Mercurial > octave
annotate libinterp/corefcn/find.cc @ 23582:0cc2011d800e
maint: Deprecate is_real_type and replace with isreal.
* ov.h (is_real_type): Use OCTAVE_DEPRECATED macro around function.
* ov.h (isreal): New function.
* QtHandlesUtils.cc, __luinc__.cc, bsxfun.cc, cellfun.cc, conv2.cc, data.cc,
det.cc, eig.cc, ellipj.cc, fft.cc, fft2.cc, fftn.cc, find.cc, graphics.cc,
graphics.in.h, gsvd.cc, hess.cc, inv.cc, lu.cc, mex.cc, oct-stream.cc, pinv.cc,
psi.cc, qz.cc, schur.cc, svd.cc, typecast.cc, chol.cc, dmperm.cc, qr.cc,
symbfact.cc, symrcm.cc, ov-base-int.h, ov-base.h, ov-bool-mat.h,
ov-bool-sparse.h, ov-bool.h, ov-ch-mat.h, ov-float.h, ov-flt-re-diag.h,
ov-flt-re-mat.h, ov-java.cc, ov-lazy-idx.h, ov-perm.h, ov-range.h,
ov-re-diag.h, ov-re-mat.h, ov-re-sparse.h, ov-scalar.h, pt-tm-const.cc:
Replace instances of is_real_type with isreal.
author | Rik <rik@octave.org> |
---|---|
date | Tue, 13 Jun 2017 07:53:53 -0700 |
parents | c3075ae020e1 |
children | b7747a2c88b2 |
rev | line source |
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2928 | 1 /* |
2 | |
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3 Copyright (C) 1996-2017 John W. Eaton |
2928 | 4 |
5 This file is part of Octave. | |
6 | |
7 Octave is free software; you can redistribute it and/or modify it | |
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8 under the terms of the GNU General Public License as published by |
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9 the Free Software Foundation; either version 3 of the License, or |
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10 (at your option) any later version. |
2928 | 11 |
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12 Octave is distributed in the hope that it will be useful, but |
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13 WITHOUT ANY WARRANTY; without even the implied warranty of |
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14 MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
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15 GNU General Public License for more details. |
2928 | 16 |
17 You should have received a copy of the GNU General Public License | |
7016 | 18 along with Octave; see the file COPYING. If not, see |
19 <http://www.gnu.org/licenses/>. | |
2928 | 20 |
21 */ | |
22 | |
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23 #if defined (HAVE_CONFIG_H) |
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24 # include "config.h" |
2928 | 25 #endif |
26 | |
4153 | 27 #include "quit.h" |
28 | |
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29 #include "defun.h" |
2928 | 30 #include "error.h" |
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31 #include "errwarn.h" |
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32 #include "ovl.h" |
2928 | 33 |
6002 | 34 // Find at most N_TO_FIND nonzero elements in NDA. Search forward if |
35 // DIRECTION is 1, backward if it is -1. NARGOUT is the number of | |
36 // output arguments. If N_TO_FIND is -1, find all nonzero elements. | |
4678 | 37 |
38 template <typename T> | |
39 octave_value_list | |
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40 find_nonzero_elem_idx (const Array<T>& nda, int nargout, |
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41 octave_idx_type n_to_find, int direction) |
4678 | 42 { |
6002 | 43 octave_value_list retval ((nargout == 0 ? 1 : nargout), Matrix ()); |
4678 | 44 |
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45 Array<octave_idx_type> idx; |
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46 if (n_to_find >= 0) |
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47 idx = nda.find (n_to_find, direction == -1); |
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48 else |
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49 idx = nda.find (); |
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51 // The maximum element is always at the end. |
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52 octave_idx_type iext = (idx.isempty () ? 0 : idx.xelem (idx.numel () - 1) + 1); |
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53 |
2928 | 54 switch (nargout) |
55 { | |
6254 | 56 default: |
2928 | 57 case 3: |
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58 retval(2) = Array<T> (nda.index (idx_vector (idx))); |
2928 | 59 // Fall through! |
60 | |
61 case 2: | |
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62 { |
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63 Array<octave_idx_type> jdx (idx.dims ()); |
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64 octave_idx_type n = idx.numel (); |
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65 octave_idx_type nr = nda.rows (); |
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66 for (octave_idx_type i = 0; i < n; i++) |
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67 { |
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68 jdx.xelem (i) = idx.xelem (i) / nr; |
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69 idx.xelem (i) %= nr; |
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70 } |
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71 iext = -1; |
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72 retval(1) = idx_vector (jdx, -1); |
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73 } |
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74 // Fall through! |
2928 | 75 |
6254 | 76 case 1: |
77 case 0: | |
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78 retval(0) = idx_vector (idx, iext); |
2928 | 79 break; |
80 } | |
81 | |
82 return retval; | |
83 } | |
84 | |
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85 template <typename T> |
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86 octave_value_list |
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87 find_nonzero_elem_idx (const Sparse<T>& v, int nargout, |
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88 octave_idx_type n_to_find, int direction) |
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89 { |
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90 nargout = std::min (nargout, 5); |
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91 octave_value_list retval ((nargout == 0 ? 1 : nargout), Matrix ()); |
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92 |
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93 octave_idx_type nr = v.rows (); |
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94 octave_idx_type nc = v.cols (); |
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95 octave_idx_type nz = v.nnz (); |
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96 |
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97 // Search in the default range. |
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98 octave_idx_type start_nc = -1; |
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99 octave_idx_type end_nc = -1; |
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100 octave_idx_type count; |
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101 |
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102 // Search for the range to search |
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103 if (n_to_find < 0) |
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104 { |
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105 start_nc = 0; |
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106 end_nc = nc; |
