dev-python/astroml-addons: initial import

Package-Manager: portage-2.2.27

dev-python/astroml-addons/Manifest

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+DIST astroML_addons-0.2.2.tar.gz 51052 SHA256 c4b6e9d9f86550e1a59b54ddedf6666c7293bd7ad7b99549170e3053e57cb0cb SHA512 97c61c731d3dd8cadbfcb36defd1a678f776a2012fda1159621d3e364e25ca74cd0d284980f52095a2df31973cefba09f9b3efe72ba95b4f65ca13e4aaec5e20 WHIRLPOOL d8c7650692cbbb90f4f820804603dfdc87f5bb063ff0a1977f51c0f4c40313c4a98c50385027e35ce01ed9f02b59cc009f081c8da168397f2bb141c4f867262c

dev-python/astroml-addons/astroml-addons-0.2.2.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=( python{2_7,3_4,3_5} )
+
+inherit distutils-r1
+
+MYPN=astroML_addons
+MYP=${MYPN}-${PV}
+
+DESCRIPTION="Performance add-ons for the astroML package"
+HOMEPAGE="https://github.com/astroML/astroML_addons"
+SRC_URI="mirror://pypi/${PN:0:1}/${MYPN}/${MYP}.tar.gz"
+
+LICENSE="BSD"
+SLOT="0"
+KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
+IUSE=""
+
+RDEPEND="dev-python/astroml[${PYTHON_USEDEP}]"
+DEPEND="
+	dev-python/setuptools[${PYTHON_USEDEP}]
+	dev-python/numpy[${PYTHON_USEDEP}]"
+
+S="${WORKDIR}/${MYP}"
+
+DOCS=( README.rst )

dev-python/astroml-addons/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>sci-astronomy@gentoo.org</email>
+    <name>Gentoo Astronomy Project</name>
+  </maintainer>
+  <longdescription lang="en">
+    astroML is split into two components. The core astroML library is written
+    in python only, and is designed to be very easy to install for any users,
+    even those who don't have a working C or fortran compiler. A companion library,
+    astroML_addons, can be optionally installed for increased performance on
+    certain algorithms. Every algorithm in astroML_addons has a pure python
+    counterpart in the core astroML implementation, but the astroML_addons library
+    contains faster and more efficient implementations in compiled code.
+    Furthermore, if astroML_addons is installed on your system, the core astroML
+    library will import and use the faster routines by default.
+  </longdescription>
+  <upstream>
+    <remote-id type="pypi">astroML_addons</remote-id>
+  </upstream>
+</pkgmetadata>