aiudirog commented on issue #45086:
URL: https://github.com/apache/arrow/issues/45086#issuecomment-2574426519

   While running some other benchmarks, I ended up reproducing the issue on my 
personal Linux PC with Python 3.13.1 and PyArrow 18.1:
   
   ```python
   import pandas as pd
   import numpy as np
   
   data = pd.Series(np.random.random(100000) > 0.5, dtype='bool[pyarrow]')
   data[0] = pd.NA
   data[50000] = pd.NA
   
   data.ffill()  # segfaults
   
   
   import pyarrow.compute as pc
   
   pc.fill_null_forward(data.values._pa_array)  # Also segfaults
   ```
   
   <details>
   <summary>System Info</summary>
   
   OS: Arch Linux
   Kernel: 6.12.8-zen1-1-zen
   Python: 3.13.1
   Installed Packages (venv):
   ```
   numpy==2.2.1
   pandas==2.2.3
   pyarrow==18.1.0
   python-dateutil==2.9.0.post0
   pytz==2024.2
   six==1.17.0
   tzdata==2024.2
   ```
   
   </details>
   
   Additionally, I was able to reproduce it on a RHEL8 server in the current 
Docker `python:3.12` image. On that same server, outside of the container, I 
was unable to reproduce the problem in the system Python 3.8 installation with 
PyArrow 14.0.1.


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