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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
26 lines
585 B
Plaintext
26 lines
585 B
Plaintext
# IT4Innovations 2019
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easyblock = "PythonPackage"
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name = 'pandas'
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version = '0.23.4'
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homepage = 'https://pypi.python.org/pypi/pandas'
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description = 'Powerful data structures for data analysis, time series,and statistics.'
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toolchain = {'name': 'Py', 'version': '2.7'}
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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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('numpy', '1.13.3'),
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('pytz', '2018.9'),
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('python-dateutil', '2.6.1'),
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]
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sanity_check_paths = {
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'files': [],
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'dirs': ['lib/python2.7/site-packages/%(name)s-%(version)s-py2.7-linux-x86_64.egg'], }
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moduleclass = 'python'
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