function o = uminus(o) % --*-- Unitary tests --*-- % Overloads the uminus method for dseries objects. % % INPUTS % - o [dseries] % % OUTPUTS % - o [dseries] % Copyright (C) 2012-2017 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 . o = copy(o); o.data = -(o.data); for i = 1:vobs(o) if isempty(o.ops{i}) o.ops(i) = {sprintf('uminus(%s)', o.name{i})}; else o.ops(i) = {sprintf('uminus(%s)', o.ops{i})}; end end %@test:1 %\$ % Define a datasets. %\$ A = rand(10,2); %\$ %\$ % Define names %\$ A_name = {'A1';'A2'}; %\$ A_tex = {'A_1';'A_2'}; %\$ t = zeros(6,1); %\$ %\$ % Instantiate a time series object. %\$ try %\$ ts1 = dseries(A,[],A_name,A_tex); %\$ ts2 = -ts1; %\$ t(1) = 1; %\$ catch %\$ t = 0; %\$ end %\$ %\$ if length(t)>1 %\$ t(2) = dassert(ts2.vobs,2); %\$ t(3) = dassert(ts2.nobs,10); %\$ t(4) = dassert(ts2.data,-A,1e-15); %\$ t(5) = dassert(ts2.name,{'A1';'A2'}); %\$ t(6) = dassert(ts2.tex,{'A_1';'A_2'}); %\$ t(7) = dassert(ts2.ops,{'uminus(A1)';'uminus(A2)'}); %\$ end %\$ T = all(t); %@eof:1