Mpifileutils (#4283)
* adding mpifileutils * mpifileutils: add +lustre variant * mpifileutils: add variant for xattr * mpifileutils: update to AutotoolsPackage * mpifileutils: simplify and eliminate redundant make * mpifileutils: drop unnecessary comments
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var/spack/repos/builtin/packages/mpifileutils/package.py
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var/spack/repos/builtin/packages/mpifileutils/package.py
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##############################################################################
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# Copyright (c) 2013-2017, Lawrence Livermore National Security, LLC.
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# Produced at the Lawrence Livermore National Laboratory.
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#
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# This file is part of Spack.
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# Created by Todd Gamblin, tgamblin@llnl.gov, All rights reserved.
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# LLNL-CODE-647188
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#
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# For details, see https://github.com/llnl/spack
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# Please also see the LICENSE file for our notice and the LGPL.
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#
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# This program is free software; you can redistribute it and/or modify
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# it under the terms of the GNU Lesser General Public License (as
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# published by the Free Software Foundation) version 2.1, February 1999.
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#
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# This program is distributed in the hope that it will be useful, but
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# WITHOUT ANY WARRANTY; without even the IMPLIED WARRANTY OF
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the terms and
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# conditions of the GNU Lesser General Public License for more details.
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#
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# You should have received a copy of the GNU Lesser General Public
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# License along with this program; if not, write to the Free Software
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# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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##############################################################################
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from spack import *
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class Mpifileutils(AutotoolsPackage):
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"""mpiFileUtils is a suite of MPI-based tools to manage large datasets,
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which may vary from large directory trees to large files.
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High-performance computing users often generate large datasets with
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parallel applications that run with many processes (millions in some
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cases). However those users are then stuck with single-process tools
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like cp and rm to manage their datasets. This suite provides
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MPI-based tools to handle typical jobs like copy, remove, and compare
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for such datasets, providing speedups of up to 20-30x."""
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homepage = "https://github.com/hpc/mpifileutils"
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url = "https://github.com/hpc/mpifileutils/releases/download/v0.6/mpifileutils-0.6.tar.gz"
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version('0.6', '620bcc4966907481f1b1a965b28fc9bf')
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depends_on('mpi')
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depends_on('libcircle')
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depends_on('lwgrp')
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depends_on('dtcmp')
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depends_on('libarchive')
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variant('xattr', default=True,
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description="Enable code for extended attributes")
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variant('lustre', default=False,
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description="Enable optimizations and features for Lustre")
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# install experimental tools
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# (coming with v0.7)
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# variant('experimental', default=False,
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# description="Install experimental tools")
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def configure_args(self):
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args = []
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if '+lustre' in self.spec:
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args.append('--enable-lustre')
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else:
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args.append('--disable-lustre')
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# coming with v0.7
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# if '+experimental' in self.spec:
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# args.append('--enable-experimental')
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# else:
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# args.append('--disable-experimental')
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return args
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@property
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def build_targets(self):
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targets = []
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if '+xattr' in self.spec:
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targets.append('CFLAGS=-DDCOPY_USE_XATTRS')
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return targets
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