Mercurial > octave
annotate libinterp/octave-value/ov-bool-mat.cc @ 21691:263d18409fdf
Eliminate unused variable warnings for conditionally compiled code.
We had more or less decided not to bother trying to eliminate all
these warnings for cases in which external dependencies are missing.
But then we get people trying to fix these in various ways, so we
might as well do it for all cases and use a consistent method.
* oct-conf-post.in.h (octave_unused_parameter): New function for C++
code and new macro for C code.
* mk-octave-config-h.sh: Emit octave_unused_parameter function and
macro for octave-config.h.
* CSparse.cc, __delaunayn__.cc, __eigs__.cc, __fltk_uigetfile__.cc,
__glpk__.cc, __magick_read__.cc, __osmesa_print__.cc, __voronoi__.cc,
amd.cc, audiodevinfo.cc, audioread.cc, ccolamd.cc, cdisplay.c,
colamd.cc, convhulln.cc, dSparse.cc, dmperm.cc, fftw.cc, gl-render.cc,
lo-error.c, load-save.cc, ls-hdf5.cc, ls-mat5.cc, oct-hdf5-types.cc,
ov-base-int.cc, ov-bool-mat.cc, ov-bool-sparse.cc, ov-bool.cc,
ov-cell.cc, ov-class.cc, ov-complex.cc, ov-cx-mat.cc, ov-cx-sparse.cc,
ov-fcn-handle.cc, ov-fcn-inline.cc, ov-float.cc, ov-flt-complex.cc,
ov-flt-cx-mat.cc, ov-flt-re-mat.cc, ov-java.cc, ov-range.cc,
ov-re-mat.cc, ov-re-sparse.cc, ov-scalar.cc, ov-str-mat.cc,
ov-struct.cc, sparse-chol.cc, sparse-dmsolve.cc, sparse-lu.cc,
sparse-qr.cc, sparse-util.cc, symbfact.cc: Use octave_unused_parameter
to eliminate warnings for conditionally compiled code.
author | John W. Eaton <jwe@octave.org> |
---|---|
date | Fri, 13 May 2016 09:36:14 -0400 |
parents | 53728df3e4c9 |
children | aba2e6293dd8 |
rev | line source |
---|---|
2871 | 1 /* |
2 | |
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3 Copyright (C) 1996-2015 John W. Eaton |
11523 | 4 Copyright (C) 2009-2010 VZLU Prague |
2871 | 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. | |
2871 | 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/>. | |
2871 | 21 |
22 */ | |
23 | |
24 #ifdef HAVE_CONFIG_H | |
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25 # include "config.h" |
2871 | 26 #endif |
27 | |
3503 | 28 #include <iostream> |
4726 | 29 #include <vector> |
2901 | 30 |
2871 | 31 #include "lo-ieee.h" |
32 #include "mx-base.h" | |
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33 #include "oct-locbuf.h" |
2871 | 34 |
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35 #include "defun.h" |
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36 #include "errwarn.h" |
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37 #include "mxarray.h" |
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38 #include "ovl.h" |
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39 #include "oct-hdf5.h" |
2871 | 40 #include "ops.h" |
3219 | 41 #include "ov-base.h" |
42 #include "ov-base-mat.h" | |
43 #include "ov-base-mat.cc" | |
2871 | 44 #include "ov-bool.h" |
45 #include "ov-bool-mat.h" | |
46 #include "ov-re-mat.h" | |
47 #include "pr-output.h" | |
48 | |
4687 | 49 #include "byte-swap.h" |
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50 #include "ls-oct-text.h" |
4687 | 51 #include "ls-hdf5.h" |
52 #include "ls-utils.h" | |
53 | |
4513 | 54 template class octave_base_matrix<boolNDArray>; |
2871 | 55 |
56 | |
4612 | 57 DEFINE_OV_TYPEID_FUNCTIONS_AND_DATA (octave_bool_matrix, |
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58 "bool matrix", "logical"); |
2871 | 59 |
5759 | 60 static octave_base_value * |
61 default_numeric_conversion_function (const octave_base_value& a) | |
2871 | 62 { |
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63 const octave_bool_matrix& v = dynamic_cast<const octave_bool_matrix&> (a); |
2871 | 64 |
4668 | 65 return new octave_matrix (NDArray (v.bool_array_value ())); |
2871 | 66 } |
67 | |
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68 octave_base_value::type_conv_info |
2871 | 69 octave_bool_matrix::numeric_conversion_function (void) const |
70 { | |
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71 return octave_base_value::type_conv_info (default_numeric_conversion_function, |
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72 octave_matrix::static_type_id ()); |
2871 | 73 } |
74 | |
5759 | 75 octave_base_value * |
2871 | 76 octave_bool_matrix::try_narrowing_conversion (void) |
77 { | |
5759 | 78 octave_base_value *retval = 0; |
2871 | 79 |
4513 | 80 if (matrix.ndims () == 2) |
81 { | |
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82 boolMatrix bm (matrix); |
2871 | 83 |
5275 | 84 octave_idx_type nr = bm.rows (); |
85 octave_idx_type nc = bm.cols (); | |
4513 | 86 |
87 if (nr == 1 && nc == 1) | |
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88 retval = new octave_bool (bm (0, 0)); |
4513 | 89 } |
2871 | 90 |
91 return retval; | |
92 } | |
93 | |
94 double | |
95 octave_bool_matrix::double_value (bool) const | |
96 { | |
4102 | 97 double retval = lo_ieee_nan_value (); |
2871 | 98 |
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99 if (rows () == 0 || columns () == 0) |