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107 n_to_find = nz; |
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108 count = nz; |
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109 } |
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110 else if (direction > 0) |
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111 { |
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112 for (octave_idx_type j = 0; j < nc; j++) |
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113 { |
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114 octave_quit (); |
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115 |
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116 if (v.cidx (j) == 0 && v.cidx (j+1) != 0) |
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117 start_nc = j; |
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118 if (v.cidx (j+1) >= n_to_find) |
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119 { |
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120 end_nc = j + 1; |
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121 break; |
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122 } |
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123 } |
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124 } |
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125 else |
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126 { |
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127 for (octave_idx_type j = nc; j > 0; j--) |
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128 { |
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129 octave_quit (); |
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130 |
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131 if (v.cidx (j) == nz && v.cidx (j-1) != nz) |
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132 end_nc = j; |
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133 if (nz - v.cidx (j-1) >= n_to_find) |
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134 { |
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135 start_nc = j - 1; |
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136 break; |
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137 } |
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138 } |
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139 } |
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140 |
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141 count = (n_to_find > v.cidx (end_nc) - v.cidx (start_nc) ? |
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142 v.cidx (end_nc) - v.cidx (start_nc) : n_to_find); |
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143 |
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144 octave_idx_type result_nr; |
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145 octave_idx_type result_nc; |
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146 |
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147 // Default case is to return a column vector, however, if the original |
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148 // argument was a row vector, then force return of a row vector. |
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149 if (nr == 1) |
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150 { |
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151 result_nr = 1; |
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152 result_nc = count; |
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153 } |
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154 else |
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155 { |
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156 result_nr = count; |
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157 result_nc = 1; |
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158 } |
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159 |
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160 Matrix idx (result_nr, result_nc); |
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161 |
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162 Matrix i_idx (result_nr, result_nc); |
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163 Matrix j_idx (result_nr, result_nc); |
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164 |
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165 Array<T> val (dim_vector (result_nr, result_nc)); |
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166 |
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167 if (count > 0) |
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168 { |
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169 // Search for elements to return. Only search the region where there |
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170 // are elements to be found using the count that we want to find. |
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171 for (octave_idx_type j = start_nc, cx = 0; j < end_nc; j++) |
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172 for (octave_idx_type i = v.cidx (j); i < v.cidx (j+1); i++) |
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173 { |
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174 octave_quit (); |
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175 |
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176 if (direction < 0 && i < nz - count) |
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177 continue; |
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178 i_idx(cx) = static_cast<double> (v.ridx (i) + 1); |
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179 j_idx(cx) = static_cast<double> (j + 1); |
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180 idx(cx) = j * nr + v.ridx (i) + 1; |
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181 val(cx) = v.data(i); |
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182 cx++; |
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183 if (cx == count) |
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184 break; |
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185 } |
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186 } |
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187 else |
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188 { |
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189 // No items found. Fixup return dimensions for Matlab compatibility. |
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190 // The behavior to match is documented in Array.cc (Array<T>::find). |
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191 if ((nr == 0 && nc == 0) || (nr == 1 && nc == 1)) |
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192 { |
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193 idx.resize (0, 0); |
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194 |
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195 i_idx.resize (0, 0); |
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196 j_idx.resize (0, 0); |
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197 |
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198 val.resize (dim_vector (0, 0)); |
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199 } |
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200 } |
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201 |
