89 lines
2.3 KiB
Matlab
89 lines
2.3 KiB
Matlab
function C = eq(A,B) % --*-- Unitary tests --*--
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% Overloads eq (==) operator.
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%
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% INPUTS
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% o A dseries object (T periods, N variables).
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% o B dseries object (T periods, N variables).
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%
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% OUTPUTS
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% 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 equal.
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%
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% REMARKS
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% If the number of variables, the number of observations or the frequencies are different in A and B, the function returns a zero scalar.
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% Copyright (C) 2013 Dynare Team
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%
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% This file is part of Dynare.
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%
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% Dynare is free software: you can redistribute it and/or modify
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% it under the terms of the GNU General Public License as published by
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% the Free Software Foundation, either version 3 of the License, or
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% (at your option) any later version.
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%
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% Dynare is distributed in the hope that it will be useful,
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% but WITHOUT ANY WARRANTY; without even the implied warranty of
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% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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% GNU General Public License for more details.
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%
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% You should have received a copy of the GNU General Public License
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% along with Dynare. If not, see <http://www.gnu.org/licenses/>.
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if nargin~=2
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error('dseries::eq: I need exactly two input arguments!')
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end
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if ~(isdseries(A) && isdseries(B))
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error('dseries::eq: Both input arguments must be dseries objects!')
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end
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if ~isequal(nobs(A), nobs(B))
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warning('dseries::eq: Both input arguments should have the same number of observations!')
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C = 0;
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return
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end
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if ~isequal(vobs(A), vobs(B))
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warning('dseries::eq: Both input arguments should have the same number of observations!')
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C = 0;
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return
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end
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if ~isequal(frequency(A),frequency(B))
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warning('dseries::eq: Both input arguments should have the same frequencies!')
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C = 0;
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return
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end
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if ~isequal(firstdate(A),firstdate(B))
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warning('dseries::eq: Both input arguments should have the same initial period!')
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C = 0;
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return
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end
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C = eq(A.data, B.data);
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%@test:1
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%$ % Define a datasets.
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%$ A = rand(10,3);
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%$
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%$ % Define names
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%$ A_name = {'A1';'A2';'A3'};
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%$
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%$ t = zeros(2,1);
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%$
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%$ % Instantiate a time series object.
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%$ try
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%$ ts1 = dseries(A,[],A_name,[]);
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%$ ts2 = ts1;
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%$ a = eq(ts1,ts2);
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%$ t(1) = 1;
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%$ catch
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%$ t = 0;
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%$ end
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%$
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%$ if length(t)>1
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%$ t(2) = dassert(a,logical(ones(10,3)));
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%$ end
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%$ T = all(t);
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%@eof:1 |