS_DOUBLE; |
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201 if (save_as_floats) |
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202 { |
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203 if (matrix.too_large_for_float ()) |
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204 { |
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205 warning ("save: some values too large to save as floats --"); |
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206 warning ("save: saving as doubles instead"); |
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207 } |
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208 else |
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209 st = LS_FLOAT; |
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210 } |
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211 else if (matrix.nnz () > 8192) // XXX FIXME XXX -- make this configurable. |
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212 { |
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213 double max_val, min_val; |
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214 if (matrix.all_integers (max_val, min_val)) |
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215 st = get_save_type (max_val, min_val); |
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216 } |
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217 |
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218 // add one to the printed indices to go from |
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219 // zero-based to one-based arrays |
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220 for (int i = 0; i < nc+1; i++) |
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221 { |
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222 OCTAVE_QUIT; |
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223 itmp = matrix.cidx(i); |
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224 os.write (X_CAST (char *, &itmp), 4); |
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225 } |
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226 |
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227 for (int i = 0; i < nz; i++) |
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228 { |
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229 OCTAVE_QUIT; |
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230 itmp = matrix.ridx(i); |
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231 os.write (X_CAST (char *, &itmp), 4); |
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232 } |
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233 |
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234 write_doubles (os, matrix.data(), st, nz); |
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235 |
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236 return true; |
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237 } |
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238 |
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239 bool |
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240 octave_sparse_matrix::load_binary (std::istream& is, bool swap, |
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241 oct_mach_info::float_format fmt) |
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242 { |
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243 FOUR_BYTE_INT nz, nc, nr, tmp; |
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244 if (! is.read (X_CAST (char *, &tmp), 4)) |
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245 return false; |
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246 |
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247 if (swap) |
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248 swap_bytes<4> (&tmp); |
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249 |
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250 if (tmp != -2) { |
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251 error("load: only 2D sparse matrices are supported"); |
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252 return false; |
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253 } |
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254 |
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255 if (! is.read (X_CAST (char *, &nr), 4)) |
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256 return false; |
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257 if (! is.read (X_CAST (char *, &nc), 4)) |
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258 return false; |
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259 if (! is.read (X_CAST (char *, &nz), 4)) |
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260 return false; |
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261 |
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262 if (swap) |
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263 { |
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264 swap_bytes<4> (&nr); |
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265 swap_bytes<4> (&nc); |
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266 swap_bytes<4> (&nz); |
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267 } |
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268 |
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269 SparseMatrix m (nr, nc, nz); |
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270 |
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271 for (int i = 0; i < nc+1; i++) |
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272 { |
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273 OCTAVE_QUIT; |
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274 if (! is.read (X_CAST (char *, &tmp), 4)) |
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275 return false; |
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276 if (swap) |
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277 swap_bytes<4> (&tmp); |
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278 m.xcidx(i) = tmp; |
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279 } |
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280 |
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281 for (int i = 0; i < nz; i++) |
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282 { |
