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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, Inc., 51 Franklin Street, Fifth Floor, Boston, MA |
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21 02110-1301, USA. |
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22 |
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23 */ |
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24 |
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25 #ifdef HAVE_CONFIG_H |
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26 #include <config.h> |
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27 #endif |
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28 |
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29 #include <cassert> |
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30 #include <climits> |
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31 |
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32 #include <iostream> |
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33 #include <sstream> |
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34 #include <vector> |
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35 |
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36 #include "Array.h" |
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37 #include "Array-util.h" |
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38 #include "Range.h" |
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39 #include "idx-vector.h" |
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40 #include "lo-error.h" |
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41 |
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42 // One dimensional array class. Handles the reference counting for |
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43 // all the derived classes. |
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44 |
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45 template <class T> |
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46 Array<T>::Array (const Array<T>& a, const dim_vector& dv) |
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47 : rep (a.rep), dimensions (dv), idx (0), idx_count (0) |
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48 { |
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49 rep->count++; |
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50 |
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51 if (a.numel () < dv.numel ()) |
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52 (*current_liboctave_error_handler) |
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53 ("Array::Array (const Array&, const dim_vector&): dimension mismatch"); |
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54 } |
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55 |
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56 template <class T> |
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57 Array<T>::~Array (void) |
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58 { |
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59 if (--rep->count <= 0) |
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60 delete rep; |
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61 |
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62 delete [] idx; |
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63 } |
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64 |
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4532
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65 template <class T> |
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66 Array<T> |
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67 Array<T>::squeeze (void) const |
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68 { |
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69 Array<T> retval = *this; |
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70 |
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71 if (ndims () > 2) |
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72 { |
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73 bool dims_changed = false; |
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74 |
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75 dim_vector new_dimensions = dimensions; |
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76 |
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77 int k = 0; |
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78 |
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79 for (int i = 0; i < ndims (); i++) |
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80 { |
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81 if (dimensions(i) == 1) |
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82 dims_changed = true; |
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83 else |
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84 new_dimensions(k++) = dimensions(i); |
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85 } |
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86 |
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87 if (dims_changed) |
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88 { |
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89 switch (k) |
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90 { |
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91 case 0: |
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92 new_dimensions = dim_vector (1, 1); |
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93 break; |
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94 |
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95 case 1: |
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96 { |
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97 octave_idx_type tmp = new_dimensions(0); |
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98 |
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99 new_dimensions.resize (2); |
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100 |
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101 new_dimensions(0) = tmp; |
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102 new_dimensions(1) = 1; |
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103 } |
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104 break; |
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105 |
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106 default: |
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107 new_dimensions.resize (k); |
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108 break; |
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109 } |
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4759
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110 } |
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111 |
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112 // FIXME -- it would be better if we did not have to do |
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113 // this, so we could share the data while still having different |
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114 // dimension vectors. |
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115 |
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116 retval.make_unique (); |
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117 |
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118 retval.dimensions = new_dimensions; |
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119 } |
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120 |
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121 return retval; |
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122 } |
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123 |
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124 // A guess (should be quite conservative). |
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125 #define MALLOC_OVERHEAD 1024 |
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126 |
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127 template <class T> |
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128 octave_idx_type |
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129 Array<T>::get_size (octave_idx_type r, octave_idx_type c) |
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130 { |
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131 // KLUGE |
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132 |
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133 // If an allocation of an array with r * c elements of type T |
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134 // would cause an overflow in the allocator when computing the |
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135 // size of the allocation, then return a value which, although |
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136 // not equivalent to the actual request, should be too large for |
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137 // most current hardware, but not so large to cause the |
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138 // allocator to barf on computing retval * sizeof (T). |
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139 |
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140 static int nl; |
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141 static double dl |
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142 = frexp (static_cast<double> |
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143 (std::numeric_limits<octave_idx_type>::max() - MALLOC_OVERHEAD) / sizeof (T), &nl); |
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144 |
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145 // This value should be an integer. If we return this value and |
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146 // things work the way we expect, we should be paying a visit to |
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147 // new_handler in no time flat. |
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148 static octave_idx_type max_items = static_cast<octave_idx_type> (ldexp (dl, nl)); // = dl.2^nl |
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149 |
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150 int nr, nc; |
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151 double dr = frexp (static_cast<double> (r), &nr); // r = dr * 2^nr |
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152 double dc = frexp (static_cast<double> (c), &nc); // c = dc * 2^nc |
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153 |
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154 int nt = nr + nc; |
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155 double dt = dr * dc; |
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156 |
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157 if (dt < 0.5) |
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158 { |
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159 nt--; |
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160 dt *= 2; |
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161 } |
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162 |
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163 // if (r*c) below limit, then return r*c, otherwise return TOO BIG num! |
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164 return (nt < nl || (nt == nl && dt < dl)) ? r * c : max_items; |
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237
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165 } |
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166 |
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167 template <class T> |
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168 octave_idx_type |
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169 Array<T>::get_size (octave_idx_type r, octave_idx_type c, octave_idx_type p) |
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237
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170 { |
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171 // KLUGE |
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172 |
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173 // If an allocation of an array with r * c * p elements of type T |
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174 // would cause an overflow in the allocator when computing the |
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175 // size of the allocation, then return a value which, although |
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176 // not equivalent to the actual request, should be too large for |
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177 // most current hardware, but not so large to cause the |
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178 // allocator to barf on computing retval * sizeof (T). |
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179 |
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180 static int nl; |
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181 static double dl |
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182 = frexp (static_cast<double> |
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183 (std::numeric_limits<octave_idx_type>::max() - MALLOC_OVERHEAD) / sizeof (T), &nl); |
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184 |
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185 // This value should be an integer. If we return this value and |
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186 // things work the way we expect, we should be paying a visit to |
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187 // new_handler in no time flat. |
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188 static octave_idx_type max_items = static_cast<octave_idx_type> (ldexp (dl, nl)); |
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189 |
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190 int nr, nc, np; |
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191 double dr = frexp (static_cast<double> (r), &nr); |
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192 double dc = frexp (static_cast<double> (c), &nc); |
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193 double dp = frexp (static_cast<double> (p), &np); |
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194 |
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195 int nt = nr + nc + np; |
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196 double dt = dr * dc * dp; |
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197 |
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198 if (dt < 0.5) |
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199 { |
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200 nt--; |
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201 dt *= 2; |
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202 |
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203 if (dt < 0.5) |
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204 { |
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205 nt--; |
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206 dt *= 2; |
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207 } |
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659
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208 } |
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209 |
