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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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Mark tests broken on v1.6 as broken on v1.6 #603

Closed ChrisRackauckas closed 10 months ago

codecov[bot] commented 10 months ago

Codecov Report

Merging #603 (a7ef698) into master (eddf8c4) will decrease coverage by 0.67%. The diff coverage is n/a.

@@            Coverage Diff            @@
##           master    #603      +/-   ##
=========================================
- Coverage    9.46%   8.79%   -0.67%     
=========================================
  Files          40      40              
  Lines        2694    2694              
=========================================
- Hits          255     237      -18     
- Misses       2439    2457      +18

see 1 file with indirect coverage changes

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ChrisRackauckas commented 10 months ago

https://github.com/SciML/Optimization.jl/actions/runs/6422698374/job/17439738556#step:7:687 1.6 still didn't pass