Mercurial > octave
annotate libinterp/corefcn/lookup.cc @ 24548:a00033be2134
Clean up lookup() code and documentation with no functional changes (bug #52785).
* lookup.cc (icmp_char_lt): Remove. Case insensitivity no longer an option.
(icmp_char_gt): Ditto.
(stri_comp_lt): Ditto.
(stri_comp_gt): Ditto.
(Flookup): In docstring, move definition N sooner, drop @code{} command
from around its use and make all instances upper case. In the docstring,
add "minus" prior to "infinity" for the 'l' option description. Drop a
redundant test on local variable 'match_idx'.
author | Daniel J Sebald <daniel.sebald@ieee.org> |
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date | Sat, 06 Jan 2018 17:07:37 -0600 |
parents | 194eb4bd202b |
children | 6652d3823428 |
rev | line source |
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1 /* |
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2 |
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3 Copyright (C) 2008-2017 VZLU Prague a.s., Czech Republic |
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4 |
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5 This file is part of Octave. |
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6 |
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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. |
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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. |
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16 |
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17 You should have received a copy of the GNU General Public License |
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18 along with Octave; see the file COPYING. If not, see |
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19 <https://www.gnu.org/licenses/>. |
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20 |
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21 */ |
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22 |
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23 // Author: Jaroslav Hajek <highegg@gmail.com> |
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24 |
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25 #if defined (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 <cctype> |
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30 #include <functional> |
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31 #include <algorithm> |
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32 |
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33 #include "dNDArray.h" |
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34 #include "CNDArray.h" |
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35 |
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36 #include "Cell.h" |
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37 #include "defun.h" |
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38 #include "error.h" |
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39 #include "errwarn.h" |
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40 #include "ovl.h" |
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41 #include "ov.h" |
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42 |
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43 static |
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44 bool |
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45 contains_char (const std::string& str, char c) |
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46 { |
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47 return (str.find (c) != std::string::npos |
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48 || str.find (std::toupper (c)) != std::string::npos); |
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49 } |
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50 |
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51 template <typename T> |
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52 inline sortmode |
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53 get_sort_mode (const Array<T>& array, |
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54 typename octave_sort<T>::compare_fcn_type desc_comp |
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55 = octave_sort<T>::descending_compare) |
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56 { |
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57 octave_idx_type n = array.numel (); |
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58 if (n > 1 && desc_comp (array (0), array (n-1))) |
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59 return DESCENDING; |
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60 else |
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61 return ASCENDING; |
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62 } |
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63 |
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64 // FIXME: perhaps there should be octave_value::lookup? |
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65 // The question is, how should it behave w.r.t. the second argument's type. |
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66 // We'd need a dispatch on two arguments. Hmmm... |
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67 |
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68 #define INT_ARRAY_LOOKUP(TYPE) \ |
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69 (table.is_ ## TYPE ## _type () && y.is_ ## TYPE ## _type ()) \ |
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70 retval = do_numeric_lookup (table.TYPE ## _array_value (), \ |
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71 y.TYPE ## _array_value (), \ |
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72 left_inf, right_inf, \ |
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73 match_idx, match_bool); |
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74 template <typename ArrayT> |
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75 static octave_value |
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76 do_numeric_lookup (const ArrayT& array, const ArrayT& values, |
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77 bool left_inf, bool right_inf, |
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78 bool match_idx, bool match_bool) |
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79 { |
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80 octave_value retval; |
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81 |
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82 Array<octave_idx_type> idx = array.lookup (values); |
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83 octave_idx_type n = array.numel (); |
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84 octave_idx_type nval = values.numel (); |
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85 |
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86 // Post-process. |
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87 if (match_bool) |
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88 { |
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89 boolNDArray match (idx.dims ()); |
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90 for (octave_idx_type i = 0; i < nval; i++) |
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91 { |
