Mercurial > octave
annotate libinterp/corefcn/bsxfun.cc @ 21317:a4faec57f4c8
maint: remove semicolon after %!assert tests to follow Octave conventions.
* testfun.txi: Remove semicolons from examples in manual and update remaider
of text to reflect changes.
* bsxfun.cc, cellfun.cc, data.cc, hash.cc, lu.cc, nproc.cc,
rcond.cc, regexp.cc, sparse-xpow.cc, strfns.cc, symtab.cc, time.cc,
variables.cc, ov-class.cc, ov-cx-diag.cc, ov-struct.cc, ov.cc, oct-parse.in.yy,
pt-mat.cc, CMatrix.cc, oct-inttypes.cc, md5sum.m, blkdiag.m, cell2mat.m,
interp1.m, interp2.m, interpft.m, num2str.m, repmat.m, ntsc2rgb.m, expm.m,
inputname.m, polyvalm.m, blackman.m, hamming.m, hanning.m, eigs.m, median.m,
binopdf.m, strsplit.m, strtok.m, assert.m, example.m, datevec.m, bug-38565.tst,
build-sparse-tests.sh, classdef.tst, classes.tst, diag-perm.tst, index.tst,
io.tst, logical-index.tst, nest.tst, parser.tst, prefer.tst, struct.tst:
maint: remove semicolon after %!assert tests to follow Octave conventions.
author | Rik <rik@octave.org> |
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date | Sun, 21 Feb 2016 08:10:36 -0800 |
parents | 40de9f8f23a6 |
children | 12280fef2741 |
rev | line source |
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6869 | 1 /* |
2 | |
19697
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3 Copyright (C) 2007-2015 David Bateman |
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4 Copyright (C) 2009 VZLU Prague |
6869 | 5 |
6 This file is part of Octave. | |
7 | |
8 Octave is free software; you can redistribute it and/or modify it | |
9 under the terms of the GNU General Public License as published by the | |
7016 | 10 Free Software Foundation; either version 3 of the License, or (at your |
11 option) any later version. | |
6869 | 12 |
13 Octave is distributed in the hope that it will be useful, but WITHOUT | |
14 ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or | |
15 FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License | |
16 for more details. | |
17 | |
18 You should have received a copy of the GNU General Public License | |
7016 | 19 along with Octave; see the file COPYING. If not, see |
20 <http://www.gnu.org/licenses/>. | |
6869 | 21 |
22 */ | |
23 | |
24 #ifdef HAVE_CONFIG_H | |
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25 # include "config.h" |
6869 | 26 #endif |
27 | |
28 #include <string> | |
29 #include <vector> | |
30 #include <list> | |
31 | |
32 #include "lo-mappers.h" | |
33 | |
34 #include "oct-map.h" | |
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35 #include "defun.h" |
6869 | 36 #include "parse.h" |
37 #include "variables.h" | |
38 #include "ov-colon.h" | |
39 #include "unwind-prot.h" | |
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40 #include "ov-fcn-handle.h" |
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41 |
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42 // Optimized bsxfun operations |
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43 enum bsxfun_builtin_op |
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44 { |
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45 bsxfun_builtin_plus = 0, |
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46 bsxfun_builtin_minus, |
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47 bsxfun_builtin_times, |
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48 bsxfun_builtin_divide, |
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49 bsxfun_builtin_max, |
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50 bsxfun_builtin_min, |
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51 bsxfun_builtin_eq, |
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52 bsxfun_builtin_ne, |
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53 bsxfun_builtin_lt, |
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54 bsxfun_builtin_le, |
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55 bsxfun_builtin_gt, |
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56 bsxfun_builtin_ge, |
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57 bsxfun_builtin_and, |
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58 bsxfun_builtin_or, |
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59 bsxfun_builtin_power, |
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60 bsxfun_builtin_unknown, |
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61 bsxfun_num_builtin_ops = bsxfun_builtin_unknown |
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62 }; |
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63 |
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64 const char *bsxfun_builtin_names[] = |
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65 { |
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66 "plus", |
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67 "minus", |
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68 "times", |
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69 "rdivide", |
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70 "max", |
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71 "min", |
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72 "eq", |
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73 "ne", |
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74 "lt", |
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75 "le", |
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76 "gt", |
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77 "ge", |
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78 "and", |
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79 "or", |
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80 "power" |
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81 }; |
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82 |
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83 static bsxfun_builtin_op |
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84 bsxfun_builtin_lookup (const std::string& name) |
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85 { |
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86 for (int i = 0; i < bsxfun_num_builtin_ops; i++) |
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87 if (name == bsxfun_builtin_names[i]) |
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88 return static_cast<bsxfun_builtin_op> (i); |
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89 return bsxfun_builtin_unknown; |
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90 } |
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91 |
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92 typedef octave_value (*bsxfun_handler) (const octave_value&, |
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93 const octave_value&); |
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94 |
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95 // Static table of handlers. |
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96 bsxfun_handler bsxfun_handler_table[bsxfun_num_builtin_ops][btyp_num_types]; |
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97 |
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98 template <typename NDA, NDA (bsxfun_op) (const NDA&, const NDA&)> |
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99 static octave_value |
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100 bsxfun_forward_op (const octave_value& x, const octave_value& y) |
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101 { |
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102 NDA xa = octave_value_extract<NDA> (x); |
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103 NDA ya = octave_value_extract<NDA> (y); |
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104 return octave_value (bsxfun_op (xa, ya)); |
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105 } |
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106 |
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107 template <typename NDA, boolNDArray (bsxfun_rel) (const NDA&, const NDA&)> |
