Backports for Julia 1.10.8 #56653
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Backports for Julia 1.10.8 #56653
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And a follow-up to that backport: #56666 |
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Backport of #55251 looks like it has a bad test: https://buildkite.com/julialang/julia-release-1-dot-10/builds/433#01935fa6-46db-4194-b0dc-27b410bd4db8/867-1134 |
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Looks like your branch is old. Says 1.10.6 |
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I think this branch was created before the commit to change the version to 1.10.7 was merged https://github.com/JuliaLang/julia/blob/39cfea14d5224138e980ab7a7a0c551325e249e8/VERSION |
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I pushed 96ad0a8 to do the same thing as described in #56741 (comment) |
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@KristofferC I'm not quite sure how to do the baked in stdlib, but @gbaraldi tried JuliaSparse/SparseArrays.jl#592 and it seemed to resolve ? |
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@nanosoldier |
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The package evaluation job you requested has completed - possible new issues were detected. Report summary❗ Packages that crashed4 packages crashed only on the current version.
206 packages crashed on the previous version too. ✖ Packages that failed25 packages failed only on the current version.
2402 packages failed on the previous version too. ✔ Packages that passed tests36 packages passed tests only on the current version.
6423 packages passed tests on the previous version too. ➖ Packages that were skipped altogether1082 packages were skipped on the previous version too. |
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The tests that are failing on macos were turned into skips in #53682 see #53682 (comment) so I backported that part here |
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Seeing Edit: Reproduces locally. |
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But also reproduces on 1.10.7, these are actually there in the PkgEval log as well, just that they get recorded as a test failure from later. Seems to work ok on master though. |
) The `(::Diagonal) + (::Symmetric)` and analogous methods were specialized in #35333 to return a `Symmetric`, but these only work if the `Diagonal` is also symmetric. This typically holds for arrays of numbers, but may not hold for block-diagonal and other types for which symmetry isn't guaranteed. This PR restricts the methods to arrays of `Number`s. Fixes, e.g.: ```julia julia> using StaticArrays, LinearAlgebra julia> D = Diagonal(fill(SMatrix{2,2}(1:4), 2)) 2×2 Diagonal{SMatrix{2, 2, Int64, 4}, Vector{SMatrix{2, 2, Int64, 4}}}: [1 3; 2 4] ⋅ ⋅ [1 3; 2 4] julia> S = Symmetric(D) 2×2 Symmetric{AbstractMatrix, Diagonal{SMatrix{2, 2, Int64, 4}, Vector{SMatrix{2, 2, Int64, 4}}}}: [1 3; 3 4] ⋅ ⋅ [1 3; 3 4] julia> S + D 2×2 Symmetric{AbstractMatrix, Diagonal{SMatrix{2, 2, Int64, 4}, Vector{SMatrix{2, 2, Int64, 4}}}}: [2 6; 6 8] ⋅ ⋅ [2 6; 6 8] julia> S[1,1] + D[1,1] 2×2 SMatrix{2, 2, Int64, 4} with indices SOneTo(2)×SOneTo(2): 2 6 5 8 julia> (S + D)[1,1] == S[1,1] + D[1,1] false ``` After this, ```julia julia> S + D 2×2 Matrix{AbstractMatrix{Int64}}: [2 6; 5 8] [0 0; 0 0] [0 0; 0 0] [2 6; 5 8] ``` Even with `Number`s as elements, there might be an issue with `NaN`s along the diagonal as `!issymmetric(NaN)`, but that may be a different PR. (cherry picked from commit 197295c)
(cherry picked from commit 346f38b)
