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annotate src/DLD-FUNCTIONS/cellfun.cc @ 9036:58604c45ca74
Cleanup of data types related documentation
Files: data.texi, numbers.texi, strings.texi, container.texi
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| author | Rik <rdrider0-list@yahoo.com> |
|---|---|
| date | Sat, 21 Mar 2009 15:52:41 -0700 |
| parents | eb63fbe60fab |
| children | 97aa01a85ea4 |
| rev | line source |
|---|---|
| 5205 | 1 /* |
| 2 | |
| 8920 | 3 Copyright (C) 2005, 2006, 2007, 2008, 2009 Mohamed Kamoun |
| 5205 | 4 |
| 5 This file is part of Octave. | |
| 6 | |
| 7 Octave is free software; you can redistribute it and/or modify it | |
| 8 under the terms of the GNU General Public License as published by the | |
| 7016 | 9 Free Software Foundation; either version 3 of the License, or (at your |
| 10 option) any later version. | |
| 5205 | 11 |
| 12 Octave is distributed in the hope that it will be useful, but WITHOUT | |
| 13 ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or | |
| 14 FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License | |
| 15 for more details. | |
| 16 | |
| 17 You should have received a copy of the GNU General Public License | |
| 7016 | 18 along with Octave; see the file COPYING. If not, see |
| 19 <http://www.gnu.org/licenses/>. | |
| 5205 | 20 |
| 21 */ | |
| 22 | |
| 23 #ifdef HAVE_CONFIG_H | |
| 24 #include <config.h> | |
| 25 #endif | |
| 26 | |
| 27 #include <string> | |
| 5988 | 28 #include <vector> |
| 29 #include <list> | |
| 5205 | 30 |
| 31 #include "lo-mappers.h" | |
|
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32 #include "oct-locbuf.h" |
| 5205 | 33 |
| 34 #include "Cell.h" | |
| 5988 | 35 #include "oct-map.h" |
| 5205 | 36 #include "defun-dld.h" |
| 37 #include "parse.h" | |
| 38 #include "variables.h" | |
| 5451 | 39 #include "ov-colon.h" |
| 5988 | 40 #include "unwind-prot.h" |
| 5205 | 41 |
| 5988 | 42 DEFUN_DLD (cellfun, args, nargout, |
| 8715 | 43 "-*- texinfo -*-\n\ |
| 6854 | 44 @deftypefn {Loadable Function} {} cellfun (@var{name}, @var{c})\n\ |
| 45 @deftypefnx {Loadable Function} {} cellfun (\"size\", @var{c}, @var{k})\n\ | |
| 46 @deftypefnx {Loadable Function} {} cellfun (\"isclass\", @var{c}, @var{class})\n\ | |
| 47 @deftypefnx {Loadable Function} {} cellfun (@var{func}, @var{c})\n\ | |
| 48 @deftypefnx {Loadable Function} {} cellfun (@var{func}, @var{c}, @var{d})\n\ | |
| 49 @deftypefnx {Loadable Function} {[@var{a}, @var{b}] =} cellfun (@dots{})\n\ | |
| 50 @deftypefnx {Loadable Function} {} cellfun (@dots{}, 'ErrorHandler', @var{errfunc})\n\ | |
| 51 @deftypefnx {Loadable Function} {} cellfun (@dots{}, 'UniformOutput', @var{val})\n\ | |
| 5205 | 52 \n\ |
| 53 Evaluate the function named @var{name} on the elements of the cell array\n\ | |
| 5543 | 54 @var{c}. Elements in @var{c} are passed on to the named function\n\ |
| 5205 | 55 individually. The function @var{name} can be one of the functions\n\ |
| 56 \n\ | |
| 57 @table @code\n\ | |
| 58 @item isempty\n\ | |
| 5543 | 59 Return 1 for empty elements.\n\ |
| 5205 | 60 @item islogical\n\ |
| 61 Return 1 for logical elements.\n\ | |
| 62 @item isreal\n\ | |
| 63 Return 1 for real elements.\n\ | |
| 64 @item length\n\ | |
| 65 Return a vector of the lengths of cell elements.\n\ | |
| 5543 | 66 @item ndims\n\ |
| 5205 | 67 Return the number of dimensions of each element.\n\ |
| 68 @item prodofsize\n\ | |
| 69 Return the product of dimensions of each element.\n\ | |
| 70 @item size\n\ | |
| 71 Return the size along the @var{k}-th dimension.\n\ | |
| 72 @item isclass\n\ | |
| 73 Return 1 for elements of @var{class}.\n\ | |
| 74 @end table\n\ | |
| 75 \n\ | |
| 76 Additionally, @code{cellfun} accepts an arbitrary function @var{func}\n\ | |
| 77 in the form of an inline function, function handle, or the name of a\n\ | |
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78 function (in a character string). In the case of a character string\n\ |
| 5988 | 79 argument, the function must accept a single argument named @var{x}, and\n\ |
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80 it must return a string value. The function can take one or more arguments,\n\ |
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81 with the inputs args given by @var{c}, @var{d}, etc. Equally the function\n\ |
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82 can return one or more output arguments. For example\n\ |
| 5205 | 83 \n\ |
| 84 @example\n\ | |
| 85 @group\n\ | |
| 5988 | 86 cellfun (@@atan2, @{1, 0@}, @{0, 1@})\n\ |
| 87 @result{}ans = [1.57080 0.00000]\n\ | |
| 88 @end group\n\ | |
| 89 @end example\n\ | |
| 90 \n\ | |
| 91 Note that the default output argument is an array of the same size as the\n\ | |
| 92 input arguments.\n\ | |
| 93 \n\ | |
| 8828 | 94 If the parameter 'UniformOutput' is set to true (the default), then the function\n\ |
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95 must return a single element which will be concatenated into the\n\ |
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96 return value. If 'UniformOutput' is false, the outputs are concatenated in\n\ |
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97 a cell array. For example\n\ |
| 5988 | 98 \n\ |
| 99 @example\n\ | |
| 100 @group\n\ | |
| 6623 | 101 cellfun (\"tolower(x)\", @{\"Foo\", \"Bar\", \"FooBar\"@},\n\ |
| 102 \"UniformOutput\",false)\n\ | |
| 5205 | 103 @result{} ans = @{\"foo\", \"bar\", \"foobar\"@}\n\ |
| 104 @end group\n\ | |
| 105 @end example\n\ | |
| 5988 | 106 \n\ |
| 107 Given the parameter 'ErrorHandler', then @var{errfunc} defines a function to\n\ | |
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108 call in case @var{func} generates an error. The form of the function is\n\ |
| 5988 | 109 \n\ |
| 110 @example\n\ | |
| 111 function [@dots{}] = errfunc (@var{s}, @dots{})\n\ | |
| 112 @end example\n\ | |
| 113 \n\ | |
| 114 where there is an additional input argument to @var{errfunc} relative to\n\ | |
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115 @var{func}, given by @var{s}. This is a structure with the elements\n\ |
| 5988 | 116 'identifier', 'message' and 'index', giving respectively the error\n\ |
| 117 identifier, the error message, and the index into the input arguments\n\ | |
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118 of the element that caused the error. For example\n\ |
| 5988 | 119 \n\ |
| 120 @example\n\ | |
| 121 @group\n\ | |
| 122 function y = foo (s, x), y = NaN; endfunction\n\ | |
| 123 cellfun (@@factorial, @{-1,2@},'ErrorHandler',@@foo)\n\ | |
| 124 @result{} ans = [NaN 2]\n\ | |
| 125 @end group\n\ | |
| 126 @end example\n\ | |
| 127 \n\ | |
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128 @seealso{isempty, islogical, isreal, length, ndims, numel, size}\n\ |
| 5642 | 129 @end deftypefn") |
| 5205 | 130 { |
| 5988 | 131 octave_value_list retval; |
| 5205 | 132 std::string name = "function"; |
| 133 octave_function *func = 0; | |
| 134 int nargin = args.length (); | |
| 5988 | 135 nargout = (nargout < 1 ? 1 : nargout); |
| 5205 | 136 |
| 137 if (nargin < 2) | |
| 138 { | |
| 139 error ("cellfun: you must supply at least 2 arguments"); | |
| 5823 | 140 print_usage (); |
| 5205 | 141 return retval; |
| 142 } | |
| 143 | |
| 144 if (args(0).is_function_handle () || args(0).is_inline_function ()) | |
| 145 { | |
| 146 func = args(0).function_value (); | |
| 147 | |
| 148 if (error_state) | |
| 149 return retval; | |
| 150 } | |
| 151 else if (args(0).is_string ()) | |
