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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 *
class Zfp(CMakePackage, CudaPackage):
"""zfp is a compressed number format for multidimensional floating-point
and integer arrays.
zfp provides compressed-array classes that support high throughput
read and write random access to individual array elements. zfp also
supports serial and parallel (OpenMP and CUDA) compression of whole
arrays.
"""
# Package info
homepage = 'https://zfp.llnl.gov'
url = 'https://github.com/LLNL/zfp/releases/download/0.5.5/zfp-0.5.5.tar.gz'
git = 'https://github.com/LLNL/zfp.git'
maintainers = ['lindstro', 'GarrettDMorrison']
tags = ['radiuss', 'e4s']
# Versions
version('develop', branch='develop')
version('0.5.5', sha256='fdf7b948bab1f4e5dccfe2c2048fd98c24e417ad8fb8a51ed3463d04147393c5')
version('0.5.4', sha256='746e17aaa401c67dcffd273d6e6f95c76adfbbd5cf523dcad56d09e9d3b71196')
version('0.5.3', sha256='a5d2f8e5b47a7c92e2a5775b82cbfb3a76c87d0ac83d25abb4ac10ea75a2856e')
version('0.5.2', sha256='9c738ec525cc76b4bb80b2b3f7c9f07507eeda3a341470e5942cda97efbe9a4f', url='https://github.com/LLNL/zfp/archive/0.5.2/zfp-0.5.2.tar.gz')
version('0.5.1', sha256='f255dd1708c9ae4dc6a56dd2614e8b47a10d833c87fd349cbd47545a19c2b779', url='https://github.com/LLNL/zfp/archive/0.5.1/zfp-0.5.1.tar.gz')
# Build targets
# TODO: variant('utilities', default=True, description='Build utilities')
variant('shared', default=True, description='Build shared libraries')
# Language bindings
variant('c', default=False, description='Enable C bindings')
variant('python', default=False, description='Enable Python bindings')
variant('fortran', default=False, description='Enable Fortran bindings')
# Execution policies
variant('openmp', default=False, description='Enable OpenMP execution')
variant('cuda', default=False, description='Enable CUDA execution')
# Advanced options
variant('bsws', default='64', values=('8', '16', '32', '64'), multi=False,
description='Bit stream word size: '
'use smaller for finer rate granularity. '
'Use 8 for H5Z-ZFP filter.')
variant('strided', default=False,
description='Enable strided access for progressive zfp streams')
variant('aligned', default=False,
description='Enable aligned memory allocation')
variant('twoway', default=False,
description='Use two-way skew-associative cache')
variant('fasthash', default=False,
description='Use a faster but more collision prone hash function')
variant('profile', default=False,
description='Count cache misses')
# Conflicts
conflicts('+c', when='@:0.5.3',
msg='+c requires zfp 0.5.4 or later')
conflicts('+python', when='@:0.5.4',
msg='+python requires zfp 0.5.5 or later')
conflicts('+fortran', when='@:0.5.4',
msg='+fortran requires zfp 0.5.5 or later')
conflicts('+openmp', when='@:0.5.2',
msg='+openmp requires zfp 0.5.3 or later')
conflicts('+cuda', when='@:0.5.3',
msg='+cuda requires zfp 0.5.4 or later')
conflicts('+fasthash', when='@:0.5.1',
msg='+fasthash requires zfp 0.5.2 or later')
conflicts('+profile', when='@:0.5.1',
msg='+profile requires zfp 0.5.2 or later')
# Dependencies
depends_on('cmake@3.4.0:', type='build')
depends_on('cuda@7:', type=('build', 'test', 'run'), when='+cuda')
depends_on('python', type=('build', 'test', 'run'), when='+python')
depends_on('py-numpy', type=('build', 'test', 'run'), when='+python')
depends_on('py-cython', type='build', when='+python')
def cmake_args(self):
spec = self.spec
# CMake options
args = [
# TODO: self.define_from_variant('BUILD_UTILITIES', 'utilities'),
self.define('BUILD_TESTING', self.run_tests),
self.define_from_variant('BUILD_SHARED_LIBS', 'shared'),
self.define_from_variant('BUILD_CFP', 'c'),
self.define_from_variant('BUILD_ZFPY', 'python'),
self.define_from_variant('BUILD_ZFORP', 'fortran'),
self.define_from_variant('ZFP_WITH_OPENMP', 'openmp'),
self.define_from_variant('ZFP_WITH_CUDA', 'cuda'),
self.define('ZFP_BIT_STREAM_WORD_SIZE',
spec.variants['bsws'].value),
self.define_from_variant('ZFP_WITH_BIT_STREAM_STRIDED', 'strided'),
self.define_from_variant('ZFP_WITH_ALIGNED_ALLOC', 'aligned'),
self.define_from_variant('ZFP_WITH_CACHE_TWOWAY', 'twoway'),
self.define_from_variant('ZFP_WITH_CACHE_FAST_HASH', 'fasthash'),
self.define_from_variant('ZFP_WITH_CACHE_PROFILE', 'profile'),
]
if '+cuda' in spec:
args.append('-DCUDA_BIN_DIR={0}'.format(spec['cuda'].prefix.bin))
if not spec.satisfies('cuda_arch=none'):
cuda_arch = spec.variants['cuda_arch'].value
args.append('-DCMAKE_CUDA_FLAGS=-arch sm_{0}'.format(cuda_arch[0]))
return args
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