adamreeve opened a new issue, #42170:
URL: https://github.com/apache/arrow/issues/42170
### Describe the bug, including details regarding any error messages,
version, and platform.
Numpy 2.0.0 changed how float16 values are represented, which is causing the
"AMD64 Conda Python 3.9 Sphinx & Numpydoc" tests to start failing with:
```
________________________ [doctest] pyarrow.lib.float16
_________________________
4183
4184 >>> arr = np.array([1.5, np.nan], dtype=np.float16)
4185 >>> a = pa.array(arr, type=pa.float16())
4186 >>> a
4187 <pyarrow.lib.HalfFloatArray object at ...>
4188 [
4189 15872,
4190 32256
4191 ]
4192 >>> a.to_pylist()
Expected:
[1.5, nan]
Got:
[np.float16(1.5), np.float16(nan)]
```
(see
https://github.com/adamreeve/arrow/actions/runs/9540117455/job/26291400384 for
full build logs from my fork)
### Component(s)
Continuous Integration, Python
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