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210 return (nt < nl || (nt == nl && dt < dl)) ? r * c * p : max_items; |
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237
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211 } |
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212 |
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213 template <class T> |
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214 octave_idx_type |
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215 Array<T>::get_size (const dim_vector& ra_idx) |
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216 { |
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217 // KLUGE |
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218 |
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219 // If an allocation of an array with r * c elements of type T |
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220 // would cause an overflow in the allocator when computing the |
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221 // size of the allocation, then return a value which, although |
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222 // not equivalent to the actual request, should be too large for |
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223 // most current hardware, but not so large to cause the |
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224 // allocator to barf on computing retval * sizeof (T). |
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225 |
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226 static int nl; |
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227 static double dl |
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228 = frexp (static_cast<double> |
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229 (std::numeric_limits<octave_idx_type>::max() - MALLOC_OVERHEAD) / sizeof (T), &nl); |
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230 |
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231 // This value should be an integer. If we return this value and |
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232 // things work the way we expect, we should be paying a visit to |
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233 // new_handler in no time flat. |
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234 |
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235 static octave_idx_type max_items = static_cast<octave_idx_type> (ldexp (dl, nl)); |
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236 |
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237 octave_idx_type retval = max_items; |
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238 |
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239 int n = ra_idx.length (); |
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240 |
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241 int nt = 0; |
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242 double dt = 1; |
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243 |
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244 for (int i = 0; i < n; i++) |
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237
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245 { |
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4513
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246 int nra_idx; |
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247 double dra_idx = frexp (static_cast<double> (ra_idx(i)), &nra_idx); |
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248 |
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249 nt += nra_idx; |
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250 dt *= dra_idx; |
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4532
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251 |
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252 if (dt < 0.5) |
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253 { |
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254 nt--; |
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255 dt *= 2; |
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256 } |
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237
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257 } |
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258 |
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259 if (nt < nl || (nt == nl && dt < dl)) |
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260 { |
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261 retval = 1; |
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262 |
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263 for (int i = 0; i < n; i++) |
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264 retval *= ra_idx(i); |
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265 } |
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266 |
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267 return retval; |
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237
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268 } |
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269 |
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4513
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270 #undef MALLOC_OVERHEAD |
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271 |
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237
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272 template <class T> |
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273 octave_idx_type |
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274 Array<T>::compute_index (const Array<octave_idx_type>& ra_idx) const |
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237
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275 { |
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5275
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276 octave_idx_type retval = -1; |
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277 |
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278 int n = dimensions.length (); |
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279 |
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280 if (n > 0 && n == ra_idx.length ()) |
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237
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281 { |
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282 retval = ra_idx(--n); |
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237
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283 |
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284 while (--n >= 0) |
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285 { |
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286 retval *= dimensions(n); |
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287 retval += ra_idx(n); |
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288 } |
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289 } |
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290 else |
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291 (*current_liboctave_error_handler) |
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292 ("Array<T>::compute_index: invalid ra_idxing operation"); |
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237
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293 |
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294 return retval; |
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237
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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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299 Array<T>::range_error (const char *fcn, octave_idx_type n) const |
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300 { |
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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 return T (); |
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303 } |
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304 |
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305 template <class T> |
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306 T& |
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307 Array<T>::range_error (const char *fcn, octave_idx_type n) |
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2049
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308 { |
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2109
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309 (*current_liboctave_error_handler) ("%s (%d): range error", fcn, n); |
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2049
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310 static T foo; |
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311 return foo; |
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312 } |
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313 |
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3933
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314 template <class T> |
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4513
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315 T |
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5275
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316 Array<T>::range_error (const char *fcn, octave_idx_type i, octave_idx_type j) const |
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4513
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317 { |
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318 (*current_liboctave_error_handler) |
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319 ("%s (%d, %d): range error", fcn, i, j); |
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320 return T (); |
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321 } |
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322 |
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323 template <class T> |
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324 T& |
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5275
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325 Array<T>::range_error (const char *fcn, octave_idx_type i, octave_idx_type j) |
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4513
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326 { |
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327 (*current_liboctave_error_handler) |
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328 ("%s (%d, %d): range error", fcn, i, j); |
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329 static T foo; |
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330 return foo; |
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331 } |
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332 |
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333 template <class T> |
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334 T |
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5275
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335 Array<T>::range_error (const char *fcn, octave_idx_type i, octave_idx_type j, octave_idx_type k) const |
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4513
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336 { |
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337 (*current_liboctave_error_handler) |
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338 ("%s (%d, %d, %d): range error", fcn, i, j, k); |
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339 return T (); |
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340 } |
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341 |
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342 template <class T> |
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343 T& |
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5275
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344 Array<T>::range_error (const char *fcn, octave_idx_type i, octave_idx_type j, octave_idx_type k) |
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4513
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345 { |
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346 (*current_liboctave_error_handler) |
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347 ("%s (%d, %d, %d): range error", fcn, i, j, k); |
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348 static T foo; |
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349 return foo; |
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350 } |
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351 |
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352 template <class T> |
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353 T |
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354 Array<T>::range_error (const char *fcn, const Array<int>& ra_idx) const |
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355 { |
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5765
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356 std::ostringstream buf; |
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4661
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357 |
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358 buf << fcn << " ("; |
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359 |
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5275
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360 octave_idx_type n = ra_idx.length (); |
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4661
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361 |
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362 if (n > 0) |
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363 buf << ra_idx(0); |
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364 |
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5275
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365 for (octave_idx_type i = 1; i < n; i++) |
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4661
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366 buf << ", " << ra_idx(i); |
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367 |
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368 buf << "): range error"; |
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369 |
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5765
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370 std::string buf_str = buf.str (); |
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371 |
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372 (*current_liboctave_error_handler) (buf_str.c_str ()); |
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4513
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373 |
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374 return T (); |
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375 } |
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376 |
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377 template <class T> |
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378 T& |
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379 Array<T>::range_error (const char *fcn, const Array<int>& ra_idx) |
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380 { |
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5765
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381 std::ostringstream buf; |
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4661
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382 |