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100 err_invalid_conversion ("bool matrix", "real scalar"); |
4455 | 101 |
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102 warn_implicit_conversion ("Octave:array-to-scalar", |
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103 "bool matrix", "real scalar"); |
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104 |
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105 retval = matrix(0, 0); |
2871 | 106 |
107 return retval; | |
108 } | |
109 | |
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110 float |
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111 octave_bool_matrix::float_value (bool) const |
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112 { |
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113 float retval = lo_ieee_float_nan_value (); |
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114 |
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115 if (rows () == 0 || columns () == 0) |
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116 err_invalid_conversion ("bool matrix", "real scalar"); |
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117 |
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118 warn_implicit_conversion ("Octave:array-to-scalar", |
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119 "bool matrix", "real scalar"); |
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120 |
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121 retval = matrix(0, 0); |
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122 |
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123 return retval; |
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124 } |
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125 |
2871 | 126 Complex |
127 octave_bool_matrix::complex_value (bool) const | |
128 { | |
4102 | 129 double tmp = lo_ieee_nan_value (); |
130 | |
131 Complex retval (tmp, tmp); | |
2871 | 132 |
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133 if (rows () == 0 || columns () == 0) |
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134 err_invalid_conversion ("bool matrix", "complex scalar"); |
4455 | 135 |
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136 warn_implicit_conversion ("Octave:array-to-scalar", |
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137 "bool matrix", "complex scalar"); |
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138 |
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139 retval = matrix(0, 0); |
2871 | 140 |
141 return retval; | |
142 } | |
143 | |
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144 FloatComplex |
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145 octave_bool_matrix::float_complex_value (bool) const |
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146 { |
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147 float tmp = lo_ieee_float_nan_value (); |
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148 |
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149 FloatComplex retval (tmp, tmp); |
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150 |
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151 if (rows () == 0 || columns () == 0) |
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152 err_invalid_conversion ("bool matrix", "complex scalar"); |
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153 |
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154 warn_implicit_conversion ("Octave:array-to-scalar", |
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155 "bool matrix", "complex scalar"); |
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156 |
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157 retval = matrix(0, 0); |
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158 |
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159 return retval; |
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160 } |
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161 |
4457 | 162 octave_value |
5279 | 163 octave_bool_matrix::convert_to_str_internal (bool pad, bool force, |
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164 char type) const |
4457 | 165 { |
4844 | 166 octave_value tmp = octave_value (array_value ()); |
5279 | 167 return tmp.convert_to_str (pad, force, type); |
4457 | 168 } |
169 | |
4643 | 170 void |
171 octave_bool_matrix::print_raw (std::ostream& os, | |
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172 bool pr_as_read_syntax) const |
4643 | 173 { |
174 octave_print_internal (os, matrix, pr_as_read_syntax, | |
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175 current_print_indent_level ()); |
4643 | 176 } |
177 | |
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178 bool |
6974 | 179 octave_bool_matrix::save_ascii (std::ostream& os) |
4687 | 180 { |
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181 dim_vector dv = dims (); |
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182 if (dv.ndims () > 2) |
4687 | 183 { |
184 NDArray tmp = array_value (); | |
