1function o = uminus(o) % --*-- Unitary tests --*-- 2 3% Overloads the uminus method for dseries objects. 4% 5% INPUTS 6% - o [dseries] 7% 8% OUTPUTS 9% - o [dseries] 10 11% Copyright (C) 2012-2017 Dynare Team 12% 13% This file is part of Dynare. 14% 15% Dynare is free software: you can redistribute it and/or modify 16% it under the terms of the GNU General Public License as published by 17% the Free Software Foundation, either version 3 of the License, or 18% (at your option) any later version. 19% 20% Dynare is distributed in the hope that it will be useful, 21% but WITHOUT ANY WARRANTY; without even the implied warranty of 22% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 23% GNU General Public License for more details. 24% 25% You should have received a copy of the GNU General Public License 26% along with Dynare. If not, see <http://www.gnu.org/licenses/>. 27 28o = copy(o); 29 30o.data = -(o.data); 31 32for i = 1:vobs(o) 33 if isempty(o.ops{i}) 34 o.ops(i) = {sprintf('uminus(%s)', o.name{i})}; 35 else 36 o.ops(i) = {sprintf('uminus(%s)', o.ops{i})}; 37 end 38end 39 40%@test:1 41%$ % Define a datasets. 42%$ A = rand(10,2); 43%$ 44%$ % Define names 45%$ A_name = {'A1';'A2'}; 46%$ A_tex = {'A_1';'A_2'}; 47%$ t = zeros(6,1); 48%$ 49%$ % Instantiate a time series object. 50%$ try 51%$ ts1 = dseries(A,[],A_name,A_tex); 52%$ ts2 = -ts1; 53%$ t(1) = 1; 54%$ catch 55%$ t = 0; 56%$ end 57%$ 58%$ if length(t)>1 59%$ t(2) = dassert(ts2.vobs,2); 60%$ t(3) = dassert(ts2.nobs,10); 61%$ t(4) = dassert(ts2.data,-A,1e-15); 62%$ t(5) = dassert(ts2.name,{'A1';'A2'}); 63%$ t(6) = dassert(ts2.tex,{'A_1';'A_2'}); 64%$ t(7) = dassert(ts2.ops,{'uminus(A1)';'uminus(A2)'}); 65%$ end 66%$ T = all(t); 67%@eof:1 68