dev-python/emcee: initial import

Package-Manager: portage-2.2.28

diff --git a/dev-python/emcee/Manifest b/dev-python/emcee/Manifest
new file mode 100644 (file)
index 0000000..b330f4f
--- /dev/null
+++ b/dev-python/emcee/Manifest
@@ -0,0 +1 @@
+DIST emcee-2.1.0.tar.gz 23094 SHA256 5ce1039a3d78fb9e7d53fcd768517585c5998193743bfcfaac407927d375ca63 SHA512 dff055dddec630e922565c38fd65d41cbfb974f6efd301d7779a3cc7de8372d7ca64ced91d01757b5b37c7a00eecdbbda74c1cd3a899ae8999959cfdc2e7fe05 WHIRLPOOL e01e5cfb8ace4b89a1b1c7e52951cb256a9d46c6a5faa0fe1dc27d0118b8dca819761670d3d08f9ac3fdb79f3f64b75f241795cfb70da391fa080b1df1bc22c4

diff --git a/dev-python/emcee/emcee-2.1.0.ebuild b/dev-python/emcee/emcee-2.1.0.ebuild
new file mode 100644 (file)
index 0000000..356111f
--- /dev/null
+++ b/dev-python/emcee/emcee-2.1.0.ebuild
@@ -0,0 +1,29 @@
+# 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
+
+DESCRIPTION="Python ensemble sampling toolkit for affine-invariant MCMC"
+HOMEPAGE="http://danfm.ca/emcee/"
+SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P}.tar.gz"
+
+LICENSE="GPL-2"
+SLOT="0"
+KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
+IUSE="test"
+
+RDEPEND="dev-python/numpy[${PYTHON_USEDEP}]"
+DEPEND="${RDEPEND}
+       dev-python/setuptools[${PYTHON_USEDEP}]
+       test? ( dev-python/nose[${PYTHON_USEDEP}] )"
+
+DOCS=( AUTHORS.rst README.rst )
+
+python_test() {
+       nosetests -v || die
+}

diff --git a/dev-python/emcee/metadata.xml b/dev-python/emcee/metadata.xml
new file mode 100644 (file)
index 0000000..04a1931
--- /dev/null
+++ b/dev-python/emcee/metadata.xml
@@ -0,0 +1,22 @@
+<?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">
+  This provides a set of sparse matrix types for Python, with modules
+  which implement:
+  - Iterative methods for solving linear systems of equations
+  - A set of standard preconditioners
+  - An interface to a direct solver for sparse linear systems of equations
+  - The JDSYM eigensolver.
+  All of these modules are implemented as C extension modules based on
+  standard sparse and dense matrix libraries (UMFPACK/AMD, SuperLU,
+  BLAS/LAPACK) for maximum performance and robustness.
+</longdescription>
+  <upstream>
+    <remote-id type="pypi">emcee</remote-id>
+  </upstream>
+</pkgmetadata>