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383 buf << fcn << " ("; |
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384 |
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5275
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385 octave_idx_type n = ra_idx.length (); |
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4661
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386 |
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387 if (n > 0) |
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388 buf << ra_idx(0); |
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389 |
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5275
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390 for (octave_idx_type i = 1; i < n; i++) |
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4661
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391 buf << ", " << ra_idx(i); |
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392 |
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393 buf << "): range error"; |
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394 |
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5765
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395 std::string buf_str = buf.str (); |
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396 |
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397 (*current_liboctave_error_handler) (buf_str.c_str ()); |
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4513
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398 |
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399 static T foo; |
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400 return foo; |
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401 } |
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402 |
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403 template <class T> |
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4567
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404 Array<T> |
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405 Array<T>::reshape (const dim_vector& new_dims) const |
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406 { |
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407 Array<T> retval; |
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408 |
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409 if (dimensions != new_dims) |
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410 { |
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411 if (dimensions.numel () == new_dims.numel ()) |
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412 retval = Array<T> (*this, new_dims); |
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413 else |
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414 (*current_liboctave_error_handler) ("reshape: size mismatch"); |
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415 } |
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4916
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416 else |
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417 retval = *this; |
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4567
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418 |
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419 return retval; |
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420 } |
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421 |
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5607
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422 struct |
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423 permute_vector |
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424 { |
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425 octave_idx_type pidx; |
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426 octave_idx_type iidx; |
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427 }; |
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428 |
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429 static int |
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430 permute_vector_compare (const void *a, const void *b) |
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431 { |
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432 const permute_vector *pva = static_cast<const permute_vector *> (a); |
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433 const permute_vector *pvb = static_cast<const permute_vector *> (b); |
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434 |
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435 return pva->pidx > pvb->pidx; |
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436 } |
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437 |
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4567
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438 template <class T> |
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4593
|
439 Array<T> |
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5607
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440 Array<T>::permute (const Array<octave_idx_type>& perm_vec_arg, bool inv) const |
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4593
|
441 { |
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442 Array<T> retval; |
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443 |
|
5607
|
444 Array<octave_idx_type> perm_vec = perm_vec_arg; |
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445 |
|
4593
|
446 dim_vector dv = dims (); |
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|
447 dim_vector dv_new; |
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448 |
|
5148
|
449 int perm_vec_len = perm_vec.length (); |
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450 |
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451 if (perm_vec_len < dv.length ()) |
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452 (*current_liboctave_error_handler) |
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|
453 ("%s: invalid permutation vector", inv ? "ipermute" : "permute"); |
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454 |
|
|
455 dv_new.resize (perm_vec_len); |
|
|
456 |
|
|
457 // Append singleton dimensions as needed. |
|
|
458 dv.resize (perm_vec_len, 1); |
|
|
459 |
|
4593
|
460 // Need this array to check for identical elements in permutation array. |
|
5148
|
461 Array<bool> checked (perm_vec_len, false); |
|
4593
|
462 |
|
|
463 // Find dimension vector of permuted array. |
|
5148
|
464 for (int i = 0; i < perm_vec_len; i++) |
|
4593
|
465 { |
|
5275
|
466 octave_idx_type perm_elt = perm_vec.elem (i); |
|
5148
|
467 |
|
|
468 if (perm_elt >= perm_vec_len || perm_elt < 0) |
|
4593
|
469 { |
|
|
470 (*current_liboctave_error_handler) |
|
5148
|
471 ("%s: permutation vector contains an invalid element", |
|
|
472 inv ? "ipermute" : "permute"); |
|
4593
|
473 |
|
|
474 return retval; |
|
|
475 } |
|
|
476 |
|
5148
|
477 if (checked.elem(perm_elt)) |
|
4593
|
478 { |
|
|
479 (*current_liboctave_error_handler) |
|
5148
|
480 ("%s: permutation vector cannot contain identical elements", |
|
|
481 inv ? "ipermute" : "permute"); |
|
4593
|
482 |
|
|
483 return retval; |
|
|
484 } |
|
|
485 else |
|
5148
|
486 checked.elem(perm_elt) = true; |
|
|
487 |
|
|
488 dv_new(i) = dv(perm_elt); |
|
4593
|
489 } |
|
|
490 |
|
5607
|
491 int nd = dv.length (); |
|
|
492 |
|
5775
|
493 // FIXME -- it would be nice to have a sort method in the |
|
5607
|
494 // Array class that also returns the sort indices. |
|
|
495 |
|
|
496 if (inv) |
|
|
497 { |
|
|
498 OCTAVE_LOCAL_BUFFER (permute_vector, pvec, nd); |
|
|
499 |
|
|
500 for (int i = 0; i < nd; i++) |
|
|
501 { |
|
|
502 pvec[i].pidx = perm_vec(i); |
|
|
503 pvec[i].iidx = i; |
|
|
504 } |
|
|
505 |
|
|
506 octave_qsort (pvec, static_cast<size_t> (nd), |
|
|
507 sizeof (permute_vector), permute_vector_compare); |
|
|
508 |
|
|
509 for (int i = 0; i < nd; i++) |
|
|
510 { |
|
|
511 perm_vec(i) = pvec[i].iidx; |
|
|
512 dv_new(i) = dv(perm_vec(i)); |
|
|
513 } |
|
|
514 } |
|
|
515 |
|
4593
|
516 retval.resize (dv_new); |
|
|
517 |
|
5940
|
518 if (numel () > 0) |
|
5607
|
519 { |
|
5940
|
520 Array<octave_idx_type> cp (nd+1, 1); |
|
|
521 for (octave_idx_type i = 1; i < nd+1; i++) |
|
|
522 cp(i) = cp(i-1) * dv(i-1); |
|
|
523 |
|
|
524 octave_idx_type incr = cp(perm_vec(0)); |
|
|
525 |
|
|
526 Array<octave_idx_type> base_delta (nd-1, 0); |
|
|
527 Array<octave_idx_type> base_delta_max (nd-1); |
|
|
528 Array<octave_idx_type> base_incr (nd-1); |
|
|
529 for (octave_idx_type i = 0; i < nd-1; i++) |
|
5607
|
530 { |
|
5940
|
531 base_delta_max(i) = dv_new(i+1); |
|
|
532 base_incr(i) = cp(perm_vec(i+1)); |
|
5607
|
533 } |
|
|
534 |
|
5940
|
535 octave_idx_type nr_new = dv_new(0); |
|
|
536 octave_idx_type nel_new = dv_new.numel (); |
|
|
537 octave_idx_type n = nel_new / nr_new; |
|
|
538 |
|
|
539 octave_idx_type k = 0; |
|
|
540 |
|
|
541 for (octave_idx_type i = 0; i < n; i++) |
|
5607
|
542 { |
|
5940
|
543 octave_idx_type iidx = 0; |
|
|
544 for (octave_idx_type kk = 0; kk < nd-1; kk++) |
|
|
545 iidx += base_delta(kk) * base_incr(kk); |
|
|
546 |
|
|
547 for (octave_idx_type j = 0; j < nr_new; j++) |
|
5607
|
548 { |
|
5940
|
549 OCTAVE_QUIT; |
|
|
550 |
|
|
551 retval(k++) = elem(iidx); |
|
|
552 iidx += incr; |
|
|
553 } |
|
|
554 |
|
|
555 base_delta(0)++; |
|
|
556 |
|
|
557 for (octave_idx_type kk = 0; kk < nd-2; kk++) |
|
|
558 { |
|
|
559 if (base_delta(kk) == base_delta_max(kk)) |
|
|
560 { |
|
|
561 base_delta(kk) = 0; |
|
|
562 base_delta(kk+1)++; |
|
|
563 } |
|
5607
|
564 } |
|
|
565 } |
|
4593
|
566 } |
|
|
567 |
|
5340
|
568 retval.chop_trailing_singletons (); |
|
5338
|
569 |
|
4593
|
570 return retval; |
|
|
571 } |
|
|
572 |
|
|
573 template <class T> |
|
4513
|
574 void |
|
5275
|
575 Array<T>::resize_no_fill (octave_idx_type n) |
|
4513
|
576 { |
|
|
577 if (n < 0) |
|
|
578 { |
|
|
579 (*current_liboctave_error_handler) |
|
|
580 ("can't resize to negative dimension"); |
|
|
581 return; |
|
|
582 } |
|
|
583 |
|
|
584 if (n == length ()) |
|
|
585 return; |
|
|
586 |
|
|
587 typename Array<T>::ArrayRep *old_rep = rep; |
|
|
588 const T *old_data = data (); |
|
5275
|
589 octave_idx_type old_len = length (); |
|
4513
|
590 |
|
|
591 rep = new typename Array<T>::ArrayRep (n); |
|
|
592 |
|
|
593 dimensions = dim_vector (n); |
|
|
594 |
|
4747
|
595 if (n > 0 && old_data && old_len > 0) |
|
4513
|
596 { |
|
5275
|
597 octave_idx_type min_len = old_len < n ? old_len : n; |
|
|
598 |
|
|
599 for (octave_idx_type i = 0; i < min_len; i++) |
|
4513
|
600 xelem (i) = old_data[i]; |
|
|
601 } |
|
|
602 |
|
|
603 if (--old_rep->count <= 0) |
|
|
604 delete old_rep; |
|
|
605 } |
|
|
606 |
|
|
607 template <class T> |
|
|
608 void |
|
4587
|
609 Array<T>::resize_no_fill (const dim_vector& dv) |
|
4513
|
610 { |
|
5275
|
611 octave_idx_type n = dv.length (); |
|
|
612 |
|
|
613 for (octave_idx_type i = 0; i < n; i++) |
|
4513
|
614 { |
|
4587
|
615 if (dv(i) < 0) |
|
4513
|
616 { |
|
|
617 (*current_liboctave_error_handler) |
|
|
618 ("can't resize to negative dimension"); |
|
|
619 return; |
|
|
620 } |
|
|
621 } |
|
|
622 |
|
4548
|
623 bool same_size = true; |
|
|
624 |
|
|
625 if (dimensions.length () != n) |
|
|
626 { |
|
|
627 same_size = false; |
|
|
628 } |
|
|
629 else |
|
4513
|
630 { |
|
5275
|
631 for (octave_idx_type i = 0; i < n; i++) |
|
4513
|
632 { |
|
4587
|
633 if (dv(i) != dimensions(i)) |
|
4548
|
634 { |
|
|
635 same_size = false; |
|
|
636 break; |
|
|
637 } |
|
4513
|
638 } |
|
|
639 } |
|
|
640 |
|
4548
|
641 if (same_size) |
|
4513
|
642 return; |
|
|
643 |
|
|
644 typename Array<T>::ArrayRep *old_rep = rep; |
|
|
645 const T *old_data = data (); |
|
|
646 |
|
5275
|
647 octave_idx_type ts = get_size (dv); |
|
4747
|
648 |
|
|
649 rep = new typename Array<T>::ArrayRep (ts); |
|
4587
|
650 |
|
4870
|
651 dim_vector dv_old = dimensions; |
|
5275
|
652 octave_idx_type dv_old_orig_len = dv_old.length (); |
|
4587
|
653 dimensions = dv; |
|
5275
|
654 octave_idx_type ts_old = get_size (dv_old); |
|
4915
|
655 |
|
|
656 if (ts > 0 && ts_old > 0 && dv_old_orig_len > 0) |
|
4513
|
657 { |
|
5275
|
658 Array<octave_idx_type> ra_idx (dimensions.length (), 0); |
|
4747
|
659 |
|
4870
|
660 if (n > dv_old_orig_len) |
|
4747
|
661 { |
|
4870
|
662 dv_old.resize (n); |
|
|
663 |
|
5275
|
664 for (octave_idx_type i = dv_old_orig_len; i < n; i++) |
|
4870
|
665 dv_old.elem (i) = 1; |
|
|
666 } |
|
|
667 |
|
5275
|
668 for (octave_idx_type i = 0; i < ts; i++) |
|
4870
|
669 { |
|
|
670 if (index_in_bounds (ra_idx, dv_old)) |
|
|
671 rep->elem (i) = old_data[get_scalar_idx (ra_idx, dv_old)]; |
|
4747
|
672 |
|
|
673 increment_index (ra_idx, dimensions); |
|
|
674 } |
|
4513
|
675 } |
|
|
676 |
|
|
677 if (--old_rep->count <= 0) |
|
|
678 delete old_rep; |
|
|
679 } |
|
|
680 |
|
|
681 template <class T> |
|
|
682 void |
|
5275
|
683 Array<T>::resize_no_fill (octave_idx_type r, octave_idx_type c) |
|
4513
|
684 { |
|
|
685 if (r < 0 || c < 0) |
|
|
686 { |
|
|
687 (*current_liboctave_error_handler) |
|
|
688 ("can't resize to negative dimension"); |
|
|
689 return; |
|
|
690 } |
|
|
691 |
|
4548
|
692 int n = ndims (); |
|
|
693 |
|
|
694 if (n == 0) |
|
|
695 dimensions = dim_vector (0, 0); |
|
|
696 |
|
|
697 assert (ndims () == 2); |
|
|
698 |
|
4513
|
699 if (r == dim1 () && c == dim2 ()) |
|
|
700 return; |
|
|
701 |
|
|
702 typename Array<T>::ArrayRep *old_rep = Array<T>::rep; |
|
|
703 const T *old_data = data (); |
|
|
704 |
|
5275
|
705 octave_idx_type old_d1 = dim1 (); |
|
|
706 octave_idx_type old_d2 = dim2 (); |
|
|
707 octave_idx_type old_len = length (); |
|
|
708 |
|
|
709 octave_idx_type ts = get_size (r, c); |
|
4747
|
710 |
|
|
711 rep = new typename Array<T>::ArrayRep (ts); |
|
4513
|
712 |
|
|
713 dimensions = dim_vector (r, c); |
|
|
714 |
|
4747
|
715 if (ts > 0 && old_data && old_len > 0) |
|
4513
|
716 { |
|
5275
|
717 octave_idx_type min_r = old_d1 < r ? old_d1 : r; |
|
|
718 octave_idx_type min_c = old_d2 < c ? old_d2 : c; |
|
|
719 |
|
|
720 for (octave_idx_type j = 0; j < min_c; j++) |
|
|
721 for (octave_idx_type i = 0; i < min_r; i++) |
|
4513
|
722 xelem (i, j) = old_data[old_d1*j+i]; |
|
|
723 } |
|
|
724 |
|
|
725 if (--old_rep->count <= 0) |
|
|
726 delete old_rep; |
|
|
727 } |
|
|
728 |
|
|
729 template <class T> |
|
|
730 void |
|
5275
|
731 Array<T>::resize_no_fill (octave_idx_type r, octave_idx_type c, octave_idx_type p) |
|
4513
|
732 { |
|
|
733 if (r < 0 || c < 0 || p < 0) |
|
|
734 { |
|
|
735 (*current_liboctave_error_handler) |
|
|
736 ("can't resize to negative dimension"); |
|
|
737 return; |
|
|
738 } |
|
|
739 |
|
4548
|
740 int n = ndims (); |
|
|
741 |
|
|
742 if (n == 0) |
|
|
743 dimensions = dim_vector (0, 0, 0); |
|
|
744 |
|
|
745 assert (ndims () == 3); |
|
|
746 |
|
4513
|
747 if (r == dim1 () && c == dim2 () && p == dim3 ()) |
|
|
748 return; |
|
|
749 |
|
|
750 typename Array<T>::ArrayRep *old_rep = rep; |
|
|
751 const T *old_data = data (); |
|
|
752 |
|
5275
|
753 octave_idx_type old_d1 = dim1 (); |
|
|
754 octave_idx_type old_d2 = dim2 (); |
|
|
755 octave_idx_type old_d3 = dim3 (); |
|
|
756 octave_idx_type old_len = length (); |
|
|
757 |
|
|
758 octave_idx_type ts = get_size (get_size (r, c), p); |
|
4513
|
759 |
|
|
760 rep = new typename Array<T>::ArrayRep (ts); |
|
|
761 |
|
|
762 dimensions = dim_vector (r, c, p); |
|
|
763 |
|
4747
|
764 if (ts > 0 && old_data && old_len > 0) |
|
4513
|
765 { |
|
5275
|
