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Horea Christian 2020-01-22 18:08:23 +01:00
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*scikits_video-1.1.11_p20200114 (20 Jan 2020)
20 Jan 2020; <chymera@gentoo.org> +metadata.xml,
+scikits_video-1.1.11_p20200114.ebuild:
sci-libs/scikits_video: new package

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DIST scikits_video-1.1.11_p20200114.tar.gz 32059826 SHA256 1a81440c8be749defdd8a2d07a1a11e0a62839a986bfd9dd5976aeb3d60ca71d SHA512 4e0b337c54ffc2394be30de84113c4ec3f8f0217c5059712a40668b03ba7516a721f99786a6f7bea58a9eeb25324702f5ff90ecbb8976b059ce71331d526b0c8 WHIRLPOOL 5d802e459eab4462c65c6509439cfc591ea9568425b46cac4d2070cf8adc5152fecaa43324680c85ea4aee38105e6ab50d07250d47b7e637f0325c52edeccf58

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<?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 SciKit (toolkit for SciPy) includes useful image processing
algorithms for use with Python and NumPy. While SciPys ndimage
provides low-level manipulation, scikits.image centres around
algorithms and applications.
</longdescription>
<use>
<flag name="freeimage">Enable support for image i/o via
<pkg>media-libs/freeimage</pkg></flag>
<flag name="pyamg">Enable support for algebraic solvers via <pkg>dev-python/pyamg</pkg></flag>
</use>
<upstream>
<remote-id type="pypi">scikit-image</remote-id>
</upstream>
</pkgmetadata>

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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 eutils virtualx
MY_PN="scikit-video"
MY_HASH="66919e0828410938a4d52f37987b07f7f5de96af"
DESCRIPTION="Video processing in Python"
HOMEPAGE="https://scikit-image.org/"
SRC_URI="https://github.com/scikit-video/scikit-video/archive/${MY_HASH}.tar.gz -> ${P}.tar.gz"
LICENSE="BSD"
SLOT="0"
KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
IUSE="doc freeimage pyamg test"
RESTRICT="!test? ( test )"
RDEPEND="
|| ( media-video/ffmpeg media-video/libav )
dev-python/numpy[${PYTHON_USEDEP}]
sci-libs/scipy[${PYTHON_USEDEP}]
dev-python/pillow[${PYTHON_USEDEP}]
sci-libs/scikits_learn[${PYTHON_USEDEP}]
media-video/mediainfo
"
DEPEND="${RDEPEND}
test? ( dev-python/pytest[${PYTHON_USEDEP}] )
"
S="${WORKDIR}/${MY_PN}-${MY_HASH}"
python_test() {
nosetests -v || die
}