New package: py-cuml (#19474)
* [py-cuml] created template * [py-cuml] setup phases and added build_directory * [py-cuml] added dependencies * [py-cuml] depends on libcumlprims * [py-cuml] requiring multigpu version * [py-cuml] figuring out the best way to get concretization to happen cleanly * [py-cuml] removed singlegpu variat from libcuml * [py-cuml] depends on py-cudf * [py-cuml] depends on cupy * [py-cuml] fixed typoo * [py-cuml] depends on py-scipy * [py-cuml] depends on py-treelite * [py-cuml] py-treelite is now a variant of treelite * [py-cuml] depends on joblib * [py-cuml] depends on py-scikit-learn * [py-cuml] flake8 * [py-cuml] added homepage and description. removed fixmes * [py-cuml] updated checksum
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var/spack/repos/builtin/packages/py-cuml/package.py
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var/spack/repos/builtin/packages/py-cuml/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 PyCuml(PythonPackage):
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"""cuML is a suite of libraries that implement machine
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learning algorithms and mathematical primitives functions
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that share compatible APIs with other RAPIDS projects."""
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homepage = "https://github.com/rapidsai/cuml"
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url = "https://github.com/rapidsai/cuml/archive/v0.15.0.tar.gz"
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version('0.15.0', sha256='5c9c656ae4eaa94a426e07d7385fd5ea0e5dc7abff806af2941aee10d4ca99c7')
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depends_on('python@3.7:', 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-numpy', type=('build', 'run'))
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depends_on('py-numba', type=('build', 'run'))
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depends_on('py-cudf', type=('build', 'run'))
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depends_on('cuda')
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depends_on('py-cupy', type=('build', 'run'))
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depends_on('py-scipy', type=('build', 'run'))
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depends_on('treelite+python', type=('build', 'run'))
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depends_on('py-joblib', type=('build', 'run'))
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depends_on('py-scikit-learn', type=('build', 'run'))
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for v in ('11.0', '10.2', '10.1'):
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depends_on(
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'libcumlprims@0.15.0-cuda{0}_gdbd0d39_0'.format(v),
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when='^cuda@{0}'.format(v))
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for v in ('@0.15.0',):
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depends_on('libcuml{0}'.format(v), when=v)
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phases = ['build_ext', 'install']
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build_directory = 'python'
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