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283 OCTAVE_QUIT; |
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284 if (! is.read (X_CAST (char *, &tmp), 4)) |
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285 return false; |
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286 if (swap) |
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287 swap_bytes<4> (&tmp); |
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288 m.xridx(i) = tmp; |
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289 } |
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290 |
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291 if (! is.read (X_CAST (char *, &tmp), 1)) |
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292 return false; |
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293 |
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294 read_doubles (is, m.xdata(), X_CAST (save_type, tmp), nz, swap, fmt); |
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295 |
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296 if (error_state || ! is) |
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297 return false; |
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298 matrix = m; |
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299 |
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300 return true; |
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301 } |
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302 |
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303 #if defined (HAVE_HDF5) |
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304 bool |
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305 octave_sparse_matrix::save_hdf5 (hid_t loc_id, const char *name, |
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306 bool save_as_floats) |
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307 { |
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308 dim_vector dv = dims (); |
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309 int empty = save_hdf5_empty (loc_id, name, dv); |
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310 if (empty) |
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311 return (empty > 0); |
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312 |
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313 // Ensure that additional memory is deallocated |
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314 matrix.maybe_compress (); |
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315 |
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316 hid_t group_hid = H5Gcreate (loc_id, name, 0); |
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317 if (group_hid < 0) |
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318 return false; |
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319 |
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320 hid_t space_hid = -1, data_hid = -1; |
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321 bool retval = true; |
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322 SparseMatrix m = sparse_matrix_value (); |
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323 int tmp; |
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324 hsize_t hdims[2]; |
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325 |
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326 space_hid = H5Screate_simple (0, hdims, (hsize_t*) 0); |
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327 if (space_hid < 0) |
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328 { |
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329 H5Gclose (group_hid); |
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330 return false; |
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331 } |
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332 |
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333 data_hid = H5Dcreate (group_hid, "nr", H5T_NATIVE_INT, space_hid, |
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334 H5P_DEFAULT); |
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335 if (data_hid < 0) |
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336 { |
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337 H5Sclose (space_hid); |
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338 H5Gclose (group_hid); |
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339 return false; |
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340 } |
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341 |
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342 tmp = m.rows (); |
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343 retval = H5Dwrite (data_hid, H5T_NATIVE_INT, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
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344 (void*) &tmp) >= 0; |
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345 H5Dclose (data_hid); |
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346 if (!retval) |
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347 { |
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348 H5Sclose (space_hid); |
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349 H5Gclose (group_hid); |
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350 return false; |
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351 } |
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352 |
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353 data_hid = H5Dcreate (group_hid, "nc", H5T_NATIVE_INT, space_hid, |
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354 H5P_DEFAULT); |
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355 if (data_hid < 0) |
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356 { |
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357 H5Sclose (space_hid); |
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358 H5Gclose (group_hid); |
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359 return false; |
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360 } |
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361 |
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362 tmp = m.cols (); |
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363 retval = H5Dwrite (data_hid, H5T_NATIVE_INT, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
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364 (void*) &tmp) >= 0; |
