Add sparse compatibility layer.

[hameerabbasi]

This PR adds a compatibility layer for sparse.

[hameerabbasi]

Given that JAX also doesn't have CI and we already have CI for the Array API in sparse, I feel this is complete.

[asmeurer]

Can you update the docs. If you search for the places where JAX is mentioned you can also mention sparse there in the same way.

[asmeurer]

Also sparse can be added to the same the places where jax is tested in the tests.

[hameerabbasi]

Can you update the docs. If you search for the places where JAX is mentioned you can also mention sparse there in the same way.

Done in d3c6636

Also sparse can be added to the same the places where jax is tested in the tests.

Done in 855756d

[hameerabbasi]

CI seems to fail with:

E           ImportError: Numba needs NumPy 1.22 or greater. Got NumPy 1.21.

I don't see how we can get around this; Numba is one of the requirements of sparse. We also dropped 3.9 before adding Array API support.

Edit: Only testing sparse for Py310+. See 9c40867.

[hameerabbasi]

The PyTorch failures seem to be unrelated to this PR, from a quick glance.

[asmeurer]

This page should be updated too https://github.com/data-apis/array-api-compat/blob/main/docs/supported-array-libraries.md

[hameerabbasi]

This page should be updated too https://github.com/data-apis/array-api-compat/blob/main/docs/supported-array-libraries.md

Done in b77472d.

[asmeurer]

OK, this looks good. Let me know if you need this released soon. Otherwise, it might take a bit because I need to figure out what is going on with the PyTorch failures.