| 152 name = args(0).string_value (); | |
| 153 else | |
| 154 { | |
| 5543 | 155 error ("cellfun: first argument must be a string or function handle"); |
| 5205 | 156 return retval; |
| 157 } | |
| 158 | |
| 159 if (! args(1).is_cell ()) | |
| 160 { | |
| 5543 | 161 error ("cellfun: second argument must be a cell array"); |
| 5205 | 162 |
| 163 return retval; | |
| 164 } | |
| 165 | |
| 166 Cell f_args = args(1).cell_value (); | |
| 167 | |
| 5988 | 168 octave_idx_type k = f_args.numel (); |
| 5205 | 169 |
| 170 if (name == "isempty") | |
| 171 { | |
| 172 boolNDArray result (f_args.dims ()); | |
| 5988 | 173 for (octave_idx_type count = 0; count < k ; count++) |
| 5543 | 174 result(count) = f_args.elem(count).is_empty (); |
| 5988 | 175 retval(0) = result; |
| 5205 | 176 } |
| 177 else if (name == "islogical") | |
| 178 { | |
| 179 boolNDArray result (f_args.dims ()); | |
| 5988 | 180 for (octave_idx_type count= 0; count < k ; count++) |
| 5205 | 181 result(count) = f_args.elem(count).is_bool_type (); |
| 5988 | 182 retval(0) = result; |
| 5205 | 183 } |
| 184 else if (name == "isreal") | |
| 185 { | |
| 186 boolNDArray result (f_args.dims ()); | |
| 5988 | 187 for (octave_idx_type count= 0; count < k ; count++) |
| 5205 | 188 result(count) = f_args.elem(count).is_real_type (); |
| 5988 | 189 retval(0) = result; |
| 5205 | 190 } |
| 191 else if (name == "length") | |
| 192 { | |
| 193 NDArray result (f_args.dims ()); | |
| 5988 | 194 for (octave_idx_type count= 0; count < k ; count++) |
| 5544 | 195 result(count) = static_cast<double> (f_args.elem(count).length ()); |
| 5988 | 196 retval(0) = result; |
| 5205 | 197 } |
| 198 else if (name == "ndims") | |
| 199 { | |
| 200 NDArray result (f_args.dims ()); | |
| 5988 | 201 for (octave_idx_type count = 0; count < k ; count++) |
| 5544 | 202 result(count) = static_cast<double> (f_args.elem(count).ndims ()); |
| 5988 | 203 retval(0) = result; |
| 5205 | 204 } |
| 205 else if (name == "prodofsize") | |
| 206 { | |
| 207 NDArray result (f_args.dims ()); | |
| 5988 | 208 for (octave_idx_type count = 0; count < k ; count++) |
| 5544 | 209 result(count) = static_cast<double> (f_args.elem(count).numel ()); |
| 5988 | 210 retval(0) = result; |
| 5205 | 211 } |
| 212 else if (name == "size") | |
| 213 { | |
| 214 if (nargin == 3) | |
| 215 { | |
| 216 int d = args(2).nint_value () - 1; | |
| 217 | |
| 218 if (d < 0) | |
| 7001 | 219 error ("cellfun: third argument must be a positive integer"); |
| 5205 | 220 |
| 6484 | 221 if (! error_state) |
| 5205 | 222 { |
| 223 NDArray result (f_args.dims ()); | |
| 5988 | 224 for (octave_idx_type count = 0; count < k ; count++) |
| 5205 | 225 { |
| 226 dim_vector dv = f_args.elem(count).dims (); | |
| 227 if (d < dv.length ()) | |
| 5544 | 228 result(count) = static_cast<double> (dv(d)); |
| 5205 | 229 else |
| 230 result(count) = 1.0; | |
| 231 } | |
| 5988 | 232 retval(0) = result; |
| 5205 | 233 } |
| 234 } | |
| 235 else | |
| 5543 | 236 error ("not enough arguments for `size'"); |
| 5205 | 237 } |
| 238 else if (name == "isclass") | |
| 239 { | |
| 240 if (nargin == 3) | |
| 241 { | |
| 242 std::string class_name = args(2).string_value(); | |
| 243 boolNDArray result (f_args.dims ()); | |
| 5988 | 244 for (octave_idx_type count = 0; count < k ; count++) |
| 5205 | 245 result(count) = (f_args.elem(count).class_name() == class_name); |
| 246 | |
| 5988 | 247 retval(0) = result; |
| 5205 | 248 } |
| 249 else | |
| 5543 | 250 error ("not enough arguments for `isclass'"); |
| 5205 | 251 } |
| 252 else | |
| 253 { | |
| 5988 | 254 unwind_protect::begin_frame ("Fcellfun"); |
| 255 unwind_protect_int (buffer_error_messages); | |
| 256 | |
| 5205 | 257 std::string fcn_name; |
| 258 | |
| 259 if (! func) | |
| 260 { | |
| 261 fcn_name = unique_symbol_name ("__cellfun_fcn_"); | |
| 262 std::string fname = "function y = "; | |
| 263 fname.append (fcn_name); | |
| 264 fname.append ("(x) y = "); | |
| 265 func = extract_function (args(0), "cellfun", fcn_name, fname, | |
| 266 "; endfunction"); | |
| 267 } | |
| 268 | |
| 269 if (! func) | |
| 270 error ("unknown function"); | |
| 271 else | |
| 272 { | |
| 5988 | 273 octave_value_list idx; |
| 274 octave_value_list inputlist; | |
| 6484 | 275 bool uniform_output = true; |
| 276 bool have_error_handler = false; | |
| 5988 | 277 std::string err_name; |
| 6484 | 278 octave_function *error_handler = 0; |
| 5988 | 279 int offset = 1; |
| 280 int i = 1; | |
| 281 OCTAVE_LOCAL_BUFFER (Cell, inputs, nargin); | |
| 5205 | 282 |
| 5988 | 283 while (i < nargin) |
| 5205 | 284 { |
| 5988 | 285 if (args(i).is_string()) |
| 286 { | |
| 287 std::string arg = args(i++).string_value(); | |
| 288 if (i == nargin) | |
| 289 { | |
| 290 error ("cellfun: parameter value is missing"); | |
| 291 goto cellfun_err; | |
| 292 } | |
| 293 | |
| 294 std::transform (arg.begin (), arg.end (), | |
| 295 arg.begin (), tolower); | |
| 296 | |
| 297 if (arg == "uniformoutput") | |
| 6484 | 298 uniform_output = args(i++).bool_value(); |
| 5988 | 299 else if (arg == "errorhandler") |
| 300 { | |
| 301 if (args(i).is_function_handle () || | |
| 302 args(i).is_inline_function ()) | |
| 303 { | |
| 6484 | 304 error_handler = args(i).function_value (); |
| 5205 | 305 |
| 5988 | 306 if (error_state) |
| 307 goto cellfun_err; | |
| 308 } | |
| 309 else if (args(i).is_string ()) | |
| 310 { | |
| 311 err_name = unique_symbol_name ("__cellfun_fcn_"); | |
| 312 std::string fname = "function y = "; | |
| 313 fname.append (fcn_name); | |
| 314 fname.append ("(x) y = "); | |
| 6484 | 315 error_handler = extract_function (args(i), "cellfun", |
| 316 err_name, fname, | |
| 317 "; endfunction"); | |
| 5988 | 318 } |
| 319 | |
| 6484 | 320 if (! error_handler) |
| 5988 | 321 goto cellfun_err; |
| 322 | |
| 6484 | 323 have_error_handler = true; |
| 5988 | 324 i++; |
| 325 } | |
| 326 else | |
| 327 { | |
| 328 error ("cellfun: unrecognized parameter %s", | |
| 329 arg.c_str()); | |
| 330 goto cellfun_err; | |
| 331 } | |
| 332 offset += 2; | |
| 333 } | |
| 334 else | |
| 335 { | |
| 336 inputs[i-offset] = args(i).cell_value (); | |
| 337 if (f_args.dims() != inputs[i-offset].dims()) | |
| 338 { | |
| 339 error ("cellfun: Dimension mismatch"); | |
| 340 goto cellfun_err; | |
| 341 | |
| 342 } | |
| 343 i++; | |
| 344 } | |
| 5205 | 345 } |
| 346 | |
| 5988 | 347 inputlist.resize(nargin-offset); |
| 348 | |
| 6484 | 349 if (have_error_handler) |
| 5988 | 350 buffer_error_messages++; |
| 351 | |
| 6484 | 352 if (uniform_output) |
| 5988 | 353 { |
| 354 retval.resize(nargout); | |
| 355 | |
| 356 for (octave_idx_type count = 0; count < k ; count++) | |
| 357 { | |
| 5989 | 358 for (int j = 0; j < nargin-offset; j++) |
| 359 inputlist(j) = inputs[j](count); | |
| 5988 | 360 |
| 361 octave_value_list tmp = feval (func, inputlist, nargout); | |
| 362 | |
| 6484 | 363 if (error_state && have_error_handler) |
| 5988 | 364 { |
| 365 Octave_map msg; | |
|
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366 msg.assign ("identifier", last_error_id ()); |
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367 msg.assign ("message", last_error_message ()); |
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Modify Fcellfun to directly access the error message/id rather than use a call to Flasterr
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368 msg.assign ("index", octave_value(double (count + static_cast<octave_idx_type>(1)))); |
| 5988 | 369 octave_value_list errlist = inputlist; |
| 370 errlist.prepend (msg); | |
