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from spack import *
class NetlibLapack(Package):
"""
LAPACK version 3.X is a comprehensive FORTRAN library that does
linear algebra operations including matrix inversions, least
squared solutions to linear sets of equations, eigenvector
analysis, singular value decomposition, etc. It is a very
comprehensive and reputable package that has found extensive
use in the scientific community.
"""
homepage = "http://www.netlib.org/lapack/"
url = "http://www.netlib.org/lapack/lapack-3.5.0.tgz"
version('3.6.0', 'f2f6c67134e851fe189bb3ca1fbb5101')
version('3.5.0', 'b1d3e3e425b2e44a06760ff173104bdf')
version('3.4.2', '61bf1a8a4469d4bdb7604f5897179478')
version('3.4.1', '44c3869c38c8335c2b9c2a8bb276eb55')
version('3.4.0', '02d5706ec03ba885fc246e5fa10d8c70')
version('3.3.1', 'd0d533ec9a5b74933c2a1e84eedc58b4')
variant('shared', default=False, description="Build shared library version")
# virtual dependency
provides('lapack')
# blas is a virtual dependency.
depends_on('blas')
depends_on('cmake')
# Doesn't always build correctly in parallel
parallel = False
@when('^netlib-blas')
def get_blas_libs(self):
blas = self.spec['netlib-blas']
return [join_path(blas.prefix.lib, 'blas.a')]
@when('^atlas')
def get_blas_libs(self):
blas = self.spec['atlas']
return [join_path(blas.prefix.lib, l)
for l in ('libf77blas.a', 'libatlas.a')]
def install(self, spec, prefix):
blas_libs = ";".join(self.get_blas_libs())
cmake_args = [".", '-DBLAS_LIBRARIES=' + blas_libs]
if '+shared' in spec:
cmake_args.append('-DBUILD_SHARED_LIBS=ON')
cmake_args += std_cmake_args
cmake(*cmake_args)
make()
make("install")
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