From f694f9d19f1225284b7dbeebd64bfe5a40c3bb75 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ruth=20Sch=C3=B6bel?= <r.schoebel@fz-juelich.de>
Date: Mon, 6 Mar 2023 15:57:55 +0100
Subject: [PATCH] add petsc4py and SLEPc
---
...sc4py-3.18.5-gspmkl-2022a-Python-3.10.4.eb | 28 +++++++++++++++++++
.../s/SLEPc/SLEPc-3.18.2-gpsmkl-2022a.eb | 28 +++++++++++++++++++
2 files changed, 56 insertions(+)
create mode 100644 Golden_Repo/p/PETSc/petsc4py-3.18.5-gspmkl-2022a-Python-3.10.4.eb
create mode 100644 Golden_Repo/s/SLEPc/SLEPc-3.18.2-gpsmkl-2022a.eb
diff --git a/Golden_Repo/p/PETSc/petsc4py-3.18.5-gspmkl-2022a-Python-3.10.4.eb b/Golden_Repo/p/PETSc/petsc4py-3.18.5-gspmkl-2022a-Python-3.10.4.eb
new file mode 100644
index 000000000..8d5615b6b
--- /dev/null
+++ b/Golden_Repo/p/PETSc/petsc4py-3.18.5-gspmkl-2022a-Python-3.10.4.eb
@@ -0,0 +1,28 @@
+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'
diff --git a/Golden_Repo/s/SLEPc/SLEPc-3.18.2-gpsmkl-2022a.eb b/Golden_Repo/s/SLEPc/SLEPc-3.18.2-gpsmkl-2022a.eb
new file mode 100644
index 000000000..f9fc0d6ca
--- /dev/null
+++ b/Golden_Repo/s/SLEPc/SLEPc-3.18.2-gpsmkl-2022a.eb
@@ -0,0 +1,28 @@
+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'
--
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