dev-python/astroml: remove last-rited pkg

Signed-off-by: Mikle Kolyada <zlogene@gentoo.org>

dev-python/astroml/Manifest

@@ -1 +0,0 @@
-DIST astroML-0.3.tar.gz 242925 BLAKE2B f0a5d650cbd7e16b7c2a47cd83206312d7781c5a9b118a726ac19355f6de76c4fc2301ac91c7ad44b8076b61c167ea9c34272e9d63442e3fb606a0bf31acbfec SHA512 7b9c6824ec1c09c35a0e9ea10674c93c7f301a3b15c5104357d9749534b78203c33eaac82c8ec1d1c51bdf30e1408d21002d1d2e7e243aa08c28cc7b1f1ab74a

dev-python/astroml/astroml-0.3.ebuild

@@ -1,43 +0,0 @@
-# Copyright 1999-2019 Gentoo Authors
-# Distributed under the terms of the GNU General Public License v2
-
-EAPI=6
-PYTHON_COMPAT=( python{2_7,3_5,3_6} )
-
-inherit distutils-r1 virtualx
-
-MYPN=astroML
-MYP=${MYPN}-${PV}
-
-DESCRIPTION="Python Machine Learning library for astronomy"
-HOMEPAGE="http://www.astroml.org/"
-SRC_URI="mirror://pypi/${PN:0:1}/${MYPN}/${MYP}.tar.gz"
-
-LICENSE="BSD"
-SLOT="0"
-KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
-IUSE="examples test"
-RESTRICT="!test? ( test )"
-
-RDEPEND="
-	dev-python/astropy[${PYTHON_USEDEP}]
-	dev-python/matplotlib[${PYTHON_USEDEP}]
-	dev-python/numpy[${PYTHON_USEDEP}]
-	sci-libs/scipy[${PYTHON_USEDEP}]
-	sci-libs/scikits_learn[${PYTHON_USEDEP}]"
-DEPEND="${RDEPEND}
-	test? ( dev-python/nose[${PYTHON_USEDEP}] )"
-
-S="${WORKDIR}/${MYP}"
-
-DOCS=( CHANGES.rst README.rst )
-
-python_test() {
-	virtx nosetests --verbose
-}
-
-python_install_all() {
-	distutils-r1_python_install_all
-	insinto /usr/share/doc/${PF}
-	use examples && doins -r examples
-}

dev-python/astroml/metadata.xml

@@ -1,18 +0,0 @@
-<?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 a Python module for machine learning and data mining built on
- numpy, scipy, scikit-learn, and matplotlib. It contains a growing library of
- statistical and machine learning routines for analyzing astronomical data in
- Python, loaders for several open astronomical datasets, and a large suite of
- examples of analyzing and visualizing astronomical datasets.    
-  </longdescription>
-  <upstream>
-    <remote-id type="pypi">astroML</remote-id>
-  </upstream>
-</pkgmetadata>