function o = horzcat(varargin) % --*-- Unitary tests --*--

% Overloads the horzcat method for dates objects.
%
% INPUTS
% - varargin [dates]
%
% OUTPUTS
% - o [dates] object containing dates defined in varargin{:}

% Copyright (C) 2013-2017 Dynare Team
%
% This code 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.
%
% Dynare dates submodule 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 Dynare.  If not, see <http://www.gnu.org/licenses/>.

if ~all(cellfun(@isdates,varargin))
    error('dates:horzcat:ArgCheck','All input arguments must be dates objects.')
end

o = copy(varargin{1});
for i=2:nargin
    p = varargin{i};
    if isequal(o.freq,p.freq)
        if ~isempty(p)
            o.time = [o.time; p.time];
        end
    else
        error('dates:horzcat','All input arguments must have the same frequency!')
    end
end

%@test:1
%$ % Define some dates
%$ B1 = '1953Q4';
%$ B2 = '1950Q2';
%$ B3 = '1950Q1';
%$ B4 = '1945Q3';
%$ B5 = '2009Q2';
%$
%$ % Define expected results.
%$ e.time = [1945 3; 1950 1; 1950 2; 1953 4; 2009 2];
%$ e.freq = 4;
%$
%$ % Call the tested routine.
%$ d = dates(B4,B3,B2,B1);
%$ d = [d, dates(B5)];
%$
%$ % Check the results.
%$ t(1) = dassert(d.time,e.time);
%$ t(2) = dassert(d.freq,e.freq);
%$ t(3) = size(e.time,1)==d.ndat();
%$ T = all(t);
%@eof:1

%@test:2
%$ % Define some dates
%$ B1 = '1953Q4';
%$ B2 = '1950Q2';
%$ B3 = '1950Q1';
%$ B4 = '1945Q3';
%$ B5 = '2009Q2';
%$
%$ % Define expected results.
%$ e.time = [1945 3; 1950 1; 1950 2; 1953 4; 2009 2];
%$ e.freq = 4;
%$
%$ % Call the tested routine.
%$ d = dates(B4,B3,B2);
%$ d = [d, dates(B1), dates(B5)];
%$
%$ % Check the results.
%$ t(1) = dassert(d.time,e.time);
%$ t(2) = dassert(d.freq,e.freq);
%$ t(3) = size(e.time,1)==d.ndat();
%$ T = all(t);
%@eof:2

%@test:3
%$ % Define some dates
%$ B1 = '1953Q4';
%$ B2 = '1950Q2';
%$ B3 = '1950Q1';
%$ B4 = '1945Q3';
%$ B5 = '2009Q2';
%$
%$ % Define expected results.
%$ e.time = [1945 3; 1950 1; 1950 2; 1953 4; 2009 2];
%$ e.freq = 4;
%$
%$ % Call the tested routine.
%$ d = dates(B4,B3,B2);
%$ d = [d, dates(B1,B5)];
%$
%$ % Check the results.
%$ t(1) = dassert(d.time,e.time);
%$ t(2) = dassert(d.freq,e.freq);
%$ t(3) = size(e.time,1)==d.ndat();
%$ T = all(t);
%@eof:3

%@test:4
%$ % Define some dates
%$ B1 = '1953Q4';
%$ B2 = '1950Q2';
%$ B3 = '1950Q1';
%$ B4 = '1945Q3';
%$ B5 = '2009Q2';
%$
%$ % Define expected results.
%$ e.time = [1945 3; 1950 1; 1950 2; 1953 4; 2009 2];
%$ e.freq = 4;
%$
%$ % Call the tested routine.
%$ d = dates(B4,B3,B2);
%$ d = [d, [dates(B1), dates(B5)]];
%$
%$ % Check the results.
%$ t(1) = dassert(d.time,e.time);
%$ t(2) = dassert(d.freq,e.freq);
%$ t(3) = size(e.time,1)==d.ndat();
%$ T = all(t);
%@eof:4
