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dev-python/seaborn: Superseded by ::gentoo

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Signed-off-by: Horea Christian <chr@chymera.eu>
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Horea Christian 2020-12-27 06:45:07 -05:00
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15
dev-python/seaborn/ChangeLog
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25 Sep 2020; <chymera@gentoo.org> seaborn-0.10.1.ebuild:
dev-python/seaborn: updated scipy dependency category
26 Aug 2020; <chymera@gentoo.org> seaborn-0.10.1.ebuild:
dev-python/seaborn: no virtualx
24 Aug 2020; <chymera@gentoo.org> seaborn-0.10.1.ebuild:
dev-python/seaborn: version constraint update as per
https://github.com/mwaskom/seaborn/issues/2213
*seaborn-0.10.1 (23 Aug 2020)
23 Aug 2020; <chymera@gentoo.org> +metadata.xml, +seaborn-0.10.1.ebuild:
dev-python/seaborn: version bump 0.10.1 fix ahead of Gentoo main Bug:
https://bugs.gentoo.org/738374

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dev-python/seaborn/Manifest
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DIST seaborn-0.10.1.tar.gz 193770 SHA256 2d1a0c9d6bd1bc3cadb0364b8f06540f51322a670cf8438d0fde1c1c7317adc0 SHA512 167d44d7d64936e15e6c9061cc6bd53a40c0a3e4d619f936ae58de745d5f5273ee8acbd470d3ac155639aac072356a2c2655dff511c4be7d041c3528ab35386f WHIRLPOOL 91c685a63bdc9bc03d518cf03d35c2121c63f8e9712ae21cf26971e0d6b4c9221221d3ed0cc75ff95af1c3bf3d203e7516f272a32d7f9239d21ffd33a1ee00f1

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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>
</pkgmetadata>

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dev-python/seaborn/seaborn-0.10.1.ebuild
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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_{6,7,8} )
inherit distutils-r1
DESCRIPTION="Statistical data visualization"
HOMEPAGE="https://seaborn.pydata.org https://github.com/mwaskom/seaborn"
SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P}.tar.gz"
LICENSE="BSD"
SLOT="0"
KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
IUSE="test"
RESTRICT="!test? ( test )"
RDEPEND="
<dev-python/matplotlib-3.3.0[${PYTHON_USEDEP}]
>=dev-python/numpy-1.13.3[${PYTHON_USEDEP}]
>=dev-python/pandas-0.22.0[${PYTHON_USEDEP}]
dev-python/patsy[${PYTHON_USEDEP}]
>=dev-python/scipy-1.0.1[${PYTHON_USEDEP}]
dev-python/statsmodels[${PYTHON_USEDEP}]
"
DEPEND="${RDEPEND}
test? (
dev-python/nose[${PYTHON_USEDEP}]
dev-python/pytest[${PYTHON_USEDEP}]
)
"
python_test() {
cat > matplotlibrc <<- EOF || die
backend : Agg
EOF
pytest -vv || die
}