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# Copyright 2013-2021 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 RRspectra(RPackage):
"""Solvers for Large-Scale Eigenvalue and SVD Problems
R interface to the 'Spectra' library <https://spectralib.org/> for
large-scale eigenvalue and SVD problems. It is typically used to compute a
few eigenvalues/vectors of an n by n matrix, e.g., the k largest
eigenvalues, which is usually more efficient than eigen() if k << n. This
package provides the 'eigs()' function that does the similar job as in
'Matlab', 'Octave', 'Python SciPy' and 'Julia'. It also provides the
'svds()' function to calculate the largest k singular values and
corresponding singular vectors of a real matrix. The matrix to be computed
on can be dense, sparse, or in the form of an operator defined by the
user."""
homepage = "https://github.com/yixuan/RSpectra"
url = "https://cloud.r-project.org/src/contrib/RSpectra_0.15-0.tar.gz"
list_url = "https://cloud.r-project.org/src/contrib/Archive/RSpectra"
version('0.16-0', sha256='aaf1cfc9ffe3a4c6684247899924e1c18306971dfef4bae1dc596a2fb42a64a9')
version('0.15-0', sha256='1ad5698201007044a0420cb10b7c48e94312a8a1d22b9d946d5de1c6743969a9')
depends_on('r@3.0.2:', type=('build', 'run'))
depends_on('r-matrix@1.1-0:', type=('build', 'run'))
depends_on('r-rcpp@0.11.5:', type=('build', 'run'))
depends_on('r-rcppeigen@0.3.3.3.0:', type=('build', 'run'))
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