mirror of
https://code.it4i.cz/sccs/easyconfigs-it4i.git
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new file: a/alchemical-analysis/alchemical-analysis-1.0.1-Py-2.7.eb
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
This commit is contained in:
parent
f26759fbbe
commit
4ca6ab553b
25
a/alchemical-analysis/alchemical-analysis-1.0.1-Py-2.7.eb
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25
a/alchemical-analysis/alchemical-analysis-1.0.1-Py-2.7.eb
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# IT4Innovations 2019
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easyblock = 'PythonPackage'
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name = 'alchemical-analysis'
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version = '1.0.1'
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homepage = 'https://github.com/MobleyLab/alchemical-analysis'
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description = """An open tool implementing some recommended practices for analyzing alchemical free energy calculations"""
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toolchain = {'name': 'Py', 'version': '2.7'}
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source_urls = ['https://github.com/MobleyLab/alchemical-analysis/archive/']
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sources = ['v%(version)s.tar.gz']
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dependencies = [
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('pymbar', '3.0.3'),
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]
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sanity_check_paths = {
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'files': [],
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'dirs': ['bin', 'lib/python2.7/site-packages/alchemical_analysis-%(version)s-py2.7.egg/'],
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}
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moduleclass = 'python'
|
28
a/alchemlyb/alchemlyb-0.1.0-Py-2.7.eb
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a/alchemlyb/alchemlyb-0.1.0-Py-2.7.eb
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# IT4Innovations 2019
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||||
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easyblock = 'PythonPackage'
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name = 'alchemlyb'
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version = '0.1.0'
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homepage = 'https://github.com/alchemistry/alchemlyb/'
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description = """alchemlyb is an attempt to make alchemical free energy calculations easier to do by leveraging the full power and flexibility of the PyData stack"""
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toolchain = {'name': 'Py', 'version': '2.7'}
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source_urls = ['https://github.com/alchemistry/alchemlyb/archive/']
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sources = ['%(version)s.tar.gz']
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dependencies = [
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('numpy', '1.13.3'),
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('scipy', '1.0.0'),
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('pandas', '0.23.4'),
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('pymbar', '3.0.3'),
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]
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sanity_check_paths = {
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'files': [],
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'dirs': ['bin', 'lib/python2.7/site-packages/'],
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}
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moduleclass = 'python'
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36
g/gperftools/gperftools-2.7.eb
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36
g/gperftools/gperftools-2.7.eb
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# IT4Innovations 2019
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easyblock = 'ConfigureMake'
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name = 'gperftools'
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version = '2.7'
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homepage = 'http://github.com/gperftools/gperftools'
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description = """gperftools are for use by developers so that they can create more robust applications.
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Especially of use to those developing multi-threaded applications in C++ with templates.
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Includes TCMalloc, heap-checker, heap-profiler and cpu-profiler."""
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toolchain = {'name': 'dummy', 'version': ''}
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source_urls = [
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'https://github.com/gperftools/gperftools/releases/download/%(namelower)s-%(version)s']
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sources = [SOURCE_TAR_GZ]
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dependencies = [('libunwind', '1.2.1', '', True)]
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configopts = '--enable-libunwind'
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sanity_check_paths = {
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'files': [
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'bin/pprof',
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'lib/libprofiler.a',
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'lib/libprofiler.%s' %
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SHLIB_EXT,
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'lib/libtcmalloc.a',
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'lib/libtcmalloc.%s' %
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SHLIB_EXT],
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'dirs': []}
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modextrapaths = {'LD_PRELOAD': 'lib/libtcmalloc_minimal.so.4'}
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moduleclass = 'tools'
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27
h/HDF5/HDF5-1.10.4-gompi-2019.02-parallel.eb
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h/HDF5/HDF5-1.10.4-gompi-2019.02-parallel.eb
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# 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': 'gompi', 'version': '2019.02'}
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toolchainopts = {'pic': 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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configopts = " --enable-parallel --enable-shared "
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configopts += " --enable-static --enable-fortran "
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configopts += " --enable-hl --with-zlib=$EBROOTZLIB"
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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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23
h/HDF5/HDF5-1.10.4-intel-2018a-parallel.eb
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h/HDF5/HDF5-1.10.4-intel-2018a-parallel.eb
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# 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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35
h/h5py/h5py-2.9.0-intel-2018a-Py-2.7.eb
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h/h5py/h5py-2.9.0-intel-2018a-Py-2.7.eb
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# 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'
|
51
l/LAMMPS/LAMMPS-20181212-intel-2017c.eb
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51
l/LAMMPS/LAMMPS-20181212-intel-2017c.eb
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# IT4Innovations 2017
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easyblock = 'CmdCp'
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name = 'LAMMPS'
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version = '20181212'
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homepage = 'http://lammps.sandia.gov'
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description = """LAMMPS is a classical molecular dynamics code,
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and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator.
