Spenserrrr opened a new pull request, #58869:
URL: https://github.com/apache/spark/pull/58869
### What changes were proposed in this pull request?
This PR adds a NumPy-version override for the input-type cell in the
pandas.api.types object-predicate golden test.
### Why are the changes needed?
Spark's minimum dependency profile uses NumPy 1.23.2, where
`type(np.dtype("int64")).__name__` is `dtype[int64]` rather than `Int64DType`.
Without the override, the scheduled minimum-dependency build fails although the
predicate results are unchanged.
### Does this PR introduce _any_ user-facing change?
No.
### How was this patch tested?
The focused test passed with NumPy 1.23.2, 1.24.4, 1.25.0, and 2.4.1; the
scheduled minimum-dependency run demonstrates the failure without the override.
### Was this patch authored or co-authored using generative AI tooling?
Generated-by: Codex (GPT-5)
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