Failure in type inference when indexing Tuple with UnitRange (?)

General Usage
1

I believe this may be a bug, but thought I’d ask here first before filing an issue:

julia> foo{N,T}(bar::NTuple{N,T})=sum(bar[1:N]);@code_warntype foo((1,))
Variables:
#self#::#foo
bar::Tuple{Int64}

Body:
begin
return (Main.sum)((Expr(:invoke, LambdaInfo for getindex(::Tuple{Int64}, ::UnitRange{Int64}), :(Main.getindex), :(bar), :((Expr(:new, UnitRange{Int64}, 1, :((Base.select_value)((Base.sle_int)(1,(Expr(:static_parameter, 1)))::Bool,(Expr(:static_parameter, 1)),(Base.box)(Int64,(Base.sub_int)(1,1)))::Int64)))))))::Any
end::Any

Annotating the return type doesn’t help:

julia> workspace();foo{N,T}(bar::NTuple{N,T})::Int=sum(bar[1:N]);@code_warntype foo((1,))
Variables:
#self#::#foo
bar::Tuple{Int64}

Body:
begin
return (Base.convert)(Main.Int,(Main.sum)((Expr(:invoke, LambdaInfo for getindex(::Tuple{Int64}, ::UnitRange{Int64}), :(Main.getindex), :(bar), :((Expr(:new, UnitRange{Int64}, 1, :((Base.select_value)((Base.sle_int)(1,(Expr(:static_parameter, 1)))::Bool,(Expr(:static_parameter, 1)),(Base.box)(Int64,(Base.sub_int)(1,1)))::Int64)))))))::Any)::Any
end::Any

Version info:

julia> versioninfo()
Julia Version 0.5.0
Commit 3c9d753 (2016-09-19 18:14 UTC)
Platform Info:
System: NT (x86_64-w64-mingw32)
CPU: Intel(R) Processor 5Y10 CPU @ 0.80GHz
WORD_SIZE: 64
BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY Haswell)
LAPACK: libopenblas64_
LIBM: libopenlibm
LLVM: libLLVM-3.7.1 (ORCJIT, broadwell)

Any suggestions for a workaround? Splatting the tuple into an array first within the function resolves the type inference issue, but generates horrible looking code.

Thanks!
Simon

2

If you really need tuple, you generally want to do most computation in type domain. 1:N puts it into a value so putting it back to a type with bar[1:N] won’t be inferrable. (Writing a loop should be inferrable though)

Return type annotation doesn’t work is fixed on master.

3

Thanks yuyichao! A loop works fine indeed. Should have thought of that first, must be my Matlab upbringing getting the better of me :blush: