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1993
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1 // Template array classes |
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237
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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 <cassert> |
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33 #include <climits> |
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34 |
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35 #include <iostream> |
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36 |
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37 #include "Array.h" |
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38 #include "Array-flags.h" |
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39 #include "Array-util.h" |
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40 #include "Range.h" |
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41 #include "idx-vector.h" |
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42 #include "lo-error.h" |
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43 #include "lo-sstream.h" |
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44 |
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45 // One dimensional array class. Handles the reference counting for |
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46 // all the derived classes. |
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47 |
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48 template <class T> |
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49 Array<T>::~Array (void) |
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50 { |
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51 if (--rep->count <= 0) |
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52 delete rep; |
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53 |
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54 delete [] idx; |
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4513
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55 } |
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56 |
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57 template <class T> |
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58 Array<T> |
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59 Array<T>::squeeze (void) const |
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60 { |
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61 Array<T> retval = *this; |
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62 |
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63 bool dims_changed = false; |
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64 |
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65 dim_vector new_dimensions = dimensions; |
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66 |
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67 int k = 0; |
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68 |
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69 for (int i = 0; i < ndims (); i++) |
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70 { |
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71 if (dimensions(i) == 1) |
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72 dims_changed = true; |
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73 else |
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74 new_dimensions(k++) = dimensions(i); |
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75 } |
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76 |
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77 if (dims_changed) |
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78 { |
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4759
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79 switch (k) |
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80 { |
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81 case 0: |
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82 new_dimensions = dim_vector (1, 1); |
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83 break; |
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84 |
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85 case 1: |
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86 { |
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87 int tmp = new_dimensions(0); |
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88 |
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89 new_dimensions.resize (2); |
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90 |
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91 if (dimensions(0) == 1) |
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92 { |
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93 new_dimensions(0) = 1; |
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94 new_dimensions(1) = tmp; |
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95 } |
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96 else |
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97 { |
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98 new_dimensions(0) = tmp; |
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99 new_dimensions(1) = 1; |
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100 } |
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101 } |
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102 break; |
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103 |
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104 default: |
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105 new_dimensions.resize (k); |
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106 break; |
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107 } |
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108 |
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109 retval.make_unique (); |
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110 |
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111 retval.dimensions = new_dimensions; |
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112 } |
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113 |
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114 return retval; |
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115 } |
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116 |
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117 // A guess (should be quite conservative). |
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118 #define MALLOC_OVERHEAD 1024 |
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119 |
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120 template <class T> |
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121 int |
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122 Array<T>::get_size (int r, int c) |
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123 { |
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124 // XXX KLUGE XXX |
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125 |
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126 // If an allocation of an array with r * c elements of type T |
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127 // would cause an overflow in the allocator when computing the |
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128 // size of the allocation, then return a value which, although |
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129 // not equivalent to the actual request, should be too large for |
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130 // most current hardware, but not so large to cause the |
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131 // allocator to barf on computing retval * sizeof (T). |
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132 |
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133 static int nl; |
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134 static double dl |
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135 = frexp (static_cast<double> |
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136 (INT_MAX - MALLOC_OVERHEAD) / sizeof (T), &nl); |
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137 |
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138 // This value should be an integer. If we return this value and |
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139 // things work the way we expect, we should be paying a visit to |
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140 // new_handler in no time flat. |
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141 static int max_items = static_cast<int> (ldexp (dl, nl)); |
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142 |
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143 int nr, nc; |
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144 double dr = frexp (static_cast<double> (r), &nr); |
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145 double dc = frexp (static_cast<double> (c), &nc); |
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146 |
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147 int nt = nr + nc; |
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148 double dt = dr * dc; |
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149 |
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150 if (dt < 0.5) |
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151 { |
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152 nt--; |
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153 dt *= 2; |
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154 } |
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155 |
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156 return (nt < nl || (nt == nl && dt < dl)) ? r * c : max_items; |
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237
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157 } |
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158 |
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159 template <class T> |
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160 int |
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161 Array<T>::get_size (int r, int c, int p) |
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237
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162 { |
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163 // XXX KLUGE XXX |
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164 |
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165 // If an allocation of an array with r * c * p elements of type T |
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166 // would cause an overflow in the allocator when computing the |
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167 // size of the allocation, then return a value which, although |
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168 // not equivalent to the actual request, should be too large for |
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169 // most current hardware, but not so large to cause the |
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170 // allocator to barf on computing retval * sizeof (T). |
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171 |
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172 static int nl; |
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173 static double dl |
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174 = frexp (static_cast<double> |
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175 (INT_MAX - MALLOC_OVERHEAD) / sizeof (T), &nl); |
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176 |
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177 // This value should be an integer. If we return this value and |
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178 // things work the way we expect, we should be paying a visit to |
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179 // new_handler in no time flat. |
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180 static int max_items = static_cast<int> (ldexp (dl, nl)); |
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181 |
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182 int nr, nc, np; |
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183 double dr = frexp (static_cast<double> (r), &nr); |
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184 double dc = frexp (static_cast<double> (c), &nc); |
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185 double dp = frexp (static_cast<double> (p), &np); |
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186 |
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187 int nt = nr + nc + np; |
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188 double dt = dr * dc * dp; |
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189 |
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190 if (dt < 0.5) |
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659
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191 { |
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192 nt--; |
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193 dt *= 2; |
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194 |
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195 if (dt < 0.5) |
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196 { |
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197 nt--; |
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198 dt *= 2; |
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199 } |
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659
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200 } |
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201 |
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202 return (nt < nl || (nt == nl && dt < dl)) ? r * c * p : max_items; |
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237