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Has potentials for solid-state materials (metals, semiconductors) and soft
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matter (biomolecules, polymers) and coarse-grained or mesoscopic systems.
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It can be used to model atoms or, more generically, as a parallel particle simulator at the atomic,
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meso, or continuum scale.
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"""
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toolchain = {'name': 'intel', 'version': '2017c'}
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source_urls = ['https://github.com/lammps/lammps/archive']
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sources = ['patch_22Jun2018.tar.gz']
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dependencies = [
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('tbb', '2017.6.196', '', True),
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('gperftools', '2.7', '', True),
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]
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builddependencies = [
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('Python', '2.7.13', '-base', True),
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('CMake', '3.5.2', '', True),
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]
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commands = "cd src && make yes-kokkos && "
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commands += "make yes-user-phonon && make yes-misc && "
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commands += "make lib-reax args='-m ifort' && make yes-reax && "
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commands += "make yes-kspace && make yes-manybody && make yes-molecule && "
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commands += "make yes-qeq && make yes-rigid && make yes-user-misc && "
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commands += "make yes-user-reaxc && make yes-user-omp && "
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commands += "make -j 16 intel_cpu_intelmpi && mv lmp_intel_cpu_intelmpi lammps"
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cmds_map = [('.*', commands)]
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files_to_copy = [
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(['src/lammps'], 'bin'),
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]
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sanity_check_paths = {
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'files': ['bin/lammps'],
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'dirs': [''],
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}
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moduleclass = 'chem'
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27
m/mpi4py/mpi4py-3.0.0-intel-2018a-Py-2.7.eb
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27
m/mpi4py/mpi4py-3.0.0-intel-2018a-Py-2.7.eb
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# IT4Innovations 2018
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||||
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||||
easyblock = 'PythonPackage'
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||||
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||||
name = 'mpi4py'
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version = '3.0.0'
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||||
versionsuffix = '-Py-2.7'
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||||
|
||||
homepage = 'http://mpi4py.scipy.org/docs'
|
||||
description = """MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for
|
||||
the Python programming language, allowing any Python program to exploit multiple processors."""
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toolchain = {'name': 'intel', 'version': '2018a'}
|
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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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('Py', '2.7', '', True),
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]
|
||||
|
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sanity_check_paths = {
|
||||
'files': [],
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||||
'dirs': ['lib/python2.7/site-packages/mpi4py'],
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||||
}
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||||
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||||
moduleclass = 'python'
|
25
p/pandas/pandas-0.23.4-Py-2.7.eb
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25
p/pandas/pandas-0.23.4-Py-2.7.eb
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# IT4Innovations 2019
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||||
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||||
easyblock = "PythonPackage"
|
||||
name = 'pandas'
|
||||
version = '0.23.4'
|
||||
|
||||
homepage = 'https://pypi.python.org/pypi/pandas'
|
||||
description = 'Powerful data structures for data analysis, time series,and statistics.'
