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function [A, B, C] = df_basecomp(A, B, itercol=true, func=@plus);
%# function [A, B, C] = df_basecomp(A, B, itercol)
%# Basic size and metadata compatibility verifications for
%# two-arguments operations on dataframe. Returns a scalar, a matrix,
%# or a dataframe. Cell arrays are converted to df. Third output
%# contains a merge of the metadata.
%% Copyright (C) 2009-2017 Pascal Dupuis <cdemills@gmail.com>
%%
%% This file is part of the dataframe package for Octave.
%%
%% This package 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 2, or (at your option) any later version.
%%
%% This package 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 this package; see the file COPYING. If not,
%% see <http://www.gnu.org/licenses/>.
if (1 == length (itercol))
strict = false;
else
strict = itercol(2); itercol = itercol(1);
end
if (~isa (A, 'dataframe'))
if (iscell (A)) A = dataframe (A); end
end
if (~isa (B, 'dataframe'))
if (iscell (B)) B = dataframe (B); end
end
switch (func2str (func))
case 'bsxfun'
%# bsxfun compatibility rule: if there is at least one singleton
%# dim, the smallest is repeated to reach the size of the
%# greatest. Otherwise, all dims must be equal.
if (any (size (A)(1:2) ~= size (B)(1:2)))
if (~any (1 == [size(A) size(B)]))
error ('bsxfun: both arguments must have the same dim, of one of them must have at least one singleton dim');
else
Csize = max ([size(A)(1:2); size(B)(1:2)]);
end
else
Csize = size (A)(1:2);
end
case 'mldivide'
if (isscalar (A))
Csize = size (B)(1:2);
else
if (size (A, 1) ~= size (B, 1))
error ('Non compatible row sizes (op1 is %dx%d, op2 is %dx%d)',...
size (A), size (B)(1:2));
end
Csize = [size(A, 2) size(B, 2)];
end
otherwise
%# if strict is set, B may not be non-scalar vs scalar
if (strict && isscalar (A))
if (itercol) %# requires full compatibility
Csize = size (A)(1:2);
if (any (Csize - size (B)(1:2)))
%# disp([size(A) size(B)])
error ('Non compatible row and columns sizes (op1 is %dx%d, op2 is %dx%d)',...
Csize, size (B));
end
else %# compatibility with matrix product
if (size (A, 2) - size (B, 1))
error ('Non compatible columns vs. rows size (op1 is %dx%d, op2 is %dx%d)',...
size (A)(1:2), size (B)(1:2));
end
Csize = [size(A, 1) size(B, 2)];
end
end
if (~(isscalar (A) || isscalar (B)))
%# can it be broadcasted ?
if (any (size (A)(1:2) ~= size (B)(1:2)))
if (~any (1 == [size(A) size(B)]))
error ('bsxfun: both arguments must have the same dim, of one of them must have at least one singleton dim');
else
Csize = max ([size(A)(1:2); size(B)(1:2)]);
end
else
Csize = size (A)(1:2);
end
end
end
if (~(isscalar (A) || isscalar (B)))
C = [];
if (isa (A, 'dataframe'))
if (nargout > 2 && all (Csize == size (A)(1:2)))
C = df_allmeta (A, Csize);
end
if (isa (B, 'dataframe'))
if (nargout > 2 && isempty (C) && all (Csize == size (B)(1:2)))
C = df_allmeta (B, Csize);
end
if (strict)
%# compare indexes if both exist
if (~isempty (A.x_ridx))
if (~isempty(B.x_ridx) && itercol)
if (any (A.x_ridx-B.x_ridx))
error ('Non compatible indexes');
end
end
else
if (nargout > 2 && itercol) C.x_ridx = B.x_ridx; end
end
if (itercol)
idxB = 1; %# row-row comparison
else
idxB = 2; %# row-col comparsion
end
if (~isempty (A.x_name{1}))
if (~isempty (B.x_name{idxB}))
dummy = ~(strcmp (cellstr (A.x_name{1}), cellstr (B.x_name{idxB}))...
| (A.x_over{1}(:)) | (B.x_over{idxB}(:)));
if (any (dummy))
if (itercol)
error ('Incompatible row names');
else
error ('Incompatible row vs. column names');
end
end
dummy = A.x_over{1} > B.x_over{idxB};
if (any (dummy))
C.x_name{1}(dummy) = B.x_name{idxB}(dummy);
C.x_over{1}(dummy) = B.x_over{idxB}(dummy);
end
end
else
if (nargout > 2)
C.x_name{1} = B.x_name{idxB}; C.x_over{1} = B.x_over{idxB};
end
end
idxB = 3-idxB;
if (~isempty(A.x_name{2}))
if (~isempty(B.x_name{idxB}))
dummy = ~(strcmp (cellstr (A.x_name{2}), cellstr (B.x_name{2}))...
| (A.x_over{2}(:)) | (B.x_over{2}(:)));
if (any (dummy))
if (itercol)
error ('Incompatible column vs row names');
else
error ('Incompatible column names');
end
end
dummy = A.x_over{2} > B.x_over{idxB};
if (any (dummy))
C.x_name{2}(dummy) = B.x_name{idxB}(dummy);
C.x_over{2}(dummy) = B.x_over{idxB}(dummy);
end
end
else
if (nargout > 2 && ~isempty (B.x_name{idxB}))
C.x_name{2} = B.x_name{idxB}; C.x_over{2} = B.x_over{idxB};
end
end
end
if (isempty (A.x_src) && nargout > 2 && ~isempty (B.x_src))
C.x_src = B.x_src;
end
if (isempty (A.x_cmt) && nargout > 2 && ~isempty (B.x_cmt))
C.x_cmt = B.x_cmt;
end
else %# B is not a df
B = dataframe (B, 'colnames', '');
if (nargout > 2 && isempty (C))
C = df_allmeta (A, Csize);
end
end
else %# A is not a df
A = dataframe (A, 'colnames', '');
if (nargout > 2)
if (all (Csize == size (B)(1:2)))
C = df_allmeta (B, Csize);
else
C = df_allmeta (B, Csize);
end
end
end
else %# both arg are scalar
if (nargout > 2)
if (isa (A, 'dataframe'))
C = df_allmeta (A);
else
C = df_allmeta (B);
end
end
end
end
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