| 371 buffer_error_messages--; | |
| 372 error_state = 0; | |
| 6484 | 373 tmp = feval (error_handler, errlist, nargout); |
| 5988 | 374 buffer_error_messages++; |
| 375 | |
| 376 if (error_state) | |
| 377 goto cellfun_err; | |
| 378 } | |
| 379 | |
| 380 if (tmp.length() < nargout) | |
| 381 { | |
| 382 error ("cellfun: too many output arguments"); | |
| 383 goto cellfun_err; | |
| 384 } | |
| 385 | |
| 386 if (error_state) | |
| 387 break; | |
| 388 | |
| 389 if (count == 0) | |
| 390 { | |
| 5989 | 391 for (int j = 0; j < nargout; j++) |
| 5988 | 392 { |
| 393 octave_value val; | |
| 5989 | 394 val = tmp(j); |
| 5988 | 395 |
| 396 if (error_state) | |
| 397 goto cellfun_err; | |
| 398 | |
| 6422 | 399 retval(j) = val.resize(f_args.dims()); |
| 5988 | 400 } |
| 401 } | |
| 402 else | |
| 403 { | |
| 404 idx(0) = octave_value (static_cast<double>(count+1)); | |
| 5989 | 405 for (int j = 0; j < nargout; j++) |
| 406 { | |
| 407 // FIXME -- need an easier way to express | |
| 408 // this test. | |
| 409 octave_value val = tmp(j); | |
| 410 | |
| 411 if (val.ndims () == 2 | |
| 412 && val.rows () == 1 && val.columns () == 1) | |
| 413 retval(j) = | |
| 414 retval(j).subsasgn ("(", | |
| 415 std::list<octave_value_list> | |
| 416 (1, idx(0)), val); | |
| 417 else | |
| 418 error ("cellfun: expecting all values to be scalars for UniformOutput = true"); | |
| 419 } | |
| 5988 | 420 } |
| 421 | |
| 422 if (error_state) | |
| 423 break; | |
| 424 } | |
| 425 } | |
| 426 else | |
| 427 { | |
| 428 OCTAVE_LOCAL_BUFFER (Cell, results, nargout); | |
| 5989 | 429 for (int j = 0; j < nargout; j++) |
| 430 results[j].resize(f_args.dims()); | |
| 5988 | 431 |
| 432 for (octave_idx_type count = 0; count < k ; count++) | |
| 433 { | |
| 5989 | 434 for (int j = 0; j < nargin-offset; j++) |
| 435 inputlist(j) = inputs[j](count); | |
| 5988 | 436 |
| 437 octave_value_list tmp = feval (func, inputlist, nargout); | |
| 438 | |
| 6484 | 439 if (error_state && have_error_handler) |
| 5988 | 440 { |
| 441 Octave_map msg; | |
|
7977
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parents:
7038
diff
changeset
|
442 msg.assign ("identifier", last_error_id ()); |
|
065c28e1c368
Modify Fcellfun to directly access the error message/id rather than use a call to Flasterr
David Bateman <dbateman@free.fr>
parents:
7038
diff
changeset
|
443 msg.assign ("message", last_error_message ()); |
|
065c28e1c368
Modify Fcellfun to directly access the error message/id rather than use a call to Flasterr
David Bateman <dbateman@free.fr>
parents:
7038
diff
changeset
|
444 msg.assign ("index", octave_value(double (count + static_cast<octave_idx_type>(1)))); |
| 5988 | 445 octave_value_list errlist = inputlist; |
| 446 errlist.prepend (msg); | |
| 447 buffer_error_messages--; | |
| 448 error_state = 0; | |
| 6484 | 449 tmp = feval (error_handler, errlist, nargout); |
| 5988 | 450 buffer_error_messages++; |
| 451 | |
| 452 if (error_state) | |
| 453 goto cellfun_err; | |
| 454 } | |
| 455 | |
| 456 if (tmp.length() < nargout) | |
| 457 { | |
| 458 error ("cellfun: too many output arguments"); | |
| 459 goto cellfun_err; | |
| 460 } | |
| 461 | |
| 462 if (error_state) | |
| 463 break; | |
| 464 | |
| 465 | |
| 5989 | 466 for (int j = 0; j < nargout; j++) |
| 467 results[j](count) = tmp(j); | |
| 5988 | 468 } |
| 469 | |
| 470 retval.resize(nargout); | |
| 5989 | 471 for (int j = 0; j < nargout; j++) |
| 472 retval(j) = results[j]; | |
| 5988 | 473 } |
| 474 | |
| 475 cellfun_err: | |
| 476 if (error_state) | |
| 477 retval = octave_value_list(); | |
| 5205 | 478 |
| 479 if (! fcn_name.empty ()) | |
| 480 clear_function (fcn_name); | |
| 5988 | 481 |
| 482 if (! err_name.empty ()) | |
| 483 clear_function (err_name); | |
| 5205 | 484 } |
| 5988 | 485 |
| 486 unwind_protect::run_frame ("Fcellfun"); | |
| 5205 | 487 } |
| 488 | |
| 489 return retval; | |
| 490 } | |
| 491 | |
| 5988 | 492 /* |
| 493 | |
|
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494 %% Test function to check the "Errorhandler" option |
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495 %!function [z] = cellfunerror (S, varargin) |
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496 %! z = S; |
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497 %! endfunction |
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498 |
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499 %% First input argument can be a string, an inline function, |
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500 %% a function_handle or an anonymous function |
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501 %!test |
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502 %! A = cellfun ("islogical", {true, 0.1, false, i*2}); |
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503 %! assert (A, [true, false, true, false]); |
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504 %!test |
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505 %! A = cellfun (inline ("islogical (x)", "x"), {true, 0.1, false, i*2}); |
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506 %! assert (A, [true, false, true, false]); |
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507 %!test |
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508 %! A = cellfun (@islogical, {true, 0.1, false, i*2}); |
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509 %! assert (A, [true, false, true, false]); |
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510 %!test |
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511 %! A = cellfun (@(x) islogical(x), {true, 0.1, false, i*2}); |
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512 %! assert (A, [true, false, true, false]); |
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513 |
|
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514 %% First input argument can be the special string "isreal", |
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515 %% "isempty", "islogical", "length", "ndims" or "prodofsize" |
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516 %!test |
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517 %! A = cellfun ("isreal", {true, 0.1, false, i*2, [], "abc"}); |
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518 %! assert (A, [true, true, true, false, true, false]); |
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519 %!test |
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520 %! A = cellfun ("isempty", {true, 0.1, false, i*2, [], "abc"}); |
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521 %! assert (A, [false, false, false, false, true, false]); |
|
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522 %!test |
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523 %! A = cellfun ("islogical", {true, 0.1, false, i*2, [], "abc"}); |
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524 %! assert (A, [true, false, true, false, false, false]); |
|
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525 %!test |
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526 %! A = cellfun ("length", {true, 0.1, false, i*2, [], "abc"}); |
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527 %! assert (A, [1, 1, 1, 1, 0, 3]); |
|
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528 %!test |
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529 %! A = cellfun ("ndims", {[1, 2; 3, 4]; (cell (1,2,3,4))}); |
|
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530 %! assert (A, [2; 4]); |
|
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531 %!test |
