[jira] [Created] (ARROW-15928) [PYTHON] replace_with_mask seg faults when passed ChunkedArray

["Luke Manley (Jira)" <ji...@apache.org>]

Luke Manley created ARROW-15928:
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             Summary: [PYTHON] replace_with_mask seg faults when passed ChunkedArray
                 Key: ARROW-15928
                 URL: https://issues.apache.org/jira/browse/ARROW-15928
             Project: Apache Arrow
          Issue Type: Bug
          Components: Python
    Affects Versions: 7.0.0
            Reporter: Luke Manley


It looks like most compute functions that take an array-like can accept a ChunkedArray as well. One exception to that appears to be replace_with_mask which seems to seg fault when the array-like is a chunked array. Here is an example:
 
 
{code:java}
import pyarrow as pa 
import pyarrow.compute as pc 

ca = pa.chunked_array([[1, 2], [3, 4]]) 
mask = [False, True, False, True] 

# works (when we first combine chunks into a single array) 
a_new = pc.replace_with_mask(ca.combine_chunks(), mask, 0) 

# seg fault (if we try to pass the chunked array) 
ca_new = pc.replace_with_mask(ca, mask, 0){code}
 



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