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185 os << "# ndims: " << dv.ndims () << "\n"; |
4687 | 186 |
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187 for (int i = 0; i < dv.ndims (); i++) |
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188 os << " " << dv(i); |
4687 | 189 |
190 os << "\n" << tmp; | |
191 } | |
192 else | |
193 { | |
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194 // Keep this case, rather than use generic code above for backward |
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195 // compatibility. Makes load_ascii much more complex!! |
4687 | 196 os << "# rows: " << rows () << "\n" |
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197 << "# columns: " << columns () << "\n"; |
4687 | 198 |
199 Matrix tmp = matrix_value (); | |
200 | |
201 os << tmp; | |
202 } | |
203 | |
204 return true; | |
205 } | |
206 | |
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207 bool |
4687 | 208 octave_bool_matrix::load_ascii (std::istream& is) |
209 { | |
5099 | 210 string_vector keywords (2); |
4687 | 211 |
5099 | 212 keywords[0] = "ndims"; |
213 keywords[1] = "rows"; | |
4687 | 214 |
5099 | 215 std::string kw; |
5275 | 216 octave_idx_type val = 0; |
4687 | 217 |
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218 if (! extract_keyword (is, keywords, kw, val, true)) |
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219 error ("load: failed to extract number of rows and columns"); |
4687 | 220 |
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221 if (kw == "ndims") |
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222 { |
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223 int mdims = static_cast<int> (val); |
5099 | 224 |
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225 if (mdims < 0) |
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226 error ("load: failed to extract number of dimensions"); |
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227 |
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228 dim_vector dv; |
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229 dv.resize (mdims); |
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230 |
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231 for (int i = 0; i < mdims; i++) |
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232 is >> dv(i); |
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233 |
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234 if (! is) |
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235 error ("load: failed to extract dimensions"); |
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236 |
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237 boolNDArray btmp (dv); |
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238 |
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239 if (btmp.is_empty ()) |
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240 matrix = btmp; |
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241 else |
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242 { |
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243 NDArray tmp(dv); |
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244 is >> tmp; |
5099 | 245 |
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246 if (! is) |
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247 error ("load: failed to load matrix constant"); |
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248 |
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249 for (octave_idx_type i = 0; i < btmp.numel (); i++) |
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250 btmp.elem (i) = (tmp.elem (i) != 0.); |
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251 |
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252 matrix = btmp; |
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253 } |
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254 } |
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255 else if (kw == "rows") |
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256 { |
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257 octave_idx_type nr = val; |
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258 octave_idx_type nc = 0; |
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259 |
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260 if (nr < 0 || ! extract_keyword (is, "columns", nc) || nc < 0) |
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261 error ("load: failed to extract number of rows and columns"); |
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262 |
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263 if (nr > 0 && nc > 0) |
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264 { |
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265 Matrix tmp (nr, nc); |
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266 is >> tmp; |
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267 if (! is) |
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268 error ("load: failed to load matrix constant"); |
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269 |
