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It would be nice to split the dependencies of this package into the ones needed to use the package (numpy, numba, pandas, as far as I can tell) and the ones used only during development (linter, docs, etc.). At the moment, pip install paretoset in a fresh environment installs almost 100 packages total, while depending only on numpy, numba and pandas would reduce the number to about 10.
I'd be happy to open a PR, but not sure how you'd prefer to implement (and then maintain) it:
Split the requirements.txt and link them with "-r"
Separate(/duplicate) list of dependencies in pyproject.toml and requirements.txt
?
Thanks,
Christopher
The text was updated successfully, but these errors were encountered:
Hello @tommyod,
It would be nice to split the dependencies of this package into the ones needed to use the package (numpy, numba, pandas, as far as I can tell) and the ones used only during development (linter, docs, etc.). At the moment,
pip install paretoset
in a fresh environment installs almost 100 packages total, while depending only on numpy, numba and pandas would reduce the number to about 10.I'd be happy to open a PR, but not sure how you'd prefer to implement (and then maintain) it:
Thanks,
Christopher
The text was updated successfully, but these errors were encountered: