add petsc4py and SLEPc

Golden_Repo/p/PETSc/petsc4py-3.18.5-gspmkl-2022a-Python-3.10.4.eb

+easyblock = 'PythonPackage'
+
+name = 'petsc4py'
+version = '3.18.5'
+versionsuffix = '-Python-%(pyver)s'
+
+homepage = 'https://bitbucket.org/petsc/petsc4py'
+description = "petsc4py are Python bindings for PETSc, the Portable, Extensible Toolchain for Scientific Computation."
+
+toolchain = {'name': 'gpsmkl', 'version': '2022a'}
+
+source_urls = [PYPI_SOURCE]
+sources = [SOURCE_TAR_GZ]
+
+dependencies = [
+    ('Python', '3.10.4'),
+    ('SciPy-Stack', '2022a', '', ('gcccoremkl', '11.3.0-2022.1.0')),
+    ('PETSc', '3.18.5'),
+]
+
+download_dep_fail = True
+
+sanity_check_paths = {
+    'files': [],
+    'dirs': ['lib/python%(pyshortver)s/site-packages'],
+}
+
+moduleclass = 'tools'

Golden_Repo/s/SLEPc/SLEPc-3.18.2-gpsmkl-2022a.eb

+name = 'SLEPc'
+
+version = '3.18.2'
+
+homepage = 'http://slepc.upv.es/'
+
+description = """SLEPc (Scalable Library for Eigenvalue Problem Computations) is a software library for the solution 
+of large scale sparse eigenvalue problems on parallel computers. It is an extension of PETSc and can be used for 
+either standard or generalized eigenproblems, with real or complex arithmetic. It can also be used for computing a 
+partial SVD of a large, sparse, rectangular matrix, and to solve quadratic eigenvalue problems."""
+examples = 'Examples can be found in $EBROOTSLEPC/share/slepc/examples/'
+
+toolchain = {'name': 'gpsmkl', 'version': '2022a'}
+toolchainopts = {'usempi': True, 'openmp': True}
+source_urls = ['http://slepc.upv.es/download/distrib']
+sources = [SOURCELOWER_TAR_GZ]
+
+dependencies = [('PETSc', '3.18.5')]
+petsc_arch = 'installed-arch-linux2-c-opt'
+
+modextravars = {
+    'SLEPc_ROOT': '%(installdir)s',
+    'SLEPcROOT': '%(installdir)s',
+    'SLEPc_INCLUDE': '%(installdir)s/include/',
+    'SLEPc_LIB': '%(installdir)s/lib',
+}
+
+moduleclass = 'numlib'