Date: Sun, 2 Feb 2020 10:54:27 +0000 (UTC) From: Sunpoet Po-Chuan Hsieh <sunpoet@FreeBSD.org> To: ports-committers@freebsd.org, svn-ports-all@freebsd.org, svn-ports-head@freebsd.org Subject: svn commit: r524840 - in head/devel: . py-dask Message-ID: <202002021054.012AsRa4071945@repo.freebsd.org>
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Author: sunpoet Date: Sun Feb 2 10:54:26 2020 New Revision: 524840 URL: https://svnweb.freebsd.org/changeset/ports/524840 Log: Add py-dask 2.10.1 Dask is a flexible library for parallel computing in Python. Dask is composed of two parts: - Dynamic task scheduling optimized for computation. This is similar to Airflow, Luigi, Celery, or Make, but optimized for interactive computational workloads. - "Big Data" collections like parallel arrays, dataframes, and lists that extend common interfaces like NumPy, Pandas, or Python iterators to larger-than-memory or distributed environments. These parallel collections run on top of dynamic task schedulers. WWW: https://dask.org/ WWW: https://github.com/dask/dask Added: head/devel/py-dask/ head/devel/py-dask/Makefile (contents, props changed) head/devel/py-dask/distinfo (contents, props changed) head/devel/py-dask/pkg-descr (contents, props changed) Modified: head/devel/Makefile Modified: head/devel/Makefile ============================================================================== --- head/devel/Makefile Sun Feb 2 10:54:20 2020 (r524839) +++ head/devel/Makefile Sun Feb 2 10:54:26 2020 (r524840) @@ -4324,6 +4324,7 @@ SUBDIR += py-dal SUBDIR += py-darcsver SUBDIR += py-darts.util.lru + SUBDIR += py-dask SUBDIR += py-dataclasses SUBDIR += py-datatest SUBDIR += py-dateparser Added: head/devel/py-dask/Makefile ============================================================================== --- /dev/null 00:00:00 1970 (empty, because file is newly added) +++ head/devel/py-dask/Makefile Sun Feb 2 10:54:26 2020 (r524840) @@ -0,0 +1,23 @@ +# Created by: Po-Chuan Hsieh <sunpoet@FreeBSD.org> +# $FreeBSD$ + +PORTNAME= dask +PORTVERSION= 2.10.1 +CATEGORIES= devel python +MASTER_SITES= CHEESESHOP +PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX} + +MAINTAINER= sunpoet@FreeBSD.org +COMMENT= Parallel PyData with Task Scheduling + +LICENSE= BSD4CLAUSE +LICENSE_FILE= ${WRKSRC}/LICENSE.txt + +TEST_DEPENDS= ${PYTHON_PKGNAMEPREFIX}pytest>=0:devel/py-pytest@${PY_FLAVOR} + +USES= python:3.6+ +USE_PYTHON= autoplist distutils + +NO_ARCH= yes + +.include <bsd.port.mk> Added: head/devel/py-dask/distinfo ============================================================================== --- /dev/null 00:00:00 1970 (empty, because file is newly added) +++ head/devel/py-dask/distinfo Sun Feb 2 10:54:26 2020 (r524840) @@ -0,0 +1,3 @@ +TIMESTAMP = 1580562233 +SHA256 (dask-2.10.1.tar.gz) = b20d7dfb8f9f23de9c6c810e0e8b44c3cd83c49f52d26e6d6a0679ed2867de2b +SIZE (dask-2.10.1.tar.gz) = 2868430 Added: head/devel/py-dask/pkg-descr ============================================================================== --- /dev/null 00:00:00 1970 (empty, because file is newly added) +++ head/devel/py-dask/pkg-descr Sun Feb 2 10:54:26 2020 (r524840) @@ -0,0 +1,12 @@ +Dask is a flexible library for parallel computing in Python. + +Dask is composed of two parts: +- Dynamic task scheduling optimized for computation. This is similar to Airflow, + Luigi, Celery, or Make, but optimized for interactive computational workloads. +- "Big Data" collections like parallel arrays, dataframes, and lists that extend + common interfaces like NumPy, Pandas, or Python iterators to + larger-than-memory or distributed environments. These parallel collections run + on top of dynamic task schedulers. + +WWW: https://dask.org/ +WWW: https://github.com/dask/dask
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