Comments (4)
Vendoring libbson doesn't seem like a problem, especially since we can build manylinux wheels. The problem would appear to be numpy, which doesn't seem to define an ABI.
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Scipy provides wheels and depends on numpy's C/Fortran API. Do what they do.
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Tracked in https://jira.mongodb.org/browse/PYTHON-2379
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Closing this as we have discontinued development of BSON-NumPy. PyMongoArrow is now the recommended way to materialize MongoDB query results as NumPy ndarrays as well as tabular formats like Pandas' DataFrames and PyArrow Tables.
Wheels for PyMongoArrow are available on PyPI: https://pypi.org/project/pymongoarrow
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Related Issues (20)
- Define supported Python versions HOT 2
- Create and use a master branch HOT 1
- Clean up branches HOT 1
- Test in Evergreen HOT 3
- Add a THIRD-PARTY-NOTICES file
- Add standard MongoDB header to each source file
- Update setup.py metadata HOT 1
- Add pandas tutorial. HOT 1
- Provide a script to "clean" data HOT 1
- Add __version__
- Remove all Python 2 specific code HOT 1
- Speedup Travis builds using ccache HOT 1
- Memory leak HOT 2
- Pin pandas version and consider dropping Python 3.5 support HOT 4
- Seg faults for pulling flat arrays HOT 7
- Segfault when running benchmark HOT 4
- Use Python.h to make bson-config.h more portable
- ModuleNotFoundError: No module named 'bsonnumpy._cbsonnumpy' HOT 2
- Install fails with Python 3.6 because of Numpy 1.20 HOT 4
- dtype for a numpy array HOT 3
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