# Copyright 2013-2021 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 PyCuml(PythonPackage):
    """cuML is a suite of libraries that implement machine
    learning algorithms and mathematical primitives functions
    that share compatible APIs with other RAPIDS projects."""

    homepage = "https://github.com/rapidsai/cuml"
    url      = "https://github.com/rapidsai/cuml/archive/v0.15.0.tar.gz"

    version('0.15.0',  sha256='5c9c656ae4eaa94a426e07d7385fd5ea0e5dc7abff806af2941aee10d4ca99c7')

    depends_on('python@3.7:', type=('build', 'run'))
    depends_on('py-setuptools', type='build')
    depends_on('py-cython', type='build')
    depends_on('py-numpy', type=('build', 'run'))
    depends_on('py-numba', type=('build', 'run'))
    depends_on('py-cudf', type=('build', 'run'))
    depends_on('cuda')
    depends_on('py-cupy', type=('build', 'run'))
    depends_on('py-scipy', type=('build', 'run'))
    depends_on('treelite+python', type=('build', 'run'))
    depends_on('py-joblib', type=('build', 'run'))
    depends_on('py-scikit-learn', type=('build', 'run'))

    for v in ('11.0', '10.2', '10.1'):
        depends_on(
            'libcumlprims@0.15.0-cuda{0}_gdbd0d39_0'.format(v),
            when='^cuda@{0}'.format(v))

    for v in ('@0.15.0',):
        depends_on('libcuml{0}'.format(v), when=v)

    phases = ['build_ext', 'install']

    build_directory = 'python'
