Mercurial > hg > octave-nkf
annotate libinterp/octave-value/ov-bool-mat.cc @ 18605:f958e8cd6348
maint: Periodic merge of gui-release to default.
author | Rik <rik@octave.org> |
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date | Sat, 01 Mar 2014 22:11:32 -0800 |
parents | 6a71e5030df5 ea0d4dea1a17 |
children | 9ac2357f19bc |
rev | line source |
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2871 | 1 /* |
2 | |
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3 Copyright (C) 1996-2013 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 | |
25 #include <config.h> | |
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" |
2871 | 36 #include "gripes.h" |
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37 #include "mxarray.h" |
2871 | 38 #include "oct-obj.h" |
39 #include "ops.h" | |
3219 | 40 #include "ov-base.h" |
41 #include "ov-base-mat.h" | |
42 #include "ov-base-mat.cc" | |
2871 | 43 #include "ov-bool.h" |
44 #include "ov-bool-mat.h" | |
45 #include "ov-re-mat.h" | |
46 #include "pr-output.h" | |
47 | |
4687 | 48 #include "byte-swap.h" |
49 #include "ls-oct-ascii.h" | |
50 #include "ls-hdf5.h" | |
51 #include "ls-utils.h" | |
52 | |
4513 | 53 template class octave_base_matrix<boolNDArray>; |
2871 | 54 |
3219 | 55 DEFINE_OCTAVE_ALLOCATOR (octave_bool_matrix); |
2871 | 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 { |
63 CAST_CONV_ARG (const octave_bool_matrix&); | |
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 { | |
82 boolMatrix bm = matrix.matrix_value (); | |
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 |
4455 | 99 if (rows () > 0 && columns () > 0) |
100 { | |
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101 gripe_implicit_conversion ("Octave:array-to-scalar", |
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102 "bool matrix", "real scalar"); |
4455 | 103 |
104 retval = matrix (0, 0); | |
105 } | |
2871 | 106 else |
107 gripe_invalid_conversion ("bool matrix", "real scalar"); | |
108 | |
109 return retval; | |
110 } | |
111 | |
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112 float |
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113 octave_bool_matrix::float_value (bool) const |
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114 { |
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115 float retval = lo_ieee_float_nan_value (); |
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116 |
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117 if (rows () > 0 && columns () > 0) |
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118 { |
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119 gripe_implicit_conversion ("Octave:array-to-scalar", |
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120 "bool matrix", "real scalar"); |
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121 |
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122 retval = matrix (0, 0); |
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123 } |
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124 else |
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125 gripe_invalid_conversion ("bool matrix", "real scalar"); |
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126 |
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127 return retval; |
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128 } |
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129 |
2871 | 130 Complex |
131 octave_bool_matrix::complex_value (bool) const | |
132 { | |
4102 | 133 double tmp = lo_ieee_nan_value (); |
134 | |
135 Complex retval (tmp, tmp); | |
2871 | 136 |
4455 | 137 if (rows () > 0 && columns () > 0) |
138 { | |
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139 gripe_implicit_conversion ("Octave:array-to-scalar", |
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140 "bool matrix", "complex scalar"); |
4455 | 141 |
142 retval = matrix (0, 0); | |
143 } | |
2871 | 144 else |
145 gripe_invalid_conversion ("bool matrix", "complex scalar"); | |
146 | |
147 return retval; | |
148 } | |
149 | |
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150 FloatComplex |
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151 octave_bool_matrix::float_complex_value (bool) const |
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152 { |
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153 float tmp = lo_ieee_float_nan_value (); |
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154 |
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155 FloatComplex retval (tmp, tmp); |
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156 |
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157 if (rows () > 0 && columns () > 0) |
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158 { |
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159 gripe_implicit_conversion ("Octave:array-to-scalar", |
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160 "bool matrix", "complex scalar"); |
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161 |
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162 retval = matrix (0, 0); |
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163 } |
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164 else |