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108 static octave_value |
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109 bsxfun_forward_rel (const octave_value& x, const octave_value& y) |
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110 { |
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111 NDA xa = octave_value_extract<NDA> (x); |
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112 NDA ya = octave_value_extract<NDA> (y); |
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113 return octave_value (bsxfun_rel (xa, ya)); |
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114 } |
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115 |
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116 // pow() needs a special handler for reals |
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117 // because of the potentially complex result. |
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118 template <typename NDA, typename CNDA> |
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119 static octave_value |
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120 do_bsxfun_real_pow (const octave_value& x, const octave_value& y) |
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121 { |
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122 NDA xa = octave_value_extract<NDA> (x); |
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123 NDA ya = octave_value_extract<NDA> (y); |
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124 if (! ya.all_integers () && xa.any_element_is_negative ()) |
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125 return octave_value (bsxfun_pow (CNDA (xa), ya)); |
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126 else |
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127 return octave_value (bsxfun_pow (xa, ya)); |
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128 } |
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129 |
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130 static void maybe_fill_table (void) |
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131 { |
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132 static bool filled = false; |
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133 if (filled) |
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134 return; |
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135 |
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136 #define REGISTER_OP_HANDLER(OP, BTYP, NDA, FUNOP) \ |
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137 bsxfun_handler_table[OP][BTYP] = bsxfun_forward_op<NDA, FUNOP> |
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138 |
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139 #define REGISTER_REL_HANDLER(REL, BTYP, NDA, FUNREL) \ |
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140 bsxfun_handler_table[REL][BTYP] = bsxfun_forward_rel<NDA, FUNREL> |
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141 |
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142 #define REGISTER_STD_HANDLERS(BTYP, NDA) \ |
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143 REGISTER_OP_HANDLER (bsxfun_builtin_plus, BTYP, NDA, bsxfun_add); \ |
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144 REGISTER_OP_HANDLER (bsxfun_builtin_minus, BTYP, NDA, bsxfun_sub); \ |
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145 REGISTER_OP_HANDLER (bsxfun_builtin_times, BTYP, NDA, bsxfun_mul); \ |
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146 REGISTER_OP_HANDLER (bsxfun_builtin_divide, BTYP, NDA, bsxfun_div); \ |
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147 REGISTER_OP_HANDLER (bsxfun_builtin_max, BTYP, NDA, bsxfun_max); \ |
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148 REGISTER_OP_HANDLER (bsxfun_builtin_min, BTYP, NDA, bsxfun_min); \ |
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149 REGISTER_REL_HANDLER (bsxfun_builtin_eq, BTYP, NDA, bsxfun_eq); \ |
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150 REGISTER_REL_HANDLER (bsxfun_builtin_ne, BTYP, NDA, bsxfun_ne); \ |
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151 REGISTER_REL_HANDLER (bsxfun_builtin_lt, BTYP, NDA, bsxfun_lt); \ |
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152 REGISTER_REL_HANDLER (bsxfun_builtin_le, BTYP, NDA, bsxfun_le); \ |
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153 REGISTER_REL_HANDLER (bsxfun_builtin_gt, BTYP, NDA, bsxfun_gt); \ |
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154 REGISTER_REL_HANDLER (bsxfun_builtin_ge, BTYP, NDA, bsxfun_ge) |
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155 |
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156 REGISTER_STD_HANDLERS (btyp_double, NDArray); |
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157 REGISTER_STD_HANDLERS (btyp_float, FloatNDArray); |
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158 REGISTER_STD_HANDLERS (btyp_complex, ComplexNDArray); |
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159 REGISTER_STD_HANDLERS (btyp_float_complex, FloatComplexNDArray); |
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160 REGISTER_STD_HANDLERS (btyp_int8, int8NDArray); |
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161 REGISTER_STD_HANDLERS (btyp_int16, int16NDArray); |
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162 REGISTER_STD_HANDLERS (btyp_int32, int32NDArray); |
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163 REGISTER_STD_HANDLERS (btyp_int64, int64NDArray); |
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164 REGISTER_STD_HANDLERS (btyp_uint8, uint8NDArray); |
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165 REGISTER_STD_HANDLERS (btyp_uint16, uint16NDArray); |
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166 REGISTER_STD_HANDLERS (btyp_uint32, uint32NDArray); |
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167 REGISTER_STD_HANDLERS (btyp_uint64, uint64NDArray); |
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168 |
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169 // For bools, we register and/or. |
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170 REGISTER_OP_HANDLER (bsxfun_builtin_and, btyp_bool, boolNDArray, bsxfun_and); |
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171 REGISTER_OP_HANDLER (bsxfun_builtin_or, btyp_bool, boolNDArray, bsxfun_or); |
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172 |
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173 // Register power handlers. |
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174 bsxfun_handler_table[bsxfun_builtin_power][btyp_double] = |
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175 do_bsxfun_real_pow<NDArray, ComplexNDArray>; |
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176 bsxfun_handler_table[bsxfun_builtin_power][btyp_float] = |
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177 do_bsxfun_real_pow<FloatNDArray, FloatComplexNDArray>; |
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178 |
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179 REGISTER_OP_HANDLER (bsxfun_builtin_power, btyp_complex, ComplexNDArray, |
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180 bsxfun_pow); |
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181 REGISTER_OP_HANDLER (bsxfun_builtin_power, btyp_float_complex, |
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182 FloatComplexNDArray, bsxfun_pow); |
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183 |
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184 // For chars, we want just relational handlers. |
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185 REGISTER_REL_HANDLER (bsxfun_builtin_eq, btyp_char, charNDArray, bsxfun_eq); |
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186 REGISTER_REL_HANDLER (bsxfun_builtin_ne, btyp_char, charNDArray, bsxfun_ne); |
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187 REGISTER_REL_HANDLER (bsxfun_builtin_lt, btyp_char, charNDArray, bsxfun_lt); |
