codecov-commenter
commented
1 year ago Codecov Report
Base: 0.00% // Head: 12.26% // Increases project coverage by +12.26% :tada:
Coverage data is based on head (
03ff9c2) compared to base (b7172f4). Patch coverage: 96.00% of modified lines in pull request are covered.
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Additional details and impacted files
```diff @@ Coverage Diff @@ ## master #12 +/- ## =========================================== + Coverage 0.00% 12.26% +12.26% =========================================== Files 7 8 +1 Lines 350 375 +25 =========================================== + Hits 0 46 +46 + Misses 350 329 -21 ``` | [Impacted Files](https://codecov.io/gh/guanyilun/galilei/pull/12?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Yilun+Guan) | Coverage Δ | | |---|---|---| | [galilei/sampling.py](https://codecov.io/gh/guanyilun/galilei/pull/12?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Yilun+Guan#diff-Z2FsaWxlaS9zYW1wbGluZy5weQ==) | `96.00% <96.00%> (ø)` | | | [galilei/emulator.py](https://codecov.io/gh/guanyilun/galilei/pull/12?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Yilun+Guan#diff-Z2FsaWxlaS9lbXVsYXRvci5weQ==) | `14.87% <0.00%> (+14.87%)` | :arrow_up: | | [galilei/\_\_init\_\_.py](https://codecov.io/gh/guanyilun/galilei/pull/12?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Yilun+Guan#diff-Z2FsaWxlaS9fX2luaXRfXy5weQ==) | `100.00% <0.00%> (+100.00%)` | :arrow_up: | Help us with your feedback. Take ten seconds to tell us [how you rate us](https://about.codecov.io/nps?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Yilun+Guan). Have a feature suggestion? [Share it here.](https://app.codecov.io/gh/feedback/?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Yilun+Guan):umbrella: View full report at Codecov.
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add some utility methods to build samples using smarter sampling algorithms.