115 lines
2.5 KiB
Matlab
115 lines
2.5 KiB
Matlab
function [ts,id] = pop(ts,a) % --*-- Unitary tests --*--
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% Removes a variable from a dseries object.
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%@info:
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%! @deftypefn {Function File} {@var{ts} =} pop (@var{ts}, @var{a})
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%! @anchor{dseries/pop}
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%! @sp 1
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%! Pop method for the dseries class. Removes a variable from a dseries object.
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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 ts
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%! Object instantiated by @ref{dseries}.
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%! @item a
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%! String, name of the variable to be removed.
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%! @end table
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%! @sp 2
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%! @strong{Outputs}
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%! @sp 1
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%! @table @ @var
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%! @item ts
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%! Object instantiated by @ref{dseries}, without variable (@var{a}).
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%! @item id
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%! Scalar integer, position of variable (@var{a}) in the original dseries object @var{ts}.
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%! @end table
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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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if nargin<2
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% Removes the last variable
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id = ts.vobs;
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else
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id = find(strcmp(a,ts.name));
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end
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if isempty(id)
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id = 0;
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return
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end
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ts.vobs = ts.vobs-1;
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ts.data(:,id) = [];
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ts.name(id) = [];
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ts.tex(id) = [];
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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(4,1);
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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 = pop(ts1,'A2');
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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) = 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,[A(:,1), A(:,3)],1e-15);
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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 = 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,id] = pop(ts1,'A4');
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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) = dyn_assert(id,0);
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%$ t(2) = dyn_assert(isequal(ts1,ts2),1);
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%$ end
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%$ T = all(t);
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%@eof:2
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