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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.package import *
from spack.pkg.builtin.boost import Boost
class Libcudf(CMakePackage):
"""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')
depends_on('cmake@3.14:', type='build')
depends_on('cuda@10.0:')
# TODO: replace this with an explicit list of components of Boost,
# for instance depends_on('boost +filesystem')
# See https://github.com/spack/spack/pull/22303 for reference
depends_on(Boost.with_default_variants)
depends_on('arrow+cuda+orc+parquet')
depends_on('librmm')
depends_on('dlpack')
root_cmakelists_dir = 'cpp'
def cmake_args(self):
args = []
# args.append('-DGPU_ARCHES')
args.append('-DUSE_NVTX=ON')
args.append('-DBUILD_BENCHMARKS=OFF')
args.append('-DDISABLE_DEPRICATION_WARNING=ON')
args.append('-DPER_THREAD_DEFAULT_STREAM=OFF')
return args
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