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203 } |
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204 |
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205 template <class T> |
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206 int |
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207 Array<T>::get_size (const dim_vector& ra_idx) |
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208 { |
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209 // XXX KLUGE XXX |
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210 |
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211 // If an allocation of an array with r * c elements of type T |
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212 // would cause an overflow in the allocator when computing the |
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213 // size of the allocation, then return a value which, although |
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214 // not equivalent to the actual request, should be too large for |
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215 // most current hardware, but not so large to cause the |
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216 // allocator to barf on computing retval * sizeof (T). |
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217 |
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218 static int nl; |
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219 static double dl |
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220 = frexp (static_cast<double> |
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221 (INT_MAX - MALLOC_OVERHEAD) / sizeof (T), &nl); |
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222 |
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223 // This value should be an integer. If we return this value and |
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224 // things work the way we expect, we should be paying a visit to |
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225 // new_handler in no time flat. |
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226 |
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227 static int max_items = static_cast<int> (ldexp (dl, nl)); |
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228 |
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229 int retval = max_items; |
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230 |
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231 int n = ra_idx.length (); |
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232 |
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233 int nt = 0; |
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234 double dt = 1; |
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235 |
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236 for (int i = 0; i < n; i++) |
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237
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237 { |
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238 int nra_idx; |
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239 double dra_idx = frexp (static_cast<double> (ra_idx(i)), &nra_idx); |
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240 |
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241 nt += nra_idx; |
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242 dt *= dra_idx; |
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243 |
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244 if (dt < 0.5) |
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245 { |
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246 nt--; |
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247 dt *= 2; |
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248 } |
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237
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249 } |
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250 |
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251 if (nt < nl || (nt == nl && dt < dl)) |
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252 { |
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253 retval = 1; |
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254 |
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255 for (int i = 0; i < n; i++) |
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256 retval *= ra_idx(i); |
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257 } |
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258 |
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259 return retval; |
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237
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260 } |
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261 |
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262 #undef MALLOC_OVERHEAD |
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263 |
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237
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264 template <class T> |
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265 int |
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266 Array<T>::compute_index (const Array<int>& ra_idx) const |
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267 { |
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4513
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268 int retval = -1; |
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269 |
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270 int n = dimensions.length (); |
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271 |
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272 if (n > 0 && n == ra_idx.length ()) |
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273 { |
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274 retval = ra_idx(--n); |
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275 |
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276 while (--n >= 0) |
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277 { |
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278 retval *= dimensions(n); |
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279 retval += ra_idx(n); |
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280 } |
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281 } |
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282 else |
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283 (*current_liboctave_error_handler) |
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284 ("Array<T>::compute_index: invalid ra_idxing operation"); |
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285 |
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286 return retval; |
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237
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287 } |
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288 |
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289 template <class T> |
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290 T |
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291 Array<T>::range_error (const char *fcn, int n) const |
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292 { |
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293 (*current_liboctave_error_handler) ("%s (%d): range error", fcn, n); |
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294 return T (); |
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295 } |
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296 |
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297 template <class T> |
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298 T& |
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2109
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299 Array<T>::range_error (const char *fcn, int n) |
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300 { |
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2109
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301 (*current_liboctave_error_handler) ("%s (%d): range error", fcn, n); |
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2049
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302 static T foo; |
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303 return foo; |
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304 } |
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305 |
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3933
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306 template <class T> |
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307 T |
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308 Array<T>::range_error (const char *fcn, int i, int j) const |
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309 { |
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310 (*current_liboctave_error_handler) |
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311 ("%s (%d, %d): range error", fcn, i, j); |
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312 return T (); |
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313 } |
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314 |
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315 template <class T> |
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316 T& |
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317 Array<T>::range_error (const char *fcn, int i, int j) |
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318 { |
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319 (*current_liboctave_error_handler) |
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320 ("%s (%d, %d): range error", fcn, i, j); |
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321 static T foo; |
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322 return foo; |
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323 } |
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324 |
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325 template <class T> |
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326 T |
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327 Array<T>::range_error (const char *fcn, int i, int j, int k) const |
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328 { |
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329 (*current_liboctave_error_handler) |
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330 ("%s (%d, %d, %d): range error", fcn, i, j, k); |
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331 return T (); |
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332 } |
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333 |
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334 template <class T> |
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335 T& |
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336 Array<T>::range_error (const char *fcn, int i, int j, int k) |
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337 { |
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338 (*current_liboctave_error_handler) |
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339 ("%s (%d, %d, %d): range error", fcn, i, j, k); |
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340 static T foo; |
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341 return foo; |
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342 } |
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343 |
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344 template <class T> |
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345 T |
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346 Array<T>::range_error (const char *fcn, const Array<int>& ra_idx) const |
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347 { |
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4661
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348 OSSTREAM buf; |
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349 |
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350 buf << fcn << " ("; |
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351 |
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352 int n = ra_idx.length (); |
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353 |
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354 if (n > 0) |
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355 buf << ra_idx(0); |
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356 |
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357 for (int i = 1; i < n; i++) |
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358 buf << ", " << ra_idx(i); |
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359 |
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360 buf << "): range error"; |
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361 |
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362 buf << OSSTREAM_ENDS; |
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363 |
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364 (*current_liboctave_error_handler) (OSSTREAM_C_STR (buf)); |
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365 |
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366 OSSTREAM_FREEZE (buf); |
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367 |
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368 return T (); |
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369 } |
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370 |
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371 template <class T> |
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372 T& |
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373 Array<T>::range_error (const char *fcn, const Array<int>& ra_idx) |
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374 { |
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4661
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375 OSSTREAM buf; |
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376 |