766 octave_idx_type min_r = old_d1 < r ? old_d1 : r; |
|
|
767 octave_idx_type min_c = old_d2 < c ? old_d2 : c; |
|
|
768 octave_idx_type min_p = old_d3 < p ? old_d3 : p; |
|
|
769 |
|
|
770 for (octave_idx_type k = 0; k < min_p; k++) |
|
|
771 for (octave_idx_type j = 0; j < min_c; j++) |
|
|
772 for (octave_idx_type i = 0; i < min_r; i++) |
|
4513
|
773 xelem (i, j, k) = old_data[old_d1*(old_d2*k+j)+i]; |
|
|
774 } |
|
|
775 |
|
|
776 if (--old_rep->count <= 0) |
|
|
777 delete old_rep; |
|
|
778 } |
|
|
779 |
|
|
780 template <class T> |
|
|
781 void |
|
5275
|
782 Array<T>::resize_and_fill (octave_idx_type n, const T& val) |
|
4513
|
783 { |
|
|
784 if (n < 0) |
|
|
785 { |
|
|
786 (*current_liboctave_error_handler) |
|
|
787 ("can't resize to negative dimension"); |
|
|
788 return; |
|
|
789 } |
|
|
790 |
|
|
791 if (n == length ()) |
|
|
792 return; |
|
|
793 |
|
|
794 typename Array<T>::ArrayRep *old_rep = rep; |
|
|
795 const T *old_data = data (); |
|
5275
|
796 octave_idx_type old_len = length (); |
|
4513
|
797 |
|
|
798 rep = new typename Array<T>::ArrayRep (n); |
|
|
799 |
|
|
800 dimensions = dim_vector (n); |
|
|
801 |
|
4747
|
802 if (n > 0) |
|
4513
|
803 { |
|
5275
|
804 octave_idx_type min_len = old_len < n ? old_len : n; |
|
4747
|
805 |
|
|
806 if (old_data && old_len > 0) |
|
|
807 { |
|
5275
|
808 for (octave_idx_type i = 0; i < min_len; i++) |
|
4747
|
809 xelem (i) = old_data[i]; |
|
|
810 } |
|
|
811 |
|
5275
|
812 for (octave_idx_type i = old_len; i < n; i++) |
|
4747
|
813 xelem (i) = val; |
|
4513
|
814 } |
|
|
815 |
|
|
816 if (--old_rep->count <= 0) |
|
|
817 delete old_rep; |
|
|
818 } |
|
|
819 |
|
|
820 template <class T> |
|
|
821 void |
|
5275
|
822 Array<T>::resize_and_fill (octave_idx_type r, octave_idx_type c, const T& val) |
|
4513
|
823 { |
|
|
824 if (r < 0 || c < 0) |
|
|
825 { |
|
|
826 (*current_liboctave_error_handler) |
|
|
827 ("can't resize to negative dimension"); |
|
|
828 return; |
|
|
829 } |
|
|
830 |
|
4548
|
831 if (ndims () == 0) |
|
|
832 dimensions = dim_vector (0, 0); |
|
|
833 |
|
|
834 assert (ndims () == 2); |
|
|
835 |
|
4513
|
836 if (r == dim1 () && c == dim2 ()) |
|
|
837 return; |
|
|
838 |
|
|
839 typename Array<T>::ArrayRep *old_rep = Array<T>::rep; |
|
|
840 const T *old_data = data (); |
|
|
841 |
|
5275
|
842 octave_idx_type old_d1 = dim1 (); |
|
|
843 octave_idx_type old_d2 = dim2 (); |
|
|
844 octave_idx_type old_len = length (); |
|
|
845 |
|
|
846 octave_idx_type ts = get_size (r, c); |
|
4747
|
847 |
|
|
848 rep = new typename Array<T>::ArrayRep (ts); |
|
4513
|
849 |
|
|
850 dimensions = dim_vector (r, c); |
|
|
851 |
|
4747
|
852 if (ts > 0) |
|
4513
|
853 { |
|
5275
|
854 octave_idx_type min_r = old_d1 < r ? old_d1 : r; |
|
|
855 octave_idx_type min_c = old_d2 < c ? old_d2 : c; |
|
4747
|
856 |
|
|
857 if (old_data && old_len > 0) |
|
|
858 { |
|
5275
|
859 for (octave_idx_type j = 0; j < min_c; j++) |
|
|
860 for (octave_idx_type i = 0; i < min_r; i++) |
|
4747
|
861 xelem (i, j) = old_data[old_d1*j+i]; |
|
|
862 } |
|
|
863 |
|
5275
|
864 for (octave_idx_type j = 0; j < min_c; j++) |
|
|
865 for (octave_idx_type i = min_r; i < r; i++) |
|
4747
|
866 xelem (i, j) = val; |
|
|
867 |
|
5275
|
868 for (octave_idx_type j = min_c; j < c; j++) |
|
|
869 for (octave_idx_type i = 0; i < r; i++) |
|
4747
|
870 xelem (i, j) = val; |
|
4513
|
871 } |
|
|
872 |
|
|
873 if (--old_rep->count <= 0) |
|
|
874 delete old_rep; |
|
|
875 } |
|
|
876 |
|
|
877 template <class T> |
|
|
878 void |
|
5275
|
879 Array<T>::resize_and_fill (octave_idx_type r, octave_idx_type c, octave_idx_type p, const T& val) |
|
4513
|
880 { |
|
|
881 if (r < 0 || c < 0 || p < 0) |
|
|
882 { |
|
|
883 (*current_liboctave_error_handler) |
|
|
884 ("can't resize to negative dimension"); |
|
|
885 return; |
|
|
886 } |
|
|
887 |
|
4548
|
888 if (ndims () == 0) |
|
|
889 dimensions = dim_vector (0, 0, 0); |
|
|
890 |
|
|
891 assert (ndims () == 3); |
|
|
892 |
|
4513
|
893 if (r == dim1 () && c == dim2 () && p == dim3 ()) |
|
|
894 return; |
|
|
895 |
|
|
896 typename Array<T>::ArrayRep *old_rep = rep; |
|
|
897 const T *old_data = data (); |
|
|
898 |
|
5275
|
899 octave_idx_type old_d1 = dim1 (); |
|
|
900 octave_idx_type old_d2 = dim2 (); |
|
|
901 octave_idx_type old_d3 = dim3 (); |
|
|
902 |
|
|
903 octave_idx_type old_len = length (); |
|
|
904 |
|
|
905 octave_idx_type ts = get_size (get_size (r, c), p); |
|
4513
|
906 |
|
|
907 rep = new typename Array<T>::ArrayRep (ts); |
|
|
908 |
|
|
909 dimensions = dim_vector (r, c, p); |
|
|
910 |
|
4747
|
911 if (ts > 0) |
|
|
912 { |
|
5275
|
913 octave_idx_type min_r = old_d1 < r ? old_d1 : r; |
|
|
914 octave_idx_type min_c = old_d2 < c ? old_d2 : c; |
|
|
915 octave_idx_type min_p = old_d3 < p ? old_d3 : p; |
|
4747
|
916 |
|
|
917 if (old_data && old_len > 0) |
|
5275
|
918 for (octave_idx_type k = 0; k < min_p; k++) |
|
|
919 for (octave_idx_type j = 0; j < min_c; j++) |
|
|
920 for (octave_idx_type i = 0; i < min_r; i++) |
|
4747
|
921 xelem (i, j, k) = old_data[old_d1*(old_d2*k+j)+i]; |
|
|
922 |
|
5775
|
923 // FIXME -- if the copy constructor is expensive, this |
|
4747
|
924 // may win. Otherwise, it may make more sense to just copy the |
|
|
925 // value everywhere when making the new ArrayRep. |
|
|
926 |
|
5275
|
927 for (octave_idx_type k = 0; k < min_p; k++) |
|
|
928 for (octave_idx_type j = min_c; j < c; j++) |
|
|
929 for (octave_idx_type i = 0; i < min_r; i++) |
|
4747
|
930 xelem (i, j, k) = val; |
|
|
931 |
|
5275
|
932 for (octave_idx_type k = 0; k < min_p; k++) |
|
|
933 for (octave_idx_type j = 0; j < c; j++) |
|
|
934 for (octave_idx_type i = min_r; i < r; i++) |
|
4747
|
935 xelem (i, j, k) = val; |
|
|
936 |
|
5275
|
937 for (octave_idx_type k = min_p; k < p; k++) |
|
|
938 for (octave_idx_type j = 0; j < c; j++) |
|
|
939 for (octave_idx_type i = 0; i < r; i++) |
|
4747
|
940 xelem (i, j, k) = val; |
|
|
941 } |
|
4513
|
942 |
|
|
943 if (--old_rep->count <= 0) |
|
|
944 delete old_rep; |
|
|
945 } |
|
|
946 |
|
|
947 template <class T> |
|
|
948 void |
|
4587
|
949 Array<T>::resize_and_fill (const dim_vector& dv, const T& val) |
|
4513
|
950 { |
|
5275
|
951 octave_idx_type n = dv.length (); |
|
|
952 |
|
|
953 for (octave_idx_type i = 0; i < n; i++) |
|
4513
|
954 { |
|
4587
|
955 if (dv(i) < 0) |
|
4513
|
956 { |
|
|
957 (*current_liboctave_error_handler) |
|
|
958 ("can't resize to negative dimension"); |
|
|
959 return; |
|
|
960 } |
|
|
961 } |
|
|
962 |
|
4553
|
963 bool same_size = true; |
|
|
964 |
|
|
965 if (dimensions.length () != n) |
|
|
966 { |
|
|
967 same_size = false; |
|
|
968 } |
|
|
969 else |
|
4513
|
970 { |
|
5275
|
971 for (octave_idx_type i = 0; i < n; i++) |
|
4513
|
972 { |
|
4587
|
973 if (dv(i) != dimensions(i)) |
|
4553
|
974 { |
|
|
975 same_size = false; |
|
|
976 break; |
|
|
977 } |
|
4513
|
978 } |
|
|
979 } |
|
|
980 |
|
4553
|
981 if (same_size) |
|
4513
|
982 return; |
|
|
983 |
|
|
984 typename Array<T>::ArrayRep *old_rep = rep; |
|
|
985 const T *old_data = data (); |
|
|
986 |
|
5275
|
987 octave_idx_type len = get_size (dv); |
|
4709
|
988 |
|
4513
|
989 rep = new typename Array<T>::ArrayRep (len); |
|
|
990 |
|
4707
|
991 dim_vector dv_old = dimensions; |
|
5275
|
992 octave_idx_type dv_old_orig_len = dv_old.length (); |
|
4587
|
993 dimensions = dv; |
|
4513
|
994 |
|
4870
|
995 if (len > 0 && dv_old_orig_len > 0) |
|
4513
|
996 { |
|
5275
|
997 Array<octave_idx_type> ra_idx (dimensions.length (), 0); |
|
4870
|
998 |
|
|
999 if (n > dv_old_orig_len) |
|
|
1000 { |
|
|
1001 dv_old.resize (n); |
|
|
1002 |
|
5275
|
1003 for (octave_idx_type i = dv_old_orig_len; i < n; i++) |
|
4870
|
1004 dv_old.elem (i) = 1; |
|
|
1005 } |
|
4747
|
1006 |
|
5275
|
1007 for (octave_idx_type i = 0; i < len; i++) |
|
4747
|
1008 { |
|
|
1009 if (index_in_bounds (ra_idx, dv_old)) |
|
4870
|
1010 rep->elem (i) = old_data[get_scalar_idx (ra_idx, dv_old)]; |
|
|
1011 else |
|
|
1012 rep->elem (i) = val; |
|
|
1013 |
|
|
1014 increment_index (ra_idx, dimensions); |
|
4747
|
1015 } |
|
4513
|
1016 } |
|
4870
|
1017 else |
|
5275
|
1018 for (octave_idx_type i = 0; i < len; i++) |
|
4870
|
1019 rep->elem (i) = val; |
|
4513
|
1020 |
|
|
1021 if (--old_rep->count <= 0) |
|
|
1022 delete old_rep; |
|
|
1023 } |
|
|
1024 |
|
|
1025 template <class T> |
|
|
1026 Array<T>& |
|
5275
|
1027 Array<T>::insert (const Array<T>& a, octave_idx_type r, octave_idx_type c) |
|
4513
|
1028 { |
|
4786
|
1029 if (ndims () == 2 && a.ndims () == 2) |
|
|
1030 insert2 (a, r, c); |
|
|
1031 else |
|
|
1032 insertN (a, r, c); |
|
|
1033 |
|
|
1034 return *this; |
|
|
1035 } |
|
|
1036 |
|
|
1037 |
|
|
1038 template <class T> |
|
|
1039 Array<T>& |
|
5275
|
1040 Array<T>::insert2 (const Array<T>& a, octave_idx_type r, octave_idx_type c) |
|
4786
|
1041 { |
|
5275
|
1042 octave_idx_type a_rows = a.rows (); |
|
|
1043 octave_idx_type a_cols = a.cols (); |
|
4786
|
1044 |
|
|
1045 if (r < 0 || r + a_rows > rows () || c < 0 || c + a_cols > cols ()) |
|
|
1046 { |
|
|
1047 (*current_liboctave_error_handler) ("range error for insert"); |
|
|
1048 return *this; |
|
|
1049 } |
|
|
1050 |
|
5275
|
1051 for (octave_idx_type j = 0; j < a_cols; j++) |
|
|
1052 for (octave_idx_type i = 0; i < a_rows; i++) |
|
4786
|
1053 elem (r+i, c+j) = a.elem (i, j); |
|
|
1054 |
|
|
1055 return *this; |
|
|
1056 } |
|
|
1057 |
|
|
1058 template <class T> |
|
|
1059 Array<T>& |
|
5275
|
1060 Array<T>::insertN (const Array<T>& a, octave_idx_type r, octave_idx_type c) |
|
4786
|
1061 { |
|
4806
|
1062 dim_vector dv = dims (); |
|
|
1063 |
|
4765
|
1064 dim_vector a_dv = a.dims (); |
|
|
1065 |
|
|
1066 int n = a_dv.length (); |
|
|
1067 |
|
|
1068 if (n == dimensions.length ()) |
|
4513
|
1069 { |
|
5275
|
1070 Array<octave_idx_type> a_ra_idx (a_dv.length (), 0); |
|
4765
|
1071 |
|
|
1072 a_ra_idx.elem (0) = r; |
|
|
1073 a_ra_idx.elem (1) = c; |
|
|
1074 |
|
|
1075 for (int i = 0; i < n; i++) |
|
|
1076 { |
|
4806
|
1077 if (a_ra_idx(i) < 0 || (a_ra_idx(i) + a_dv(i)) > dv(i)) |
|
4765
|
1078 { |
|
|
1079 (*current_liboctave_error_handler) |
|
|
1080 ("Array<T>::insert: range error for insert"); |
|
|
1081 return *this; |
|
|
1082 } |
|
|
1083 } |
|
|
1084 |
|
5275
|
1085 octave_idx_type n_elt = a.numel (); |
|
4806
|
1086 |
|
|
1087 const T *a_data = a.data (); |
|
|
1088 |
|
5275
|
1089 octave_idx_type iidx = 0; |
|
4806
|
1090 |
|
5275
|
1091 octave_idx_type a_rows = a_dv(0); |
|
|
1092 |
|
|
1093 octave_idx_type this_rows = dv(0); |
|
4806
|
1094 |
|
5275
|
1095 octave_idx_type numel_page = a_dv(0) * a_dv(1); |
|
|
1096 |
|
|
1097 octave_idx_type count_pages = 0; |
|
4806
|
1098 |
|
5275
|
1099 for (octave_idx_type i = 0; i < n_elt; i++) |
|
4765
|
1100 { |
|
4806
|
1101 if (i != 0 && i % a_rows == 0) |
|
|
1102 iidx += (this_rows - a_rows); |
|
|
1103 |
|
|
1104 if (i % numel_page == 0) |
|
|
1105 iidx = c * dv(0) + r + dv(0) * dv(1) * count_pages++; |
|
|
1106 |
|
|
1107 elem (iidx++) = a_data[i]; |
|
4765
|
1108 } |
|
4513
|
1109 } |
|
4765
|
1110 else |
|
|
1111 (*current_liboctave_error_handler) |
|
|
1112 ("Array<T>::insert: invalid indexing operation"); |
|
4513
|
1113 |
|
|
1114 return *this; |
|
|
1115 } |
|
|
1116 |
|
|
1117 template <class T> |
|
|
1118 Array<T>& |
|
5275
|
1119 Array<T>::insert (const Array<T>& a, const Array<octave_idx_type>& ra_idx) |
|
4513
|
1120 { |
|
5275
|
1121 octave_idx_type n = ra_idx.length (); |
|
4513
|
1122 |
|
|
1123 if (n == dimensions.length ()) |
|
|
1124 { |
|
4915
|
1125 dim_vector dva = a.dims (); |
|
|
1126 dim_vector dv = dims (); |
|
|
1127 int len_a = dva.length (); |
|
5120
|
1128 int non_full_dim = 0; |
|
4513
|
1129 |
|
5275
|
1130 for (octave_idx_type i = 0; i < n; i++) |
|
4513
|
1131 { |
|
4915
|
1132 if (ra_idx(i) < 0 || (ra_idx(i) + |
|
|
1133 (i < len_a ? dva(i) : 1)) > dimensions(i)) |
|
4513
|
1134 { |
|
|
1135 (*current_liboctave_error_handler) |
|
|
1136 ("Array<T>::insert: range error for insert"); |
|
|
1137 return *this; |
|
|
1138 } |
|
5120
|
1139 |
|
|
1140 if (dv(i) != (i < len_a ? dva(i) : 1)) |
|
|
1141 non_full_dim++; |
|
4513
|
1142 } |
|
|
1143 |
|
4915
|
1144 if (dva.numel ()) |
|
|
1145 { |
|
5120
|
1146 if (non_full_dim < 2) |
|
4915
|
1147 { |
|
5120
|
1148 // Special case for fast concatenation |
|
|
1149 const T *a_data = a.data (); |
|
5275
|
1150 octave_idx_type numel_to_move = 1; |
|
|
1151 octave_idx_type skip = 0; |
|
5120
|
1152 for (int i = 0; i < len_a; i++) |
|
|
1153 if (ra_idx(i) == 0 && dva(i) == dv(i)) |
|
|
1154 numel_to_move *= dva(i); |
|
|
1155 else |
|
|
1156 { |
|
|
1157 skip = numel_to_move * (dv(i) - dva(i)); |
|
|
1158 numel_to_move *= dva(i); |
|
|
1159 break; |
|
|
1160 } |
|
|
1161 |
|
5275
|
1162 octave_idx_type jidx = ra_idx(n-1); |
|
5120
|
1163 for (int i = n-2; i >= 0; i--) |
|
|
1164 { |
|
|
1165 jidx *= dv(i); |
|
|
1166 jidx += ra_idx(i); |
|
|
1167 } |
|
|
1168 |
|
5275
|
1169 octave_idx_type iidx = 0; |
|
|
1170 octave_idx_type moves = dva.numel () / numel_to_move; |
|
|
1171 for (octave_idx_type i = 0; i < moves; i++) |
|
5120
|
1172 { |
|
5275
|
1173 for (octave_idx_type j = 0; j < numel_to_move; j++) |
|
5120
|
1174 elem (jidx++) = a_data[iidx++]; |
|
|
1175 jidx += skip; |
|
|
1176 } |
|
4915
|
1177 } |
|
5120
|
1178 else |
|
4915
|
1179 { |
|
5120
|
1180 // Generic code |
|
|
1181 const T *a_data = a.data (); |
|
|
1182 int nel = a.numel (); |
|
5275
|
1183 Array<octave_idx_type> a_idx (n, 0); |
|
5120
|
1184 |
|
|
1185 for (int i = 0; i < nel; i++) |
|
|
1186 { |
|
|
1187 int iidx = a_idx(n-1) + ra_idx(n-1); |
|
|
1188 for (int j = n-2; j >= 0; j--) |
|
|
1189 { |
|
|
1190 iidx *= dv(j); |
|
|
1191 iidx += a_idx(j) + ra_idx(j); |
|
|
1192 } |
|
|
1193 |
|
|
1194 elem (iidx) = a_data[i]; |
|
|
1195 |
|
|
1196 increment_index (a_idx, dva); |
|
|
1197 } |
|
4915
|
1198 } |
|
|
1199 } |
|
4513
|
1200 } |
|
|
1201 else |
|
|
1202 (*current_liboctave_error_handler) |
|
|
1203 ("Array<T>::insert: invalid indexing operation"); |
|
|
1204 |
|
|
1205 return *this; |
|
|
1206 } |
|
|
1207 |
|
|
1208 template <class T> |
|
|
1209 Array<T> |
|
|
1210 Array<T>::transpose (void) const |
|
|
1211 { |
|
4548
|
1212 assert (ndims () == 2); |
|
|
1213 |
|
5275
|
1214 octave_idx_type nr = dim1 (); |
|
|
1215 octave_idx_type nc = dim2 (); |
|
4513
|
1216 |
|
|
1217 if (nr > 1 && nc > 1) |
|
|
1218 { |
|
|
1219 Array<T> result (dim_vector (nc, nr)); |
|
|
1220 |
|
5275
|
1221 for (octave_idx_type j = 0; j < nc; j++) |
|
|
1222 for (octave_idx_type i = 0; i < nr; i++) |
|
4513
|
1223 result.xelem (j, i) = xelem (i, j); |
|
|
1224 |
|
|
1225 return result; |
|
|
1226 } |
|
|
1227 else |
|
|
1228 { |
|
|
1229 // Fast transpose for vectors and empty matrices |
|
|
1230 return Array<T> (*this, dim_vector (nc, nr)); |
|
|
1231 } |
|
|
1232 } |
|
|
1233 |
|
|
1234 template <class T> |
|
|
1235 T * |
|
|
1236 Array<T>::fortran_vec (void) |
|
|
1237 { |
|
|
1238 if (rep->count > 1) |
|
|
1239 { |
|
|
1240 --rep->count; |
|
|
1241 rep = new typename Array<T>::ArrayRep (*rep); |
|
|
1242 } |
|
|
1243 return rep->data; |
|
|
1244 } |
|
|
1245 |
|
|
1246 template <class T> |
|
3933
|
1247 void |
|
4517
|
1248 Array<T>::maybe_delete_dims (void) |
|
|
1249 { |
|
4587
|
1250 int nd = dimensions.length (); |
|
4517
|
1251 |
|
|
1252 dim_vector new_dims (1, 1); |
|
|
1253 |
|
|
1254 bool delete_dims = true; |
|
|
1255 |
|
4587
|
1256 for (int i = nd - 1; i >= 0; i--) |
|
4517
|
1257 { |
|
|
1258 if (delete_dims) |
|
|
1259 { |
|
|
1260 if (dimensions(i) != 1) |
|
|
1261 { |
|
|
1262 delete_dims = false; |
