PyPSA / linopy

Linear optimization with N-D labeled arrays in Python
https://linopy.readthedocs.io
MIT License
155 stars 43 forks source link

[pre-commit.ci] pre-commit autoupdate #204

Closed pre-commit-ci[bot] closed 8 months ago

pre-commit-ci[bot] commented 8 months ago

updates:

codecov[bot] commented 8 months ago

Codecov Report

All modified and coverable lines are covered by tests :white_check_mark:

Comparison is base (e642a1f) 89.23% compared to head (639ad86) 88.15%.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## master #204 +/- ## ========================================== - Coverage 89.23% 88.15% -1.08% ========================================== Files 15 15 Lines 3343 3343 Branches 768 573 -195 ========================================== - Hits 2983 2947 -36 - Misses 248 284 +36 Partials 112 112 ``` [see 1 file with indirect coverage changes](https://app.codecov.io/gh/PyPSA/linopy/pull/204/indirect-changes?src=pr&el=tree-more&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=PyPSA)

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