datalad / datalad-gooey

A graphical user interface for DataLad (datalad.org)
https://docs.datalad.org/projects/gooey
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UX: Use Python package name of dark theme dependency #167

Closed adswa closed 2 years ago

adswa commented 2 years ago

It tried out the dark theme, and wanted to follow the warnings advice of installing the 'missing qdarktheme installation'. However, pip install qdarktheme does not find a matching package, and I didn't find a different package manager that contained a package of this name. I suppose that the relevant Python package is called pyqtdarktheme, and I think its easier to find this out if the warning uses its package name

codecov-commenter commented 2 years ago

Codecov Report

Base: 61.13% // Head: 61.17% // Increases project coverage by +0.04% :tada:

Coverage data is based on head (991268a) compared to base (6bc1885). Patch coverage: 0.00% of modified lines in pull request are covered.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #167 +/- ## ========================================== + Coverage 61.13% 61.17% +0.04% ========================================== Files 32 32 Lines 1464 1463 -1 ========================================== Hits 895 895 + Misses 569 568 -1 ``` | [Impacted Files](https://codecov.io/gh/datalad/datalad-gooey/pull/167?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=datalad) | Coverage Δ | | |---|---|---| | [datalad\_gooey/app.py](https://codecov.io/gh/datalad/datalad-gooey/pull/167/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=datalad#diff-ZGF0YWxhZF9nb29leS9hcHAucHk=) | `26.35% <0.00%> (+0.17%)` | :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=datalad). 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=datalad)

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