function A = mrdivide(B,C) % --*-- Unitary tests --*--
%@info:
%! @deftypefn {Function File} {@var{A} =} mrdivide (@var{B},@var{C})
%! @anchor{@dseries/mrdivide}
%! @sp 1
%! Overloads the mrdivide 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 .
if isa(B,'dseries') && isa(C,'dseries')
% Element by element divisions of two dseries object
if ~isequal(B.vobs,C.vobs) && ~(isequal(B.vobs,1) || isequal(C.vobs,1))
error(['dseries::times: Cannot divide ' inputname(1) ' and ' inputname(2) ' (wrong number of variables)!'])
else
if B.vobs>C.vobs
idB = 1:B.vobs;
idC = ones(1:B.vobs);
elseif B.vobs1
%$ t(2) = dyn_assert(ts3.vobs,2);
%$ t(3) = dyn_assert(ts3.nobs,10);
%$ t(4) = dyn_assert(ts3.data,[A(:,1)./B, A(:,2)./B],1e-15);
%$ end
%$ T = all(t);
%@eof:1
%@test:2
%$ % Define a datasets.
%$ A = rand(10,2); B = pi;
%$
%$ % Define names
%$ A_name = {'A1';'A2'};
%$
%$ t = zeros(4,1);
%$
%$ % Instantiate a time series object.
%$ try
%$ ts1 = dseries(A,[],A_name,[]);
%$ ts2 = ts1/B;
%$ 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/B,1e-15);
%$ end
%$ T = all(t);
%@eof:2
%@test:3
%$ % Define a datasets.
%$ A = rand(10,2); B = pi;
%$
%$ % Define names
%$ A_name = {'A1';'A2'};
%$
%$ t = zeros(4,1);
%$
%$ % Instantiate a time series object.
%$ try
%$ ts1 = dseries(A,[],A_name,[]);
%$ ts2 = B/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,B./A,1e-15);
%$ end
%$ T = all(t);
%@eof:3