|
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532 %! A = cellfun ("prodofsize", {[1, 2; 3, 4], (cell (1,2,3,4))}); |
|
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|
533 %! assert (A, [4, 24]); |
|
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534 |
|
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|
535 %% Number of input and output arguments may not be limited to one |
|
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536 %!test |
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537 %! A = cellfun (@(x,y,z) x + y + z, {1, 1, 1}, {2, 2, 2}, {3, 4, 5}); |
|
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538 %! assert (A, [6, 7, 8]); |
|
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539 %!test |
|
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540 %! A = cellfun (@(x,y,z) x + y + z, {1, 1, 1}, {2, 2, 2}, {3, 4, 5}, \ |
|
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|
541 %! "UniformOutput", false); |
|
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|
542 %! assert (A, {6, 7, 8}); |
|
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|
543 %!test %% Two input arguments of different types |
|
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544 %! A = cellfun (@(x,y) islogical (x) && ischar (y), {false, true}, {"a", 3}); |
|
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|
545 %! assert (A, [true, false]); |
|
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546 %!test %% Pass another variable to the anonymous function |
|
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547 %! y = true; A = cellfun (@(x) islogical (x) && y, {false, 0.3}); |
|
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|
548 %! assert (A, [true, false]); |
|
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549 %!test %% Three ouptut arguments of different type |
|
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550 %! [A, B, C] = cellfun (@find, {10, 11; 0, 12}, "UniformOutput", false); |
|
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|
551 %! assert (isequal (A, {true, true; [], true})); |
|
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552 %! assert (isequal (B, {true, true; [], true})); |
|
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553 %! assert (isequal (C, {10, 11; [], 12})); |
|
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|
554 |
|
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|
555 %% Input arguments can be of type cell array of logical |
|
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|
556 %!test |
|
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|
557 %! A = cellfun (@(x,y) x == y, {false, true}, {true, true}); |
|
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|
558 %! assert (A, [false, true]); |
|
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|
559 %!test |
|
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|
560 %! A = cellfun (@(x,y) x == y, {false; true}, {true; true}, \ |
|
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|
561 %! "UniformOutput", true); |
|
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|
562 %! assert (A, [false; true]); |
|
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|
563 %!test |
|
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|
564 %! A = cellfun (@(x) x, {false, true; false, true}, "UniformOutput", false); |
|
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|
565 %! assert (A, {false, true; false, true}); |
|
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|
566 %!test %% Three ouptut arguments of same type |
|
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567 %! [A, B, C] = cellfun (@find, {true, false; false, true}, \ |
|
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|
568 %! "UniformOutput", false); |
|
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|
569 %! assert (isequal (A, {true, []; [], true})); |
|
63fe023d7898
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|
570 %! assert (isequal (B, {true, []; [], true})); |
|
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|
571 %! assert (isequal (C, {true, []; [], true})); |
|
63fe023d7898
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|
572 %!test |
|
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|
573 %! A = cellfun (@(x,y) cell2str (x,y), {true}, {true}, \ |
|
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|
574 %! "ErrorHandler", @cellfunerror); |
|
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|
575 %! assert (isfield (A, "identifier"), true); |
|
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|
576 %! assert (isfield (A, "message"), true); |
|
63fe023d7898
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|
577 %! assert (isfield (A, "index"), true); |
|
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changeset
|
578 %! assert (isempty (A.message), false); |
|
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|
579 %! assert (A.index, 1); |
|
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changeset
|
580 %!test %% Overwriting setting of "UniformOutput" true |
|
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581 %! A = cellfun (@(x,y) cell2str (x,y), {true}, {true}, \ |
|
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|
582 %! "UniformOutput", true, "ErrorHandler", @cellfunerror); |
|
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changeset
|
583 %! assert (isfield (A, "identifier"), true); |
|
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changeset
|
584 %! assert (isfield (A, "message"), true); |
|
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changeset
|
585 %! assert (isfield (A, "index"), true); |
|
63fe023d7898
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parents:
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|
586 %! assert (isempty (A.message), false); |
|
63fe023d7898
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changeset
|
587 %! assert (A.index, 1); |
|
63fe023d7898
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diff
changeset
|
588 |
|
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|
589 %% Input arguments can be of type cell array of numeric |
|
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|
590 %!test |
|
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|
591 %! A = cellfun (@(x,y) x>y, {1.1, 4.2}, {3.1, 2+6*i}); |
|
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|
592 %! assert (A, [false, true]); |
|
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diff
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|
593 %!test |
|
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|
594 %! A = cellfun (@(x,y) x>y, {1.1, 4.2; 2, 4}, {3.1, 2; 2, 4+2*i}, \ |
|
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|
595 %! "UniformOutput", true); |
|
63fe023d7898
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|
596 %! assert (A, [false, true; false, false]); |
|
63fe023d7898
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|
597 %!test |
|
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changeset
|
598 %! A = cellfun (@(x,y) x:y, {1.1, 4}, {3.1, 6}, "UniformOutput", false); |
|
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|
599 %! assert (isequal (A{1}, [1.1, 2.1, 3.1])); |
|
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|
600 %! assert (isequal (A{2}, [4, 5, 6])); |
|
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601 %!test %% Three ouptut arguments of different type |