This PR is a potential fix for #54833. ## Description The function https://github.com/JuliaLang/julia/blob/2a06376c18afd7ec875335070743dcebcd85dee7/stdlib/LinearAlgebra/src/triangular.jl#L2220 computes $\boldsymbol{A}^{\dfrac{1}{2^s}} - \boldsymbol{I}$ for a real-valued $2\times 2$ matrix $\boldsymbol{A}$ using Algorithm 5.1 in [R1]. However, the algorithm in [R1] as well as the above function do not handle the case $s=0.$ This fix extends the function to compute $\boldsymbol{A}^{\dfrac{1}{2^s}} - \boldsymbol{I} \Bigg|_{s=0} = \boldsymbol{A} - \boldsymbol{I}.$ ## Checklist - [X] Fix code: `stdlib\LinearAlgebra\src\triangular.jl` in function `_sqrt_pow_diag_block_2x2!(A, A0, s)`. - [X] Add test case: `stdlib\LinearAlgebra\test\triangular.jl`. - [X] Update `NEWS.md`. - [X] Testing and self review. | Tag | Reference | | --- | --- | | <nobr>[R1]</nobr> | Al-Mohy, Awad H. and Higham, Nicholas J. "Improved Inverse Scaling and Squaring Algorithms for the Matrix Logarithm", 2011, url: https://eprints.maths.manchester.ac.uk/1687/1/paper11.pdf | --------- Co-authored-by: Daniel Karrasch <daniel.karrasch@posteo.de> Co-authored-by: Oscar Smith <oscardssmith@gmail.com> (cherry picked from commit 2cdfe06)
…56666) It is possible for an extension `ExtAB` to be loadable by one of its triggers, e.g. if `A` loads `B`. However, this loading is not supposed to happen during pre-compilation of `A`. Getting this wrong means disagreeing with the scheduled pre-compile jobs (`A` is not scheduled to depend on or generate a cache file for `ExtAB` but accidentally attempts both) and leads to confusing errors about missing cache files. We used to cover up this bad behavior w/ an erroneous cycle warning (fixed by #55910), but now we need to be sure this works.
This pass was assuming that the post-dominator of all finalizer uses exists as a real BB in the CFG.
(cherry picked from commit 9118ea7)
…56842) Fix #56841. Currently the documentation states that keys(dict) and values(dict) iterate in the same order. But it is not stated whether this is the same order as that used by pairs(dict), or when looping, for (k,v) in dict. This PR makes this guarantee explicit. (cherry picked from commit 796d823)
#55886 accidentally created a new function `Base.MathConstants.rationalize` instead of extending `Base.rationalize`, which is the reason why `Base.rationalize(Int, π)` isn’t constant-folded in Julia 1.10 and 1.11: ``` julia> @Btime rationalize(Int,π); 1.837 ns (0 allocations: 0 bytes) # v1.9: constant-folded 88.416 μs (412 allocations: 15.00 KiB) # v1.10: not constant-folded ``` This PR fixes that. It should probably be backported to 1.10 and 1.11. (cherry picked from commit d3c26b7)
(cherry picked from commit 6e28217)
This is partial backport of #56105, only the part relative to parsing triplets.
…to 248d9f9 (#57005) Stdlib: SparseArrays URL: https://github.com/JuliaSparse/SparseArrays.jl.git Stdlib branch: release-1.10 Julia branch: backports-release-1.10 Old commit: 78035e1 New commit: 248d9f9 Julia version: 1.10.7 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@78035e1...248d9f9 ``` $ git log --oneline 78035e1..248d9f9 248d9f9 More adhereance to 1.10 error types (hopefully) (#592) ``` Co-authored-by: dkarrasch <26658441+dkarrasch@users.noreply.github.com>
…ea92b (#57014) Co-authored-by: IanButterworth <1694067+IanButterworth@users.noreply.github.com>
(cherry picked from commit cf4f1ba) Co-authored-by: Jameson Nash <vtjnash@gmail.com>
(cherry picked from commit 10e20f1)
KristofferC
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JuliaInterpreter failure is due to a check which is not a correct way to run on nightly. |
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Backported PRs:
Base.donotdelete#55773log_quasitriufor internal scalings=0#56311exp(weirdNaN)#56784UnionAllin the doc string ofwhere#56411float(a//b)#56772Base.rationalizeinstead of defining new functionBase.MathConstants.rationalize#56793Need manual backport:
Contains multiple commits, manual intervention needed:
@time_imports#55729find_all_in_cache_pathcall during parallel precompilation #56369structto hard #56755Non-merged PRs with backport label:
tmerge(Const(s), Const(t))st.(s !== t) && (s == t)#56915Meta.partially_inline!fixes #56813@ccallablename before JIT registration #55813displaysizeto theIOContextused by the REPL #55499isfile_casesensitivefixes on Windows #55220propertynamesfor SVD respects private argument #55169@inboundsandBase.@propagate_inbounds#50157