function A = abs(B) % --*-- Unitary tests --*--

%@info:
%! @deftypefn {Function File} {@var{A} =} abs (@var{B})
%! @anchor{@dseries/uminus}
%! @sp 1
%! Overloads the abs method for the Dynare time series class (@ref{dseries}).
%! @sp 2
%! @strong{Inputs}
%! @sp 1
%! @table @ @var
%! @item B
%! Dynare time series object instantiated by @ref{dseries}.
%! @end table
%! @sp 1
%! @strong{Outputs}
%! @sp 1
%! @table @ @var
%! @item A
%! Dynare time series object.
%! @end deftypefn
%@eod:

% Copyright (C) 2013 Dynare Team
%
% This file is part of Dynare.
%
% Dynare 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 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/>.

A = dseries();

A.nobs = B.nobs;
A.vobs = B.vobs;
A.dates = B.dates;
A.name = cell(A.vobs,1);
A.tex = cell(A.vobs,1);
for i = 1:A.vobs
    A.name(i) = {[ 'abs(' B.name{i} ')']};
    A.tex(i) = {[ '|' B.tex{i} '|']};
end
A.data = abs(B.data);

%@test:1
%$ % Define a datasets.
%$ A = randn(10,2);
%$
%$ % Define names
%$ A_name = {'A1';'A2'};
%$ A_tex = {'A_1';'A_2'};
%$ t = zeros(6,1);
%$
%$ % Instantiate a time series object and compute the absolute value.
%$ try
%$    ts1 = dseries(A,[],A_name,A_tex);
%$    ts2 = abs(ts1);
%$    t(1) = 1;
%$ catch
%$    t = 0;
%$ end
%$
%$ if t(1)
%$    t(2) = dyn_assert(ts2.vobs,2);
%$    t(3) = dyn_assert(ts2.nobs,10);
%$    t(4) = dyn_assert(ts2.data,abs(A),1e-15);
%$    t(5) = dyn_assert(ts2.name,{'abs(A1)';'abs(A2)'});
%$    t(6) = dyn_assert(ts2.tex,{'|A_1|';'|A_2|'});
%$ end
%$ T = all(t);
%@eof:1

%@test:2
%$ % Define a datasets.
%$ A = randn(10,2);
%$
%$ % Define names
%$ A_name = {'A1';'A2'};
%$ A_tex = {'A_1';'A_2'};
%$ t = zeros(6,1);
%$
%$ % Instantiate a time series object and compute the absolute value.
%$ try
%$    ts1 = dseries(A,[],A_name,A_tex);
%$    ts2 = ts1.abs();
%$    t(1) = 1;
%$ catch
%$    t = 0;
%$ end
%$
%$ if t(1)
%$    t(2) = dyn_assert(ts2.vobs,2);
%$    t(3) = dyn_assert(ts2.nobs,10);
%$    t(4) = dyn_assert(ts2.data,abs(A),1e-15);
%$    t(5) = dyn_assert(ts2.name,{'abs(A1)';'abs(A2)'});
%$    t(6) = dyn_assert(ts2.tex,{'|A_1|';'|A_2|'});
%$ end
%$ T = all(t);
%@eof:2