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202 switch (nargout) |
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203 { |
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204 case 0: |
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205 case 1: |
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206 retval(0) = idx; |
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207 break; |
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208 |
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209 case 5: |
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210 retval(4) = nc; |
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211 // Fall through |
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212 |
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213 case 4: |
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214 retval(3) = nr; |
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215 // Fall through |
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216 |
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217 case 3: |
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218 retval(2) = val; |
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219 // Fall through! |
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220 |
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221 case 2: |
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222 retval(1) = j_idx; |
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223 retval(0) = i_idx; |
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224 } |
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225 |
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226 return retval; |
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227 } |
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228 |
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229 octave_value_list |
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230 find_nonzero_elem_idx (const PermMatrix& v, int nargout, |
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231 octave_idx_type n_to_find, int direction) |
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232 { |
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233 // There are far fewer special cases to handle for a PermMatrix. |
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234 nargout = std::min (nargout, 5); |
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235 octave_value_list retval ((nargout == 0 ? 1 : nargout), Matrix ()); |
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236 |
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237 octave_idx_type nr = v.rows (); |
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238 octave_idx_type nc = v.cols (); |
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239 octave_idx_type start_nc, count; |
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240 |
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241 // Determine the range to search. |
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242 if (n_to_find < 0 || n_to_find >= nc) |
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243 { |
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244 start_nc = 0; |
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245 count = nc; |
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246 } |
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247 else if (direction > 0) |
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248 { |
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249 start_nc = 0; |
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250 count = n_to_find; |
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251 } |
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252 else |
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253 { |
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254 start_nc = nc - n_to_find; |
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255 count = n_to_find; |
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256 } |
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257 |
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258 Matrix idx (count, 1); |
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259 Matrix i_idx (count, 1); |
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260 Matrix j_idx (count, 1); |
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261 // Every value is 1. |
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262 Array<double> val (dim_vector (count, 1), 1.0); |
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263 |
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264 if (count > 0) |
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265 { |
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266 const Array<octave_idx_type>& p = v.col_perm_vec (); |
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267 for (octave_idx_type k = 0; k < count; k++) |
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268 { |
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269 octave_quit (); |
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270 |
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271 const octave_idx_type j = start_nc + k; |
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272 const octave_idx_type i = p(j); |
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273 i_idx(k) = static_cast<double> (1+i); |
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274 j_idx(k) = static_cast<double> (1+j); |
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275 idx(k) = j * nc + i + 1; |
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276 } |
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277 } |
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278 else |
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279 { |
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280 // FIXME: Is this case even possible? A scalar permutation matrix seems |
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281 // to devolve to a scalar full matrix, at least from the Octave command |
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282 // line. Perhaps this function could be called internally from C++ with |
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283 // such a matrix. |
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284 // No items found. Fixup return dimensions for Matlab compatibility. |
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285 // The behavior to match is documented in Array.cc (Array<T>::find). |
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286 if ((nr == 0 && nc == 0) || (nr == 1 && nc == 1)) |
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287 { |
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288 idx.resize (0, 0); |
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289 |
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290 i_idx.resize (0, 0); |
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291 j_idx.resize (0, 0); |
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292 |
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293 val.resize (dim_vector (0, 0)); |
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294 } |
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295 } |
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296 |
