SciML / LinearSolve.jl

LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.
https://docs.sciml.ai/LinearSolve/stable/
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CompatHelper: bump compat for CUDA to 4 for package LinearSolveCUDA, (keep existing compat) #267

Closed github-actions[bot] closed 1 year ago

github-actions[bot] commented 1 year ago

This pull request changes the compat entry for the CUDA package from 3 to 3, 4 for package LinearSolveCUDA. This keeps the compat entries for earlier versions.

Note: I have not tested your package with this new compat entry. It is your responsibility to make sure that your package tests pass before you merge this pull request.

codecov[bot] commented 1 year ago

Codecov Report

Merging #267 (55c5a61) into main (af09c4e) will increase coverage by 32.23%. The diff coverage is n/a.

@@             Coverage Diff             @@
##             main     #267       +/-   ##
===========================================
+ Coverage   38.51%   70.74%   +32.23%     
===========================================
  Files          13       14        +1     
  Lines         810      841       +31     
===========================================
+ Hits          312      595      +283     
+ Misses        498      246      -252     
Impacted Files Coverage Δ
src/HYPRE.jl 100.00% <0.00%> (ø)
lib/LinearSolvePardiso/src/LinearSolvePardiso.jl 75.00% <0.00%> (+2.08%) :arrow_up:
src/common.jl 89.83% <0.00%> (+5.34%) :arrow_up:
src/default.jl 50.64% <0.00%> (+14.28%) :arrow_up:
src/iterative_wrappers.jl 77.31% <0.00%> (+23.43%) :arrow_up:
src/LinearSolve.jl 100.00% <0.00%> (+25.00%) :arrow_up:
src/preconditioners.jl 86.66% <0.00%> (+26.66%) :arrow_up:
src/factorization.jl 83.54% <0.00%> (+50.36%) :arrow_up:
ext/LinearSolveHYPRE.jl 92.59% <0.00%> (+92.59%) :arrow_up:
src/factorization_sparse.jl 100.00% <0.00%> (+100.00%) :arrow_up:

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