Yicong-Huang opened a new pull request, #54228:
URL: https://github.com/apache/spark/pull/54228

   ### What changes were proposed in this pull request?
   
   Compute float16 version overrides dynamically instead of hardcoding string 
values. PyArrow < 21 uses numpy's float16 formatting for `str(scalar)`, which 
varies across numpy versions (scientific notation in >= 2.4, decimal in < 2.4). 
This fixes CI failures on environments with numpy 1.26.
   
   ### Why are the changes needed?
   
   CI (Python 3.10, PyArrow 18, numpy 1.26) fails with:
   ```
   int16:max_min -> float16: expected '[3.277e+04, -3.277e+04, None]@float16', 
got '[32770.0, -32770.0, None]@float16'
   ```
   
   ### Does this PR introduce _any_ user-facing change?
   
   No.
   
   ### How was this patch tested?
   
   Tested locally across Python 3.10/3.11/3.12 with PyArrow 18 and 23.
   
   ### Was this patch authored or co-authored using generative AI tooling?
   
   No.


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