|
|
1263 |
|
|
1264 new_dims = dim_vector (i + 1, dimensions(i)); |
|
|
1265 } |
|
|
1266 } |
|
|
1267 else |
|
|
1268 new_dims(i) = dimensions(i); |
|
|
1269 } |
|
4530
|
1270 |
|
4587
|
1271 if (nd != new_dims.length ()) |
|
4517
|
1272 dimensions = new_dims; |
|
|
1273 } |
|
|
1274 |
|
|
1275 template <class T> |
|
|
1276 void |
|
|
1277 Array<T>::clear_index (void) |
|
|
1278 { |
|
|
1279 delete [] idx; |
|
|
1280 idx = 0; |
|
|
1281 idx_count = 0; |
|
|
1282 } |
|
|
1283 |
|
|
1284 template <class T> |
|
|
1285 void |
|
|
1286 Array<T>::set_index (const idx_vector& idx_arg) |
|
|
1287 { |
|
|
1288 int nd = ndims (); |
|
|
1289 |
|
|
1290 if (! idx && nd > 0) |
|
|
1291 idx = new idx_vector [nd]; |
|
|
1292 |
|
|
1293 if (idx_count < nd) |
|
|
1294 { |
|
|
1295 idx[idx_count++] = idx_arg; |
|
|
1296 } |
|
|
1297 else |
|
|
1298 { |
|
|
1299 idx_vector *new_idx = new idx_vector [idx_count+1]; |
|
|
1300 |
|
|
1301 for (int i = 0; i < idx_count; i++) |
|
|
1302 new_idx[i] = idx[i]; |
|
|
1303 |
|
|
1304 new_idx[idx_count++] = idx_arg; |
|
|
1305 |
|
|
1306 delete [] idx; |
|
|
1307 |
|
|
1308 idx = new_idx; |
|
|
1309 } |
|
|
1310 } |
|
|
1311 |
|
|
1312 template <class T> |
|
|
1313 void |
|
|
1314 Array<T>::maybe_delete_elements (idx_vector& idx_arg) |
|
|
1315 { |
|
|
1316 switch (ndims ()) |
|
|
1317 { |
|
|
1318 case 1: |
|
|
1319 maybe_delete_elements_1 (idx_arg); |
|
|
1320 break; |
|
|
1321 |
|
|
1322 case 2: |
|
|
1323 maybe_delete_elements_2 (idx_arg); |
|
|
1324 break; |
|
|
1325 |
|
|
1326 default: |
|
|
1327 (*current_liboctave_error_handler) |
|
|
1328 ("Array<T>::maybe_delete_elements: invalid operation"); |
|
|
1329 break; |
|
|
1330 } |
|
|
1331 } |
|
|
1332 |
|
|
1333 template <class T> |
|
|
1334 void |
|
|
1335 Array<T>::maybe_delete_elements_1 (idx_vector& idx_arg) |
|
|
1336 { |
|
5275
|
1337 octave_idx_type len = length (); |
|
4517
|
1338 |
|
|
1339 if (len == 0) |
|
|
1340 return; |
|
|
1341 |
|
|
1342 if (idx_arg.is_colon_equiv (len, 1)) |
|
|
1343 resize_no_fill (0); |
|
|
1344 else |
|
|
1345 { |
|
|
1346 int num_to_delete = idx_arg.length (len); |
|
|
1347 |
|
|
1348 if (num_to_delete != 0) |
|
|
1349 { |
|
5275
|
1350 octave_idx_type new_len = len; |
|
|
1351 |
|
|
1352 octave_idx_type iidx = 0; |
|
|
1353 |
|
|
1354 for (octave_idx_type i = 0; i < len; i++) |
|
4517
|
1355 if (i == idx_arg.elem (iidx)) |
|
|
1356 { |
|
|
1357 iidx++; |
|
|
1358 new_len--; |
|
|
1359 |
|
|
1360 if (iidx == num_to_delete) |
|
|
1361 break; |
|
|
1362 } |
|
|
1363 |
|
|
1364 if (new_len > 0) |
|
|
1365 { |
|
|
1366 T *new_data = new T [new_len]; |
|
|
1367 |
|
5275
|
1368 octave_idx_type ii = 0; |
|
4517
|
1369 iidx = 0; |
|
5275
|
1370 for (octave_idx_type i = 0; i < len; i++) |
|
4517
|
1371 { |
|
|
1372 if (iidx < num_to_delete && i == idx_arg.elem (iidx)) |
|
|
1373 iidx++; |
|
|
1374 else |
|
|
1375 { |
|
|
1376 new_data[ii] = elem (i); |
|
|
1377 ii++; |
|
|
1378 } |
|
|
1379 } |
|
|
1380 |
|
|
1381 if (--rep->count <= 0) |
|
|
1382 delete rep; |
|
|
1383 |
|
|
1384 rep = new typename Array<T>::ArrayRep (new_data, new_len); |
|
|
1385 |
|
|
1386 dimensions.resize (1); |
|
|
1387 dimensions(0) = new_len; |
|
|
1388 } |
|
|
1389 else |
|
|
1390 (*current_liboctave_error_handler) |
|
|
1391 ("A(idx) = []: index out of range"); |
|
|
1392 } |
|
|
1393 } |
|
|
1394 } |
|
|
1395 |
|
|
1396 template <class T> |
|
|
1397 void |
|
|
1398 Array<T>::maybe_delete_elements_2 (idx_vector& idx_arg) |
|
|
1399 { |
|
4548
|
1400 assert (ndims () == 2); |
|
|
1401 |
|
5275
|
1402 octave_idx_type nr = dim1 (); |
|
|
1403 octave_idx_type nc = dim2 (); |
|
4517
|
1404 |
|
5275
|
1405 octave_idx_type n; |
|
4517
|
1406 if (nr == 1) |
|
|
1407 n = nc; |
|
|
1408 else if (nc == 1) |
|
|
1409 n = nr; |
|
|
1410 else |
|
|
1411 { |
|
4756
|
1412 // Reshape to row vector for Matlab compatibility. |
|
|
1413 |
|
|
1414 n = nr * nc; |
|
|
1415 nr = 1; |
|
|
1416 nc = n; |
|
4517
|
1417 } |
|
|
1418 |
|
6525
|
1419 if (nr > 0 && nc > 0 && idx_arg.is_colon_equiv (n, 1)) |
|
4517
|
1420 { |
|
|
1421 // Either A(:) = [] or A(idx) = [] with idx enumerating all |
|
|
1422 // elements, so we delete all elements and return [](0x0). To |
|
|
1423 // preserve the orientation of the vector, you have to use |
|
|
1424 // A(idx,:) = [] (delete rows) or A(:,idx) (delete columns). |
|
|
1425 |
|
|
1426 resize_no_fill (0, 0); |
|
|
1427 return; |
|
|
1428 } |
|
|
1429 |
|
|
1430 idx_arg.sort (true); |
|
|
1431 |
|
5275
|
1432 octave_idx_type num_to_delete = idx_arg.length (n); |
|
4517
|
1433 |
|
|
1434 if (num_to_delete != 0) |
|
|
1435 { |
|
5275
|
1436 octave_idx_type new_n = n; |
|
|
1437 |
|
|
1438 octave_idx_type iidx = 0; |
|
|
1439 |
|
|
1440 for (octave_idx_type i = 0; i < n; i++) |
|
4517
|
1441 if (i == idx_arg.elem (iidx)) |
|
|
1442 { |
|
|
1443 iidx++; |
|
|
1444 new_n--; |
|
|
1445 |
|
|
1446 if (iidx == num_to_delete) |
|
|
1447 break; |
|
|
1448 } |
|
|
1449 |
|
|
1450 if (new_n > 0) |
|
|
1451 { |
|
|
1452 T *new_data = new T [new_n]; |
|
|
1453 |
|
5275
|
1454 octave_idx_type ii = 0; |
|
4517
|
1455 iidx = 0; |
|
5275
|
1456 for (octave_idx_type i = 0; i < n; i++) |
|
4517
|
1457 { |
|
|
1458 if (iidx < num_to_delete && i == idx_arg.elem (iidx)) |
|
|
1459 iidx++; |
|
|
1460 else |
|
|
1461 { |
|
4756
|
1462 new_data[ii] = elem (i); |
|
4517
|
1463 |
|
|
1464 ii++; |
|
|
1465 } |
|
|
1466 } |
|
|
1467 |
|
|
1468 if (--(Array<T>::rep)->count <= 0) |
|
|
1469 delete Array<T>::rep; |
|
|
1470 |
|
|
1471 Array<T>::rep = new typename Array<T>::ArrayRep (new_data, new_n); |
|
|
1472 |
|
|
1473 dimensions.resize (2); |
|
|
1474 |
|
|
1475 if (nr == 1) |
|
|
1476 { |
|
|
1477 dimensions(0) = 1; |
|
|
1478 dimensions(1) = new_n; |
|
|
1479 } |
|
|
1480 else |
|
|
1481 { |
|
|
1482 dimensions(0) = new_n; |
|
|
1483 dimensions(1) = 1; |
|
|
1484 } |
|
|
1485 } |
|
|
1486 else |
|
|
1487 (*current_liboctave_error_handler) |
|
|
1488 ("A(idx) = []: index out of range"); |
|
|
1489 } |
|
|
1490 } |
|
|
1491 |
|
|
1492 template <class T> |
|
|
1493 void |
|
|
1494 Array<T>::maybe_delete_elements (idx_vector& idx_i, idx_vector& idx_j) |
|
|
1495 { |
|
4548
|
1496 assert (ndims () == 2); |
|
|
1497 |
|
5275
|
1498 octave_idx_type nr = dim1 (); |
|
|
1499 octave_idx_type nc = dim2 (); |
|
4517
|
1500 |
|
|
1501 if (nr == 0 && nc == 0) |
|
|
1502 return; |
|
|
1503 |
|
|
1504 if (idx_i.is_colon ()) |
|
|
1505 { |
|
|
1506 if (idx_j.is_colon ()) |
|
|
1507 { |
|
|
1508 // A(:,:) -- We are deleting columns and rows, so the result |
|
|
1509 // is [](0x0). |
|
|
1510 |
|
|
1511 resize_no_fill (0, 0); |
|
|
1512 return; |
|
|
1513 } |
|
|
1514 |
|
|
1515 if (idx_j.is_colon_equiv (nc, 1)) |
|
|
1516 { |
|
|
1517 // A(:,j) -- We are deleting columns by enumerating them, |
|
|
1518 // If we enumerate all of them, we should have zero columns |
|
|
1519 // with the same number of rows that we started with. |
|
|
1520 |
|
|
1521 resize_no_fill (nr, 0); |
|
|
1522 return; |
|
|
1523 } |
|
|
1524 } |
|
|
1525 |
|
|
1526 if (idx_j.is_colon () && idx_i.is_colon_equiv (nr, 1)) |
|
|
1527 { |
|
|
1528 // A(i,:) -- We are deleting rows by enumerating them. If we |
|
|
1529 // enumerate all of them, we should have zero rows with the |
|
|
1530 // same number of columns that we started with. |
|
|
1531 |
|
|
1532 resize_no_fill (0, nc); |
|
|
1533 return; |
|
|
1534 } |
|
|
1535 |
|
|
1536 if (idx_i.is_colon_equiv (nr, 1)) |
|
|
1537 { |
|
|
1538 if (idx_j.is_colon_equiv (nc, 1)) |
|
|
1539 resize_no_fill (0, 0); |
|
|
1540 else |
|
|
1541 { |
|
|
1542 idx_j.sort (true); |
|
|
1543 |
|
5275
|
1544 octave_idx_type num_to_delete = idx_j.length (nc); |
|
4517
|
1545 |
|
|
1546 if (num_to_delete != 0) |
|
|
1547 { |
|
|
1548 if (nr == 1 && num_to_delete == nc) |
|
|
1549 resize_no_fill (0, 0); |
|
|
1550 else |
|
|
1551 { |
|
5275
|
1552 octave_idx_type new_nc = nc; |
|
|
1553 |
|
|
1554 octave_idx_type iidx = 0; |
|
|
1555 |
|
|
1556 for (octave_idx_type j = 0; j < nc; j++) |
|
4517
|
1557 if (j == idx_j.elem (iidx)) |
|
|
1558 { |
|
|
1559 iidx++; |
|
|
1560 new_nc--; |
|
|
1561 |
|
|
1562 if (iidx == num_to_delete) |
|
|
1563 break; |
|
|
1564 } |
|
|
1565 |
|
|
1566 if (new_nc > 0) |
|
|
1567 { |
|
|
1568 T *new_data = new T [nr * new_nc]; |
|
|
1569 |
|
5275
|
1570 octave_idx_type jj = 0; |
|
4517
|
1571 iidx = 0; |
|
5275
|
1572 for (octave_idx_type j = 0; j < nc; j++) |
|
4517
|
1573 { |
|
|
1574 if (iidx < num_to_delete && j == idx_j.elem (iidx)) |
|
|
1575 iidx++; |
|
|
1576 else |
|
|
1577 { |
|
5275
|
1578 for (octave_idx_type i = 0; i < nr; i++) |
|
4517
|
1579 new_data[nr*jj+i] = elem (i, j); |
|
|
1580 jj++; |
|
|
1581 } |
|
|
1582 } |
|
|
1583 |
|
|
1584 if (--(Array<T>::rep)->count <= 0) |
|
|
1585 delete Array<T>::rep; |
|
|
1586 |
|
|
1587 Array<T>::rep = new typename Array<T>::ArrayRep (new_data, nr * new_nc); |
|
|
1588 |
|
|
1589 dimensions.resize (2); |
|
|
1590 dimensions(1) = new_nc; |
|
|
1591 } |
|
|
1592 else |
|
|
1593 (*current_liboctave_error_handler) |
|
|
1594 ("A(idx) = []: index out of range"); |
|
|
1595 } |
|
|
1596 } |
|
|
1597 } |
|
|
1598 } |
|
|
1599 else if (idx_j.is_colon_equiv (nc, 1)) |
|
|
1600 { |
|
|
1601 if (idx_i.is_colon_equiv (nr, 1)) |
|
|
1602 resize_no_fill (0, 0); |
|
|
1603 else |
|
|
1604 { |
|
|
1605 idx_i.sort (true); |
|
|
1606 |
|
5275
|
1607 octave_idx_type num_to_delete = idx_i.length (nr); |
|
4517
|
1608 |
|
|
1609 if (num_to_delete != 0) |
|
|
1610 { |
|
|
1611 if (nc == 1 && num_to_delete == nr) |
|
|
1612 resize_no_fill (0, 0); |
|
|
1613 else |
|
|
1614 { |
|
5275
|
1615 octave_idx_type new_nr = nr; |
|
|
1616 |
|
|
1617 octave_idx_type iidx = 0; |
|
|
1618 |
|
|
1619 for (octave_idx_type i = 0; i < nr; i++) |
|
4517
|
1620 if (i == idx_i.elem (iidx)) |
|
|
1621 { |
|
|
1622 iidx++; |
|
|
1623 new_nr--; |
|
|
1624 |
|
|
1625 if (iidx == num_to_delete) |
|
|
1626 break; |
|
|
1627 } |
|
|
1628 |
|
|
1629 if (new_nr > 0) |
|
|
1630 { |
|
|
1631 T *new_data = new T [new_nr * nc]; |
|
|
1632 |
|
5275
|
1633 octave_idx_type ii = 0; |
|
4517
|
1634 iidx = 0; |
|
5275
|
1635 for (octave_idx_type i = 0; i < nr; i++) |
|
4517
|
1636 { |
|
|
1637 if (iidx < num_to_delete && i == idx_i.elem (iidx)) |
|
|
1638 iidx++; |
|
|
1639 else |
|
|
1640 { |
|
5275
|
1641 for (octave_idx_type j = 0; j < nc; j++) |
|
4517
|
1642 new_data[new_nr*j+ii] = elem (i, j); |
|
|
1643 ii++; |
|
|
1644 } |
|
|
1645 } |
|
|
1646 |
|
|
1647 if (--(Array<T>::rep)->count <= 0) |
|
|
1648 delete Array<T>::rep; |
|
|
1649 |
|
|
1650 Array<T>::rep = new typename Array<T>::ArrayRep (new_data, new_nr * nc); |
|
|
1651 |
|
|
1652 dimensions.resize (2); |
|
|
1653 dimensions(0) = new_nr; |
|
|
1654 } |
|
|
1655 else |
|
|
1656 (*current_liboctave_error_handler) |
|
|
1657 ("A(idx) = []: index out of range"); |
|
|
1658 } |
|
|
1659 } |
|
|
1660 } |
|
|
1661 } |
|
|
1662 } |
|
|
1663 |
|
|
1664 template <class T> |
|
|
1665 void |
|
|
1666 Array<T>::maybe_delete_elements (idx_vector&, idx_vector&, idx_vector&) |
|
|
1667 { |
|
|
1668 assert (0); |
|
|
1669 } |
|
|
1670 |
|
|
1671 template <class T> |
|
|
1672 void |
|
4585
|
1673 Array<T>::maybe_delete_elements (Array<idx_vector>& ra_idx, const T& rfv) |
|
4517
|
1674 { |
|
5275
|
1675 octave_idx_type n_idx = ra_idx.length (); |
|
4517
|
1676 |
|
|
1677 dim_vector lhs_dims = dims (); |
|
|
1678 |
|
6388
|
1679 int n_lhs_dims = lhs_dims.length (); |
|
|
1680 |
|
4821
|
1681 if (lhs_dims.all_zero ()) |
|
|
1682 return; |
|
|
1683 |
|
6384
|
1684 if (n_idx == 1 && ra_idx(0).is_colon ()) |
|
|
1685 { |
|
|
1686 resize (dim_vector (0, 0), rfv); |
|
|
1687 return; |
|
|
1688 } |
|
|
1689 |
|
6388
|
1690 if (n_idx > n_lhs_dims) |
|
|
1691 { |
|
|
1692 for (int i = n_idx; i < n_lhs_dims; i++) |
|
|
1693 { |
|
|
1694 // Ensure that extra indices are either colon or 1. |
|
|
1695 |
|
|
1696 if (! ra_idx(i).is_colon_equiv (1, 1)) |
|
|
1697 { |
|
|
1698 (*current_liboctave_error_handler) |
|
|
1699 ("index exceeds array dimensions"); |
|
|
1700 return; |
|
|
1701 } |
|
|
1702 } |
|
|
1703 |
|
|
1704 ra_idx.resize (n_lhs_dims); |
|
|
1705 |
|
|
1706 n_idx = n_lhs_dims; |
|
|
1707 } |
|
4757
|
1708 |
|
4740
|
1709 Array<int> idx_is_colon (n_idx, 0); |
|
|
1710 |
|
|
1711 Array<int> idx_is_colon_equiv (n_idx, 0); |
|
4517
|
1712 |
|
|
1713 // Initialization of colon arrays. |
|
4757
|
1714 |
|
5275
|
1715 for (octave_idx_type i = 0; i < n_idx; i++) |
|
4517
|
1716 { |
|
4585
|
1717 idx_is_colon_equiv(i) = ra_idx(i).is_colon_equiv (lhs_dims(i), 1); |
|
|
1718 |
|
|
1719 idx_is_colon(i) = ra_idx(i).is_colon (); |
|
4517
|
1720 } |
|
|
1721 |
|
4755
|
1722 bool idx_ok = true; |
|
|
1723 |
|
|
1724 // Check for index out of bounds. |
|
|
1725 |
|
5275
|
1726 for (octave_idx_type i = 0 ; i < n_idx - 1; i++) |
|
4517
|
1727 { |
|
4755
|
1728 if (! (idx_is_colon(i) || idx_is_colon_equiv(i))) |
|
|
1729 { |
|
|
1730 ra_idx(i).sort (true); |
|
4757
|
1731 |
|
4755
|
1732 if (ra_idx(i).max () > lhs_dims(i)) |
|
|
1733 { |
|
|
1734 (*current_liboctave_error_handler) |
|
|
1735 ("index exceeds array dimensions"); |
|
4757
|
1736 |
|
4755
|
1737 idx_ok = false; |
|
|
1738 break; |
|
|
1739 } |
|
|
1740 else if (ra_idx(i).min () < 0) // I believe this is checked elsewhere |
|
|
1741 { |
|
|
1742 (*current_liboctave_error_handler) |
|
|
1743 ("index must be one or larger"); |
|
|
1744 |
|
|
1745 idx_ok = false; |
|
|
1746 break; |
|
|
1747 } |
|
|
1748 } |
|
4517
|
1749 } |
|
4757
|
1750 |
|
4755
|
1751 if (n_idx <= n_lhs_dims) |
|
4517
|
1752 { |
|
5275
|
1753 octave_idx_type last_idx = ra_idx(n_idx-1).max (); |
|
|
1754 |
|
|
1755 octave_idx_type sum_el = lhs_dims(n_idx-1); |
|
|
1756 |
|
|
1757 for (octave_idx_type i = n_idx; i < n_lhs_dims; i++) |
|
4755
|
1758 sum_el *= lhs_dims(i); |
|
|
1759 |
|
|
1760 if (last_idx > sum_el - 1) |
|
|
1761 { |
|
|
1762 (*current_liboctave_error_handler) |
|
|
1763 ("index exceeds array dimensions"); |
|
|
1764 |
|
|
1765 idx_ok = false; |
|
|
1766 } |
|
4757
|
1767 } |
|
4755
|
1768 |
|
|
1769 if (idx_ok) |
|
|
1770 { |
|
|
1771 if (n_idx > 1 |
|
|
1772 && (all_ones (idx_is_colon) || all_ones (idx_is_colon_equiv))) |
|
4517
|
1773 { |
|
4755
|
1774 // A(:,:,:) -- we are deleting elements in all dimensions, so |
|
|
1775 // the result is [](0x0x0). |
|
|
1776 |
|
|
1777 dim_vector zeros; |
|
|
1778 zeros.resize (n_idx); |
|
|
1779 |
|
|
1780 for (int i = 0; i < n_idx; i++) |
|
|
1781 zeros(i) = 0; |
|
|
1782 |
|
|
1783 resize (zeros, rfv); |
|
4517
|
1784 } |
|
|
1785 |
|
4755
|
1786 else if (n_idx > 1 |
|
|
1787 && num_ones (idx_is_colon) == n_idx - 1 |
|
|
1788 && num_ones (idx_is_colon_equiv) == n_idx) |
|
|
1789 { |
|
|
1790 // A(:,:,j) -- we are deleting elements in one dimension by |
|
|
1791 // enumerating them. |
|
|
1792 // |
|
|
1793 // If we enumerate all of the elements, we should have zero |
|
|
1794 // elements in that dimension with the same number of elements |
|
|
1795 // in the other dimensions that we started with. |
|
|
1796 |
|
|
1797 dim_vector temp_dims; |
|
|
1798 temp_dims.resize (n_idx); |
|
|
1799 |
|
5275
|
1800 for (octave_idx_type i = 0; i < n_idx; i++) |
|
4755
|
1801 { |
|
|
1802 if (idx_is_colon (i)) |
|
|
1803 temp_dims(i) = lhs_dims(i); |
|
|
1804 else |
|
|
1805 temp_dims(i) = 0; |
|
|
1806 } |
|
|
1807 |
|
|
1808 resize (temp_dims); |
|
|
1809 } |
|
|
1810 else if (n_idx > 1 && num_ones (idx_is_colon) == n_idx - 1) |
|
4741
|
1811 { |
|
4755
|
1812 // We have colons in all indices except for one. |
|
|
1813 // This index tells us which slice to delete |
|
|
1814 |
