# IT4Innovations 2020
# LK

easyblock = 'ConfigureMake'

name = 'BEEF'
version = '0.1.1'

homepage = 'http://suncat.stanford.edu/facility/software/functional'
description = """BEEF is a library-based implementation of the Bayesian
Error Estimation Functional, suitable for linking against by Fortran-
or C-based DFT codes. A description of BEEF can be found at
http://dx.doi.org/10.1103/PhysRevB.85.235149."""

toolchain = {'name': 'intel', 'version': '2020a'}
toolchainopts = {'openmp': False, 'usempi': False}

source_urls = ['https://confluence.slac.stanford.edu/download/attachments/146704476']
sources = ['libbeef-%(version)s.tar.gz']
checksums = ['b6af622b74a4e55d637d8cd5027cfa850cf22fec53981c5732de5c40cc0a938a']

configopts = 'CC="$CC"'

sanity_check_paths = {
    'files': ['bin/bee', 'lib/libbeef.a'],
    'dirs': [],
}

moduleclass = 'chem'
