JuliaSmoothOptimizers / RipQP.jl

MIT License
29 stars 5 forks source link

CompatHelper: bump compat for SolverCore to 0.3, (keep existing compat) #230

Closed github-actions[bot] closed 2 years ago

github-actions[bot] commented 2 years ago

This pull request changes the compat entry for the SolverCore package from 0.2.3 to 0.2.3, 0.3. 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 2 years ago

Codecov Report

Base: 84.22% // Head: 84.46% // Increases project coverage by +0.24% :tada:

Coverage data is based on head (5e43a11) compared to base (afc94d8). Patch has no changes to coverable lines.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #230 +/- ## ========================================== + Coverage 84.22% 84.46% +0.24% ========================================== Files 47 47 Lines 3042 2942 -100 ========================================== - Hits 2562 2485 -77 + Misses 480 457 -23 ``` | [Impacted Files](https://codecov.io/gh/JuliaSmoothOptimizers/RipQP.jl/pull/230?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers) | Coverage Δ | | |---|---|---| | [...olvers/sparse\_fact\_utils/abstract-factorization.jl](https://codecov.io/gh/JuliaSmoothOptimizers/RipQP.jl/pull/230/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers#diff-c3JjL2l0ZXJhdGlvbnMvc29sdmVycy9zcGFyc2VfZmFjdF91dGlscy9hYnN0cmFjdC1mYWN0b3JpemF0aW9uLmps) | `42.85% <0.00%> (-4.97%)` | :arrow_down: | | [src/iterations/solvers/augmented/K2LDL.jl](https://codecov.io/gh/JuliaSmoothOptimizers/RipQP.jl/pull/230/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers#diff-c3JjL2l0ZXJhdGlvbnMvc29sdmVycy9hdWdtZW50ZWQvSzJMREwuamw=) | `73.55% <0.00%> (-1.11%)` | :arrow_down: | | [src/iterations/regularization.jl](https://codecov.io/gh/JuliaSmoothOptimizers/RipQP.jl/pull/230/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers#diff-c3JjL2l0ZXJhdGlvbnMvcmVndWxhcml6YXRpb24uamw=) | `47.82% <0.00%> (-0.75%)` | :arrow_down: | | [src/iterations/solvers/augmented/K2Structured.jl](https://codecov.io/gh/JuliaSmoothOptimizers/RipQP.jl/pull/230/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers#diff-c3JjL2l0ZXJhdGlvbnMvc29sdmVycy9hdWdtZW50ZWQvSzJTdHJ1Y3R1cmVkLmps) | `90.38% <0.00%> (-0.36%)` | :arrow_down: | | [src/iterations/solvers/augmented/K2LDLDense.jl](https://codecov.io/gh/JuliaSmoothOptimizers/RipQP.jl/pull/230/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers#diff-c3JjL2l0ZXJhdGlvbnMvc29sdmVycy9hdWdtZW50ZWQvSzJMRExEZW5zZS5qbA==) | `94.59% <0.00%> (-0.28%)` | :arrow_down: | | [src/iterations/solvers/normal/K1\_1Structured.jl](https://codecov.io/gh/JuliaSmoothOptimizers/RipQP.jl/pull/230/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers#diff-c3JjL2l0ZXJhdGlvbnMvc29sdmVycy9ub3JtYWwvSzFfMVN0cnVjdHVyZWQuamw=) | `92.98% <0.00%> (-0.13%)` | :arrow_down: | | [src/iterations/solvers/normal/K1\_2Structured.jl](https://codecov.io/gh/JuliaSmoothOptimizers/RipQP.jl/pull/230/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers#diff-c3JjL2l0ZXJhdGlvbnMvc29sdmVycy9ub3JtYWwvSzFfMlN0cnVjdHVyZWQuamw=) | `94.33% <0.00%> (-0.11%)` | :arrow_down: | | [src/iterations/solvers/Newton/K3\_5Structured.jl](https://codecov.io/gh/JuliaSmoothOptimizers/RipQP.jl/pull/230/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers#diff-c3JjL2l0ZXJhdGlvbnMvc29sdmVycy9OZXd0b24vSzNfNVN0cnVjdHVyZWQuamw=) | `90.42% <0.00%> (-0.11%)` | :arrow_down: | | [src/iterations/solvers/Newton/K3SStructured.jl](https://codecov.io/gh/JuliaSmoothOptimizers/RipQP.jl/pull/230/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers#diff-c3JjL2l0ZXJhdGlvbnMvc29sdmVycy9OZXd0b24vSzNTU3RydWN0dXJlZC5qbA==) | `90.52% <0.00%> (-0.10%)` | :arrow_down: | | [src/utils.jl](https://codecov.io/gh/JuliaSmoothOptimizers/RipQP.jl/pull/230/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers#diff-c3JjL3V0aWxzLmps) | `93.75% <0.00%> (-0.10%)` | :arrow_down: | | ... and [15 more](https://codecov.io/gh/JuliaSmoothOptimizers/RipQP.jl/pull/230/diff?src=pr&el=tree-more&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers) | | 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=JuliaSmoothOptimizers). 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=JuliaSmoothOptimizers)

:umbrella: View full report at Codecov.
:loudspeaker: Do you have feedback about the report comment? Let us know in this issue.