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165 gripe_invalid_conversion ("bool matrix", "complex scalar"); |
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166 |
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167 return retval; |
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168 } |
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169 |
4457 | 170 octave_value |
5279 | 171 octave_bool_matrix::convert_to_str_internal (bool pad, bool force, |
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172 char type) const |
4457 | 173 { |
4844 | 174 octave_value tmp = octave_value (array_value ()); |
5279 | 175 return tmp.convert_to_str (pad, force, type); |
4457 | 176 } |
177 | |
4643 | 178 void |
179 octave_bool_matrix::print_raw (std::ostream& os, | |
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180 bool pr_as_read_syntax) const |
4643 | 181 { |
182 octave_print_internal (os, matrix, pr_as_read_syntax, | |
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183 current_print_indent_level ()); |
4643 | 184 } |
185 | |
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186 bool |
6974 | 187 octave_bool_matrix::save_ascii (std::ostream& os) |
4687 | 188 { |
189 dim_vector d = dims (); | |
190 if (d.length () > 2) | |
191 { | |
192 NDArray tmp = array_value (); | |
193 os << "# ndims: " << d.length () << "\n"; | |
194 | |
5275 | 195 for (int i = 0; i < d.length (); i++) |
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196 os << " " << d (i); |
4687 | 197 |
198 os << "\n" << tmp; | |
199 } | |
200 else | |
201 { | |
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202 // Keep this case, rather than use generic code above for backward |
4687 | 203 // compatiability. Makes load_ascii much more complex!! |
204 os << "# rows: " << rows () << "\n" | |
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205 << "# columns: " << columns () << "\n"; |
4687 | 206 |
207 Matrix tmp = matrix_value (); | |
208 | |
209 os << tmp; | |
210 } | |
211 | |
212 return true; | |
213 } | |
214 | |
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215 bool |
4687 | 216 octave_bool_matrix::load_ascii (std::istream& is) |
217 { | |
218 bool success = true; | |
219 | |
5099 | 220 string_vector keywords (2); |
4687 | 221 |
5099 | 222 keywords[0] = "ndims"; |
223 keywords[1] = "rows"; | |
4687 | 224 |
5099 | 225 std::string kw; |
5275 | 226 octave_idx_type val = 0; |
4687 | 227 |
5099 | 228 if (extract_keyword (is, keywords, kw, val, true)) |
4687 | 229 { |
5099 | 230 if (kw == "ndims") |
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231 { |
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232 int mdims = static_cast<int> (val); |
4687 | 233 |
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234 if (mdims >= 0) |
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235 { |
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236 dim_vector dv; |
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237 dv.resize (mdims); |
5099 | 238 |
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239 for (int i = 0; i < mdims; i++) |
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240 is >> dv(i); |
5099 | 241 |
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242 if (is) |
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243 { |
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244 boolNDArray btmp (dv); |
6717 | 245 |
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246 if (btmp.is_empty ()) |
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247 matrix = btmp; |
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248 else |
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249 { |
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250 NDArray tmp(dv); |
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251 is >> tmp; |
5099 | 252 |
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253 if (is) |
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254 { |
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255 for (octave_idx_type i = 0; i < btmp.nelem (); i++) |
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256 btmp.elem (i) = (tmp.elem (i) != 0.); |
6717 | 257 |
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258 matrix = btmp; |
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259 } |
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260 else |
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261 { |
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262 error ("load: failed to load matrix constant"); |
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263 success = false; |
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264 } |
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265 } |
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266 } |
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267 else |
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268 { |
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269 error ("load: failed to extract dimensions"); |
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270 success = false; |
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271 } |
