commit:     dffbe638a09c0eb00dc5d2e91e7c38e53c4642b5
Author:     Michał Górny <mgorny <AT> gentoo <DOT> org>
AuthorDate: Fri Oct  9 08:03:28 2020 +0000
Commit:     Michał Górny <mgorny <AT> gentoo <DOT> org>
CommitDate: Fri Oct  9 08:03:28 2020 +0000
URL:        https://gitweb.gentoo.org/repo/gentoo.git/commit/?id=dffbe638

dev-python/root_numpy: Remove last-rited pkg

Closes: https://bugs.gentoo.org/737378
Signed-off-by: Michał Górny <mgorny <AT> gentoo.org>

 dev-python/root_numpy/Manifest                   |  1 -
 dev-python/root_numpy/metadata.xml               | 21 -----------
 dev-python/root_numpy/root_numpy-4.7.3-r1.ebuild | 46 ------------------------
 profiles/package.mask                            |  1 -
 4 files changed, 69 deletions(-)

diff --git a/dev-python/root_numpy/Manifest b/dev-python/root_numpy/Manifest
deleted file mode 100644
index c4c95d223d4..00000000000
--- a/dev-python/root_numpy/Manifest
+++ /dev/null
@@ -1 +0,0 @@
-DIST root_numpy-4.7.3.tar.gz 522432 BLAKE2B 
9aab3090c894d8917218a68d83269c0f426ee4e7f81628081e9e710c4239bba5e8f88dcb1d91156cf02c7c36b1ee5d03cdd0c3931ca6e2f3eee6c78201386705
 SHA512 
7c2684ac0e4e68676304e2a72c7169e0299cfea5b4b63f2525a422974ca83f9c9b4f9f11d992acef7d8565cda7f7a85bd13621513cd7c47f1887aaa0cc46d6e7

diff --git a/dev-python/root_numpy/metadata.xml 
b/dev-python/root_numpy/metadata.xml
deleted file mode 100644
index 07c071353ab..00000000000
--- a/dev-python/root_numpy/metadata.xml
+++ /dev/null
@@ -1,21 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd";>
-<pkgmetadata>
-  <maintainer type="project">
-    <email>[email protected]</email>
-    <name>Gentoo Physics Project</name>
-  </maintainer>
-  <longdescription lang="en">
-  root_numpy is a Python extension for converting ROOT TTrees into
-  NumPy recarrays or structured arrays. With the core internals
-  written in C++, root_numpy can efficiently handle large amounts of
-  data (limited only by the available memory). 
-  Now that your ROOT data is in NumPy form, you can make use of the many
-  powerful scientific Python packages or perform quick exploratory data
-  analysis in interactive environments like IPython.
-</longdescription>
-  <upstream>
-    <remote-id type="pypi">root_numpy</remote-id>
-    <remote-id type="github">rootpy/root_numpy</remote-id>
-  </upstream>
-</pkgmetadata>

diff --git a/dev-python/root_numpy/root_numpy-4.7.3-r1.ebuild 
b/dev-python/root_numpy/root_numpy-4.7.3-r1.ebuild
deleted file mode 100644
index 8333f884197..00000000000
--- a/dev-python/root_numpy/root_numpy-4.7.3-r1.ebuild
+++ /dev/null
@@ -1,46 +0,0 @@
-# Copyright 1999-2020 Gentoo Authors
-# Distributed under the terms of the GNU General Public License v2
-
-EAPI=5
-
-DISTUTILS_SINGLE_IMPL=1
-PYTHON_COMPAT=( python3_6 )
-
-inherit distutils-r1
-
-DESCRIPTION="Interface between ROOT and numpy"
-HOMEPAGE="https://github.com/rootpy/root_numpy";
-SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P}.tar.gz"
-
-LICENSE="BSD"
-SLOT="0"
-KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
-IUSE="examples test"
-RESTRICT="!test? ( test )"
-
-RDEPEND="
-       $(python_gen_cond_dep '
-               dev-python/numpy[${PYTHON_MULTI_USEDEP}]
-       ')
-       sci-physics/root:=[python,${PYTHON_SINGLE_USEDEP}]"
-
-DEPEND="${RDEPEND}
-       test? (
-               $(python_gen_cond_dep '
-                       dev-python/nose[${PYTHON_MULTI_USEDEP}] )
-               ')"
-
-python_test() {
-       cd "${BUILD_DIR}" || die
-       nosetests -v || die "Testing failed with ${EPYTHON}"
-}
-
-python_install_all() {
-       if use examples; then
-               docinto examples
-               dodoc -r tutorial/.
-               docompress -x /usr/share/doc/${PF}/examples
-       fi
-
-       distutils-r1_python_install_all
-}

diff --git a/profiles/package.mask b/profiles/package.mask
index 4ea8548576d..9e52b0d4ac8 100644
--- a/profiles/package.mask
+++ b/profiles/package.mask
@@ -486,7 +486,6 @@ media-sound/freebirth
 app-crypt/acmebot
 app-vim/conque
 dev-python/redlock-py
-dev-python/root_numpy
 
 # Michał Górny <[email protected]> (2020-09-09)
 # These packages (or package versions) still require Python 2.7.

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