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1 // N-D Array manipulations. |
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2 /* |
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3 |
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4 Copyright (C) 1996, 1997 John W. Eaton |
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5 |
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6 This file is part of Octave. |
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7 |
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8 Octave is free software; you can redistribute it and/or modify it |
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9 under the terms of the GNU General Public License as published by the |
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10 Free Software Foundation; either version 2, or (at your option) any |
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11 later version. |
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12 |
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13 Octave is distributed in the hope that it will be useful, but WITHOUT |
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14 ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or |
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15 FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License |
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16 for more details. |
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17 |
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18 You should have received a copy of the GNU General Public License |
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19 along with Octave; see the file COPYING. If not, write to the Free |
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20 Software Foundation, 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA. |
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21 |
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22 */ |
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23 |
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24 #if defined (__GNUG__) && defined (USE_PRAGMA_INTERFACE_IMPLEMENTATION) |
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25 #pragma implementation |
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26 #endif |
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27 |
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28 #ifdef HAVE_CONFIG_H |
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29 #include <config.h> |
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30 #endif |
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31 |
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32 #include "Array-util.h" |
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33 #include "dNDArray.h" |
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34 #include "mx-base.h" |
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35 #include "lo-error.h" |
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36 #include "lo-ieee.h" |
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37 |
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38 NDArray::NDArray (const boolNDArray& a) |
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39 : MArrayN<double> (a.dims ()) |
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40 { |
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41 for (int i = 0; i < a.length (); i++) |
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42 elem (i) = a.elem (i); |
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43 } |
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44 |
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45 NDArray::NDArray (const charNDArray& a) |
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46 : MArrayN<double> (a.dims ()) |
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47 { |
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48 for (int i = 0; i < a.length (); i++) |
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49 elem (i) = a.elem (i); |
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50 } |
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51 |
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52 // unary operations |
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53 |
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54 boolNDArray |
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55 NDArray::operator ! (void) const |
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56 { |
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57 boolNDArray b (dims ()); |
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58 |
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59 for (int i = 0; i < length (); i++) |
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60 b.elem (i) = ! elem (i); |
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61 |
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62 return b; |
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63 } |
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64 |
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65 // XXX FIXME XXX -- this is not quite the right thing. |
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66 |
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67 |
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68 boolNDArray |
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69 NDArray::all (int dim) const |
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70 { |
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71 MX_ND_ANY_ALL_REDUCTION (MX_ND_ALL_EVAL (MX_ND_ALL_EXPR), true); |
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72 } |
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73 |
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74 boolNDArray |
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75 NDArray::any (int dim) const |
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76 { |
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77 MX_ND_ANY_ALL_REDUCTION (MX_ND_ANY_EVAL (MX_ND_ANY_EXPR), false); |
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78 } |
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79 |
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80 NDArray |
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81 NDArray::cumprod (int dim) const |
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82 { |
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83 MX_ND_CUMULATIVE_OP (NDArray, double, 1, *); |
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84 } |
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85 |
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86 NDArray |
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87 NDArray::cumsum (int dim) const |
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88 { |
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89 MX_ND_CUMULATIVE_OP (NDArray, double, 0, +); |
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90 } |
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91 |
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92 NDArray |
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93 NDArray::prod (int dim) const |
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94 { |
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95 MX_ND_REAL_OP_REDUCTION (*= elem (iter_idx), 1); |
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96 } |
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97 |
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98 NDArray |
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99 NDArray::sumsq (int dim) const |
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100 { |
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101 MX_ND_REAL_OP_REDUCTION (+= std::pow (elem (iter_idx), 2), 0); |
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102 } |
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103 |
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104 NDArray |
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105 NDArray::sum (int dim) const |
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106 { |
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107 MX_ND_REAL_OP_REDUCTION (+= elem (iter_idx), 0); |
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108 } |
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109 |
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110 Matrix |
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111 NDArray::abs (void) const |
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112 { |
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113 Matrix retval; |
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114 |
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115 if (dims () . length () == 2) |
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116 { |
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117 int nr = rows (); |
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118 int nc = cols (); |
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119 |
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120 retval.resize (nr, nc); |
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121 |
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122 for (int j = 0; j < nc; j++) |
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123 for (int i = 0; i < nr; i++) |
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124 retval(i,j) = fabs (elem (i, j)); |
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125 } |
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126 else |
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127 (*current_liboctave_error_handler) |
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128 ("abs is not yet implemented for N-d arrays"); |
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129 |
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130 return retval; |
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131 } |
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132 |
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133 |
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134 Matrix |
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135 NDArray::matrix_value (void) const |
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136 { |
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137 Matrix retval; |
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138 |
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139 int nd = ndims (); |
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140 |
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141 switch (nd) |
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142 { |
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143 case 1: |
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144 retval = Matrix (Array2<double> (*this, dimensions(0), 1)); |
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145 break; |
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146 |
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147 case 2: |
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148 retval = Matrix (Array2<double> (*this, dimensions(0), dimensions(1))); |
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149 break; |
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150 |
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151 default: |
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152 (*current_liboctave_error_handler) |
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153 ("invalid converstion of NDArray to Matrix"); |
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154 break; |
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155 } |
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156 |
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157 return retval; |
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158 } |
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159 |
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160 void |
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161 NDArray::increment_index (Array<int>& ra_idx, |
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162 const dim_vector& dimensions, |
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163 int start_dimension) |
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164 { |
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165 ::increment_index (ra_idx, dimensions, start_dimension); |
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166 } |
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167 |
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168 int |
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169 NDArray::compute_index (Array<int>& ra_idx, |
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170 const dim_vector& dimensions) |
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171 { |
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172 return ::compute_index (ra_idx, dimensions); |
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173 } |
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174 |
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175 bool |
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176 NDArray::any_element_is_negative (bool neg_zero) const |
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177 { |
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178 int n = length (); |
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179 if (neg_zero) |
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180 { |
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181 for (int i = 0; i < n; i++) |
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182 if (lo_ieee_signbit (Array<double>::elem (i))) |
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183 return true; |
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184 } |
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185 else |
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186 { |
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187 for (int i = 0; i < n; i++) |
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188 if (Array<double>::elem (i) < 0) |
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189 return true; |
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190 } |
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191 |
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192 return false; |
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193 } |
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194 |
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195 bool |
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196 NDArray::all_integers (double& max_val, double& min_val) const |
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197 { |
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198 int n = length (); |
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199 |
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200 if (n > 0) |
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201 { |
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202 max_val = Array<double>::elem (0); |
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203 min_val = Array<double>::elem (0); |
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204 } |
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205 else |
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206 return false; |
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207 |
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208 for (int i = 0; i < n; i++) |
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209 { |
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210 double val = Array<double>::elem (0); |
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211 |
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212 if (val > max_val) |
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213 max_val = val; |
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214 |
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215 if (val < min_val) |
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216 min_val = val; |
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217 |
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218 if (D_NINT (val) != val) |
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219 return false; |
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220 } |
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221 |
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222 return true; |
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223 } |
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224 |
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225 NDS_CMP_OPS(NDArray, , double, ) |
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226 NDS_BOOL_OPS(NDArray, double, 0.0) |
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227 |
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228 SND_CMP_OPS(double, , NDArray, ) |
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229 SND_BOOL_OPS(double, NDArray, 0.0) |
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230 |
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231 NDND_CMP_OPS(NDArray, , NDArray, ) |
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232 NDND_BOOL_OPS(NDArray, NDArray, 0.0) |
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233 |
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234 /* |
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235 ;;; Local Variables: *** |
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236 ;;; mode: C++ *** |
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237 ;;; End: *** |
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238 */ |
