New Package: py-rmm (#19104)
* [py-rmm] created template * [py-rmm] added dependencies * [py-rmm] setting build_directory * [py-rmm] added dependencies cuda and spdlog * [py-rmm] added homepage and description. removed fixmes * [py-rmm] added for loop for dependency versions * [py-rmm] flake8 * [py-rmm] updating upper range of python version * [py-rmm] removing python upper limit
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var/spack/repos/builtin/packages/py-rmm/package.py
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var/spack/repos/builtin/packages/py-rmm/package.py
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# Copyright 2013-2020 Lawrence Livermore National Security, LLC and other
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# Spack Project Developers. See the top-level COPYRIGHT file for details.
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#
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# SPDX-License-Identifier: (Apache-2.0 OR MIT)
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from spack import *
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class PyRmm(PythonPackage):
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"""RMM: RAPIDS Memory Manager. Achieving optimal
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performance in GPU-centric workflows frequently requires
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customizing how host and device memory are allocated."""
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homepage = "https://github.com/rapidsai/rmm"
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url = "https://github.com/rapidsai/rmm/archive/v0.15.0.tar.gz"
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version('0.15.0', sha256='599f97b95d169a90d11296814763f7e151a8a1e060ba10bc6c8f4684a5cd7972')
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depends_on('python@3.6:', type=('build', 'run'))
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depends_on('py-setuptools', type='build')
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depends_on('py-cython', type='build')
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depends_on('py-numba', type=('build', 'run'))
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for v in ('@0.15.0',):
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depends_on('librmm' + v, when=v)
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depends_on('cuda@9:')
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depends_on('spdlog')
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build_directory = 'python'
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