Commit 8b89984d authored by Lukáš Krupčík's avatar Lukáš Krupčík
Browse files

Merge branch 'it4i-barbora'

parents 261cb708 55abba34
# 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']
configopts = 'CC="$CC"'
sanity_check_paths = {
'files': ['bin/bee', 'lib/libbeef.a'],
'dirs': [],
}
moduleclass = 'chem'
# IT4Innovations 2020
# LK
easyblock = 'ConfigureMake'
name = 'BEEF'
version = '0.1.1'
homepage = 'http://suncat.stanford.edu/facility/software/functional'
description = """BEEF is a library-based implementation of the Bayesian
Error Estimation Functional, suitable for linking against by Fortran-
or C-based DFT codes. A description of BEEF can be found at
http://dx.doi.org/10.1103/PhysRevB.85.235149."""
toolchain = {'name': 'intel', 'version': '2019a'}
toolchainopts = {'openmp': False, 'usempi': False}
source_urls = ['https://confluence.slac.stanford.edu/download/attachments/146704476']
sources = ['libbeef-%(version)s.tar.gz']
configopts = 'CC="$CC"'
sanity_check_paths = {
'files': ['bin/bee', 'lib/libbeef.a'],
'dirs': [],
}
moduleclass = 'chem'
# 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': '2018a'}
toolchainopts = {'openmp': False, 'usempi': False}
source_urls = ['https://confluence.slac.stanford.edu/download/attachments/146704476']
sources = ['libbeef-%(version)s.tar.gz']
configopts = 'CC="$CC"'
sanity_check_paths = {
'files': ['bin/bee', 'lib/libbeef.a'],
'dirs': [],
}
moduleclass = 'chem'
# IT4Innovations 2020
# !!! --include-easyblocks /apps/easybuild/it4i-easyblocks/easyblocks/a/allineabase.py !!!
# LK
easyblock = 'AllineaBase'
name = 'Forge'
......@@ -25,7 +27,8 @@ sources = ['arm-forge-20.1.1-Redhat-7.0-x86_64.tar']
skipsteps = ['configure', 'build']
postinstallcmds = [
'ln -s /apps/licenses/Allinea/Licence %(installdir)s/licences/Licence',
'ln -s /apps/licenses/Arm/Licence %(installdir)s/licences/Licence.16312',
'ln -s /apps/licenses/PerformanceReports/Licence %(installdir)s/licences/Licence.16313',
]
sanity_check_paths = {
......
# JH 2020
easyblock = 'CMakeMake'
name = 'TRIQS-hubbardI'
version = '3.0.0'
versionsuffix = '-Python-%(pyver)s'
homepage = 'https://triqs.github.io/hubbardI'
description = """
TRIQS (Toolbox for Research on Interacting Quantum Systems) is a
scientific project providing a set of C++ and Python libraries to
develop new tools for the study of interacting quantum systems.
hubbardI = An application using TRIQS to implement a Hubbard-I solver.
"""
docurls = ['https://triqs.github.io/hubbardI/%(version_major_minor)s.x/']
software_license = 'LicenseGPLv3'
toolchain = {'name': 'foss', 'version': '2020a'}
toolchainopts = {'pic': True, 'usempi': True}
source_urls = ['https://github.com/TRIQS/hubbardI/archive']
sources = ['%(version)s.tar.gz']
dependencies = [
('Python', '3.8.2'),
('TRIQS', '3.0.0', versionsuffix),
('NFFT', '3.5.2')
]
builddependencies = [
('CMake', '3.16.4')
]
separate_build_dir = True
runtest = 'test'
sanity_check_paths = {
'files': [],
'dirs': ['lib', 'lib/python%(pyshortver)s/site-packages', 'share'],
}
sanity_check_commands = ["python -c 'import triqs_hubbardI'"]
modextrapaths = {
'PYTHONPATH': 'lib/python%(pyshortver)s/site-packages',
'CMAKE_PREFIX_PATH': 'lib/cmake/triqs_hubbardI',
}
modextravars = {
'TRIQS_HUBBARDI_ROOT': '%(installdir)s',
'TRIQS_HUBBARDI_VERSION': '%(version)s',
}
moduleclass = 'phys'
Supports Markdown
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment