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########################################################################
##
## Copyright (C) 2000-2024 The Octave Project Developers
##
## See the file COPYRIGHT.md in the top-level directory of this
## distribution or <https://octave.org/copyright/>.
##
## 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
## <https://www.gnu.org/licenses/>.
##
########################################################################
## -*- texinfo -*-
## @deftypefn {} {@var{y} =} unique (@var{x})
## @deftypefnx {} {@var{y} =} unique (@var{x}, "rows")
## @deftypefnx {} {@var{y} =} unique (@dots{}, "sorted")
## @deftypefnx {} {@var{y} =} unique (@dots{}, "stable")
## @deftypefnx {} {[@var{y}, @var{i}, @var{j}] =} unique (@dots{})
## @deftypefnx {} {[@var{y}, @var{i}, @var{j}] =} unique (@dots{}, "first")
## @deftypefnx {} {[@var{y}, @var{i}, @var{j}] =} unique (@dots{}, "last")
## @deftypefnx {} {[@var{y}, @var{i}, @var{j}] =} unique (@dots{}, "legacy")
## Return the unique elements of @var{x}.
##
## If the input @var{x} is a column vector then return a column vector;
## Otherwise, return a row vector. @var{x} may also be a cell array of
## strings.
##
## If the optional argument @qcode{"rows"} is given then return the unique
## rows of @var{x}. The input must be a 2-D numeric matrix to use this option.
##
## The optional argument @qcode{"sorted"}/@qcode{"stable"} controls the order
## in which unique values appear in the output. The default is
## @qcode{"sorted"} and values in the output are placed in ascending order.
## The alternative @qcode{"stable"} preserves the order found in the input
## @var{x}.
##
## If requested, return column index vectors @var{i} and @var{j} such that
## @code{@var{y} = @var{x}(@var{i})} and @code{@var{x} = @var{y}(@var{j})}.
##
## Additionally, if @var{i} is a requested output then one of the flags
## @qcode{"first"} or @qcode{"last"} may be given. If @qcode{"last"} is
## specified, return the highest possible indices in @var{i}, otherwise, if
## @qcode{"first"} is specified, return the lowest. The default is
## @qcode{"first"}.
##
## Example 1 : sort order
##
## @example
## @group
## unique ([3, 1, 1, 2])
## @result{} [1, 2, 3]
## unique ([3, 1, 1, 2], "stable")
## @result{} [3, 1, 2]
## @end group
## @end example
##
## Example 2 : index selection
##
## @example
## @group
## [~, @var{i}] = unique ([3, 1, 1, 2], "first")
## @result{} @var{i} = [2; 4; 1]
## [~, @var{i}] = unique ([3, 1, 1, 2], "last")
## @result{} @var{i} = [3; 4; 1]
## @end group
## @end example
##
## Programming Notes: The input flag @qcode{"legacy"} changes the algorithm
## to be compatible with @sc{matlab} releases prior to R2012b. Specifically,
## The index ordering flag is changed to @qcode{"last"}, and the shape of the
## outputs @var{i}, @var{j} will follow the shape of the input @var{x} rather
## than always being column vectors.
##
## The third output, @var{j}, has not been implemented yet when the sort
## order is @qcode{"stable"}.
##
## @seealso{uniquetol, union, intersect, setdiff, setxor, ismember}
## @end deftypefn
function [y, i, j] = unique (x, varargin)
if (nargin < 1)
print_usage ();
elseif (! (isnumeric (x) || islogical (x) || ischar (x) || iscellstr (x)))
error ("unique: X must be an array or cell array of strings");
endif
if (nargin > 1)
## parse options
if (! iscellstr (varargin))
error ("unique: options must be strings");
endif
optrows = any (strcmp ("rows", varargin));
optfirst = any (strcmp ("first", varargin));
optlast = any (strcmp ("last", varargin));
optsorted = any (strcmp ("sorted", varargin));
optstable = any (strcmp ("stable", varargin));
optlegacy = any (strcmp ("legacy", varargin));
if (optfirst && optlast)
error ('unique: cannot specify both "first" and "last"');
elseif (optsorted && optstable)
error ('unique: cannot specify both "sorted" and "stable"');
elseif ((optfirst || optlast) && (optsorted || optstable))
error ('unique: cannot specify "first"/"last" with "sorted"/"stable"');
elseif (optlegacy && (optsorted || optstable))
error ('unique: cannot specify "sorted" or "stable" with "legacy"');
elseif (optrows + optfirst + optlast + optsorted + optstable + optlegacy
!= nargin-1)
error ("unique: invalid option");
