JuliaSmoothOptimizers / ADNLPModels.jl

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Increase coverage by removing out-of-place gradient function #118

Closed tmigot closed 1 year ago

github-actions[bot] commented 1 year ago
Package name latest stable
CaNNOLeS.jl
DCISolver.jl
DerivativeFreeSolvers.jl
JSOSolvers.jl
NLPModelsIpopt.jl
OptimizationProblems.jl
Percival.jl
QuadraticModels.jl
SolverBenchmark.jl
SolverTools.jl
codecov[bot] commented 1 year ago

Codecov Report

Patch coverage has no change and project coverage change: +0.19 :tada:

Comparison is base (3ba0917) 98.40% compared to head (cb2f406) 98.60%.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #118 +/- ## ========================================== + Coverage 98.40% 98.60% +0.19% ========================================== Files 8 8 Lines 1004 1002 -2 ========================================== Hits 988 988 + Misses 16 14 -2 ``` | [Impacted Files](https://codecov.io/gh/JuliaSmoothOptimizers/ADNLPModels.jl/pull/118?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers) | Coverage Δ | | |---|---|---| | [src/forward.jl](https://codecov.io/gh/JuliaSmoothOptimizers/ADNLPModels.jl/pull/118?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers#diff-c3JjL2ZvcndhcmQuamw=) | `100.00% <ø> (+2.27%)` | :arrow_up: | | [src/reverse.jl](https://codecov.io/gh/JuliaSmoothOptimizers/ADNLPModels.jl/pull/118?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaSmoothOptimizers#diff-c3JjL3JldmVyc2Uuamw=) | `100.00% <ø> (+2.50%)` | :arrow_up: | 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)

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