let homogeneous tuples be alldense

[JeffreySarnoff]

This lets LoopVectorization work more broadly .. e.g. VectorizedStatistics can process NTuples, vminimum((1.0,2.0,0.5,1.5)) (currently it chokes).

[codecov]

Codecov Report

Base: 86.16% // Head: 86.15% // Decreases project coverage by -0.00% ⚠️

Coverage data is based on head (4d7904e) compared to base (e5189a8).
Patch coverage: 0.00% of modified lines in pull request are covered.

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #445      +/-   ##
==========================================
- Coverage   86.16%   86.15%   -0.01%     
==========================================
  Files          37       37              
  Lines        9376     9378       +2     
==========================================
+ Hits         8079     8080       +1     
- Misses       1297     1298       +1     

Impacted Files	Coverage Δ
src/simdfunctionals/map.jl	92.13% <0.00%> (-0.48%)	⬇️

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[JeffreySarnoff]

clearly I overlooked something structural -- closing this PR
will open an issue covering the same thing

[chriselrod]

clearly I overlooked something structural -- closing this PR will open an issue covering the same thing

What did you overlook? Is this not enough for the example vminimum to work?

[JeffreySarnoff]

It does make the v_ functions work -- what I overlooked is whatever is causing the test to fail here
https://github.com/JuliaSIMD/LoopVectorization.jl/actions/runs/3512452079/jobs/5884165315
If that is unrelated -- cool.

[chriselrod]

It does make the v_ functions work -- what I overlooked is whatever is causing the test to fail here https://github.com/JuliaSIMD/LoopVectorization.jl/actions/runs/3512452079/jobs/5884165315 If that is unrelated -- cool.

That is fixed by my suggestion above.

[chriselrod]

I went ahead and committed my suggestion; I'll merge if tests pass.