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602 %! [A, B, C] = cellfun (@find, {10, 11; 0, 12}, "UniformOutput", false); |
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603 %! assert (isequal (A, {true, true; [], true})); |
|
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parents:
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|
604 %! assert (isequal (B, {true, true; [], true})); |
|
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|
605 %! assert (isequal (C, {10, 11; [], 12})); |
|
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|
606 %!test |
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|
607 %! A = cellfun (@(x,y) cell2str(x,y), {1.1, 4}, {3.1, 6}, \ |
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|
608 %! "ErrorHandler", @cellfunerror); |
|
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|
609 %! B = isfield (A(1), "message") && isfield (A(1), "index"); |
|
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|
610 %! assert ([(isfield (A(1), "identifier")), (isfield (A(2), "identifier"))], [true, true]); |
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changeset
|
611 %! assert ([(isfield (A(1), "message")), (isfield (A(2), "message"))], [true, true]); |
|
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|
612 %! assert ([(isfield (A(1), "index")), (isfield (A(2), "index"))], [true, true]); |
|
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|
613 %! assert ([(isempty (A(1).message)), (isempty (A(2).message))], [false, false]); |
|
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changeset
|
614 %! assert ([A(1).index, A(2).index], [1, 2]); |
|
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615 %!test %% Overwriting setting of "UniformOutput" true |
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616 %! A = cellfun (@(x,y) cell2str(x,y), {1.1, 4}, {3.1, 6}, \ |
|
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617 %! "UniformOutput", true, "ErrorHandler", @cellfunerror); |
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618 %! B = isfield (A(1), "message") && isfield (A(1), "index"); |
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619 %! assert ([(isfield (A(1), "identifier")), (isfield (A(2), "identifier"))], [true, true]); |
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|
620 %! assert ([(isfield (A(1), "message")), (isfield (A(2), "message"))], [true, true]); |
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changeset
|
621 %! assert ([(isfield (A(1), "index")), (isfield (A(2), "index"))], [true, true]); |
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changeset
|
622 %! assert ([(isempty (A(1).message)), (isempty (A(2).message))], [false, false]); |
|
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changeset
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623 %! assert ([A(1).index, A(2).index], [1, 2]); |
|
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624 |
|
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|
625 %% Input arguments can be of type cell arrays of character or strings |
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626 %!error %% "UniformOutput" false should be used |
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627 %! A = cellfun (@(x,y) x>y, {"ad", "c", "ghi"}, {"cc", "d", "fgh"}); |
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628 %!test |
|
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|
629 %! A = cellfun (@(x,y) x>y, {"a"; "f"}, {"c"; "d"}, "UniformOutput", true); |
|
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630 %! assert (A, [false; true]); |
|
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|
631 %!test |
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632 %! A = cellfun (@(x,y) x:y, {"a", "d"}, {"c", "f"}, "UniformOutput", false); |
|
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|
633 %! assert (A, {"abc", "def"}); |
|
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|
634 %!test |
|
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|
635 %! A = cellfun (@(x,y) cell2str(x,y), {"a", "d"}, {"c", "f"}, \ |
|
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|
636 %! "ErrorHandler", @cellfunerror); |
|
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changeset
|
637 %! assert ([(isfield (A(1), "identifier")), (isfield (A(2), "identifier"))], [true, true]); |
|
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diff
changeset
|
638 %! assert ([(isfield (A(1), "message")), (isfield (A(2), "message"))], [true, true]); |
|
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|
639 %! assert ([(isfield (A(1), "index")), (isfield (A(2), "index"))], [true, true]); |
|
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diff
changeset
|
640 %! assert ([(isempty (A(1).message)), (isempty (A(2).message))], [false, false]); |
|
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changeset
|
641 %! assert ([A(1).index, A(2).index], [1, 2]); |
|
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changeset
|
642 %!test %% Overwriting setting of "UniformOutput" true |
|
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|
643 %! A = cellfun (@(x,y) cell2str(x,y), {"a", "d"}, {"c", "f"}, \ |
|
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|
644 %! "UniformOutput", true, "ErrorHandler", @cellfunerror); |
|
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|
645 %! assert ([(isfield (A(1), "identifier")), (isfield (A(2), "identifier"))], [true, true]); |
|
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changeset
|
646 %! assert ([(isfield (A(1), "message")), (isfield (A(2), "message"))], [true, true]); |
|
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|
647 %! assert ([(isfield (A(1), "index")), (isfield (A(2), "index"))], [true, true]); |
|
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diff
changeset
|
648 %! assert ([(isempty (A(1).message)), (isempty (A(2).message))], [false, false]); |
|
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changeset
|
649 %! assert ([A(1).index, A(2).index], [1, 2]); |
|
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diff
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|
650 |
|
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|
651 %% Structures cannot be handled by cellfun |
|
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652 %!error |
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653 %! vst1.a = 1.1; vst1.b = 4.2; vst2.a = 3.1; vst2.b = 2; |
|
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654 %! A = cellfun (@(x,y) (x.a < y.a) && (x.b > y.b), vst1, vst2); |
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|
655 |
|
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|
656 %% Input arguments can be of type cell array of cell arrays |
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|
657 %!test |
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|
658 %! A = cellfun (@(x,y) x{1} < y{1}, {{1.1}, {4.2}}, {{3.1}, {2}}); |
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|
659 %! assert (A, [1, 0], 1e-16); |
|
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|
660 %!test |
|
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|
661 %! A = cellfun (@(x,y) x{1} < y{1}, {{1.1}; {4.2}}, {{3.1}; {2}}, \ |
|
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|
662 %! "UniformOutput", true); |
|
63fe023d7898
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diff
changeset
|
663 %! assert (A, [1; 0], 1e-16); |
|
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Added more tests for cellfun.