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270 boolMatrix btmp (nr, nc); |
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271 for (octave_idx_type j = 0; j < nc; j++) |
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272 for (octave_idx_type i = 0; i < nr; i++) |
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273 btmp.elem (i,j) = (tmp.elem (i, j) != 0.); |
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274 |
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275 matrix = btmp; |
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276 } |
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277 else if (nr == 0 || nc == 0) |
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278 matrix = boolMatrix (nr, nc); |
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279 else |
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280 panic_impossible (); |
5099 | 281 } |
282 else | |
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283 panic_impossible (); |
4687 | 284 |
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285 return true; |
4687 | 286 } |
287 | |
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288 bool |
4687 | 289 octave_bool_matrix::save_binary (std::ostream& os, bool& /* save_as_floats */) |
290 { | |
291 | |
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292 dim_vector dv = dims (); |
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293 if (dv.ndims () < 1) |
4687 | 294 return false; |
295 | |
296 // Use negative value for ndims to differentiate with old format!! | |
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297 int32_t tmp = - dv.ndims (); |
5760 | 298 os.write (reinterpret_cast<char *> (&tmp), 4); |
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299 for (int i = 0; i < dv.ndims (); i++) |
4687 | 300 { |
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301 tmp = dv(i); |
5760 | 302 os.write (reinterpret_cast<char *> (&tmp), 4); |
4687 | 303 } |
304 | |
305 boolNDArray m = bool_array_value (); | |
306 bool *mtmp = m.fortran_vec (); | |
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307 octave_idx_type nel = m.numel (); |
4687 | 308 OCTAVE_LOCAL_BUFFER (char, htmp, nel); |
309 | |
5275 | 310 for (octave_idx_type i = 0; i < nel; i++) |
4687 | 311 htmp[i] = (mtmp[i] ? 1 : 0); |
312 | |
313 os.write (htmp, nel); | |
314 | |
315 return true; | |
316 } | |
317 | |
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318 bool |
4687 | 319 octave_bool_matrix::load_binary (std::istream& is, bool swap, |
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320 oct_mach_info::float_format /* fmt */) |
4687 | 321 { |
5828 | 322 int32_t mdims; |
5760 | 323 if (! is.read (reinterpret_cast<char *> (&mdims), 4)) |
4687 | 324 return false; |
325 if (swap) | |
4944 | 326 swap_bytes<4> (&mdims); |
4687 | 327 if (mdims >= 0) |
328 return false; | |
329 | |
330 // mdims is negative for consistency with other matrices, where it is | |
331 // negative to allow the positive value to be used for rows/cols for | |
332 // backward compatibility | |
333 mdims = - mdims; | |
5828 | 334 int32_t di; |
4687 | 335 dim_vector dv; |
336 dv.resize (mdims); | |
337 | |
338 for (int i = 0; i < mdims; i++) | |
339 { | |
5760 | 340 if (! is.read (reinterpret_cast<char *> (&di), 4)) |
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341 return false; |
4687 | 342 if (swap) |
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343 swap_bytes<4> (&di); |
4687 | 344 dv(i) = di; |
345 } | |
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346 |
5157 | 347 // Convert an array with a single dimension to be a row vector. |
348 // Octave should never write files like this, other software | |
349 // might. | |
350 | |
351 if (mdims == 1) | |
352 { | |
353 mdims = 2; | |
354 dv.resize (mdims); | |
355 dv(1) = dv(0); | |
356 dv(0) = 1; | |
357 } | |
358 | |
5275 | 359 octave_idx_type nel = dv.numel (); |
4687 | 360 OCTAVE_LOCAL_BUFFER (char, htmp, nel); |
361 if (! is.read (htmp, nel)) | |
362 return false; | |
363 boolNDArray m(dv); | |
364 bool *mtmp = m.fortran_vec (); | |
5275 | 365 for (octave_idx_type i = 0; i < nel; i++) |
4687 | 366 mtmp[i] = (htmp[i] ? 1 : 0); |
367 matrix = m; | |
368 | |
369 return true; | |
370 } | |
371 | |
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372 bool |
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373 octave_bool_matrix::save_hdf5 (octave_hdf5_id loc_id, const char *name, |
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374 bool /* save_as_floats */) |
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375 { |
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376 bool retval = true; |
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377 |
4687 | 378 #if defined (HAVE_HDF5) |
4944 | 379 |
4837 | 380 dim_vector dv = dims (); |
381 int empty = save_hdf5_empty (loc_id, name, dv); | |
382 if (empty) | |
4805 | 383 return (empty > 0); |
384 | |
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385 int rank = dv.ndims (); |
