[DEPENDABOT]: Bump array-api-compat from 1.7.1 to 1.9

[dependabot]

Bumps array-api-compat from 1.7.1 to 1.9.

Changelog

Sourced from array-api-compat's changelog.

1.9 (2024-10-??)

Major Changes

• New helper functions to determine if a namespace is from a given library ({func}~.is_numpy_namespace, {func}~.is_torch_namespace, etc.).

• More support for the 2023.12 version of the standard. This includes

  • Wrappers for cumulative_sum().
  • Wrappers for unstack().
  • Update floating-point type promotion in sum(), prod(), and trace() to be inline with the 2023.12 specification (32-bit types no longer promote to 64-bit when dtype=None).
  • Add the inspection APIs to the wrapped namespaces. These can be accessed with xp.__array_namespace_info__().
  • Various fixes to the clip() wrappers.

• torch.conj now wrapps torch.conj_physical, which makes a copy rather than setting the conjugation bit, as arrays with the conjugation bit set do not support some APIs.

• torch.sign is now wrapped to support complex numbers and propogate nans properly.

Minor Changes

• NumPy 2.0 is now wrapped again. Previously it was unwrapped because it has full 2022.12 array API support but it now requires wrapping again for 2023.12 support.

• Support for JAX 0.4.32 and newer which implements the array API directly in jax.numpy.

• hypot, minimum, and maximum (new in 2023.12) are wrapped in PyTorch to support proper scalar type promotion.

1.8 (2024-07-24)

Major Changes

• Add support for ndonnx. Array API support itself lives in the ndonnx library, but this adds the {func}~.is_ndonnx_array helper function. (@​adityagoel4512).

• Partial support for the [2023.12 version of the

... (truncated)

Commits

• 0e86d92 Bump version to 1.9
• 5e1459d xfail test_repeat for numpy
• 56c43e7 Update CuPy xfails
• 381706e Set ARRAY_API_TESTS_VERSION for test_cupy.sh
• d84cdf5 Add changelog entries for a 1.9 release
• b30a59e Merge pull request #166 from asmeurer/more-2023
• 9d2e283 Add dlpack xfails to numpy-dev
• ef7ad7a Add maximum and minimum torch wrappers (for fixed two-arg type promotion)
• 198d6d7 Update numpy dev xfails
• 470e41a Update torch xfails
• Additional commits viewable in compare view

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

---

Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

• @dependabot rebase will rebase this PR
• @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
• @dependabot merge will merge this PR after your CI passes on it
• @dependabot squash and merge will squash and merge this PR after your CI passes on it
• @dependabot cancel merge will cancel a previously requested merge and block automerging
• @dependabot reopen will reopen this PR if it is closed
• @dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually
• @dependabot show <dependency name> ignore conditions will show all of the ignore conditions of the specified dependency
• @dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
• @dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
• @dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)

[dependabot]

Superseded by #295.