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188 REGISTER_REL_HANDLER (bsxfun_builtin_le, btyp_char, charNDArray, bsxfun_le); |
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189 REGISTER_REL_HANDLER (bsxfun_builtin_gt, btyp_char, charNDArray, bsxfun_gt); |
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190 REGISTER_REL_HANDLER (bsxfun_builtin_ge, btyp_char, charNDArray, bsxfun_ge); |
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191 |
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192 filled = true; |
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193 } |
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194 |
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195 static octave_value |
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196 maybe_optimized_builtin (const std::string& name, |
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197 const octave_value& a, const octave_value& b) |
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198 { |
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199 octave_value retval; |
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200 |
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201 maybe_fill_table (); |
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202 |
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203 bsxfun_builtin_op op = bsxfun_builtin_lookup (name); |
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204 if (op != bsxfun_builtin_unknown) |
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205 { |
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206 builtin_type_t btyp_a = a.builtin_type (); |
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207 builtin_type_t btyp_b = b.builtin_type (); |
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208 |
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209 // Simplify single/double combinations. |
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210 if (btyp_a == btyp_float && btyp_b == btyp_double) |
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211 btyp_b = btyp_float; |
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212 else if (btyp_a == btyp_double && btyp_b == btyp_float) |
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213 btyp_a = btyp_float; |
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214 else if (btyp_a == btyp_float_complex && btyp_b == btyp_complex) |
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215 btyp_b = btyp_float_complex; |
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216 else if (btyp_a == btyp_complex && btyp_b == btyp_float_complex) |
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217 btyp_a = btyp_float_complex; |
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218 |
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219 if (btyp_a == btyp_b && btyp_a != btyp_unknown) |
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220 { |
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221 bsxfun_handler handler = bsxfun_handler_table[op][btyp_a]; |
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222 if (handler) |
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223 retval = handler (a, b); |
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224 } |
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225 } |
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226 |
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227 return retval; |
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228 } |
6869 | 229 |
230 static bool | |
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231 maybe_update_column (octave_value& Ac, const octave_value& A, |
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232 const dim_vector& dva, const dim_vector& dvc, |
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233 octave_idx_type i, octave_value_list &idx) |
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235 octave_idx_type nd = dva.length (); | |
236 | |
237 if (i == 0) | |
238 { | |
239 idx(0) = octave_value (':'); | |
240 for (octave_idx_type j = 1; j < nd; j++) | |
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241 { |
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242 if (dva(j) == 1) |
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243 idx(j) = octave_value (1); |
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244 else |
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245 idx(j) = octave_value ((i % dvc(j)) + 1); |
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247 i /= dvc(j); |
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248 } |
6869 | 249 |
250 Ac = A; | |
251 Ac = Ac.single_subsref ("(", idx); | |
252 return true; | |
253 } | |
254 else | |
255 { | |
256 bool is_changed = false; | |
257 octave_idx_type k = i; | |
258 octave_idx_type k1 = i - 1; | |
259 for (octave_idx_type j = 1; j < nd; j++) | |
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260 { |
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261 if (dva(j) != 1 && k % dvc(j) != k1 % dvc(j)) |
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262 { |
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263 idx (j) = octave_value ((k % dvc(j)) + 1); |
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264 is_changed = true; |
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265 } |
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267 k /= dvc(j); |
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268 k1 /= dvc(j); |
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269 } |
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271 if (is_changed) | |
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272 { |
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273 Ac = A; |
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274 Ac = Ac.single_subsref ("(", idx); |
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275 return true; |
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276 } |
6869 | 277 else |
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278 return false; |
6869 | 279 } |
280 } | |
281 | |
6959 | 282 #if 0 |
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283 // FIXME: this function is not used; is it OK to delete it? |
6869 | 284 static void |
285 update_index (octave_value_list& idx, const dim_vector& dv, octave_idx_type i) | |
286 { | |
287 octave_idx_type nd = dv.length (); | |
288 | |
289 if (i == 0) | |
290 { | |
291 for (octave_idx_type j = nd - 1; j > 0; j--) | |
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292 idx(j) = octave_value (1.0); |
6869 | 293 idx(0) = octave_value (':'); |
294 } | |
295 else | |
296 { | |
297 for (octave_idx_type j = 1; j < nd; j++) | |
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298 { |
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299 idx (j) = octave_value (i % dv(j) + 1); |
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300 i /= dv(j); |
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301 } |
6869 | 302 } |
303 } | |
6959 | 304 #endif |
6869 | 305 |
306 static void | |
307 update_index (Array<int>& idx, const dim_vector& dv, octave_idx_type i) | |
308 { | |
309 octave_idx_type nd = dv.length (); | |
310 | |
311 idx(0) = 0; | |
312 for (octave_idx_type j = 1; j < nd; j++) | |
313 { | |
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314 idx(j) = i % dv(j); |
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315 i /= dv(j); |
6869 | 316 } |
317 } | |
318 | |
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319 DEFUN (bsxfun, args, , |
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320 "-*- texinfo -*-\n\ |
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321 @deftypefn {} {} bsxfun (@var{f}, @var{A}, @var{B})\n\ |
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322 The binary singleton expansion function performs broadcasting,\n\ |
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323 that is, it applies a binary function @var{f} element-by-element to two\n\ |