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386 hid_t space_hid, data_hid; |
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387 space_hid = data_hid = -1; |
4687 | 388 boolNDArray m = bool_array_value (); |
389 | |
4805 | 390 OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank); |
391 | |
4687 | 392 // Octave uses column-major, while HDF5 uses row-major ordering |
4805 | 393 for (int i = 0; i < rank; i++) |
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394 hdims[i] = dv(rank-i-1); |
4687 | 395 |
4815 | 396 space_hid = H5Screate_simple (rank, hdims, 0); |
4687 | 397 if (space_hid < 0) return false; |
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398 #if defined (HAVE_HDF5_18) |
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399 data_hid = H5Dcreate (loc_id, name, H5T_NATIVE_HBOOL, space_hid, |
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400 octave_H5P_DEFAULT, octave_H5P_DEFAULT, octave_H5P_DEFAULT); |
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401 #else |
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402 data_hid = H5Dcreate (loc_id, name, H5T_NATIVE_HBOOL, space_hid, |
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403 octave_H5P_DEFAULT); |
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404 #endif |
4687 | 405 if (data_hid < 0) |
406 { | |
407 H5Sclose (space_hid); | |
408 return false; | |
409 } | |
410 | |
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411 octave_idx_type nel = m.numel (); |
4687 | 412 bool *mtmp = m.fortran_vec (); |
6276 | 413 OCTAVE_LOCAL_BUFFER (hbool_t, htmp, nel); |
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414 |
5275 | 415 for (octave_idx_type i = 0; i < nel; i++) |
4687 | 416 htmp[i] = mtmp[i]; |
417 | |
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418 retval = H5Dwrite (data_hid, H5T_NATIVE_HBOOL, octave_H5S_ALL, octave_H5S_ALL, |
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419 octave_H5P_DEFAULT, htmp) >= 0; |
4687 | 420 |
421 H5Dclose (data_hid); | |
422 H5Sclose (space_hid); | |
4837 | 423 |
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424 #else |
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425 octave_unused_parameter (loc_id); |
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426 octave_unused_parameter (name); |
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427 |
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428 warn_save ("hdf5"); |
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429 #endif |
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430 |
4687 | 431 return retval; |
432 } | |
433 | |
434 bool | |
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435 octave_bool_matrix::load_hdf5 (octave_hdf5_id loc_id, const char *name) |
4687 | 436 { |
4837 | 437 bool retval = false; |
438 | |
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439 #if defined (HAVE_HDF5) |
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440 |
4805 | 441 dim_vector dv; |
442 int empty = load_hdf5_empty (loc_id, name, dv); | |
443 if (empty > 0) | |
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444 matrix.resize (dv); |
4837 | 445 if (empty) |
446 return (empty > 0); | |
4805 | 447 |
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448 #if defined (HAVE_HDF5_18) |
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449 hid_t data_hid = H5Dopen (loc_id, name, octave_H5P_DEFAULT); |
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450 #else |
4687 | 451 hid_t data_hid = H5Dopen (loc_id, name); |
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452 #endif |
4687 | 453 hid_t space_id = H5Dget_space (data_hid); |
454 | |
455 hsize_t rank = H5Sget_simple_extent_ndims (space_id); | |
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456 |
4687 | 457 if (rank < 1) |
458 { | |
459 H5Dclose (data_hid); | |
460 return false; | |
461 } | |
462 | |
463 OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank); | |
464 OCTAVE_LOCAL_BUFFER (hsize_t, maxdims, rank); | |
465 | |
466 H5Sget_simple_extent_dims (space_id, hdims, maxdims); | |
467 | |
468 // Octave uses column-major, while HDF5 uses row-major ordering | |
469 if (rank == 1) | |
470 { | |
471 dv.resize (2); | |
472 dv(0) = 1; | |
473 dv(1) = hdims[0]; | |
474 } | |
475 else | |
476 { | |
477 dv.resize (rank); | |
4815 | 478 for (hsize_t i = 0, j = rank - 1; i < rank; i++, j--) |
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479 dv(j) = hdims[i]; |
4687 | 480 } |
481 | |
5275 | 482 octave_idx_type nel = dv.numel (); |
6276 | 483 OCTAVE_LOCAL_BUFFER (hbool_t, htmp, nel); |
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484 if (H5Dread (data_hid, H5T_NATIVE_HBOOL, octave_H5S_ALL, octave_H5S_ALL, octave_H5P_DEFAULT, htmp) |
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485 >= 0) |
4687 | 486 { |
487 retval = true; | |
488 | |
489 boolNDArray btmp (dv); | |
5275 | 490 for (octave_idx_type i = 0; i < nel; i++) |
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491 btmp.elem (i) = htmp[i]; |
4687 | 492 |
493 matrix = btmp; | |
