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new file: h/Hypre/Hypre-2.18.2-intel-2020a.eb
new file: n/numba/numba-0.48.0-Py-3.7.eb modified: p/PETSc/PETSc-3.12.4-intel-2020a.eb new file: p/petsc4py/petsc4py-3.12.0-Py-3.7.eb new file: p/pybind11/pybind11-2.4.3-Py-3.7.eb new file: s/SLEPc/SLEPc-3.12.2-intel-2020a.eb new file: s/scipy/scipy-1.4.1-Py-3.7.eb modified: s/slepc4py/slepc4py-3.12.0-Py-3.7.eb
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h/Hypre/Hypre-2.18.2-intel-2020a.eb
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h/Hypre/Hypre-2.18.2-intel-2020a.eb
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# IT4Innovations 2020
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name = 'Hypre'
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version = '2.18.2'
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homepage = 'https://computation.llnl.gov/projects/hypre-scalable-linear-solvers-multigrid-methods'
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description = """Hypre is a library for solving large, sparse linear systems of equations on massively
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parallel computers. The problems of interest arise in the simulation codes being developed at LLNL
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and elsewhere to study physical phenomena in the defense, environmental, energy, and biological sciences."""
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toolchain = {'name': 'intel', 'version': '2020a'}
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toolchainopts = {'pic': True}
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source_urls = ['https://github.com/hypre-space/hypre/archive/']
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sources = ['v%(version)s.tar.gz']
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checksums = ['28007b5b584eaf9397f933032d8367788707a2d356d78e47b99e551ab10cc76a']
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start_dir = 'src'
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moduleclass = 'numlib'
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n/numba/numba-0.48.0-Py-3.7.eb
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n/numba/numba-0.48.0-Py-3.7.eb
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# IT4Innovations 2020
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easyblock = 'PythonBundle'
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name = 'numba'
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version = '0.48.0'
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homepage = 'https://numba.pydata.org/'
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description = """Numba is an Open Source NumPy-aware optimizing compiler for
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Python sponsored by Continuum Analytics, Inc. It uses the remarkable LLVM
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compiler infrastructure to compile Python syntax to machine code."""
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toolchain = {'name': 'Py', 'version': '3.7'}
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toolchainopts = {'pic': True}
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dependencies = [
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('numpy', '1.8.1'),
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('scipy', '1.4.1'),
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('LLVM', '8.0.1'),
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]
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use_pip = True
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sanity_pip_check = True
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exts_default_options = {'source_urls': [PYPI_SOURCE]}
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exts_list = [
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('llvmlite', '0.31.0', {
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'patches': ['llvmlite-0.31.0_fix-ffi-Makefile.patch'],
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'preinstallopts': "export LLVM_CONFIG=${EBROOTLLVM}/bin/llvm-config && ",
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'checksums': [
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'22ab2b9d7ec79fab66ac8b3d2133347de86addc2e2df1b3793e523ac84baa3c8', # llvmlite-0.31.0.tar.gz
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# llvmlite-0.31.0_fix-ffi-Makefile.patch
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'672aba7b753dcfe5cb07c731bf1ec8bde1de148d4e0e2d10f6be81fb17f34bbc',
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],
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}),
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(name, version, {
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'checksums': ['c0703df0a0ea2e29fbef7937d9849cc4734253066cb5820c5d6e0851876e3b0a'],
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}),
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]
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fix_python_shebang_for = ['bin/*']
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sanity_check_paths = {
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'files': ['bin/numba', 'bin/pycc'],
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'dirs': ['lib/python%(pyshortver)s/site-packages'],
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}
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sanity_check_commands = ["numba --help"]
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moduleclass = 'lang'
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'64cf9d5008d5e92117e65bdec5316d991b6a6b8c8ecf7ea46eb790a498266297', # PETSc_ranlib-fix.patch
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]
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builddependencies = [('CMake', '3.16.2')]
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builddependencies = [('CMake', '3.16.2', '', True)]
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dependencies = [
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('Boost', '1.72.0'),
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p/petsc4py/petsc4py-3.12.0-Py-3.7.eb
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p/petsc4py/petsc4py-3.12.0-Py-3.7.eb
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# IT4Innovations 2020
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easyblock = "PythonPackage"
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name = "petsc4py"
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version = "3.12.0"
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homepage = 'https://code.google.com/p/petsc4py/'
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description = """petsc4py are Python bindings for PETSc, the Portable, Extensible Toolchain for Scientific Computation."""
