Porting to uv#443
Conversation
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Hey @EtienneT , Thanks for the initiative on this one! We've been using From what I recall the In any case: big thanks for this! |
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Glad I could help, it took 5 min to port to uv (thanks to uvx migrate-to-uv) and then I could use it in my own project by referencing my github fork directly simply by adding the github repo as a dependency using uv. |
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This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions. |
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Bump just to make sure this issues doesn't stay stale. |
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This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions. |
- Re-add kaleido (>=1.0) to dev dependencies; it was silently dropped during migrate-to-uv. Bump to 1.x for security fixes. - Bump plotly to >=6.1,<7 for kaleido 1.x API compatibility (plotly 5.x uses the deprecated kaleido scope API). - Restore lightgbm upper bound to <4.6 (migrate-to-uv widened it to <5). - Pin pandas<3 to avoid pandas 3.0's strict dtype coercion breaking hundreds of tests on Python 3.11+ CI. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
mean_absolute_error now returns a Python float rather than np.float64, which doesn't have .round(). Wrap with the builtin round() instead. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Two CBPE tests compared hardcoded floats with strict equality after rounding to 4 decimals. These drifted across sklearn/numpy/scipy versions (roc_auc and average_precision_score internals changed), producing 4th-5th decimal differences on Python 3.11+ CI. Switch to np.allclose / pd.testing.assert_frame_equal with atol=1e-4. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
The [testenv:build] recipe still called `poetry build` after the port. Replace with `uv build`. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
mypy 1.20 rejects ** unpacking on dict[str, Any] | None. Substitute an empty dict when the attribute is None. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
allowlist_externals only tells tox not to complain about unknown commands; it doesn't install them. Add `uv` to deps so `uv build` runs on CI (which doesn't have uv on PATH by default). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
CI on Python 3.11 (sklearn 1.8, numpy 2.4) produces roc_auc drifts of ~6e-4 against the hardcoded expectations — the previous 1e-4 tolerance wasn't enough. Relax to 1e-3. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
I am doing this pull request more as a suggestion, but I had difficulties adding nannyml in my own project because of various package problems in windows. I decided to run
uvx migrate-to-uvto port it from poetry to uv. Now everything works perfectly when I want to install it on my project (using my github fork for now). But uv is much faster than poetry and very pleasant to use.Just run
uv syncat the root of the repository and it should create a virtual environment in the folder .venv.I just had to comment out the dependency on jupyterlab, it had problems building y-py package which jupyterlab depends on. But if I comment out jupyterlab, everything still worked fine for me, but I am probably missing something.