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New packages: py-quaternionic and py-spherical (#28611)

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Nils Leif Fischer 2022-01-26 23:48:43 +01:00 committed by GitHub
parent 991438a242
commit 28bda22e52
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var/spack/repos/builtin/packages/py-quaternionic/package.py Normal file
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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 PyQuaternionic(PythonPackage):
"""Interpret numpy arrays as quaternionic arrays with numba acceleration"""
homepage = "https://github.com/moble/quaternionic"
pypi = "quaternionic/quaternionic-1.0.1.tar.gz"
maintainers = ['nilsleiffischer', 'moble']
version('1.0.1', sha256='ea69733d7311784963922bf08cc0c9c938b62fee2f91219f56544ff30658c10e')
depends_on('python@3.6:3.9', type=('build', 'run'))
depends_on('py-poetry-core@1.0.1:', type='build')
depends_on('py-importlib-metadata@1:', when='^python@:3.7', type=('build', 'run'))
depends_on('py-numpy@1.13:', type=('build', 'run'))
depends_on('py-scipy@1:', type=('build', 'run'))
depends_on('py-numba@0.50:', type=('build', 'run'))

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var/spack/repos/builtin/packages/py-spherical/package.py Normal file
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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 PySpherical(PythonPackage):
"""Evaluate and transform D matrices, 3-j symbols, and (scalar or
spin-weighted) spherical harmonics"""
homepage = "https://github.com/moble/spherical"
pypi = "spherical/spherical-1.0.10.tar.gz"
maintainers = ['nilsleiffischer', 'moble']
version('1.0.10', sha256='a7f1d902aa89fd51174a0c69b2379c352d229bf7e088907e8eb4461ad227d95f')
depends_on('python@3.6:3.9', type=('build', 'run'))
depends_on('py-poetry-core@1.0.1:', type='build')
depends_on('py-importlib-metadata@1:', when='^python@:3.7', type=('build', 'run'))
depends_on('py-numpy@1.13:', type=('build', 'run'))
depends_on('py-numba@0.50:', type=('build', 'run'))
depends_on('py-quaternionic@1:', type=('build', 'run'))