aiudirog opened a new issue, #45086:
URL: https://github.com/apache/arrow/issues/45086
### Describe the bug, including details regarding any error messages,
version, and platform.
I've encountered a consistent segfault when trying to use Pandas `.ffill()`
with a boolean ChunkedArray on Windows (no problems on Linux):
```python
import pandas as pd
import pyarrow as pa
print("Pandas:", pd.__version__)
print("PyArrow:", pa.__version__)
for i in range(1, 32):
mx = 2 ** i
print(i, mx)
x = pd.Series(pd.NA, index=range(mx), dtype='boolean[pyarrow]')
x[mx // 2] = True
x.ffill()
```
This always crashes on the 12th iteration, when the array has 4096 values,
across multiple computers.
I dug under the hood to see what Pandas was doing and was able to create
this pure PyArrow example (though I'm not sure if I'm using the API correctly):
```python
import pyarrow as pa
import pyarrow.compute as pc
pad = [None] * 4000
a = pa.chunked_array([pad, [True], pad], type=pa.bool_())
pc.fill_null_forward(a)
```
Additionally, I also tried to reproduce this with just `pa.array()` but that
worked fine.
-----------------------
Operating System: Windows 10 (10.0.19045 Build 19045)
Processor: Intel Core i7-12850HX
Python Version: 3.12.7 (additionally confirmed by co-workers on 3.11 & 3.10)
PyArrow Versions Tested: 16.1, 17.0, 18.0, 18.1
### Component(s)
Python
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