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openedon Jul 26, 2023
julia> const AD1 = Array;
julia> B = Tuple{Type{Tuple{AD1{Float64, 1}, AD1{Float64, 1}}}};
julia> A = Tuple{Type{<:Tuple{T, S}}} where {T, S};
julia> D = Tuple{Type{Base.Broadcast.Broadcasted{Base.Broadcast.ArrayStyle{AD1}, Nothing, typeof(+), Tuple{AD1{Float64, 1}, AD1{Float64, 1}}}}};
julia> Core.Compiler.limit_type_size(B, A, D, 0, 0)
Tuple{Type{Tuple{Vector{Float64}, Vector{Float64}}}}
julia> Core.Compiler.type_more_complex(B, A, Core.svec(D), 1, 0, 0)
true
julia> Core.Compiler._limit_type_size(B, A, Core.svec(D), 1, 0)
Tuple{Type{Tuple{Vector{Float64}, Vector{Float64}}}} # oopsie?This does not satisfy the desirable property of complexity(specTypes) :>= complexity(sig) as it makes inference limiting harder to reason about:
julia> C
Tuple{Type{Tuple{Base.Broadcast.Broadcasted{Base.Broadcast.ArrayStyle{Array}, Nothing, typeof(+), Tuple{Vector{Float64}, Vector{Float64}}}, Base.Broadcast.Broadcasted{Base.Broadcast.ArrayStyle{Array}, Nothing, typeof(+), Tuple{Vector{Float64}, Vector{Float64}}}}}};
julia> Core.Compiler.limit_type_size(B, C, D, 0, 0)
Tuple{Type}
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