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297 switch (nargout) |
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298 { |
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299 case 0: |
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300 case 1: |
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301 retval(0) = idx; |
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302 break; |
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303 |
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304 case 5: |
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305 retval(4) = nc; |
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306 // Fall through |
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307 |
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308 case 4: |
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309 retval(3) = nc; |
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310 // Fall through |
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311 |
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312 case 3: |
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313 retval(2) = val; |
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314 // Fall through! |
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315 |
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316 case 2: |
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317 retval(1) = j_idx; |
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318 retval(0) = i_idx; |
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319 } |
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320 |
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321 return retval; |
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322 } |
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323 |
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324 DEFUN (find, args, nargout, |
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325 doc: /* -*- texinfo -*- |
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326 @deftypefn {} {@var{idx} =} find (@var{x}) |
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327 @deftypefnx {} {@var{idx} =} find (@var{x}, @var{n}) |
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328 @deftypefnx {} {@var{idx} =} find (@var{x}, @var{n}, @var{direction}) |
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329 @deftypefnx {} {[i, j] =} find (@dots{}) |
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330 @deftypefnx {} {[i, j, v] =} find (@dots{}) |
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331 Return a vector of indices of nonzero elements of a matrix, as a row if |
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332 @var{x} is a row vector or as a column otherwise. |
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333 |
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334 To obtain a single index for each matrix element, Octave pretends that the |
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335 columns of a matrix form one long vector (like Fortran arrays are stored). |
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336 For example: |
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337 |
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338 @example |
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339 @group |
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340 find (eye (2)) |
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341 @result{} [ 1; 4 ] |
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342 @end group |
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343 @end example |
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344 |
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345 If two inputs are given, @var{n} indicates the maximum number of elements to |
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346 find from the beginning of the matrix or vector. |
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347 |
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348 If three inputs are given, @var{direction} should be one of |
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349 @qcode{"first"} or @qcode{"last"}, requesting only the first or last |
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350 @var{n} indices, respectively. However, the indices are always returned in |
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351 ascending order. |
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352 |
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353 If two outputs are requested, @code{find} returns the row and column |
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354 indices of nonzero elements of a matrix. For example: |
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355 |
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356 @example |
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357 @group |
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358 [i, j] = find (2 * eye (2)) |
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359 @result{} i = [ 1; 2 ] |
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360 @result{} j = [ 1; 2 ] |
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361 @end group |
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362 @end example |
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363 |
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364 If three outputs are requested, @code{find} also returns a vector |
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365 containing the nonzero values. For example: |
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366 |
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367 @example |
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368 @group |
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369 [i, j, v] = find (3 * eye (2)) |
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370 @result{} i = [ 1; 2 ] |
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371 @result{} j = [ 1; 2 ] |
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372 @result{} v = [ 3; 3 ] |
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373 @end group |
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374 @end example |
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375 |
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376 Note that this function is particularly useful for sparse matrices, as |
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377 it extracts the nonzero elements as vectors, which can then be used to |
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378 create the original matrix. For example: |
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379 |
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380 @example |
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381 @group |
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382 sz = size (a); |
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383 [i, j, v] = find (a); |
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384 b = sparse (i, j, v, sz(1), sz(2)); |
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385 @end group |
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386 @end example |
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387 @seealso{nonzeros} |
