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# Copyright 2013-2024 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 PyAbcpy(PythonPackage):
"""
ABCpy is a highly modular, scientific library for approximate Bayesian
computation (ABC) written in Python. It is designed to run all included ABC
algorithms in parallel, either using multiple cores of a single computer or
using an Apache Spark or MPI enabled cluster.
"""
homepage = "https://github.com/eth-cscs/abcpy"
pypi = "abcpy/abcpy-0.6.3.tar.gz"
license("BSD-3-Clause-Clear")
version("0.6.3", sha256="14cd959f3ccff8f5fd1d16239b8706cc8d1c1e2fe25d72855f500f005de41245")
depends_on("python@3.6:", type=("build", "run"))
depends_on("py-setuptools", type="build")
depends_on("py-numpy", type=("build", "run"))
depends_on("py-scipy", type=("build", "run"))
depends_on("py-scikit-learn@0.23.1:", type=("build", "run"))
depends_on("py-glmnet@2.2.1:", type=("build", "run"))
depends_on("py-mpi4py", type=("build", "run"))
depends_on("py-cloudpickle", type=("build", "run"))
depends_on("py-matplotlib", type=("build", "run"))
depends_on("py-tqdm", type=("build", "run"))
depends_on("py-pot", type=("build", "run"))
# Development dependencies are required in setup.py :(
depends_on("py-sphinx", type="build")
depends_on("py-sphinx-rtd-theme", type="build")
depends_on("py-coverage", type="build")
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