New package: libcudf (#19110)
* [libcudf] created template * [libcudf] depends on cuda * [libcudf] set cmake dir * [libcudf] depends on boost * [libcudf] depends on py-pyarrow * [libcudf] depends on librmm * [libcudf] depends on dlpack * [libcudf] added more dependency information from https://github.com/rapidsai/libcudf/blob/v0.15.0/CONTRIBUTING.md#customizing-the-build * [libcudf] removed python dependencies * [libcudf] fixed url that got mangled in package renaming * [libcudf] added default build options from build.sh * [libcudf] added version 0.16.0a * [libcudf] removed version 0.16.0a as it's an alpha version * [libcudf] added homepage and description. removed fixmes * [libcudf] flake8 * [libcudf] arrow requires +orc * [libcudf] requires +parquet * [libcudf] checksum changed
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var/spack/repos/builtin/packages/libcudf/package.py
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var/spack/repos/builtin/packages/libcudf/package.py
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# Copyright 2013-2020 Lawrence Livermore National Security, LLC and other
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# Spack Project Developers. See the top-level COPYRIGHT file for details.
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#
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# SPDX-License-Identifier: (Apache-2.0 OR MIT)
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from spack import *
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class Libcudf(CMakePackage):
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"""Built based on the Apache Arrow columnar memory format,
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cuDF is a GPU DataFrame library for loading, joining,
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aggregating, filtering, and otherwise manipulating data."""
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homepage = "https://rapids.ai"
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url = "https://github.com/rapidsai/cudf/archive/v0.15.0.tar.gz"
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version('0.15.0', sha256='2570636b72cce4c52f71e36307f51f630e2f9ea94a1abc018d40ce919ba990e4')
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depends_on('cmake@3.14:', type='build')
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depends_on('cuda@10.0:')
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depends_on('boost')
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depends_on('arrow+cuda+orc+parquet')
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depends_on('librmm')
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depends_on('dlpack')
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root_cmakelists_dir = 'cpp'
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def cmake_args(self):
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args = []
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# args.append('-DGPU_ARCHES')
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args.append('-DUSE_NVTX=ON')
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args.append('-DBUILD_BENCHMARKS=OFF')
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args.append('-DDISABLE_DEPRICATION_WARNING=ON')
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args.append('-DPER_THREAD_DEFAULT_STREAM=OFF')
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return args
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