The newest numpy release in June breaks our usage of "vectorize"
tmol/tests/score/hbond/potentials/test_potentials.py:8: in <module>
from tmol.utility.args import _signature
tmol/utility/args.py:81: in <module>
@_signature.register(numpy.lib.function_base.vectorize)
../micromamba/lib/python3.11/site-packages/numpy/lib/__init__.py:77: in __getattr__
raise AttributeError(
E AttributeError: numpy.lib.function_base is now private. If you are using a public function, it should be available in the main numpy namespace, otherwise check the NumPy 2.0 migration guide.
The newest numpy release in June breaks our usage of "vectorize"