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92 octave_idx_type j = idx.xelem (i); |
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93 match.xelem (i) = j != 0 && values(i) == array(j-1); |
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94 } |
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95 |
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96 retval = match; |
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97 } |
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98 else if (match_idx || left_inf || right_inf) |
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99 { |
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100 if (match_idx) |
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101 { |
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102 NDArray ridx (idx.dims ()); |
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103 |
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104 for (octave_idx_type i = 0; i < nval; i++) |
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105 { |
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106 octave_idx_type j = idx.xelem (i); |
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107 ridx.xelem (i) = (j != 0 && values(i) == array(j-1)) ? j : 0; |
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108 } |
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109 |
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110 retval = ridx; |
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111 } |
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112 else if (left_inf && right_inf) |
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113 { |
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114 // Results in valid indices. Optimize using lazy index. |
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115 octave_idx_type zero = 0; |
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116 for (octave_idx_type i = 0; i < nval; i++) |
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117 { |
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118 octave_idx_type j = idx.xelem (i) - 1; |
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119 idx.xelem (i) = std::max (zero, std::min (j, n-2)); |
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120 } |
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121 |
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122 retval = idx_vector (idx); |
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123 } |
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124 else if (left_inf) |
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125 { |
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126 // Results in valid indices. Optimize using lazy index. |
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127 octave_idx_type zero = 0; |
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128 for (octave_idx_type i = 0; i < nval; i++) |
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129 { |
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130 octave_idx_type j = idx.xelem (i) - 1; |
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131 idx.xelem (i) = std::max (zero, j); |
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132 } |
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133 |
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134 retval = idx_vector (idx); |
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135 } |
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136 else if (right_inf) |
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137 { |
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138 NDArray ridx (idx.dims ()); |
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139 |
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140 for (octave_idx_type i = 0; i < nval; i++) |
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141 { |
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142 octave_idx_type j = idx.xelem (i); |
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143 ridx.xelem (i) = std::min (j, n-1); |
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144 } |
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145 |
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146 retval = ridx; |
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147 } |
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148 } |
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149 else |
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150 retval = idx; |
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151 |
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152 return retval; |
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153 } |
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154 |
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155 DEFUN (lookup, args, , |
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156 doc: /* -*- texinfo -*- |
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157 @deftypefn {} {@var{idx} =} lookup (@var{table}, @var{y}) |
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158 @deftypefnx {} {@var{idx} =} lookup (@var{table}, @var{y}, @var{opt}) |
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159 Lookup values in a @strong{sorted} table. |
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160 |
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161 This function is usually used as a prelude to interpolation. |
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162 |
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163 If table is increasing, of length N and @code{idx = lookup (table, y)}, then |
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164 @code{table(idx(i)) <= y(i) < table(idx(i+1))} for all @code{y(i)} within the |
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165 table. If @code{y(i) < table(1)} then @code{idx(i)} is 0. If |
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166 @code{y(i) >= table(end)} or @code{isnan (y(i))} then @code{idx(i)} is N. |
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167 |
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168 If the table is decreasing, then the tests are reversed. For non-strictly |
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169 monotonic tables, empty intervals are always skipped. The result is undefined |
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170 if @var{table} is not monotonic, or if @var{table} contains a NaN. |
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171 |
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172 The complexity of the lookup is O(M*log(N)) where M is the size of @var{y}. |
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173 In the special case when @var{y} is also sorted, the complexity is |
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174 O(min (M*log(N), M+N)). |
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175 |
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176 @var{table} and @var{y} can also be cell arrays of strings (or @var{y} can be a |
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177 single string). In this case, string lookup is performed using lexicographical |
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178 comparison. |