|
|
1815 if (n_idx < n_lhs_dims) |
|
|
1816 { |
|
|
1817 // Collapse dimensions beyond last index. |
|
|
1818 |
|
5781
|
1819 if (! (ra_idx(n_idx-1).is_colon ())) |
|
|
1820 (*current_liboctave_warning_with_id_handler) |
|
|
1821 ("Octave:fortran-indexing", |
|
|
1822 "fewer indices than dimensions for N-d array"); |
|
4755
|
1823 |
|
5275
|
1824 for (octave_idx_type i = n_idx; i < n_lhs_dims; i++) |
|
4755
|
1825 lhs_dims(n_idx-1) *= lhs_dims(i); |
|
|
1826 |
|
|
1827 lhs_dims.resize (n_idx); |
|
|
1828 |
|
|
1829 // Reshape *this. |
|
|
1830 dimensions = lhs_dims; |
|
|
1831 } |
|
|
1832 |
|
|
1833 int non_col = 0; |
|
|
1834 |
|
|
1835 // Find the non-colon column. |
|
|
1836 |
|
5275
|
1837 for (octave_idx_type i = 0; i < n_idx; i++) |
|
4755
|
1838 { |
|
|
1839 if (! idx_is_colon(i)) |
|
|
1840 non_col = i; |
|
|
1841 } |
|
|
1842 |
|
|
1843 // The length of the non-colon dimension. |
|
|
1844 |
|
5275
|
1845 octave_idx_type non_col_dim = lhs_dims (non_col); |
|
|
1846 |
|
|
1847 octave_idx_type num_to_delete = ra_idx(non_col).length (lhs_dims (non_col)); |
|
4755
|
1848 |
|
|
1849 if (num_to_delete > 0) |
|
|
1850 { |
|
|
1851 int temp = lhs_dims.num_ones (); |
|
|
1852 |
|
|
1853 if (non_col_dim == 1) |
|
|
1854 temp--; |
|
|
1855 |
|
|
1856 if (temp == n_idx - 1 && num_to_delete == non_col_dim) |
|
|
1857 { |
|
|
1858 // We have A with (1x1x4), where A(1,:,1:4) |
|
|
1859 // Delete all (0x0x0) |
|
|
1860 |
|
|
1861 dim_vector zero_dims (n_idx, 0); |
|
|
1862 |
|
|
1863 resize (zero_dims, rfv); |
|
|
1864 } |
|
|
1865 else |
|
|
1866 { |
|
|
1867 // New length of non-colon dimension |
|
|
1868 // (calculated in the next for loop) |
|
|
1869 |
|
5275
|
1870 octave_idx_type new_dim = non_col_dim; |
|
|
1871 |
|
|
1872 octave_idx_type iidx = 0; |
|
|
1873 |
|
|
1874 for (octave_idx_type j = 0; j < non_col_dim; j++) |
|
4755
|
1875 if (j == ra_idx(non_col).elem (iidx)) |
|
|
1876 { |
|
|
1877 iidx++; |
|
|
1878 |
|
|
1879 new_dim--; |
|
|
1880 |
|
|
1881 if (iidx == num_to_delete) |
|
|
1882 break; |
|
|
1883 } |
|
|
1884 |
|
|
1885 // Creating the new nd array after deletions. |
|
|
1886 |
|
|
1887 if (new_dim > 0) |
|
|
1888 { |
|
|
1889 // Calculate number of elements in new array. |
|
|
1890 |
|
5275
|
1891 octave_idx_type num_new_elem=1; |
|
4755
|
1892 |
|
|
1893 for (int i = 0; i < n_idx; i++) |
|
|
1894 { |
|
|
1895 if (i == non_col) |
|
|
1896 num_new_elem *= new_dim; |
|
|
1897 |
|
|
1898 else |
|
|
1899 num_new_elem *= lhs_dims(i); |
|
|
1900 } |
|
|
1901 |
|
|
1902 T *new_data = new T [num_new_elem]; |
|
|
1903 |
|
5275
|
1904 Array<octave_idx_type> result_idx (n_lhs_dims, 0); |
|
4755
|
1905 |
|
|
1906 dim_vector new_lhs_dim = lhs_dims; |
|
|
1907 |
|
|
1908 new_lhs_dim(non_col) = new_dim; |
|
|
1909 |
|
5275
|
1910 octave_idx_type num_elem = 1; |
|
|
1911 |
|
|
1912 octave_idx_type numidx = 0; |
|
|
1913 |
|
|
1914 octave_idx_type n = length (); |
|
4755
|
1915 |
|
|
1916 for (int i = 0; i < n_lhs_dims; i++) |
|
|
1917 if (i != non_col) |
|
|
1918 num_elem *= lhs_dims(i); |
|
|
1919 |
|
|
1920 num_elem *= ra_idx(non_col).capacity (); |
|
|
1921 |
|
5275
|
1922 for (octave_idx_type i = 0; i < n; i++) |
|
4755
|
1923 { |
|
|
1924 if (numidx < num_elem |
|
|
1925 && is_in (result_idx(non_col), ra_idx(non_col))) |
|
|
1926 numidx++; |
|
|
1927 |
|
|
1928 else |
|
|
1929 { |
|
5275
|
1930 Array<octave_idx_type> temp_result_idx = result_idx; |
|
|
1931 |
|
|
1932 octave_idx_type num_lgt = how_many_lgt (result_idx(non_col), |
|
4755
|
1933 ra_idx(non_col)); |
|
|
1934 |
|
|
1935 temp_result_idx(non_col) -= num_lgt; |
|
|
1936 |
|
5275
|
1937 octave_idx_type kidx |
|
4755
|
1938 = ::compute_index (temp_result_idx, new_lhs_dim); |
|
|
1939 |
|
|
1940 new_data[kidx] = elem (result_idx); |
|
|
1941 } |
|
|
1942 |
|
|
1943 increment_index (result_idx, lhs_dims); |
|
|
1944 } |
|
|
1945 |
|
|
1946 if (--rep->count <= 0) |
|
|
1947 delete rep; |
|
|
1948 |
|
|
1949 rep = new typename Array<T>::ArrayRep (new_data, |
|
|
1950 num_new_elem); |
|
|
1951 |
|
|
1952 dimensions = new_lhs_dim; |
|
|
1953 } |
|
|
1954 } |
|
|
1955 } |
|
4517
|
1956 } |
|
4755
|
1957 else if (n_idx == 1) |
|
4517
|
1958 { |
|
4821
|
1959 // This handle cases where we only have one index (not |
|
|
1960 // colon). The index denotes which elements we should |
|
|
1961 // delete in the array which can be of any dimension. We |
|
|
1962 // return a column vector, except for the case where we are |
|
|
1963 // operating on a row vector. The elements are numerated |
|
|
1964 // column by column. |
|
4755
|
1965 // |
|
|
1966 // A(3,3,3)=2; |
|
|
1967 // A(3:5) = []; A(6)=[] |
|
4757
|
1968 |
|
5275
|
1969 octave_idx_type lhs_numel = numel (); |
|
4757
|
1970 |
|
4821
|
1971 idx_vector idx_vec = ra_idx(0); |
|
|
1972 |
|
5781
|
1973 idx_vec.freeze (lhs_numel, 0, true); |
|
4821
|
1974 |
|
|
1975 idx_vec.sort (true); |
|
|
1976 |
|
5275
|
1977 octave_idx_type num_to_delete = idx_vec.length (lhs_numel); |
|
4821
|
1978 |
|
|
1979 if (num_to_delete > 0) |
|
4517
|
1980 { |
|
5275
|
1981 octave_idx_type new_numel = lhs_numel - num_to_delete; |
|
4821
|
1982 |
|
|
1983 T *new_data = new T[new_numel]; |
|
|
1984 |
|
5275
|
1985 Array<octave_idx_type> lhs_ra_idx (ndims (), 0); |
|
|
1986 |
|
|
1987 octave_idx_type ii = 0; |
|
|
1988 octave_idx_type iidx = 0; |
|
|
1989 |
|
|
1990 for (octave_idx_type i = 0; i < lhs_numel; i++) |
|
4755
|
1991 { |
|
4821
|
1992 if (iidx < num_to_delete && i == idx_vec.elem (iidx)) |
|
|
1993 { |
|
|
1994 iidx++; |
|
|
1995 } |
|
|
1996 else |
|
|
1997 { |
|
|
1998 new_data[ii++] = elem (lhs_ra_idx); |
|
|
1999 } |
|
|
2000 |
|
|
2001 increment_index (lhs_ra_idx, lhs_dims); |
|
|
2002 } |
|
|
2003 |
|
|
2004 if (--(Array<T>::rep)->count <= 0) |
|
|
2005 delete Array<T>::rep; |
|
|
2006 |
|
|
2007 Array<T>::rep = new typename Array<T>::ArrayRep (new_data, new_numel); |
|
|
2008 |
|
|
2009 dimensions.resize (2); |
|
|
2010 |
|
|
2011 if (lhs_dims.length () == 2 && lhs_dims(1) == 1) |
|
|
2012 { |
|
|
2013 dimensions(0) = new_numel; |
|
|
2014 dimensions(1) = 1; |
|
4755
|
2015 } |
|
|
2016 else |
|
|
2017 { |
|
4821
|
2018 dimensions(0) = 1; |
|
|
2019 dimensions(1) = new_numel; |
|
4755
|
2020 } |
|
4517
|
2021 } |
|
|
2022 } |
|
4755
|
2023 else if (num_ones (idx_is_colon) < n_idx) |
|
|
2024 { |
|
|
2025 (*current_liboctave_error_handler) |
|
|
2026 ("a null assignment can have only one non-colon index"); |
|
|
2027 } |
|
4517
|
2028 } |
|
|
2029 } |
|
|
2030 |
|
|
2031 template <class T> |
|
|
2032 Array<T> |
|
|
2033 Array<T>::value (void) |
|
|
2034 { |
|
|
2035 Array<T> retval; |
|
|
2036 |
|
|
2037 int n_idx = index_count (); |
|
|
2038 |
|
|
2039 if (n_idx == 2) |
|
|
2040 { |
|
|
2041 idx_vector *tmp = get_idx (); |
|
|
2042 |
|
|
2043 idx_vector idx_i = tmp[0]; |
|
|
2044 idx_vector idx_j = tmp[1]; |
|
|
2045 |
|
|
2046 retval = index (idx_i, idx_j); |
|
|
2047 } |
|
|
2048 else if (n_idx == 1) |
|
|
2049 { |
|
|
2050 retval = index (idx[0]); |
|
|
2051 } |
|
|
2052 else |
|
|
2053 (*current_liboctave_error_handler) |
|
|
2054 ("Array<T>::value: invalid number of indices specified"); |
|
|
2055 |
|
|
2056 clear_index (); |
|
|
2057 |
|
|
2058 return retval; |
|
|
2059 } |
|
|
2060 |
|
|
2061 template <class T> |
|
|
2062 Array<T> |
|
|
2063 Array<T>::index (idx_vector& idx_arg, int resize_ok, const T& rfv) const |
|
|
2064 { |
|
|
2065 Array<T> retval; |
|
|
2066 |
|
5081
|
2067 dim_vector dv = idx_arg.orig_dimensions (); |
|
|
2068 |
|
|
2069 if (dv.length () > 2 || ndims () > 2) |
|
|
2070 retval = indexN (idx_arg, resize_ok, rfv); |
|
|
2071 else |
|
4517
|
2072 { |
|
5081
|
2073 switch (ndims ()) |
|
|
2074 { |
|
|
2075 case 1: |
|
|
2076 retval = index1 (idx_arg, resize_ok, rfv); |
|
|
2077 break; |
|
|
2078 |
|
|
2079 case 2: |
|
|
2080 retval = index2 (idx_arg, resize_ok, rfv); |
|
|
2081 break; |
|
|
2082 |
|
|
2083 default: |
|
|
2084 (*current_liboctave_error_handler) |
|
|
2085 ("invalid array (internal error)"); |
|
|
2086 break; |
|
|
2087 } |
|
4517
|
2088 } |
|
|
2089 |
|
|
2090 return retval; |
|
|
2091 } |
|
|
2092 |
|
|
2093 template <class T> |
|
|
2094 Array<T> |
|
|
2095 Array<T>::index1 (idx_vector& idx_arg, int resize_ok, const T& rfv) const |
|
|
2096 { |
|
|
2097 Array<T> retval; |
|
|
2098 |
|
5275
|
2099 octave_idx_type len = length (); |
|
|
2100 |
|
|
2101 octave_idx_type n = idx_arg.freeze (len, "vector", resize_ok); |
|
4517
|
2102 |
|
|
2103 if (idx_arg) |
|
|
2104 { |
|
|
2105 if (idx_arg.is_colon_equiv (len)) |
|
|
2106 { |
|
|
2107 retval = *this; |
|
|
2108 } |
|
|
2109 else if (n == 0) |
|
|
2110 { |
|
|
2111 retval.resize_no_fill (0); |
|
|
2112 } |
|
|
2113 else if (len == 1 && n > 1 |
|
|
2114 && idx_arg.one_zero_only () |
|
|
2115 && idx_arg.ones_count () == n) |
|
|
2116 { |
|
4548
|
2117 retval.resize_and_fill (n, elem (0)); |
|
4517
|
2118 } |
|
|
2119 else |
|
|
2120 { |
|
|
2121 retval.resize_no_fill (n); |
|
|
2122 |
|
5275
|
2123 for (octave_idx_type i = 0; i < n; i++) |
|
4517
|
2124 { |
|
5275
|
2125 octave_idx_type ii = idx_arg.elem (i); |
|
4517
|
2126 if (ii >= len) |
|
|
2127 retval.elem (i) = rfv; |
|
|
2128 else |
|
|
2129 retval.elem (i) = elem (ii); |
|
|
2130 } |
|
|
2131 } |
|
|
2132 } |
|
|
2133 |
|
|
2134 // idx_vector::freeze() printed an error message for us. |
|
|
2135 |
|
|
2136 return retval; |
|
|
2137 } |
|
|
2138 |
|
|
2139 template <class T> |
|
|
2140 Array<T> |
|
|
2141 Array<T>::index2 (idx_vector& idx_arg, int resize_ok, const T& rfv) const |
|
|
2142 { |
|
|
2143 Array<T> retval; |
|
|
2144 |
|
4548
|
2145 assert (ndims () == 2); |
|
|
2146 |
|
5275
|
2147 octave_idx_type nr = dim1 (); |
|
|
2148 octave_idx_type nc = dim2 (); |
|
|
2149 |
|
|
2150 octave_idx_type orig_len = nr * nc; |
|
4517
|
2151 |
|
4832
|
2152 dim_vector idx_orig_dims = idx_arg.orig_dimensions (); |
|
|
2153 |
|
5275
|
2154 octave_idx_type idx_orig_rows = idx_arg.orig_rows (); |
|
|
2155 octave_idx_type idx_orig_columns = idx_arg.orig_columns (); |
|
4517
|
2156 |
|
|
2157 if (idx_arg.is_colon ()) |
|
|
2158 { |
|
|
2159 // Fast magic colon processing. |
|
|
2160 |
|
5275
|
2161 octave_idx_type result_nr = nr * nc; |
|
|
2162 octave_idx_type result_nc = 1; |
|
4517
|
2163 |
|
|
2164 retval = Array<T> (*this, dim_vector (result_nr, result_nc)); |
|
|
2165 } |
|
|
2166 else if (nr == 1 && nc == 1) |
|
|
2167 { |
|
|
2168 Array<T> tmp = Array<T>::index1 (idx_arg, resize_ok); |
|
|
2169 |
|
5275
|
2170 octave_idx_type len = tmp.length (); |
|
4828
|
2171 |
|
|
2172 if (len == 0 && idx_arg.one_zero_only ()) |
|
|
2173 retval = Array<T> (tmp, dim_vector (0, 0)); |
|
4876
|
2174 else if (len >= idx_orig_dims.numel ()) |
|
4832
|
2175 retval = Array<T> (tmp, idx_orig_dims); |
|
4517
|
2176 } |
|
|
2177 else if (nr == 1 || nc == 1) |
|
|
2178 { |
|
|
2179 // If indexing a vector with a matrix, return value has same |
|
|
2180 // shape as the index. Otherwise, it has same orientation as |
|
|
2181 // indexed object. |
|
|
2182 |
|
4828
|
2183 Array<T> tmp = Array<T>::index1 (idx_arg, resize_ok); |
|
4517
|
2184 |
|
5275
|
2185 octave_idx_type len = tmp.length (); |
|
4517
|
2186 |
|
4827
|
2187 if ((len != 0 && idx_arg.one_zero_only ()) |
|
|
2188 || idx_orig_rows == 1 || idx_orig_columns == 1) |
|
4517
|
2189 { |
|
4827
|
2190 if (nr == 1) |
|
|
2191 retval = Array<T> (tmp, dim_vector (1, len)); |
|
4517
|
2192 else |
|
4827
|
2193 retval = Array<T> (tmp, dim_vector (len, 1)); |
|
4517
|
2194 } |
|
4876
|
2195 else if (len >= idx_orig_dims.numel ()) |
|
4832
|
2196 retval = Array<T> (tmp, idx_orig_dims); |
|
4517
|
2197 } |
|
|
2198 else |
|
|
2199 { |
|
5781
|
2200 if (! (idx_arg.one_zero_only () |
|
|
2201 && idx_orig_rows == nr |
|
|
2202 && idx_orig_columns == nc)) |
|
|
2203 (*current_liboctave_warning_with_id_handler) |
|
|
2204 ("Octave:fortran-indexing", "single index used for matrix"); |
|
4517
|
2205 |
|
|
2206 // This code is only for indexing matrices. The vector |
|
|
2207 // cases are handled above. |
|
|
2208 |
|
|
2209 idx_arg.freeze (nr * nc, "matrix", resize_ok); |
|
|
2210 |
|
|
2211 if (idx_arg) |
|
|
2212 { |
|
5275
|
2213 octave_idx_type result_nr = idx_orig_rows; |
|
|
2214 octave_idx_type result_nc = idx_orig_columns; |
|
4517
|
2215 |
|
|
2216 if (idx_arg.one_zero_only ()) |
|
|
2217 { |
|
|
2218 result_nr = idx_arg.ones_count (); |
|
|
2219 result_nc = (result_nr > 0 ? 1 : 0); |
|
|
2220 } |
|
|
2221 |
|
|
2222 retval.resize_no_fill (result_nr, result_nc); |
|
|
2223 |
|
5275
|
2224 octave_idx_type k = 0; |
|
|
2225 for (octave_idx_type j = 0; j < result_nc; j++) |
|
4517
|
2226 { |
|
5275
|
2227 for (octave_idx_type i = 0; i < result_nr; i++) |
|
4517
|
2228 { |
|
5275
|
2229 octave_idx_type ii = idx_arg.elem (k++); |
|
4517
|
2230 if (ii >= orig_len) |
|
|
2231 retval.elem (i, j) = rfv; |
|
|
2232 else |
|
|
2233 { |
|
5275
|
2234 octave_idx_type fr = ii % nr; |
|
|
2235 octave_idx_type fc = (ii - fr) / nr; |
|
4517
|
2236 retval.elem (i, j) = elem (fr, fc); |
|
|
2237 } |
|
|
2238 } |
|
|
2239 } |
|
|
2240 } |
|
|
2241 // idx_vector::freeze() printed an error message for us. |
|
|
2242 } |
|
|
2243 |
|
|
2244 return retval; |
|
|
2245 } |
|
|
2246 |
|
|
2247 template <class T> |
|
|
2248 Array<T> |
|
4530
|
2249 Array<T>::indexN (idx_vector& ra_idx, int resize_ok, const T& rfv) const |
|
|
2250 { |
|
|
2251 Array<T> retval; |
|
|
2252 |
|
5519
|
2253 dim_vector dv = dims (); |
|
|
2254 |
|
|
2255 int n_dims = dv.length (); |
|
|
2256 |
|
|
2257 octave_idx_type orig_len = dv.numel (); |
|
4530
|
2258 |
|
4757
|
2259 dim_vector idx_orig_dims = ra_idx.orig_dimensions (); |
|
4530
|
2260 |
|
|
2261 if (ra_idx.is_colon ()) |
|
|
2262 { |
|
4651
|
2263 // Fast magic colon processing. |
|
|
2264 |
|
|
2265 retval = Array<T> (*this, dim_vector (orig_len, 1)); |
|
4530
|
2266 } |
|
4651
|
2267 else |
|
4530
|
2268 { |
|
5519
|
2269 bool vec_equiv = vector_equivalent (dv); |
|
|
2270 |
|
|
2271 if (! vec_equiv |
|
4651
|
2272 && ! (ra_idx.is_colon () |
|
5519
|
2273 || (ra_idx.one_zero_only () && idx_orig_dims == dv))) |
|
5781
|
2274 (*current_liboctave_warning_with_id_handler) |
|
|
2275 ("Octave:fortran-indexing", "single index used for N-d array"); |
|
4530
|
2276 |
|
5519
|
2277 octave_idx_type frozen_len |
|
|
2278 = ra_idx.freeze (orig_len, "nd-array", resize_ok); |
|
4530
|
2279 |
|
|
2280 if (ra_idx) |
|
4757
|
2281 { |
|
5519
|
2282 dim_vector result_dims; |
|
|
2283 |
|
|
2284 if (vec_equiv) |
|
|
2285 { |
|
|
2286 result_dims = dv; |
|
|
2287 |
|
|
2288 for (int i = 0; i < n_dims; i++) |
|
|
2289 { |
|
|
2290 if (result_dims(i) != 1) |
|
|
2291 { |
|
|
2292 // All but this dim should be one. |
|
|
2293 result_dims(i) = frozen_len; |
|
|
2294 break; |
|
|
2295 } |
|
|
2296 } |
|
|
2297 } |
|
|
2298 else |
|
|
2299 result_dims = idx_orig_dims; |
|
4530
|
2300 |
|
|
2301 if (ra_idx.one_zero_only ()) |
|
|
2302 { |
|
4651
|
2303 result_dims.resize (2); |
|
5275
|
2304 octave_idx_type ntot = ra_idx.ones_count (); |
|
4651
|
2305 result_dims(0) = ntot; |
|
|
2306 result_dims(1) = (ntot > 0 ? 1 : 0); |
|
4530
|
2307 } |
|
|
2308 |
|
4673
|
2309 result_dims.chop_trailing_singletons (); |
|
|
2310 |
|
4530
|
2311 retval.resize (result_dims); |
|
|
2312 |
|
5275
|
2313 octave_idx_type n = result_dims.numel (); |
|
4530
|
2314 |
|
5275
|
2315 octave_idx_type k = 0; |
|
|
2316 |
|
|
2317 for (octave_idx_type i = 0; i < n; i++) |
|
4530
|
2318 { |
|
5275
|
2319 octave_idx_type ii = ra_idx.elem (k++); |
|
4530
|
2320 |
|
|
2321 if (ii >= orig_len) |
|
5535
|
2322 retval.elem (i) = rfv; |
|
