rami-lv opened a new issue, #39229:
URL: https://github.com/apache/arrow/issues/39229
### Describe the bug, including details regarding any error messages,
version, and platform.
I am unable to use `compute.binary_replace_slice` to transform a column in a
batch of a dataset.
Other functions with the same signature work just fine, for example
`binary_join`
To illustrate the bug
```py
import pyarrow as pa
import pyarrow.compute as pc
import pyarrow.dataset as ds
data = {
"id": ["id1", "id2"],
"video-formats": [["v11", "v12", "v12"], []],
}
table = pa.table(
{
"id": pa.array(data["id"]),
"video-formats": pa.array(data["video-formats"]),
}
)
dataset = ds.dataset(table)
for b in dataset.to_batches(batch_size=2):
for a in pc.binary_join(b["video-formats"], "#"): # this work
print(a)
dataset = ds.dataset(table)
for b in dataset.to_batches(batch_size=2):
for a in pc.binary_replace_slice(b["video-formats"], 0, 1, "#"): # this
does not work
print(a)
```
### Component(s)
Python
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