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377 buf << fcn << " ("; |
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378 |
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379 int n = ra_idx.length (); |
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380 |
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381 if (n > 0) |
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382 buf << ra_idx(0); |
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383 |
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384 for (int i = 1; i < n; i++) |
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385 buf << ", " << ra_idx(i); |
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386 |
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387 buf << "): range error"; |
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388 |
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389 buf << OSSTREAM_ENDS; |
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390 |
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391 (*current_liboctave_error_handler) (OSSTREAM_C_STR (buf)); |
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392 |
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393 OSSTREAM_FREEZE (buf); |
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394 |
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395 static T foo; |
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396 return foo; |
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397 } |
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398 |
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399 template <class T> |
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4567
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400 Array<T> |
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401 Array<T>::reshape (const dim_vector& new_dims) const |
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402 { |
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403 Array<T> retval; |
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404 |
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405 if (dimensions != new_dims) |
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406 { |
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407 if (dimensions.numel () == new_dims.numel ()) |
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408 retval = Array<T> (*this, new_dims); |
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409 else |
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410 (*current_liboctave_error_handler) ("reshape: size mismatch"); |
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411 } |
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412 |
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413 return retval; |
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414 } |
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415 |
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416 template <class T> |
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4593
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417 Array<T> |
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418 Array<T>::permute (const Array<int>& perm_vec, bool inv) const |
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419 { |
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420 Array<T> retval; |
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421 |
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422 dim_vector dv = dims (); |
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423 dim_vector dv_new; |
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424 |
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425 int nd = dv.length (); |
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426 |
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427 dv_new.resize (nd); |
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428 |
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429 // Need this array to check for identical elements in permutation array. |
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430 Array<bool> checked (nd, false); |
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431 |
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432 // Find dimension vector of permuted array. |
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433 for (int i = 0; i < nd; i++) |
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434 { |
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435 int perm_el = perm_vec.elem (i); |
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436 |
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437 if (perm_el > dv.length () || perm_el < 1) |
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438 { |
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439 (*current_liboctave_error_handler) |
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440 ("permutation vector contains an invalid element"); |
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441 |
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442 return retval; |
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443 } |
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444 |
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445 if (checked.elem(perm_el - 1)) |
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446 { |
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447 (*current_liboctave_error_handler) |
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448 ("PERM cannot contain identical elements"); |
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449 |
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450 return retval; |
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451 } |
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452 else |
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453 checked.elem(perm_el - 1) = true; |
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454 |
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455 dv_new (i) = dv (perm_el - 1); |
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456 } |
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457 |
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458 retval.resize (dv_new); |
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459 |
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460 // Index array to the original array. |
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461 Array<int> old_idx (nd, 0); |
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462 |
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463 // Number of elements in Array (should be the same for |
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464 // both the permuted array and original array). |
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465 int n = retval.length (); |
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466 |
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467 // Permute array. |
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468 for (int i = 0; i < n; i++) |
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469 { |
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470 // Get the idx of permuted array. |
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471 Array<int> new_idx = calc_permutated_idx (old_idx, perm_vec, inv); |
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472 |
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473 retval.elem (new_idx) = elem (old_idx); |
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474 |
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475 increment_index (old_idx, dv); |
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476 } |
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477 |
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478 return retval; |
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479 } |
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480 |
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481 template <class T> |
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4513
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482 void |
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483 Array<T>::resize_no_fill (int n) |
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484 { |
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485 if (n < 0) |
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486 { |
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487 (*current_liboctave_error_handler) |
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488 ("can't resize to negative dimension"); |
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489 return; |
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490 } |
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491 |
|
|
492 if (n == length ()) |
|
|
493 return; |
|
|
494 |
|
|
495 typename Array<T>::ArrayRep *old_rep = rep; |
|
|
496 const T *old_data = data (); |
|
|
497 int old_len = length (); |
|
|
498 |
|
|
499 rep = new typename Array<T>::ArrayRep (n); |
|
|
500 |
|
|
501 dimensions = dim_vector (n); |
|
|
502 |
|
4747
|
503 if (n > 0 && old_data && old_len > 0) |
|
4513
|
504 { |
|
|
505 int min_len = old_len < n ? old_len : n; |
|
|
506 |
|
|
507 for (int i = 0; i < min_len; i++) |
|
|
508 xelem (i) = old_data[i]; |
|
|
509 } |
|
|
510 |
|
|
511 if (--old_rep->count <= 0) |
|
|
512 delete old_rep; |
|
|
513 } |
|
|
514 |
|
|
515 template <class T> |
|
|
516 void |
|
4587
|
517 Array<T>::resize_no_fill (const dim_vector& dv) |
|
4513
|
518 { |
|
4587
|
519 int n = dv.length (); |
|
4513
|
520 |
|
|
521 for (int i = 0; i < n; i++) |
|
|
522 { |
|
4587
|
523 if (dv(i) < 0) |
|
4513
|
524 { |
|
|
525 (*current_liboctave_error_handler) |
|
|
526 ("can't resize to negative dimension"); |
|
|
527 return; |
|
|
528 } |
|
|
529 } |
|
|
530 |
|
4548
|
531 bool same_size = true; |
|
|
532 |
|
|
533 if (dimensions.length () != n) |
|
|
534 { |
|
|
535 same_size = false; |
|
|
536 } |
|
|
537 else |
|
4513
|
538 { |
|
4548
|
539 for (int i = 0; i < n; i++) |
|
4513
|
540 { |
|
4587
|
541 if (dv(i) != dimensions(i)) |
|
4548
|
542 { |
|
|
543 same_size = false; |
|
|
544 break; |
|
|
545 } |
|
4513
|
546 } |
|
|
547 } |
|
|
548 |
|
4548
|
549 if (same_size) |
|
4513
|
550 return; |
|
|
551 |
|
|
552 int old_len = length (); |
|
|
553 |
|
|
554 typename Array<T>::ArrayRep *old_rep = rep; |
|
|
555 const T *old_data = data (); |
|
|
556 |
|
4747
|
557 int ts = get_size (dv); |
|
|
558 |
|
|
559 rep = new typename Array<T>::ArrayRep (ts); |
|
4587
|
560 |
|
|
561 dimensions = dv; |
|
4513
|
562 |
|
4747
|
563 if (ts > 0) |
|
4513
|
564 { |
|
4747
|
565 Array<int> ra_idx (dimensions.length (), 0); |
|
|
566 |
|
|
567 for (int i = 0; i < old_len; i++) |
|
|
568 { |
|
|
569 if (index_in_bounds (ra_idx, dimensions)) |
|
|
570 xelem (ra_idx) = old_data[i]; |
|
|
571 |
|
|
572 increment_index (ra_idx, dimensions); |
|
|
573 } |
|
4513
|
574 } |
|
|
575 |
|
|
576 if (--old_rep->count <= 0) |
|
|
577 delete old_rep; |
|
|
578 } |
|
|
579 |
|
|
580 template <class T> |
|
|
581 void |
|
|
582 Array<T>::resize_no_fill (int r, int c) |
|
|
583 { |
|
|
584 if (r < 0 || c < 0) |
|
|
585 { |
|
|
586 (*current_liboctave_error_handler) |
|
|
587 ("can't resize to negative dimension"); |
|
|
588 return; |
|
|
589 } |
|
|
590 |
|
4548
|
591 int n = ndims (); |
|
|
592 |
|
|
593 if (n == 0) |
|
|
594 dimensions = dim_vector (0, 0); |
|
|
595 |
|
|
596 assert (ndims () == 2); |
|
|
597 |
|
4513
|
598 if (r == dim1 () && c == dim2 ()) |
|
|
599 return; |
|
|
600 |
|
|
601 typename Array<T>::ArrayRep *old_rep = Array<T>::rep; |
|
|
602 const T *old_data = data (); |
|
|
603 |
|
|
604 int old_d1 = dim1 (); |
|
|
605 int old_d2 = dim2 (); |
|
|
606 int old_len = length (); |
|
|
607 |
|
4747
|
608 int ts = get_size (r, c); |
|
|
609 |
|
|
610 rep = new typename Array<T>::ArrayRep (ts); |
|
4513
|
611 |
|
|
612 dimensions = dim_vector (r, c); |
|
|
613 |
|
4747
|
614 if (ts > 0 && old_data && old_len > 0) |
|
4513
|
615 { |
|
|
616 int min_r = old_d1 < r ? old_d1 : r; |
|
|
617 int min_c = old_d2 < c ? old_d2 : c; |
|
|
618 |
|
|
619 for (int j = 0; j < min_c; j++) |
|
|
620 for (int i = 0; i < min_r; i++) |
|
|
621 xelem (i, j) = old_data[old_d1*j+i]; |
|
|
622 } |
|
|
623 |
|
|
624 if (--old_rep->count <= 0) |
|
|
625 delete old_rep; |
|
|
626 } |
|
|
627 |
|
|
628 template <class T> |
|
|
629 void |
|
|
630 Array<T>::resize_no_fill (int r, int c, int p) |
|
|
631 { |
|
|
632 if (r < 0 || c < 0 || p < 0) |
|
|
633 { |
|
|
634 (*current_liboctave_error_handler) |
|
|
635 ("can't resize to negative dimension"); |
|
|
636 return; |
|
|
637 } |
|
|
638 |
|
4548
|
639 int n = ndims (); |
|
|
640 |
|
|
641 if (n == 0) |
|
|
642 dimensions = dim_vector (0, 0, 0); |
|
|
643 |
|
|
644 assert (ndims () == 3); |
|
|
645 |
|
4513
|
646 if (r == dim1 () && c == dim2 () && p == dim3 ()) |
|
|
647 return; |
|
|
648 |
|
|
649 typename Array<T>::ArrayRep *old_rep = rep; |
|
|
650 const T *old_data = data (); |
|
|
651 |
|
|
652 int old_d1 = dim1 (); |
|
|
653 int old_d2 = dim2 (); |
|
|
654 int old_d3 = dim3 (); |
|
|
655 int old_len = length (); |
|
|
656 |
|
|
657 int ts = get_size (get_size (r, c), p); |
|
|
658 |
|
|
659 rep = new typename Array<T>::ArrayRep (ts); |
|
|
660 |
|
|
661 dimensions = dim_vector (r, c, p); |
|
|
662 |
|
4747
|
663 if (ts > 0 && old_data && old_len > 0) |
|
4513
|
664 { |
|
|
665 int min_r = old_d1 < r ? old_d1 : r; |
|
|
666 int min_c = old_d2 < c ? old_d2 : c; |
|
|
667 int min_p = old_d3 < p ? old_d3 : p; |
|
|
668 |
|
|
669 for (int k = 0; k < min_p; k++) |
|
|
670 for (int j = 0; j < min_c; j++) |
|
|
671 for (int i = 0; i < min_r; i++) |
|
|
672 xelem (i, j, k) = old_data[old_d1*(old_d2*k+j)+i]; |
|
|
673 } |
|
|
674 |
|
|
675 if (--old_rep->count <= 0) |
|
|
676 delete old_rep; |
|
|
677 } |
|
|
678 |
|
|