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272 } |
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273 else |
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274 { |
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275 error ("load: failed to extract number of dimensions"); |
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276 success = false; |
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277 } |
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278 } |
5099 | 279 else if (kw == "rows") |
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280 { |
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281 octave_idx_type nr = val; |
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282 octave_idx_type nc = 0; |
5099 | 283 |
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284 if (nr >= 0 && extract_keyword (is, "columns", nc) && nc >= 0) |
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285 { |
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286 if (nr > 0 && nc > 0) |
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287 { |
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288 Matrix tmp (nr, nc); |
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289 is >> tmp; |
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290 if (is) |
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291 { |
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292 boolMatrix btmp (nr, nc); |
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293 for (octave_idx_type j = 0; j < nc; j++) |
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294 for (octave_idx_type i = 0; i < nr; i++) |
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295 btmp.elem (i,j) = (tmp.elem (i, j) != 0.); |
6717 | 296 |
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297 matrix = btmp; |
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298 } |
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299 else |
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300 { |
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301 error ("load: failed to load matrix constant"); |
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302 success = false; |
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303 } |
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304 } |
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305 else if (nr == 0 || nc == 0) |
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306 matrix = boolMatrix (nr, nc); |
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307 else |
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308 panic_impossible (); |
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309 } |
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310 else |
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311 { |
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312 error ("load: failed to extract number of rows and columns"); |
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313 success = false; |
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314 } |
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315 } |
5099 | 316 else |
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317 panic_impossible (); |
5099 | 318 } |
319 else | |
320 { | |
321 error ("load: failed to extract number of rows and columns"); | |
322 success = false; | |
4687 | 323 } |
324 | |
325 return success; | |
326 } | |
327 | |
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328 bool |
4687 | 329 octave_bool_matrix::save_binary (std::ostream& os, bool& /* save_as_floats */) |
330 { | |
331 | |
332 dim_vector d = dims (); | |
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333 if (d.length () < 1) |
4687 | 334 return false; |
335 | |
336 // Use negative value for ndims to differentiate with old format!! | |
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337 int32_t tmp = - d.length (); |
5760 | 338 os.write (reinterpret_cast<char *> (&tmp), 4); |
5275 | 339 for (int i = 0; i < d.length (); i++) |
4687 | 340 { |
341 tmp = d(i); | |
5760 | 342 os.write (reinterpret_cast<char *> (&tmp), 4); |
4687 | 343 } |
344 | |
345 boolNDArray m = bool_array_value (); | |
346 bool *mtmp = m.fortran_vec (); | |
5275 | 347 octave_idx_type nel = m.nelem (); |
4687 | 348 OCTAVE_LOCAL_BUFFER (char, htmp, nel); |
349 | |
5275 | 350 for (octave_idx_type i = 0; i < nel; i++) |
4687 | 351 htmp[i] = (mtmp[i] ? 1 : 0); |
352 | |
353 os.write (htmp, nel); | |
354 | |
355 return true; | |
356 } | |
357 | |
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358 bool |
4687 | 359 octave_bool_matrix::load_binary (std::istream& is, bool swap, |
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360 oct_mach_info::float_format /* fmt */) |
4687 | 361 { |
5828 | 362 int32_t mdims; |
5760 | 363 if (! is.read (reinterpret_cast<char *> (&mdims), 4)) |
4687 | 364 return false; |
365 if (swap) | |
4944 | 366 swap_bytes<4> (&mdims); |
4687 | 367 if (mdims >= 0) |
368 return false; | |
369 | |
370 // mdims is negative for consistency with other matrices, where it is | |
371 // negative to allow the positive value to be used for rows/cols for | |
372 // backward compatibility | |
373 mdims = - mdims; | |
