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## -*- texinfo -*-
## @deftypefn  {} {} prepad (@var{x}, @var{l})
## @deftypefnx {} {} prepad (@var{x}, @var{l}, @var{c})
## @deftypefnx {} {} prepad (@var{x}, @var{l}, @var{c}, @var{dim})
## Prepend the scalar value @var{c} to the vector @var{x} until it is of length
## @var{l}.  If @var{c} is not given, a value of 0 is used.
##
## If @code{length (@var{x}) > @var{l}}, elements from the beginning of @var{x}
## are removed until a vector of length @var{l} is obtained.
##
## If @var{x} is a matrix, elements are prepended or removed from each row.
##
## If the optional argument @var{dim} is given, operate along this dimension.
##
## If @var{dim} is larger than the dimensions of @var{x}, the result will have
## @var{dim} dimensions.
## @seealso{postpad, cat, resize}
## @end deftypefn

function y = prepad (x, l, c, dim)

  if (nargin < 2 || nargin > 4)
    print_usage ();
  endif

  if (nargin < 3 || isempty (c))
    c = 0;
  else
    if (! isscalar (c))
      error ("prepad: pad value C must be empty or a scalar");
    endif
  endif

  nd = ndims (x);
  sz = size (x);
  if (nargin < 4)
    ## Find the first non-singleton dimension.
    (dim = find (sz > 1, 1)) || (dim = 1);
  else
    if (!(isscalar (dim) && dim == fix (dim) && dim >= 1))
      error ("prepad: DIM must be an integer and a valid dimension");
    endif
  endif

  if (! isscalar (l) || l < 0)
    error ("prepad: length L must be a positive scalar");
  endif

  if (dim > nd)
    sz(nd+1:dim) = 1;
  endif

  d = sz(dim);

  if (d == l)
    ## This optimization makes sense because the function is used to match
    ## the length between two vectors not knowing a priori is larger, and
    ## allow for:
    ##    ml = max (numel (v1), numel (v2));
    ##    v1 = prepad (v1, ml);
    ##    v2 = prepad (v2, ml);
    y = x;
  elseif (d >= l)
    idx = repmat ({':'}, nd, 1);
    idx{dim} = d-l+1:d;
    y = x(idx{:});
  else
    sz(dim) = l - d;
    y = cat (dim, c(ones (sz)), x);
  endif

endfunction


%!assert (prepad ([1,2], 4), [0,0,1,2])
%!assert (prepad ([1;2], 4), [0;0;1;2])

%!assert (prepad ([1,2], 4, 2), [2,2,1,2])
%!assert (prepad ([1;2], 4, 2), [2;2;1;2])

%!assert (prepad ([1 2], 2), [1 2])
%!assert (prepad ([1; 2], 2), [1; 2])
%!assert (prepad ([1; 2], 2, 3, 2), [3 1; 3 2])

%!assert (prepad ([1,2], 2, 2, 1), [2,2;1,2])

%!assert (prepad ([1,2], 2, 2, 3), reshape ([2,2,1,2], 1, 2, 2))
%!assert (prepad ([1;2], 2, 2, 3), reshape ([2;2;1;2], 2, 1, 2))

%! ## Test with string concatenation
%!assert <*44162> (prepad ("Octave", 16, "x"), "xxxxxxxxxxOctave")
%!assert (prepad ("Octave", 4), "tave")

## FIXME: We need tests for multidimensional arrays.

%!error prepad ()
%!error prepad (1)
%!error prepad (1,2,3,4,5)
%!error <C must be empty or a scalar> prepad ([1,2], 2, ones (2))
%!error <DIM must be an integer> prepad ([1,2], 2, 2, ones (3))
%!error <DIM must be an integer> prepad ([1,2], 2, 2, 1.1)
%!error <L must be a positive scalar> prepad ([1,2], ones (2))
%!error <L must be a positive scalar> prepad ([1,2], -1)
