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Move the manual to a github repo #525
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LilithHafner
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Oct 11, 2021
These haven't worked for ages.
dkarrasch
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May 8, 2024
Stdlib: SparseArrays URL: https://github.com/JuliaSparse/SparseArrays.jl.git Stdlib branch: main Julia branch: master Old commit: cb602d7 New commit: a09f90b Julia version: 1.12.0-DEV SparseArrays version: 1.12.0 Bump invoked by: @dkarrasch Powered by: [BumpStdlibs.jl](https://github.com/JuliaLang/BumpStdlibs.jl) Diff: JuliaSparse/SparseArrays.jl@cb602d7...a09f90b ``` $ git log --oneline cb602d7..a09f90b a09f90b Adjust matvec and matmatmul! to new internal LinAlg interface (#519) 3b30333 ci: run aqua test as a standalone ci job (#537) df0a154 Add versioned Manifest files to .gitignore (#534) 4606755 Extend `copytrito!` for a sparse source (#533) 33fbc75 SparseMatrixCSC constructor with a Tuple of Integers (#523) 08d6ae1 CI: don't run `threads` tests in Windows GHA CI (attempt 2) (#530) 7408e4b Revert "Don't fail CI if codecov upload fails." (#527) 287e406 Bump julia-actions/setup-julia from 1 to 2 (#524) b5de0da Don't fail CI if codecov upload fails. (#525) 78dde4c cast to Float64 directly instead of using float (#521) a5e95ec CI: Add Apple Silicon (macOS aarch64) to the CI matrix (#505) ``` Co-authored-by: Dilum Aluthge <dilum@aluthge.com>
xlxs4
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May 9, 2024
…aLang#54406) Stdlib: SparseArrays URL: https://github.com/JuliaSparse/SparseArrays.jl.git Stdlib branch: main Julia branch: master Old commit: cb602d7 New commit: a09f90b Julia version: 1.12.0-DEV SparseArrays version: 1.12.0 Bump invoked by: @dkarrasch Powered by: [BumpStdlibs.jl](https://github.com/JuliaLang/BumpStdlibs.jl) Diff: JuliaSparse/SparseArrays.jl@cb602d7...a09f90b ``` $ git log --oneline cb602d7..a09f90b a09f90b Adjust matvec and matmatmul! to new internal LinAlg interface (JuliaLang#519) 3b30333 ci: run aqua test as a standalone ci job (JuliaLang#537) df0a154 Add versioned Manifest files to .gitignore (JuliaLang#534) 4606755 Extend `copytrito!` for a sparse source (JuliaLang#533) 33fbc75 SparseMatrixCSC constructor with a Tuple of Integers (JuliaLang#523) 08d6ae1 CI: don't run `threads` tests in Windows GHA CI (attempt 2) (JuliaLang#530) 7408e4b Revert "Don't fail CI if codecov upload fails." (JuliaLang#527) 287e406 Bump julia-actions/setup-julia from 1 to 2 (JuliaLang#524) b5de0da Don't fail CI if codecov upload fails. (JuliaLang#525) 78dde4c cast to Float64 directly instead of using float (JuliaLang#521) a5e95ec CI: Add Apple Silicon (macOS aarch64) to the CI matrix (JuliaLang#505) ``` Co-authored-by: Dilum Aluthge <dilum@aluthge.com>
lazarusA
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Jul 12, 2024
…aLang#54406) Stdlib: SparseArrays URL: https://github.com/JuliaSparse/SparseArrays.jl.git Stdlib branch: main Julia branch: master Old commit: cb602d7 New commit: a09f90b Julia version: 1.12.0-DEV SparseArrays version: 1.12.0 Bump invoked by: @dkarrasch Powered by: [BumpStdlibs.jl](https://github.com/JuliaLang/BumpStdlibs.jl) Diff: JuliaSparse/SparseArrays.jl@cb602d7...a09f90b ``` $ git log --oneline cb602d7..a09f90b a09f90b Adjust matvec and matmatmul! to new internal LinAlg interface (JuliaLang#519) 3b30333 ci: run aqua test as a standalone ci job (JuliaLang#537) df0a154 Add versioned Manifest files to .gitignore (JuliaLang#534) 4606755 Extend `copytrito!` for a sparse source (JuliaLang#533) 33fbc75 SparseMatrixCSC constructor with a Tuple of Integers (JuliaLang#523) 08d6ae1 CI: don't run `threads` tests in Windows GHA CI (attempt 2) (JuliaLang#530) 7408e4b Revert "Don't fail CI if codecov upload fails." (JuliaLang#527) 287e406 Bump julia-actions/setup-julia from 1 to 2 (JuliaLang#524) b5de0da Don't fail CI if codecov upload fails. (JuliaLang#525) 78dde4c cast to Float64 directly instead of using float (JuliaLang#521) a5e95ec CI: Add Apple Silicon (macOS aarch64) to the CI matrix (JuliaLang#505) ``` Co-authored-by: Dilum Aluthge <dilum@aluthge.com>
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Can you move the Julia manual to a github repo, so we can help you out with fixes? The parallel computing page especially towards the bottom has strange formatting errors for functions: http://julialang.org/manual/parallel-computing/
Edit; nevermind, found it.
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