110 lines
2.6 KiB
Matlab
110 lines
2.6 KiB
Matlab
function A = abs(B) % --*-- Unitary tests --*--
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%@info:
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%! @deftypefn {Function File} {@var{A} =} abs (@var{B})
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%! @anchor{@dseries/uminus}
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%! @sp 1
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%! Overloads the abs method for the Dynare time series class (@ref{dseries}).
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%! @sp 2
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%! @strong{Inputs}
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%! @sp 1
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%! @table @ @var
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%! @item B
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%! Dynare time series object instantiated by @ref{dseries}.
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%! @end table
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%! @sp 1
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%! @strong{Outputs}
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%! @sp 1
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%! @table @ @var
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%! @item A
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%! Dynare time series object.
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%! @end deftypefn
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%@eod:
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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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A = dseries();
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A.freq = B.freq;
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A.nobs = B.nobs;
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A.vobs = B.vobs;
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A.init = B.init;
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A.dates = B.dates;
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A.name = cell(A.vobs,1);
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A.tex = cell(A.vobs,1);
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for i = 1:A.vobs
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A.name(i) = {[ 'abs(' B.name{i} ')']};
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A.tex(i) = {[ '|' B.tex{i} '|']};
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end
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A.data = abs(B.data);
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%@test:1
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%$ % Define a datasets.
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%$ A = randn(10,2);
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%$
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%$ % Define names
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%$ A_name = {'A1';'A2'};
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%$ A_tex = {'A_1';'A_2'};
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%$ t = zeros(6,1);
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%$
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%$ % Instantiate a time series object and compute the absolute value.
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%$ try
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%$ ts1 = dseries(A,[],A_name,A_tex);
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%$ ts2 = abs(ts1);
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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 t(1)
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%$ t(2) = dyn_assert(ts2.vobs,2);
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%$ t(3) = dyn_assert(ts2.nobs,10);
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%$ t(4) = dyn_assert(ts2.data,abs(A),1e-15);
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%$ t(5) = dyn_assert(ts2.name,{'abs(A1)';'abs(A2)'});
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%$ t(6) = dyn_assert(ts2.tex,{'|A_1|';'|A_2|'});
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%$ end
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%$ T = all(t);
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%@eof:1
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%@test:2
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%$ % Define a datasets.
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%$ A = randn(10,2);
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%$
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%$ % Define names
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%$ A_name = {'A1';'A2'};
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%$ A_tex = {'A_1';'A_2'};
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%$ t = zeros(6,1);
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%$
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%$ % Instantiate a time series object and compute the absolute value.
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%$ try
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%$ ts1 = dseries(A,[],A_name,A_tex);
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%$ ts2 = ts1.abs();
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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 t(1)
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%$ t(2) = dyn_assert(ts2.vobs,2);
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%$ t(3) = dyn_assert(ts2.nobs,10);
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%$ t(4) = dyn_assert(ts2.data,abs(A),1e-15);
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%$ t(5) = dyn_assert(ts2.name,{'abs(A1)';'abs(A2)'});
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%$ t(6) = dyn_assert(ts2.tex,{'|A_1|';'|A_2|'});
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%$ end
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%$ T = all(t);
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%@eof:2 |