iiasa / ixmp

The ix modeling platform for integrated and cross-cutting scenario analysis
https://docs.messageix.org/ixmp
Apache License 2.0
36 stars 110 forks source link

Housekeeping for 2024-W13 #524

Closed khaeru closed 3 months ago

khaeru commented 3 months ago

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codecov[bot] commented 3 months ago

Codecov Report

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

Project coverage is 98.9%. Comparing base (d202e01) to head (0390fac).

Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #524 +/- ## ===================================== Coverage 98.9% 98.9% ===================================== Files 44 44 Lines 4795 4804 +9 ===================================== + Hits 4743 4754 +11 + Misses 52 50 -2 ``` | [Files](https://app.codecov.io/gh/iiasa/ixmp/pull/524?dropdown=coverage&src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=iiasa) | Coverage Δ | | |---|---|---| | [ixmp/backend/\_\_init\_\_.py](https://app.codecov.io/gh/iiasa/ixmp/pull/524?src=pr&el=tree&filepath=ixmp%2Fbackend%2F__init__.py&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=iiasa#diff-aXhtcC9iYWNrZW5kL19faW5pdF9fLnB5) | `100.0% <ø> (ø)` | | | [ixmp/backend/io.py](https://app.codecov.io/gh/iiasa/ixmp/pull/524?src=pr&el=tree&filepath=ixmp%2Fbackend%2Fio.py&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=iiasa#diff-aXhtcC9iYWNrZW5kL2lvLnB5) | `98.5% <100.0%> (ø)` | | | [ixmp/backend/jdbc.py](https://app.codecov.io/gh/iiasa/ixmp/pull/524?src=pr&el=tree&filepath=ixmp%2Fbackend%2Fjdbc.py&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=iiasa#diff-aXhtcC9iYWNrZW5kL2pkYmMucHk=) | `97.4% <ø> (ø)` | | | [ixmp/core/platform.py](https://app.codecov.io/gh/iiasa/ixmp/pull/524?src=pr&el=tree&filepath=ixmp%2Fcore%2Fplatform.py&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=iiasa#diff-aXhtcC9jb3JlL3BsYXRmb3JtLnB5) | `98.9% <ø> (ø)` | | | [ixmp/core/scenario.py](https://app.codecov.io/gh/iiasa/ixmp/pull/524?src=pr&el=tree&filepath=ixmp%2Fcore%2Fscenario.py&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=iiasa#diff-aXhtcC9jb3JlL3NjZW5hcmlvLnB5) | `99.6% <100.0%> (+0.8%)` | :arrow_up: | | [ixmp/core/timeseries.py](https://app.codecov.io/gh/iiasa/ixmp/pull/524?src=pr&el=tree&filepath=ixmp%2Fcore%2Ftimeseries.py&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=iiasa#diff-aXhtcC9jb3JlL3RpbWVzZXJpZXMucHk=) | `98.6% <100.0%> (-0.1%)` | :arrow_down: | | [ixmp/report/operator.py](https://app.codecov.io/gh/iiasa/ixmp/pull/524?src=pr&el=tree&filepath=ixmp%2Freport%2Foperator.py&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=iiasa#diff-aXhtcC9yZXBvcnQvb3BlcmF0b3IucHk=) | `99.0% <100.0%> (ø)` | | | [ixmp/testing/\_\_init\_\_.py](https://app.codecov.io/gh/iiasa/ixmp/pull/524?src=pr&el=tree&filepath=ixmp%2Ftesting%2F__init__.py&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=iiasa#diff-aXhtcC90ZXN0aW5nL19faW5pdF9fLnB5) | `95.9% <ø> (ø)` | | | [ixmp/testing/data.py](https://app.codecov.io/gh/iiasa/ixmp/pull/524?src=pr&el=tree&filepath=ixmp%2Ftesting%2Fdata.py&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=iiasa#diff-aXhtcC90ZXN0aW5nL2RhdGEucHk=) | `97.2% <100.0%> (-0.1%)` | :arrow_down: | | [ixmp/testing/jupyter.py](https://app.codecov.io/gh/iiasa/ixmp/pull/524?src=pr&el=tree&filepath=ixmp%2Ftesting%2Fjupyter.py&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=iiasa#diff-aXhtcC90ZXN0aW5nL2p1cHl0ZXIucHk=) | `100.0% <ø> (ø)` | | | ... and [10 more](https://app.codecov.io/gh/iiasa/ixmp/pull/524?src=pr&el=tree-more&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=iiasa) | |
khaeru commented 3 months ago

Hm, not great that the Jupyter-based tests are consistently failing here…