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179 |
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180 If @var{opts} is specified, it must be a string with letters indicating |
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181 additional options. |
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182 |
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183 @table @code |
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184 @item m |
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186 otherwise, @code{idx(i)} is zero. |
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187 |
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188 @item b |
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189 Boolean. @code{idx(i)} is a logical 1 or 0, indicating whether @code{y(i)} |
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190 is contained in table or not. |
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191 |
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192 @item l |
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193 Left. For numeric lookups the leftmost subinterval shall be extended to |
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194 minus infinity (i.e., all indices at least 1). |
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195 |
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196 @item r |
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197 Right. For numeric lookups the rightmost subinterval shall be extended to |
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198 infinity (i.e., all indices at most N-1). |
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199 @end table |
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200 |
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201 @strong{Note}: If @var{table} is not sorted the results from @code{lookup} |
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202 will be unpredictable. |
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203 @end deftypefn */) |
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204 { |
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205 int nargin = args.length (); |
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206 |
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207 if (nargin < 2 || nargin > 3) |
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208 print_usage (); |
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209 |
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210 octave_value table = args(0); |
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211 octave_value y = args(1); |
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212 if (table.ndims () > 2 || (table.columns () > 1 && table.rows () > 1)) |
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213 warning ("lookup: table is not a vector"); |
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214 |
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215 octave_value retval; |
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216 |
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217 bool num_case = ((table.isnumeric () && y.isnumeric ()) |
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218 || (table.is_char_matrix () && y.is_char_matrix ())); |
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219 bool str_case = table.iscellstr () && (y.is_string () || y.iscellstr ()); |
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220 bool left_inf = false; |
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221 bool right_inf = false; |
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222 bool match_idx = false; |
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223 bool match_bool = false; |
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224 |
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225 if (nargin == 3) |
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226 { |
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227 std::string opt = args(2).xstring_value ("lookup: OPT must be a string"); |
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228 left_inf = contains_char (opt, 'l'); |
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229 right_inf = contains_char (opt, 'r'); |
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230 match_idx = contains_char (opt, 'm'); |
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231 match_bool = contains_char (opt, 'b'); |
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232 if (opt.find_first_not_of ("lrmb") != std::string::npos) |
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233 error ("lookup: unrecognized option: %c", |
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234 opt[opt.find_first_not_of ("lrmb")]); |
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235 } |
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236 |
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237 if ((match_idx || match_bool) && (left_inf || right_inf)) |
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238 error ("lookup: m, b cannot be specified with l or r"); |
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239 else if (match_idx && match_bool) |
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240 error ("lookup: only one of m or b can be specified"); |
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241 else if (str_case && (left_inf || right_inf)) |
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242 error ("lookup: l, r are not recognized for string lookups"); |
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243 |
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244 if (num_case) |
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245 { |
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246 // In the case of a complex array, absolute values will be used for |
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247 // compatibility (though it's not too meaningful). |
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248 if (table.iscomplex ()) |
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249 table = table.abs (); |
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250 |
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251 if (y.iscomplex ()) |
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252 y = y.abs (); |
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253 |
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254 Array<octave_idx_type> idx; |
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255 |
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256 // PS: I learned this from data.cc |
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257 if INT_ARRAY_LOOKUP (int8) |
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258 else if INT_ARRAY_LOOKUP (int16) |
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259 else if INT_ARRAY_LOOKUP (int32) |
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260 else if INT_ARRAY_LOOKUP (int64) |
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261 else if INT_ARRAY_LOOKUP (uint8) |
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262 else if INT_ARRAY_LOOKUP (uint16) |
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263 else if INT_ARRAY_LOOKUP (uint32) |
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264 else if INT_ARRAY_LOOKUP (uint64) |