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|
664 %!test |
|
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changeset
|
665 %! A = cellfun (@(x,y) x{1} < y{1}, {{1.1}, {4.2}}, {{3.1}, {2}}, \ |
|
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|
666 %! "UniformOutput", false); |
|
63fe023d7898
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changeset
|
667 %! assert (A, {true, false}); |
|
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|
668 %!test |
|
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changeset
|
669 %! A = cellfun (@(x,y) mat2str(x,y), {{1.1}, {4.2}}, {{3.1}, {2}}, \ |
|
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|
670 %! "ErrorHandler", @cellfunerror); |
|
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changeset
|
671 %! assert ([(isfield (A(1), "identifier")), (isfield (A(2), "identifier"))], [true, true]); |
|
63fe023d7898
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changeset
|
672 %! assert ([(isfield (A(1), "message")), (isfield (A(2), "message"))], [true, true]); |
|
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diff
changeset
|
673 %! assert ([(isfield (A(1), "index")), (isfield (A(2), "index"))], [true, true]); |
|
63fe023d7898
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diff
changeset
|
674 %! assert ([(isempty (A(1).message)), (isempty (A(2).message))], [false, false]); |
|
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parents:
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changeset
|
675 %! assert ([A(1).index, A(2).index], [1, 2]); |
|
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|
676 %!test %% Overwriting setting of "UniformOutput" true |
|
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|
677 %! A = cellfun (@(x,y) mat2str(x,y), {{1.1}, {4.2}}, {{3.1}, {2}}, \ |
|
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|
678 %! "UniformOutput", true, "ErrorHandler", @cellfunerror); |
|
63fe023d7898
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changeset
|
679 %! assert ([(isfield (A(1), "identifier")), (isfield (A(2), "identifier"))], [true, true]); |
|
63fe023d7898
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diff
changeset
|
680 %! assert ([(isfield (A(1), "message")), (isfield (A(2), "message"))], [true, true]); |
|
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diff
changeset
|
681 %! assert ([(isfield (A(1), "index")), (isfield (A(2), "index"))], [true, true]); |
|
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changeset
|
682 %! assert ([(isempty (A(1).message)), (isempty (A(2).message))], [false, false]); |
|
63fe023d7898
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changeset
|
683 %! assert ([A(1).index, A(2).index], [1, 2]); |
|
63fe023d7898
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changeset
|
684 |
|
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parents:
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|
685 %% Input arguments can be of type cell array of structure arrays |
|
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|
686 %!test |
|
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changeset
|
687 %! a = struct ("a", 1, "b", 2); b = struct ("a", 1, "b", 3); |
|
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|
688 %! A = cellfun (@(x,y) (x.a == y.a) && (x.b < y.b), {a}, {b}); |
|
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|
689 %! assert (A, true); |
|
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changeset
|
690 %!test |
|
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Thomas Treichl <Thomas.Treichl@gmx.net>
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changeset
|
691 %! a = struct ("a", 1, "b", 2); b = struct ("a", 1, "b", 3); |
|
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|
692 %! A = cellfun (@(x,y) (x.a == y.a) && (x.b < y.b) , {a}, {b}, \ |
|
63fe023d7898
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|
693 %! "UniformOutput", true); |
|
63fe023d7898
Added more tests for cellfun.
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changeset
|
694 %! assert (A, true); |
|
63fe023d7898
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changeset
|
695 %!test |
|
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diff
changeset
|
696 %! a = struct ("a", 1, "b", 2); b = struct ("a", 1, "b", 3); |
|
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changeset
|
697 %! A = cellfun (@(x,y) (x.a == y.a) && (x.b < y.b) , {a}, {b}, \ |
|
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changeset
|
698 %! "UniformOutput", false); |
|
63fe023d7898
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changeset
|
699 %! assert (A, {true}); |
|
63fe023d7898
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|
700 %!test |
|
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701 %! a = struct ("a", 1, "b", 2); b = struct ("a", 1, "b", 3); |
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702 %! A = cellfun (@(x,y) cell2str (x.a, y.a), {a}, {b}, \ |
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703 %! "ErrorHandler", @cellfunerror); |
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704 %! assert (isfield (A, "identifier"), true); |
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705 %! assert (isfield (A, "message"), true); |
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706 %! assert (isfield (A, "index"), true); |
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707 %! assert (isempty (A.message), false); |
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708 %! assert (A.index, 1); |
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709 %!test %% Overwriting setting of "UniformOutput" true |
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710 %! a = struct ("a", 1, "b", 2); b = struct ("a", 1, "b", 3); |
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711 %! A = cellfun (@(x,y) cell2str (x.a, y.a), {a}, {b}, \ |
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712 %! "UniformOutput", true, "ErrorHandler", @cellfunerror); |
