Closed
Description
To support NumPy 2.0, we should
-
Add CI to test 2.0 nightlies. We can use
python -m pip install --pre --upgrade --extra-index https://pypi.anaconda.org/scientific-python-nightly-wheels/simple numpy
. -
Decide if we want to support just NumPy 2.0 or both NumPy 2.0 and NumPy 1.26.
-
If we decide to support both, we should check if any of the wrappers here will break with 2.0 having fixed the underlying behavior. Otherwise, I don't think it's that important to wrap conditionally, unless there is a good reason to remove the wrapper when it isn't needed for performance.
-
If we aren't supporting both we can remove a good number of wrappers.
Personally I think we should support both, at least for the time being.
Metadata
Metadata
Assignees
Labels
No labels