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// Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
// Copyright (C) 2002-2004 - INRIA - Vincent COUVERT
//
// This file must be used under the terms of the CeCILL.
// This source file is licensed as described in the file COPYING, which
// you should have received as part of this distribution. The terms
// are also available at
// http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
function [tree]=sci_size(tree)
// M2SCI function
// Conversion function for Matlab size()
// Input: tree = Matlab funcall tree
// Ouput: tree = Scilab equivalent for tree
// Emulation function: mtlb_size()
// In Matlab : size('str1') = [1 4] but in Scilab : size('str1') = [1 1]
// so we convert expr to ascii code matrix which have good size
// m = size(X,dim) (If two inputs, then only one output)
if rhs==2 then
[X,dim]=getrhs(tree)
if or(X.vtype==[String,Unknown]) then
X = convert2double(X)
end
tree.rhs=Rhs_tlist(X,dim)
// Matlab can work with dim > size(size(X),2) but not Scilab
if typeof(dim)=="cste" then
if dim.value>size(X.dims) then
set_infos(msprintf(gettext("M2SCI found: %s > size(size(%s),2),\nSo result is set to 1."),expression2code(dim),expression2code(X)),0)
tree=Cste(1)
else
tree.lhs(1).dims=list(1,1)
tree.lhs(1).type=Type(Double,Real)
end
else
tree=Funcall("mtlb_size",1,list(X,dim),tree.lhs)
tree.lhs(1).dims=list(1,1)
tree.lhs(1).type=Type(Double,Real)
end
// [d1,d2,d3,...,dn] = size(X)
else
X = getrhs(tree)
if or(X.vtype==[String,Unknown]) then
X = convert2double(X)
end
tree.rhs=Rhs_tlist(X)
// d1 = size(X)
if lhs==1 then
tree.lhs(1).dims=list(1,size(X.dims))
tree.lhs(1).type=Type(Double,Real)
// [d1,d2,d3,...,dn] = size(X)
else
if size(tree.lhs)<size(X.dims) then
// Number of outputs is less than size(size(X),2) so mtlb_size() is called
tree=Funcall("mtlb_size",size(tree.lhs),list(X),tree.lhs)
end
if size(tree.lhs)>size(X.dims) then
// Number of outputs is greater than size(size(X),2) so mtlb_size() is called
tree=Funcall("mtlb_size",size(tree.lhs),list(X),tree.lhs)
end
for klhs=1:size(tree.lhs)
tree.lhs(klhs).dims=list(1,1)
tree.lhs(klhs).type=Type(Double,Real)
end
end
end
endfunction
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