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265 else if (table.is_char_matrix () && y.is_char_matrix ()) |
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266 retval = do_numeric_lookup (table.char_array_value (), |
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267 y.char_array_value (), |
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268 left_inf, right_inf, |
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269 match_idx, match_bool); |
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270 else if (table.is_single_type () || y.is_single_type ()) |
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271 retval = do_numeric_lookup (table.float_array_value (), |
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272 y.float_array_value (), |
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273 left_inf, right_inf, |
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274 match_idx, match_bool); |
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275 else |
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276 retval = do_numeric_lookup (table.array_value (), |
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277 y.array_value (), |
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278 left_inf, right_inf, |
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279 match_idx, match_bool); |
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280 } |
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281 else if (str_case) |
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282 { |
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283 Array<std::string> str_table = table.cellstr_value (); |
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284 Array<std::string> str_y (dim_vector (1, 1)); |
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285 |
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286 if (y.iscellstr ()) |
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287 str_y = y.cellstr_value (); |
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288 else |
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289 str_y(0) = y.string_value (); |
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290 |
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291 Array<octave_idx_type> idx = str_table.lookup (str_y); |
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292 octave_idx_type nval = str_y.numel (); |
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293 |
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294 // Post-process. |
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295 if (match_bool) |
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296 { |
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297 boolNDArray match (idx.dims ()); |
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298 for (octave_idx_type i = 0; i < nval; i++) |
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299 { |
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300 octave_idx_type j = idx.xelem (i); |
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301 match.xelem (i) = j != 0 && str_y(i) == str_table(j-1); |
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302 } |
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303 |
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304 retval = match; |
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305 } |
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306 else if (match_idx) |
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307 { |
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308 NDArray ridx (idx.dims ()); |
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309 for (octave_idx_type i = 0; i < nval; i++) |
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310 { |
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311 octave_idx_type j = idx.xelem (i); |
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312 ridx.xelem (i) = (j != 0 && str_y(i) == str_table(j-1) ? j : 0); |
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313 } |
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314 |
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315 retval = ridx; |
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316 } |
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317 else |
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318 retval = idx; |
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319 } |
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320 else |
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321 print_usage (); |
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322 |
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323 return retval; |
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324 } |
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325 |
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326 /* |
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327 %!assert (lookup (1:3, 0.5), 0) # value before table |
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328 %!assert (lookup (1:3, 3.5), 3) # value after table error |
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329 %!assert (lookup (1:3, 1.5), 1) # value within table error |
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330 %!assert (lookup (1:3, [3,2,1]), [3,2,1]) |
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331 %!assert (lookup ([1:4]', [1.2, 3.5]'), [1, 3]') |
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332 %!assert (lookup ([1:4], [1.2, 3.5]'), [1, 3]') |
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333 %!assert (lookup ([1:4]', [1.2, 3.5]), [1, 3]) |
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334 %!assert (lookup ([1:4], [1.2, 3.5]), [1, 3]) |
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335 %!assert (lookup (1:3, [3, 2, 1]), [3, 2, 1]) |
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336 %!assert (lookup ([3:-1:1], [3.5, 3, 1.2, 2.5, 2.5]), [0, 1, 2, 1, 1]) |
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337 %!assert (isempty (lookup ([1:3], []))) |
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338 %!assert (isempty (lookup ([1:3]', []))) |
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339 %!assert (lookup (1:3, [1, 2; 3, 0.5]), [1, 2; 3, 0]) |
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340 %!assert (lookup (1:4, [1, 1.2; 3, 2.5], "m"), [1, 0; 3, 0]) |
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341 %!assert (lookup (4:-1:1, [1, 1.2; 3, 2.5], "m"), [4, 0; 2, 0]) |
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342 %!assert (lookup (1:4, [1, 1.2; 3, 2.5], "b"), logical ([1, 0; 3, 0])) |
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343 %!assert (lookup (4:-1:1, [1, 1.2; 3, 2.5], "b"), logical ([4, 0; 2, 0])) |
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344 %! |
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345 %!assert (lookup ({"apple","lemon","orange"}, {"banana","kiwi"; "ananas","mango"}), [1,1;0,2]) |
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346 %!assert (lookup ({"apple","lemon","orange"}, "potato"), 3) |
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347 %!assert (lookup ({"orange","lemon","apple"}, "potato"), 0) |
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348 */ |