dev-python/dask: initial import

Package-Manager: portage-2.2.28

dev-python/dask/Manifest

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+DIST dask-0.8.1.tar.gz 292047 SHA256 43deb1934cd033668e5e60b735f45c9c3ee2813f87bd51c243f975e55267fa43 SHA512 b75fca59ecf285bae2fe82cb635fbcb78e9eb1389dc764c36e20c2278b12ec41363f463adfeff33891cf0eaf9a03ef1586b90ea5189c03d955bc670ac416660b WHIRLPOOL 63bdfef96af56e82b72759c60546b9cc72fd67ec94ddff226d34ce8612e2c603729aaf2b31823971001701b01317c96ddf74a539ebab3cdc02a7e554ff8e8f37

dev-python/dask/dask-0.8.1.ebuild

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+# Copyright 1999-2016 Gentoo Foundation
+# Distributed under the terms of the GNU General Public License v2
+# $Id$
+
+EAPI=6
+
+PYTHON_COMPAT=( python2_7 python3_{4,5} )
+
+inherit distutils-r1
+
+DESCRIPTION="Task scheduling and blocked algorithms for parallel processing"
+HOMEPAGE="http://dask.pydata.org/"
+SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P}.tar.gz"
+
+LICENSE="BSD"
+SLOT="0"
+KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
+IUSE="test"
+
+RDEPEND="
+	dev-python/bokeh[${PYTHON_USEDEP}]
+	dev-python/cloudpickle[${PYTHON_USEDEP}]
+	dev-python/numpy[${PYTHON_USEDEP}]
+	dev-python/pandas[${PYTHON_USEDEP}]
+	dev-python/partd[${PYTHON_USEDEP}]
+	dev-python/psutil[${PYTHON_USEDEP}]
+	dev-python/toolz[${PYTHON_USEDEP}]"
+DEPEND="
+	dev-python/setuptools[${PYTHON_USEDEP}]
+	dev-python/toolz[${PYTHON_USEDEP}]
+	test? (
+		 dev-python/pytest[${PYTHON_USEDEP}]
+		 dev-python/numexpr[${PYTHON_USEDEP}]
+		 sci-libs/scipy[${PYTHON_USEDEP}] )"
+
+python_test() {
+	py.test || die
+}

dev-python/dask/metadata.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
+<pkgmetadata>
+  <maintainer type="project">
+    <email>cluster@gentoo.org</email>
+    <name>Gentoo Cluster Project</name>
+  </maintainer>
+  <maintainer type="project">
+    <email>python@gentoo.org</email>
+    <name>Python</name>
+  </maintainer>
+  <longdescription lang="en">
+    Dask is a simple task scheduling system that uses directed acyclic
+    graphs (DAGs) of tasks to break up large computations into many
+    small ones.
+</longdescription>
+  <upstream>
+    <remote-id type="pypi">dask</remote-id>
+  </upstream>
+</pkgmetadata>