679 template <class T> |
|
|
680 void |
|
|
681 Array<T>::resize_and_fill (int n, const T& val) |
|
|
682 { |
|
|
683 if (n < 0) |
|
|
684 { |
|
|
685 (*current_liboctave_error_handler) |
|
|
686 ("can't resize to negative dimension"); |
|
|
687 return; |
|
|
688 } |
|
|
689 |
|
|
690 if (n == length ()) |
|
|
691 return; |
|
|
692 |
|
|
693 typename Array<T>::ArrayRep *old_rep = rep; |
|
|
694 const T *old_data = data (); |
|
|
695 int old_len = length (); |
|
|
696 |
|
|
697 rep = new typename Array<T>::ArrayRep (n); |
|
|
698 |
|
|
699 dimensions = dim_vector (n); |
|
|
700 |
|
4747
|
701 if (n > 0) |
|
4513
|
702 { |
|
4747
|
703 int min_len = old_len < n ? old_len : n; |
|
|
704 |
|
|
705 if (old_data && old_len > 0) |
|
|
706 { |
|
|
707 for (int i = 0; i < min_len; i++) |
|
|
708 xelem (i) = old_data[i]; |
|
|
709 } |
|
|
710 |
|
|
711 for (int i = old_len; i < n; i++) |
|
|
712 xelem (i) = val; |
|
4513
|
713 } |
|
|
714 |
|
|
715 if (--old_rep->count <= 0) |
|
|
716 delete old_rep; |
|
|
717 } |
|
|
718 |
|
|
719 template <class T> |
|
|
720 void |
|
|
721 Array<T>::resize_and_fill (int r, int c, const T& val) |
|
|
722 { |
|
|
723 if (r < 0 || c < 0) |
|
|
724 { |
|
|
725 (*current_liboctave_error_handler) |
|
|
726 ("can't resize to negative dimension"); |
|
|
727 return; |
|
|
728 } |
|
|
729 |
|
4548
|
730 if (ndims () == 0) |
|
|
731 dimensions = dim_vector (0, 0); |
|
|
732 |
|
|
733 assert (ndims () == 2); |
|
|
734 |
|
4513
|
735 if (r == dim1 () && c == dim2 ()) |
|
|
736 return; |
|
|
737 |
|
|
738 typename Array<T>::ArrayRep *old_rep = Array<T>::rep; |
|
|
739 const T *old_data = data (); |
|
|
740 |
|
|
741 int old_d1 = dim1 (); |
|
|
742 int old_d2 = dim2 (); |
|
|
743 int old_len = length (); |
|
|
744 |
|
4747
|
745 int ts = get_size (r, c); |
|
|
746 |
|
|
747 rep = new typename Array<T>::ArrayRep (ts); |
|
4513
|
748 |
|
|
749 dimensions = dim_vector (r, c); |
|
|
750 |
|
4747
|
751 if (ts > 0) |
|
4513
|
752 { |
|
4747
|
753 int min_r = old_d1 < r ? old_d1 : r; |
|
|
754 int min_c = old_d2 < c ? old_d2 : c; |
|
|
755 |
|
|
756 if (old_data && old_len > 0) |
|
|
757 { |
|
|
758 for (int j = 0; j < min_c; j++) |
|
|
759 for (int i = 0; i < min_r; i++) |
|
|
760 xelem (i, j) = old_data[old_d1*j+i]; |
|
|
761 } |
|
|
762 |
|
4513
|
763 for (int j = 0; j < min_c; j++) |
|
4747
|
764 for (int i = min_r; i < r; i++) |
|
|
765 xelem (i, j) = val; |
|
|
766 |
|
|
767 for (int j = min_c; j < c; j++) |
|
|
768 for (int i = 0; i < r; i++) |
|
|
769 xelem (i, j) = val; |
|
4513
|
770 } |
|
|
771 |
|
|
772 if (--old_rep->count <= 0) |
|
|
773 delete old_rep; |
|
|
774 } |
|
|
775 |
|
|
776 template <class T> |
|
|
777 void |
|
|
778 Array<T>::resize_and_fill (int r, int c, int p, const T& val) |
|
|
779 { |
|
|
780 if (r < 0 || c < 0 || p < 0) |
|
|
781 { |
|
|
782 (*current_liboctave_error_handler) |
|
|
783 ("can't resize to negative dimension"); |
|
|
784 return; |
|
|
785 } |
|
|
786 |
|
4548
|
787 if (ndims () == 0) |
|
|
788 dimensions = dim_vector (0, 0, 0); |
|
|
789 |
|
|
790 assert (ndims () == 3); |
|
|
791 |
|
4513
|
792 if (r == dim1 () && c == dim2 () && p == dim3 ()) |
|
|
793 return; |
|
|
794 |
|
|
795 typename Array<T>::ArrayRep *old_rep = rep; |
|
|
796 const T *old_data = data (); |
|
|
797 |
|
|
798 int old_d1 = dim1 (); |
|
|
799 int old_d2 = dim2 (); |
|
|
800 int old_d3 = dim3 (); |
|
|
801 |
|
|
802 int old_len = length (); |
|
|
803 |
|
|
804 int ts = get_size (get_size (r, c), p); |
|
|
805 |
|
|
806 rep = new typename Array<T>::ArrayRep (ts); |
|
|
807 |
|
|
808 dimensions = dim_vector (r, c, p); |
|
|
809 |
|
4747
|
810 if (ts > 0) |
|
|
811 { |
|
|
812 int min_r = old_d1 < r ? old_d1 : r; |
|
|
813 int min_c = old_d2 < c ? old_d2 : c; |
|
|
814 int min_p = old_d3 < p ? old_d3 : p; |
|
|
815 |
|
|
816 if (old_data && old_len > 0) |
|
|
817 for (int k = 0; k < min_p; k++) |
|
|
818 for (int j = 0; j < min_c; j++) |
|
|
819 for (int i = 0; i < min_r; i++) |
|
|
820 xelem (i, j, k) = old_data[old_d1*(old_d2*k+j)+i]; |
|
|
821 |
|
|
822 // XXX FIXME XXX -- if the copy constructor is expensive, this |
|
|
823 // may win. Otherwise, it may make more sense to just copy the |
|
|
824 // value everywhere when making the new ArrayRep. |
|
|
825 |
|
|
826 for (int k = 0; k < min_p; k++) |
|
|
827 for (int j = min_c; j < c; j++) |
|
|
828 for (int i = 0; i < min_r; i++) |
|
|
829 xelem (i, j, k) = val; |
|
|
830 |
|
|
831 for (int k = 0; k < min_p; k++) |
|
|
832 for (int j = 0; j < c; j++) |
|
|
833 for (int i = min_r; i < r; i++) |
|
|
834 xelem (i, j, k) = val; |
|
|
835 |
|
|
836 for (int k = min_p; k < p; k++) |
|
|
837 for (int j = 0; j < c; j++) |
|
|
838 for (int i = 0; i < r; i++) |
|
|
839 xelem (i, j, k) = val; |
|
|
840 } |
|
4513
|
841 |
|
|
842 if (--old_rep->count <= 0) |
|
|
843 delete old_rep; |
|
|
844 } |
|
|
845 |
|
|
846 template <class T> |
|
|
847 void |
|
4587
|
848 Array<T>::resize_and_fill (const dim_vector& dv, const T& val) |
|
4513
|
849 { |
|
4587
|
850 int n = dv.length (); |
|
4513
|
851 |
|
|
852 for (int i = 0; i < n; i++) |
|
|
853 { |
|
4587
|
854 if (dv(i) < 0) |
|
4513
|
855 { |
|
|
856 (*current_liboctave_error_handler) |
|
|
857 ("can't resize to negative dimension"); |
|
|
858 return; |
|
|
859 } |
|
|
860 } |
|
|
861 |
|
4553
|
862 bool same_size = true; |
|
|
863 |
|
|
864 if (dimensions.length () != n) |
|
|
865 { |
|
|
866 same_size = false; |
|
|
867 } |
|
|
868 else |
|
4513
|
869 { |
|
4553
|
870 for (int i = 0; i < n; i++) |
|
4513
|
871 { |
|
4587
|
872 if (dv(i) != dimensions(i)) |
|
4553
|
873 { |
|
|
874 same_size = false; |
|
|
875 break; |
|
|
876 } |
|
4513
|
877 } |
|
|
878 } |
|
|
879 |
|
4553
|
880 if (same_size) |
|
4513
|
881 return; |
|
|
882 |
|
|
883 typename Array<T>::ArrayRep *old_rep = rep; |
|
|
884 const T *old_data = data (); |
|
|
885 |
|
|
886 int old_len = length (); |
|
|
887 |
|
4587
|
888 int len = get_size (dv); |
|
4709
|
889 |
|
4513
|
890 rep = new typename Array<T>::ArrayRep (len); |
|
|
891 |
|
4707
|
892 dim_vector dv_old = dimensions; |
|
4709
|
893 |
|
4796
|
894 int dv_old_orig_len = dv_old.length (); |
|
|
895 |
|
|
896 if (n > dv_old_orig_len) |
|
4708
|
897 { |
|
|
898 dv_old.resize (n); |
|
4709
|
899 |
|
4796
|
900 for (int i = dv_old_orig_len; i < n; i++) |
|
4708
|
901 dv_old.elem (i) = 1; |
|
|
902 } |
|
|
903 |
|
4587
|
904 dimensions = dv; |
|
4513
|
905 |
|
4747
|
906 if (len > 0) |
|
4513
|
907 { |
|
4747
|
908 Array<int> ra_idx (dimensions.length (), 0); |
|
|
909 |
|
|
910 // XXX FIXME XXX -- it is much simpler to fill the whole array |
|
|
911 // first, but probably slower for large arrays, or if the assignment |
|
|
912 // operator for the type T is expensive. OTOH, the logic for |
|
|
913 // deciding whether an element needs the copied value or the filled |
|
|
914 // value might be more expensive. |
|
|
915 |
|
|
916 for (int i = 0; i < len; i++) |
|
|
917 rep->elem (i) = val; |
|
|
918 |
|
|
919 for (int i = 0; i < old_len; i++) |
|
|
920 { |
|
|
921 if (index_in_bounds (ra_idx, dv_old)) |
|
|
922 xelem (ra_idx) = old_data[get_scalar_idx (ra_idx, dv_old)]; |
|
|
923 |
|
|
924 increment_index (ra_idx, dv_old); |
|
|
925 } |
|
4513
|
926 } |
|
|
927 |
|
|
928 if (--old_rep->count <= 0) |
|
|
929 delete old_rep; |
|
|
930 } |
|
|
931 |
|
|
932 template <class T> |
|
|
933 Array<T>& |
|
|
934 Array<T>::insert (const Array<T>& a, int r, int c) |
|
|
935 { |
|
4786
|
936 if (ndims () == 2 && a.ndims () == 2) |
|
|
937 insert2 (a, r, c); |
|
|
938 else |
|
|
939 insertN (a, r, c); |
|
|
940 |
|
|
941 return *this; |
|
|
942 } |
|
|
943 |
|
|
944 |
|
|
945 template <class T> |
|
|
946 Array<T>& |
|
|
947 Array<T>::insert2 (const Array<T>& a, int r, int c) |
|
|
948 { |
|
|
949 int a_rows = a.rows (); |
|
|
950 int a_cols = a.cols (); |
|
|
951 |
|
|
952 if (r < 0 || r + a_rows > rows () || c < 0 || c + a_cols > cols ()) |
|
|
953 { |
|
|
954 (*current_liboctave_error_handler) ("range error for insert"); |
|
|
955 return *this; |
|
|
956 } |
|
|
957 |
|
|
958 for (int j = 0; j < a_cols; j++) |
|
|
959 for (int i = 0; i < a_rows; i++) |
|
|
960 elem (r+i, c+j) = a.elem (i, j); |
|
|
961 |
|
|
962 return *this; |
|
|
963 } |
|
|
964 |
|
|
965 template <class T> |
|
|
966 Array<T>& |
|
|
967 Array<T>::insertN (const Array<T>& a, int r, int c) |
|
|
968 { |
|
4806
|
969 dim_vector dv = dims (); |
|
|
970 |
|
4765
|
971 dim_vector a_dv = a.dims (); |
|
|
972 |
|
|
973 int n = a_dv.length (); |
|
|
974 |
|
|
975 if (n == dimensions.length ()) |
|
4513
|
976 { |
|
4765
|
977 Array<int> a_ra_idx (a_dv.length (), 0); |
|
|
978 |
|
|
979 a_ra_idx.elem (0) = r; |
|
|
980 a_ra_idx.elem (1) = c; |
|
|
981 |
|
|
982 for (int i = 0; i < n; i++) |
|
|
983 { |
|
4806
|
984 if (a_ra_idx(i) < 0 || (a_ra_idx(i) + a_dv(i)) > dv(i)) |
|
4765
|
985 { |
|
|
986 (*current_liboctave_error_handler) |
|
|
987 ("Array<T>::insert: range error for insert"); |
|
|
988 return *this; |
|
|
989 } |
|
|
990 } |
|
|
991 |
|
|
992 int n_elt = a.numel (); |
|
4806
|
993 |
|
|
994 const T *a_data = a.data (); |
|
|
995 |
|
|
996 int iidx = 0; |
|
|
997 |
|
|
998 int a_rows = a_dv(0); |
|
|
999 |
|
|
1000 int this_rows = dv(0); |
|
|
1001 |
|
|
1002 int numel_page = a_dv(0) * a_dv(1); |
|
|
1003 |
|
|
1004 int count_pages = 0; |
|
|
1005 |
|
4765
|
1006 for (int i = 0; i < n_elt; i++) |
|
|
1007 { |
|
4806
|
1008 if (i != 0 && i % a_rows == 0) |
|
|
1009 iidx += (this_rows - a_rows); |
|
|
1010 |
|
|
1011 if (i % numel_page == 0) |
|
|
1012 iidx = c * dv(0) + r + dv(0) * dv(1) * count_pages++; |
|
|
1013 |
|
|
1014 elem (iidx++) = a_data[i]; |
|
4765
|
1015 } |
|
4513
|
1016 } |
|
4765
|
1017 else |
|
|
1018 (*current_liboctave_error_handler) |
|
|
1019 ("Array<T>::insert: invalid indexing operation"); |
|
4513
|
1020 |
|
|
1021 return *this; |
|
|
1022 } |
|
|
1023 |
|
|
1024 template <class T> |
|
|
1025 Array<T>& |
|
|
1026 Array<T>::insert (const Array<T>& a, const Array<int>& ra_idx) |
|
|
1027 { |
|
|
1028 int n = ra_idx.length (); |
|
|
1029 |
|
|
1030 if (n == dimensions.length ()) |
|
|
1031 { |
|
|
1032 dim_vector a_dims = a.dims (); |
|
|
1033 |
|
|
1034 for (int i = 0; i < n; i++) |
|
|
1035 { |
|
|
1036 if (ra_idx(i) < 0 || ra_idx(i) + a_dims(i) > dimensions(i)) |
|
|
1037 { |
|
|
1038 (*current_liboctave_error_handler) |
|
|
1039 ("Array<T>::insert: range error for insert"); |
|
|
1040 return *this; |
|
|
1041 } |
|
|
1042 } |
|
|
1043 |
|
4765
|
1044 |
|
4513
|
1045 #if 0 |
|
|
1046 // XXX FIXME XXX -- need to copy elements |
|
|
1047 |
|
|
1048 for (int j = 0; j < a_cols; j++) |
|
|
1049 for (int i = 0; i < a_rows; i++) |
|
|
1050 elem (r+i, c+j) = a.elem (i, j); |
|
|
1051 #endif |
|
|
1052 |
|
|
1053 } |
|
|
1054 else |
|
|
1055 (*current_liboctave_error_handler) |
|
|
1056 ("Array<T>::insert: invalid indexing operation"); |
|
|
1057 |
|
|
1058 return *this; |
|
|
1059 } |
|
|
1060 |
|
|
1061 template <class T> |
|
|
1062 Array<T> |
|
|
1063 Array<T>::transpose (void) const |
|
|
1064 { |
|
4548
|
1065 assert (ndims () == 2); |
|
|
1066 |
|
4513
|
1067 int nr = dim1 (); |
|
|
1068 int nc = dim2 (); |
|
|
1069 |
|
|
1070 if (nr > 1 && nc > 1) |
|
|
1071 { |
|
|
1072 Array<T> result (dim_vector (nc, nr)); |
|
|
1073 |
|
|
1074 for (int j = 0; j < nc; j++) |
|
|
1075 for (int i = 0; i < nr; i++) |
|
|
1076 result.xelem (j, i) = xelem (i, j); |
|
|
1077 |
|
|
1078 return result; |
|
|
1079 } |
|
|
1080 else |
|
|
1081 { |
|
|
1082 // Fast transpose for vectors and empty matrices |
|
|
1083 return Array<T> (*this, dim_vector (nc, nr)); |
|
|
1084 } |
|
|
1085 } |
|
|
1086 |
|
|
1087 template <class T> |
|
|
1088 T * |
|
|
1089 Array<T>::fortran_vec (void) |
|
|
1090 { |
|
|
1091 if (rep->count > 1) |
|
|
1092 { |
|
|
1093 --rep->count; |
|
|
1094 rep = new typename Array<T>::ArrayRep (*rep); |
|
|
1095 } |
|
|
1096 return rep->data; |
|
|
1097 } |
|
|
1098 |
|
|
1099 template <class T> |
|
3933
|
1100 void |
|
4517
|
1101 Array<T>::maybe_delete_dims (void) |
|
|
1102 { |
|
4587
|
1103 int nd = dimensions.length (); |
|
4517
|
1104 |
|
|
1105 dim_vector new_dims (1, 1); |
|
|
1106 |
|
|
1107 bool delete_dims = true; |
|
|
1108 |
|
4587
|
1109 for (int i = nd - 1; i >= 0; i--) |
|
4517
|
1110 { |
|
|
1111 if (delete_dims) |
|
|
1112 { |
|
|
1113 if (dimensions(i) != 1) |
|
|
1114 { |
|
|
1115 delete_dims = false; |
|
|
1116 |
|
|
1117 new_dims = dim_vector (i + 1, dimensions(i)); |
|
|
1118 } |
|
|
1119 } |
|
|
1120 else |
|
|
1121 new_dims(i) = dimensions(i); |
|
|
1122 } |
|
4530
|
1123 |
|
4587
|
1124 if (nd != new_dims.length ()) |
|
4517
|
1125 dimensions = new_dims; |
|
|
1126 } |
|
|
1127 |
|
|
1128 template <class T> |
|
|
1129 void |
|
|
1130 Array<T>::clear_index (void) |
|
|
1131 { |
|
|
1132 delete [] idx; |
|
|
1133 idx = 0; |
|
|
1134 idx_count = 0; |
|
|
1135 } |
|
|
1136 |
|
|
1137 template <class T> |
|
|
1138 void |
|
|
1139 Array<T>::set_index (const idx_vector& idx_arg) |
|
|
1140 { |
|
|
1141 int nd = ndims (); |
|
|
1142 |
|
|
1143 if (! idx && nd > 0) |
|
|
1144 idx = new idx_vector [nd]; |
|
|
1145 |
|
|
1146 if (idx_count < nd) |
|
|
1147 { |
|
|
1148 idx[idx_count++] = idx_arg; |
|
|
1149 } |
|
|
1150 else |
|
|
1151 { |
|
|
1152 idx_vector *new_idx = new idx_vector [idx_count+1]; |
|
|
1153 |
|
|
1154 for (int i = 0; i < idx_count; i++) |
|
|
1155 new_idx[i] = idx[i]; |
|
|
1156 |
|
|
1157 new_idx[idx_count++] = idx_arg; |
|
|
1158 |
|
|
1159 delete [] idx; |
|
|
1160 |
|
|
1161 idx = new_idx; |
|
|
1162 } |
|
|
1163 } |
|
|
1164 |
|
|
1165 template <class T> |
|
|
1166 void |
|
|
1167 Array<T>::maybe_delete_elements (idx_vector& idx_arg) |
|
|
1168 { |
|
|
1169 switch (ndims ()) |
|
|
1170 { |
|
|
1171 case 1: |
|
|
1172 maybe_delete_elements_1 (idx_arg); |
|
|
1173 break; |
|
|
1174 |
|
|
1175 case 2: |
|
|
1176 maybe_delete_elements_2 (idx_arg); |
|
|
1177 break; |
|
|
1178 |
|
|
1179 default: |
|
|
1180 (*current_liboctave_error_handler) |
|
|
1181 ("Array<T>::maybe_delete_elements: invalid operation"); |
|
|
1182 break; |
|