4530
|
2323 else |
|
5535
|
2324 retval.elem (i) = elem (ii); |
|
4530
|
2325 } |
|
|
2326 } |
|
|
2327 } |
|
|
2328 |
|
|
2329 return retval; |
|
|
2330 } |
|
|
2331 |
|
|
2332 template <class T> |
|
|
2333 Array<T> |
|
4517
|
2334 Array<T>::index (idx_vector& idx_i, idx_vector& idx_j, int resize_ok, |
|
|
2335 const T& rfv) const |
|
|
2336 { |
|
|
2337 Array<T> retval; |
|
|
2338 |
|
4548
|
2339 assert (ndims () == 2); |
|
|
2340 |
|
5275
|
2341 octave_idx_type nr = dim1 (); |
|
|
2342 octave_idx_type nc = dim2 (); |
|
|
2343 |
|
|
2344 octave_idx_type n = idx_i.freeze (nr, "row", resize_ok); |
|
|
2345 octave_idx_type m = idx_j.freeze (nc, "column", resize_ok); |
|
4517
|
2346 |
|
|
2347 if (idx_i && idx_j) |
|
|
2348 { |
|
|
2349 if (idx_i.orig_empty () || idx_j.orig_empty () || n == 0 || m == 0) |
|
|
2350 { |
|
|
2351 retval.resize_no_fill (n, m); |
|
|
2352 } |
|
|
2353 else if (idx_i.is_colon_equiv (nr) && idx_j.is_colon_equiv (nc)) |
|
|
2354 { |
|
|
2355 retval = *this; |
|
|
2356 } |
|
|
2357 else |
|
|
2358 { |
|
|
2359 retval.resize_no_fill (n, m); |
|
|
2360 |
|
5275
|
2361 for (octave_idx_type j = 0; j < m; j++) |
|
4517
|
2362 { |
|
5275
|
2363 octave_idx_type jj = idx_j.elem (j); |
|
|
2364 for (octave_idx_type i = 0; i < n; i++) |
|
4517
|
2365 { |
|
5275
|
2366 octave_idx_type ii = idx_i.elem (i); |
|
4517
|
2367 if (ii >= nr || jj >= nc) |
|
|
2368 retval.elem (i, j) = rfv; |
|
|
2369 else |
|
|
2370 retval.elem (i, j) = elem (ii, jj); |
|
|
2371 } |
|
|
2372 } |
|
|
2373 } |
|
|
2374 } |
|
|
2375 |
|
|
2376 // idx_vector::freeze() printed an error message for us. |
|
|
2377 |
|
|
2378 return retval; |
|
|
2379 } |
|
|
2380 |
|
|
2381 template <class T> |
|
|
2382 Array<T> |
|
5992
|
2383 Array<T>::index (Array<idx_vector>& ra_idx, int resize_ok, const T& rfv) const |
|
4517
|
2384 { |
|
4530
|
2385 // This function handles all calls with more than one idx. |
|
|
2386 // For (3x3x3), the call can be A(2,5), A(2,:,:), A(3,2,3) etc. |
|
|
2387 |
|
4517
|
2388 Array<T> retval; |
|
|
2389 |
|
|
2390 int n_dims = dimensions.length (); |
|
|
2391 |
|
4737
|
2392 // Remove trailing singletons in ra_idx, but leave at least ndims |
|
|
2393 // elements. |
|
|
2394 |
|
5275
|
2395 octave_idx_type ra_idx_len = ra_idx.length (); |
|
4737
|
2396 |
|
4887
|
2397 bool trim_trailing_singletons = true; |
|
5275
|
2398 for (octave_idx_type j = ra_idx_len; j > n_dims; j--) |
|
4737
|
2399 { |
|
4887
|
2400 idx_vector iidx = ra_idx (ra_idx_len-1); |
|
|
2401 if (iidx.capacity () == 1 && trim_trailing_singletons) |
|
4737
|
2402 ra_idx_len--; |
|
|
2403 else |
|
4887
|
2404 trim_trailing_singletons = false; |
|
|
2405 |
|
5992
|
2406 if (! resize_ok) |
|
|
2407 { |
|
|
2408 for (octave_idx_type i = 0; i < iidx.capacity (); i++) |
|
|
2409 if (iidx (i) != 0) |
|
|
2410 { |
|
|
2411 (*current_liboctave_error_handler) |
|
|
2412 ("index exceeds N-d array dimensions"); |
|
|
2413 |
|
|
2414 return retval; |
|
|
2415 } |
|
|
2416 } |
|
4737
|
2417 } |
|
|
2418 |
|
|
2419 ra_idx.resize (ra_idx_len); |
|
|
2420 |
|
4887
|
2421 dim_vector new_dims = dims (); |
|
|
2422 dim_vector frozen_lengths; |
|
|
2423 |
|
|
2424 if (! any_orig_empty (ra_idx) && ra_idx_len < n_dims) |
|
|
2425 frozen_lengths = short_freeze (ra_idx, dimensions, resize_ok); |
|
|
2426 else |
|
4517
|
2427 { |
|
4887
|
2428 new_dims.resize (ra_idx_len, 1); |
|
|
2429 frozen_lengths = freeze (ra_idx, new_dims, resize_ok); |
|
4530
|
2430 } |
|
|
2431 |
|
4887
|
2432 if (all_ok (ra_idx)) |
|
4530
|
2433 { |
|
4887
|
2434 if (any_orig_empty (ra_idx) || frozen_lengths.any_zero ()) |
|
|
2435 { |
|
|
2436 frozen_lengths.chop_trailing_singletons (); |
|
|
2437 |
|
|
2438 retval.resize (frozen_lengths); |
|
|
2439 } |
|
|
2440 else if (frozen_lengths.length () == n_dims |
|
|
2441 && all_colon_equiv (ra_idx, dimensions)) |
|
|
2442 { |
|
|
2443 retval = *this; |
|
|
2444 } |
|
|
2445 else |
|
4517
|
2446 { |
|
4887
|
2447 dim_vector frozen_lengths_for_resize = frozen_lengths; |
|
|
2448 |
|
|
2449 frozen_lengths_for_resize.chop_trailing_singletons (); |
|
|
2450 |
|
|
2451 retval.resize (frozen_lengths_for_resize); |
|
|
2452 |
|
5275
|
2453 octave_idx_type n = retval.length (); |
|
|
2454 |
|
|
2455 Array<octave_idx_type> result_idx (ra_idx.length (), 0); |
|
|
2456 |
|
|
2457 Array<octave_idx_type> elt_idx; |
|
|
2458 |
|
|
2459 for (octave_idx_type i = 0; i < n; i++) |
|
4530
|
2460 { |
|
4887
|
2461 elt_idx = get_elt_idx (ra_idx, result_idx); |
|
|
2462 |
|
5275
|
2463 octave_idx_type numelem_elt = get_scalar_idx (elt_idx, new_dims); |
|
4887
|
2464 |
|
5992
|
2465 if (numelem_elt >= length () || numelem_elt < 0) |
|
|
2466 retval.elem (i) = rfv; |
|
4887
|
2467 else |
|
|
2468 retval.elem (i) = elem (numelem_elt); |
|
|
2469 |
|
|
2470 increment_index (result_idx, frozen_lengths); |
|
|
2471 |
|
4517
|
2472 } |
|
|
2473 } |
|
|
2474 } |
|
|
2475 |
|
|
2476 return retval; |
|
|
2477 } |
|
|
2478 |
|
5775
|
2479 // FIXME -- this is a mess. |
|
4517
|
2480 |
|
|
2481 template <class LT, class RT> |
|
|
2482 int |
|
|
2483 assign (Array<LT>& lhs, const Array<RT>& rhs, const LT& rfv) |
|
|
2484 { |
|
6388
|
2485 int n_idx = lhs.index_count (); |
|
|
2486 |
|
|
2487 // kluge... |
|
|
2488 if (lhs.ndims () == 0) |
|
|
2489 lhs.resize_no_fill (0, 0); |
|
|
2490 |
|
|
2491 return (lhs.ndims () == 2 |
|
|
2492 && (n_idx == 1 |
|
|
2493 || (n_idx < 3 |
|
|
2494 && rhs.ndims () == 2 |
|
|
2495 && rhs.rows () == 0 && rhs.columns () == 0))) |
|
|
2496 ? assign2 (lhs, rhs, rfv) : assignN (lhs, rhs, rfv); |
|
4517
|
2497 } |
|
|
2498 |
|
|
2499 template <class LT, class RT> |
|
|
2500 int |
|
|
2501 assign1 (Array<LT>& lhs, const Array<RT>& rhs, const LT& rfv) |
|
|
2502 { |
|
|
2503 int retval = 1; |
|
|
2504 |
|
|
2505 idx_vector *tmp = lhs.get_idx (); |
|
|
2506 |
|
|
2507 idx_vector lhs_idx = tmp[0]; |
|
|
2508 |
|
5275
|
2509 octave_idx_type lhs_len = lhs.length (); |
|
|
2510 octave_idx_type rhs_len = rhs.length (); |
|
|
2511 |
|
5781
|
2512 octave_idx_type n = lhs_idx.freeze (lhs_len, "vector", true); |
|
4517
|
2513 |
|
|
2514 if (n != 0) |
|
|
2515 { |
|
6389
|
2516 dim_vector lhs_dims = lhs.dims (); |
|
|
2517 |
|
|
2518 if (lhs_len == 0 && ! lhs_dims.all_zero ()) |
|
|
2519 { |
|
|
2520 (*current_liboctave_error_handler) |
|
|
2521 ("A(I) = X: unable to resize A"); |
|
|
2522 |
|
|
2523 retval = 0; |
|
|
2524 } |
|
4517
|
2525 else |
|
|
2526 { |
|
6392
|
2527 if (rhs_len == n || rhs_len == 1) |
|
|
2528 { |
|
|
2529 octave_idx_type max_idx = lhs_idx.max () + 1; |
|
|
2530 if (max_idx > lhs_len) |
|
|
2531 lhs.resize_and_fill (max_idx, rfv); |
|
|
2532 } |
|
|
2533 |
|
|
2534 if (rhs_len == n) |
|
|
2535 { |
|
|
2536 for (octave_idx_type i = 0; i < n; i++) |
|
|
2537 { |
|
|
2538 octave_idx_type ii = lhs_idx.elem (i); |
|
|
2539 lhs.elem (ii) = rhs.elem (i); |
|
|
2540 } |
|
|
2541 } |
|
|
2542 else if (rhs_len == 1) |
|
|
2543 { |
|
|
2544 RT scalar = rhs.elem (0); |
|
|
2545 |
|
|
2546 for (octave_idx_type i = 0; i < n; i++) |
|
|
2547 { |
|
|
2548 octave_idx_type ii = lhs_idx.elem (i); |
|
|
2549 lhs.elem (ii) = scalar; |
|
|
2550 } |
|
|
2551 } |
|
|
2552 else |
|
|
2553 { |
|
|
2554 (*current_liboctave_error_handler) |
|
|
2555 ("A(I) = X: X must be a scalar or a vector with same length as I"); |
|
|
2556 |
|
|
2557 retval = 0; |
|
|
2558 } |
|
4517
|
2559 } |
|
|
2560 } |
|
|
2561 else if (lhs_idx.is_colon ()) |
|
|
2562 { |
|
6384
|
2563 dim_vector lhs_dims = lhs.dims (); |
|
|
2564 |
|
|
2565 if (lhs_dims.all_zero ()) |
|
4517
|
2566 { |
|
|
2567 lhs.resize_no_fill (rhs_len); |
|
|
2568 |
|
5275
|
2569 for (octave_idx_type i = 0; i < rhs_len; i++) |
|
4517
|
2570 lhs.elem (i) = rhs.elem (i); |
|
|
2571 } |
|
6553
|
2572 else if (rhs_len != lhs_len) |
|
4517
|
2573 (*current_liboctave_error_handler) |
|
|
2574 ("A(:) = X: A must be the same size as X"); |
|
|
2575 } |
|
|
2576 else if (! (rhs_len == 1 || rhs_len == 0)) |
|
|
2577 { |
|
|
2578 (*current_liboctave_error_handler) |
|
|
2579 ("A([]) = X: X must also be an empty matrix or a scalar"); |
|
|
2580 |
|
|
2581 retval = 0; |
|
|
2582 } |
|
|
2583 |
|
|
2584 lhs.clear_index (); |
|
|
2585 |
|
|
2586 return retval; |
|
|
2587 } |
|
|
2588 |
|
|
2589 #define MAYBE_RESIZE_LHS \ |
|
|
2590 do \ |
|
|
2591 { \ |
|
5275
|
2592 octave_idx_type max_row_idx = idx_i_is_colon ? rhs_nr : idx_i.max () + 1; \ |
|
|
2593 octave_idx_type max_col_idx = idx_j_is_colon ? rhs_nc : idx_j.max () + 1; \ |
|
4517
|
2594 \ |
|
5275
|
2595 octave_idx_type new_nr = max_row_idx > lhs_nr ? max_row_idx : lhs_nr; \ |
|
|
2596 octave_idx_type new_nc = max_col_idx > lhs_nc ? max_col_idx : lhs_nc; \ |
|
4517
|
2597 \ |
|
|
2598 lhs.resize_and_fill (new_nr, new_nc, rfv); \ |
|
|
2599 } \ |
|
|
2600 while (0) |
|
|
2601 |
|
|
2602 template <class LT, class RT> |
|
|
2603 int |
|
|
2604 assign2 (Array<LT>& lhs, const Array<RT>& rhs, const LT& rfv) |
|
|
2605 { |
|
|
2606 int retval = 1; |
|
|
2607 |
|
|
2608 int n_idx = lhs.index_count (); |
|
|
2609 |
|
5275
|
2610 octave_idx_type lhs_nr = lhs.rows (); |
|
|
2611 octave_idx_type lhs_nc = lhs.cols (); |
|
4517
|
2612 |
|
5047
|
2613 Array<RT> xrhs = rhs; |
|
|
2614 |
|
5275
|
2615 octave_idx_type rhs_nr = xrhs.rows (); |
|
|
2616 octave_idx_type rhs_nc = xrhs.cols (); |
|
5047
|
2617 |
|
|
2618 if (xrhs.ndims () > 2) |
|
4707
|
2619 { |
|
5047
|
2620 xrhs = xrhs.squeeze (); |
|
|
2621 |
|
|
2622 dim_vector dv_tmp = xrhs.dims (); |
|
4709
|
2623 |
|
4708
|
2624 switch (dv_tmp.length ()) |
|
4707
|
2625 { |
|
4708
|
2626 case 1: |
|
5775
|
2627 // FIXME -- this case should be unnecessary, because |
|
5047
|
2628 // squeeze should always return an object with 2 dimensions. |
|
4708
|
2629 if (rhs_nr == 1) |
|
|
2630 rhs_nc = dv_tmp.elem (0); |
|
|
2631 break; |
|
4709
|
2632 |
|
4708
|
2633 case 2: |
|
4707
|
2634 rhs_nr = dv_tmp.elem (0); |
|
|
2635 rhs_nc = dv_tmp.elem (1); |
|
4708
|
2636 break; |
|
|
2637 |
|
|
2638 default: |
|
|
2639 (*current_liboctave_error_handler) |
|
|
2640 ("Array<T>::assign2: Dimension mismatch"); |
|
4709
|
2641 return 0; |
|
4707
|
2642 } |
|
|
2643 } |
|
4517
|
2644 |
|
6384
|
2645 bool rhs_is_scalar = rhs_nr == 1 && rhs_nc == 1; |
|
|
2646 |
|
4517
|
2647 idx_vector *tmp = lhs.get_idx (); |
|
|
2648 |
|
|
2649 idx_vector idx_i; |
|
|
2650 idx_vector idx_j; |
|
|
2651 |
|
|
2652 if (n_idx > 1) |
|
|
2653 idx_j = tmp[1]; |
|
|
2654 |
|
|
2655 if (n_idx > 0) |
|
|
2656 idx_i = tmp[0]; |
|
|
2657 |
|
|
2658 if (n_idx == 2) |
|
|
2659 { |
|
5781
|
2660 octave_idx_type n = idx_i.freeze (lhs_nr, "row", true); |
|
|
2661 octave_idx_type m = idx_j.freeze (lhs_nc, "column", true); |
|
4517
|
2662 |
|
|
2663 int idx_i_is_colon = idx_i.is_colon (); |
|
|
2664 int idx_j_is_colon = idx_j.is_colon (); |
|
|
2665 |
|
6384
|
2666 if (lhs_nr == 0 && lhs_nc == 0) |
|
|
2667 { |
|
|
2668 if (idx_i_is_colon) |
|
|
2669 n = rhs_nr; |
|
|
2670 |
|
|
2671 if (idx_j_is_colon) |
|
|
2672 m = rhs_nc; |
|
|
2673 } |
|
4517
|
2674 |
|
|
2675 if (idx_i && idx_j) |
|
|
2676 { |
|
|
2677 if (rhs_nr == 0 && rhs_nc == 0) |
|
|
2678 { |
|
|
2679 lhs.maybe_delete_elements (idx_i, idx_j); |
|
|
2680 } |
|
|
2681 else |
|
|
2682 { |
|
6384
|
2683 if (rhs_is_scalar && n >= 0 && m >= 0) |
|
4517
|
2684 { |
|
4534
|
2685 // No need to do anything if either of the indices |
|
|
2686 // are empty. |
|
|
2687 |
|
|
2688 if (n > 0 && m > 0) |
|
4517
|
2689 { |
|
4534
|
2690 MAYBE_RESIZE_LHS; |
|
|
2691 |
|
5047
|
2692 RT scalar = xrhs.elem (0, 0); |
|
4534
|
2693 |
|
5275
|
2694 for (octave_idx_type j = 0; j < m; j++) |
|
4517
|
2695 { |
|
5275
|
2696 octave_idx_type jj = idx_j.elem (j); |
|
|
2697 for (octave_idx_type i = 0; i < n; i++) |
|
4534
|
2698 { |
|
5275
|
2699 octave_idx_type ii = idx_i.elem (i); |
|
4534
|
2700 lhs.elem (ii, jj) = scalar; |
|
|
2701 } |
|
4517
|
2702 } |
|
|
2703 } |
|
|
2704 } |
|
6072
|
2705 else if ((n == 1 || m == 1) |
|
|
2706 && (rhs_nr == 1 || rhs_nc == 1) |
|
|
2707 && n * m == rhs_nr * rhs_nc) |
|
|
2708 { |
|
6384
|
2709 MAYBE_RESIZE_LHS; |
|
|
2710 |
|
6072
|
2711 if (n > 0 && m > 0) |
|
|
2712 { |
|
|
2713 octave_idx_type k = 0; |
|
|
2714 |
|
|
2715 for (octave_idx_type j = 0; j < m; j++) |
|
|
2716 { |
|
|
2717 octave_idx_type jj = idx_j.elem (j); |
|
|
2718 for (octave_idx_type i = 0; i < n; i++) |
|
|
2719 { |
|
|
2720 octave_idx_type ii = idx_i.elem (i); |
|
|
2721 lhs.elem (ii, jj) = xrhs.elem (k++); |
|
|
2722 } |
|
|
2723 } |
|
|
2724 } |
|
|
2725 } |
|
4517
|
2726 else if (n == rhs_nr && m == rhs_nc) |
|
|
2727 { |
|
6384
|
2728 MAYBE_RESIZE_LHS; |
|
|
2729 |
|
4517
|
2730 if (n > 0 && m > 0) |
|
|
2731 { |
|
5275
|
2732 for (octave_idx_type j = 0; j < m; j++) |
|
4517
|
2733 { |
|
5275
|
2734 octave_idx_type jj = idx_j.elem (j); |
|
|
2735 for (octave_idx_type i = 0; i < n; i++) |
|
4517
|
2736 { |
|
5275
|
2737 octave_idx_type ii = idx_i.elem (i); |
|
5047
|
2738 lhs.elem (ii, jj) = xrhs.elem (i, j); |
|
4517
|
2739 } |
|
|
2740 } |
|
|
2741 } |
|
|
2742 } |
|
|
2743 else if (n == 0 && m == 0) |
|
|
2744 { |
|
6384
|
2745 if (! (rhs_is_scalar || (rhs_nr == 0 || rhs_nc == 0))) |
|
4517
|
2746 { |
|
|
2747 (*current_liboctave_error_handler) |
|
|
2748 ("A([], []) = X: X must be an empty matrix or a scalar"); |
|
|
2749 |
|
|
2750 retval = 0; |
|
|
2751 } |
|
|
2752 } |
|
|
2753 else |
|
|
2754 { |
|
|
2755 (*current_liboctave_error_handler) |
|
|
2756 ("A(I, J) = X: X must be a scalar or the number of elements in I must"); |
|
|
2757 (*current_liboctave_error_handler) |
|
|
2758 ("match the number of rows in X and the number of elements in J must"); |
|
|
2759 (*current_liboctave_error_handler) |
|
|
2760 ("match the number of columns in X"); |
|
|
2761 |
|
|
2762 retval = 0; |
|
|
2763 } |
|
|
2764 } |
|
|
2765 } |
|
|
2766 // idx_vector::freeze() printed an error message for us. |
|
|
2767 } |
|
|
2768 else if (n_idx == 1) |
|
|
2769 { |
|
|
2770 int lhs_is_empty = lhs_nr == 0 || lhs_nc == 0; |
|
|
2771 |
|
|
2772 if (lhs_is_empty || (lhs_nr == 1 && lhs_nc == 1)) |
|
|
2773 { |
|
5275
|
2774 octave_idx_type lhs_len = lhs.length (); |
|
|
2775 |
|
6384
|
2776 idx_i.freeze (lhs_len, 0, true); |
|
4517
|
2777 |
|
|
2778 if (idx_i) |
|
|
2779 { |
|
|
2780 if (rhs_nr == 0 && rhs_nc == 0) |
|
|
2781 { |
|
6384
|
2782 lhs.maybe_delete_elements (idx_i); |
|
4517
|
2783 } |
|
|
2784 else |
|
|
2785 { |
|
5781
|
2786 if (lhs_is_empty |
|
|
2787 && idx_i.is_colon () |
|
|
2788 && ! (rhs_nr == 1 || rhs_nc == 1)) |
|
4517
|
2789 { |
|
5781
|
2790 (*current_liboctave_warning_with_id_handler) |
|
|
2791 ("Octave:fortran-indexing", |
|
|
2792 "A(:) = X: X is not a vector or scalar"); |
|
|
2793 } |
|
|
2794 else |
|
|
2795 { |
|
|
2796 octave_idx_type idx_nr = idx_i.orig_rows (); |
|
|
2797 octave_idx_type idx_nc = idx_i.orig_columns (); |
|
|
2798 |
|
|
2799 if (! (rhs_nr == idx_nr && rhs_nc == idx_nc)) |
|
|
2800 (*current_liboctave_warning_with_id_handler) |
|
|
2801 ("Octave:fortran-indexing", |
|
|
2802 "A(I) = X: X does not have same shape as I"); |
|
4517
|
2803 } |
|
|
2804 |
|
5047
|
2805 if (assign1 (lhs, xrhs, rfv)) |
|
4517
|
2806 { |
|
5275
|
2807 octave_idx_type len = lhs.length (); |
|
4517
|
2808 |
|
|
2809 if (len > 0) |
|
|
2810 { |
|
|
2811 // The following behavior is much simplified |
|
|
2812 // over previous versions of Octave. It |
|
|
2813 // seems to be compatible with Matlab. |
|
|
2814 |
|
|
2815 lhs.dimensions = dim_vector (1, lhs.length ()); |
|
|
2816 } |
|
|
2817 } |
|
|
2818 else |
|
|
2819 retval = 0; |
|
|
2820 } |
|
|
2821 } |
|
|
