-
Notifications
You must be signed in to change notification settings - Fork 8
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Update numpy<2 pins and sync deps #144
Conversation
@jaimergp it looks like rc2 exposed other needed changes, see this Zulip message and subsequent ones (and napari/napari#6932 |
Thanks for the heads up @jni! I'll leave this on standby in the meantime. |
Hm, now we have #160, which suggests to pin |
scikit-image does not have python 3.9 release compatible with numpy 2, but have python 3.9 releases without upper bound for numpy. That lead to pip installing numpy 2.0 and some old scikit-image. |
Ah ok, I see, then we can repodata patch that in conda-forge, no probs! Edit: I checked and in conda-forge there are no scikit-image releases that are compatible with py39 and do not pin numpy<2, so I think we are safe. The only ones with unpinned numpy are really old which are only available for Python <=3.6 anyway. And here are the solver errors if you try
|
pyproject.toml
was updated (2024-05-16) #142pyproject.toml
was updated (2024-06-18) #152pyproject.toml
was updated (2024-06-20) #160