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713 %! assert (isfield (A, "identifier"), true); |
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714 %! assert (isfield (A, "message"), true); |
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715 %! assert (isfield (A, "index"), true); |
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716 %! assert (isempty (A.message), false); |
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717 %! assert (A.index, 1); |
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718 |
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719 %% A lot of other tests |
| 5988 | 720 %!error(cellfun(1)) |
| 721 %!error(cellfun('isclass',1)) | |
| 722 %!error(cellfun('size',1)) | |
| 723 %!error(cellfun(@sin,{[]},'BadParam',false)) | |
| 724 %!error(cellfun(@sin,{[]},'UniformOuput')) | |
| 725 %!error(cellfun(@sin,{[]},'ErrorHandler')) | |
| 726 %!assert(cellfun(@sin,{0,1}),sin([0,1])) | |
| 727 %!assert(cellfun(inline('sin(x)'),{0,1}),sin([0,1])) | |
| 728 %!assert(cellfun('sin',{0,1}),sin([0,1])) | |
| 729 %!assert(cellfun('isempty',{1,[]}),[false,true]) | |
| 730 %!assert(cellfun('islogical',{false,pi}),[true,false]) | |
| 731 %!assert(cellfun('isreal',{1i,1}),[false,true]) | |
| 732 %!assert(cellfun('length',{zeros(2,2),1}),[2,1]) | |
| 733 %!assert(cellfun('prodofsize',{zeros(2,2),1}),[4,1]) | |
| 734 %!assert(cellfun('ndims',{zeros([2,2,2]),1}),[3,2]) | |
| 735 %!assert(cellfun('isclass',{zeros([2,2,2]),'test'},'double'),[true,false]) | |
| 736 %!assert(cellfun('size',{zeros([1,2,3]),1},1),[1,1]) | |
| 737 %!assert(cellfun('size',{zeros([1,2,3]),1},2),[2,1]) | |
| 738 %!assert(cellfun('size',{zeros([1,2,3]),1},3),[3,1]) | |
| 739 %!assert(cellfun(@atan2,{1,1},{1,2}),[atan2(1,1),atan2(1,2)]) | |
| 740 %!assert(cellfun(@atan2,{1,1},{1,2},'UniformOutput',false),{atan2(1,1),atan2(1,2)}) | |
| 6422 | 741 %!assert(cellfun(@sin,{1,2;3,4}),sin([1,2;3,4])) |
| 742 %!assert(cellfun(@atan2,{1,1;1,1},{1,2;1,2}),atan2([1,1;1,1],[1,2;1,2])) | |
| 5988 | 743 %!error(cellfun(@factorial,{-1,3})) |
| 744 %!assert(cellfun(@factorial,{-1,3},'ErrorHandler',@(x,y) NaN),[NaN,6]) | |
| 745 %!test | |
| 6704 | 746 %! [a,b,c]=cellfun(@fileparts,{fullfile("a","b","c.d"),fullfile("e","f","g.h")},'UniformOutput',false); |
| 747 %! assert(a,{fullfile("a","b"),fullfile("e","f")}) | |
| 5988 | 748 %! assert(b,{'c','g'}) |
| 749 %! assert(c,{'.d','.h'}) | |
| 750 | |
| 751 */ | |
| 752 | |
| 5451 | 753 DEFUN_DLD (num2cell, args, , |
| 754 "-*- texinfo -*-\n\ | |
| 755 @deftypefn {Loadable Function} {@var{c} =} num2cell (@var{m})\n\ | |
|
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756 @deftypefnx {Loadable Function} {@var{c} =} num2cell (@var{m}, @var{dim})\n\ |
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757 Convert the matrix @var{m} into a cell array. If @var{dim} is defined, the\n\ |
| 5451 | 758 value @var{c} is of dimension 1 in this dimension and the elements of\n\ |
| 759 @var{m} are placed in slices in @var{c}.\n\ | |
| 5642 | 760 @seealso{mat2cell}\n\ |
| 761 @end deftypefn") | |
| 5451 | 762 { |
| 763 int nargin = args.length(); | |
| 764 octave_value retval; | |
| 765 | |
| 766 if (nargin < 1 || nargin > 2) | |
| 5823 | 767 print_usage (); |
| 5451 | 768 else |
| 769 { | |
| 770 dim_vector dv = args(0).dims (); | |
| 771 Array<int> sings; | |
| 772 | |
| 773 if (nargin == 2) | |
| 774 { | |
| 775 ColumnVector dsings = ColumnVector (args(1).vector_value | |
| 776 (false, true)); | |
| 777 sings.resize (dsings.length()); | |
| 778 | |
| 779 if (!error_state) | |
| 5988 | 780 for (octave_idx_type i = 0; i < dsings.length(); i++) |
| 5451 | 781 if (dsings(i) > dv.length() || dsings(i) < 1 || |
| 782 D_NINT(dsings(i)) != dsings(i)) | |
| 783 { | |
| 784 error ("invalid dimension specified"); | |
| 785 break; | |
| 786 } | |
| 787 else | |
| 788 sings(i) = NINT(dsings(i)) - 1; | |
| 789 } | |
| 790 | |
| 791 if (! error_state) | |
| 792 { | |
| 793 Array<bool> idx_colon (dv.length()); | |
| 794 dim_vector new_dv (dv); | |
| 795 octave_value_list lst (new_dv.length(), octave_value()); | |
| 796 | |
| 797 for (int i = 0; i < dv.length(); i++) | |
| 798 { | |
| 799 idx_colon(i) = false; | |
| 800 for (int j = 0; j < sings.length(); j++) | |
| 801 { | |
| 802 if (sings(j) == i) | |
| 803 { | |
| 804 new_dv(i) = 1; | |
| 805 idx_colon(i) = true; | |
| 806 lst(i) = octave_value (octave_value::magic_colon_t); | |
| 807 break; | |
| 808 } | |
| 809 } | |
| 810 } | |
| 811 | |
| 812 Cell ret (new_dv); | |
| 813 octave_idx_type nel = new_dv.numel(); | |
| 814 octave_idx_type ntot = 1; | |
| 815 | |
| 816 for (int j = 0; j < new_dv.length()-1; j++) | |
| 817 ntot *= new_dv(j); | |
| 818 | |
| 819 for (octave_idx_type i = 0; i < nel; i++) | |
| 820 { | |
| 821 octave_idx_type n = ntot; | |
| 822 octave_idx_type ii = i; | |
| 823 for (int j = new_dv.length() - 1; j >= 0 ; j--) | |
| 824 { | |
| 825 if (! idx_colon(j)) | |
| 826 lst (j) = ii/n + 1; | |
| 827 ii = ii % n; | |
| 828 if (j != 0) | |
| 829 n /= new_dv(j-1); | |
| 830 } | |
| 831 ret(i) = args(0).do_index_op(lst, 0); | |
| 832 } | |
| 833 | |
| 834 retval = ret; | |
| 835 } | |
| 836 } | |
| 837 | |
| 838 return retval; | |
| 839 } | |
| 840 | |
| 5988 | 841 /* |
| 842 | |
| 843 %!assert(num2cell([1,2;3,4]),{1,2;3,4}) | |
| 844 %!assert(num2cell([1,2;3,4],1),{[1;3],[2;4]}) | |
| 845 %!assert(num2cell([1,2;3,4],2),{[1,2];[3,4]}) | |
| 846 | |
| 847 */ | |
| 848 | |
| 5784 | 849 DEFUN_DLD (mat2cell, args, , |
| 850 "-*- texinfo -*-\n\ | |
| 851 @deftypefn {Loadable Function} {@var{b} =} mat2cell (@var{a}, @var{m}, @var{n})\n\ | |
| 852 @deftypefnx {Loadable Function} {@var{b} =} mat2cell (@var{a}, @var{d1}, @var{d2}, @dots{})\n\ | |
| 853 @deftypefnx {Loadable Function} {@var{b} =} mat2cell (@var{a}, @var{r})\n\ | |
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854 Convert the matrix @var{a} to a cell array. If @var{a} is 2-D, then\n\ |
| 5784 | 855 it is required that @code{sum (@var{m}) == size (@var{a}, 1)} and\n\ |
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856 @code{sum (@var{n}) == size (@var{a}, 2)}. Similarly, if @var{a} is\n\ |
