Allow dependency numpy to be >= 2.0.0

[lorenzwalthert]

Describe the feature you'd like
In June 2024, numpy 2.0.0 was released. sagemaker-python-sdk depends on numpy>=1.9.0,<2.0. This creates a dependency hell for me, as I have dependencies in my python package that depend on numpy >= 2.0.0.

You could either enforce numpy >= 2.0.0 and make new releases of the package incompatible with numpy < 2.0.0 or keep supporting the currently supported numpy versions, but also add those >= 2.0.0. I.e. depending on whether or not there are breaking changes with numpy >= 2.0.0 in your code base, establish different code paths depending on the installed version of numpy.

How would this feature be used? Please describe.

Ensuring I can resolve dependencies in Python packages that have both this SDK as well as other dependencies with a requirement for numpy >= 2.0.

Describe alternatives you've considered

I don't think there is an alternative, as in the long run, this problem will get worse as more and more other packages depend on numpy >= 2.0.0. I am surprised no one has opened an issue for now.

Additional context
I am also opening a support case with AWS Premium Support.

[seberg]

Is there anything holding up removal of the pin? From a quick scan, I would think it is basically a few tiny replacements for things like np.NaN which ruff check path/to/code/ --select NPY201 --fix will just do.
There are a few uses np.int which might be fishy if (and only if!) this code ever runs on windows (otherwise, it may be fishy, but there is no change in NumPy 2).

[jakirkham]

@ellisonbg do you know who we should talk to about NumPy 2 support here?

[victoriarouton]

Any status on this when we could expect this support to be added?