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annotate scripts/sparse/sprandn.m @ 13064:bae887ebea48

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codesprint: Add input validation and tests for sprandsym.m * sprandsym.m: Add input validation and tests for sprandsym.m. * sprandn.m: Remove unnecessary output from find()
author Rik <octave@nomad.inbox5.com>
date Sat, 03 Sep 2011 11:29:24 -0700
parents 14422cc782b2
children 6db186dfdeaa
Ignore whitespace changes - Everywhere: Within whitespace: At end of lines:
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fd0a3ac60b0e update copyright notices
John W. Eaton <jwe@octave.org>
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1 ## Copyright (C) 2004-2011 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{s})
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25 ## Generate a random sparse matrix. The size of the matrix will be
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26 ## @var{m} by @var{n}, with a density of values given by @var{d}.
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27 ## @var{d} should be between 0 and 1. Values will be normally
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28 ## distributed with mean of zero and variance 1.
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29 ##
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30 ## Note: sometimes the actual density may be a bit smaller than @var{d}.
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31 ## This is unlikely to happen for large really sparse matrices.
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32 ##
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33 ## If called with a single matrix argument, a random sparse matrix is
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34 ## generated wherever the matrix @var{S} is non-zero.
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35 ## @seealso{sprand}
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36 ## @end deftypefn
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37
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38 ## Author: Paul Kienzle <pkienzle@users.sf.net>
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39
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40 function S = sprandn (m, n, d)
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41
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42 if (nargin != 1 && nargin != 3)
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43 print_usage ();
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44 endif
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45
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46 if (nargin == 1)
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47 [i, j] = find (m);
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48 [nr, nc] = size (m);
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49 S = sparse (i, j, randn (size (i)), nr, nc);
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50 return;
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51 endif
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52
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53 if (!(isscalar (m) && m == fix (m) && m > 0))
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54 error ("sprand: M must be an integer greater than 0");
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55 endif
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56
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57 if (!(isscalar (n) && n == fix (n) && n > 0))
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58 error ("sprand: N must be an integer greater than 0");
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59 endif
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60
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61 if (d < 0 || d > 1)
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62 error ("sprand: density D must be between 0 and 1");
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63 endif
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64
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65 mn = m*n;
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66 k = round (d*mn);
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67 idx = unique (fix (rand (min (k*1.01, k+10), 1) * mn)) + 1;
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68 ## idx contains random numbers in [1,mn]
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69 ## generate 1% or 10 more random values than necessary in order to
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70 ## reduce the probability that there are less than k distinct
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71 ## values; maybe a better strategy could be used but I don't think
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72 ## it's worth the price.
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73
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74 ## actual number of entries in S
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75 k = min (length (idx), k);
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76 j = floor ((idx(1:k)-1)/m);
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77 i = idx(1:k) - j*m;
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78 if (isempty (i))
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79 S = sparse (m, n);
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80 else
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81 S = sparse (i, j+1, randn (k, 1), m, n);
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82 endif
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83
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84 endfunction
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85
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86
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87 ## FIXME: Test for density can't happen until code of sprandn is improved
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88 %!test
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89 %! s = sprandn (4, 10, 0.1);
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90 %! assert (size (s), [4, 10]);
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91 ##%! assert (nnz (s) / numel (s), 0.1, .01);
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92
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93 %% Test 1-input calling form
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94 %!test
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95 %! s = sprandn (sparse ([1 2 3], [3 2 3], [2 2 2]));
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96 %! [i, j] = find (s);
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97 %! assert (sort (i), [1 2 3]');
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98 %! assert (sort (j), [2 3 3]');
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99
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100 %% Test input validation
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101 %!error sprandn ()
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102 %!error sprandn (1, 2)
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103 %!error sprandn (1, 2, 3, 4)
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104 %!error sprandn (ones(3), 3, 0.5)
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105 %!error sprandn (3.5, 3, 0.5)
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106 %!error sprandn (0, 3, 0.5)
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107 %!error sprandn (3, ones(3), 0.5)
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108 %!error sprandn (3, 3.5, 0.5)
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109 %!error sprandn (3, 0, 0.5)
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110 %!error sprandn (3, 3, -1)
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111 %!error sprandn (3, 3, 2)
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112