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324 array arguments @var{A} and @var{B}, and expands as necessary\n\ |
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325 singleton dimensions in either input argument.\n\ |
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326 \n\ |
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327 @var{f} is a function handle, inline function, or string containing the name\n\ |
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328 of the function to evaluate. The function @var{f} must be capable of\n\ |
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329 accepting two column-vector arguments of equal length, or one column vector\n\ |
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330 argument and a scalar.\n\ |
6869 | 331 \n\ |
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332 The dimensions of @var{A} and @var{B} must be equal or singleton. The\n\ |
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333 singleton dimensions of the arrays will be expanded to the same\n\ |
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334 dimensionality as the other array.\n\ |
6869 | 335 @seealso{arrayfun, cellfun}\n\ |
336 @end deftypefn") | |
337 { | |
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338 if (args.length () != 3) |
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340 |
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341 octave_value func = args(0); |
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342 if (func.is_string ()) |
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343 { |
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344 std::string name = func.string_value (); |
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345 func = symbol_table::find_function (name); |
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346 if (func.is_undefined ()) |
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347 error ("bsxfun: invalid function name: %s", name.c_str ()); |
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348 } |
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349 else if (! (args(0).is_function_handle () || args(0).is_inline_function ())) |
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350 error ("bsxfun: F must be a string or function handle"); |
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351 |
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352 octave_value_list retval; |
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353 |
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354 const octave_value A = args(1); |
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355 const octave_value B = args(2); |
6869 | 356 |
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357 if (func.is_builtin_function () |
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358 || (func.is_function_handle () && ! A.is_object () && ! B.is_object ())) |
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359 { |
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360 // This may break if the default behavior is overridden. But if you |
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361 // override arithmetic operators for builtin classes, you should expect |
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362 // mayhem anyway (constant folding etc). Querying is_overloaded() may |
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363 // not be exactly what we need here. |
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364 octave_function *fcn_val = func.function_value (); |
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365 if (fcn_val) |
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366 { |
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367 octave_value tmp = maybe_optimized_builtin (fcn_val->name (), A, B); |
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368 if (tmp.is_defined ()) |
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369 retval(0) = tmp; |
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370 } |
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371 } |
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372 |
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373 if (retval.empty ()) |
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374 { |
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375 dim_vector dva = A.dims (); |
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376 octave_idx_type nda = dva.length (); |
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377 dim_vector dvb = B.dims (); |
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378 octave_idx_type ndb = dvb.length (); |
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379 octave_idx_type nd = nda; |
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380 |
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381 if (nda > ndb) |
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382 dvb.resize (nda, 1); |
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383 else if (nda < ndb) |
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384 { |
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385 dva.resize (ndb, 1); |
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386 nd = ndb; |
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387 } |
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388 |
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389 for (octave_idx_type i = 0; i < nd; i++) |
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390 if (dva(i) != dvb(i) && dva(i) != 1 && dvb(i) != 1) |
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391 error ("bsxfun: dimensions of A and B must match"); |
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392 |
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393 // Find the size of the output |
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394 dim_vector dvc; |
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395 dvc.resize (nd); |
6869 | 396 |
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397 for (octave_idx_type i = 0; i < nd; i++) |
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398 dvc(i) = (dva(i) < 1 ? dva(i) |
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399 : (dvb(i) < 1 ? dvb(i) |
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400 : (dva(i) > dvb(i) |
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401 ? dva(i) : dvb(i)))); |
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403 if (dva == dvb || dva.numel () == 1 || dvb.numel () == 1) |
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404 { |
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405 octave_value_list inputs (2); |
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406 inputs(0) = A; |
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407 inputs(1) = B; |
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408 retval = func.do_multi_index_op (1, inputs); |
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409 } |
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410 else if (dvc.numel () < 1) |
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411 { |
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412 octave_value_list inputs (2); |
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413 inputs(0) = A.resize (dvc); |
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414 inputs(1) = B.resize (dvc); |
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415 retval = func.do_multi_index_op (1, inputs); |
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416 } |
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417 else |
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418 { |
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419 octave_idx_type ncount = 1; |
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420 for (octave_idx_type i = 1; i < nd; i++) |
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421 ncount *= dvc(i); |
6869 | 422 |
423 #define BSXDEF(T) \ | |