2822 // idx_vector::freeze() printed an error message for us. |
|
|
2823 } |
|
|
2824 else if (lhs_nr == 1) |
|
|
2825 { |
|
5781
|
2826 idx_i.freeze (lhs_nc, "vector", true); |
|
4517
|
2827 |
|
|
2828 if (idx_i) |
|
|
2829 { |
|
|
2830 if (rhs_nr == 0 && rhs_nc == 0) |
|
|
2831 lhs.maybe_delete_elements (idx_i); |
|
|
2832 else |
|
|
2833 { |
|
5047
|
2834 if (assign1 (lhs, xrhs, rfv)) |
|
4517
|
2835 lhs.dimensions = dim_vector (1, lhs.length ()); |
|
|
2836 else |
|
|
2837 retval = 0; |
|
|
2838 } |
|
|
2839 } |
|
|
2840 // idx_vector::freeze() printed an error message for us. |
|
|
2841 } |
|
|
2842 else if (lhs_nc == 1) |
|
|
2843 { |
|
5781
|
2844 idx_i.freeze (lhs_nr, "vector", true); |
|
4517
|
2845 |
|
|
2846 if (idx_i) |
|
|
2847 { |
|
|
2848 if (rhs_nr == 0 && rhs_nc == 0) |
|
|
2849 lhs.maybe_delete_elements (idx_i); |
|
|
2850 else |
|
|
2851 { |
|
5047
|
2852 if (assign1 (lhs, xrhs, rfv)) |
|
4517
|
2853 lhs.dimensions = dim_vector (lhs.length (), 1); |
|
|
2854 else |
|
|
2855 retval = 0; |
|
|
2856 } |
|
|
2857 } |
|
|
2858 // idx_vector::freeze() printed an error message for us. |
|
|
2859 } |
|
|
2860 else |
|
|
2861 { |
|
5781
|
2862 if (! (idx_i.is_colon () |
|
|
2863 || (idx_i.one_zero_only () |
|
|
2864 && idx_i.orig_rows () == lhs_nr |
|
|
2865 && idx_i.orig_columns () == lhs_nc))) |
|
|
2866 (*current_liboctave_warning_with_id_handler) |
|
|
2867 ("Octave:fortran-indexing", "single index used for matrix"); |
|
4517
|
2868 |
|
5275
|
2869 octave_idx_type len = idx_i.freeze (lhs_nr * lhs_nc, "matrix"); |
|
4517
|
2870 |
|
|
2871 if (idx_i) |
|
|
2872 { |
|
4756
|
2873 if (rhs_nr == 0 && rhs_nc == 0) |
|
|
2874 lhs.maybe_delete_elements (idx_i); |
|
|
2875 else if (len == 0) |
|
4517
|
2876 { |
|
6384
|
2877 if (! (rhs_is_scalar || (rhs_nr == 0 || rhs_nc == 0))) |
|
4517
|
2878 (*current_liboctave_error_handler) |
|
|
2879 ("A([]) = X: X must be an empty matrix or scalar"); |
|
|
2880 } |
|
|
2881 else if (len == rhs_nr * rhs_nc) |
|
|
2882 { |
|
6384
|
2883 for (octave_idx_type i = 0; i < len; i++) |
|
4517
|
2884 { |
|
6384
|
2885 octave_idx_type ii = idx_i.elem (i); |
|
|
2886 lhs.elem (ii) = xrhs.elem (i); |
|
4517
|
2887 } |
|
|
2888 } |
|
6384
|
2889 else if (rhs_is_scalar) |
|
4517
|
2890 { |
|
|
2891 RT scalar = rhs.elem (0, 0); |
|
|
2892 |
|
5275
|
2893 for (octave_idx_type i = 0; i < len; i++) |
|
4517
|
2894 { |
|
5275
|
2895 octave_idx_type ii = idx_i.elem (i); |
|
4716
|
2896 lhs.elem (ii) = scalar; |
|
4517
|
2897 } |
|
|
2898 } |
|
|
2899 else |
|
|
2900 { |
|
|
2901 (*current_liboctave_error_handler) |
|
|
2902 ("A(I) = X: X must be a scalar or a matrix with the same size as I"); |
|
|
2903 |
|
|
2904 retval = 0; |
|
|
2905 } |
|
|
2906 } |
|
|
2907 // idx_vector::freeze() printed an error message for us. |
|
|
2908 } |
|
|
2909 } |
|
|
2910 else |
|
|
2911 { |
|
|
2912 (*current_liboctave_error_handler) |
|
|
2913 ("invalid number of indices for matrix expression"); |
|
|
2914 |
|
|
2915 retval = 0; |
|
|
2916 } |
|
|
2917 |
|
|
2918 lhs.clear_index (); |
|
|
2919 |
|
|
2920 return retval; |
|
|
2921 } |
|
|
2922 |
|
|
2923 template <class LT, class RT> |
|
|
2924 int |
|
|
2925 assignN (Array<LT>& lhs, const Array<RT>& rhs, const LT& rfv) |
|
|
2926 { |
|
|
2927 int retval = 1; |
|
|
2928 |
|
4746
|
2929 dim_vector rhs_dims = rhs.dims (); |
|
|
2930 |
|
5275
|
2931 octave_idx_type rhs_dims_len = rhs_dims.length (); |
|
4746
|
2932 |
|
|
2933 bool rhs_is_scalar = is_scalar (rhs_dims); |
|
|
2934 |
|
4517
|
2935 int n_idx = lhs.index_count (); |
|
|
2936 |
|
4745
|
2937 idx_vector *idx_vex = lhs.get_idx (); |
|
|
2938 |
|
|
2939 Array<idx_vector> idx = conv_to_array (idx_vex, n_idx); |
|
4517
|
2940 |
|
4743
|
2941 if (rhs_dims_len == 2 && rhs_dims(0) == 0 && rhs_dims(1) == 0) |
|
4517
|
2942 { |
|
|
2943 lhs.maybe_delete_elements (idx, rfv); |
|
|
2944 } |
|
5285
|
2945 else if (n_idx == 0) |
|
|
2946 { |
|
|
2947 (*current_liboctave_error_handler) |
|
|
2948 ("invalid number of indices for matrix expression"); |
|
|
2949 |
|
|
2950 retval = 0; |
|
|
2951 } |
|
4657
|
2952 else if (n_idx == 1) |
|
4517
|
2953 { |
|
4657
|
2954 idx_vector iidx = idx(0); |
|
|
2955 |
|
5781
|
2956 if (! (iidx.is_colon () |
|
|
2957 || (iidx.one_zero_only () |
|
|
2958 && iidx.orig_dimensions () == lhs.dims ()))) |
|
|
2959 (*current_liboctave_warning_with_id_handler) |
|
|
2960 ("Octave:fortran-indexing", "single index used for N-d array"); |
|
4657
|
2961 |
|
5275
|
2962 octave_idx_type lhs_len = lhs.length (); |
|
|
2963 |
|
|
2964 octave_idx_type len = iidx.freeze (lhs_len, "N-d arrray"); |
|
4657
|
2965 |
|
|
2966 if (iidx) |
|
4533
|
2967 { |
|
4657
|
2968 if (len == 0) |
|
4656
|
2969 { |
|
5039
|
2970 if (! (rhs_dims.all_ones () || rhs_dims.any_zero ())) |
|
4743
|
2971 { |
|
|
2972 (*current_liboctave_error_handler) |
|
|
2973 ("A([]) = X: X must be an empty matrix or scalar"); |
|
|
2974 |
|
|
2975 retval = 0; |
|
|
2976 } |
|
4657
|
2977 } |
|
|
2978 else if (len == rhs.length ()) |
|
|
2979 { |
|
5275
|
2980 for (octave_idx_type i = 0; i < len; i++) |
|
4656
|
2981 { |
|
5275
|
2982 octave_idx_type ii = iidx.elem (i); |
|
4657
|
2983 |
|
|
2984 lhs.elem (ii) = rhs.elem (i); |
|
4656
|
2985 } |
|
|
2986 } |
|
4716
|
2987 else if (rhs_is_scalar) |
|
4657
|
2988 { |
|
|
2989 RT scalar = rhs.elem (0); |
|
|
2990 |
|
5275
|
2991 for (octave_idx_type i = 0; i < len; i++) |
|
4657
|
2992 { |
|
5275
|
2993 octave_idx_type ii = iidx.elem (i); |
|
4657
|
2994 |
|
|
2995 lhs.elem (ii) = scalar; |
|
|
2996 } |
|
|
2997 } |
|
|
2998 else |
|
|
2999 { |
|
|
3000 (*current_liboctave_error_handler) |
|
4702
|
3001 ("A(I) = X: X must be a scalar or a matrix with the same size as I"); |
|
|
3002 |
|
4657
|
3003 retval = 0; |
|
|
3004 } |
|
|
3005 |
|
4656
|
3006 // idx_vector::freeze() printed an error message for us. |
|
4533
|
3007 } |
|
4702
|
3008 } |
|
4743
|
3009 else |
|
4702
|
3010 { |
|
4746
|
3011 // Maybe expand to more dimensions. |
|
|
3012 |
|
|
3013 dim_vector lhs_dims = lhs.dims (); |
|
|
3014 |
|
5275
|
3015 octave_idx_type lhs_dims_len = lhs_dims.length (); |
|
4746
|
3016 |
|
|
3017 dim_vector final_lhs_dims = lhs_dims; |
|
|
3018 |
|
|
3019 dim_vector frozen_len; |
|
|
3020 |
|
5275
|
3021 octave_idx_type orig_lhs_dims_len = lhs_dims_len; |
|
4747
|
3022 |
|
|
3023 bool orig_empty = lhs_dims.all_zero (); |
|
|
3024 |
|
|
3025 if (n_idx < lhs_dims_len) |
|
4517
|
3026 { |
|
5052
|
3027 // Collapse dimensions beyond last index. Note that we |
|
|
3028 // delay resizing LHS until we know that the assignment will |
|
|
3029 // succeed. |
|
4747
|
3030 |
|
5781
|
3031 if (! (idx(n_idx-1).is_colon ())) |
|
|
3032 (*current_liboctave_warning_with_id_handler) |
|
|
3033 ("Octave:fortran-indexing", |
|
|
3034 "fewer indices than dimensions for N-d array"); |
|
4747
|
3035 |
|
|
3036 for (int i = n_idx; i < lhs_dims_len; i++) |
|
|
3037 lhs_dims(n_idx-1) *= lhs_dims(i); |
|
|
3038 |
|
|
3039 lhs_dims.resize (n_idx); |
|
|
3040 |
|
|
3041 lhs_dims_len = lhs_dims.length (); |
|
|
3042 } |
|
|
3043 |
|
|
3044 // Resize. |
|
|
3045 |
|
|
3046 dim_vector new_dims; |
|
|
3047 new_dims.resize (n_idx); |
|
|
3048 |
|
5264
|
3049 if (orig_empty) |
|
4747
|
3050 { |
|
5264
|
3051 int k = 0; |
|
|
3052 for (int i = 0; i < n_idx; i++) |
|
4746
|
3053 { |
|
4747
|
3054 // If index is a colon, resizing to RHS dimensions is |
|
|
3055 // allowed because we started out empty. |
|
4746
|
3056 |
|
5264
|
3057 if (idx(i).is_colon ()) |
|
|
3058 { |
|
|
3059 if (k < rhs_dims.length ()) |
|
|
3060 new_dims(i) = rhs_dims(k++); |
|
|
3061 else |
|
5379
|
3062 new_dims(i) = 1; |
|
|
3063 } |
|
|
3064 else |
|
|
3065 { |
|
|
3066 octave_idx_type nelem = idx(i).capacity (); |
|
|
3067 |
|
|
3068 if (nelem >= 1 |
|
6388
|
3069 && ((k < rhs_dims.length () && nelem == rhs_dims(k)) |
|
|
3070 || rhs_is_scalar)) |
|
5379
|
3071 k++; |
|
6388
|
3072 else if (! (nelem == 1 || rhs_is_scalar)) |
|
5264
|
3073 { |
|
|
3074 (*current_liboctave_error_handler) |
|
5379
|
3075 ("A(IDX-LIST) = RHS: mismatched index and RHS dimension"); |
|
5264
|
3076 return retval; |
|
|
3077 } |
|
5379
|
3078 |
|
6388
|
3079 new_dims(i) = idx(i).orig_empty () ? 0 : idx(i).max () + 1; |
|
5264
|
3080 } |
|
4746
|
3081 } |
|
5264
|
3082 } |
|
|
3083 else |
|
|
3084 { |
|
|
3085 for (int i = 0; i < n_idx; i++) |
|
4746
|
3086 { |
|
4747
|
3087 // We didn't start out with all zero dimensions, so if |
|
|
3088 // index is a colon, it refers to the current LHS |
|
|
3089 // dimension. Otherwise, it is OK to enlarge to a |
|
5264
|
3090 // dimension given by the largest index, but if that |
|
4898
|
3091 // index is a colon the new dimension is singleton. |
|
4749
|
3092 |
|
|
3093 if (i < lhs_dims_len |
|
6481
|
3094 && (idx(i).is_colon () |
|
|
3095 || idx(i).orig_empty () |
|
|
3096 || idx(i).max () < lhs_dims(i))) |
|
4749
|
3097 new_dims(i) = lhs_dims(i); |
|
|
3098 else if (! idx(i).is_colon ()) |
|
|
3099 new_dims(i) = idx(i).max () + 1; |
|
|
3100 else |
|
4898
|
3101 new_dims(i) = 1; |
|
4745
|
3102 } |
|
4747
|
3103 } |
|
|
3104 |
|
4749
|
3105 if (retval != 0) |
|
4747
|
3106 { |
|
4749
|
3107 if (! orig_empty |
|
|
3108 && n_idx < orig_lhs_dims_len |
|
|
3109 && new_dims(n_idx-1) != lhs_dims(n_idx-1)) |
|
4702
|
3110 { |
|
4749
|
3111 // We reshaped and the last dimension changed. This has to |
|
|
3112 // be an error, because we don't know how to undo that |
|
|
3113 // later... |
|
|
3114 |
|
|
3115 (*current_liboctave_error_handler) |
|
|
3116 ("array index %d (= %d) for assignment requires invalid resizing operation", |
|
|
3117 n_idx, new_dims(n_idx-1)); |
|
|
3118 |
|
|
3119 retval = 0; |
|
4743
|
3120 } |
|
|
3121 else |
|
|
3122 { |
|
5052
|
3123 // Determine final dimensions for LHS and reset the |
|
|
3124 // current size of the LHS. Note that we delay actually |
|
|
3125 // resizing LHS until we know that the assignment will |
|
|
3126 // succeed. |
|
|
3127 |
|
4749
|
3128 if (n_idx < orig_lhs_dims_len) |
|
4743
|
3129 { |
|
4749
|
3130 for (int i = 0; i < n_idx-1; i++) |
|
|
3131 final_lhs_dims(i) = new_dims(i); |
|
4747
|
3132 } |
|
|
3133 else |
|
4749
|
3134 final_lhs_dims = new_dims; |
|
|
3135 |
|
5837
|
3136 lhs_dims_len = new_dims.length (); |
|
|
3137 |
|
|
3138 frozen_len = freeze (idx, new_dims, true); |
|
4749
|
3139 |
|
6141
|
3140 for (int i = 0; i < idx.length (); i++) |
|
|
3141 { |
|
|
3142 if (! idx(i)) |
|
|
3143 { |
|
|
3144 retval = 0; |
|
|
3145 lhs.clear_index (); |
|
|
3146 return retval; |
|
|
3147 } |
|
|
3148 } |
|
|
3149 |
|
4749
|
3150 if (rhs_is_scalar) |
|
4747
|
3151 { |
|
5837
|
3152 if (n_idx < orig_lhs_dims_len) |
|
|
3153 lhs = lhs.reshape (lhs_dims); |
|
|
3154 |
|
5052
|
3155 lhs.resize_and_fill (new_dims, rfv); |
|
|
3156 |
|
4747
|
3157 if (! final_lhs_dims.any_zero ()) |
|
|
3158 { |
|
4749
|
3159 RT scalar = rhs.elem (0); |
|
|
3160 |
|
6388
|
3161 if (n_idx == 1) |
|
|
3162 { |
|
|
3163 idx_vector iidx = idx(0); |
|
|
3164 |
|
|
3165 octave_idx_type len = frozen_len(0); |
|
|
3166 |
|
|
3167 for (octave_idx_type i = 0; i < len; i++) |
|
|
3168 { |
|
|
3169 octave_idx_type ii = iidx.elem (i); |
|
|
3170 |
|
|
3171 lhs.elem (ii) = scalar; |
|
|
3172 } |
|
|
3173 } |
|
|
3174 else if (lhs_dims_len == 2 && n_idx == 2) |
|
4747
|
3175 { |
|
6388
|
3176 idx_vector idx_i = idx(0); |
|
|
3177 idx_vector idx_j = idx(1); |
|
|
3178 |
|
|
3179 octave_idx_type i_len = frozen_len(0); |
|
|
3180 octave_idx_type j_len = frozen_len(1); |
|
|
3181 |
|
|
3182 for (octave_idx_type j = 0; j < j_len; j++) |
|
|
3183 { |
|
|
3184 octave_idx_type jj = idx_j.elem (j); |
|
|
3185 for (octave_idx_type i = 0; i < i_len; i++) |
|
|
3186 { |
|
|
3187 octave_idx_type ii = idx_i.elem (i); |
|
|
3188 lhs.elem (ii, jj) = scalar; |
|
|
3189 } |
|
|
3190 } |
|
|
3191 } |
|
|
3192 else |
|
|
3193 { |
|
|
3194 octave_idx_type n = Array<LT>::get_size (frozen_len); |
|
|
3195 |
|
|
3196 Array<octave_idx_type> result_idx (lhs_dims_len, 0); |
|
|
3197 |
|
|
3198 for (octave_idx_type i = 0; i < n; i++) |
|
|
3199 { |
|
|
3200 Array<octave_idx_type> elt_idx = get_elt_idx (idx, result_idx); |
|
|
3201 |
|
|
3202 lhs.elem (elt_idx) = scalar; |
|
|
3203 |
|
|
3204 increment_index (result_idx, frozen_len); |
|
|
3205 } |
|
4747
|
3206 } |
|
|
3207 } |
|
4743
|
3208 } |
|
4749
|
3209 else |
|
|
3210 { |
|
|
3211 // RHS is matrix or higher dimension. |
|
|
3212 |
|
5275
|
3213 octave_idx_type n = Array<LT>::get_size (frozen_len); |
|
5264
|
3214 |
|
|
3215 if (n != rhs.numel ()) |
|
4749
|
3216 { |
|
|
3217 (*current_liboctave_error_handler) |
|
|
3218 ("A(IDX-LIST) = X: X must be a scalar or size of X must equal number of elements indexed by IDX-LIST"); |
|
|
3219 |
|
|
3220 retval = 0; |
|
|
3221 } |
|
|
3222 else |
|
|
3223 { |
|
5837
|
3224 if (n_idx < orig_lhs_dims_len) |
|
|
3225 lhs = lhs.reshape (lhs_dims); |
|
|
3226 |
|
5052
|
3227 lhs.resize_and_fill (new_dims, rfv); |
|
|
3228 |
|
4749
|
3229 if (! final_lhs_dims.any_zero ()) |
|
|
3230 { |
|
6388
|
3231 if (n_idx == 1) |
|
|
3232 { |
|
|
3233 idx_vector iidx = idx(0); |
|
|
3234 |
|
|
3235 octave_idx_type len = frozen_len(0); |
|
|
3236 |
|
|
3237 for (octave_idx_type i = 0; i < len; i++) |
|
|
3238 { |
|
|
3239 octave_idx_type ii = iidx.elem (i); |
|
|
3240 |
|
|
3241 lhs.elem (ii) = rhs.elem (i); |
|
|
3242 } |
|
|
3243 } |
|
|
3244 else if (lhs_dims_len == 2 && n_idx == 2) |
|
4749
|
3245 { |
|
6388
|
3246 idx_vector idx_i = idx(0); |
|
|
3247 idx_vector idx_j = idx(1); |
|
|
3248 |
|
|
3249 octave_idx_type i_len = frozen_len(0); |
|
|
3250 octave_idx_type j_len = frozen_len(1); |
|
|
3251 octave_idx_type k = 0; |
|
|
3252 |
|
|
3253 for (octave_idx_type j = 0; j < j_len; j++) |
|
|
3254 { |
|
|
3255 octave_idx_type jj = idx_j.elem (j); |
|
|
3256 for (octave_idx_type i = 0; i < i_len; i++) |
|
|
3257 { |
|
|
3258 octave_idx_type ii = idx_i.elem (i); |
|
|
3259 lhs.elem (ii, jj) = rhs.elem (k++); |
|
|
3260 } |
|
|
3261 } |
|
|
3262 } |
|
|
3263 else |
|
|
3264 { |
|
|
3265 n = Array<LT>::get_size (frozen_len); |
|
|
3266 |
|
|
3267 Array<octave_idx_type> result_idx (lhs_dims_len, 0); |
|
|
3268 |
|
|
3269 for (octave_idx_type i = 0; i < n; i++) |
|
|
3270 { |
|
|
3271 Array<octave_idx_type> elt_idx = get_elt_idx (idx, result_idx); |
|
|
3272 |
|
|
3273 lhs.elem (elt_idx) = rhs.elem (i); |
|
|
3274 |
|
|
3275 increment_index (result_idx, frozen_len); |
|
|
3276 } |
|
4749
|
3277 } |
|
|
3278 } |
|
|
3279 } |
|
|
3280 } |
|
4743
|
3281 } |
|
4517
|
3282 } |
|
4745
|
3283 |
|
5632
|
3284 lhs.clear_index (); |
|
|
3285 |
|
5052
|
3286 if (retval != 0) |
|
5516
|
3287 lhs = lhs.reshape (final_lhs_dims); |
|
4517
|
3288 } |
|
|
3289 |
|
5052
|
3290 if (retval != 0) |
|
|
3291 lhs.chop_trailing_singletons (); |
|
4757
|
3292 |
|
4517
|
3293 lhs.clear_index (); |
|
|
3294 |
|
|
3295 return retval; |
|
|
3296 } |
|
|
3297 |
|
|
3298 template <class T> |
|
|
3299 void |
|
3933
|
3300 Array<T>::print_info (std::ostream& os, const std::string& prefix) const |
|
|
3301 { |
|
|
3302 os << prefix << "rep address: " << rep << "\n" |
|
|
3303 << prefix << "rep->len: " << rep->len << "\n" |
|
|
3304 << prefix << "rep->data: " << static_cast<void *> (rep->data) << "\n" |
|
|
3305 << prefix << "rep->count: " << rep->count << "\n"; |
|
4513
|
3306 |
|
|
3307 // 2D info: |
|
|
3308 // |
|
4657
|
3309 // << pefix << "rows: " << rows () << "\n" |
|
4513
|
3310 // << prefix << "cols: " << cols () << "\n"; |
|
3933
|
3311 } |
|
|
3312 |
|
237
|
3313 /* |
|
|
3314 ;;; Local Variables: *** |
|
|
3315 ;;; mode: C++ *** |
|
|
3316 ;;; End: *** |
|
|
3317 */ |
