KeyError: key NumType not found

This is a powerful and welcome tool. I would like to apply it to more packages. I have run into a limitation on supported types that seems more narrow than necessary.

running e.g. `myselfdotavx(xs::T)` where T is a Float64 compatible primitive type (or most other numeric bitstype, including Int64 compatibles) except for T = Union{Float64, Float32, Int64, Int32} results in a `KeyError`.
```
ERROR: KeyError: key XFloat32 not found
Stacktrace:
[1] getindex at .\dict.jl:477 [inlined]
[2] llvmtype(::Type{T} where T) at C:\Users\jas\.julia\packages\VectorizationBase\rPD9W\src\vectorizable.jl:22
[3] #s13#2(::Any, ::Any, ::Any, ::Any) at C:\Users\jas\.julia\packages\VectorizationBase\rPD9W\src\VectorizationBase.jl:50
[4] (::Core.GeneratedFunctionStub)(::Any, ::Vararg{Any,N} where N) at .\boot.jl:526
[5] vzero at C:\Users\jas\.julia\packages\VectorizationBase\rPD9W\src\VectorizationBase.jl:74 [inlined]
[6] macro expansion at C:\Users\jas\.julia\packages\LoopVectorization\8wcli\src\reconstruct_loopset.jl:248 [inlined]
[7] _avx_! at C:\Users\jas\.julia\packages\LoopVectorization\8wcli\src\reconstruct_loopset.jl:248 [inlined]
[8] myselfdotavx(::Array{XFloat32,1}) at .\REPL[39]:3
[9] ##core#495() at C:\Users\jas\.julia\packages\BenchmarkTools\7aqwe\src\execution.jl:297
[10] ##sample#496(::BenchmarkTools.Parameters) at C:\Users\jas\.julia\packages\BenchmarkTools\7aqwe\src\execution.jl:303
[11] _run(::BenchmarkTools.Benchmark{Symbol("##benchmark#494")}, ::BenchmarkTools.Parameters; verbose::Bool, pad::String, kwargs::Base.Iterators.Pairs{Symbol,Integer,NTuple{4,Symbol},NamedTuple{(:samples, :evals, :gctrial, :gcsample),Tuple{Int64,Int64,Bool,Bool}}}) at C:\Users\jas\.julia\packages\BenchmarkTools\7aqwe\src\execution.jl:331
[12] (::Base.var"#inner#2"{Base.Iterators.Pairs{Symbol,Integer,NTuple{5,Symbol},NamedTuple{(:verbose, :samples, :evals, :gctrial, :gcsample),Tuple{Bool,Int64,Int64,Bool,Bool}}},typeof(BenchmarkTools._run),Tuple{BenchmarkTools.Benchmark{Symbol("##benchmark#494")},BenchmarkTools.Parameters}})() at .\essentials.jl:715
[13] #invokelatest#1 at .\essentials.jl:716 [inlined]
[14] #run_result#37 at C:\Users\jas\.julia\packages\BenchmarkTools\7aqwe\src\execution.jl:32 [inlined]
[15] run(::BenchmarkTools.Benchmark{Symbol("##benchmark#494")}, ::BenchmarkTools.Parameters; kwargs::Base.Iterators.Pairs{Symbol,Integer,NTuple{5,Symbol},NamedTuple{(:verbose, :samples, :evals, :gctrial, :gcsample),Tuple{Bool,Int64,Int64,Bool,Bool}}}) at C:\Users\jas\.julia\packages\BenchmarkTools\7aqwe\src\execution.jl:46
[16] #warmup#42 at C:\Users\jas\.julia\packages\BenchmarkTools\7aqwe\src\execution.jl:79 [inlined]
[17] warmup(::BenchmarkTools.Benchmark{Symbol("##benchmark#494")}) at C:\Users\jas\.julia\packages\BenchmarkTools\7aqwe\src\execution.jl:79
[18] top-level scope at C:\Users\jas\.julia\packages\BenchmarkTools\7aqwe\src\execution.jl:390
```
or Using Int128 results in
```
ERROR: error compiling myselfdotavx: Failed to parse LLVM Assembly:
julia: llvmcall:3:5: error: value doesn't match function result type '[2 x i128]'
ret <2 x i128> zeroinitializer
^
```

Start by reproducing the Float32-compatible and Int128 examples, then inspect the stack-trace entry points in vectorizable.jl, VectorizationBase.jl, and reconstruct_loopset.jl. Trace how numeric types reach llvmtype and the generated LLVM call; done means the reported types no longer produce a KeyError or LLVM parse error.

Rédigé par le modèle d'indexation à partir du texte de l'issue.