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	modified:   p/PETSc/PETSc-3.14.4-intel-2020b.eb
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	modified:   p/phonopy/phonopy-2.12.0-conda.eb
	modified:   q/QMCPACK/QMCPACK-3.11.0-intel-2020b-Python-3.8.6.eb
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	new file:   t/Tensorflow/TensorFlow-2.5.0-fosscuda-2020b.eb
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	new file:   y/Yambo/Yambo-5.0.4-intel-2020a.eb
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easyblock = 'PythonPackage'
name = 'h5py'
version = '3.6.0'
homepage = 'https://www.h5py.org/'
description = """HDF5 for Python (h5py) is a general-purpose Python interface to the Hierarchical Data Format library,
version 5. HDF5 is a versatile, mature scientific software library designed for the fast, flexible storage of enormous
amounts of data."""
toolchain = {'name': 'intel', 'version': '2021b'}
toolchainopts = {'usempi': True}
sources = [SOURCE_TAR_GZ]
checksums = ['8752d2814a92aba4e2b2a5922d2782d0029102d99caaf3c201a566bc0b40db29']
builddependencies = [('pkgconfig', '1.5.5', '-python')]
dependencies = [
('Python', '3.9.6'),
('SciPy-bundle', '2021.05', '', ('foss', '2021a')),
('HDF5', '1.12.1', '', ('iimpi', '2021b')),
]
use_pip = True
sanity_pip_check = True
download_dep_fail = True
# h5py's setup.py will disable setup_requires if H5PY_SETUP_REQUIRES is set to 0
# without this environment variable, pip will fetch the minimum numpy version h5py supports during install,
# even though SciPy-bundle provides a newer version that satisfies h5py's install_requires dependency.
preinstallopts = 'HDF5_MPI=ON HDF5_DIR="$EBROOTHDF5" H5PY_SETUP_REQUIRES=0 '
moduleclass = 'data'