function C = ne(A,B) % --*-- Unitary tests --*-- % Overloads ne (~=) operator. % % INPUTS % o A dseries object (T periods, N variables). % o B dseries object (T periods, N variables). % % OUTPUTS % o C T*N matrix of zeros and ones. Element C(t,n) is nonzero iff observation t of variable n in A and B are different. % % REMARKS % If the number of variables, the number of observations or the frequencies are different in A and B, the function returns one. % 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 . if nargin~=2 error('dseries::ne: I need exactly two input arguments!') end if ~(isdseries(A) && isdseries(B)) error('dseries::ne: Both input arguments must be dseries objects!') end if ~isequal(A.nobs,B.nobs) warning('dseries::eq: Both input arguments should have the same number of observations!') C = 1; return end if ~isequal(A.vobs,B.vobs) warning('dseries::eq: Both input arguments should have the same number of observations!') C = 1; return end if ~isequal(A.freq,B.freq) warning('dseries::eq: Both input arguments should have the same frequencies!') C = 1; return end if ~isequal(A.init,B.init) warning('dseries::eq: Both input arguments should have the same initial period!') C = 1; return end if ~isequal(A.name,B.name) warning('dseries::eq: Both input arguments do not have the same variables!') end if ~isequal(A.tex,B.tex) warning('dseries::eq: Both input arguments do not have the same tex names!') end C = ne(A.data, B.data); %@test:1 %$ % Define a datasets. %$ A = rand(10,3); %$ B = A; %$ B(:,3) = rand(10,1); %$ %$ % Define names %$ A_name = {'A1';'A2';'A3'}; B_name = A_name; %$ %$ t = zeros(2,1); %$ %$ % Instantiate a time series object. %$ try %$ ts1 = dseries(A,[],A_name,[]); %$ ts2 = dseries(B,[],B_name,[]); %$ ts2 = ts1; %$ a = eq(ts1,ts2); %$ t(1) = 1; %$ catch %$ t = 0; %$ end %$ %$ if length(t)>1 %$ t(2) = dyn_assert(a,[ones(10,2), ones(10,1)]); %$ end %$ T = all(t); %@eof:1