/usr/share/dynare/matlab/@dseries/merge.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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 | function A = merge(B,C) % --*-- Unitary tests --*--
%@info:
%! @deftypefn {Function File} {@var{A} =} merge (@var{B},@var{C})
%! @anchor{@dseries/plus}
%! @sp 1
%! Overloads the merge 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) 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(C)
error('dseries::merge: Both inputs must be dseries objects!')
end
if ~isequal(B.freq,C.freq)
error(['dseries::merge: Cannot merge ' inputname(1) ' and ' inputname(2) ' (frequencies are different)!'])
end
A = dseries();
A.freq = B.freq;
[A.name, IBC, junk] = unique([B.name; C.name], 'last');
tex = [B.tex; C.tex];
A.tex = tex(IBC);
A.vobs=length(IBC);
if B.nobs == 0
A = C;
elseif C.nobs == 0
A = B;
elseif B.init >= C.init
diff = B.init - C.init;
A.nobs = max(B.nobs + diff, C.nobs);
A.data = NaN(A.nobs, A.vobs);
Z1 = [NaN(diff,B.vobs);B.data];
if A.nobs > B.nobs + diff
Z1 = [Z1; NaN(A.nobs-(B.nobs + diff),B.vobs)];
end;
Z2 = C.data;
if A.nobs > C.nobs
Z2 = [Z2; NaN(A.nobs - C.nobs,C.vobs)];
end;
Z = [Z1 Z2];
A.data = Z(:,IBC);
A.init = C.init;
else
diff = C.init - B.init;
A.nobs = max(C.nobs + diff, B.nobs);
A.data = NaN(A.nobs, A.vobs);
Z1 = [NaN(diff,C.vobs);C.data];
if A.nobs > C.nobs + diff
Z1 = [Z1; NaN(A.nobs-(C.nobs + diff),C.vobs)];
end;
Z2 = B.data;
if A.nobs > B.nobs
Z2 = [Z2; NaN(A.nobs - B.nobs,B.vobs)];
end;
Z = [Z2 Z1];
A.data = Z(:,IBC);
A.init = B.init;
end
A.dates = A.init:A.init+(A.nobs-1);
%@test:1
%$ % Define a datasets.
%$ A = rand(10,2); B = randn(10,1);
%$
%$ % Define names
%$ A_name = {'A1';'A2'}; B_name = {'A1'};
%$
%$ t = zeros(4,1);
%$
%$ % Instantiate a time series object.
%$ try
%$ ts1 = dseries(A,[],A_name,[]);
%$ ts2 = dseries(B,[],B_name,[]);
%$ ts3 = merge(ts1,ts2);
%$ t(1) = 1;
%$ catch
%$ t = 0;
%$ end
%$
%$ if length(t)>1
%$ t(2) = dyn_assert(ts3.vobs,2);
%$ t(3) = dyn_assert(ts3.nobs,10);
%$ t(4) = dyn_assert(ts3.data,[B, A(:,2)],1e-15);
%$ end
%$ T = all(t);
%@eof:1
%@test:2
%$ % Define a datasets.
%$ A = rand(10,2); B = randn(10,1);
%$
%$ % Define names
%$ A_name = {'A1';'A2'}; B_name = {'B1'};
%$
%$ t = zeros(4,1);
%$
%$ % Instantiate a time series object.
%$ try
%$ ts1 = dseries(A,[],A_name,[]);
%$ ts2 = dseries(B,[],B_name,[]);
%$ ts3 = merge(ts1,ts2);
%$ t(1) = 1;
%$ catch
%$ t = 0;
%$ end
%$
%$ if length(t)>1
%$ t(2) = dyn_assert(ts3.vobs,3);
%$ t(3) = dyn_assert(ts3.nobs,10);
%$ t(4) = dyn_assert(ts3.data,[A, B],1e-15);
%$ end
%$ T = all(t);
%@eof:2
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