new file: archive/f/Forge/Forge-18.2.3.eb

new file:   archive/f/Forge/Forge-19.1.1.eb
	new file:   archive/f/Forge/Forge-5.1-43967.eb
	new file:   archive/f/Forge/Forge-6.1.2.eb
	new file:   archive/f/Forge/Forge-7.0.0.eb
	new file:   archive/f/Forge/Forge-7.0.1.eb
	new file:   archive/f/Forge/Forge-7.0.2.eb
	new file:   archive/f/Forge/Forge-7.0.3.eb
	new file:   archive/f/Forge/Forge-7.0.4.eb
	new file:   archive/f/Forge/Forge-7.0.5.eb
	new file:   archive/f/Forge/Forge-7.0.6.eb
	new file:   archive/f/Forge/Forge-7.1.eb
	new file:   b/BEEF/BEEF-0.1.1-intel-2018a.eb
	new file:   b/BEEF/BEEF-0.1.1-intel-2019a.eb
	new file:   b/BEEF/BEEF-0.1.1-intel-2020.eb
	modified:   f/Forge/Forge-20.1.1.eb
	new file:   t/TRIQS-hubbardI/TRIQS-hubbardI-3.0.0-foss-2020a-Python-3.8.2.eb
	deleted:    f/Forge/Forge-18.2.3.eb
	deleted:    f/Forge/Forge-19.1.1.eb
	deleted:    f/Forge/Forge-5.1-43967.eb
	deleted:    f/Forge/Forge-6.1.2.eb
	deleted:    f/Forge/Forge-7.0.0.eb
	deleted:    f/Forge/Forge-7.0.1.eb
	deleted:    f/Forge/Forge-7.0.2.eb
	deleted:    f/Forge/Forge-7.0.3.eb
	deleted:    f/Forge/Forge-7.0.4.eb
	deleted:    f/Forge/Forge-7.0.5.eb
	deleted:    f/Forge/Forge-7.0.6.eb
	deleted:    f/Forge/Forge-7.1.eb

b/BEEF/BEEF-0.1.1-intel-2018a.eb

@@ -0,0 +1,28 @@
+# 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'

b/BEEF/BEEF-0.1.1-intel-2019a.eb

@@ -0,0 +1,28 @@
+# 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'

b/BEEF/BEEF-0.1.1-intel-2020.eb

@@ -0,0 +1,28 @@
+# 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'

f/Forge/Forge-20.1.1.eb

@@ -1,5 +1,7 @@
 # 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 = {

t/TRIQS-hubbardI/TRIQS-hubbardI-3.0.0-foss-2020a-Python-3.8.2.eb

@@ -0,0 +1,57 @@
+# 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'