python -m pip install refy

[imran131399]

Collecting myterial (from refy==1.0.0.8) Using cached myterial-1.2.1-py3-none-any.whl (6.3 kB) Collecting rich (from refy==1.0.0.8) Using cached rich-13.6.0-py3-none-any.whl.metadata (18 kB) Collecting bibtexparser (from refy==1.0.0.8) Using cached bibtexparser-1.4.1.tar.gz (55 kB) Preparing metadata (setup.py) ... done Collecting xmltodict (from refy==1.0.0.8) Using cached xmltodict-0.13.0-py2.py3-none-any.whl (10.0 kB) Collecting sklearn (from refy==1.0.0.8) Using cached sklearn-0.0.post11.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 ...)

[jjerphan]

Thank you for the report.

This is a problem with FedeClaudi/refy which currently depends on sklearn instead of scikit-learn.

Feel free to report an issue on refy's issue tracker.

[Devilelal]

Already installed scikit-learn But still that problem

[imran131399]

Already installed scikit-learn But still that problem

[ogrisel]

@Devilelal and @imran131399: the problem is not about installing scikit-learn but about replacing the browned out sklearn alias dependency by the correct scikit-learn dependency in the metadata of the refy package.

It's up to the maintainers of the refy project to fix this problem. Please open an issue on their tracker if none was already opened.

[ogrisel]

I went ahead an created the PR myself: https://github.com/FedeClaudi/refy/pull/6