endif
## Set defaults if not set earlier.
if (! optfirst && ! optlast)
optfirst = true;
endif
if (! optsorted && ! optstable)
optsorted = true;
endif
if (optrows && iscellstr (x))
warning ('unique: "rows" is ignored for cell arrays');
optrows = false;
endif
else
optrows = false;
optfirst = true;
optsorted = true;
optlegacy = false;
endif
## FIXME: The operations
##
## match = (y(1:n-1) == y(2:n));
## y(idx) = [];
##
## are very slow on sparse matrices. Until they are fixed to be as
## fast as for full matrices, operate on the nonzero elements of the
## sparse array as long as we are not operating on rows.
if (issparse (x) && ! optrows && nargout <= 1)
if (nnz (x) < numel (x))
y = unique ([0; nonzeros(x)], varargin{:});
else
## Corner case where sparse matrix is actually full
y = unique (full (x), varargin{:});
endif
return;
endif
if (optrows)
n = rows (x);
isrowvec = false;
else
n = numel (x);
isrowvec = isrow (x);
endif
## Special cases 0 and 1
if (n == 0)
y = x;
if (! optrows && any (size (x)))
if (iscellstr (x))
y = cell (0, 1);
else
y = zeros (0, 1, class (x));
endif
endif
i = j = [];
return;
elseif (n == 1)
y = x;
i = j = 1;
return;
endif
## Calculate y output
if (optrows)
if (nargout > 1 || ! optsorted)
[y, i] = sortrows (x);
i = i(:);
else
y = sortrows (x);
endif
match = all (y(1:n-1,:) == y(2:n,:), 2);
if (optsorted)
y(match,:) = [];
else
y = x;
y(i([false; match]), :) = [];
endif
else
if (isvector (x))
y = x;
else
y = x(:);
endif
if (nargout > 1 || ! optsorted)
[y, i] = sort (y);
i = i(:);
else
y = sort (y);
endif
if (iscellstr (y))
match = strcmp (y(1:n-1), y(2:n));
else
match = (y(1:n-1) == y(2:n));
endif
if (optsorted)
y(match) = [];
else
if (isvector (x))
y = x;
else
y = x(:);
endif
y(i([false; match(:)])) = [];
endif
endif
## Calculate j output (3rd output)
if (nargout > 2)
j = i; # cheap way to copy dimensions
j(i) = cumsum ([1; ! match(:)]);
if (! optsorted)
warning ("unique: third output J is not yet implemented");
j = [];
endif
if (optlegacy && isrowvec)
j = j.';
endif
endif
## Calculate i output (2nd output)
if (nargout > 1)
if (optsorted)
idx = find (match);
if (! optlegacy && optfirst)
idx += 1; # in-place is faster than other forms of increment
endif
i(idx) = [];
else
i([false; match(:)]) = [];
## FIXME: Is there a way to avoid a call to sort?
i = sort (i);
endif
if (optlegacy && isrowvec)
i = i.';
endif
endif
endfunction
%!assert (unique ([1 1 2; 1 2 1; 1 1 2]), [1;2])
%!assert (unique ([1 1 2; 1 0 1; 1 1 2],"rows"), [1 0 1; 1 1 2])
%!assert (unique ([]), [])
%!assert (unique ([1]), [1])
%!assert (unique ([1 2]), [1 2])
%!assert (unique ([1;2]), [1;2])
%!assert (unique ([1,NaN,Inf,NaN,Inf]), [1,Inf,NaN,NaN])
%!assert (unique ([1,NaN,Inf,NaN,Inf], "stable"), [1,NaN,Inf,NaN])
%!assert (unique ({"Foo","Bar","Foo"}), {"Bar","Foo"})
%!assert (unique ({"Foo","Bar","Foo"}, "stable"), {"Foo", "Bar"})
%!assert (unique ({"Foo","Bar","FooBar"}'), {"Bar","Foo","FooBar"}')
%!assert (unique (zeros (1,0)), zeros (0,1))
%!assert (unique (zeros (1,0), "rows"), zeros (1,0))
%!assert (unique (cell (1,0)), cell (0,1))
%!assert (unique ({}), {})
%!assert (unique ([1,2,2,3,2,4], "rows"), [1,2,2,3,2,4])
%!assert (unique ([1,2,2,3,2,4]), [1,2,3,4])
%!assert (unique ([1,2,2,3,2,4]', "rows"), [1;2;3;4])
%!assert (unique (sparse ([2,0;2,0])), [0;2])