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388 @end deftypefn */) |
2928 | 389 { |
390 int nargin = args.length (); | |
391 | |
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392 if (nargin < 1 || nargin > 3) |
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393 print_usage (); |
2928 | 394 |
6002 | 395 // Setup the default options. |
396 octave_idx_type n_to_find = -1; | |
397 if (nargin > 1) | |
398 { | |
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399 double val = args(1).xscalar_value ("find: N must be an integer"); |
9310 | 400 |
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401 if (val < 0 || (! octave::math::isinf (val) |
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402 && val != octave::math::round (val))) |
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403 error ("find: N must be a non-negative integer"); |
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404 else if (! octave::math::isinf (val)) |
9310 | 405 n_to_find = val; |
6002 | 406 } |
407 | |
408 // Direction to do the searching (1 == forward, -1 == reverse). | |
409 int direction = 1; | |
410 if (nargin > 2) | |
411 { | |
412 direction = 0; | |
413 | |
414 std::string s_arg = args(2).string_value (); | |
415 | |
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416 if (s_arg == "first") |
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417 direction = 1; |
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418 else if (s_arg == "last") |
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419 direction = -1; |
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420 else |
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421 error ("find: DIRECTION must be \"first\" or \"last\""); |
6002 | 422 } |
423 | |
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424 octave_value_list retval; |
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425 |
2928 | 426 octave_value arg = args(0); |
427 | |
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428 if (arg.islogical ()) |
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429 { |
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430 if (arg.is_sparse_type ()) |
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431 { |
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432 SparseBoolMatrix v = arg.sparse_bool_matrix_value (); |
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433 |
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434 retval = find_nonzero_elem_idx (v, nargout, n_to_find, direction); |
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435 } |
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436 else if (nargout <= 1 && n_to_find == -1 && direction == 1) |
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437 { |
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438 // This case is equivalent to extracting indices from a logical |
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439 // matrix. Try to reuse the possibly cached index vector. |
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440 |
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441 // No need to catch index_exception, since arg is bool. |
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442 // Out-of-range errors have already set pos, and will be caught later. |
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443 retval(0) = arg.index_vector ().unmask (); |
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444 } |
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445 else |
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446 { |
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447 boolNDArray v = arg.bool_array_value (); |
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448 |
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449 retval = find_nonzero_elem_idx (v, nargout, n_to_find, direction); |
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450 } |
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451 } |
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452 else if (arg.isinteger ()) |
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453 { |
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454 #define DO_INT_BRANCH(INTT) \ |
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455 else if (arg.is_ ## INTT ## _type ()) \ |
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456 { \ |
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457 INTT ## NDArray v = arg.INTT ## _array_value (); \ |
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458 \ |
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459 retval = find_nonzero_elem_idx (v, nargout, n_to_find, direction); \ |
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460 } |
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461 |
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462 if (false) |
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463 ; |
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464 DO_INT_BRANCH (int8) |
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465 DO_INT_BRANCH (int16) |
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466 DO_INT_BRANCH (int32) |
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467 DO_INT_BRANCH (int64) |
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468 DO_INT_BRANCH (uint8) |
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469 DO_INT_BRANCH (uint16) |
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470 DO_INT_BRANCH (uint32) |
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471 DO_INT_BRANCH (uint64) |
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472 else |
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473 panic_impossible (); |
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474 } |
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475 else if (arg.is_sparse_type ()) |
2928 | 476 { |
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|
477 if (arg.isreal ()) |
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478 { |
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479 SparseMatrix v = arg.sparse_matrix_value (); |
2928 | 480 |
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481 retval = find_nonzero_elem_idx (v, nargout, n_to_find, direction); |
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482 } |
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483 else if (arg.iscomplex ()) |
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484 { |
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485 SparseComplexMatrix v = arg.sparse_complex_matrix_value (); |
5107 | 486 |
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487 retval = find_nonzero_elem_idx (v, nargout, n_to_find, direction); |
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488 } |
11586
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489 else |
21100
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Switch gripe_XXX to either err_XXX or warn_XXX naming scheme.
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diff
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|
490 err_wrong_type_arg ("find", arg); |
5107 | 491 } |
10550 | 492 else if (arg.is_perm_matrix ()) |
493 { | |
494 PermMatrix P = arg.perm_matrix_value (); | |
8955
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Add an override to Octave's find() for permutation matrices.
