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# 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)
import os
from spack import *
class PyCudf(PythonPackage):
"""Built based on the Apache Arrow columnar memory format,
cuDF is a GPU DataFrame library for loading, joining,
aggregating, filtering, and otherwise manipulating data."""
homepage = "https://rapids.ai"
url = "https://github.com/rapidsai/cudf/archive/v0.15.0.tar.gz"
version('0.15.0', sha256='2570636b72cce4c52f71e36307f51f630e2f9ea94a1abc018d40ce919ba990e4')
build_directory = 'python/cudf'
depends_on('cmake@3.14:', type='build')
depends_on('python@3.6:', type=('build', 'run'))
depends_on('py-setuptools', type='build')
depends_on('py-cython', type='build')
depends_on('py-numba@0.40.0:', type=('build', 'run'))
depends_on('py-numpy@1.14.4:', type=('build', 'run'))
depends_on('py-pyarrow+cuda+orc+parquet', type=('build', 'run'))
depends_on('py-pandas@0.23.4:', type=('build', 'run'))
depends_on('py-rmm', type=('build', 'run'))
depends_on('cuda@10:')
depends_on('py-cupy', type=('build', 'run'))
depends_on('py-fsspec', type=('build', 'run'))
for v in ('@0.15.0',):
depends_on('libcudf' + v, when=v)
phases = ['cmake', 'build_ext', 'install']
def cmake(self, spec, prefix):
cmake = which('cmake')
build_dir = os.path.join(self.stage.source_path, 'cpp', 'build')
with working_dir(build_dir, create=True):
cmake('..')
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