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function [tree]=sci_false(tree)
// File generated from sci_PROTO3.g: PLEASE DO NOT EDIT !
// Copyright INRIA
// M2SCI function
// Conversion function for Matlab false()
// Input: tree = Matlab funcall tree
// Ouput: tree = Scilab equivalent for tree
// Emulation function: mtlb_false()
// V.C.
// Used for false and true
name_sav=tree.name
if rhs==-1 then
if tree.name=="ones"|tree.name=="eye" then
tree=Cste(":")
elseif tree.name=="zeros" then
tree=Cste(0)
elseif tree.name=="rand" then
// Nothing changed
elseif tree.name=="randn" then
tree.rhs=Rhs(1,1,"normal")
tree.lhs(1).dims=list(1,1)
tree.lhs(1).type=Type(Double,Real)
elseif tree.name=="false" then
tree=Cste(%F)
elseif tree.name=="true" then
tree=Cste(%T)
end
return
end
if rhs==0 then
if tree.name=="ones"|tree.name=="eye" then
tree=Cste(1)
elseif tree.name=="zeros" then
tree=Cste(0)
elseif tree.name=="rand" then
// Nothing changed
elseif tree.name=="randn" then
tree.rhs=Rhs(1,1,"normal")
tree.lhs(1).dims=list(1,1)
tree.lhs(1).type=Type(Double,Real)
elseif tree.name=="false" then
tree=Cste(%F)
elseif tree.name=="true" then
tree=Cste(%T)
end
return
end
// Special cases for rand and randn
if tree.name=="randn" |tree.name=="rand" then
if tree.rhs(1).vtype==String then // State
if rhs==1 then // Get the state
if tree.name=="rand" then
onescall=Funcall("ones",1,Rhs(35,1),list())
randcall=Funcall("rand",1,Rhs("seed"),list())
tree=Operation("*",list(onescall,randcall),tree.lhs)
tree.out(1).dims=list(35,1)
tree.out(1).type=Type(Double,Real)
else
onescall=Funcall("ones",1,Rhs(2,1),list())
randcall=Funcall("rand",1,Rhs("seed"),list())
tree=Operation("*",list(onescall,randcall),tree.lhs)
tree.out(1).dims=list(2,1)
tree.out(1).type=Type(Double,Real)
end
else // Set the state
tree=Funcall("rand",1,Rhs("seed",tree.rhs(2)),tree.lhs)
tree.lhs(1).dims=list(0,0)
tree.lhs(1).type=Type(Unknown,Unknown)
end
return
end
end
opt=list(),if tree.name=="randn" then opt=Cste("normal"),end
// false(n)
if rhs==1 then
n = getrhs(tree)
n=convert2double(n)
if is_complex(n) then
n=Funcall("real",1,list(n),list(Variable("",n.infer)))
elseif ~is_real(n) then
newn=Funcall("real",1,list(n),list(Variable("",n.infer)))
repl_poss(newn,n,n,"is Real");
n=newn
end
if is_a_scalar(n) then
if typeof(n)=="cste" then
dim=n.value
else
dim=Unknown
end
tree=Funcall("zeros",1,Rhs(n,n,opt),tree.lhs)
tree.lhs(1).dims=list(dim,dim)
tree.lhs(1).type=Type(Double,Real)
// false([n1,n2,...])
elseif not_a_scalar(n)
tmp=n
if typeof(n)<>"variable" then
tmp=gettempvar()
insert(Equal(list(tmp),n))
end
newrhs=list()
for k=1:size(n.dims)
newrhs(k)=Operation("ext",list(tmp,Cste(k)),list())
end
if opt<>list() then
newrhs($+1)=opt
end
tree=Funcall("zeros",1,newrhs,tree.lhs)
// All dimensions are unknown because we can not compute them here...
tree.lhs(1).dims=list()
if opt<>list() then
for k=1:size(tree.rhs)-1
tree.lhs(1).dims(k)=Unknown
end
else
for k=1:size(tree.rhs)
tree.lhs(1).dims(k)=Unknown
end
end
tree.lhs(1).type=Type(Double,Real)
// false(n) or false([n1,n2,...]) ?
else
tree.name="mtlb_false"
tree.lhs(1).dims=list(Unknown,Unknown)
tree.lhs(1).type=Type(Double,Real)
end
// false(n1,n2,..)
else
for k=1:size(tree.rhs)
tree.rhs(k)=convert2double(tree.rhs(k))
if is_complex(tree.rhs(k)) then
tree.rhs(k)=Funcall("real",1,list(tree.rhs(k)),list())
elseif ~is_real(tree.rhs(k)) then
newn=Funcall("real",1,list(tree.rhs(k)),list())
repl_poss(newn,tree.rhs(k),tree.rhs(k),"is Real");
tree.rhs(k)=newn
end
end
if opt<>list() then
tree.rhs($+1)=opt
end
tree.name="zeros"
// If one input is a Cste, we can infer corresponding dimension...
tree.lhs(1).dims=list()
for k=1:size(tree.rhs)
if typeof(tree.rhs(k))=="cste" then
if tree.rhs(k).value<>"normal" then
tree.lhs(1).dims($+1)=tree.rhs(k).value
end
else
tree.lhs(1).dims($+1)=Unknown
end
end
tree.lhs(1).type=Type(Double,Real)
end
if or(name_sav==["false","true"]) then
if name_sav=="false" then
tree.name="zeros"
else
tree.name="ones"
end
tree.lhs(1).type=Type(Boolean,Real)
tree=Operation("==",list(tree,Cste(1)),tree.lhs)
end
endfunction
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