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Note that _var8 is Array{Any,1} and the backslash method as a whole has inferred return type Any:
_var8
Array{Any,1}
Any
julia> (@code_typed rand(3,3)\rand(3))[1].args[2][2] 19-element Array{Any,1}: Any[:A,Array{Float64,2},0] Any[:B,Array{Float64,1},0] Any[symbol("#s1986"),(Int64,Int64),18] Any[symbol("#s1984"),(Int64,Int64),18] Any[:m,Int64,18] Any[symbol("#s1983"),(Int64,Int64),18] Any[:n,Int64,18] Any[symbol("#s1985"),Int64,2] Any[:_var1,Array{Float64,1},18] Any[:_var0,Int64,18] Any[:_var4,Int64,18] Any[:_var5,Array{Float64,2},18] Any[:_var8,Array{Any,1},18] Any[:_var2,Int64,18] Any[:_var3,Int64,18] Any[:_var6,Int64,18] Any[:_var7,Int64,18] Any[:_var9,Int64,18] Any[:_var10,Int64,18] julia> (@code_typed rand(3,3)\rand(3))[1].args[3] :(begin # linalg/dense.jl, line 409: _var2 = (top(arraysize))(A::Array{Float64,2},1)::Int64 _var3 = (top(arraysize))(A::Array{Float64,2},2)::Int64 #s1985 = 1 _var6 = _var2::Int64 _var7 = (top(box))(Int64,(top(add_int))(1,1))::Int64 m = _var6::Int64 #s1985 = _var7::Int64 _var9 = _var3::Int64 _var10 = (top(box))(Int64,(top(add_int))(2,1))::Int64 n = _var9::Int64 #s1985 = _var10::Int64 # line 410: unless m::Int64 === n::Int64::Bool goto 3 # line 411: unless istril(A::Array{Float64,2})::Bool goto 1 # line 412: unless istriu(A::Array{Float64,2})::Bool goto 0 _var1 = getindex(A::Array{Float64,2},diagind((top(arraysize))(A::Array{Float64,2},1)::Int64,(top(arraysize))(A::Array{Float64,2},2)::Int64,0)::StepRange{Int64,Int64})::Array{Float64,1} return $(Expr(:new, Diagonal{Float64}, :(_var1::Array{Float64,1})))::Diagonal{Float64} \ B::Array{Float64,1}::Array{Float64,1} 0: chksquare(A::Array{Float64,2})::Int64 return ((top(apply_type))(Triangular,Float64,typeof(A::Array{Float64,2})::Type{Array{Float64,2}},:L,false)::Type{_<:Triangular{Float64,Array{Float64,2},UpLo,IsUnit}})(A::Array{Float64,2})::Triangular{T,S<:AbstractArray{T,2},UpLo,IsUnit} \ B::Array{Float64,1} 1: # line 414: unless istriu(A::Array{Float64,2})::Bool goto 2 chksquare(A::Array{Float64,2})::Int64 return ((top(apply_type))(Triangular,Float64,typeof(A::Array{Float64,2})::Type{Array{Float64,2}},:U,false)::Type{_<:Triangular{Float64,Array{Float64,2},UpLo,IsUnit}})(A::Array{Float64,2})::Triangular{T,S<:AbstractArray{T,2},UpLo,IsUnit} \ B::Array{Float64,1} 2: # line 415: _var8 = (top(ccall))(:jl_alloc_array_1d,$(Expr(:call1, :(top(apply_type)), :Array, Any, 1))::Type{Array{Any,1}},$(Expr(:call1, :(top(tuple)), :Any, :Int))::(Type{Any},Type{Int64}),Array{Any,1},0,2,0)::Array{Any,1} _var4 = (top(arraysize))(A::Array{Float64,2},1)::Int64 _var0 = (top(arraysize))(A::Array{Float64,2},2)::Int64 _var5 = (top(ccall))(:jl_alloc_array_2d,$(Expr(:call1, :(top(apply_type)), :Array, Float64, 2))::Type{Array{Float64,2}},$(Expr(:call1, :(top(tuple)), :Any, :Int, :Int))::(Type{Any},Type{Int64},Type{Int64}),Array{Float64,2},0,_var4::Int64,0,_var0::Int64,0)::Array{Float64,2} return (top(kwcall))(call,1,:pivot,true,lufact!,_var8::Array{Any,1},copy!(_var5::Array{Float64,2},1,A::Array{Float64,2},1,(top(arraylen))(A::Array{Float64,2})::Int64)::Array{Float64,2})::LU{Float64,Array{Float64,2}} \ B::Array{Float64,1}::Array{Float64,1} 3: # line 417: return (top(kwcall))(call,1,:pivot,Float64 <: BlasFloat::Bool,qrfact,(top(ccall))(:jl_alloc_array_1d,$(Expr(:call1, :(top(apply_type)), :Array, Any, 1))::Type{Array{Any,1}},$(Expr(:call1, :(top(tuple)), :Any, :Int))::(Type{Any},Type{Int64}),Array{Any,1},0,2,0)::Array{Any,1},A::Array{Float64,2})::Union(QRPivoted{Float64},QRCompactWY{Float64}) \ B::Array{Float64,1} end)
The text was updated successfully, but these errors were encountered:
andreasnoack
Successfully merging a pull request may close this issue.
Note that
_var8
isArray{Any,1}
and the backslash method as a whole has inferred return typeAny
:The text was updated successfully, but these errors were encountered: