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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 PyDhScikitOptimize(PythonPackage):
"""A Modified version of scikit-optimize a Sequential model-based
optimization toolbox for DeepHyper.
Scikit-Optimize, or skopt, is a simple and efficient library to
minimize (very) expensive and noisy black-box functions. It implements
several methods for sequential model-based optimization. skopt aims to
be accessible and easy to use in many contexts.
The library is built on top of NumPy, SciPy and Scikit-Learn."""
maintainers = ['Kerilk']
homepage = "https://github.com/deephyper/scikit-optimize"
pypi = "dh-scikit-optimize/dh-scikit-optimize-0.9.0.tar.gz"
version('0.9.5', sha256='c2777839a536215ab40fc5db2242809ccffd5e5b23718e23d58ea76ff35a7543')
version('0.9.4', sha256='9acfba4077fe45f3854a4af255763a3e8a396c05bd2a7c761a969171366b3840')
version('0.9.3', sha256='0c922c61dc1f010c7bbd2f0930c766e8ae040c35b129e4de6d51b611fd72b7c9')
version('0.9.2', sha256='9fd2d3accad7c3aca1d0edd0c88ec5490e9bc7a07f31d88f4051466a132dfd1d')
version('0.9.1', sha256='70e70011f4fd107082174c557de70ba37c215e71a676788234b85d5c370fd7bd')
version('0.9.0', sha256='fe70aa57ec5150a3d356b2184f0dda1ecc4ecb7e82d35edac3980094d409d676')
variant('plots', default=False,
description='Build with plot support from py-matplotlib')
depends_on('python@3.6:', type=('build', 'run'))
depends_on('py-setuptools', type='build')
depends_on('py-joblib@0.11:', type=('build', 'run'))
depends_on('py-pyaml@16.9:', type=('build', 'run'))
depends_on('py-numpy@1.13.3:', type=('build', 'run'))
depends_on('py-scipy@0.19.1:', type=('build', 'run'))
depends_on('py-scikit-learn@0.20.0:', type=('build', 'run'))
depends_on('py-configspace@0.4.20:', type=('build', 'run'))
depends_on('py-pandas', type=('build', 'run'), when='@0.9.1:')
depends_on('py-matplotlib@2.0.0:', when='+plots', type='run')
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