| 5784 | 857 a multi-dimensional and the number of dimensional arguments is equal\n\ |
| 858 to the dimensions of @var{a}, then it is required that @code{sum (@var{di})\n\ | |
| 859 == size (@var{a}, i)}.\n\ | |
| 860 \n\ | |
| 861 Given a single dimensional argument @var{r}, the other dimensional\n\ | |
| 862 arguments are assumed to equal @code{size (@var{a},@var{i})}.\n\ | |
| 863 \n\ | |
| 864 An example of the use of mat2cell is\n\ | |
| 865 \n\ | |
| 866 @example\n\ | |
| 867 @group\n\ | |
| 868 mat2cell (reshape(1:16,4,4),[3,1],[3,1])\n\ | |
| 869 @result{} @{\n\ | |
| 870 [1,1] =\n\ | |
| 871 \n\ | |
| 872 1 5 9\n\ | |
| 873 2 6 10\n\ | |
| 874 3 7 11\n\ | |
| 875 \n\ | |
| 876 [2,1] =\n\ | |
| 877 \n\ | |
| 878 4 8 12\n\ | |
| 879 \n\ | |
| 880 [1,2] =\n\ | |
| 881 \n\ | |
| 882 13\n\ | |
| 883 14\n\ | |
| 884 15\n\ | |
| 885 \n\ | |
| 886 [2,2] = 16\n\ | |
| 887 @}\n\ | |
| 888 @end group\n\ | |
| 889 @end example\n\ | |
| 5829 | 890 @seealso{num2cell, cell2mat}\n\ |
| 5784 | 891 @end deftypefn") |
| 892 { | |
| 893 int nargin = args.length(); | |
| 894 octave_value retval; | |
| 895 | |
| 896 if (nargin < 2) | |
| 7038 | 897 print_usage (); |
| 5784 | 898 else |
| 899 { | |
| 900 dim_vector dv = args(0).dims(); | |
| 901 dim_vector new_dv; | |
| 902 new_dv.resize(dv.length()); | |
| 903 | |
| 904 if (nargin > 2) | |
| 905 { | |
| 906 octave_idx_type nmax = -1; | |
| 907 | |
| 908 if (nargin - 1 != dv.length()) | |
| 909 error ("mat2cell: Incorrect number of dimensions"); | |
| 910 else | |
| 911 { | |
| 912 for (octave_idx_type j = 0; j < dv.length(); j++) | |
| 913 { | |
| 914 ColumnVector d = ColumnVector (args(j+1).vector_value | |
| 915 (false, true)); | |
| 916 | |
| 917 if (d.length() < 1) | |
| 918 { | |
| 919 error ("mat2cell: dimension can not be empty"); | |
| 920 break; | |
| 921 } | |
| 922 else | |
| 923 { | |
| 924 if (nmax < d.length()) | |
| 925 nmax = d.length(); | |
| 926 | |
| 927 for (octave_idx_type i = 1; i < d.length(); i++) | |
| 928 { | |
| 929 OCTAVE_QUIT; | |
| 930 | |
| 931 if (d(i) >= 0) | |
| 932 d(i) += d(i-1); | |
| 933 else | |
| 934 { | |
| 935 error ("mat2cell: invalid dimensional argument"); | |
| 936 break; | |
| 937 } | |
| 938 } | |
| 939 | |
| 940 if (d(0) < 0) | |
| 941 error ("mat2cell: invalid dimensional argument"); | |
| 942 | |
| 943 if (d(d.length() - 1) != dv(j)) | |
| 944 error ("mat2cell: inconsistent dimensions"); | |
| 945 | |
| 946 if (error_state) | |
| 947 break; | |
| 948 | |
| 949 new_dv(j) = d.length(); | |
| 950 } | |
| 951 } | |
| 952 } | |
| 953 | |
| 954 if (! error_state) | |
| 955 { | |
| 956 // Construct a matrix with the index values | |
| 957 Matrix dimargs(nmax, new_dv.length()); | |
| 958 for (octave_idx_type j = 0; j < new_dv.length(); j++) | |
| 959 { | |
| 960 OCTAVE_QUIT; | |
| 961 | |
| 962 ColumnVector d = ColumnVector (args(j+1).vector_value | |
| 963 (false, true)); | |
| 964 | |
| 965 dimargs(0,j) = d(0); | |
| 966 for (octave_idx_type i = 1; i < d.length(); i++) | |
| 967 dimargs(i,j) = dimargs(i-1,j) + d(i); | |
| 968 } | |
| 969 | |
| 970 | |
| 971 octave_value_list lst (new_dv.length(), octave_value()); | |
| 972 Cell ret (new_dv); | |
| 973 octave_idx_type nel = new_dv.numel(); | |
| 974 octave_idx_type ntot = 1; | |
| 975 | |
| 976 for (int j = 0; j < new_dv.length()-1; j++) | |
| 977 ntot *= new_dv(j); | |
| 978 | |
| 979 for (octave_idx_type i = 0; i < nel; i++) | |
| 980 { | |
| 981 octave_idx_type n = ntot; | |
| 982 octave_idx_type ii = i; | |
| 983 for (octave_idx_type j = new_dv.length() - 1; j >= 0; j--) | |
| 984 { | |
| 985 OCTAVE_QUIT; | |
| 986 | |
| 987 octave_idx_type idx = ii / n; | |
| 988 lst (j) = Range((idx == 0 ? 1. : dimargs(idx-1,j)+1.), | |
| 989 dimargs(idx,j)); | |
| 990 ii = ii % n; | |
| 991 if (j != 0) | |
| 992 n /= new_dv(j-1); | |
| 993 } | |
| 994 ret(i) = args(0).do_index_op(lst, 0); | |
| 995 if (error_state) | |
| 996 break; | |
| 997 } | |
| 998 | |
| 999 if (!error_state) | |
| 1000 retval = ret; | |
| 1001 } | |
| 1002 } | |
| 1003 else | |
| 1004 { | |
| 1005 ColumnVector d = ColumnVector (args(1).vector_value | |
| 1006 (false, true)); | |
| 1007 | |
| 1008 double sumd = 0.; | |
| 1009 for (octave_idx_type i = 0; i < d.length(); i++) | |
| 1010 { | |
| 1011 OCTAVE_QUIT; | |
| 1012 | |
| 1013 if (d(i) >= 0) | |
| 1014 sumd += d(i); | |
| 1015 else | |
| 1016 { | |
| 1017 error ("mat2cell: invalid dimensional argument"); | |
| 1018 break; | |
| 1019 } | |
| 1020 } | |
| 1021 | |
| 1022 if (sumd != dv(0)) | |
| 1023 error ("mat2cell: inconsistent dimensions"); | |
| 1024 | |
| 1025 new_dv(0) = d.length(); | |
| 1026 for (octave_idx_type i = 1; i < dv.length(); i++) | |
| 1027 new_dv(i) = 1; | |
| 1028 | |
| 1029 if (! error_state) | |
| 1030 { | |
| 1031 octave_value_list lst (new_dv.length(), octave_value()); | |
| 1032 Cell ret (new_dv); | |
| 1033 | |
| 1034 for (octave_idx_type i = 1; i < new_dv.length(); i++) | |
| 1035 lst (i) = Range (1., static_cast<double>(dv(i))); | |
| 1036 | |
| 1037 double idx = 0.; | |
| 1038 for (octave_idx_type i = 0; i < new_dv(0); i++) | |
| 1039 { | |
| 1040 OCTAVE_QUIT; | |
| 1041 | |
| 1042 lst(0) = Range(idx + 1., idx + d(i)); | |
| 1043 ret(i) = args(0).do_index_op(lst, 0); | |
| 1044 idx += d(i); | |
| 1045 if (error_state) | |
| 1046 break; | |
| 1047 } | |
| 1048 | |
| 1049 if (!error_state) | |
| 1050 retval = ret; | |
| 1051 } | |
| 1052 } | |
| 1053 } | |
| 1054 | |
| 1055 return retval; | |
| 1056 } | |
| 1057 | |
| 1058 /* | |
| 1059 | |
| 1060 %!test | |
| 1061 %! x = reshape(1:20,5,4); | |
| 1062 %! c = mat2cell(x,[3,2],[3,1]); | |
| 1063 %! assert(c,{[1,6,11;2,7,12;3,8,13],[16;17;18];[4,9,14;5,10,15],[19;20]}) | |
| 1064 | |
| 1065 %!test | |
| 1066 %! x = 'abcdefghij'; | |
| 1067 %! c = mat2cell(x,1,[0,4,2,0,4,0]); | |
| 1068 %! empty1by0str = resize('',1,0); | |
| 1069 %! assert(c,{empty1by0str,'abcd','ef',empty1by0str,'ghij',empty1by0str}) | |
| 1070 | |
| 1071 */ | |
| 1072 | |
| 5205 | 1073 /* |
| 1074 ;;; Local Variables: *** | |
| 1075 ;;; mode: C++ *** | |
| 1076 ;;; End: *** | |
| 1077 */ |