From 1cdfc3037429c1cf3c55c733163d9b13da17f42a Mon Sep 17 00:00:00 2001 From: Javier Date: Sun, 27 Nov 2016 01:47:56 +0100 Subject: [PATCH] New package - r-rsnns (#2415) --- .../repos/builtin/packages/r-rsnns/package.py | 50 +++++++++++++++++++ 1 file changed, 50 insertions(+) create mode 100644 var/spack/repos/builtin/packages/r-rsnns/package.py diff --git a/var/spack/repos/builtin/packages/r-rsnns/package.py b/var/spack/repos/builtin/packages/r-rsnns/package.py new file mode 100644 index 0000000000..7684792ba1 --- /dev/null +++ b/var/spack/repos/builtin/packages/r-rsnns/package.py @@ -0,0 +1,50 @@ +############################################################################## +# Copyright (c) 2013-2016, 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 LICENSE file 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(Package): + """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" + list_url = "https://cran.r-project.org/src/contrib/Archive/RSNNS" + + version('0.4-7', 'ade7736611c456effb5f72e0ce0a1e6f') + + extends('R') + + depends_on('r-rcpp', type=nolink) + + def install(self, spec, prefix): + R('CMD', 'INSTALL', '--library={0}'.format(self.module.r_lib_dir), + self.stage.source_path)