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use new string_value method to handle value extraction errors * urlwrite.cc: Use new string_value method.
author John W. Eaton <jwe@octave.org>
date Thu, 08 Oct 2015 17:26:40 -0400
parents 26bd6008fc9c
children
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1 ## Copyright (C) 2004-2015 Paul Kienzle
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2 ##
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3 ## This file is part of Octave.
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4 ##
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5 ## Octave is free software; you can redistribute it and/or modify it
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6 ## under the terms of the GNU General Public License as published by
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7 ## the Free Software Foundation; either version 3 of the License, or (at
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8 ## your option) any later version.
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9 ##
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10 ## Octave is distributed in the hope that it will be useful, but
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11 ## WITHOUT ANY WARRANTY; without even the implied warranty of
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12 ## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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13 ## General Public License for more details.
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14 ##
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15 ## You should have received a copy of the GNU General Public License
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16 ## along with Octave; see the file COPYING. If not, see
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17 ## <http://www.gnu.org/licenses/>.
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18 ##
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19 ## Original version by Paul Kienzle distributed as free software in the
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20 ## public domain.
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21
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22 ## -*- texinfo -*-
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23 ## @deftypefn {Function File} {} sprandn (@var{m}, @var{n}, @var{d})
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24 ## @deftypefnx {Function File} {} sprandn (@var{m}, @var{n}, @var{d}, @var{rc})
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25 ## @deftypefnx {Function File} {} sprandn (@var{s})
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26 ## Generate a sparse matrix with normally distributed random values.
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27 ##
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28 ## The size of the matrix is @var{m}x@var{n} with a density of values @var{d}.
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29 ## @var{d} must be between 0 and 1. Values will be normally distributed with a
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30 ## mean of 0 and a variance of 1.
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31 ##
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32 ## If called with a single matrix argument, a sparse matrix is generated with
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33 ## random values wherever the matrix @var{s} is nonzero.
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34 ##
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35 ## If called with a scalar fourth argument @var{rc}, a random sparse matrix
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36 ## with reciprocal condition number @var{rc} is generated. If @var{rc} is
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37 ## a vector, then it specifies the first singular values of the generated
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38 ## matrix (@code{length (@var{rc}) <= min (@var{m}, @var{n})}).
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39 ##
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40 ## @seealso{sprand, sprandsym, randn}
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41 ## @end deftypefn
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42
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43 ## Author: Paul Kienzle <pkienzle@users.sf.net>
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44
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45 function s = sprandn (m, n, d, rc)
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46
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47 if (nargin == 1 )
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48 s = __sprand__ (m, @randn);
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49 elseif ( nargin == 3)
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50 s = __sprand__ (m, n, d, "sprandn", @randn);
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51 elseif (nargin == 4)
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52 s = __sprand__ (m, n, d, rc, "sprandn", @randn);
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53 else
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54 print_usage ();
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55 endif
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56
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57 endfunction
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59
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60 ## Test 3-input calling form
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61 %!test
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62 %! s = sprandn (4, 10, 0.1);
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63 %! assert (size (s), [4, 10]);
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64 %! assert (nnz (s) / numel (s), 0.1);
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66 ## Test 4-input calling form
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67 %!test
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68 %! d = rand ();
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69 %! s1 = sprandn (100, 100, d, 0.4);
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70 %! rc = [5, 4, 3, 2, 1, 0.1];
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71 %! s2 = sprandn (100, 100, d, rc);
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72 %! s3 = sprandn (6, 4, d, rc);
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73 %! assert (svd (s2)'(1:length (rc)), rc, sqrt (eps));
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74 %! assert (1/cond (s1), 0.4, sqrt (eps));
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75 %! assert (nnz (s1) / (100*100), d, 0.02);
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76 %! assert (nnz (s2) / (100*100), d, 0.02);
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77 %! assert (svd (s3)', [5 4 3 2], sqrt (eps));
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78
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79 ## Test 1-input calling form
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80 %!test
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81 %! s = sprandn (sparse ([1 2 3], [3 2 3], [2 2 2]));
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82 %! [i, j] = find (s);
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83 %! assert (sort (i), [1 2 3]');
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84 %! assert (sort (j), [2 3 3]');
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85
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86 ## Test very large, very low density matrix doesn't fail
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87 %!test
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88 %! s = sprandn (1e6,1e6,1e-7);
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89
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90 ## Test input validation
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91 %!error sprandn ()
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92 %!error sprandn (1, 2)
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93 %!error sprandn (1, 2, 3, 4)
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94 %!error <M must be an integer greater than 0> sprandn (ones (3), 3, 0.5)
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95 %!error <M must be an integer greater than 0> sprandn (3.5, 3, 0.5)
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96 %!error <M must be an integer greater than 0> sprandn (0, 3, 0.5)
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97 %!error <N must be an integer greater than 0> sprandn (3, ones (3), 0.5)
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98 %!error <N must be an integer greater than 0> sprandn (3, 3.5, 0.5)
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99 %!error <N must be an integer greater than 0> sprandn (3, 0, 0.5)
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100 %!error <D must be between 0 and 1> sprandn (3, 3, -1)
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101 %!error <D must be between 0 and 1> sprandn (3, 3, 2)
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102 %!error <RC must be a scalar or vector> sprandn (2, 2, 0.2, ones (3,3))
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103 %!error <RC must be between 0 and 1> sprandn (2, 2, 0.2, -1)
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104 %!error <RC must be between 0 and 1> sprandn (2, 2, 0.2, 2)
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105