/usr/share/dynare/matlab/@dseries/uminus.m is in dynare-common 4.4.1-1build1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 | function A = uminus(B) % --*-- Unitary tests --*--
%@info:
%! @deftypefn {Function File} {@var{A} =} plus (@var{B},@var{C})
%! @anchor{@dseries/uminus}
%! @sp 1
%! Overloads the uminus method for the Dynare time series class (@ref{dseries}).
%! @sp 2
%! @strong{Inputs}
%! @sp 1
%! @table @ @var
%! @item B
%! Dynare time series object instantiated by @ref{dseries}.
%! @item C
%! Dynare time series object instantiated by @ref{dseries}.
%! @end table
%! @sp 1
%! @strong{Outputs}
%! @sp 1
%! @table @ @var
%! @item A
%! Dynare time series object.
%! @end deftypefn
%@eod:
% Copyright (C) 2012-2013 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 <http://www.gnu.org/licenses/>.
A = dseries();
A.freq = B.freq;
A.nobs = B.nobs;
A.vobs = B.vobs;
A.init = B.init;
A.dates = B.dates;
A.name = cell(A.vobs,1);
A.tex = cell(A.vobs,1);
for i = 1:A.vobs
A.name(i) = {[ '-' B.name{i}]};
A.tex(i) = {[ '-' B.tex{i}]};
end
A.data = -(B.data);
%@test:1
%$ % Define a datasets.
%$ A = rand(10,2);
%$
%$ % Define names
%$ A_name = {'A1';'A2'};
%$ A_tex = {'A_1';'A_2'};
%$ t = zeros(6,1);
%$
%$ % Instantiate a time series object.
%$ try
%$ ts1 = dseries(A,[],A_name,A_tex);
%$ ts2 = -ts1;
%$ t(1) = 1;
%$ catch
%$ t = 0;
%$ end
%$
%$ if length(t)>1
%$ t(2) = dyn_assert(ts2.vobs,2);
%$ t(3) = dyn_assert(ts2.nobs,10);
%$ t(4) = dyn_assert(ts2.data,-A,1e-15);
%$ t(5) = dyn_assert(ts2.name,{'-A1';'-A2'});
%$ t(6) = dyn_assert(ts2.tex,{'-A_1';'-A_2'});
%$ end
%$ T = all(t);
%@eof:1
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