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SciML / Optimization.jl

Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.
https://docs.sciml.ai/Optimization/stable/
MIT License
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reapply formatter #708

Closed ArnoStrouwen closed 4 months ago

codecov[bot] commented 4 months ago

Codecov Report

Attention: Patch coverage is 0% with 28 lines in your changes are missing coverage. Please review.

Project coverage is 8.65%. Comparing base (5fc0378) to head (a65ef30). Report is 4 commits behind head on master.

Files Patch % Lines
ext/OptimizationSparseDiffExt.jl 0.00% 12 Missing :warning:
ext/OptimizationFiniteDiffExt.jl 0.00% 4 Missing :warning:
ext/OptimizationTrackerExt.jl 0.00% 4 Missing :warning:
...zationEvolutionary/src/OptimizationEvolutionary.jl 0.00% 2 Missing :warning:
lib/OptimizationGCMAES/src/OptimizationGCMAES.jl 0.00% 2 Missing :warning:
lib/OptimizationMOI/src/OptimizationMOI.jl 0.00% 2 Missing :warning:
ext/OptimizationMTKExt.jl 0.00% 1 Missing :warning:
...onMetaheuristics/src/OptimizationMetaheuristics.jl 0.00% 1 Missing :warning:
Additional details and impacted files ```diff @@ Coverage Diff @@ ## master #708 +/- ## ========================================= - Coverage 8.68% 8.65% -0.03% ========================================= Files 31 31 Lines 2500 2506 +6 ========================================= Hits 217 217 - Misses 2283 2289 +6 ```

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