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# Copyright 2013-2022 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)


from spack import *


class RRsnns(RPackage):
    """Neural Networks using the Stuttgart Neural Network Simulator (SNNS).

    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."""

    cran = "RSNNS"

    version('0.4-14', sha256='7f6262cb2b49b5d5979ccce9ded9cbb2c0b348fd7c9eabc1ea1d31c51a102c20')
    version('0.4-12', sha256='b18dfeda71573bc92c6888af72da407651bff7571967965fd3008f0d331743b9')
    version('0.4-11', sha256='87943126e98ae47f366e3025d0f3dc2f5eb0aa2924508fd9ee9a0685d7cb477c')
    version('0.4-10.1', sha256='38bb3d172390bd01219332ec834744274b87b01f94d23b29a9d818c2bca04071')
    version('0.4-7', sha256='ec941dddda55e4e29ed281bd8768a93d65e0d86d56ecab0f2013c64c8d1a4994')

    depends_on('r@2.10.0:', type=('build', 'run'))
    depends_on('r-rcpp@0.8.5:', type=('build', 'run'))