traja-team / traja

Python tools for spatial trajectory and time-series data analysis
https://traja.readthedocs.io
MIT License
98 stars 25 forks source link

Bump Numpy version and fix complex type #102

Closed WolfByttner closed 4 months ago

codecov[bot] commented 6 months ago

Codecov Report

Attention: Patch coverage is 77.19298% with 13 lines in your changes are missing coverage. Please review.

Project coverage is 76.51%. Comparing base (d4c5ff3) to head (0571684).

Additional details and impacted files [![Impacted file tree graph](https://app.codecov.io/gh/traja-team/traja/pull/102/graphs/tree.svg?width=650&height=150&src=pr&token=ic24rV5uZE&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=traja-team)](https://app.codecov.io/gh/traja-team/traja/pull/102?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=traja-team) ```diff @@ Coverage Diff @@ ## master #102 +/- ## ========================================== + Coverage 76.14% 76.51% +0.37% ========================================== Files 25 26 +1 Lines 2691 2670 -21 ========================================== - Hits 2049 2043 -6 + Misses 642 627 -15 ``` | [Flag](https://app.codecov.io/gh/traja-team/traja/pull/102/flags?src=pr&el=flags&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=traja-team) | Coverage Δ | | |---|---|---| | [unittests](https://app.codecov.io/gh/traja-team/traja/pull/102/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=traja-team) | `76.51% <77.19%> (+0.37%)` | :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=traja-team#carryforward-flags-in-the-pull-request-comment) to find out more. | [Files](https://app.codecov.io/gh/traja-team/traja/pull/102?dropdown=coverage&src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=traja-team) | Coverage Δ | | |---|---|---| | [traja/\_\_init\_\_.py](https://app.codecov.io/gh/traja-team/traja/pull/102?src=pr&el=tree&filepath=traja%2F__init__.py&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=traja-team#diff-dHJhamEvX19pbml0X18ucHk=) | `91.66% <100.00%> (ø)` | | | [traja/core.py](https://app.codecov.io/gh/traja-team/traja/pull/102?src=pr&el=tree&filepath=traja%2Fcore.py&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=traja-team#diff-dHJhamEvY29yZS5weQ==) | `100.00% <100.00%> (ø)` | | | [traja/dataset/\_\_init\_\_.py](https://app.codecov.io/gh/traja-team/traja/pull/102?src=pr&el=tree&filepath=traja%2Fdataset%2F__init__.py&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=traja-team#diff-dHJhamEvZGF0YXNldC9fX2luaXRfXy5weQ==) | `100.00% <100.00%> (ø)` | | | [traja/dataset/dataset.py](https://app.codecov.io/gh/traja-team/traja/pull/102?src=pr&el=tree&filepath=traja%2Fdataset%2Fdataset.py&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=traja-team#diff-dHJhamEvZGF0YXNldC9kYXRhc2V0LnB5) | `100.00% <ø> (+1.57%)` | :arrow_up: | | [traja/dataset/example.py](https://app.codecov.io/gh/traja-team/traja/pull/102?src=pr&el=tree&filepath=traja%2Fdataset%2Fexample.py&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=traja-team#diff-dHJhamEvZGF0YXNldC9leGFtcGxlLnB5) | `100.00% <100.00%> (ø)` | | | [traja/dataset/pedestrian.py](https://app.codecov.io/gh/traja-team/traja/pull/102?src=pr&el=tree&filepath=traja%2Fdataset%2Fpedestrian.py&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=traja-team#diff-dHJhamEvZGF0YXNldC9wZWRlc3RyaWFuLnB5) | `90.32% <100.00%> (+60.32%)` | :arrow_up: | | [traja/frame.py](https://app.codecov.io/gh/traja-team/traja/pull/102?src=pr&el=tree&filepath=traja%2Fframe.py&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=traja-team#diff-dHJhamEvZnJhbWUucHk=) | `83.82% <100.00%> (-0.63%)` | :arrow_down: | | [traja/models/\_\_init\_\_.py](https://app.codecov.io/gh/traja-team/traja/pull/102?src=pr&el=tree&filepath=traja%2Fmodels%2F__init__.py&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=traja-team#diff-dHJhamEvbW9kZWxzL19faW5pdF9fLnB5) | `100.00% <100.00%> (ø)` | | | [traja/models/inference.py](https://app.codecov.io/gh/traja-team/traja/pull/102?src=pr&el=tree&filepath=traja%2Fmodels%2Finference.py&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=traja-team#diff-dHJhamEvbW9kZWxzL2luZmVyZW5jZS5weQ==) | `31.42% <ø> (ø)` | | | [traja/models/losses.py](https://app.codecov.io/gh/traja-team/traja/pull/102?src=pr&el=tree&filepath=traja%2Fmodels%2Flosses.py&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=traja-team#diff-dHJhamEvbW9kZWxzL2xvc3Nlcy5weQ==) | `96.42% <100.00%> (ø)` | | | ... and [8 more](https://app.codecov.io/gh/traja-team/traja/pull/102?src=pr&el=tree-more&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=traja-team) | | ------ [Continue to review full report in Codecov by Sentry](https://app.codecov.io/gh/traja-team/traja/pull/102?dropdown=coverage&src=pr&el=continue&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=traja-team). > **Legend** - [Click here to learn more](https://docs.codecov.io/docs/codecov-delta?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=traja-team) > `Δ = absolute (impact)`, `ø = not affected`, `? = missing data` > Powered by [Codecov](https://app.codecov.io/gh/traja-team/traja/pull/102?dropdown=coverage&src=pr&el=footer&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=traja-team). 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