|
1183 } |
|
|
1184 } |
|
|
1185 |
|
|
1186 template <class T> |
|
|
1187 void |
|
|
1188 Array<T>::maybe_delete_elements_1 (idx_vector& idx_arg) |
|
|
1189 { |
|
|
1190 int len = length (); |
|
|
1191 |
|
|
1192 if (len == 0) |
|
|
1193 return; |
|
|
1194 |
|
|
1195 if (idx_arg.is_colon_equiv (len, 1)) |
|
|
1196 resize_no_fill (0); |
|
|
1197 else |
|
|
1198 { |
|
|
1199 int num_to_delete = idx_arg.length (len); |
|
|
1200 |
|
|
1201 if (num_to_delete != 0) |
|
|
1202 { |
|
|
1203 int new_len = len; |
|
|
1204 |
|
|
1205 int iidx = 0; |
|
|
1206 |
|
|
1207 for (int i = 0; i < len; i++) |
|
|
1208 if (i == idx_arg.elem (iidx)) |
|
|
1209 { |
|
|
1210 iidx++; |
|
|
1211 new_len--; |
|
|
1212 |
|
|
1213 if (iidx == num_to_delete) |
|
|
1214 break; |
|
|
1215 } |
|
|
1216 |
|
|
1217 if (new_len > 0) |
|
|
1218 { |
|
|
1219 T *new_data = new T [new_len]; |
|
|
1220 |
|
|
1221 int ii = 0; |
|
|
1222 iidx = 0; |
|
|
1223 for (int i = 0; i < len; i++) |
|
|
1224 { |
|
|
1225 if (iidx < num_to_delete && i == idx_arg.elem (iidx)) |
|
|
1226 iidx++; |
|
|
1227 else |
|
|
1228 { |
|
|
1229 new_data[ii] = elem (i); |
|
|
1230 ii++; |
|
|
1231 } |
|
|
1232 } |
|
|
1233 |
|
|
1234 if (--rep->count <= 0) |
|
|
1235 delete rep; |
|
|
1236 |
|
|
1237 rep = new typename Array<T>::ArrayRep (new_data, new_len); |
|
|
1238 |
|
|
1239 dimensions.resize (1); |
|
|
1240 dimensions(0) = new_len; |
|
|
1241 } |
|
|
1242 else |
|
|
1243 (*current_liboctave_error_handler) |
|
|
1244 ("A(idx) = []: index out of range"); |
|
|
1245 } |
|
|
1246 } |
|
|
1247 } |
|
|
1248 |
|
|
1249 template <class T> |
|
|
1250 void |
|
|
1251 Array<T>::maybe_delete_elements_2 (idx_vector& idx_arg) |
|
|
1252 { |
|
4548
|
1253 assert (ndims () == 2); |
|
|
1254 |
|
4517
|
1255 int nr = dim1 (); |
|
|
1256 int nc = dim2 (); |
|
|
1257 |
|
|
1258 if (nr == 0 && nc == 0) |
|
|
1259 return; |
|
|
1260 |
|
|
1261 int n; |
|
|
1262 if (nr == 1) |
|
|
1263 n = nc; |
|
|
1264 else if (nc == 1) |
|
|
1265 n = nr; |
|
|
1266 else |
|
|
1267 { |
|
4756
|
1268 // Reshape to row vector for Matlab compatibility. |
|
|
1269 |
|
|
1270 n = nr * nc; |
|
|
1271 nr = 1; |
|
|
1272 nc = n; |
|
4517
|
1273 } |
|
|
1274 |
|
|
1275 if (idx_arg.is_colon_equiv (n, 1)) |
|
|
1276 { |
|
|
1277 // Either A(:) = [] or A(idx) = [] with idx enumerating all |
|
|
1278 // elements, so we delete all elements and return [](0x0). To |
|
|
1279 // preserve the orientation of the vector, you have to use |
|
|
1280 // A(idx,:) = [] (delete rows) or A(:,idx) (delete columns). |
|
|
1281 |
|
|
1282 resize_no_fill (0, 0); |
|
|
1283 return; |
|
|
1284 } |
|
|
1285 |
|
|
1286 idx_arg.sort (true); |
|
|
1287 |
|
|
1288 int num_to_delete = idx_arg.length (n); |
|
|
1289 |
|
|
1290 if (num_to_delete != 0) |
|
|
1291 { |
|
|
1292 int new_n = n; |
|
|
1293 |
|
|
1294 int iidx = 0; |
|
|
1295 |
|
|
1296 for (int i = 0; i < n; i++) |
|
|
1297 if (i == idx_arg.elem (iidx)) |
|
|
1298 { |
|
|
1299 iidx++; |
|
|
1300 new_n--; |
|
|
1301 |
|
|
1302 if (iidx == num_to_delete) |
|
|
1303 break; |
|
|
1304 } |
|
|
1305 |
|
|
1306 if (new_n > 0) |
|
|
1307 { |
|
|
1308 T *new_data = new T [new_n]; |
|
|
1309 |
|
|
1310 int ii = 0; |
|
|
1311 iidx = 0; |
|
|
1312 for (int i = 0; i < n; i++) |
|
|
1313 { |
|
|
1314 if (iidx < num_to_delete && i == idx_arg.elem (iidx)) |
|
|
1315 iidx++; |
|
|
1316 else |
|
|
1317 { |
|
4756
|
1318 new_data[ii] = elem (i); |
|
4517
|
1319 |
|
|
1320 ii++; |
|
|
1321 } |
|
|
1322 } |
|
|
1323 |
|
|
1324 if (--(Array<T>::rep)->count <= 0) |
|
|
1325 delete Array<T>::rep; |
|
|
1326 |
|
|
1327 Array<T>::rep = new typename Array<T>::ArrayRep (new_data, new_n); |
|
|
1328 |
|
|
1329 dimensions.resize (2); |
|
|
1330 |
|
|
1331 if (nr == 1) |
|
|
1332 { |
|
|
1333 dimensions(0) = 1; |
|
|
1334 dimensions(1) = new_n; |
|
|
1335 } |
|
|
1336 else |
|
|
1337 { |
|
|
1338 dimensions(0) = new_n; |
|
|
1339 dimensions(1) = 1; |
|
|
1340 } |
|
|
1341 } |
|
|
1342 else |
|
|
1343 (*current_liboctave_error_handler) |
|
|
1344 ("A(idx) = []: index out of range"); |
|
|
1345 } |
|
|
1346 } |
|
|
1347 |
|
|
1348 template <class T> |
|
|
1349 void |
|
|
1350 Array<T>::maybe_delete_elements (idx_vector& idx_i, idx_vector& idx_j) |
|
|
1351 { |
|
4548
|
1352 assert (ndims () == 2); |
|
|
1353 |
|
4517
|
1354 int nr = dim1 (); |
|
|
1355 int nc = dim2 (); |
|
|
1356 |
|
|
1357 if (nr == 0 && nc == 0) |
|
|
1358 return; |
|
|
1359 |
|
|
1360 if (idx_i.is_colon ()) |
|
|
1361 { |
|
|
1362 if (idx_j.is_colon ()) |
|
|
1363 { |
|
|
1364 // A(:,:) -- We are deleting columns and rows, so the result |
|
|
1365 // is [](0x0). |
|
|
1366 |
|
|
1367 resize_no_fill (0, 0); |
|
|
1368 return; |
|
|
1369 } |
|
|
1370 |
|
|
1371 if (idx_j.is_colon_equiv (nc, 1)) |
|
|
1372 { |
|
|
1373 // A(:,j) -- We are deleting columns by enumerating them, |
|
|
1374 // If we enumerate all of them, we should have zero columns |
|
|
1375 // with the same number of rows that we started with. |
|
|
1376 |
|
|
1377 resize_no_fill (nr, 0); |
|
|
1378 return; |
|
|
1379 } |
|
|
1380 } |
|
|
1381 |
|
|
1382 if (idx_j.is_colon () && idx_i.is_colon_equiv (nr, 1)) |
|
|
1383 { |
|
|
1384 // A(i,:) -- We are deleting rows by enumerating them. If we |
|
|
1385 // enumerate all of them, we should have zero rows with the |
|
|
1386 // same number of columns that we started with. |
|
|
1387 |
|
|
1388 resize_no_fill (0, nc); |
|
|
1389 return; |
|
|
1390 } |
|
|
1391 |
|
|
1392 if (idx_i.is_colon_equiv (nr, 1)) |
|
|
1393 { |
|
|
1394 if (idx_j.is_colon_equiv (nc, 1)) |
|
|
1395 resize_no_fill (0, 0); |
|
|
1396 else |
|
|
1397 { |
|
|
1398 idx_j.sort (true); |
|
|
1399 |
|
|
1400 int num_to_delete = idx_j.length (nc); |
|
|
1401 |
|
|
1402 if (num_to_delete != 0) |
|
|
1403 { |
|
|
1404 if (nr == 1 && num_to_delete == nc) |
|
|
1405 resize_no_fill (0, 0); |
|
|
1406 else |
|
|
1407 { |
|
|
1408 int new_nc = nc; |
|
|
1409 |
|
|
1410 int iidx = 0; |
|
|
1411 |
|
|
1412 for (int j = 0; j < nc; j++) |
|
|
1413 if (j == idx_j.elem (iidx)) |
|
|
1414 { |
|
|
1415 iidx++; |
|
|
1416 new_nc--; |
|
|
1417 |
|
|
1418 if (iidx == num_to_delete) |
|
|
1419 break; |
|
|
1420 } |
|
|
1421 |
|
|
1422 if (new_nc > 0) |
|
|
1423 { |
|
|
1424 T *new_data = new T [nr * new_nc]; |
|
|
1425 |
|
|
1426 int jj = 0; |
|
|
1427 iidx = 0; |
|
|
1428 for (int j = 0; j < nc; j++) |
|
|
1429 { |
|
|
1430 if (iidx < num_to_delete && j == idx_j.elem (iidx)) |
|
|
1431 iidx++; |
|
|
1432 else |
|
|
1433 { |
|
|
1434 for (int i = 0; i < nr; i++) |
|
|
1435 new_data[nr*jj+i] = elem (i, j); |
|
|
1436 jj++; |
|
|
1437 } |
|
|
1438 } |
|
|
1439 |
|
|
1440 if (--(Array<T>::rep)->count <= 0) |
|
|
1441 delete Array<T>::rep; |
|
|
1442 |
|
|
1443 Array<T>::rep = new typename Array<T>::ArrayRep (new_data, nr * new_nc); |
|
|
1444 |
|
|
1445 dimensions.resize (2); |
|
|
1446 dimensions(1) = new_nc; |
|
|
1447 } |
|
|
1448 else |
|
|
1449 (*current_liboctave_error_handler) |
|
|
1450 ("A(idx) = []: index out of range"); |
|
|
1451 } |
|
|
1452 } |
|
|
1453 } |
|
|
1454 } |
|
|
1455 else if (idx_j.is_colon_equiv (nc, 1)) |
|
|
1456 { |
|
|
1457 if (idx_i.is_colon_equiv (nr, 1)) |
|
|
1458 resize_no_fill (0, 0); |
|
|
1459 else |
|
|
1460 { |
|
|
1461 idx_i.sort (true); |
|
|
1462 |
|
|
1463 int num_to_delete = idx_i.length (nr); |
|
|
1464 |
|
|
1465 if (num_to_delete != 0) |
|
|
1466 { |
|
|
1467 if (nc == 1 && num_to_delete == nr) |
|
|
1468 resize_no_fill (0, 0); |
|
|
1469 else |
|
|
1470 { |
|
|
1471 int new_nr = nr; |
|
|
1472 |
|
|
1473 int iidx = 0; |
|
|
1474 |
|
|
1475 for (int i = 0; i < nr; i++) |
|
|
1476 if (i == idx_i.elem (iidx)) |
|
|
1477 { |
|
|
1478 iidx++; |
|
|
1479 new_nr--; |
|
|
1480 |
|
|
1481 if (iidx == num_to_delete) |
|
|
1482 break; |
|
|
1483 } |
|
|
1484 |
|
|
1485 if (new_nr > 0) |
|
|
1486 { |
|
|
1487 T *new_data = new T [new_nr * nc]; |
|
|
1488 |
|
|
1489 int ii = 0; |
|
|
1490 iidx = 0; |
|
|
1491 for (int i = 0; i < nr; i++) |
|
|
1492 { |
|
|
1493 if (iidx < num_to_delete && i == idx_i.elem (iidx)) |
|
|
1494 iidx++; |
|
|
1495 else |
|
|
1496 { |
|
|
1497 for (int j = 0; j < nc; j++) |
|
|
1498 new_data[new_nr*j+ii] = elem (i, j); |
|
|
1499 ii++; |
|
|
1500 } |
|
|
1501 } |
|
|
1502 |
|
|
1503 if (--(Array<T>::rep)->count <= 0) |
|
|
1504 delete Array<T>::rep; |
|
|
1505 |
|
|
1506 Array<T>::rep = new typename Array<T>::ArrayRep (new_data, new_nr * nc); |
|
|
1507 |
|
|
1508 dimensions.resize (2); |
|
|
1509 dimensions(0) = new_nr; |
|
|
1510 } |
|
|
1511 else |
|
|
1512 (*current_liboctave_error_handler) |
|
|
1513 ("A(idx) = []: index out of range"); |
|
|
1514 } |
|
|
1515 } |
|
|
1516 } |
|
|
1517 } |
|
|
1518 } |
|
|
1519 |
|
|
1520 template <class T> |
|
|
1521 void |
|
|
1522 Array<T>::maybe_delete_elements (idx_vector&, idx_vector&, idx_vector&) |
|
|
1523 { |
|
|
1524 assert (0); |
|
|
1525 } |
|
|
1526 |
|
|
1527 template <class T> |
|
|
1528 void |
|
4585
|
1529 Array<T>::maybe_delete_elements (Array<idx_vector>& ra_idx, const T& rfv) |
|
4517
|
1530 { |
|
4585
|
1531 int n_idx = ra_idx.length (); |
|
4517
|
1532 |
|
|
1533 dim_vector lhs_dims = dims (); |
|
|
1534 |
|
4821
|
1535 if (lhs_dims.all_zero ()) |
|
|
1536 return; |
|
|
1537 |
|
4755
|
1538 int n_lhs_dims = lhs_dims.length (); |
|
4757
|
1539 |
|
4740
|
1540 Array<int> idx_is_colon (n_idx, 0); |
|
|
1541 |
|
|
1542 Array<int> idx_is_colon_equiv (n_idx, 0); |
|
4517
|
1543 |
|
|
1544 // Initialization of colon arrays. |
|
4757
|
1545 |
|
4517
|
1546 for (int i = 0; i < n_idx; i++) |
|
|
1547 { |
|
4585
|
1548 idx_is_colon_equiv(i) = ra_idx(i).is_colon_equiv (lhs_dims(i), 1); |
|
|
1549 |
|
|
1550 idx_is_colon(i) = ra_idx(i).is_colon (); |
|
4517
|
1551 } |
|
|
1552 |
|
4755
|
1553 bool idx_ok = true; |
|
|
1554 |
|
|
1555 // Check for index out of bounds. |
|
|
1556 |
|
|
1557 for (int i = 0 ; i < n_idx - 1; i++) |
|
4517
|
1558 { |
|
4755
|
1559 if (! (idx_is_colon(i) || idx_is_colon_equiv(i))) |
|
|
1560 { |
|
|
1561 ra_idx(i).sort (true); |
|
4757
|
1562 |
|
4755
|
1563 if (ra_idx(i).max () > lhs_dims(i)) |
|
|
1564 { |
|
|
1565 (*current_liboctave_error_handler) |
|
|
1566 ("index exceeds array dimensions"); |
|
4757
|
1567 |
|
4755
|
1568 idx_ok = false; |
|
|
1569 break; |
|
|
1570 } |
|
|
1571 else if (ra_idx(i).min () < 0) // I believe this is checked elsewhere |
|
|
1572 { |
|
|
1573 (*current_liboctave_error_handler) |
|
|
1574 ("index must be one or larger"); |
|
|
1575 |
|
|
1576 idx_ok = false; |
|
|
1577 break; |
|
|
1578 } |
|
|
1579 } |
|
4517
|
1580 } |
|
4757
|
1581 |
|
4755
|
1582 if (n_idx <= n_lhs_dims) |
|
4517
|
1583 { |
|
4755
|
1584 int last_idx = ra_idx(n_idx-1).max (); |
|
4757
|
1585 |
|
4755
|
1586 int sum_el = lhs_dims(n_idx-1); |
|
4757
|
1587 |
|
4755
|
1588 for (int i = n_idx; i < n_lhs_dims; i++) |
|
|
1589 sum_el *= lhs_dims(i); |
|
|
1590 |
|
|
1591 if (last_idx > sum_el - 1) |
|
|
1592 { |
|
|
1593 (*current_liboctave_error_handler) |
|
|
1594 ("index exceeds array dimensions"); |
|
|
1595 |
|
|
1596 idx_ok = false; |
|
|
1597 } |
|
4757
|
1598 } |
|
4755
|
1599 |
|
|
1600 if (idx_ok) |
|
|
1601 { |
|
|
1602 if (n_idx > 1 |
|
|
1603 && (all_ones (idx_is_colon) || all_ones (idx_is_colon_equiv))) |
|
4517
|
1604 { |
|
4755
|
1605 // A(:,:,:) -- we are deleting elements in all dimensions, so |
|
|
1606 // the result is [](0x0x0). |
|
|
1607 |
|
|
1608 dim_vector zeros; |
|
|
1609 zeros.resize (n_idx); |
|
|
1610 |
|
|
1611 for (int i = 0; i < n_idx; i++) |
|
|
1612 zeros(i) = 0; |
|
|
1613 |
|
|
1614 resize (zeros, rfv); |
|
4517
|
1615 } |
|
|
1616 |
|
4755
|
1617 else if (n_idx > 1 |
|
|
1618 && num_ones (idx_is_colon) == n_idx - 1 |
|
|
1619 && num_ones (idx_is_colon_equiv) == n_idx) |
|
|
1620 { |
|
|
1621 // A(:,:,j) -- we are deleting elements in one dimension by |
|
|
1622 // enumerating them. |
|
|
1623 // |
|
|
1624 // If we enumerate all of the elements, we should have zero |
|
|
1625 // elements in that dimension with the same number of elements |
|
|
1626 // in the other dimensions that we started with. |
|
|
1627 |
|
|
1628 dim_vector temp_dims; |
|
|
1629 temp_dims.resize (n_idx); |
|
|
1630 |
|
|
1631 for (int i = 0; i < n_idx; i++) |
|
|
1632 { |
|
|
1633 if (idx_is_colon (i)) |
|
|
1634 temp_dims(i) = lhs_dims(i); |
|
|
1635 else |
|
|
1636 temp_dims(i) = 0; |
|
|
1637 } |
|
|
1638 |
|
|
1639 resize (temp_dims); |
|
|
1640 } |
|
|
1641 else if (n_idx > 1 && num_ones (idx_is_colon) == n_idx - 1) |
|
4741
|
1642 { |
|
4755
|
1643 // We have colons in all indices except for one. |
|
|
1644 // This index tells us which slice to delete |
|
|
1645 |
|
|
1646 if (n_idx < n_lhs_dims) |
|
|
1647 { |
|
|
1648 // Collapse dimensions beyond last index. |
|
|
1649 |
|
|
1650 if (liboctave_wfi_flag && ! (ra_idx(n_idx-1).is_colon ())) |
|
|
1651 (*current_liboctave_warning_handler) |
|
|
1652 ("fewer indices than dimensions for N-d array"); |
|
|
1653 |
|
|
1654 for (int i = n_idx; i < n_lhs_dims; i++) |
|
|
1655 lhs_dims(n_idx-1) *= lhs_dims(i); |
|
|
1656 |
|
|
1657 lhs_dims.resize (n_idx); |
|
|
1658 |
|
|
1659 // Reshape *this. |
|
|
1660 dimensions = lhs_dims; |
|
|
1661 } |
|
|
1662 |
|
|
1663 int non_col = 0; |
|
|
1664 |
|
|
1665 // Find the non-colon column. |
|
|
1666 |
|
|
1667 for (int i = 0; i < n_idx; i++) |
|
|
1668 { |
|
|
1669 if (! idx_is_colon(i)) |
|
|
1670 non_col = i; |
|
|
1671 } |
|
|
1672 |
|
|
1673 // The length of the non-colon dimension. |
|
|
1674 |
|
|
1675 int non_col_dim = lhs_dims (non_col); |
|
|
1676 |
|
|
1677 int num_to_delete = ra_idx(non_col).length (lhs_dims (non_col)); |
|
|
1678 |
|
|
1679 if (num_to_delete > 0) |
|
|
1680 { |
|
|
1681 int temp = lhs_dims.num_ones (); |
|
|
1682 |
|
|
1683 if (non_col_dim == 1) |
|
|
1684 temp--; |
|
|
1685 |
|
|
1686 if (temp == n_idx - 1 && num_to_delete == non_col_dim) |
|
|
1687 { |
|
|
1688 // We have A with (1x1x4), where A(1,:,1:4) |
|
|
1689 // Delete all (0x0x0) |
|
|
1690 |
|
|
1691 dim_vector zero_dims (n_idx, 0); |
|
|
1692 |
|
|
1693 resize (zero_dims, rfv); |
|
|
1694 } |
|
|
1695 else |