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365 H5Dclose (data_hid); |
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366 if (!retval) |
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367 { |
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368 H5Sclose (space_hid); |
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369 H5Gclose (group_hid); |
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370 return false; |
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371 } |
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372 |
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373 data_hid = H5Dcreate (group_hid, "nz", H5T_NATIVE_INT, space_hid, |
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374 H5P_DEFAULT); |
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375 if (data_hid < 0) |
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376 { |
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377 H5Sclose (space_hid); |
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378 H5Gclose (group_hid); |
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379 return false; |
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380 } |
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381 |
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382 tmp = m.nnz (); |
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383 retval = H5Dwrite (data_hid, H5T_NATIVE_INT, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
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384 (void*) &tmp) >= 0; |
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385 H5Dclose (data_hid); |
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386 if (!retval) |
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387 { |
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388 H5Sclose (space_hid); |
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389 H5Gclose (group_hid); |
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390 return false; |
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391 } |
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392 |
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393 H5Sclose (space_hid); |
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394 |
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395 hdims[0] = m.cols() + 1; |
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396 hdims[1] = 1; |
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397 |
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398 space_hid = H5Screate_simple (2, hdims, 0); |
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399 |
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400 if (space_hid < 0) |
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401 { |
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402 H5Gclose (group_hid); |
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403 return false; |
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404 } |
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405 |
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406 data_hid = H5Dcreate (group_hid, "cidx", H5T_NATIVE_INT, space_hid, |
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407 H5P_DEFAULT); |
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408 if (data_hid < 0) |
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409 { |
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410 H5Sclose (space_hid); |
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411 H5Gclose (group_hid); |
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412 return false; |
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413 } |
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414 |
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415 int * itmp = m.xcidx (); |
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416 retval = H5Dwrite (data_hid, H5T_NATIVE_INT, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
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417 (void*) itmp) >= 0; |
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418 H5Dclose (data_hid); |
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419 if (!retval) |
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420 { |
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421 H5Sclose (space_hid); |
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422 H5Gclose (group_hid); |
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423 return false; |
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424 } |
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425 |
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426 H5Sclose (space_hid); |
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427 |
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428 hdims[0] = m.nnz(); |
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429 hdims[1] = 1; |
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430 |
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431 space_hid = H5Screate_simple (2, hdims, 0); |
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432 |
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433 if (space_hid < 0) |
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434 { |
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435 H5Gclose (group_hid); |
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436 return false; |
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437 } |
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438 |
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439 data_hid = H5Dcreate (group_hid, "ridx", H5T_NATIVE_INT, space_hid, |
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440 H5P_DEFAULT); |
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441 if (data_hid < 0) |
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442 { |
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443 H5Sclose (space_hid); |
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444 H5Gclose (group_hid); |
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445 return false; |
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446 } |
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447 |
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448 itmp = m.xridx (); |
