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Commit 47412d27 authored by Sebastian Achilles's avatar Sebastian Achilles
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add SciPy-bundle-2022.05-gcccoremkl-11.3.0-2022.2.0.eb

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name = 'Eigen'
version = '3.4.0'
homepage = 'https://eigen.tuxfamily.org'
description = """Eigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers,
and related algorithms."""
# only includes header files, but requires CMake so using non-system toolchain
toolchain = {'name': 'GCCcore', 'version': '11.3.0'}
source_urls = ['https://gitlab.com/libeigen/eigen/-/archive/%(version)s']
sources = [SOURCELOWER_TAR_BZ2]
checksums = ['b4c198460eba6f28d34894e3a5710998818515104d6e74e5cc331ce31e46e626']
# using CMake built with GCCcore to avoid relying on the system compiler to build it
builddependencies = [
('binutils', '2.38'), # to make CMake compiler health check pass on old systems
('CMake', '3.23.1'),
]
moduleclass = 'math'
easyblock = "Toolchain"
local_mklver = '2022.1.0'
local_comp_version = '11.3.0'
name = 'gcccoremkl'
version = '%s-%s' % (local_comp_version, local_mklver)
homepage = '(none)'
description = """GCCcore compiler toolchain with MKL"""
toolchain = SYSTEM
local_comp_name = 'GCCcore'
local_comp = (local_comp_name, local_comp_version)
# compiler toolchain dependencies
dependencies = [
local_comp,
('binutils', '2.38', '', local_comp),
('imkl', local_mklver, '', SYSTEM),
]
moduleclass = 'toolchain'
easyblock = 'PythonPackage'
name = 'hypothesis'
version = '6.46.7'
homepage = "https://github.com/HypothesisWorks/hypothesis"
description = """Hypothesis is an advanced testing library for Python. It lets you write tests which are parametrized
by a source of examples, and then generates simple and comprehensible examples that make your tests fail. This lets
you find more bugs in your code with less work."""
toolchain = {'name': 'GCCcore', 'version': '11.3.0'}
sources = [SOURCE_TAR_GZ]
checksums = ['967009fa561b3a3f8363a73d71923357271c37dc7fa27b30c2d21a1b6092b240']
builddependencies = [('binutils', '2.38')]
dependencies = [('Python', '3.10.4')]
use_pip = True
download_dep_fail = True
sanity_pip_check = True
moduleclass = 'tools'
name = 'pybind11'
version = '2.9.2'
homepage = 'https://pybind11.readthedocs.io'
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."""
toolchain = {'name': 'GCCcore', 'version': '11.3.0'}
source_urls = ['https://github.com/pybind/pybind11/archive/']
sources = ['v%(version)s.tar.gz']
checksums = ['6bd528c4dbe2276635dc787b6b1f2e5316cf6b49ee3e150264e455a0d68d19c1']
builddependencies = [
('binutils', '2.38'),
('CMake', '3.23.1'),
('Eigen', '3.4.0'),
]
dependencies = [('Python', '3.10.4')]
configopts = "-DPYTHON_EXECUTABLE=$EBROOTPYTHON/bin/python"
moduleclass = 'lib'
easyblock = 'PythonBundle'
name = 'SciPy-bundle'
version = '2022.05'
homepage = 'https://python.org/'
description = "Bundle of Python packages for scientific software"
toolchain = {'name': 'gcccoremkl', 'version': '11.3.0-2022.1.0'}
toolchainopts = {'pic': True, 'lowopt': True}
builddependencies = [
('hypothesis', '6.46.7'),
('UnZip', '6.0'),
]
dependencies = [
('Python', '3.10.4'),
('pybind11', '2.9.2'), # required by scipy
]
use_pip = True
# order is important!
exts_list = [
('numpy', '1.22.3', {
'patches': [
'numpy-1.18.2-mkl.patch',
'numpy-1.20.3_disable_fortran_callback_test.patch',
'numpy-1.22.3_disable-broken-override-test.patch',
'%(name)s-%(version)s_skip-ppc-long-complex-test.patch',
],
'sources': ['%(name)s-%(version)s.zip'],
'checksums': [
'63571bb7897a584ca3249c86dd01c10bcb5fe4296e3568b2e9c1a55356b6410e', # numpy-1.21.3.zip
# numpy-1.18.2-mkl.patch
'dbc7601a3b7472d559dc7b933b18b4b66f9aa7452c120e87dfb33d02008c8a18', # numpy-1.22.3.zip
# numpy-1.20.3_disable_fortran_callback_test.patch
'44975a944544fd0e771b7e63c32590d257a3713070f8f7fdf60105dc516f1d75',
# numpy-1.22.3_disable-broken-override-test.patch
'9c589bb073b28b25ff45eb3c63c57966aa508dd8b318d0b885b6295271e4983c',
# numpy-1.22.3_skip-ppc-long-complex-test.patch
'058c8128b9f7158b4d5bedb2f52ccc7e1362b99c352c3d10335f98a6194c880e',
],
}),
('ply', '3.11', {
'checksums': ['00c7c1aaa88358b9c765b6d3000c6eec0ba42abca5351b095321aef446081da3'],
}),
('gast', '0.5.3', {
'checksums': ['cfbea25820e653af9c7d1807f659ce0a0a9c64f2439421a7bba4f0983f532dea'],
}),
('beniget', '0.4.1', {
'checksums': ['75554b3b8ad0553ce2f607627dad3d95c60c441189875b98e097528f8e23ac0c'],
}),
('pythran', '0.11.0', {
'checksums': ['0b2cba712e09f7630879dff69f268460bfe34a6d6000451b47d598558a92a875'],
}),
('scipy', '1.8.1', {
# compilation with Pythran enabled fails when using Intel compilers,
# see https://github.com/scipy/scipy/issues/14935
'prebuildopts': "export SCIPY_USE_PYTHRAN=0 && ",
'preinstallopts': "export SCIPY_USE_PYTHRAN=0 && ",
'checksums': ['9e3fb1b0e896f14a85aa9a28d5f755daaeeb54c897b746df7a55ccb02b340f33'],
}),
# ('mpi4py', '3.1.3', {
# 'checksums': ['f1e9fae1079f43eafdd9f817cdb3fd30d709edc093b5d5dada57a461b2db3008'],
# }),
('numexpr', '2.8.1', {
'checksums': ['cd779aa44dd986c4ef10163519239602b027be06a527946656207acf1f58113b'],
}),
('Bottleneck', '1.3.4', {
'checksums': ['1764a7f4ad58c558723c542847eb367ab0bbb6d880a4e5d5eef30a0ece5cecea'],
}),
('pandas', '1.4.2', {
'preinstallopts': """sed -i 's@extra_compile_args = \["-Werror"\]@extra_compile_args = []@g' setup.py && """,
'checksums': ['92bc1fc585f1463ca827b45535957815b7deb218c549b7c18402c322c7549a12'],
}),
('mpmath', '1.2.1', {
'checksums': ['79ffb45cf9f4b101a807595bcb3e72e0396202e0b1d25d689134b48c4216a81a'],
}),
('deap', '1.3.1', {
'patches': ['deap-1.3.1_no_2to3.patch'],
'checksums': [
'11f54493ceb54aae10dde676577ef59fc52d52f82729d5a12c90b0813c857a2f', # deap-1.3.1.tar.gz
'3fa9fac74b0750ac6667371ce0634c797d62d270c76eee9c258b55f4a5a5e689', # deap-1.3.1_no_2to3.patch
],
}),
]
sanity_pip_check = True
moduleclass = 'lang'
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