|
||||
|
||||
toolchain = {'name': 'Py', 'version': '2.7'}
|
||||
|
||||
source_urls = [PYPI_SOURCE]
|
||||
sources = [SOURCE_TAR_GZ]
|
||||
|
||||
dependencies = [
|
||||
('numpy', '1.13.3'),
|
||||
('pytz', '2018.9'),
|
||||
('python-dateutil', '2.6.1'),
|
||||
]
|
||||
|
||||
sanity_check_paths = {
|
||||
'files': [],
|
||||
'dirs': ['lib/python2.7/site-packages/%(name)s-%(version)s-py2.7-linux-x86_64.egg'], }
|
||||
|
||||
moduleclass = 'python'
|
29
p/pkgconfig/pkgconfig-1.3.1-intel-2018a-Py-2.7.eb
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29
p/pkgconfig/pkgconfig-1.3.1-intel-2018a-Py-2.7.eb
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||||
# IT4Innovations 2019
|
||||
|
||||
easyblock = 'PythonPackage'
|
||||
|
||||
name = 'pkgconfig'
|
||||
version = '1.3.1'
|
||||
versionsuffix = '-Py-2.7'
|
||||
|
||||
homepage = 'http://github.com/matze/pkgconfig'
|
||||
description = """pkgconfig is a Python module to interface with the pkg-config command line tool"""
|
||||
|
||||
toolchain = {'name': 'intel', 'version': '2018a'}
|
||||
toolchainopts = {'usempi': True}
|
||||
|
||||
source_urls = [PYPI_SOURCE]
|
||||
sources = [SOURCE_TAR_GZ]
|
||||
checksums = ['0bc77e955a5990b466b7277234a88dc6a62f1f4388ac1e95469051c82a17fd80']
|
||||
|
||||
dependencies = [
|
||||
('Py', '2.7', '', True),
|
||||
('pkg-config', '0.29.2', '', True),
|
||||
]
|
||||
|
||||
sanity_check_paths = {
|
||||
'files': [],
|
||||
'dirs': ['lib/python2.7/site-packages/'],
|
||||
}
|
||||
|
||||
moduleclass = 'devel'
|
27
p/pmx/pmx-20190115-Py-2.7.eb
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27
p/pmx/pmx-20190115-Py-2.7.eb
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|
||||
# IT4Innovations 2019
|
||||
|
||||
easyblock = 'PythonPackage'
|
||||
|
||||
name = 'pmx'
|
||||
version = '20190115'
|
||||
|
||||
homepage = 'https://github.com/alchemistry/alchemlyb/'
|
||||
description = """alchemlyb is an attempt to make alchemical free energy calculations easier to do by leveraging the full power and flexibility of the PyData stack"""
|
||||
|
||||
toolchain = {'name': 'Py', 'version': '2.7'}
|
||||
|
||||
source_urls = ['https://github.com/deGrootLab/pmx/archive/']
|
||||
sources = ['2016da08c4cea33bbca9ccd1f2094014110b7c6a.zip']
|
||||
|
||||
dependencies = [
|
||||
('numpy', '1.13.3'),
|
||||
('scipy', '1.0.0'),
|
||||
('matplotlib', '2.1.1'),
|
||||
]
|
||||
|
||||
sanity_check_paths = {
|
||||
'files': [],
|
||||
'dirs': ['lib/python2.7/site-packages/pmx'],
|
||||
}
|
||||
|
||||
moduleclass = 'python'
|
27
p/pymbar/pymbar-3.0.3-Py-2.7.eb
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27
p/pymbar/pymbar-3.0.3-Py-2.7.eb
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|
||||
# IT4Innovations 2019
|
||||
|
||||
easyblock = 'PythonPackage'
|
||||
|
||||
name = 'pymbar'
|
||||
version = '3.0.3'
|
||||
|
||||
homepage = 'https://github.com/MobleyLab/alchemical-analysis'
|
||||
description = """An open tool implementing some recommended practices for analyzing alchemical free energy calculations"""
|
||||
|
||||
toolchain = {'name': 'Py', 'version': '2.7'}
|
||||
|
||||
source_urls = ['https://github.com/choderalab/pymbar/archive/']
|
||||
sources = ['%(version)s.tar.gz']
|
||||
|
||||
dependencies = [
|
||||
('numpy', '1.13.3'),
|
||||
('six' , '1.11.0'),
|
||||
('scipy', '1.0.0'),
|
||||
]
|
||||
|
||||
sanity_check_paths = {
|
||||
'files': [],
|
||||
'dirs': ['lib/python2.7/site-packages/'],
|
||||
}
|
||||
|
||||
moduleclass = 'python'
|
21
p/pytz/pytz-2018.9-Py-2.7.eb
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21
p/pytz/pytz-2018.9-Py-2.7.eb
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|
||||
# IT4Innovations 2019
|
||||
|
||||
easyblock = "PythonPackage"
|
||||
name = 'pytz'
|
||||
version = '2018.9'
|
||||
|
||||
homepage = 'http://pytz.sourceforge.net/'
|
||||
description = """pytz brings the Olson tz database into Python. This library allows
|
||||
accurate and cross platform timezone calculations using Python 2.4 or higher."""
