48 lines
2.2 KiB
Python
48 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 RNloptr(Package):
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"""nloptr is an R interface to NLopt. NLopt is a free/open-source library
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for nonlinear optimization, providing a common interface for a number of
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different free optimization routines available online as well as original
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implementations of various other algorithms. See
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http://ab-initio.mit.edu/wiki/index.php/NLopt_Introduction for more
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information on the available algorithms. During installation on Unix the
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NLopt code is downloaded and compiled from the NLopt website."""
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homepage = "https://cran.r-project.org/package=nloptr"
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url = "https://cran.r-project.org/src/contrib/nloptr_1.0.4.tar.gz"
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list_url = "https://cran.r-project.org/src/contrib/Archive/nloptr"
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version('1.0.4', '9af69a613349b236fd377d0a107f484c')
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extends('R')
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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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