r-fastcluster: new package (#8934)
* r-fastcluster: new package * r-fastcluster: add list_url
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var/spack/repos/builtin/packages/r-fastcluster/package.py
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var/spack/repos/builtin/packages/r-fastcluster/package.py
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##############################################################################
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# Copyright (c) 2013-2018, 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/spack/spack
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# Please also see the NOTICE and LICENSE files 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 RFastcluster(RPackage):
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"""This is a two-in-one package which provides interfaces to both R
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and 'Python'. It implements fast hierarchical, agglomerative
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clustering routines. Part of the functionality is designed as drop-in
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replacement for existing routines: linkage() in the 'SciPy' package
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'scipy.cluster.hierarchy', hclust() in R's 'stats' package, and the
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'flashClust' package. It provides the same functionality with the
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benefit of a much faster implementation. Moreover, there are
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memory-saving routines for clustering of vector data, which go beyond
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what the existing packages provide. For information on how to install
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the 'Python' files, see the file INSTALL in the source distribution."""
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homepage = "http://danifold.net/fastcluster.html"
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url = "https://cran.r-project.org/src/contrib/fastcluster_1.1.25.tar.gz"
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list_url = "https://cran.r-project.org/src/contrib/Archive/fastcluster/"
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version('1.1.25', sha256='f3661def975802f3dd3cec5b2a1379f3707eacff945cf448e33aec0da1ed4205')
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depends_on('r@3.0.0:', type=('build', 'run'))
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