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424 T result_ ## T; \ |
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425 bool have_ ## T = false; |
6869 | 426 |
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427 BSXDEF(NDArray); |
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428 BSXDEF(ComplexNDArray); |
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429 BSXDEF(FloatNDArray); |
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430 BSXDEF(FloatComplexNDArray); |
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431 BSXDEF(boolNDArray); |
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432 BSXDEF(int8NDArray); |
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433 BSXDEF(int16NDArray); |
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434 BSXDEF(int32NDArray); |
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435 BSXDEF(int64NDArray); |
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436 BSXDEF(uint8NDArray); |
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437 BSXDEF(uint16NDArray); |
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438 BSXDEF(uint32NDArray); |
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439 BSXDEF(uint64NDArray); |
6869 | 440 |
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441 octave_value Ac ; |
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442 octave_value_list idxA; |
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443 octave_value Bc; |
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444 octave_value_list idxB; |
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445 octave_value C; |
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446 octave_value_list inputs (2); |
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447 Array<int> ra_idx (dim_vector (dvc.length (), 1), 0); |
6869 | 448 |
449 | |
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450 for (octave_idx_type i = 0; i < ncount; i++) |
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451 { |
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452 if (maybe_update_column (Ac, A, dva, dvc, i, idxA)) |
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453 inputs(0) = Ac; |
6869 | 454 |
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455 if (maybe_update_column (Bc, B, dvb, dvc, i, idxB)) |
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456 inputs(1) = Bc; |
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457 |
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458 octave_value_list tmp = func.do_multi_index_op (1, inputs); |
6869 | 459 |
460 #define BSXINIT(T, CLS, EXTRACTOR) \ | |
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461 (result_type == CLS) \ |
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462 { \ |
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463 have_ ## T = true; \ |
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464 result_ ## T = tmp(0). EXTRACTOR ## _array_value (); \ |
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465 result_ ## T .resize (dvc); \ |
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466 } |
6869 | 467 |
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468 if (i == 0) |
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469 { |
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470 if (! tmp(0).is_sparse_type ()) |
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471 { |
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472 std::string result_type = tmp(0).class_name (); |
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473 if (result_type == "double") |
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474 { |
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475 if (tmp(0).is_real_type ()) |
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476 { |
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477 have_NDArray = true; |
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478 result_NDArray = tmp(0).array_value (); |
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479 result_NDArray.resize (dvc); |
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480 } |
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481 else |
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482 { |
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483 have_ComplexNDArray = true; |
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484 result_ComplexNDArray = |
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485 tmp(0).complex_array_value (); |
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486 result_ComplexNDArray.resize (dvc); |
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487 } |
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488 } |
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489 else if (result_type == "single") |
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490 { |
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491 if (tmp(0).is_real_type ()) |
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492 { |
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493 have_FloatNDArray = true; |
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494 result_FloatNDArray |
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495 = tmp(0).float_array_value (); |
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496 result_FloatNDArray.resize (dvc); |
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497 } |
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498 else |
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499 { |
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500 have_ComplexNDArray = true; |
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501 result_ComplexNDArray = |
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502 tmp(0).complex_array_value (); |
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503 result_ComplexNDArray.resize (dvc); |
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504 } |
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505 } |
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506 else if BSXINIT(boolNDArray, "logical", bool) |
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507 else if BSXINIT(int8NDArray, "int8", int8) |
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508 else if BSXINIT(int16NDArray, "int16", int16) |
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509 else if BSXINIT(int32NDArray, "int32", int32) |
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510 else if BSXINIT(int64NDArray, "int64", int64) |
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511 else if BSXINIT(uint8NDArray, "uint8", uint8) |
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512 else if BSXINIT(uint16NDArray, "uint16", uint16) |
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513 else if BSXINIT(uint32NDArray, "uint32", uint32) |
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514 else if BSXINIT(uint64NDArray, "uint64", uint64) |
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515 else |
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516 { |
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517 C = tmp(0); |
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518 C = C.resize (dvc); |
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519 } |
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520 } |
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521 } |
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522 else |
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523 { |
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524 update_index (ra_idx, dvc, i); |
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525 |
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526 if (have_FloatNDArray |
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527 || have_FloatComplexNDArray) |
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528 { |
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529 if (! tmp(0).is_float_type ()) |
