Cpusummary 0.1.26

[codecov[bot]]

Codecov Report

Base: 86.17% // Head: 86.67% // Increases project coverage by +0.50% :tada:

Coverage data is based on head (304f39e) compared to base (76de17c). Patch coverage: 100.00% of modified lines in pull request are covered.

Additional details and impacted files

```diff @@ Coverage Diff @@ ## master #157 +/- ## ========================================== + Coverage 86.17% 86.67% +0.50% ========================================== Files 13 13 Lines 998 998 ========================================== + Hits 860 865 +5 + Misses 138 133 -5 ``` | [Impacted Files](https://codecov.io/gh/JuliaLinearAlgebra/Octavian.jl/pull/157?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaLinearAlgebra) | Coverage Δ | | |---|---|---| | [src/Octavian.jl](https://codecov.io/gh/JuliaLinearAlgebra/Octavian.jl/pull/157/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaLinearAlgebra#diff-c3JjL09jdGF2aWFuLmps) | `50.00% <ø> (ø)` | | | [src/global\_constants.jl](https://codecov.io/gh/JuliaLinearAlgebra/Octavian.jl/pull/157/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaLinearAlgebra#diff-c3JjL2dsb2JhbF9jb25zdGFudHMuamw=) | `12.00% <100.00%> (+6.00%)` | :arrow_up: | | [src/matmul.jl](https://codecov.io/gh/JuliaLinearAlgebra/Octavian.jl/pull/157/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaLinearAlgebra#diff-c3JjL21hdG11bC5qbA==) | `92.37% <0.00%> (+0.56%)` | :arrow_up: | Help us with your feedback. Take ten seconds to tell us [how you rate us](https://about.codecov.io/nps?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaLinearAlgebra). Have a feature suggestion? [Share it here.](https://app.codecov.io/gh/feedback/?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaLinearAlgebra)

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[chriselrod]

Multithreaded x86 is failing. Note it is failing on master as well: https://github.com/JuliaLinearAlgebra/Octavian.jl/runs/8240502733?check_suite_focus=true

[chriselrod]

Would anyone complain if we just abandon 32 bit support? @DilumAluthge

I'm not inclined to spend any of my free time maintaining it.

Either Octavian will not be compatible with recent versions of dependencies, or we drop 32 bit.

[DilumAluthge]

No complaints from me!