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##############################################################################
# Copyright (c) 2013-2017, Lawrence Livermore National Security, LLC.
# Produced at the Lawrence Livermore National Laboratory.
#
# This file is part of Spack.
# Created by Todd Gamblin, tgamblin@llnl.gov, All rights reserved.
# LLNL-CODE-647188
#
# For details, see https://github.com/llnl/spack
# Please also see the NOTICE and LICENSE files for our notice and the LGPL.
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License (as
# published by the Free Software Foundation) version 2.1, February 1999.
#
# This program is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the IMPLIED WARRANTY OF
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the terms and
# conditions of the GNU Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with this program; if not, write to the Free Software
# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
##############################################################################
from spack import *
class RRsnns(RPackage):
"""The Stuttgart Neural Network Simulator (SNNS) is a library containing
many standard implementations of neural networks. This package wraps the
SNNS functionality to make it available from within R. Using the RSNNS
low-level interface, all of the algorithmic functionality and flexibility
of SNNS can be accessed. Furthermore, the package contains a convenient
high-level interface, so that the most common neural network topologies
and learning algorithms integrate seamlessly into R."""
homepage = "http://sci2s.ugr.es/dicits/software/RSNNS"
url = "https://cran.r-project.org/src/contrib/RSNNS_0.4-7.tar.gz"
version('0.4-7', 'ade7736611c456effb5f72e0ce0a1e6f')
depends_on('r-rcpp', type=('build', 'run'))
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