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Was messing around with some nested arrays and found a pretty easy to reproduce segfault:
Python 3.7.6 | packaged by conda-forge | (default, Jan 7 2020, 22:33:48) [GCC 7.3.0] on linux Type "help", "copyright", "credits" or "license" for more information. >>> import numpy as np, pyarrow as pa >>> pa.__version__ '0.16.0' >>> np.__version__ '1.18.1' >>> x=[np.array([b'a',b'b'])] >>> a = pa.array(x,pa.list_(pa.binary())) >>> a <pyarrow.lib.ListArray object at 0x7fd948b108a0> [ [ 61, 62 ] ] >>> a.cast(pa.string()) Segmentation fault
I don't know if that cast makes sense, but I left the checks on, so I would not expect a segfault from it.
Reporter: Daniel Nugent / @nugend Assignee: Krisztian Szucs / @kszucs
Note: This issue was originally created as ARROW-8070. Please see the migration documentation for further details.
The text was updated successfully, but these errors were encountered:
Wes McKinney / @wesm: Thanks. The code definitely should not segfault
Sorry, something went wrong.
Neal Richardson / @nealrichardson: @kszucs see also https://issues.apache.org/jira/browse/ARROW-8025
Wes McKinney / @wesm: Issue resolved by pull request 6738 #6738
kszucs
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Was messing around with some nested arrays and found a pretty easy to reproduce segfault:
I don't know if that cast makes sense, but I left the checks on, so I would not expect a segfault from it.
Reporter: Daniel Nugent / @nugend
Assignee: Krisztian Szucs / @kszucs
PRs and other links:
Note: This issue was originally created as ARROW-8070. Please see the migration documentation for further details.
The text was updated successfully, but these errors were encountered: