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function [tree]=sci_mean(tree)
// File generated from sci_PROTO8.g: PLEASE DO NOT EDIT !
// Copyright INRIA
// M2SCI function
// Conversion function for Matlab mean()
// Input: tree = Matlab funcall tree
// Ouput: tree = Scilab equivalent for tree
// Emulation function: mtlb_mean()
// V.C.
// B = mean(A)
if rhs==1 then
A = getrhs(tree)
// Because %b_mean and %C_mean are not defined
A = convert2double(A)
tree.rhs=Rhs(A,"m")
if is_real(A) then
tree.lhs(1).type=Type(Double,Real)
else
tree.lhs(1).type=Type(Double,Unknown)
end
if is_a_vector(A) | is_empty(A) then
tree.lhs(1).dims=list(1,1)
elseif not_a_vector(A) then
tree.lhs(1).dims=list(1,A.dims(2))
elseif not_empty(A) then
dim = first_non_singleton(A)
if dim>0 then
tree.lhs(1).dims=A.dims
tree.lhs(1).dims(dim)=1
else
tree.lhs(1).dims=allunknown(A.dims)
end
else
tree.lhs(1).dims=allunknown(A.dims)
end
// B = mean(A,dim)
else
[A,dim] = getrhs(tree)
// Because %b_mean and %C_mean are not defined
A=convert2double(A)
dim=convert2double(dim)
tree.rhs=Rhs(A,dim)
if typeof(dim)=="cste" then
if dim.value>size(A.dims) then
// Scilab mean() does not work when dim is greater than number of dims A
tree.name="mtlb_mean"
tree.lhs(1).dims=allunknown(A.dims)
else
tree.lhs(1).dims=A.dims
tree.lhs(1).dims(dim.value)=1
end
else
tree.name="mtlb_mean"
tree.lhs(1).dims=allunknown(A.dims)
end
if is_real(A) then
tree.lhs(1).type=Type(Double,Real)
else
tree.lhs(1).type=Type(Double,Unknown)
end
end
endfunction
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