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# Copyright 2013-2024 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"
license("Apache-2.0")
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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