494 } | |
495 | |
496 H5Dclose (data_hid); | |
4837 | 497 |
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498 #else |
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499 octave_unused_parameter (loc_id); |
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500 octave_unused_parameter (name); |
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501 |
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502 warn_load ("hdf5"); |
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503 #endif |
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504 |
4687 | 505 return retval; |
506 } | |
4944 | 507 |
5900 | 508 mxArray * |
509 octave_bool_matrix::as_mxArray (void) const | |
510 { | |
511 mxArray *retval = new mxArray (mxLOGICAL_CLASS, dims (), mxREAL); | |
512 | |
513 bool *pr = static_cast<bool *> (retval->get_data ()); | |
514 | |
6686 | 515 mwSize nel = numel (); |
5900 | 516 |
517 const bool *p = matrix.data (); | |
518 | |
6686 | 519 for (mwIndex i = 0; i < nel; i++) |
5900 | 520 pr[i] = p[i]; |
521 | |
522 return retval; | |
523 } | |
524 | |
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525 DEFUN (logical, args, , |
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526 "-*- texinfo -*-\n\ |
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527 @deftypefn {} {} logical (@var{x})\n\ |
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528 Convert the numeric object @var{x} to logical type.\n\ |
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529 \n\ |
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530 Any nonzero values will be converted to true (1) while zero values will be\n\ |
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531 converted to false (0). The non-numeric value NaN cannot be converted and\n\ |
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532 will produce an error.\n\ |
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533 \n\ |
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534 Compatibility Note: Octave accepts complex values as input, whereas\n\ |
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535 @sc{matlab} issues an error.\n\ |
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536 @seealso{double, single, char}\n\ |
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537 @end deftypefn") |
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538 { |
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539 if (args.length () != 1) |
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540 print_usage (); |
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541 |
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542 octave_value retval; |
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543 |
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544 octave_value arg = args(0); |
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545 |
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546 if (arg.is_bool_type ()) |
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547 retval = arg; |
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548 else if (arg.is_numeric_type ()) |
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549 { |
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550 if (arg.is_sparse_type ()) |
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551 retval = arg.sparse_bool_matrix_value (); |
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552 else if (arg.is_scalar_type ()) |
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553 retval = arg.bool_value (); |
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554 else |
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555 retval = arg.bool_array_value (); |
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556 } |
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557 else |
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558 err_wrong_type_arg ("logical", arg); |
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559 |
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560 return retval; |
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561 } |
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562 |
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563 /* |
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564 %!test |
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565 %! m = eye (2) != 0; |
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566 %! s = ! 0; |
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567 %! c = {"double", "single", "int8", "int16", "int32", "int64", "uint8", "uint16", "uint32", "uint64", "logical"}; |
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568 %! for i = 1:numel (c) |
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569 %! assert (logical (eye (2, c{i})), m); |
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570 %! assert (logical (eye (1, c{i})), s); |
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571 %! endfor |
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572 */ |