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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
24 lines
623 B
Plaintext
24 lines
623 B
Plaintext
# IT4Innovations 2019
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name = 'HDF5'
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version = '1.10.4'
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versionsuffix = '-parallel'
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homepage = 'http://www.hdfgroup.org/HDF5/'
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description = """HDF5 is a unique technology suite that makes possible the management of
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extremely large and complex data collections."""
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toolchain = {'name': 'intel', 'version': '2018a'}
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toolchainopts = {'pic': True, 'usempi': True}
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source_urls = [
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'https://support.hdfgroup.org/ftp/HDF5/releases/hdf5-%(version_major_minor)s/hdf5-%(version)s/src']
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sources = [SOURCELOWER_TAR_GZ]
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dependencies = [
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('zlib', '1.2.11', '', True),
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('Szip', '2.1', '', True),
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]
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moduleclass = 'data'
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