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7a47c1050b
Modin is a drop-in replacement for pandas. While pandas is single-threaded, Modin lets you instantly speed up your workflows by scaling pandas so it uses all of your cores. Modin works especially well on larger datasets, where pandas becomes painfully slow or runs out of memory. Also, Modin comes with the additional APIs to improve user experience.
28 lines
950 B
Makefile
28 lines
950 B
Makefile
PORTNAME= modin
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PORTVERSION= 0.32.0
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CATEGORIES= math 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= Make your pandas code run faster
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WWW= https://modin.readthedocs.io/en/stable/ \
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https://github.com/modin-project/modin
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LICENSE= APACHE20
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LICENSE_FILE= ${WRKSRC}/LICENSE
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BUILD_DEPENDS= ${PYTHON_PKGNAMEPREFIX}setuptools>=0:devel/py-setuptools@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}wheel>=0:devel/py-wheel@${PY_FLAVOR}
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RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}fsspec>=2022.11.0:devel/py-fsspec@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}numpy>=1.22.4,1:math/py-numpy@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}packaging>=21.0:devel/py-packaging@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}pandas>=2,1<2.3,1:math/py-pandas@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}psutil>=5.8.0:sysutils/py-psutil@${PY_FLAVOR}
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USES= python
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USE_PYTHON= autoplist concurrent pep517
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NO_ARCH= yes
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.include <bsd.port.mk>
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