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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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Load Symbolics as an extension package #584

Closed Vaibhavdixit02 closed 1 year ago

Vaibhavdixit02 commented 1 year ago

To avoid extension precompilation issues

codecov[bot] commented 1 year ago

Codecov Report

Merging #584 (9404c86) into master (d1d6548) will decrease coverage by 0.01%. The diff coverage is 0.00%.

@@            Coverage Diff             @@
##           master     #584      +/-   ##
==========================================
- Coverage   10.19%   10.19%   -0.01%     
==========================================
  Files          41       41              
  Lines        2451     2452       +1     
==========================================
  Hits          250      250              
- Misses       2201     2202       +1
Files Changed Coverage Δ
ext/OptimizationSparseFiniteDiffExt.jl 0.00% <ø> (ø)
ext/OptimizationSparseForwardDiffExt.jl 0.00% <ø> (ø)
src/Optimization.jl 32.25% <0.00%> (-1.08%) :arrow_down:

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