/usr/share/dynare/matlab/@dseries/mpower.m is in dynare-common 4.4.1-1build1.
This file is owned by root:root, with mode 0o644.
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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 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 | function A = mpower(B,C) % --*-- Unitary tests --*--
%@info:
%! @deftypefn {Function File} {@var{A} =} mpower (@var{B},@var{C})
%! @anchor{@dseries/mpower}
%! @sp 1
%! Overloads the mpower 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}, with T observations and N variables.
%! @item C
%! Real scalar or a dseries object with T observations and N variables.
%! @end table
%! @sp 1
%! @strong{Outputs}
%! @sp 1
%! @table @ @var
%! @item A
%! dseries object with T observations and N variables.
%! @end deftypefn
%@eod:
% 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 <http://www.gnu.org/licenses/>.
if isdseries(B) && isnumeric(C) && isreal(C) && isscalar(C)
A = dseries();
A.freq = B.freq;
A.init = B.init;
A.dates = B.dates;
A.nobs = B.nobs;
A.vobs = B.vobs;
A.name = cell(A.vobs,1);
A.tex = cell(A.vobs,1);
for i=1:A.vobs
A.name(i) = {['power(' B.name{i} ',' num2str(C) ')']};
A.tex(i) = {[B.tex{i} '^' num2str(C) ]};
end
A.data = B.data.^C;
return
end
if isdseries(B) && isdseries(C)
if isequal(B.nobs,C.nobs) && isequal(B.vobs,C.vobs) && isequal(B.freq,C.freq)
A = dseries();
A.freq = B.freq;
A.init = B.init;
A.dates = B.dates;
A.nobs = B.nobs;
A.vobs = B.vobs;
A.name = cell(A.vobs,1);
A.tex = cell(A.vobs,1);
for i=1:A.vobs
A.name(i) = {['power(' B.name{i} ',' C.name{i} ')']};
A.tex(i) = {[B.tex{i} '^{' C.tex{i} '}']};
end
A.data = B.data.^C.data;
else
error('dseries::mpower: If both input arguments are dseries objects, they must have the same numbers of variables and observations and common frequency!')
end
return
end
error(['dseries::mpower: Wrong calling sequence!'])
%@test:1
%$ % Define a datasets.
%$ A = rand(10,2); B = randn(10,2);
%$
%$ % Define names
%$ A_name = {'A1';'A2'}; B_name = {'B1';'B2'};
%$
%$
%$ % Instantiate a time series object.
%$ try
%$ ts1 = dseries(A,[],A_name,[]);
%$ ts2 = dseries(B,[],B_name,[]);
%$ ts3 = ts1^ts2;
%$ t = 1;
%$ catch
%$ t = 0;
%$ end
%$
%$ if t(1)
%$ t(2) = dyn_assert(ts3.vobs,2);
%$ t(3) = dyn_assert(ts3.nobs,10);
%$ t(4) = dyn_assert(ts3.data,A.^B,1e-15);
%$ t(5) = dyn_assert(ts3.name,{'power(A1,B1)';'power(A2,B2)'});
%$ t(6) = dyn_assert(ts3.tex,{'A1^{B1}';'A2^{B2}'});
%$ end
%$ T = all(t);
%@eof:1
%@test:2
%$ % Define a datasets.
%$ A = rand(10,2);
%$
%$ % Define names
%$ A_name = {'A1';'A2'};
%$
%$
%$ % Instantiate a time series object.
%$ try
%$ ts1 = dseries(A,[],A_name,[]);
%$ ts3 = ts1^2;
%$ t = 1;
%$ catch
%$ t = 0;
%$ end
%$
%$ if t(1)
%$ t(2) = dyn_assert(ts3.vobs,2);
%$ t(3) = dyn_assert(ts3.nobs,10);
%$ t(4) = dyn_assert(ts3.data,A.^2,1e-15);
%$ t(5) = dyn_assert(ts3.name,{'power(A1,2)';'power(A2,2)'});
%$ t(6) = dyn_assert(ts3.tex,{'A1^2';'A2^2'});
%$ end
%$ T = all(t);
%@eof:2
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