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https://gitweb.gentoo.org/proj/sci.git/commit/?id=85c146f1b5cdc1ac126b798e40b73b180a8c57cd
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*spyking-circus-0.8.3 (03 Oct 2019)
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03 Oct 2019; <chymera@gentoo.org> +metadata.xml,
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+spyking-circus-0.8.3.ebuild:
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sci-libs/spyking-circus: new package for Aeneas
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DIST 0.8.3.tar.gz 4643002 SHA256 0658b32d33dae5fd138fee1d711ec326600a8e1147d800706a6af04acb589bb7 SHA512 029f45a3a4598111320b7590406e6f0ee1b61ebfe3070395795b714ee722d42bcf21ba79f88427380e981a9f3e06caabbd19acf5c1f427df3008f9fcfc38da99 WHIRLPOOL d50fe2590c95977212c04cec4fdffcc06d4fd06ab1e5603c584311af431fbdc5ddd2a14f9c7c02f88422591b280416e37c8536998c90b6ef3f1d16b9ff23b183
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<?xml version="1.0" encoding="UTF-8"?>
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<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
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<pkgmetadata>
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<maintainer type="person">
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<email>horea.christ@gmail.com</email>
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<name>Horea Christian</name>
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</maintainer>
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<longdescription lang="en">
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SpyKING CIRCUS is a python code to allow fast spike sorting on multi channel recordings. A publication on the algorithm can be found at https://elifesciences.org/articles/34518 It has been tested on datasets coming from in vitro retina with 252 electrodes MEA, from in vivo hippocampus with tetrodes, in vivo and in vitro cortex data with 30 and up to 4225 c
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</longdescription>
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</pkgmetadata>
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# Copyright 1999-2019 Gentoo Authors
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# Distributed under the terms of the GNU General Public License v2
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EAPI=7
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PYTHON_COMPAT=( python2_7 python3_{5,6} )
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inherit distutils-r1
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DESCRIPTION="Fast and scalable spike sorting in Python"
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HOMEPAGE="http://spyking-circus.rtfd.org"
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SRC_URI="https://github.com/spyking-circus/spyking-circus/archive/${PV}.tar.gz"
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LICENSE="CeCILL-2"
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SLOT="0"
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KEYWORDS="~amd64 ~x86"
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IUSE=""
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RDEPEND="
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dev-python/mpi4py[${PYTHON_USEDEP}]
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dev-python/numpy[${PYTHON_USEDEP}]
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dev-python/cython[${PYTHON_USEDEP}]
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sci-libs/scipy[${PYTHON_USEDEP}]
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dev-python/matplotlib[${PYTHON_USEDEP}]
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dev-python/h5py[${PYTHON_USEDEP}]
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dev-python/colorama[${PYTHON_USEDEP}]
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dev-python/psutil[${PYTHON_USEDEP}]
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dev-python/tqdm[${PYTHON_USEDEP}]
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dev-python/blosc[${PYTHON_USEDEP}]
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dev-python/statsmodels[${PYTHON_USEDEP}]
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sci-libs/scikits_learn[${PYTHON_USEDEP}]
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"
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DEPEND="
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dev-python/setuptools[${PYTHON_USEDEP}]
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"
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