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new file: a/alchemlyb/alchemlyb-0.1.0-Py-2.7.eb new file: g/gperftools/gperftools-2.7.eb new file: h/HDF5/HDF5-1.10.4-gompi-2019.02-parallel.eb new file: h/HDF5/HDF5-1.10.4-intel-2018a-parallel.eb new file: h/h5py/h5py-2.9.0-intel-2018a-Py-2.7.eb new file: l/LAMMPS/LAMMPS-20181212-intel-2017c.eb new file: m/mpi4py/mpi4py-3.0.0-intel-2018a-Py-2.7.eb new file: p/pandas/pandas-0.23.4-Py-2.7.eb new file: p/pkgconfig/pkgconfig-1.3.1-intel-2018a-Py-2.7.eb new file: p/pmx/pmx-20190115-Py-2.7.eb new file: p/pymbar/pymbar-3.0.3-Py-2.7.eb new file: p/pytz/pytz-2018.9-Py-2.7.eb modified: q/QMCPACK/QMCPACK-3.6.0-intel-2018a.eb new file: s/scikit-learn/scikit-learn-0.20.2-Py-2.7.eb new file: t/tbb/tbb-2018_U5-intel-2017c.eb modified: x/X11/X11-20170314.eb
36 lines
1.1 KiB
Plaintext
36 lines
1.1 KiB
Plaintext
# IT4Innovations 2019
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easyblock = 'PythonPackage'
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name = 'h5py'
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version = '2.9.0'
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versionsuffix = '-Py-2.7'
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homepage = 'http://www.h5py.org/'
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description = """HDF5 for Python (h5py) is a general-purpose Python interface to the Hierarchical Data Format library,
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version 5. HDF5 is a versatile, mature scientific software library designed for the fast, flexible storage of enormous
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amounts of data."""
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toolchain = {'name': 'intel', 'version': '2018a'}
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toolchainopts = {'usempi': True}
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source_urls = ['https://files.pythonhosted.org/packages/43/27/a6e7dcb8ae20a4dbf3725321058923fec262b6f7835179d78ccc8d98deec/']
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sources = ['h5py-2.9.0.tar.gz']
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dependencies = [
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('HDF5', '1.10.4', '-parallel'),
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('numpy', '1.15.4', '-Py-2.7', True),
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('mpi4py', '3.0.0', '-Py-2.7'), # required for MPI support
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('six', '1.11.0', '-Py-2.7', True),
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('pkgconfig', '1.3.1', '-Py-2.7'),
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('Cython', '0.27.3', '-Py-2.7', True),
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]
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prebuildopts = 'python setup.py configure --mpi --hdf5=$EBROOTHDF5 && '
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sanity_check_paths = {
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'files': [],
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'dirs': ['lib/python2.7/site-packages/h5py-2.9.0-py2.7-linux-x86_64.egg'],
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}
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moduleclass = 'python'
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