5828 | 374 int32_t di; |
4687 | 375 dim_vector dv; |
376 dv.resize (mdims); | |
377 | |
378 for (int i = 0; i < mdims; i++) | |
379 { | |
5760 | 380 if (! is.read (reinterpret_cast<char *> (&di), 4)) |
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381 return false; |
4687 | 382 if (swap) |
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383 swap_bytes<4> (&di); |
4687 | 384 dv(i) = di; |
385 } | |
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386 |
5157 | 387 // Convert an array with a single dimension to be a row vector. |
388 // Octave should never write files like this, other software | |
389 // might. | |
390 | |
391 if (mdims == 1) | |
392 { | |
393 mdims = 2; | |
394 dv.resize (mdims); | |
395 dv(1) = dv(0); | |
396 dv(0) = 1; | |
397 } | |
398 | |
5275 | 399 octave_idx_type nel = dv.numel (); |
4687 | 400 OCTAVE_LOCAL_BUFFER (char, htmp, nel); |
401 if (! is.read (htmp, nel)) | |
402 return false; | |
403 boolNDArray m(dv); | |
404 bool *mtmp = m.fortran_vec (); | |
5275 | 405 for (octave_idx_type i = 0; i < nel; i++) |
4687 | 406 mtmp[i] = (htmp[i] ? 1 : 0); |
407 matrix = m; | |
408 | |
409 return true; | |
410 } | |
411 | |
412 #if defined (HAVE_HDF5) | |
4944 | 413 |
4687 | 414 bool |
415 octave_bool_matrix::save_hdf5 (hid_t loc_id, const char *name, | |
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416 bool /* save_as_floats */) |
4687 | 417 { |
4837 | 418 dim_vector dv = dims (); |
419 int empty = save_hdf5_empty (loc_id, name, dv); | |
420 if (empty) | |
4805 | 421 return (empty > 0); |
422 | |
4837 | 423 int rank = dv.length (); |
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424 hid_t space_hid, data_hid; |
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425 space_hid = data_hid = -1; |
4687 | 426 bool retval = true; |
427 boolNDArray m = bool_array_value (); | |
428 | |
4805 | 429 OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank); |
430 | |
4687 | 431 // Octave uses column-major, while HDF5 uses row-major ordering |
4805 | 432 for (int i = 0; i < rank; i++) |
4837 | 433 hdims[i] = dv (rank-i-1); |
4687 | 434 |
4815 | 435 space_hid = H5Screate_simple (rank, hdims, 0); |
4687 | 436 if (space_hid < 0) return false; |
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437 #if HAVE_HDF5_18 |
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438 data_hid = H5Dcreate (loc_id, name, H5T_NATIVE_HBOOL, space_hid, |
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439 H5P_DEFAULT, H5P_DEFAULT, H5P_DEFAULT); |
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440 #else |
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441 data_hid = H5Dcreate (loc_id, name, H5T_NATIVE_HBOOL, space_hid, |
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442 H5P_DEFAULT); |
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443 #endif |
4687 | 444 if (data_hid < 0) |
445 { | |
446 H5Sclose (space_hid); | |
447 return false; | |
448 } | |
449 | |
5275 | 450 octave_idx_type nel = m.nelem (); |
4687 | 451 bool *mtmp = m.fortran_vec (); |
6276 | 452 OCTAVE_LOCAL_BUFFER (hbool_t, htmp, nel); |
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453 |
5275 | 454 for (octave_idx_type i = 0; i < nel; i++) |
4687 | 455 htmp[i] = mtmp[i]; |
456 | |
457 retval = H5Dwrite (data_hid, H5T_NATIVE_HBOOL, H5S_ALL, H5S_ALL, | |
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458 H5P_DEFAULT, htmp) >= 0; |
4687 | 459 |
460 H5Dclose (data_hid); | |
461 H5Sclose (space_hid); | |
4837 | 462 |
4687 | 463 return retval; |
464 } | |
465 | |
466 bool | |
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467 octave_bool_matrix::load_hdf5 (hid_t loc_id, const char *name) |
4687 | 468 { |
4837 | 469 bool retval = false; |
470 | |
4805 | 471 dim_vector dv; |
472 int empty = load_hdf5_empty (loc_id, name, dv); | |
473 if (empty > 0) | |
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474 matrix.resize (dv); |
4837 | 475 if (empty) |
476 return (empty > 0); | |
4805 | 477 |
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478 #if HAVE_HDF5_18 |
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479 hid_t data_hid = H5Dopen (loc_id, name, H5P_DEFAULT); |
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480 #else |
4687 | 481 hid_t data_hid = H5Dopen (loc_id, name); |
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482 #endif |
4687 | 483 hid_t space_id = H5Dget_space (data_hid); |
484 | |
485 hsize_t rank = H5Sget_simple_extent_ndims (space_id); | |
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486 |
4687 | 487 if (rank < 1) |
488 { | |
489 H5Dclose (data_hid); | |
490 return false; | |
491 } | |
492 | |
493 OCTAVE_LOCAL_BUFFER (hsize_t, hdims, rank); | |
494 OCTAVE_LOCAL_BUFFER (hsize_t, maxdims, rank); | |
495 | |
496 H5Sget_simple_extent_dims (space_id, hdims, maxdims); | |
497 | |
498 // Octave uses column-major, while HDF5 uses row-major ordering | |
499 if (rank == 1) | |
500 { | |
501 dv.resize (2); | |
502 dv(0) = 1; | |
503 dv(1) = hdims[0]; | |
504 } | |
505 else | |
506 { | |
507 dv.resize (rank); | |
4815 | 508 for (hsize_t i = 0, j = rank - 1; i < rank; i++, j--) |
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509 dv(j) = hdims[i]; |
4687 | 510 } |
