view scripts/general/repmat.m @ 15434:e1f59fd57756

repmat() should interpret empties as implying unit. Bug # 37390. * scripts/general/repmat.m: If the inputs specifying the number to replications is empty, interpret the empty as unity. Add tests.
author Ben Abbott <bpabbott@mac.com>
date Fri, 21 Sep 2012 21:13:33 -0400
parents b76f0740940e
children 32fd31378052
line wrap: on
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## Copyright (C) 2000-2012 Paul Kienzle
## Copyright (C) 2008 Jaroslav Hajek
##
## This file is part of Octave.
##
## Octave is free software; you can redistribute it and/or modify it
## under the terms of the GNU General Public License as published by
## the Free Software Foundation; either version 3 of the License, or (at
## your option) any later version.
##
## Octave is distributed in the hope that it will be useful, but
## WITHOUT ANY WARRANTY; without even the implied warranty of
## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
## General Public License for more details.
##
## You should have received a copy of the GNU General Public License
## along with Octave; see the file COPYING.  If not, see
## <http://www.gnu.org/licenses/>.

## -*- texinfo -*-
## @deftypefn  {Function File} {} repmat (@var{A}, @var{m})
## @deftypefnx {Function File} {} repmat (@var{A}, @var{m}, @var{n})
## @deftypefnx {Function File} {} repmat (@var{A}, [@var{m} @var{n}])
## @deftypefnx {Function File} {} repmat (@var{A}, [@var{m} @var{n} @var{p} @dots{}])
## Form a block matrix of size @var{m} by @var{n}, with a copy of matrix
## @var{A} as each element.  If @var{n} is not specified, form an
## @var{m} by @var{m} block matrix.  For copying along more than two
## dimensions, specify the number of times to copy across each dimension
## @var{m}, @var{n}, @var{p}, @dots{}, in a vector in the second argument.
## @seealso{repelems}
## @end deftypefn

## Author: Paul Kienzle <pkienzle@kienzle.powernet.co.uk>
## Created: July 2000

function x = repmat (A, m, n)

  if (nargin < 2 || nargin > 3)
    print_usage ();
  endif

  if (nargin == 3)
    if (! (numel (m) < 2 && numel (n) < 2))
      error ("repmat: with 3 arguments M and N must be scalar");
    endif
    if (isempty (m))
      m = 1;
    endif
    if (isempty (n))
      n = 1;
    endif
    idx = [m, n];
  else
    if (isempty (m))
      m = 1;
    endif
    if (isscalar (m))
      idx = [m, m];
      n = m;
    elseif (isvector (m) && length (m) > 1)
      ## Ensure that we have a row vector
      idx = m(:).';
    else
      error ("repmat: invalid dimensional argument");
    endif
  endif

  if (all (idx < 0))
    error ("repmat: invalid dimensions");
  else
    idx = max (idx, 0);
  endif

  if (numel (A) == 1)
    ## optimize the scalar fill case.
    if (any (idx == 0))
      x = resize (A, idx);
    else
      x(1:prod (idx)) = A;
      x = reshape (x, idx);
    endif
  elseif (ndims (A) == 2 && length (idx) < 3)
    if (issparse (A))
      x = kron (ones (idx), A);
    else
      ## indexing is now faster, so we use it rather than kron.
      m = rows (A); n = columns (A);
      p = idx(1); q = idx(2);
      x = reshape (A, m, 1, n, 1);
      x = x(:, ones (1, p), :, ones (1, q));
      x = reshape (x, m*p, n*q);
    endif
  else
    aidx = size (A);
    ## ensure matching size
    idx(end+1:length (aidx)) = 1;
    aidx(end+1:length (idx)) = 1;
    ## create subscript array
    cidx = cell (2, length (aidx));
    for i = 1:length (aidx)
      cidx{1,i} = ':';
      cidx{2,i} = ones (1, idx (i));
    endfor
    aaidx = aidx;
    # add singleton dims
    aaidx(2,:) = 1;
    A = reshape (A, aaidx(:));
    x = reshape (A (cidx{:}), idx .* aidx);
  endif

endfunction

# Test various methods of providing size parameters
%!shared x
%! x = [1 2;3 4];
%!assert (repmat (x, 1, []), repmat (x, 1))
%!assert (repmat (x, [], 3), repmat (x, [1, 3]))
%!assert (repmat (x, [1 1]), repmat (x, 1))
%!assert (repmat (x, [3 3]), repmat (x, 3))
%!assert (repmat (x, [1 1]), repmat (x, 1, 1))
%!assert (repmat (x, [1 3]), repmat (x, 1, 3))
%!assert (repmat (x, [3 1]), repmat (x, 3, 1))
%!assert (repmat (x, [3 3]), repmat (x, 3, 3))

# Tests for numel==1 case:
%!shared x, r
%! x = [ 65 ];
%! r = kron (ones (2,2), x);
%!assert (r, repmat (x, [2 2]))
%!assert (char (r), repmat (char (x), [2 2]))
%!assert (int8 (r), repmat (int8 (x), [2 2]))

# Tests for ndims==2 case:
%!shared x, r
%! x = [ 65 66 67 ];
%! r = kron (ones (2,2), x);
%!assert (r, repmat (x, [2 2]))
%!assert (char (r), repmat (char (x), [2 2]))
%!assert (int8 (r), repmat (int8 (x), [2 2]))

# Tests for dim>2 case:
%!shared x, r
%! x = [ 65 66 67 ];
%! r = kron (ones (2,2), x);
%! r(:,:,2) = r(:,:,1);
%!assert (r, repmat (x, [2 2 2]))
%!assert (char (r), repmat (char (x), [2 2 2]))
%!assert (int8 (r), repmat (int8 (x), [2 2 2]))

# Test that sparsity is kept
%!assert (sparse (4,4), repmat (sparse (2,2),[2 2]))

%!assert (size (repmat (".", -1, 1)), [0, 1])
%!assert (size (repmat (".", 1, -1)), [1, 0])

%!assert (size (repmat (1, [1, 0])), [1, 0])
%!assert (size (repmat (1, [5, 0])), [5, 0])
%!assert (size (repmat (1, [0, 1])), [0, 1])
%!assert (size (repmat (1, [0, 5])), [0, 5])

%!shared x
%! x = struct ("a", [], "b", []);
%!assert (size (repmat (x, [1, 0])), [1, 0])
%!assert (size (repmat (x, [5, 0])), [5, 0])
%!assert (size (repmat (x, [0, 1])), [0, 1])
%!assert (size (repmat (x, [0, 5])), [0, 5])

%!assert (size (repmat ({1}, [1, 0])), [1, 0])
%!assert (size (repmat ({1}, [5, 0])), [5, 0])
%!assert (size (repmat ({1}, [0, 1])), [0, 1])
%!assert (size (repmat ({1}, [0, 5])), [0, 5])

%!error (size (repmat (".", -1, -1)))