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toolchain = {'name': 'Py', 'version': '3.7'}
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source_urls = [PYPI_SOURCE]
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sources = [SOURCE_TAR_GZ]
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dependencies = [
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('PETSc', '3.12.4', '', ('intel', '2020a')),
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('numpy', '1.18.1'),
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]
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sanity_check_commands = ["python -c 'from petsc4py import PETSc'"]
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sanity_check_paths = {
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'files': [],
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'dirs': ['lib/python3.7/site-packages/%(name)s']
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}
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moduleclass = 'tools'
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p/pybind11/pybind11-2.4.3-Py-3.7.eb
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p/pybind11/pybind11-2.4.3-Py-3.7.eb
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# IT4Innovations 2020
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easyblock = "PythonPackage"
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name = 'pybind11'
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version = '2.4.3'
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homepage = 'https://pypi.python.org/pypi/pybind11'
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description = 'pybind11 is a lightweight header-only library that exposes C++ types in Python and vice versa, mainly to create Python bindings of existing C++ code.'
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toolchain = {'name': 'Py', 'version': '3.7'}
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source_urls = [PYPI_SOURCE]
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sources = [SOURCE_TAR_GZ]
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sanity_check_paths = {
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'dirs': [],
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'files': ['lib/python3.7/site-packages/%(name)s-%(version)s-py3.7.egg'],
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}
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moduleclass = 'python'
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s/SLEPc/SLEPc-3.12.2-intel-2020a.eb
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s/SLEPc/SLEPc-3.12.2-intel-2020a.eb
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# IT4Innovations 2020
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name = 'SLEPc'
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version = '3.12.2'
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homepage = 'https://slepc.upv.es/'
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description = """SLEPc (Scalable Library for Eigenvalue Problem Computations) is a software library for the solution
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of large scale sparse eigenvalue problems on parallel computers. It is an extension of PETSc and can be used for
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either standard or generalized eigenproblems, with real or complex arithmetic. It can also be used for computing a
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partial SVD of a large, sparse, rectangular matrix, and to solve quadratic eigenvalue problems."""
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toolchain = {'name': 'intel', 'version': '2020a'}
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toolchainopts = {'usempi': True, 'openmp': True}
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source_urls = ['https://slepc.upv.es/download/distrib']
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sources = [SOURCELOWER_TAR_GZ]
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checksums = ['a586ce572a928ed87f04961850992a9b8e741677397cbaa3fb028323eddf4598']
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dependencies = [('PETSc', '3.12.4')]
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petsc_arch = 'installed-arch-linux2-c-opt'
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moduleclass = 'numlib'
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s/scipy/scipy-1.4.1-Py-3.7.eb
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s/scipy/scipy-1.4.1-Py-3.7.eb
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# IT4Innovations 2020
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easyblock = 'PythonPackage'
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name = 'scipy'
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version = '1.4.1'
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homepage = 'http://scipy.org'
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description = """SciPy (pronounced 'Sigh Pie') is open-source software for mathematics, science, and engineering.
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It includes modules for statistics, optimization, integration, linear algebra, Fourier transforms, signal and
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image processing, ODE solvers, and more."""
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toolchain = {'name': 'Py', 'version': '3.7'}
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toolchainopts = {'pic': True}
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source_urls = [PYPI_SOURCE]
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sources = [SOURCELOWER_TAR_GZ]
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dependencies = [
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('numpy', '1.18.1'),
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('pybind11', '2.4.3'),
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('mkl', '2019.5.281', '', True),
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]
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prebuildopts = 'unset LDFLAGS && '
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sanity_check_paths = {'files': [], 'dirs': [
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'lib/python3.7/site-packages/%(name)s-%(version)s-py3.7-linux-x86_64.egg/scipy'], }
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sanity_check_commands = [
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('python', '-c "import scipy; assert(scipy.__version__ == \'%(version)s\')"')]
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moduleclass = 'python'
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source_urls = [PYPI_SOURCE]
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sources = [SOURCE_TAR_GZ]
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#dependencies = [
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# ('MarkupSafe', '1.0'),
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#]
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dependencies = [
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('SLEPc', '3.12.2', '', ('intel', '2020a')),
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('petsc4py', '3.12.0'),
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]
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sanity_check_paths = {
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'files': [],
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'dirs': ['lib/python3.7/site-packages/%(name)s-%(version)s-py3.7.egg'],
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'dirs': ['lib/python3.7/site-packages/%(name)s'],
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}
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moduleclass = 'python'
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