%!assert (unique (sparse ([1,2;2,3])), [1;2;3])
%!assert (unique ([1,2,2,3,2,4]', "rows"), [1;2;3;4])
%!assert (unique (single ([1,2,2,3,2,4]), "rows"), single ([1,2,2,3,2,4]))
%!assert (unique (single ([1,2,2,3,2,4])), single ([1,2,3,4]))
%!assert (unique (single ([1,2,2,3,2,4]'), "rows"), single ([1;2;3;4]))
%!assert (unique (uint8 ([1,2,2,3,2,4]), "rows"), uint8 ([1,2,2,3,2,4]))
%!assert (unique (uint8 ([1,2,2,3,2,4])), uint8 ([1,2,3,4]))
%!assert (unique (uint8 ([1,2,2,3,2,4]'), "rows"), uint8 ([1;2;3;4]))
## Test options with numeric inputs
%!test
%! [y,i,j] = unique ([1,1,2,3,3,3,4], "sorted");
%! assert (y, [1,2,3,4]);
%! assert (i, [1;3;4;7]);
%! assert (j, [1;1;2;3;3;3;4]);
%!test
%! [y,i,~] = unique ([4,4,2,2,2,3,1], "stable");
%! assert (y, [4,2,3,1]);
%! assert (i, [1;3;6;7]);
%! ## FIXME: 'j' input not calculated with stable
%! ##assert (j, []);
%!test
%! [y,i,j] = unique ([1,1,2,3,3,3,4]', "last");
%! assert (y, [1,2,3,4]');
%! assert (i, [2;3;6;7]);
%! assert (j, [1;1;2;3;3;3;4]);
## Test options with cellstr inputs
%!test
%! [y,i,j] = unique ({"z"; "z"; "z"});
%! assert (y, {"z"});
%! assert (i, [1]);
%! assert (j, [1;1;1]);
%!test
%! [y,i,~] = unique ({"B"; "A"; "B"}, "stable");
%! assert (y, {"B"; "A"});
%! assert (i, [1; 2]);
%!test
%! A = [1,2,3; 1,2,3];
%! [y,i,j] = unique (A, "rows");
%! assert (y, [1,2,3]);
%! assert (A(i,:), y);
%! assert (y(j,:), A);
%!test
%! A = [4,5,6; 1,2,3; 4,5,6];
%! [y,i,~] = unique (A, "rows", "stable");
%! assert (y, [4,5,6; 1,2,3]);
%! assert (A(i,:), y);
%! ## FIXME: 'j' output not calculated correctly with "stable"
%! ##assert (y(j,:), A);
## Test "legacy" option
%!test
%! [y,i,j] = unique ([1,1,2,3,3,3,4], "legacy");
%! assert (y, [1,2,3,4]);
%! assert (i, [2,3,6,7]);
%! assert (j, [1,1,2,3,3,3,4]);
%!test
%! A = [7 9 7; 0 0 0; 7 9 7; 5 5 5; 1 4 5];
%! [y,i,j] = unique (A, "rows", "legacy");
%! assert (y, [0 0 0; 1 4 5; 5 5 5; 7 9 7]);
%! assert (i, [2; 5; 4; 3]);
%! assert (j, [4; 1; 4; 3; 2]);
## Test input validation
%!error <Invalid call> unique ()
%!error <X must be an array or cell array of strings> unique ({1})
%!error <options must be strings> unique (1, 2)
%!error <cannot specify both "first" and "last"> unique (1, "first", "last")
%!error <cannot specify both "sorted" and "stable">
%! unique (1, "sorted", "stable");
%!error <cannot specify "first"/"last" with "sorted"/"stable">
%! unique (1, "first", "sorted");
%!error <cannot specify "first"/"last" with "sorted"/"stable">
%! unique (1, "last", "stable");
%!error <cannot specify "sorted" or "stable" with "legacy">
%! unique (1, "sorted", "legacy");
%!error <cannot specify "sorted" or "stable" with "legacy">
%! unique (1, "stable", "legacy");
%!error <invalid option> unique (1, "middle")
%!error <invalid option> unique ({"a", "b", "c"}, "UnknownOption")
%!error <invalid option> unique ({"a", "b", "c"}, "UnknownOption1", "UnknownOption2")
%!error <invalid option> unique ({"a", "b", "c"}, "rows", "UnknownOption2")
%!error <invalid option> unique ({"a", "b", "c"}, "UnknownOption1", "last")
%!warning <"rows" is ignored for cell arrays> unique ({"1"}, "rows");
%!warning <third output J is not yet implemented>
%! [y,i,j] = unique ([2,1], "stable");
%! assert (j, []);
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