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|
495 |
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496 retval = find_nonzero_elem_idx (P, nargout, n_to_find, direction); |
10550 | 497 } |
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498 else if (arg.is_string ()) |
2928 | 499 { |
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500 charNDArray chnda = arg.char_array_value (); |
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501 |
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502 retval = find_nonzero_elem_idx (chnda, nargout, n_to_find, direction); |
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503 } |
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504 else if (arg.is_single_type ()) |
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505 { |
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506 if (arg.isreal ()) |
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507 { |
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508 FloatNDArray nda = arg.float_array_value (); |
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509 |
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510 retval = find_nonzero_elem_idx (nda, nargout, n_to_find, direction); |
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511 } |
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512 else if (arg.iscomplex ()) |
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513 { |
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514 FloatComplexNDArray cnda = arg.float_complex_array_value (); |
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515 |
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516 retval = find_nonzero_elem_idx (cnda, nargout, n_to_find, direction); |
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517 } |
2928 | 518 } |
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519 else if (arg.isreal ()) |
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520 { |
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521 NDArray nda = arg.array_value (); |
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522 |
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523 retval = find_nonzero_elem_idx (nda, nargout, n_to_find, direction); |
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524 } |
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525 else if (arg.iscomplex ()) |
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|
526 { |
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527 ComplexNDArray cnda = arg.complex_array_value (); |
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528 |
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529 retval = find_nonzero_elem_idx (cnda, nargout, n_to_find, direction); |
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530 } |
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531 else |
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532 err_wrong_type_arg ("find", arg); |
2928 | 533 |
534 return retval; | |
535 } | |
536 | |
537 /* | |
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538 %!assert (find (char ([0, 97])), 2) |
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539 %!assert (find ([1, 0, 1, 0, 1]), [1, 3, 5]) |
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540 %!assert (find ([1; 0; 3; 0; 1]), [1; 3; 5]) |
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541 %!assert (find ([0, 0, 2; 0, 3, 0; -1, 0, 0]), [3; 5; 7]) |
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542 |
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543 %!test |
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544 %! [i, j, v] = find ([0, 0, 2; 0, 3, 0; -1, 0, 0]); |
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545 %! |
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546 %! assert (i, [3; 2; 1]); |
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547 %! assert (j, [1; 2; 3]); |
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548 %! assert (v, [-1; 3; 2]); |
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549 |
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550 %!assert (find (single ([1, 0, 1, 0, 1])), [1, 3, 5]) |
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551 %!assert (find (single ([1; 0; 3; 0; 1])), [1; 3; 5]) |
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552 %!assert (find (single ([0, 0, 2; 0, 3, 0; -1, 0, 0])), [3; 5; 7]) |
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553 |
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554 %!test |
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555 %! [i, j, v] = find (single ([0, 0, 2; 0, 3, 0; -1, 0, 0])); |
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556 %! |
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557 %! assert (i, [3; 2; 1]); |
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558 %! assert (j, [1; 2; 3]); |
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559 %! assert (v, single ([-1; 3; 2])); |
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560 |
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561 %!test |
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562 %! pcol = [5 1 4 3 2]; |
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563 %! P = eye (5) (:, pcol); |
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564 %! [i, j, v] = find (P); |
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565 %! [ifull, jfull, vfull] = find (full (P)); |
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566 %! assert (i, ifull); |
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567 %! assert (j, jfull); |
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568 %! assert (all (v == 1)); |
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569 |
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570 %!test |
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571 %! prow = [5 1 4 3 2]; |
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572 %! P = eye (5) (prow, :); |
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573 %! [i, j, v] = find (P); |
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574 %! [ifull, jfull, vfull] = find (full (P)); |
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575 %! assert (i, ifull); |
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576 %! assert (j, jfull); |
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577 %! assert (all (v == 1)); |
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578 |
9310 | 579 %!assert (find ([2 0 1 0 5 0], 1), 1) |
580 %!assert (find ([2 0 1 0 5 0], 2, "last"), [3, 5]) | |
581 | |
582 %!assert (find ([2 0 1 0 5 0], Inf), [1, 3, 5]) | |
583 %!assert (find ([2 0 1 0 5 0], Inf, "last"), [1, 3, 5]) | |
584 | |
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585 %!error find () |
2928 | 586 */ |