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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.package import *
class PyUncertainties(PythonPackage):
"""Transparent calculations with uncertainties on the quantities involved
(aka error propagation); fast calculation of derivatives
"""
homepage = "https://uncertainties-python-package.readthedocs.io/en/latest/"
pypi = "uncertainties/uncertainties-3.1.4.tar.gz"
version('3.1.6', sha256='7c4db5aaafd227e95485b61fba5d235dc8133aeecd98f8fc1224c038ce063e2d')
version('3.1.4', sha256='63548a94899f2a51eeb89b640f6ac311f481a8016b37dce157186e44619bc968')
variant('optional', default=False, description='Enable extra features involving numpy')
variant('docs', default=False, description='Build with documentation')
depends_on('python@2.7:', type=('build', 'run'))
depends_on('py-setuptools', type='build')
depends_on('py-future', type=('build', 'run'))
depends_on('py-numpy', type=('build', 'run'), when='+optional')
depends_on('py-sphinx', type='build', when='+docs')
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