|
|
1696 { |
|
|
1697 // New length of non-colon dimension |
|
|
1698 // (calculated in the next for loop) |
|
|
1699 |
|
|
1700 int new_dim = non_col_dim; |
|
|
1701 |
|
|
1702 int iidx = 0; |
|
|
1703 |
|
|
1704 for (int j = 0; j < non_col_dim; j++) |
|
|
1705 if (j == ra_idx(non_col).elem (iidx)) |
|
|
1706 { |
|
|
1707 iidx++; |
|
|
1708 |
|
|
1709 new_dim--; |
|
|
1710 |
|
|
1711 if (iidx == num_to_delete) |
|
|
1712 break; |
|
|
1713 } |
|
|
1714 |
|
|
1715 // Creating the new nd array after deletions. |
|
|
1716 |
|
|
1717 if (new_dim > 0) |
|
|
1718 { |
|
|
1719 // Calculate number of elements in new array. |
|
|
1720 |
|
|
1721 int num_new_elem=1; |
|
|
1722 |
|
|
1723 for (int i = 0; i < n_idx; i++) |
|
|
1724 { |
|
|
1725 if (i == non_col) |
|
|
1726 num_new_elem *= new_dim; |
|
|
1727 |
|
|
1728 else |
|
|
1729 num_new_elem *= lhs_dims(i); |
|
|
1730 } |
|
|
1731 |
|
|
1732 T *new_data = new T [num_new_elem]; |
|
|
1733 |
|
|
1734 Array<int> result_idx (n_lhs_dims, 0); |
|
|
1735 |
|
|
1736 dim_vector new_lhs_dim = lhs_dims; |
|
|
1737 |
|
|
1738 new_lhs_dim(non_col) = new_dim; |
|
|
1739 |
|
|
1740 int num_elem = 1; |
|
|
1741 |
|
|
1742 int numidx = 0; |
|
|
1743 |
|
|
1744 int n = length (); |
|
|
1745 |
|
|
1746 for (int i = 0; i < n_lhs_dims; i++) |
|
|
1747 if (i != non_col) |
|
|
1748 num_elem *= lhs_dims(i); |
|
|
1749 |
|
|
1750 num_elem *= ra_idx(non_col).capacity (); |
|
|
1751 |
|
|
1752 for (int i = 0; i < n; i++) |
|
|
1753 { |
|
|
1754 if (numidx < num_elem |
|
|
1755 && is_in (result_idx(non_col), ra_idx(non_col))) |
|
|
1756 numidx++; |
|
|
1757 |
|
|
1758 else |
|
|
1759 { |
|
|
1760 Array<int> temp_result_idx = result_idx; |
|
|
1761 |
|
|
1762 int num_lgt = how_many_lgt (result_idx(non_col), |
|
|
1763 ra_idx(non_col)); |
|
|
1764 |
|
|
1765 temp_result_idx(non_col) -= num_lgt; |
|
|
1766 |
|
|
1767 int kidx |
|
|
1768 = ::compute_index (temp_result_idx, new_lhs_dim); |
|
|
1769 |
|
|
1770 new_data[kidx] = elem (result_idx); |
|
|
1771 } |
|
|
1772 |
|
|
1773 increment_index (result_idx, lhs_dims); |
|
|
1774 } |
|
|
1775 |
|
|
1776 if (--rep->count <= 0) |
|
|
1777 delete rep; |
|
|
1778 |
|
|
1779 rep = new typename Array<T>::ArrayRep (new_data, |
|
|
1780 num_new_elem); |
|
|
1781 |
|
|
1782 dimensions = new_lhs_dim; |
|
|
1783 } |
|
|
1784 } |
|
|
1785 } |
|
4517
|
1786 } |
|
4755
|
1787 else if (n_idx == 1) |
|
4517
|
1788 { |
|
4821
|
1789 // This handle cases where we only have one index (not |
|
|
1790 // colon). The index denotes which elements we should |
|
|
1791 // delete in the array which can be of any dimension. We |
|
|
1792 // return a column vector, except for the case where we are |
|
|
1793 // operating on a row vector. The elements are numerated |
|
|
1794 // column by column. |
|
4755
|
1795 // |
|
|
1796 // A(3,3,3)=2; |
|
|
1797 // A(3:5) = []; A(6)=[] |
|
4757
|
1798 |
|
4755
|
1799 int lhs_numel = numel (); |
|
4757
|
1800 |
|
4821
|
1801 idx_vector idx_vec = ra_idx(0); |
|
|
1802 |
|
|
1803 idx_vec.freeze (lhs_numel, 0, true, liboctave_wrore_flag); |
|
|
1804 |
|
|
1805 idx_vec.sort (true); |
|
|
1806 |
|
|
1807 int num_to_delete = idx_vec.length (lhs_numel); |
|
|
1808 |
|
|
1809 if (num_to_delete > 0) |
|
4517
|
1810 { |
|
4821
|
1811 int new_numel = lhs_numel - num_to_delete; |
|
|
1812 |
|
|
1813 T *new_data = new T[new_numel]; |
|
|
1814 |
|
|
1815 Array<int> lhs_ra_idx (ndims (), 0); |
|
|
1816 |
|
|
1817 int ii = 0; |
|
|
1818 int iidx = 0; |
|
|
1819 |
|
|
1820 for (int i = 0; i < lhs_numel; i++) |
|
4755
|
1821 { |
|
4821
|
1822 if (iidx < num_to_delete && i == idx_vec.elem (iidx)) |
|
|
1823 { |
|
|
1824 iidx++; |
|
|
1825 } |
|
|
1826 else |
|
|
1827 { |
|
|
1828 new_data[ii++] = elem (lhs_ra_idx); |
|
|
1829 } |
|
|
1830 |
|
|
1831 increment_index (lhs_ra_idx, lhs_dims); |
|
|
1832 } |
|
|
1833 |
|
|
1834 if (--(Array<T>::rep)->count <= 0) |
|
|
1835 delete Array<T>::rep; |
|
|
1836 |
|
|
1837 Array<T>::rep = new typename Array<T>::ArrayRep (new_data, new_numel); |
|
|
1838 |
|
|
1839 dimensions.resize (2); |
|
|
1840 |
|
|
1841 if (lhs_dims.length () == 2 && lhs_dims(1) == 1) |
|
|
1842 { |
|
|
1843 dimensions(0) = new_numel; |
|
|
1844 dimensions(1) = 1; |
|
4755
|
1845 } |
|
|
1846 else |
|
|
1847 { |
|
4821
|
1848 dimensions(0) = 1; |
|
|
1849 dimensions(1) = new_numel; |
|
4755
|
1850 } |
|
4517
|
1851 } |
|
|
1852 } |
|
4755
|
1853 else if (num_ones (idx_is_colon) < n_idx) |
|
|
1854 { |
|
|
1855 (*current_liboctave_error_handler) |
|
|
1856 ("a null assignment can have only one non-colon index"); |
|
|
1857 } |
|
4517
|
1858 } |
|
|
1859 } |
|
|
1860 |
|
|
1861 template <class T> |
|
|
1862 Array<T> |
|
|
1863 Array<T>::value (void) |
|
|
1864 { |
|
|
1865 Array<T> retval; |
|
|
1866 |
|
|
1867 int n_idx = index_count (); |
|
|
1868 |
|
|
1869 if (n_idx == 2) |
|
|
1870 { |
|
|
1871 idx_vector *tmp = get_idx (); |
|
|
1872 |
|
|
1873 idx_vector idx_i = tmp[0]; |
|
|
1874 idx_vector idx_j = tmp[1]; |
|
|
1875 |
|
|
1876 retval = index (idx_i, idx_j); |
|
|
1877 } |
|
|
1878 else if (n_idx == 1) |
|
|
1879 { |
|
|
1880 retval = index (idx[0]); |
|
|
1881 } |
|
|
1882 else |
|
|
1883 (*current_liboctave_error_handler) |
|
|
1884 ("Array<T>::value: invalid number of indices specified"); |
|
|
1885 |
|
|
1886 clear_index (); |
|
|
1887 |
|
|
1888 return retval; |
|
|
1889 } |
|
|
1890 |
|
|
1891 template <class T> |
|
|
1892 Array<T> |
|
|
1893 Array<T>::index (idx_vector& idx_arg, int resize_ok, const T& rfv) const |
|
|
1894 { |
|
|
1895 Array<T> retval; |
|
|
1896 |
|
|
1897 switch (ndims ()) |
|
|
1898 { |
|
|
1899 case 1: |
|
|
1900 retval = index1 (idx_arg, resize_ok, rfv); |
|
|
1901 break; |
|
|
1902 |
|
|
1903 case 2: |
|
|
1904 retval = index2 (idx_arg, resize_ok, rfv); |
|
|
1905 break; |
|
|
1906 |
|
|
1907 default: |
|
4530
|
1908 retval = indexN (idx_arg, resize_ok, rfv); |
|
4517
|
1909 break; |
|
|
1910 } |
|
|
1911 |
|
|
1912 return retval; |
|
|
1913 } |
|
|
1914 |
|
|
1915 template <class T> |
|
|
1916 Array<T> |
|
|
1917 Array<T>::index1 (idx_vector& idx_arg, int resize_ok, const T& rfv) const |
|
|
1918 { |
|
|
1919 Array<T> retval; |
|
|
1920 |
|
|
1921 int len = length (); |
|
|
1922 |
|
|
1923 int n = idx_arg.freeze (len, "vector", resize_ok); |
|
|
1924 |
|
|
1925 if (idx_arg) |
|
|
1926 { |
|
|
1927 if (idx_arg.is_colon_equiv (len)) |
|
|
1928 { |
|
|
1929 retval = *this; |
|
|
1930 } |
|
|
1931 else if (n == 0) |
|
|
1932 { |
|
|
1933 retval.resize_no_fill (0); |
|
|
1934 } |
|
|
1935 else if (len == 1 && n > 1 |
|
|
1936 && idx_arg.one_zero_only () |
|
|
1937 && idx_arg.ones_count () == n) |
|
|
1938 { |
|
4548
|
1939 retval.resize_and_fill (n, elem (0)); |
|
4517
|
1940 } |
|
|
1941 else |
|
|
1942 { |
|
|
1943 retval.resize_no_fill (n); |
|
|
1944 |
|
|
1945 for (int i = 0; i < n; i++) |
|
|
1946 { |
|
|
1947 int ii = idx_arg.elem (i); |
|
|
1948 if (ii >= len) |
|
|
1949 retval.elem (i) = rfv; |
|
|
1950 else |
|
|
1951 retval.elem (i) = elem (ii); |
|
|
1952 } |
|
|
1953 } |
|
|
1954 } |
|
|
1955 |
|
|
1956 // idx_vector::freeze() printed an error message for us. |
|
|
1957 |
|
|
1958 return retval; |
|
|
1959 } |
|
|
1960 |
|
|
1961 template <class T> |
|
|
1962 Array<T> |
|
|
1963 Array<T>::index2 (idx_vector& idx_arg, int resize_ok, const T& rfv) const |
|
|
1964 { |
|
|
1965 Array<T> retval; |
|
|
1966 |
|
4548
|
1967 assert (ndims () == 2); |
|
|
1968 |
|
4517
|
1969 int nr = dim1 (); |
|
|
1970 int nc = dim2 (); |
|
|
1971 |
|
|
1972 int orig_len = nr * nc; |
|
|
1973 |
|
|
1974 int idx_orig_rows = idx_arg.orig_rows (); |
|
|
1975 int idx_orig_columns = idx_arg.orig_columns (); |
|
|
1976 |
|
|
1977 if (idx_arg.is_colon ()) |
|
|
1978 { |
|
|
1979 // Fast magic colon processing. |
|
|
1980 |
|
|
1981 int result_nr = nr * nc; |
|
|
1982 int result_nc = 1; |
|
|
1983 |
|
|
1984 retval = Array<T> (*this, dim_vector (result_nr, result_nc)); |
|
|
1985 } |
|
|
1986 else if (nr == 1 && nc == 1) |
|
|
1987 { |
|
|
1988 Array<T> tmp = Array<T>::index1 (idx_arg, resize_ok); |
|
|
1989 |
|
|
1990 if (tmp.length () != 0) |
|
|
1991 retval = Array<T> (tmp, dim_vector (idx_orig_rows, idx_orig_columns)); |
|
|
1992 else |
|
|
1993 retval = Array<T> (tmp, dim_vector (0, 0)); |
|
|
1994 } |
|
|
1995 else if (nr == 1 || nc == 1) |
|
|
1996 { |
|
|
1997 // If indexing a vector with a matrix, return value has same |
|
|
1998 // shape as the index. Otherwise, it has same orientation as |
|
|
1999 // indexed object. |
|
|
2000 |
|
|
2001 Array<T> tmp = index1 (idx_arg, resize_ok); |
|
|
2002 |
|
|
2003 int len = tmp.length (); |
|
|
2004 |
|
|
2005 if (len == 0) |
|
|
2006 { |
|
|
2007 if (idx_orig_rows == 0 || idx_orig_columns == 0) |
|
|
2008 retval = Array<T> (dim_vector (idx_orig_rows, idx_orig_columns)); |
|
|
2009 else if (nr == 1) |
|
|
2010 retval = Array<T> (dim_vector (1, 0)); |
|
|
2011 else |
|
|
2012 retval = Array<T> (dim_vector (0, 1)); |
|
|
2013 } |
|
|
2014 else |
|
|
2015 { |
|
4592
|
2016 if (idx_arg.one_zero_only () |
|
|
2017 || idx_orig_rows == 1 || idx_orig_columns == 1) |
|
4517
|
2018 { |
|
|
2019 if (nr == 1) |
|
|
2020 retval = Array<T> (tmp, dim_vector (1, len)); |
|
|
2021 else |
|
|
2022 retval = Array<T> (tmp, dim_vector (len, 1)); |
|
|
2023 } |
|
|
2024 else |
|
|
2025 retval = Array<T> (tmp, dim_vector (idx_orig_rows, idx_orig_columns)); |
|
|
2026 } |
|
|
2027 } |
|
|
2028 else |
|
|
2029 { |
|
|
2030 if (liboctave_wfi_flag |
|
|
2031 && ! (idx_arg.one_zero_only () |
|
|
2032 && idx_orig_rows == nr |
|
|
2033 && idx_orig_columns == nc)) |
|
|
2034 (*current_liboctave_warning_handler) ("single index used for matrix"); |
|
|
2035 |
|
|
2036 // This code is only for indexing matrices. The vector |
|
|
2037 // cases are handled above. |
|
|
2038 |
|
|
2039 idx_arg.freeze (nr * nc, "matrix", resize_ok); |
|
|
2040 |
|
|
2041 if (idx_arg) |
|
|
2042 { |
|
|
2043 int result_nr = idx_orig_rows; |
|
|
2044 int result_nc = idx_orig_columns; |
|
|
2045 |
|
|
2046 if (idx_arg.one_zero_only ()) |
|
|
2047 { |
|
|
2048 result_nr = idx_arg.ones_count (); |
|
|
2049 result_nc = (result_nr > 0 ? 1 : 0); |
|
|
2050 } |
|
|
2051 |
|
|
2052 retval.resize_no_fill (result_nr, result_nc); |
|
|
2053 |
|
|
2054 int k = 0; |
|
|
2055 for (int j = 0; j < result_nc; j++) |
|
|
2056 { |
|
|
2057 for (int i = 0; i < result_nr; i++) |
|
|
2058 { |
|
|
2059 int ii = idx_arg.elem (k++); |
|
|
2060 if (ii >= orig_len) |
|
|
2061 retval.elem (i, j) = rfv; |
|
|
2062 else |
|
|
2063 { |
|
|
2064 int fr = ii % nr; |
|
|
2065 int fc = (ii - fr) / nr; |
|
|
2066 retval.elem (i, j) = elem (fr, fc); |
|
|
2067 } |
|
|
2068 } |
|
|
2069 } |
|
|
2070 } |
|
|
2071 // idx_vector::freeze() printed an error message for us. |
|
|
2072 } |
|
|
2073 |
|
|
2074 return retval; |
|
|
2075 } |
|
|
2076 |
|
|
2077 template <class T> |
|
|
2078 Array<T> |
|
4530
|
2079 Array<T>::indexN (idx_vector& ra_idx, int resize_ok, const T& rfv) const |
|
|
2080 { |
|
|
2081 Array<T> retval; |
|
|
2082 |
|
4747
|
2083 int n_dims = dims().length (); |
|
|
2084 |
|
|
2085 int orig_len = dims().numel (); |
|
4530
|
2086 |
|
4757
|
2087 dim_vector idx_orig_dims = ra_idx.orig_dimensions (); |
|
4530
|
2088 |
|
|
2089 if (ra_idx.is_colon ()) |
|
|
2090 { |
|
4651
|
2091 // Fast magic colon processing. |
|
|
2092 |
|
|
2093 retval = Array<T> (*this, dim_vector (orig_len, 1)); |
|
4530
|
2094 } |
|
|
2095 else if (length () == 1) |
|
|
2096 { |
|
|
2097 // Only one element in array. |
|
|
2098 |
|
|
2099 Array<T> tmp = Array<T>::index (ra_idx, resize_ok); |
|
|
2100 |
|
|
2101 if (tmp.length () != 0) |
|
|
2102 retval = Array<T> (tmp, idx_orig_dims); |
|
|
2103 else |
|
4755
|
2104 retval = Array<T> (tmp, dim_vector (0, 0)); |
|
4530
|
2105 } |
|
|
2106 else if (vector_equivalent (dims ())) |
|
4757
|
2107 { |
|
4530
|
2108 // We're getting elements from a vector equivalent i.e. (1x4x1). |
|
|
2109 |
|
|
2110 Array<T> tmp = Array<T>::index (ra_idx, resize_ok); |
|
|
2111 |
|
|
2112 int len = tmp.length (); |
|
|
2113 |
|
|
2114 if (len == 0) |
|
|
2115 { |
|
4747
|
2116 if (idx_orig_dims.any_zero ()) |
|
4530
|
2117 retval = Array<T> (idx_orig_dims); |
|
|
2118 else |
|
|
2119 { |
|
|
2120 dim_vector new_dims; |
|
4673
|
2121 |
|
4530
|
2122 new_dims.resize (n_dims); |
|
|
2123 |
|
|
2124 for (int i = 0; i < n_dims; i++) |
|
|
2125 { |
|
|
2126 if ((dims ())(i) == 1) |
|
|
2127 new_dims(i) = 1; |
|
|
2128 } |
|
|
2129 |
|
4673
|
2130 new_dims.chop_trailing_singletons (); |
|
|
2131 |
|
4530
|
2132 retval = Array<T> (new_dims); |
|
|
2133 } |
|
|
2134 } |
|
|
2135 else |
|
|
2136 { |
|
4746
|
2137 if (vector_equivalent (idx_orig_dims)) |
|
4530
|
2138 { |
|
|
2139 // Array<int> index (n_dims, len); |
|
|
2140 dim_vector new_dims; |
|
|
2141 |
|
|
2142 new_dims.resize (n_dims); |
|
|
2143 |
|
|
2144 for (int i = 0; i < n_dims; i++) |
|
|
2145 { |
|
|
2146 if ((dims ())(i) == 1) |
|
|
2147 new_dims(i) = 1; |
|
|
2148 } |
|
|
2149 |
|
4673
|
2150 new_dims.chop_trailing_singletons (); |
|
|
2151 |
|
4530
|
2152 retval = Array<T> (tmp, new_dims); |
|
|
2153 } |
|
|
2154 else |
|
|
2155 retval = Array<T> (tmp, idx_orig_dims); |
|
|
2156 |
|
|
2157 (*current_liboctave_error_handler) |
|
|
2158 ("I do not know what to do here yet!"); |
|
|
2159 } |
|
|
2160 } |
|
4651
|
2161 else |
|
4530
|
2162 { |
|
4651
|
2163 if (liboctave_wfi_flag |
|
|
2164 && ! (ra_idx.is_colon () |
|
4747
|
2165 || (ra_idx.one_zero_only () && idx_orig_dims == dims ()))) |
|
4651
|
2166 (*current_liboctave_warning_handler) |
|
|
2167 ("single index used for N-d array"); |
|
4530
|
2168 |
|
|
2169 ra_idx.freeze (orig_len, "nd-array", resize_ok); |
|
|
2170 |
|
|
2171 if (ra_idx) |
|
4757
|
2172 { |
|
4530
|
2173 dim_vector result_dims (idx_orig_dims); |
|
|
2174 |
|
|
2175 if (ra_idx.one_zero_only ()) |
|
|
2176 { |
|
4651
|
2177 result_dims.resize (2); |
|
|
2178 int ntot = ra_idx.ones_count (); |
|
|
2179 result_dims(0) = ntot; |
|
|
2180 result_dims(1) = (ntot > 0 ? 1 : 0); |
|
4530
|
2181 } |
|
|
2182 |
|
4673
|