511 | |
5275 | 512 octave_idx_type nel = dv.numel (); |
6276 | 513 OCTAVE_LOCAL_BUFFER (hbool_t, htmp, nel); |
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514 if (H5Dread (data_hid, H5T_NATIVE_HBOOL, H5S_ALL, H5S_ALL, H5P_DEFAULT, htmp) |
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515 >= 0) |
4687 | 516 { |
517 retval = true; | |
518 | |
519 boolNDArray btmp (dv); | |
5275 | 520 for (octave_idx_type i = 0; i < nel; i++) |
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521 btmp.elem (i) = htmp[i]; |
4687 | 522 |
523 matrix = btmp; | |
524 } | |
525 | |
526 H5Dclose (data_hid); | |
4837 | 527 |
4687 | 528 return retval; |
529 } | |
4944 | 530 |
4687 | 531 #endif |
532 | |
5900 | 533 mxArray * |
534 octave_bool_matrix::as_mxArray (void) const | |
535 { | |
536 mxArray *retval = new mxArray (mxLOGICAL_CLASS, dims (), mxREAL); | |
537 | |
538 bool *pr = static_cast<bool *> (retval->get_data ()); | |
539 | |
6686 | 540 mwSize nel = numel (); |
5900 | 541 |
542 const bool *p = matrix.data (); | |
543 | |
6686 | 544 for (mwIndex i = 0; i < nel; i++) |
5900 | 545 pr[i] = p[i]; |
546 | |
547 return retval; | |
548 } | |
549 | |
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550 DEFUN (logical, args, , |
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551 "-*- texinfo -*-\n\ |
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552 @deftypefn {Built-in Function} {} logical (@var{x})\n\ |
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553 Convert the numeric object @var{x} to logical type.\n\ |
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554 \n\ |
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555 Any non-zero values will be converted to true (1) while zero values\n\ |
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556 will be converted to false (0). The non-numeric value NaN cannot be\n\ |
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557 converted and will produce an error.\n\ |
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558 \n\ |
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559 Compatibility Note: Octave accepts complex values as input, whereas\n\ |
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560 @sc{matlab} issues an error.\n\ |
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561 @seealso{double, single, char}\n\ |
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562 @end deftypefn") |
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563 { |
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564 octave_value retval; |
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565 |
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566 if (args.length () == 1) |
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567 { |
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568 octave_value arg = args(0); |
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569 if (arg.is_bool_type ()) |
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570 retval = arg; |
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571 else if (arg.is_numeric_type ()) |
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572 { |
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573 if (arg.is_sparse_type ()) |
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574 retval = arg.sparse_bool_matrix_value (); |
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575 else if (arg.is_scalar_type ()) |
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576 retval = arg.bool_value (); |
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577 else |
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578 retval = arg.bool_array_value (); |
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579 } |
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580 else |
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581 gripe_wrong_type_arg ("logical", arg); |
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582 } |
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583 else |
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584 print_usage (); |
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585 |
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586 return retval; |
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587 } |
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588 |
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589 /* |
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590 %!test |
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591 %! m = eye (2) != 0; |
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592 %! s = !0; |
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593 %! c = {"double", "single", "int8", "int16", "int32", "int64", "uint8", "uint16", "uint32", "uint64", "logical"}; |
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594 %! for i = 1:numel (c) |
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595 %! assert (logical (eye (2, c{i})), m) |
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596 %! assert (logical (eye (1, c{i})), s) |
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597 %! endfor |
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598 */ |