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530 { |
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531 if (have_FloatNDArray) |
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532 { |
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|
533 have_FloatNDArray = false; |
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534 C = result_FloatNDArray; |
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535 } |
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|
536 else |
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537 { |
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|
538 have_FloatComplexNDArray = false; |
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539 C = result_FloatComplexNDArray; |
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540 } |
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541 C = do_cat_op (C, tmp(0), ra_idx); |
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542 } |
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543 else if (tmp(0).is_double_type ()) |
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544 { |
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545 if (tmp(0).is_complex_type () |
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546 && have_FloatNDArray) |
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547 { |
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548 result_ComplexNDArray = |
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549 ComplexNDArray (result_FloatNDArray); |
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550 result_ComplexNDArray.insert |
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551 (tmp(0).complex_array_value (), ra_idx); |
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552 have_FloatComplexNDArray = false; |
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553 have_ComplexNDArray = true; |
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554 } |
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555 else |
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556 { |
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557 result_NDArray = |
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558 NDArray (result_FloatNDArray); |
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559 result_NDArray.insert |
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560 (tmp(0).array_value (), ra_idx); |
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561 have_FloatNDArray = false; |
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562 have_NDArray = true; |
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563 } |
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564 } |
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565 else if (tmp(0).is_real_type ()) |
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566 result_FloatNDArray.insert |
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567 (tmp(0).float_array_value (), ra_idx); |
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568 else |
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569 { |
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570 result_FloatComplexNDArray = |
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571 FloatComplexNDArray (result_FloatNDArray); |
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572 result_FloatComplexNDArray.insert |
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573 (tmp(0).float_complex_array_value (), |
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574 ra_idx); |
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575 have_FloatNDArray = false; |
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576 have_FloatComplexNDArray = true; |
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577 } |
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578 } |
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579 else if (have_NDArray) |
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580 { |
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581 if (! tmp(0).is_float_type ()) |
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582 { |
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583 have_NDArray = false; |
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584 C = result_NDArray; |
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585 C = do_cat_op (C, tmp(0), ra_idx); |
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586 } |
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587 else if (tmp(0).is_real_type ()) |
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588 result_NDArray.insert (tmp(0).array_value (), |
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589 ra_idx); |
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590 else |
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591 { |
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592 result_ComplexNDArray = |
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593 ComplexNDArray (result_NDArray); |
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594 result_ComplexNDArray.insert |
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595 (tmp(0).complex_array_value (), ra_idx); |
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596 have_NDArray = false; |
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597 have_ComplexNDArray = true; |
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598 } |
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599 } |
6869 | 600 |
601 #define BSXLOOP(T, CLS, EXTRACTOR) \ | |
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602 (have_ ## T) \ |
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603 { \ |
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604 if (tmp(0).class_name () != CLS) \ |
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605 { \ |
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606 have_ ## T = false; \ |
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607 C = result_ ## T; \ |
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608 C = do_cat_op (C, tmp(0), ra_idx); \ |
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609 } \ |
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610 else \ |
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611 result_ ## T .insert (tmp(0). EXTRACTOR ## _array_value (), ra_idx); \ |
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612 } |
6869 | 613 |
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614 else if BSXLOOP(ComplexNDArray, "double", complex) |
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615 else if BSXLOOP(boolNDArray, "logical", bool) |
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616 else if BSXLOOP(int8NDArray, "int8", int8) |
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617 else if BSXLOOP(int16NDArray, "int16", int16) |
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618 else if BSXLOOP(int32NDArray, "int32", int32) |
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619 else if BSXLOOP(int64NDArray, "int64", int64) |
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620 else if BSXLOOP(uint8NDArray, "uint8", uint8) |
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621 else if BSXLOOP(uint16NDArray, "uint16", uint16) |
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622 else if BSXLOOP(uint32NDArray, "uint32", uint32) |
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623 else if BSXLOOP(uint64NDArray, "uint64", uint64) |
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624 else |
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625 C = do_cat_op (C, tmp(0), ra_idx); |
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626 } |
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627 } |
6869 | 628 |
629 #define BSXEND(T) \ | |
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630 (have_ ## T) \ |
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631 retval(0) = result_ ## T; |
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633 if BSXEND(NDArray) |