2183 result_dims.chop_trailing_singletons (); |
|
|
2184 |
|
4530
|
2185 retval.resize (result_dims); |
|
|
2186 |
|
4747
|
2187 int n = result_dims.numel (); |
|
4530
|
2188 |
|
|
2189 int r_dims = result_dims.length (); |
|
|
2190 |
|
4587
|
2191 Array<int> iidx (r_dims, 0); |
|
4530
|
2192 |
|
|
2193 int k = 0; |
|
|
2194 |
|
|
2195 for (int i = 0; i < n; i++) |
|
|
2196 { |
|
|
2197 int ii = ra_idx.elem (k++); |
|
|
2198 |
|
|
2199 if (ii >= orig_len) |
|
4587
|
2200 retval.elem (iidx) = rfv; |
|
4530
|
2201 else |
|
|
2202 { |
|
|
2203 Array<int> temp = get_ra_idx (ii, dims ()); |
|
|
2204 |
|
4587
|
2205 retval.elem (iidx) = elem (temp); |
|
4530
|
2206 } |
|
|
2207 if (i != n - 1) |
|
4587
|
2208 increment_index (iidx, result_dims); |
|
4530
|
2209 } |
|
|
2210 } |
|
|
2211 } |
|
|
2212 |
|
|
2213 return retval; |
|
|
2214 } |
|
|
2215 |
|
|
2216 template <class T> |
|
|
2217 Array<T> |
|
4517
|
2218 Array<T>::index (idx_vector& idx_i, idx_vector& idx_j, int resize_ok, |
|
|
2219 const T& rfv) const |
|
|
2220 { |
|
|
2221 Array<T> retval; |
|
|
2222 |
|
4548
|
2223 assert (ndims () == 2); |
|
|
2224 |
|
4517
|
2225 int nr = dim1 (); |
|
|
2226 int nc = dim2 (); |
|
|
2227 |
|
|
2228 int n = idx_i.freeze (nr, "row", resize_ok); |
|
|
2229 int m = idx_j.freeze (nc, "column", resize_ok); |
|
|
2230 |
|
|
2231 if (idx_i && idx_j) |
|
|
2232 { |
|
|
2233 if (idx_i.orig_empty () || idx_j.orig_empty () || n == 0 || m == 0) |
|
|
2234 { |
|
|
2235 retval.resize_no_fill (n, m); |
|
|
2236 } |
|
|
2237 else if (idx_i.is_colon_equiv (nr) && idx_j.is_colon_equiv (nc)) |
|
|
2238 { |
|
|
2239 retval = *this; |
|
|
2240 } |
|
|
2241 else |
|
|
2242 { |
|
|
2243 retval.resize_no_fill (n, m); |
|
|
2244 |
|
|
2245 for (int j = 0; j < m; j++) |
|
|
2246 { |
|
|
2247 int jj = idx_j.elem (j); |
|
|
2248 for (int i = 0; i < n; i++) |
|
|
2249 { |
|
|
2250 int ii = idx_i.elem (i); |
|
|
2251 if (ii >= nr || jj >= nc) |
|
|
2252 retval.elem (i, j) = rfv; |
|
|
2253 else |
|
|
2254 retval.elem (i, j) = elem (ii, jj); |
|
|
2255 } |
|
|
2256 } |
|
|
2257 } |
|
|
2258 } |
|
|
2259 |
|
|
2260 // idx_vector::freeze() printed an error message for us. |
|
|
2261 |
|
|
2262 return retval; |
|
|
2263 } |
|
|
2264 |
|
|
2265 template <class T> |
|
|
2266 Array<T> |
|
4661
|
2267 Array<T>::index (Array<idx_vector>& ra_idx, int resize_ok, const T&) const |
|
4517
|
2268 { |
|
4530
|
2269 // This function handles all calls with more than one idx. |
|
|
2270 // For (3x3x3), the call can be A(2,5), A(2,:,:), A(3,2,3) etc. |
|
|
2271 |
|
4517
|
2272 Array<T> retval; |
|
|
2273 |
|
|
2274 int n_dims = dimensions.length (); |
|
|
2275 |
|
4737
|
2276 // Remove trailing singletons in ra_idx, but leave at least ndims |
|
|
2277 // elements. |
|
|
2278 |
|
|
2279 int ra_idx_len = ra_idx.length (); |
|
|
2280 |
|
|
2281 while (ra_idx_len > n_dims) |
|
|
2282 { |
|
|
2283 if (ra_idx(ra_idx_len-1) == 1) |
|
|
2284 ra_idx_len--; |
|
|
2285 else |
|
|
2286 break; |
|
|
2287 } |
|
|
2288 |
|
|
2289 ra_idx.resize (ra_idx_len); |
|
|
2290 |
|
4530
|
2291 if (n_dims < ra_idx.length ()) |
|
4517
|
2292 { |
|
4530
|
2293 (*current_liboctave_error_handler) |
|
|
2294 ("index exceeds N-d array dimensions"); |
|
|
2295 |
|
|
2296 return retval; |
|
|
2297 } |
|
|
2298 |
|
|
2299 dim_vector frozen_lengths = short_freeze (ra_idx, dimensions, resize_ok); |
|
|
2300 |
|
|
2301 if (frozen_lengths.length () <= n_dims) |
|
|
2302 { |
|
|
2303 if (all_ok (ra_idx)) |
|
4517
|
2304 { |
|
4747
|
2305 if (any_orig_empty (ra_idx) || frozen_lengths.any_zero ()) |
|
4530
|
2306 { |
|
4673
|
2307 frozen_lengths.chop_trailing_singletons (); |
|
|
2308 |
|
4530
|
2309 retval.resize (frozen_lengths); |
|
|
2310 } |
|
4738
|
2311 else if (frozen_lengths.length () == n_dims |
|
|
2312 && all_colon_equiv (ra_idx, dimensions)) |
|
4530
|
2313 { |
|
|
2314 retval = *this; |
|
|
2315 } |
|
|
2316 else |
|
|
2317 { |
|
4673
|
2318 dim_vector frozen_lengths_for_resize = frozen_lengths; |
|
|
2319 |
|
|
2320 frozen_lengths_for_resize.chop_trailing_singletons (); |
|
|
2321 |
|
|
2322 retval.resize (frozen_lengths_for_resize); |
|
|
2323 |
|
|
2324 int n = retval.length (); |
|
4530
|
2325 |
|
|
2326 Array<int> result_idx (ra_idx.length (), 0); |
|
|
2327 |
|
|
2328 dim_vector this_dims = dims (); |
|
4588
|
2329 |
|
|
2330 Array<int> elt_idx; |
|
|
2331 |
|
4530
|
2332 for (int i = 0; i < n; i++) |
|
4517
|
2333 { |
|
4757
|
2334 elt_idx = get_elt_idx (ra_idx, result_idx); |
|
4702
|
2335 |
|
4530
|
2336 int numelem_elt = get_scalar_idx (elt_idx, this_dims); |
|
|
2337 |
|
4673
|
2338 if (numelem_elt > length () || numelem_elt < 0) |
|
4530
|
2339 (*current_liboctave_error_handler) |
|
4673
|
2340 ("invalid N-d array index"); |
|
4530
|
2341 else |
|
4673
|
2342 retval.elem (i) = elem (numelem_elt); |
|
4702
|
2343 |
|
4530
|
2344 increment_index (result_idx, frozen_lengths); |
|
4702
|
2345 |
|
4517
|
2346 } |
|
|
2347 } |
|
|
2348 } |
|
|
2349 } |
|
|
2350 else |
|
|
2351 (*current_liboctave_error_handler) |
|
|
2352 ("invalid number of dimensions for N-dimensional array index"); |
|
|
2353 |
|
|
2354 return retval; |
|
|
2355 } |
|
|
2356 |
|
|
2357 // XXX FIXME XXX -- this is a mess. |
|
|
2358 |
|
|
2359 template <class LT, class RT> |
|
|
2360 int |
|
|
2361 assign (Array<LT>& lhs, const Array<RT>& rhs, const LT& rfv) |
|
|
2362 { |
|
|
2363 int retval = 0; |
|
|
2364 |
|
|
2365 switch (lhs.ndims ()) |
|
|
2366 { |
|
|
2367 case 0: |
|
|
2368 { |
|
|
2369 if (lhs.index_count () < 3) |
|
|
2370 { |
|
|
2371 // kluge... |
|
|
2372 lhs.resize_no_fill (0, 0); |
|
|
2373 retval = assign2 (lhs, rhs, rfv); |
|
|
2374 } |
|
|
2375 else |
|
|
2376 retval = assignN (lhs, rhs, rfv); |
|
|
2377 } |
|
|
2378 break; |
|
|
2379 |
|
|
2380 case 1: |
|
|
2381 { |
|
|
2382 if (lhs.index_count () > 1) |
|
|
2383 retval = assignN (lhs, rhs, rfv); |
|
|
2384 else |
|
|
2385 retval = assign1 (lhs, rhs, rfv); |
|
|
2386 } |
|
|
2387 break; |
|
|
2388 |
|
|
2389 case 2: |
|
|
2390 { |
|
|
2391 if (lhs.index_count () > 2) |
|
|
2392 retval = assignN (lhs, rhs, rfv); |
|
|
2393 else |
|
|
2394 retval = assign2 (lhs, rhs, rfv); |
|
|
2395 } |
|
|
2396 break; |
|
|
2397 |
|
|
2398 default: |
|
|
2399 retval = assignN (lhs, rhs, rfv); |
|
|
2400 break; |
|
|
2401 } |
|
|
2402 |
|
|
2403 return retval; |
|
|
2404 } |
|
|
2405 |
|
|
2406 template <class LT, class RT> |
|
|
2407 int |
|
|
2408 assign1 (Array<LT>& lhs, const Array<RT>& rhs, const LT& rfv) |
|
|
2409 { |
|
|
2410 int retval = 1; |
|
|
2411 |
|
|
2412 idx_vector *tmp = lhs.get_idx (); |
|
|
2413 |
|
|
2414 idx_vector lhs_idx = tmp[0]; |
|
|
2415 |
|
|
2416 int lhs_len = lhs.length (); |
|
|
2417 int rhs_len = rhs.length (); |
|
|
2418 |
|
|
2419 int n = lhs_idx.freeze (lhs_len, "vector", true, liboctave_wrore_flag); |
|
|
2420 |
|
|
2421 if (n != 0) |
|
|
2422 { |
|
|
2423 if (rhs_len == n || rhs_len == 1) |
|
|
2424 { |
|
|
2425 int max_idx = lhs_idx.max () + 1; |
|
|
2426 if (max_idx > lhs_len) |
|
4548
|
2427 lhs.resize_and_fill (max_idx, rfv); |
|
4517
|
2428 } |
|
|
2429 |
|
|
2430 if (rhs_len == n) |
|
|
2431 { |
|
|
2432 for (int i = 0; i < n; i++) |
|
|
2433 { |
|
|
2434 int ii = lhs_idx.elem (i); |
|
|
2435 lhs.elem (ii) = rhs.elem (i); |
|
|
2436 } |
|
|
2437 } |
|
|
2438 else if (rhs_len == 1) |
|
|
2439 { |
|
|
2440 RT scalar = rhs.elem (0); |
|
|
2441 |
|
|
2442 for (int i = 0; i < n; i++) |
|
|
2443 { |
|
|
2444 int ii = lhs_idx.elem (i); |
|
|
2445 lhs.elem (ii) = scalar; |
|
|
2446 } |
|
|
2447 } |
|
|
2448 else |
|
|
2449 { |
|
|
2450 (*current_liboctave_error_handler) |
|
|
2451 ("A(I) = X: X must be a scalar or a vector with same length as I"); |
|
|
2452 |
|
|
2453 retval = 0; |
|
|
2454 } |
|
|
2455 } |
|
|
2456 else if (lhs_idx.is_colon ()) |
|
|
2457 { |
|
|
2458 if (lhs_len == 0) |
|
|
2459 { |
|
|
2460 lhs.resize_no_fill (rhs_len); |
|
|
2461 |
|
|
2462 for (int i = 0; i < rhs_len; i++) |
|
|
2463 lhs.elem (i) = rhs.elem (i); |
|
|
2464 } |
|
|
2465 else |
|
|
2466 (*current_liboctave_error_handler) |
|
|
2467 ("A(:) = X: A must be the same size as X"); |
|
|
2468 } |
|
|
2469 else if (! (rhs_len == 1 || rhs_len == 0)) |
|
|
2470 { |
|
|
2471 (*current_liboctave_error_handler) |
|
|
2472 ("A([]) = X: X must also be an empty matrix or a scalar"); |
|
|
2473 |
|
|
2474 retval = 0; |
|
|
2475 } |
|
|
2476 |
|
|
2477 lhs.clear_index (); |
|
|
2478 |
|
|
2479 return retval; |
|
|
2480 } |
|
|
2481 |
|
|
2482 #define MAYBE_RESIZE_LHS \ |
|
|
2483 do \ |
|
|
2484 { \ |
|
|
2485 int max_row_idx = idx_i_is_colon ? rhs_nr : idx_i.max () + 1; \ |
|
|
2486 int max_col_idx = idx_j_is_colon ? rhs_nc : idx_j.max () + 1; \ |
|
|
2487 \ |
|
|
2488 int new_nr = max_row_idx > lhs_nr ? max_row_idx : lhs_nr; \ |
|
|
2489 int new_nc = max_col_idx > lhs_nc ? max_col_idx : lhs_nc; \ |
|
|
2490 \ |
|
|
2491 lhs.resize_and_fill (new_nr, new_nc, rfv); \ |
|
|
2492 } \ |
|
|
2493 while (0) |
|
|
2494 |
|
|
2495 template <class LT, class RT> |
|
|
2496 int |
|
|
2497 assign2 (Array<LT>& lhs, const Array<RT>& rhs, const LT& rfv) |
|
|
2498 { |
|
|
2499 int retval = 1; |
|
|
2500 |
|
|
2501 int n_idx = lhs.index_count (); |
|
|
2502 |
|
|
2503 int lhs_nr = lhs.rows (); |
|
|
2504 int lhs_nc = lhs.cols (); |
|
|
2505 |
|
|
2506 int rhs_nr = rhs.rows (); |
|
|
2507 int rhs_nc = rhs.cols (); |
|
4757
|
2508 |
|
4707
|
2509 if (rhs.length () > 2) |
|
|
2510 { |
|
|
2511 dim_vector dv_tmp = rhs.squeeze().dims (); |
|
4709
|
2512 |
|
4708
|
2513 switch (dv_tmp.length ()) |
|
4707
|
2514 { |
|
4708
|
2515 case 1: |
|
|
2516 if (rhs_nr == 1) |
|
|
2517 rhs_nc = dv_tmp.elem (0); |
|
|
2518 break; |
|
4709
|
2519 |
|
4708
|
2520 case 2: |
|
4707
|
2521 rhs_nr = dv_tmp.elem (0); |
|
|
2522 rhs_nc = dv_tmp.elem (1); |
|
4708
|
2523 break; |
|
|
2524 |
|
|
2525 default: |
|
|
2526 (*current_liboctave_error_handler) |
|
|
2527 ("Array<T>::assign2: Dimension mismatch"); |
|
4709
|
2528 return 0; |
|
4707
|
2529 } |
|
|
2530 } |
|
4517
|
2531 |
|
|
2532 idx_vector *tmp = lhs.get_idx (); |
|
|
2533 |
|
|
2534 idx_vector idx_i; |
|
|
2535 idx_vector idx_j; |
|
|
2536 |
|
|
2537 if (n_idx > 1) |
|
|
2538 idx_j = tmp[1]; |
|
|
2539 |
|
|
2540 if (n_idx > 0) |
|
|
2541 idx_i = tmp[0]; |
|
|
2542 |
|
|
2543 if (n_idx == 2) |
|
|
2544 { |
|
|
2545 int n = idx_i.freeze (lhs_nr, "row", true, liboctave_wrore_flag); |
|
|
2546 |
|
|
2547 int m = idx_j.freeze (lhs_nc, "column", true, liboctave_wrore_flag); |
|
|
2548 |
|
|
2549 int idx_i_is_colon = idx_i.is_colon (); |
|
|
2550 int idx_j_is_colon = idx_j.is_colon (); |
|
|
2551 |
|
|
2552 if (idx_i_is_colon) |
|
|
2553 n = lhs_nr > 0 ? lhs_nr : rhs_nr; |
|
|
2554 |
|
|
2555 if (idx_j_is_colon) |
|
|
2556 m = lhs_nc > 0 ? lhs_nc : rhs_nc; |
|
|
2557 |
|
|
2558 if (idx_i && idx_j) |
|
|
2559 { |
|
|
2560 if (rhs_nr == 0 && rhs_nc == 0) |
|
|
2561 { |
|
|
2562 lhs.maybe_delete_elements (idx_i, idx_j); |
|
|
2563 } |
|
|
2564 else |
|
|
2565 { |
|
4534
|
2566 if (rhs_nr == 1 && rhs_nc == 1 && n >= 0 && m >= 0) |
|
4517
|
2567 { |
|
4534
|
2568 // No need to do anything if either of the indices |
|
|
2569 // are empty. |
|
|
2570 |
|
|
2571 if (n > 0 && m > 0) |
|
4517
|
2572 { |
|
4534
|
2573 MAYBE_RESIZE_LHS; |
|
|
2574 |
|
|
2575 RT scalar = rhs.elem (0, 0); |
|
|
2576 |
|
|
2577 for (int j = 0; j < m; j++) |
|
4517
|
2578 { |
|
4534
|
2579 int jj = idx_j.elem (j); |
|
|
2580 for (int i = 0; i < n; i++) |
|
|
2581 { |
|
|
2582 int ii = idx_i.elem (i); |
|
|
2583 lhs.elem (ii, jj) = scalar; |
|
|
2584 } |
|
4517
|
2585 } |
|
|
2586 } |
|
|
2587 } |
|
|
2588 else if (n == rhs_nr && m == rhs_nc) |
|
|
2589 { |
|
|
2590 if (n > 0 && m > 0) |
|
|
2591 { |
|
|
2592 MAYBE_RESIZE_LHS; |
|
|
2593 |
|
|
2594 for (int j = 0; j < m; j++) |
|
|
2595 { |
|
|
2596 int jj = idx_j.elem (j); |
|
|
2597 for (int i = 0; i < n; i++) |
|
|
2598 { |
|
|
2599 int ii = idx_i.elem (i); |
|
|
2600 lhs.elem (ii, jj) = rhs.elem (i, j); |
|
|
2601 } |
|
|
2602 } |
|
|
2603 } |
|
|
2604 } |
|
|
2605 else if (n == 0 && m == 0) |
|
|
2606 { |
|
|
2607 if (! ((rhs_nr == 1 && rhs_nc == 1) |
|
|
2608 || (rhs_nr == 0 && rhs_nc == 0))) |
|
|
2609 { |
|
|
2610 (*current_liboctave_error_handler) |
|
|
2611 ("A([], []) = X: X must be an empty matrix or a scalar"); |
|
|
2612 |
|
|
2613 retval = 0; |
|
|
2614 } |
|
|
2615 } |
|
|
2616 else |
|
|
2617 { |
|
|
2618 (*current_liboctave_error_handler) |
|
|
2619 ("A(I, J) = X: X must be a scalar or the number of elements in I must"); |
|
|
2620 (*current_liboctave_error_handler) |
|
|
2621 ("match the number of rows in X and the number of elements in J must"); |
|
|
2622 (*current_liboctave_error_handler) |
|
|
2623 ("match the number of columns in X"); |
|
|
2624 |
|
|
2625 retval = 0; |
|
|
2626 } |
|
|
2627 } |
|
|
2628 } |
|
|
2629 // idx_vector::freeze() printed an error message for us. |
|
|
2630 } |
|
|
2631 else if (n_idx == 1) |
|
|
2632 { |
|
|
2633 int lhs_is_empty = lhs_nr == 0 || lhs_nc == 0; |
|
|
2634 |
|
|
2635 if (lhs_is_empty || (lhs_nr == 1 && lhs_nc == 1)) |
|
|
2636 { |
|
|
2637 int lhs_len = lhs.length (); |
|
|
2638 |
|
|
2639 int n = idx_i.freeze (lhs_len, 0, true, liboctave_wrore_flag); |
|
|
2640 |
|
|
2641 if (idx_i) |
|
|
2642 { |
|
|
2643 if (rhs_nr == 0 && rhs_nc == 0) |
|
|
2644 { |
|
|
2645 if (n != 0 && (lhs_nr != 0 || lhs_nc != 0)) |
|
|
2646 lhs.maybe_delete_elements (idx_i); |
|
|
2647 } |
|
|
2648 else |
|
|
2649 { |
|
|
2650 if (liboctave_wfi_flag) |
|
|
2651 { |
|
|
2652 if (lhs_is_empty |
|
|
2653 && idx_i.is_colon () |
|
|
2654 && ! (rhs_nr == 1 || rhs_nc == 1)) |
|
|
2655 { |
|
|
2656 (*current_liboctave_warning_handler) |
|
|
2657 ("A(:) = X: X is not a vector or scalar"); |
|
|
2658 } |
|
|
2659 else |
|
|
2660 { |
|
|
2661 int idx_nr = idx_i.orig_rows (); |
|
|
2662 int idx_nc = idx_i.orig_columns (); |
|
|
2663 |
|
|
2664 if (! (rhs_nr == idx_nr && rhs_nc == idx_nc)) |
|
|
2665 (*current_liboctave_warning_handler) |
|
|
2666 ("A(I) = X: X does not have same shape as I"); |
|
|
2667 } |
|
|
2668 } |
|
|
2669 |
|
|
