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# Copyright 2013-2023 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.package import *
class PySmac(PythonPackage):
"""SMAC is a tool for algorithm configuration to optimize
the parameters of arbitrary algorithms, including
hyperparameter optimization of Machine Learning
algorithms."""
homepage = "https://automl.github.io/SMAC3/master/"
pypi = "smac/smac-1.1.1.tar.gz"
license("BSD-3-Clause")
version("1.1.1", sha256="7b8c14c53384b32feb357b9f918a9b023cb01cbda2033e69125dee69ec0bd5b1")
depends_on("python@3.7:", type=("build", "run"))
depends_on("py-setuptools", type="build")
depends_on("py-numpy@1.7.1:", type=("build", "run"))
depends_on("py-scipy@1.7.0:", type=("build", "run"))
depends_on("py-psutil", type=("build", "run"))
depends_on("py-pynisher@0.4.1:", type=("build", "run"))
depends_on("py-configspace@0.4.14:0.4", type=("build", "run"))
depends_on("py-joblib", type=("build", "run"))
depends_on("py-scikit-learn@0.22.0:", type=("build", "run"))
depends_on("py-pyrfr@0.8.0:", type=("build", "run"))
depends_on("py-dask", type=("build", "run"))
depends_on("py-distributed", type=("build", "run"))
depends_on("py-emcee@3.0.0:", type=("build", "run"))
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