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634 else if BSXEND(ComplexNDArray) |
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635 else if BSXEND(FloatNDArray) |
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636 else if BSXEND(FloatComplexNDArray) |
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637 else if BSXEND(boolNDArray) |
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638 else if BSXEND(int8NDArray) |
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639 else if BSXEND(int16NDArray) |
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640 else if BSXEND(int32NDArray) |
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641 else if BSXEND(int64NDArray) |
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642 else if BSXEND(uint8NDArray) |
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643 else if BSXEND(uint16NDArray) |
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644 else if BSXEND(uint32NDArray) |
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645 else if BSXEND(uint64NDArray) |
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646 else |
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647 retval(0) = C; |
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648 } |
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649 } |
6869 | 650 |
651 return retval; | |
652 } | |
653 | |
654 /* | |
655 | |
656 %!shared a, b, c, f | |
657 %! a = randn (4, 4); | |
658 %! b = mean (a, 1); | |
659 %! c = mean (a, 2); | |
660 %! f = @minus; | |
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661 %!error (bsxfun (f)) |
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662 %!error (bsxfun (f, a)) |
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663 %!error (bsxfun (a, b)) |
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664 %!error (bsxfun (a, b, c)) |
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665 %!error (bsxfun (f, a, b, c)) |
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666 %!error (bsxfun (f, ones (4, 0), ones (4, 4))) |
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667 %!assert (bsxfun (f, ones (4, 0), ones (4, 1)), zeros (4, 0)) |
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668 %!assert (bsxfun (f, ones (1, 4), ones (4, 1)), zeros (4, 4)) |
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669 %!assert (bsxfun (f, a, b), a - repmat (b, 4, 1)) |
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670 %!assert (bsxfun (f, a, c), a - repmat (c, 1, 4)) |
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671 %!assert (bsxfun ("minus", ones (1, 4), ones (4, 1)), zeros (4, 4)) |
6869 | 672 |
673 %!shared a, b, c, f | |
674 %! a = randn (4, 4); | |
675 %! a(1) *= 1i; | |
676 %! b = mean (a, 1); | |
677 %! c = mean (a, 2); | |
678 %! f = @minus; | |
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679 %!error (bsxfun (f)) |
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680 %!error (bsxfun (f, a)) |
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681 %!error (bsxfun (a, b)) |
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682 %!error (bsxfun (a, b, c)) |
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683 %!error (bsxfun (f, a, b, c)) |
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684 %!error (bsxfun (f, ones (4, 0), ones (4, 4))) |
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685 %!assert (bsxfun (f, ones (4, 0), ones (4, 1)), zeros (4, 0)) |
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686 %!assert (bsxfun (f, ones (1, 4), ones (4, 1)), zeros (4, 4)) |
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687 %!assert (bsxfun (f, a, b), a - repmat (b, 4, 1)) |
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688 %!assert (bsxfun (f, a, c), a - repmat (c, 1, 4)) |
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689 %!assert (bsxfun ("minus", ones (1, 4), ones (4, 1)), zeros (4, 4)) |
6869 | 690 |
691 %!shared a, b, c, f | |
692 %! a = randn (4, 4); | |
693 %! a(end) *= 1i; | |
694 %! b = mean (a, 1); | |
695 %! c = mean (a, 2); | |
696 %! f = @minus; | |
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697 %!error (bsxfun (f)) |
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698 %!error (bsxfun (f, a)) |
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699 %!error (bsxfun (a, b)) |
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700 %!error (bsxfun (a, b, c)) |
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701 %!error (bsxfun (f, a, b, c)) |
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702 %!error (bsxfun (f, ones (4, 0), ones (4, 4))) |
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703 %!assert (bsxfun (f, ones (4, 0), ones (4, 1)), zeros (4, 0)) |
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704 %!assert (bsxfun (f, ones (1, 4), ones (4, 1)), zeros (4, 4)) |
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705 %!assert (bsxfun (f, a, b), a - repmat (b, 4, 1)) |
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706 %!assert (bsxfun (f, a, c), a - repmat (c, 1, 4)) |
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707 %!assert (bsxfun ("minus", ones (1, 4), ones (4, 1)), zeros (4, 4)) |
6869 | 708 |
709 %!shared a, b, c, f | |
710 %! a = randn (4, 4); | |
711 %! b = a (1, :); | |
712 %! c = a (:, 1); | |
713 %! f = @(x, y) x == y; | |
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714 %!error (bsxfun (f)) |
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715 %!error (bsxfun (f, a)) |
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716 %!error (bsxfun (a, b)) |
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717 %!error (bsxfun (a, b, c)) |
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718 %!error (bsxfun (f, a, b, c)) |
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719 %!error (bsxfun (f, ones (4, 0), ones (4, 4))) |
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720 %!assert (bsxfun (f, ones (4, 0), ones (4, 1)), zeros (4, 0, "logical")) |
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721 %!assert (bsxfun (f, ones (1, 4), ones (4, 1)), ones (4, 4, "logical")) |
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722 %!assert (bsxfun (f, a, b), a == repmat (b, 4, 1)) |
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723 %!assert (bsxfun (f, a, c), a == repmat (c, 1, 4)) |
6869 | 724 |
725 %!shared a, b, c, d, f | |
726 %! a = randn (4, 4, 4); | |
727 %! b = mean (a, 1); | |
728 %! c = mean (a, 2); | |
729 %! d = mean (a, 3); | |
730 %! f = @minus; | |
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731 %!error (bsxfun (f, ones ([4, 0, 4]), ones ([4, 4, 4]))) |
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732 %!assert (bsxfun (f, ones ([4, 0, 4]), ones ([4, 1, 4])), zeros ([4, 0, 4])) |
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733 %!assert (bsxfun (f, ones ([4, 4, 0]), ones ([4, 1, 1])), zeros ([4, 4, 0])) |
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734 %!assert (bsxfun (f, ones ([1, 4, 4]), ones ([4, 1, 4])), zeros ([4, 4, 4])) |
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735 %!assert (bsxfun (f, ones ([4, 4, 1]), ones ([4, 1, 4])), zeros ([4, 4, 4])) |
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736 %!assert (bsxfun (f, ones ([4, 1, 4]), ones ([1, 4, 4])), zeros ([4, 4, 4])) |
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737 %!assert (bsxfun (f, ones ([4, 1, 4]), ones ([1, 4, 1])), zeros ([4, 4, 4])) |
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738 %!assert (bsxfun (f, a, b), a - repmat (b, [4, 1, 1])) |
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739 %!assert (bsxfun (f, a, c), a - repmat (c, [1, 4, 1])) |
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740 %!assert (bsxfun (f, a, d), a - repmat (d, [1, 1, 4])) |
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741 %!assert (bsxfun ("minus", ones ([4, 0, 4]), ones ([4, 1, 4])), zeros ([4, 0, 4])) |
6869 | 742 |
