codecov[bot]
commented
1 year ago Codecov Report
All modified and coverable lines are covered by tests :white_check_mark:
Comparison is base (
1b059f2) 76.84% compared to head (5e98275) 76.92%.
Additional details and impacted files
```diff @@ Coverage Diff @@ ## dev #121 +/- ## ========================================== + Coverage 76.84% 76.92% +0.07% ========================================== Files 111 111 Lines 16342 16397 +55 Branches 3082 3088 +6 ========================================== + Hits 12558 12613 +55 Misses 3076 3076 Partials 708 708 ``` | [Flag](https://app.codecov.io/gh/jiangyi15/tf-pwa/pull/121/flags?src=pr&el=flags&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Jiang+Yi+%28%E8%92%8B%E8%89%BA%29) | Coverage Δ | | |---|---|---| | [unittests](https://app.codecov.io/gh/jiangyi15/tf-pwa/pull/121/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Jiang+Yi+%28%E8%92%8B%E8%89%BA%29) | `76.92% <100.00%> (+0.07%)` | :arrow_up: | Flags with carried forward coverage won't be shown. [Click here](https://docs.codecov.io/docs/carryforward-flags?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Jiang+Yi+%28%E8%92%8B%E8%89%BA%29#carryforward-flags-in-the-pull-request-comment) to find out more. | [Files](https://app.codecov.io/gh/jiangyi15/tf-pwa/pull/121?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Jiang+Yi+%28%E8%92%8B%E8%89%BA%29) | Coverage Δ | | |---|---|---| | [tf\_pwa/amp/interpolation.py](https://app.codecov.io/gh/jiangyi15/tf-pwa/pull/121?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Jiang+Yi+%28%E8%92%8B%E8%89%BA%29#diff-dGZfcHdhL2FtcC9pbnRlcnBvbGF0aW9uLnB5) | `57.75% <100.00%> (+6.38%)` | :arrow_up: |:umbrella: View full report in Codecov by Sentry.
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Shape-Preserving Piecewise Cubic Hermite Interpolation Polynomial. It is monotonic in each interval. TFPWA version of scipy.interpolate.pchip_interpolate.