Updating liguros repo

3 files changed, 77 insertions, 0 deletions

diff --git a/dev-python/seaborn/Manifest b/dev-python/seaborn/Manifest
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+DIST seaborn-0.10.0.tar.gz 194113 BLAKE2B 7e5d6efd7a8446172a3f102c2c7815483f5e24cd2698f52e70186395468a782e45e1cc8fa7eacf7e2956b66e2a6cda76525973b2fecdc43a784af85319c9f5fa SHA512 1f6288931cb63d3109663b5aedc7c11b6b97a6afd8cf9b9e94a9a1f4e18c45456ae7bb055c5be0fb0c34dbb3fdf992d7a88bc1cb88506bebf9ddf9bf685aa3ea
diff --git a/dev-python/seaborn/metadata.xml b/dev-python/seaborn/metadata.xml
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+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
+<pkgmetadata>
+	<maintainer type="person">
+		<email>chr@chymera.eu</email>
+		<name>Horea Christian</name>
+	</maintainer>
+	<maintainer type="project">
+		<email>proxy-maint@gentoo.org</email>
+		<name>Proxy Maintainers</name>
+	</maintainer>
+	<maintainer type="project">
+		<email>python@gentoo.org</email>
+		<name>Python</name>
+	</maintainer>
+	<longdescription lang="en">
+		Seaborn is a library for making attractive and informative statistical graphics
+		in Python. It is built on top of matplotlib and tightly integrated with the
+		PyData stack, including support for numpy and pandas data structures and
+		statistical routines from scipy and statsmodels.
+
+		Some of the features that seaborn offers are
+
+		* Several built-in themes that improve on the default matplotlib aesthetics
+		* Tools for choosing color palettes to make beautiful plots that reveal patterns in your data
+		* Functions for visualizing univariate and bivariate distributions or for comparing them between subsets of data
+		* Tools that fit and visualize linear regression models for different kinds of independent and dependent variables
+		* Functions that visualize matrices of data and use clustering algorithms to discover structure in those matrices
+		* A function to plot statistical timeseries data with flexible estimation and representation of uncertainty around the estimate
+		* High-level abstractions for structuring grids of plots that let you easily build complex visualizations
+	</longdescription>
+	<upstream>
+		<remote-id type="pypi">seaborne</remote-id>
+		<remote-id type="github">mwaskom/seaborn</remote-id>
+	</upstream>
+	<origin>gentoo-staging</origin>
+</pkgmetadata>
diff --git a/dev-python/seaborn/seaborn-0.10.0.ebuild b/dev-python/seaborn/seaborn-0.10.0.ebuild
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index 000000000000..ede4b500f025
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+# Copyright 1999-2020 Gentoo Authors
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=7
+
+PYTHON_COMPAT=( python3_{6,7} )
+
+inherit distutils-r1 virtualx
+
+DESCRIPTION="Statistical data visualization"
+HOMEPAGE="https://seaborn.pydata.org https://github.com/mwaskom/seaborn"
+SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P}.tar.gz"
+
+SLOT="0"
+LICENSE="BSD"
+KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
+IUSE="test"
+RESTRICT="!test? ( test )"
+
+RDEPEND="
+	>=dev-python/matplotlib-2.1.2[${PYTHON_USEDEP}]
+	>=dev-python/numpy-1.13.3[${PYTHON_USEDEP}]
+	>=dev-python/pandas-0.22.0[${PYTHON_USEDEP}]
+	dev-python/patsy[${PYTHON_USEDEP}]
+	dev-python/statsmodels[${PYTHON_USEDEP}]
+	>=sci-libs/scipy-1.0.1[${PYTHON_USEDEP}]
+"
+DEPEND="${RDEPEND}
+	test? (
+		dev-python/nose[${PYTHON_USEDEP}]
+	)
+"
+
+python_test() {
+	cat > matplotlibrc <<- EOF || die
+	backend : Agg
+	EOF
+	virtx nosetests --verbosity=3
+}