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743 %% The test below is a very hard case to treat |
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744 %!assert (bsxfun (f, ones ([4, 1, 4, 1]), ones ([1, 4, 1, 4])), zeros ([4, 4, 4, 4])) |
6869 | 745 |
10141 | 746 %!shared a, b, aa, bb |
747 %! a = randn (3, 1, 3); | |
748 %! aa = a(:, ones (1, 3), :, ones (1, 3)); | |
749 %! b = randn (1, 3, 3, 3); | |
750 %! bb = b(ones (1, 3), :, :, :); | |
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751 %!assert (bsxfun (@plus, a, b), aa + bb) |
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752 %!assert (bsxfun (@minus, a, b), aa - bb) |
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753 %!assert (bsxfun (@times, a, b), aa .* bb) |
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754 %!assert (bsxfun (@rdivide, a, b), aa ./ bb) |
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755 %!assert (bsxfun (@ldivide, a, b), aa .\ bb) |
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756 %!assert (bsxfun (@power, a, b), aa .^ bb) |
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757 %!assert (bsxfun (@power, abs (a), b), abs (aa) .^ bb) |
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758 %!assert (bsxfun (@eq, round (a), round (b)), round (aa) == round (bb)) |
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759 %!assert (bsxfun (@ne, round (a), round (b)), round (aa) != round (bb)) |
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760 %!assert (bsxfun (@lt, a, b), aa < bb) |
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761 %!assert (bsxfun (@le, a, b), aa <= bb) |
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762 %!assert (bsxfun (@gt, a, b), aa > bb) |
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763 %!assert (bsxfun (@ge, a, b), aa >= bb) |
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764 %!assert (bsxfun (@min, a, b), min (aa, bb)) |
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765 %!assert (bsxfun (@max, a, b), max (aa, bb)) |
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766 %!assert (bsxfun (@and, a > 0, b > 0), (aa > 0) & (bb > 0)) |
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767 %!assert (bsxfun (@or, a > 0, b > 0), (aa > 0) | (bb > 0)) |
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768 |
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769 %% Test automatic bsxfun |
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770 % |
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771 %!test |
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772 %! funs = {@plus, @minus, @times, @rdivide, @ldivide, @power, @max, @min, ... |
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773 %! @rem, @mod, @atan2, @hypot, @eq, @ne, @lt, @le, @gt, @ge, ... |
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774 %! @and, @or, @xor }; |
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775 %! |
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776 %! float_types = {@single, @double}; |
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777 %! int_types = {@int8, @int16, @int32, @int64, ... |
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778 %! @uint8, @uint16, @uint32, @uint64}; |
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779 %! |
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780 %! x = rand (3) * 10-5; |
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781 %! y = rand (3,1) * 10-5; |
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782 %! |
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783 %! for i=1:length (funs) |
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784 %! for j = 1:length (float_types) |
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785 %! for k = 1:length (int_types) |
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786 %! |
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787 %! fun = funs{i}; |
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788 %! f_type = float_types{j}; |
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789 %! i_type = int_types{k}; |
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790 %! |
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791 %! assert (bsxfun (fun, f_type (x), i_type (y)), ... |
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792 %! fun (f_type(x), i_type (y))); |
17245
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Use ... instead of \ for line continuation marker.
Stefan Mahr <dac922@gmx.de>
parents:
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793 %! assert (bsxfun (fun, f_type (y), i_type (x)), ... |
13013
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Add tests for automatic bsxfun
Jordi Gutiérrez Hermoso <jordigh@gmail.com>
parents:
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diff
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794 %! fun (f_type(y), i_type (x))); |
5307bf69cd88
Add tests for automatic bsxfun
Jordi Gutiérrez Hermoso <jordigh@gmail.com>
parents:
12972
diff
changeset
|
795 %! |
17245
7babcdb9bc13
Use ... instead of \ for line continuation marker.
Stefan Mahr <dac922@gmx.de>
parents:
15195
diff
changeset
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796 %! assert (bsxfun (fun, i_type (x), i_type (y)), ... |
13013
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Add tests for automatic bsxfun
Jordi Gutiérrez Hermoso <jordigh@gmail.com>
parents:
12972
diff
changeset
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797 %! fun (i_type (x), i_type (y))); |
17245
7babcdb9bc13
Use ... instead of \ for line continuation marker.
Stefan Mahr <dac922@gmx.de>
parents:
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changeset
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798 %! assert (bsxfun (fun, i_type (y), i_type (x)), ... |
13013
5307bf69cd88
Add tests for automatic bsxfun
Jordi Gutiérrez Hermoso <jordigh@gmail.com>
parents:
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changeset
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799 %! fun (i_type (y), i_type (x))); |
5307bf69cd88
Add tests for automatic bsxfun
Jordi Gutiérrez Hermoso <jordigh@gmail.com>
parents:
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diff
changeset
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800 %! |
17245
7babcdb9bc13
Use ... instead of \ for line continuation marker.
Stefan Mahr <dac922@gmx.de>
parents:
15195
diff
changeset
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801 %! assert (bsxfun (fun, f_type (x), f_type (y)), ... |
13013
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Add tests for automatic bsxfun
Jordi Gutiérrez Hermoso <jordigh@gmail.com>
parents:
12972
diff
changeset
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802 %! fun (f_type (x), f_type (y))); |
17245
7babcdb9bc13
Use ... instead of \ for line continuation marker.
Stefan Mahr <dac922@gmx.de>
parents:
15195
diff
changeset
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803 %! assert (bsxfun (fun, f_type(y), f_type(x)), ... |
13013
5307bf69cd88
Add tests for automatic bsxfun
Jordi Gutiérrez Hermoso <jordigh@gmail.com>
parents:
12972
diff
changeset
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804 %! fun (f_type (y), f_type (x))); |
5307bf69cd88
Add tests for automatic bsxfun
Jordi Gutiérrez Hermoso <jordigh@gmail.com>
parents:
12972
diff
changeset
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805 %! endfor |
5307bf69cd88
Add tests for automatic bsxfun
Jordi Gutiérrez Hermoso <jordigh@gmail.com>
parents:
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changeset
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806 %! endfor |
5307bf69cd88
Add tests for automatic bsxfun
Jordi Gutiérrez Hermoso <jordigh@gmail.com>
parents:
12972
diff
changeset
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807 %! endfor |
5307bf69cd88
Add tests for automatic bsxfun
Jordi Gutiérrez Hermoso <jordigh@gmail.com>
parents:
12972
diff
changeset
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808 %! |
6869 | 809 */ |