[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

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