2670 if (assign1 ((Array<LT>&) lhs, (Array<RT>&) rhs, rfv)) |
|
|
2671 { |
|
|
2672 int len = lhs.length (); |
|
|
2673 |
|
|
2674 if (len > 0) |
|
|
2675 { |
|
|
2676 // The following behavior is much simplified |
|
|
2677 // over previous versions of Octave. It |
|
|
2678 // seems to be compatible with Matlab. |
|
|
2679 |
|
|
2680 lhs.dimensions = dim_vector (1, lhs.length ()); |
|
|
2681 } |
|
|
2682 else |
|
|
2683 lhs.dimensions = dim_vector (0, 0); |
|
|
2684 } |
|
|
2685 else |
|
|
2686 retval = 0; |
|
|
2687 } |
|
|
2688 } |
|
|
2689 // idx_vector::freeze() printed an error message for us. |
|
|
2690 } |
|
|
2691 else if (lhs_nr == 1) |
|
|
2692 { |
|
|
2693 idx_i.freeze (lhs_nc, "vector", true, liboctave_wrore_flag); |
|
|
2694 |
|
|
2695 if (idx_i) |
|
|
2696 { |
|
|
2697 if (rhs_nr == 0 && rhs_nc == 0) |
|
|
2698 lhs.maybe_delete_elements (idx_i); |
|
|
2699 else |
|
|
2700 { |
|
|
2701 if (assign1 ((Array<LT>&) lhs, (Array<RT>&) rhs, rfv)) |
|
|
2702 lhs.dimensions = dim_vector (1, lhs.length ()); |
|
|
2703 else |
|
|
2704 retval = 0; |
|
|
2705 } |
|
|
2706 } |
|
|
2707 // idx_vector::freeze() printed an error message for us. |
|
|
2708 } |
|
|
2709 else if (lhs_nc == 1) |
|
|
2710 { |
|
|
2711 idx_i.freeze (lhs_nr, "vector", true, liboctave_wrore_flag); |
|
|
2712 |
|
|
2713 if (idx_i) |
|
|
2714 { |
|
|
2715 if (rhs_nr == 0 && rhs_nc == 0) |
|
|
2716 lhs.maybe_delete_elements (idx_i); |
|
|
2717 else |
|
|
2718 { |
|
|
2719 if (assign1 ((Array<LT>&) lhs, (Array<RT>&) rhs, rfv)) |
|
|
2720 lhs.dimensions = dim_vector (lhs.length (), 1); |
|
|
2721 else |
|
|
2722 retval = 0; |
|
|
2723 } |
|
|
2724 } |
|
|
2725 // idx_vector::freeze() printed an error message for us. |
|
|
2726 } |
|
|
2727 else |
|
|
2728 { |
|
|
2729 if (liboctave_wfi_flag |
|
|
2730 && ! (idx_i.is_colon () |
|
|
2731 || (idx_i.one_zero_only () |
|
|
2732 && idx_i.orig_rows () == lhs_nr |
|
|
2733 && idx_i.orig_columns () == lhs_nc))) |
|
|
2734 (*current_liboctave_warning_handler) |
|
|
2735 ("single index used for matrix"); |
|
|
2736 |
|
|
2737 int len = idx_i.freeze (lhs_nr * lhs_nc, "matrix"); |
|
|
2738 |
|
|
2739 if (idx_i) |
|
|
2740 { |
|
4756
|
2741 if (rhs_nr == 0 && rhs_nc == 0) |
|
|
2742 lhs.maybe_delete_elements (idx_i); |
|
|
2743 else if (len == 0) |
|
4517
|
2744 { |
|
|
2745 if (! ((rhs_nr == 1 && rhs_nc == 1) |
|
|
2746 || (rhs_nr == 0 && rhs_nc == 0))) |
|
|
2747 (*current_liboctave_error_handler) |
|
|
2748 ("A([]) = X: X must be an empty matrix or scalar"); |
|
|
2749 } |
|
|
2750 else if (len == rhs_nr * rhs_nc) |
|
|
2751 { |
|
|
2752 int k = 0; |
|
|
2753 for (int j = 0; j < rhs_nc; j++) |
|
|
2754 { |
|
|
2755 for (int i = 0; i < rhs_nr; i++) |
|
|
2756 { |
|
|
2757 int ii = idx_i.elem (k++); |
|
|
2758 int fr = ii % lhs_nr; |
|
|
2759 int fc = (ii - fr) / lhs_nr; |
|
|
2760 lhs.elem (fr, fc) = rhs.elem (i, j); |
|
|
2761 } |
|
|
2762 } |
|
|
2763 } |
|
4716
|
2764 else if (rhs_nr == 1 && rhs_nc == 1) |
|
4517
|
2765 { |
|
|
2766 RT scalar = rhs.elem (0, 0); |
|
|
2767 |
|
|
2768 for (int i = 0; i < len; i++) |
|
|
2769 { |
|
|
2770 int ii = idx_i.elem (i); |
|
4716
|
2771 lhs.elem (ii) = scalar; |
|
4517
|
2772 } |
|
|
2773 } |
|
|
2774 else |
|
|
2775 { |
|
|
2776 (*current_liboctave_error_handler) |
|
|
2777 ("A(I) = X: X must be a scalar or a matrix with the same size as I"); |
|
|
2778 |
|
|
2779 retval = 0; |
|
|
2780 } |
|
|
2781 } |
|
|
2782 // idx_vector::freeze() printed an error message for us. |
|
|
2783 } |
|
|
2784 } |
|
|
2785 else |
|
|
2786 { |
|
|
2787 (*current_liboctave_error_handler) |
|
|
2788 ("invalid number of indices for matrix expression"); |
|
|
2789 |
|
|
2790 retval = 0; |
|
|
2791 } |
|
|
2792 |
|
|
2793 lhs.clear_index (); |
|
|
2794 |
|
|
2795 return retval; |
|
|
2796 } |
|
|
2797 |
|
|
2798 template <class LT, class RT> |
|
|
2799 int |
|
|
2800 assignN (Array<LT>& lhs, const Array<RT>& rhs, const LT& rfv) |
|
|
2801 { |
|
|
2802 int retval = 1; |
|
|
2803 |
|
4746
|
2804 dim_vector rhs_dims = rhs.dims (); |
|
|
2805 |
|
|
2806 int rhs_dims_len = rhs_dims.length (); |
|
|
2807 |
|
|
2808 bool rhs_is_scalar = is_scalar (rhs_dims); |
|
|
2809 |
|
4517
|
2810 int n_idx = lhs.index_count (); |
|
|
2811 |
|
4745
|
2812 idx_vector *idx_vex = lhs.get_idx (); |
|
|
2813 |
|
|
2814 Array<idx_vector> idx = conv_to_array (idx_vex, n_idx); |
|
4517
|
2815 |
|
4743
|
2816 if (rhs_dims_len == 2 && rhs_dims(0) == 0 && rhs_dims(1) == 0) |
|
4517
|
2817 { |
|
|
2818 lhs.maybe_delete_elements (idx, rfv); |
|
|
2819 } |
|
4657
|
2820 else if (n_idx == 1) |
|
4517
|
2821 { |
|
4657
|
2822 idx_vector iidx = idx(0); |
|
|
2823 |
|
|
2824 if (liboctave_wfi_flag |
|
|
2825 && ! (iidx.is_colon () |
|
|
2826 || (iidx.one_zero_only () |
|
|
2827 && iidx.orig_dimensions () == lhs.dims ()))) |
|
|
2828 (*current_liboctave_warning_handler) |
|
4746
|
2829 ("single index used for N-d array"); |
|
4657
|
2830 |
|
|
2831 int lhs_len = lhs.length (); |
|
|
2832 |
|
4746
|
2833 int len = iidx.freeze (lhs_len, "N-d arrray"); |
|
4657
|
2834 |
|
|
2835 if (iidx) |
|
4533
|
2836 { |
|
4657
|
2837 if (len == 0) |
|
4656
|
2838 { |
|
4657
|
2839 if (! (rhs_dims.all_ones () || rhs_dims.all_zero ())) |
|
4743
|
2840 { |
|
|
2841 (*current_liboctave_error_handler) |
|
|
2842 ("A([]) = X: X must be an empty matrix or scalar"); |
|
|
2843 |
|
|
2844 retval = 0; |
|
|
2845 } |
|
4657
|
2846 } |
|
|
2847 else if (len == rhs.length ()) |
|
|
2848 { |
|
|
2849 for (int i = 0; i < len; i++) |
|
4656
|
2850 { |
|
4657
|
2851 int ii = iidx.elem (i); |
|
|
2852 |
|
|
2853 lhs.elem (ii) = rhs.elem (i); |
|
4656
|
2854 } |
|
|
2855 } |
|
4716
|
2856 else if (rhs_is_scalar) |
|
4657
|
2857 { |
|
|
2858 RT scalar = rhs.elem (0); |
|
|
2859 |
|
|
2860 for (int i = 0; i < len; i++) |
|
|
2861 { |
|
|
2862 int ii = iidx.elem (i); |
|
|
2863 |
|
|
2864 lhs.elem (ii) = scalar; |
|
|
2865 } |
|
|
2866 } |
|
|
2867 else |
|
|
2868 { |
|
|
2869 (*current_liboctave_error_handler) |
|
4702
|
2870 ("A(I) = X: X must be a scalar or a matrix with the same size as I"); |
|
|
2871 |
|
4657
|
2872 retval = 0; |
|
|
2873 } |
|
|
2874 |
|
4656
|
2875 // idx_vector::freeze() printed an error message for us. |
|
4533
|
2876 } |
|
4702
|
2877 } |
|
4743
|
2878 else |
|
4702
|
2879 { |
|
4746
|
2880 // Maybe expand to more dimensions. |
|
|
2881 |
|
|
2882 dim_vector lhs_dims = lhs.dims (); |
|
|
2883 |
|
|
2884 int lhs_dims_len = lhs_dims.length (); |
|
|
2885 |
|
|
2886 dim_vector final_lhs_dims = lhs_dims; |
|
|
2887 |
|
|
2888 dim_vector frozen_len; |
|
|
2889 |
|
4747
|
2890 int orig_lhs_dims_len = lhs_dims_len; |
|
|
2891 |
|
|
2892 bool orig_empty = lhs_dims.all_zero (); |
|
|
2893 |
|
|
2894 if (n_idx < lhs_dims_len) |
|
4517
|
2895 { |
|
4747
|
2896 // Collapse dimensions beyond last index. |
|
|
2897 |
|
|
2898 if (liboctave_wfi_flag && ! (idx(n_idx-1).is_colon ())) |
|
|
2899 (*current_liboctave_warning_handler) |
|
|
2900 ("fewer indices than dimensions for N-d array"); |
|
|
2901 |
|
|
2902 for (int i = n_idx; i < lhs_dims_len; i++) |
|
|
2903 lhs_dims(n_idx-1) *= lhs_dims(i); |
|
|
2904 |
|
|
2905 lhs_dims.resize (n_idx); |
|
|
2906 |
|
|
2907 lhs.resize (lhs_dims); |
|
|
2908 |
|
|
2909 lhs_dims = lhs.dims (); |
|
|
2910 |
|
|
2911 lhs_dims_len = lhs_dims.length (); |
|
|
2912 } |
|
|
2913 |
|
|
2914 // Resize. |
|
|
2915 |
|
|
2916 dim_vector new_dims; |
|
|
2917 new_dims.resize (n_idx); |
|
|
2918 |
|
|
2919 for (int i = 0; i < n_idx; i++) |
|
|
2920 { |
|
|
2921 if (orig_empty) |
|
4746
|
2922 { |
|
4747
|
2923 // If index is a colon, resizing to RHS dimensions is |
|
|
2924 // allowed because we started out empty. |
|
4746
|
2925 |
|
|
2926 new_dims(i) |
|
4747
|
2927 = (i < rhs_dims.length () && idx(i).is_colon ()) |
|
|
2928 ? rhs_dims(i) : idx(i).max () + 1; |
|
4746
|
2929 } |
|
4747
|
2930 else |
|
4746
|
2931 { |
|
4747
|
2932 // We didn't start out with all zero dimensions, so if |
|
|
2933 // index is a colon, it refers to the current LHS |
|
|
2934 // dimension. Otherwise, it is OK to enlarge to a |
|
4749
|
2935 // dimension given by the largest index (but that index |
|
|
2936 // needs to be a number, not a colon). |
|
|
2937 |
|
|
2938 if (i < lhs_dims_len |
|
|
2939 && (idx(i).is_colon () || idx(i).max () < lhs_dims(i))) |
|
|
2940 new_dims(i) = lhs_dims(i); |
|
|
2941 else if (! idx(i).is_colon ()) |
|
|
2942 new_dims(i) = idx(i).max () + 1; |
|
|
2943 else |
|
|
2944 { |
|
|
2945 // XXX FIXME XXX -- can we provide a more |
|
|
2946 // informative message here? |
|
|
2947 |
|
|
2948 (*current_liboctave_error_handler) |
|
|
2949 ("invalid array index for assignment"); |
|
|
2950 |
|
|
2951 retval = 0; |
|
|
2952 |
|
|
2953 break; |
|
|
2954 } |
|
4745
|
2955 } |
|
4747
|
2956 } |
|
|
2957 |
|
4749
|
2958 if (retval != 0) |
|
4747
|
2959 { |
|
4749
|
2960 if (! orig_empty |
|
|
2961 && n_idx < orig_lhs_dims_len |
|
|
2962 && new_dims(n_idx-1) != lhs_dims(n_idx-1)) |
|
4702
|
2963 { |
|
4749
|
2964 // We reshaped and the last dimension changed. This has to |
|
|
2965 // be an error, because we don't know how to undo that |
|
|
2966 // later... |
|
|
2967 |
|
|
2968 (*current_liboctave_error_handler) |
|
|
2969 ("array index %d (= %d) for assignment requires invalid resizing operation", |
|
|
2970 n_idx, new_dims(n_idx-1)); |
|
|
2971 |
|
|
2972 retval = 0; |
|
4743
|
2973 } |
|
|
2974 else |
|
|
2975 { |
|
4749
|
2976 if (n_idx < orig_lhs_dims_len) |
|
4743
|
2977 { |
|
4749
|
2978 for (int i = 0; i < n_idx-1; i++) |
|
|
2979 final_lhs_dims(i) = new_dims(i); |
|
4747
|
2980 } |
|
|
2981 else |
|
4749
|
2982 final_lhs_dims = new_dims; |
|
|
2983 |
|
|
2984 lhs.resize_and_fill (new_dims, rfv); |
|
4796
|
2985 |
|
4749
|
2986 lhs_dims = lhs.dims (); |
|
4796
|
2987 |
|
4749
|
2988 lhs_dims_len = lhs_dims.length (); |
|
|
2989 |
|
|
2990 frozen_len = freeze (idx, lhs_dims, true); |
|
|
2991 |
|
|
2992 if (rhs_is_scalar) |
|
4747
|
2993 { |
|
|
2994 if (! final_lhs_dims.any_zero ()) |
|
|
2995 { |
|
|
2996 int n = Array<LT>::get_size (frozen_len); |
|
|
2997 |
|
|
2998 Array<int> result_idx (lhs_dims_len, 0); |
|
|
2999 |
|
4749
|
3000 RT scalar = rhs.elem (0); |
|
|
3001 |
|
4747
|
3002 for (int i = 0; i < n; i++) |
|
|
3003 { |
|
|
3004 Array<int> elt_idx = get_elt_idx (idx, result_idx); |
|
|
3005 |
|
4749
|
3006 lhs.elem (elt_idx) = scalar; |
|
4747
|
3007 |
|
|
3008 increment_index (result_idx, frozen_len); |
|
|
3009 } |
|
|
3010 } |
|
4743
|
3011 } |
|
4749
|
3012 else |
|
|
3013 { |
|
|
3014 // RHS is matrix or higher dimension. |
|
|
3015 |
|
|
3016 // Check that non-singleton RHS dimensions conform to |
|
|
3017 // non-singleton LHS index dimensions. |
|
|
3018 |
|
|
3019 dim_vector t_rhs_dims = rhs_dims.squeeze (); |
|
|
3020 dim_vector t_frozen_len = frozen_len.squeeze (); |
|
|
3021 |
|
|
3022 // If after sqeezing out singleton dimensions, RHS is |
|
|
3023 // vector and LHS is vector, force them to have the same |
|
|
3024 // orientation so that operations like |
|
|
3025 // |
|
|
3026 // a = zeros (3, 3, 3); |
|
|
3027 // a(1:3,1,1) = [1,2,3]; |
|
|
3028 // |
|
|
3029 // will work. |
|
|
3030 |
|
|
3031 if (t_rhs_dims.length () == 2 && t_frozen_len.length () == 2 |
|
|
3032 && ((t_rhs_dims.elem(1) == 1 |
|
|
3033 && t_frozen_len.elem(0) == 1) |
|
|
3034 || (t_rhs_dims.elem(0) == 1 |
|
|
3035 && t_frozen_len.elem(1) == 1))) |
|
|
3036 { |
|
|
3037 int t0 = t_rhs_dims.elem(0); |
|
|
3038 t_rhs_dims.elem(0) = t_rhs_dims.elem(1); |
|
|
3039 t_rhs_dims.elem(1) = t0; |
|
|
3040 } |
|
|
3041 |
|
|
3042 if (t_rhs_dims != t_frozen_len) |
|
|
3043 { |
|
|
3044 (*current_liboctave_error_handler) |
|
|
3045 ("A(IDX-LIST) = X: X must be a scalar or size of X must equal number of elements indexed by IDX-LIST"); |
|
|
3046 |
|
|
3047 retval = 0; |
|
|
3048 } |
|
|
3049 else |
|
|
3050 { |
|
|
3051 if (! final_lhs_dims.any_zero ()) |
|
|
3052 { |
|
|
3053 int n = Array<LT>::get_size (frozen_len); |
|
|
3054 |
|
|
3055 Array<int> result_idx (lhs_dims_len, 0); |
|
|
3056 |
|
|
3057 for (int i = 0; i < n; i++) |
|
|
3058 { |
|
|
3059 Array<int> elt_idx = get_elt_idx (idx, result_idx); |
|
|
3060 |
|
|
3061 lhs.elem (elt_idx) = rhs.elem (i); |
|
|
3062 |
|
|
3063 increment_index (result_idx, frozen_len); |
|
|
3064 } |
|
|
3065 } |
|
|
3066 } |
|
|
3067 } |
|
4743
|
3068 } |
|
4517
|
3069 } |
|
4745
|
3070 |
|
4746
|
3071 lhs.resize (final_lhs_dims); |
|
4517
|
3072 } |
|
|
3073 |
|
4703
|
3074 lhs.chop_trailing_singletons (); |
|
4757
|
3075 |
|
4517
|
3076 lhs.clear_index (); |
|
|
3077 |
|
|
3078 return retval; |
|
|
3079 } |
|
|
3080 |
|
|
3081 template <class T> |
|
4806
|
3082 int |
|
|
3083 cat_ra (Array<T>& ra, const Array<T>& ra_arg, int dim, int idx, int move) |
|
4762
|
3084 { |
|
4806
|
3085 dim_vector dv_arg = ra_arg.dims (); |
|
|
3086 |
|
|
3087 const T *arg_data = ra_arg.data (); |
|
|
3088 |
|
|
3089 int numel_to_move = dv_arg(0); |
|
|
3090 |
|
|
3091 int numel_arg = dv_arg.length (); |
|
|
3092 |
|
|
3093 int ii_limit = dim+1 > numel_arg ? numel_arg : dim + 1; |
|
|
3094 |
|
|
3095 for (int ii = 1; ii < ii_limit; ii++) |
|
|
3096 numel_to_move *= dv_arg(ii); |
|
|
3097 |
|
|
3098 for (int j = 0; j < numel_to_move; j++) |
|
|
3099 ra.elem (idx++) = arg_data[numel_to_move * move + j]; |
|
|
3100 |
|
|
3101 return idx; |
|
4762
|
3102 } |
|
|
3103 |
|
|
3104 template <class T> |
|
4517
|
3105 void |
|
3933
|
3106 Array<T>::print_info (std::ostream& os, const std::string& prefix) const |
|
|
3107 { |
|
|
3108 os << prefix << "rep address: " << rep << "\n" |
|
|
3109 << prefix << "rep->len: " << rep->len << "\n" |
|
|
3110 << prefix << "rep->data: " << static_cast<void *> (rep->data) << "\n" |
|
|
3111 << prefix << "rep->count: " << rep->count << "\n"; |
|
4513
|
3112 |
|
|
3113 // 2D info: |
|
|
3114 // |
|
4657
|
3115 // << pefix << "rows: " << rows () << "\n" |
|
4513
|
3116 // << prefix << "cols: " << cols () << "\n"; |
|
3933
|
3117 } |
|
|
3118 |
|
237
|
3119 /* |
|
|
3120 ;;; Local Variables: *** |
|
|
3121 ;;; mode: C++ *** |
|
|
3122 ;;; End: *** |
|
|
3123 */ |
