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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)
import os
from spack.package 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"
license("Apache-2.0")
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)
@run_before("install")
def cmake(self):
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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