51 lines
2.2 KiB
Python
51 lines
2.2 KiB
Python
##############################################################################
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# Copyright (c) 2013-2016, Lawrence Livermore National Security, LLC.
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# Produced at the Lawrence Livermore National Laboratory.
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#
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# This file is part of Spack.
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# Created by Todd Gamblin, tgamblin@llnl.gov, All rights reserved.
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# LLNL-CODE-647188
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#
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# For details, see https://github.com/llnl/spack
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# Please also see the LICENSE file for our notice and the LGPL.
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#
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# This program is free software; you can redistribute it and/or modify
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# it under the terms of the GNU Lesser General Public License (as
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# published by the Free Software Foundation) version 2.1, February 1999.
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#
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# This program is distributed in the hope that it will be useful, but
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# WITHOUT ANY WARRANTY; without even the IMPLIED WARRANTY OF
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the terms and
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# conditions of the GNU Lesser General Public License for more details.
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#
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# You should have received a copy of the GNU Lesser General Public
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# License along with this program; if not, write to the Free Software
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# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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##############################################################################
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from spack import *
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class RInfluencer(Package):
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"""Provides functionality to compute various node centrality measures on
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networks. Included are functions to compute betweenness centrality (by
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utilizing Madduri and Bader's SNAP library), implementations of Burt's
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constraint and effective network size (ENS) metrics, Borgatti's algorithm
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to identify key players, and Valente's bridging metric. On Unix systems,
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the betweenness, Key Players, and bridging implementations are parallelized
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with OpenMP, which may run faster on systems which have OpenMP
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configured."""
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homepage = "https://github.com/rcc-uchicago/influenceR"
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url = "https://cran.r-project.org/src/contrib/influenceR_0.1.0.tar.gz"
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version('0.1.0', '6c8b6decd78c341364b5811fb3050ba5')
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extends('R')
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depends_on('r-igraph', type=nolink)
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depends_on('r-matrix', type=nolink)
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def install(self, spec, prefix):
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R('CMD', 'INSTALL', '--library={0}'.format(self.module.r_lib_dir),
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self.stage.source_path)
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