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https://issues.apache.org/jira/browse/ARROW-18129?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joris Van den Bossche updated ARROW-18129:
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Summary: [Python] get_include() gives wrong directory in conda environment
(was: get_include() gives wrong directory)
> [Python] get_include() gives wrong directory in conda environment
> -----------------------------------------------------------------
>
> Key: ARROW-18129
> URL: https://issues.apache.org/jira/browse/ARROW-18129
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 9.0.0
> Environment: conda
> Reporter: Left Screen
> Priority: Critical
> Labels: triaged
>
> {{get_include}} seems to do:
>
> {code:java}
> def get_include():
> """
> Return absolute path to directory containing Arrow C++ include
> headers. Similar to numpy.get_include
> """
> return _os.path.join(_os.path.dirname(__file__), 'include') {code}
> This returns something like:
> {code:java}
> /path/to/myconda/envs/envname/lib/python3.8/site-packages/pyarrow/include{code}
> which does not exist in a conda environment. The path where the headers
> actually get installed is to:
>
> {code:java}
> $ echo $CONDA_PREFIX
> /path/to/myconda/envs/envname
> $ ls $CONDA_PREFIX/include/arrow | head
> adapters
> api.h
> array
> array.h
> buffer_builder.h
> buffer.h
> builder.h
> c
> chunked_array.h
> chunk_resolver.h
> {code}
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