|
||||
|
||||
toolchain = {'name': 'Py', 'version': '2.7'}
|
||||
|
||||
source_urls = ['https://files.pythonhosted.org/packages/af/be/6c59e30e208a5f28da85751b93ec7b97e4612268bb054d0dff396e758a90/']
|
||||
sources = ['%(name)s-%(version)s.tar.gz']
|
||||
|
||||
sanity_check_paths = {
|
||||
'files': ['lib/python2.7/site-packages/%(name)s-%(version)s-py2.7.egg'],
|
||||
'dirs': [],
|
||||
}
|
||||
|
||||
moduleclass = 'python'
|
@ -19,13 +19,21 @@ dependencies = [
|
||||
('CMake', '3.13.1', '', True),
|
||||
('libxml2', '2.9.4', '', True),
|
||||
('Boost', '1.68.0', '-serial'),
|
||||
('HDF5', '1.10.4', '-serial')
|
||||
('HDF5', '1.10.4', '-parallel'),
|
||||
('h5py', '2.9.0', '-Py-2.7'),
|
||||
]
|
||||
|
||||
separate_build_dir = True
|
||||
|
||||
configopts = ' -DENABLE_SOA=1 '
|
||||
|
||||
#preinstallopts = [
|
||||
# #'cp %(builddir)s/easybuild_obj/ %(installdir)s/build -R',
|
||||
# 'cd %(builddir)s/easybuild_obj/ && ',
|
||||
# 'ctest -R deterministic -LE unstable && ',
|
||||
# 'ctest -R short -LE unstable && '
|
||||
#]
|
||||
|
||||
sanity_check_paths = {
|
||||
'files': ['bin/qmcpack'],
|
||||
'dirs': ['bin'],
|
||||
|
34
s/scikit-learn/scikit-learn-0.20.2-Py-2.7.eb
Normal file
34
s/scikit-learn/scikit-learn-0.20.2-Py-2.7.eb
Normal file
@ -0,0 +1,34 @@
|
||||
# IT4Innovations 2019
|
||||
|
||||
easyblock = 'PythonPackage'
|
||||
|
||||
name = 'scikit-learn'
|
||||
version = '0.20.2'
|
||||
|
||||
homepage = 'http://scikit-learn.org/stable/index.html'
|
||||
description = """Scikit-learn integrates machine learning algorithms in the tightly-knit scientific Python world,
|
||||
building upon numpy, scipy, and matplotlib. As a machine-learning module,
|
||||
it provides versatile tools for data mining and analysis in any field of science and engineering.
|
||||
It strives to be simple and efficient, accessible to everybody, and reusable in various contexts."""
|
||||
|
||||
toolchain = {'name': 'Py', 'version': '2.7'}
|
||||
|
||||
source_urls = [PYPI_SOURCE]
|
||||
sources = [SOURCE_TAR_GZ]
|
||||
|
||||
dependencies = [
|
||||
('matplotlib', '2.1.1'),
|
||||
('numpy', '1.13.3'),
|
||||
('scipy', '1.0.0'),
|
||||
('scikit-image', '0.14.1'),
|
||||
('Tk', '8.6.6', '', True),
|
||||
]
|
||||
|
||||
options = {'modulename': 'sklearn'}
|
||||
|
||||
sanity_check_paths = {
|
||||
'files': [],
|
||||
'dirs': ['lib/python3.6/site-packages/sklearn'],
|
||||
}
|
||||
|
||||
moduleclass = 'python'
|
20
t/tbb/tbb-2018_U5-intel-2017c.eb
Normal file
20
t/tbb/tbb-2018_U5-intel-2017c.eb
Normal file
@ -0,0 +1,20 @@
|
||||
# IT4Innovations 2019
|
||||
|
||||
name = 'tbb'
|
||||
version = '2018_U5'
|
||||
|
||||
homepage = 'https://01.org/tbb/'
|
||||
description = """Intel(R) Threading Building Blocks (Intel(R) TBB) lets you easily write parallel C++ programs that
|
||||
take full advantage of multicore performance, that are portable, composable and have future-proof scalability."""
|
||||
|
||||
toolchain = {'name': 'intel', 'version': '2017c'}
|
||||
|
||||
source_urls = ['https://github.com/01org/tbb/archive/']
|
||||
sources = ['%(version)s.tar.gz']
|
||||
checksums = ['c4c2896af527392496c5e01ef8579058a71b6eebbd695924cd138841c13f07be']
|
||||
|
||||
builddependencies = [
|
||||
('binutils', '2.31.1', '', True)
|
||||
]
|
||||
|
||||
moduleclass = 'lib'
|
@ -18,7 +18,7 @@ source_urls = [
|
||||
|
||||
dependencies = [
|
||||
('bzip2', '1.0.6'),
|
||||
('fontconfig', '2.13.0', '-libpng-1.6.34'),
|
||||
('fontconfig', '2.13.0'),
|
||||
('freetype', '2.9.1', '-libpng-1.6.34'),
|
||||
('zlib', '1.2.11'),
|
||||
]
|
||||
|
Loading…
x
Reference in New Issue
Block a user