TST: NumPy 1.x support

[crusaderky]

Out of scope: we need to start a conversation about how array-api-compat, array-api-extra, and scipy are going to support obsolete versions of backends other than NumPy.

[crusaderky]

In practice, this impacts only array-api-strict wrapping around numpy 1.x

[lucascolley]

Out of scope: we need to start a conversation about how array-api-compat, array-api-extra, and scipy are going to support obsolete versions of backends other than NumPy.

Yeah, I think we are still at a stage where we can require that only the latest versions work. But we'll get to this point eventually.

[lucascolley]

I linked the issue suggesting that we test with oldest SPEC 0 NumPy. Pros/cons of that vs. the approach of <2 here? Probably almost the same in practice.

[crusaderky]

I linked the issue suggesting that we test with oldest SPEC 0 NumPy. Pros/cons of that vs. the approach of <2 here? Probably almost the same in practice.

That makes sense. Now testing vs. 1.25.0.

[lucascolley]

thanks @crusaderky !

[lucascolley]

we should probably change the numpy1 env to test NumPy 1.22, as that is now the oldest supported by scikit-learn. Hopefully SPEC 0 will evolve to eventually converge with scikit-learn somehow, but there is no need to be more aggressive in the meantime.