mesh_to_sdf
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New pypi release without sklearn
Hi,
the current version on pypi still requires sklearn, which now triggers an error (depending on the time):
Collecting sklearn
Downloading sklearn-0.0.post1.tar.gz (3.6 kB)
Preparing metadata (setup.py) ... error
error: subprocess-exited-with-error
× python setup.py egg_info did not run successfully.
│ exit code: 1
╰─> [18 lines of output]
The 'sklearn' PyPI package is deprecated, use 'scikit-learn'
rather than 'sklearn' for pip commands.
Here is how to fix this error in the main use cases:
- use 'pip install scikit-learn' rather than 'pip install sklearn'
- replace 'sklearn' by 'scikit-learn' in your pip requirements files
(requirements.txt, setup.py, setup.cfg, Pipfile, etc ...)
- if the 'sklearn' package is used by one of your dependencies,
it would be great if you take some time to track which package uses
'sklearn' instead of 'scikit-learn' and report it to their issue tracker
- as a last resort, set the environment variable
SKLEARN_ALLOW_DEPRECATED_SKLEARN_PACKAGE_INSTALL=True to avoid this error
More information is available at
https://github.com/scikit-learn/sklearn-pypi-package
If the previous advice does not cover your use case, feel free to report it at
https://github.com/scikit-learn/sklearn-pypi-package/issues/new
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed
I saw that the master branch already has this fixed. Would be nice to publish a new release, so that other packages can require this one without breaking the installation.
I agree! Ran into the same issue.
For now, try install from GitHub
pip install git+https://github.com/marian42/mesh_to_sdf.git
Yeah, that works, however, I believe for pypi packages you can't automatically install from other sources like GitHub.