2a685ab209
fastparquet is a python implementation of the parquet format, aiming integrate into python-based big data work-flows. It is used implicitly by the projects Dask, Pandas and intake-parquet. We offer a high degree of support for the features of the parquet format, and very competitive performance, in a small install size and codebase.
30 lines
1.1 KiB
Makefile
30 lines
1.1 KiB
Makefile
PORTNAME= fastparquet
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PORTVERSION= 2023.2.0
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CATEGORIES= databases python
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MASTER_SITES= PYPI
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PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
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MAINTAINER= sunpoet@FreeBSD.org
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COMMENT= Python support for Parquet file format
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WWW= https://github.com/dask/fastparquet
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LICENSE= APACHE20
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LICENSE_FILE= ${WRKSRC}/LICENSE
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BUILD_DEPENDS= ${PYTHON_PKGNAMEPREFIX}numpy>=0,1:math/py-numpy@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}setuptools_scm>=1.5.4:devel/py-setuptools_scm@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}wheel>=0:devel/py-wheel@${PY_FLAVOR} \
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thrift:devel/thrift
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RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}cramjam>=2.3:archivers/py-cramjam@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}fsspec>=0:devel/py-fsspec@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}numpy>=1.20.3,1:math/py-numpy@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}packaging>=0:devel/py-packaging@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}pandas>=1.5.0,1:math/py-pandas@${PY_FLAVOR}
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USES= python:3.8+
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USE_PYTHON= autoplist concurrent cython distutils
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post-install:
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${FIND} ${STAGEDIR}${PYTHON_SITELIBDIR} -name '*.so' -exec ${STRIP_CMD} {} +
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.include <bsd.port.mk>
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