sci-mathematics/pymc3: Remove last-rited pkg

Closes: https://bugs.gentoo.org/718504
Signed-off-by: Michał Górny <mgorny@gentoo.org>

3 files changed, 0 insertions, 78 deletions

diff --git a/sci-mathematics/pymc3/Manifest b/sci-mathematics/pymc3/Manifest
deleted file mode 100644
index f343dde40baf..000000000000
--- a/sci-mathematics/pymc3/Manifest
+++ /dev/null
@@ -1 +0,0 @@
-DIST pymc3-3.1.tar.gz 34553828 BLAKE2B 73c4d50f7d656322fa1a7384aefa1f46caacccc8055138fefc27a82d765866efb9d4853a842a2df312058c558edd66b37a40295904c86f023f8fec5503877206 SHA512 30799d9c1b670adbcf5cc1463029d71a87c7b917e83b1f6cb453d75553616da7173421e7ae6e31b332c85f8170daea735344ff83ba6605cf3b15cf79c5c4fb97
diff --git a/sci-mathematics/pymc3/metadata.xml b/sci-mathematics/pymc3/metadata.xml
deleted file mode 100644
index 4476cda6eeea..000000000000
--- a/sci-mathematics/pymc3/metadata.xml
+++ /dev/null
@@ -1,19 +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-mathematics@gentoo.org</email>
-    <name>Gentoo Mathematics Project</name>
-  </maintainer>
-  <longdescription lang="en">
-    PyMC3 is a Python package for Bayesian statistical modeling and
-    Probabilistic Machine Learning which focuses on advanced Markov
-    chain Monte Carlo and variational fitting algorithms. Its
-    flexibility and extensibility make it applicable to a large suite
-    of problems.
-  </longdescription>
-  <upstream>
-    <remote-id type="github">pymc-devs/pymc3</remote-id>
-    <remote-id type="pypi">pymc3</remote-id>
-  </upstream>
-</pkgmetadata>
diff --git a/sci-mathematics/pymc3/pymc3-3.1-r1.ebuild b/sci-mathematics/pymc3/pymc3-3.1-r1.ebuild
deleted file mode 100644
index 46ef0a59ef5f..000000000000
--- a/sci-mathematics/pymc3/pymc3-3.1-r1.ebuild
+++ /dev/null
@@ -1,58 +0,0 @@
-# Copyright 1999-2020 Gentoo Authors
-# Distributed under the terms of the GNU General Public License v2
-
-EAPI=6
-
-PYTHON_COMPAT=( python3_6 )
-
-inherit distutils-r1 virtualx xdg-utils
-
-MYP=${P/_}
-S="${WORKDIR}/${MYP}"
-
-DESCRIPTION="Bayesian Modeling and Probabilistic Machine Learning in Python"
-HOMEPAGE="http://pymc-devs.github.io/pymc3/"
-SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${MYP}.tar.gz"
-
-SLOT=0
-KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
-LICENSE="AFL-3.0"
-
-IUSE="test"
-RESTRICT="!test? ( test )"
-
-RDEPEND="
-	>=dev-python/joblib-0.9[${PYTHON_USEDEP}]
-	>=dev-python/numpy-1.11[${PYTHON_USEDEP},lapack]
-	>=dev-python/matplotlib-1.5[${PYTHON_USEDEP}]
-	dev-python/nbsphinx[${PYTHON_USEDEP}]
-	dev-python/numpydoc[${PYTHON_USEDEP}]
-	>=dev-python/pandas-0.18[${PYTHON_USEDEP}]
-	>=dev-python/patsy-0.4[${PYTHON_USEDEP}]
-	dev-python/sphinx[${PYTHON_USEDEP}]
-	>=dev-python/theano-0.9[${PYTHON_USEDEP}]
-	>=dev-python/tqdm-4.8.4[${PYTHON_USEDEP}]
-	>=dev-python/scipy-0.12[${PYTHON_USEDEP}]
-"
-DEPEND="
-	dev-python/setuptools[${PYTHON_USEDEP}]
-	dev-python/cython[${PYTHON_USEDEP}]
-	test? (
-		${RDEPEND}
-		dev-python/nose[${PYTHON_USEDEP}]
-		dev-python/nose-parameterized[${PYTHON_USEDEP}]
-	)
-"
-
-DOCS=(CONTRIBUTING.md RELEASE-NOTES.md
-	  CONDUCT.md GOVERNANCE.md README.rst)
-
-python_prepare_all() {
-	xdg_environment_reset
-	distutils-r1_python_prepare_all
-}
-
-python_test() {
-	echo 'backend: agg' > matplotlibrc || die
-	virtx esetup.py test
-}