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b391239d - [JAX] Update JAX users in preparation for a change that makes iteration over a JAX array return JAX arrays, instead of NumPy arrays.

[JAX] Update JAX users in preparation for a change that makes iteration over a JAX array return JAX arrays, instead of NumPy arrays. See https://github.com/google/jax/pull/8043 for context as to why we are making this change. The upshot for most users is that the values returned by iteration over a JAX array are now themselves JAX arrays, with the semantics of JAX arrays, which sometimes differ from the semantics of NumPy scalars and arrays. In particular: * Unlike NumPy scalars 0-dimensional JAX arrays are not hashable. This change updates users to call `.tolist()` or `np.asarray(...)` when the output of iterating over a JAX array is hashed, used as a dictionary key, or passed to `set(...)`. In some instances, we can just call `numpy` functions instead of `jax.numpy` functions to build the array in the first place. * This change confuses Pandas and PIL when a JAX array is converted to a Pandas dataframe or a PIL image. For now, cast JAX arrays to a NumPy array first before passing them into those libraries. * We now need to use `numpy.testing.assert_array_equal` instead of `numpy.testing.assert_equal` to compare JAX arrays. PiperOrigin-RevId: 400221589