Yicong-Huang opened a new pull request, #53778:
URL: https://github.com/apache/spark/pull/53778

   ### What changes were proposed in this pull request?
   
   Add comprehensive tests for PyArrow's `pa.Array.cast()` method with default 
arguments (safe=True) to monitor upstream PyArrow behavior changes.
   
   **21 test methods** covering:
   - **All numeric types**: int8-64, uint8-64, float16/32/64, bool (all 
combinations)
   - **String/binary**: string, large_string, binary, large_binary
   - **Temporal**: date32/64, timestamp[s/ms/us/ns], duration, time
   - **Decimal**: decimal128/256
   - **Complex types**: list, large_list, fixed_size_list, struct, map
   - **Deeply nested**: list\<list\<T\>\>, struct\<a: struct\<b: T\>\>, 
list\<struct\<T\>\>, etc.
   - **NumPy/Pandas**: np.int8-64, pd.Int64Dtype(), pd.ArrowDtype()
   - **Edge cases**: NaN, Inf, null arrays, boundary values
   
   ### Why are the changes needed?
   
   Part of [SPARK-54936](https://issues.apache.org/jira/browse/SPARK-54936) to 
monitor upstream PyArrow behavior changes. Detects breaking changes when 
upgrading PyArrow versions.
   
   ### Does this PR introduce _any_ user-facing change?
   
   No. Tests only.
   
   ### How was this patch tested?
   
   New tests in 
`python/pyspark/tests/upstream/pyarrow/test_pyarrow_array_cast.py`
   
   ### Was this patch authored or co-authored using generative AI tooling?
   
   No.
   


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