+++ /dev/null
-DIST mlpy-3.5.0.tar.gz 1961206 BLAKE2B 11c72a660af7c8c0498884c2745e069f5752e49e4571bb1e103c3588bab99eda5da593ad50812b07f0cd320791677960da5b2e139551b7fe80770c11ecfc06e5 SHA512 b6b3cf6e1d47fe58d68da81752ce9324e78a97c9fc341c93db7b2ea0c5d1730fae9535b69671fda13cb012ab0173951768c1601f2b4ad678a6065c018b34eb0f
+++ /dev/null
-<?xml version="1.0" encoding="UTF-8"?>
-<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
-<pkgmetadata>
- <maintainer type="project">
- <email>sci@gentoo.org</email>
- <name>Gentoo Science Project</name>
- </maintainer>
- <longdescription lang="en">
- mlpy provides a wide range of state-of-the-art machine learning
- methods for supervised and unsupervised problems and it is aimed at
- finding a reasonable compromise among modularity, maintainability,
- reproducibility, usability and efficiency.
-</longdescription>
- <upstream>
- <remote-id type="sourceforge">mlpy</remote-id>
- </upstream>
-</pkgmetadata>
+++ /dev/null
-# Copyright 1999-2015 Gentoo Foundation
-# Distributed under the terms of the GNU General Public License v2
-
-EAPI=5
-
-PYTHON_COMPAT=( python2_7 )
-
-inherit distutils-r1
-
-DESCRIPTION="High-performance Python library for predictive modeling"
-HOMEPAGE="https://mlpy.fbk.eu/"
-SRC_URI="mirror://sourceforge/${PN}/${P}.tar.gz"
-
-LICENSE="GPL-3"
-SLOT="0"
-KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
-IUSE="doc"
-
-RDEPEND="
- >=sci-libs/gsl-1.11
- >=dev-python/numpy-1.3[${PYTHON_USEDEP}]
- >=sci-libs/scipy-0.7[${PYTHON_USEDEP}]"
-DEPEND="${RDEPEND}
- doc? ( dev-python/sphinx[${PYTHON_USEDEP}] )"
-
-python_install_all() {
- distutils-r1_python_install_all
- if use doc; then
- pushd docs 2>/dev/null || die
- emake html
- dohtml -r build/html/*
- popd 2>/dev/null || die
- fi
-}