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https://issues.apache.org/jira/browse/ARROW-3137?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wes McKinney updated ARROW-3137:
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Component/s: Packaging
> [Python] pyarrow 0.10 requires newer version of numpy than specified in
> requirements
> ------------------------------------------------------------------------------------
>
> Key: ARROW-3137
> URL: https://issues.apache.org/jira/browse/ARROW-3137
> Project: Apache Arrow
> Issue Type: Bug
> Components: Packaging
> Affects Versions: 0.10.0
> Reporter: James Campbell
> Priority: Minor
> Labels: pull-request-available
> Time Spent: 10m
> Remaining Estimate: 0h
>
> pyarrow 0.10 appears to have a binary incompatibility with numpy versions
> prior to the 1.14.x series, but its requirements file claims support for
> numpy>=1.10.0
> If an older version of numpy is used, the following RuntimeError results:
> {{RuntimeError: module compiled against API version 0xc but this version of
> numpy is 0xb}}
> The following tox.ini file demonstrates the issue:
> {{[tox] envlist=py27-numpy\{10,11,13,14,15}-pyarrow\{9,10} [testenv] deps =
> numpy10: numpy>=1.10.0,<1.11 numpy11: numpy>=1.11.0,<1.12 numpy13:
> numpy>=1.13.0,<1.14 numpy14: numpy>=1.14.0,<1.15 numpy15: numpy>=1.15.0,<1.16
> pyarrow9: pyarrow==0.9.0 pyarrow10: pyarrow==0.10.0 pytest commands = pytest
> }}
> Using a simple test function like the following:
> {{def test_import_pyarrow(): import pyarrow }}
> pyarrow 0.9 doesn't appear to have this issue. Was there a change in the
> setup process for pyarrow 0.10 that no longer uses Cython to build?
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