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449 retval = H5Dwrite (data_hid, H5T_NATIVE_INT, H5S_ALL, H5S_ALL, H5P_DEFAULT, |
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450 (void*) itmp) >= 0; |
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451 H5Dclose (data_hid); |
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452 if (!retval) |
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453 { |
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454 H5Sclose (space_hid); |
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455 H5Gclose (group_hid); |
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456 return false; |
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457 } |
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458 |
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459 hid_t save_type_hid = H5T_NATIVE_DOUBLE; |
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460 |
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461 if (save_as_floats) |
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462 { |
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463 if (m.too_large_for_float ()) |
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464 { |
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465 warning ("save: some values too large to save as floats --"); |
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466 warning ("save: saving as doubles instead"); |
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467 } |
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468 else |
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469 save_type_hid = H5T_NATIVE_FLOAT; |
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470 } |
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471 #if HAVE_HDF5_INT2FLOAT_CONVERSIONS |
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472 // hdf5 currently doesn't support float/integer conversions |
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473 else |
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474 { |
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475 double max_val, min_val; |
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476 |
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477 if (m.all_integers (max_val, min_val)) |
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478 save_type_hid |
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479 = save_type_to_hdf5 (get_save_type (max_val, min_val)); |
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480 } |
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481 #endif /* HAVE_HDF5_INT2FLOAT_CONVERSIONS */ |
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482 |
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483 data_hid = H5Dcreate (group_hid, "data", save_type_hid, space_hid, |
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484 H5P_DEFAULT); |
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485 if (data_hid < 0) |
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486 { |
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487 H5Sclose (space_hid); |
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488 H5Gclose (group_hid); |
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489 return false; |
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490 } |
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491 |
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492 double * dtmp = m.xdata (); |
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493 retval = H5Dwrite (data_hid, H5T_NATIVE_DOUBLE, H5S_ALL, H5S_ALL, |
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494 H5P_DEFAULT, (void*) dtmp) >= 0; |
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495 H5Dclose (data_hid); |
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496 H5Sclose (space_hid); |
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497 H5Gclose (group_hid); |
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498 |
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499 return retval; |
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500 } |
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501 |
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502 bool |
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503 octave_sparse_matrix::load_hdf5 (hid_t loc_id, const char *name, |
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504 bool /* have_h5giterate_bug */) |
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505 { |
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506 int nr, nc, nz; |
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507 hid_t group_hid, data_hid, space_hid; |
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508 hsize_t rank; |
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509 |
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510 dim_vector dv; |
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511 int empty = load_hdf5_empty (loc_id, name, dv); |
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512 if (empty > 0) |
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513 matrix.resize(dv); |
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514 if (empty) |
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515 return (empty > 0); |
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516 |
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517 group_hid = H5Gopen (loc_id, name); |
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518 if (group_hid < 0 ) return false; |
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519 |
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520 data_hid = H5Dopen (group_hid, "nr"); |
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521 space_hid = H5Dget_space (data_hid); |
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522 rank = H5Sget_simple_extent_ndims (space_hid); |
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523 |
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524 if (rank != 0) |
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525 { |
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526 H5Dclose (data_hid); |
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527 H5Gclose (group_hid); |
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528 return false; |
