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optimagic-dev / optimagic

optimagic is a Python package for numerical optimization. It is a unified interface to optimizers from SciPy, NlOpt and other packages. optimagic's minimize function works just like SciPy's, so you don't have to adjust your code. You simply get more optimizers for free. On top you get diagnostic tools, parallel numerical derivatives and more.
https://optimagic.readthedocs.io/
MIT License
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Put version numbers in strings #408

Closed timmens closed 2 years ago

codecov[bot] commented 2 years ago

Codecov Report

Merging #408 (3796f72) into main (79e8a0e) will decrease coverage by 0.01%. The diff coverage is n/a.

@@            Coverage Diff             @@
##             main     #408      +/-   ##
==========================================
- Coverage   92.88%   92.86%   -0.02%     
==========================================
  Files         223      223              
  Lines       17396    17436      +40     
==========================================
+ Hits        16158    16192      +34     
- Misses       1238     1244       +6
Impacted Files Coverage Δ
tests/test_decorators.py 90.47% <0.00%> (-3.18%) :arrow_down:
...imagic/optimization/internal_criterion_template.py 82.60% <0.00%> (-1.45%) :arrow_down:
src/estimagic/visualization/history_plots.py 85.40% <0.00%> (-0.63%) :arrow_down:
...magic/optimization/subsolvers/_trsbox_quadratic.py 84.95% <0.00%> (-0.41%) :arrow_down:
src/estimagic/optimization/algo_options.py 100.00% <0.00%> (ø)
src/estimagic/optimization/subsolvers/bntr.py 87.20% <0.00%> (ø)
...magic/optimization/subsolvers/linear_subsolvers.py 96.00% <0.00%> (+0.05%) :arrow_up:
src/estimagic/inference/ml_covs.py 84.14% <0.00%> (+0.19%) :arrow_up:
...c/estimagic/optimization/tranquilo/count_points.py 78.57% <0.00%> (+1.64%) :arrow_up:

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