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π€ [master] Bump the SparseArrays stdlib from b4b0e72 to 99c99b4 (#50634)
Stdlib: SparseArrays URL: https://github.com/JuliaSparse/SparseArrays.jl.git Stdlib branch: main Julia branch: master Old commit: b4b0e72 New commit: 99c99b4 Julia version: 1.11.0-DEV SparseArrays version: 1.10.0 (Does not match) Bump invoked by: @dkarrasch Powered by: [BumpStdlibs.jl](https://github.com/JuliaLang/BumpStdlibs.jl) Diff: JuliaSparse/SparseArrays.jl@b4b0e72...99c99b4 ``` $ git log --oneline b4b0e72..99c99b4 99c99b4 Specialize 3-arg `dot` for sparse self-adjoint matrices (#398) cb10c1e use unwrapping mechanism for triangular matrices (#396) b3872c8 added warning for iterating while mutating a sparse matrix (#415) f8f0f40 bring coverage of fixed SparseMatrixCSC to 100% (#392) 0eb9c04 fix typos (#414) ``` Co-authored-by: Dilum Aluthge <dilum@aluthge.com>
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Executing the daily package evaluation, I will reply here when finished:
@nanosoldier
runtests(isdaily = true)
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The package evaluation job you requested has completed - possible new issues were detected.
The full report is available.
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@nanosoldier
runbenchmarks(ALL, isdaily = true)
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Your benchmark job has completed - possible performance regressions were detected. A full report can be found here.
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Good for sparse, not for string?
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@nanosoldier
runbenchmarks("string" && "join", vs="@0f56da8988366dd60e170932eefca4adb890acff")
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Your benchmark job has completed - no performance regressions were detected. A full report can be found here.
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@nanosoldier
runbenchmarks("string", vs="@0f56da8988366dd60e170932eefca4adb890acff")
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Your benchmark job has completed - no performance regressions were detected. A full report can be found here.