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529 } |
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530 |
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531 if (H5Dread (data_hid, H5T_NATIVE_INT, H5S_ALL, H5S_ALL, |
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532 H5P_DEFAULT, (void *) &nr) < 0) |
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533 { |
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534 H5Dclose (data_hid); |
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535 H5Gclose (group_hid); |
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536 return false; |
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537 } |
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538 |
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539 H5Dclose (data_hid); |
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540 |
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541 data_hid = H5Dopen (group_hid, "nc"); |
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542 space_hid = H5Dget_space (data_hid); |
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543 rank = H5Sget_simple_extent_ndims (space_hid); |
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544 |
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545 if (rank != 0) |
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546 { |
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547 H5Dclose (data_hid); |
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548 H5Gclose (group_hid); |
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549 return false; |
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550 } |
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551 |
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552 if (H5Dread (data_hid, H5T_NATIVE_INT, H5S_ALL, H5S_ALL, |
|
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553 H5P_DEFAULT, (void *) &nc) < 0) |
|
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554 { |
|
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555 H5Dclose (data_hid); |
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556 H5Gclose (group_hid); |
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557 return false; |
|
|
558 } |
|
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559 |
|
|
560 H5Dclose (data_hid); |
|
|
561 |
|
|
562 data_hid = H5Dopen (group_hid, "nz"); |
|
|
563 space_hid = H5Dget_space (data_hid); |
|
|
564 rank = H5Sget_simple_extent_ndims (space_hid); |
|
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565 |
|
|
566 if (rank != 0) |
|
|
567 { |
|
|
568 H5Dclose (data_hid); |
|
|
569 H5Gclose (group_hid); |
|
|
570 return false; |
|
|
571 } |
|
|
572 |
|
|
573 if (H5Dread (data_hid, H5T_NATIVE_INT, H5S_ALL, H5S_ALL, |
|
|
574 H5P_DEFAULT, (void *) &nz) < 0) |
|
|
575 { |
|
|
576 H5Dclose (data_hid); |
|
|
577 H5Gclose (group_hid); |
|
|
578 return false; |
|
|
579 } |
|
|
580 |
|
|
581 H5Dclose (data_hid); |
|
|
582 |
|
|
583 SparseMatrix m (nr, nc, nz); |
|
|
584 |
|
|
585 data_hid = H5Dopen (group_hid, "cidx"); |
|
|
586 space_hid = H5Dget_space (data_hid); |
|
|
587 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
588 |
|
|
589 if (rank != 2) |
|
|
590 { |
|
|
591 H5Sclose (space_hid); |
|
|
592 H5Dclose (data_hid); |
|
|
593 H5Gclose (group_hid); |
|
|
594 return false; |
|
|
595 } |
|
|
596 |
|
|
597 OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank); |
|
|
598 OCTAVE_LOCAL_BUFFER (hsize_t, maxdims, rank); |
|
|
599 |
|
|
600 H5Sget_simple_extent_dims (space_hid, hdims, maxdims); |
|
|
601 |
|
|
602 if (hdims[0] != nc + 1 || hdims[1] != 1) |
|
|
603 { |
|
|
604 H5Sclose (space_hid); |
|
|
605 H5Dclose (data_hid); |
|
|
606 H5Gclose (group_hid); |
|
|
607 return false; |
|
|
608 } |
|
|
609 |
|
|
610 int *itmp = m.xcidx (); |
|
|
611 if (H5Dread (data_hid, H5T_NATIVE_INT, H5S_ALL, H5S_ALL, |
|
|
612 H5P_DEFAULT, (void *) itmp) < 0) |
|
|
613 { |
|
|
614 H5Sclose (space_hid); |
|
|
615 H5Dclose (data_hid); |
|
|
616 H5Gclose (group_hid); |
|
|
617 return false; |
|
|
618 } |
|
|
619 |
|
|
620 H5Sclose (space_hid); |
|
|
621 H5Dclose (data_hid); |
|
|
622 |
|
|
623 data_hid = H5Dopen (group_hid, "ridx"); |
|
|
624 space_hid = H5Dget_space (data_hid); |
|
|
625 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
626 |
|
|
627 if (rank != 2) |
|
|
628 { |
|
|
629 H5Sclose (space_hid); |
|
|
630 H5Dclose (data_hid); |
|
|
631 H5Gclose (group_hid); |
|
|
632 return false; |
|
|
633 } |
|
|
634 |
|
|
635 H5Sget_simple_extent_dims (space_hid, hdims, maxdims); |
|
|
636 |
|
|
637 if (hdims[0] != nz || hdims[1] != 1) |
|
|
638 { |
|
|
639 H5Sclose (space_hid); |
|
|
640 H5Dclose (data_hid); |
|
|
641 H5Gclose (group_hid); |
|
|
642 return false; |
|
|
643 } |
|
|
644 |
|
|
645 itmp = m.xridx (); |
|
|
646 if (H5Dread (data_hid, H5T_NATIVE_INT, H5S_ALL, H5S_ALL, |
|
|
647 H5P_DEFAULT, (void *) itmp) < 0) |
|
|
648 { |
|
|
649 H5Sclose (space_hid); |
|
|
650 H5Dclose (data_hid); |
|
|
651 H5Gclose (group_hid); |
|
|
652 return false; |
|
|
653 } |
|
|
654 |
|
|
655 H5Sclose (space_hid); |
|
|
656 H5Dclose (data_hid); |
|
|
657 |
|
|
658 data_hid = H5Dopen (group_hid, "data"); |
|
|
659 space_hid = H5Dget_space (data_hid); |
|
|
660 rank = H5Sget_simple_extent_ndims (space_hid); |
|
|
661 |
|
|
662 if (rank != 2) |
|
|
663 { |
|
|
664 H5Sclose (space_hid); |
|
|
665 H5Dclose (data_hid); |
|
|
666 H5Gclose (group_hid); |
|
|
667 return false; |
|
|
668 } |
|
|
669 |
|
|
670 H5Sget_simple_extent_dims (space_hid, hdims, maxdims); |
|
|
671 |
|
|
672 if (hdims[0] != nz || hdims[1] != 1) |
|
|
673 { |
|
|
674 H5Sclose (space_hid); |
|
|
675 H5Dclose (data_hid); |
|
|
676 H5Gclose (group_hid); |
|
|
677 return false; |
|
|
678 } |
|
|
679 |
|
|
680 double *dtmp = m.xdata (); |
|
|
681 if (H5Dread (data_hid, H5T_NATIVE_DOUBLE, H5S_ALL, H5S_ALL, |
|
|
682 H5P_DEFAULT, (void *) dtmp) < 0) |
|
|
683 { |
|
|
684 H5Sclose (space_hid); |
|
|
685 H5Dclose (data_hid); |
|
|
686 H5Gclose (group_hid); |
|
|
687 return false; |
|
|
688 } |
|
|
689 |
|
|
690 H5Sclose (space_hid); |
|
|
691 H5Dclose (data_hid); |
|
|
692 H5Gclose (group_hid); |
|
|
693 |
|
|
694 matrix = m; |
|
|
695 |
|
|
696 return true; |
|
|
697 } |
|
|
698 #endif |
|
|
699 |
|
|
700 /* |
|
|
701 ;;; Local Variables: *** |
|
|
702 ;;; mode: C++ *** |
|
|
703 ;;; End: *** |
|
|
704 */ |
