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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fix: call `complete` on systems generated in MTKExt #690

Closed AayushSabharwal closed 5 months ago

AayushSabharwal commented 5 months ago

MTKv9 requires systems to be completed before creating XProblems

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codecov[bot] commented 5 months ago

Codecov Report

Attention: 2 lines in your changes are missing coverage. Please review.

Comparison is base (4693404) 8.78% compared to head (90ccc2a) 8.62%.

Files Patch % Lines
ext/OptimizationMTKExt.jl 0.00% 2 Missing :warning:
Additional details and impacted files ```diff @@ Coverage Diff @@ ## master #690 +/- ## ========================================= - Coverage 8.78% 8.62% -0.16% ========================================= Files 31 31 Lines 2515 2515 ========================================= - Hits 221 217 -4 - Misses 2294 2298 +4 ```

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