Yicong-Huang opened a new pull request, #54188:
URL: https://github.com/apache/spark/pull/54188

   ### What changes were proposed in this pull request?
   
   Rewrite `test_pyarrow_array_cast.py` (~9000 lines) into ~500 lines using 
`GoldenFileTestMixin` with golden CSV/MD files. Each source type is split into 
isolated test cases (e.g. `int8:standard`, `int8:negative`, `int8:max_min`) to 
prevent edge cases from masking each other.
   
   Also enhanced `GoldenFileTestMixin`:
   - `repr_type()`: Arrow DataType support (normalises float names)
   - `setup_timezone()`: works without Spark session
   - `compare_or_generate_golden_matrix()`: new reusable matrix comparison 
method
   
   ### Why are the changes needed?
   
   To simplify testing.
   
   ### Does this PR introduce _any_ user-facing change?
   
   No.
   
   ### How was this patch tested?
   
   `python -m pytest 
python/pyspark/tests/upstream/pyarrow/test_pyarrow_array_cast.py` passes in 
both generation and comparison modes.
   
   ### Was this patch authored or co-authored using generative AI tooling?
   
   No.


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