mirror of
https://code.it4i.cz/sccs/easyconfigs-it4i.git
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new file: d/DynaPhoPy/DynaPhoPy-1.15-Python-2.7.13-base.eb
new file: d/DynaPhoPy/DynaPhoPy-1.15-intel-2017a-Python-2.7.13-base.eb new file: d/DynaPhoPy/DynaPhoPy-1.16.3-Py-3.6.eb modified: g/GLib/GLib-2.40.0.eb new file: l/lxml/lxml-4.1.1-Py-3.6.eb new file: p/phonopy/phonopy-1.12.6.66-Py-3.6.eb modified: q/Qt5/Qt5-5.8.0-GCC-6.3.0-2.27.eb new file: s/seaborn/graph-salomon.dot new file: s/seaborn/seaborn-0.8.1-Py-3.6.eb modified: x/X11/X11-20160819.eb deleted: d/DynaPhoPy/DynaPhoPy-1.15.eb
This commit is contained in:
parent
f4fc00eec4
commit
7a59f8a678
39
d/DynaPhoPy/DynaPhoPy-1.15-Python-2.7.13-base.eb
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39
d/DynaPhoPy/DynaPhoPy-1.15-Python-2.7.13-base.eb
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easyblock = 'PythonPackage'
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name = 'DynaPhoPy'
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version = '1.15'
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versionsuffix = '-Python-%(pyver)s-base'
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homepage = 'https://github.com/abelcarreras/DynaPhoPy'
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description = """Software to calculate crystal microscopic anharmonic properties from molecular dynamics (MD) using
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the normal-mode-decomposition technique. These properties include the phonon frequency shifts and linewidths, as well
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as the renormalized force constanst and thermal properties by using quasiparticle theory. This code includes
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interfaces for MD outputs from VASP and LAMMPS .PHONOPY code is used to obtain harmonic phonon modes."""
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toolchain = {'name': 'dummy', 'version': ''}
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source_urls = ['https://github.com/abelcarreras/DynaPhoPy/archive/']
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sources = ['%(version)s.tar.gz']
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dependencies = [
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('Python', '2.7.13', '-base', True),
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('phonopy', '1.11.12.5', '-Python-2.7.13-base', True ),
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('numpy', '1.13.0', '-Python-2.7.13-base', True),
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('scipy', '0.19.1', '-Python-2.7.13-base', True),
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('matplotlib', '2.0.2', '-Python-2.7.13-base', True),
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('seekpath', '1.5.0', '-Python-2.7.13-base', True),
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('PyYAML', '3.12', '-Python-2.7.13-base', True),
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('intel', '2017a'),
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]
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use_pip = True
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unpack_sources = False
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sanity_check_paths = {
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'files': [],
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'dirs': ['lib/python%(pyshortver)s/site-packages/dynaphopy'],
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}
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#sanity_check_commands = [('python', '-c "import dynaphopy; assert(dynaphopy.__version__ == \'%(version)s\')"')]
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moduleclass = 'phys'
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28
d/DynaPhoPy/DynaPhoPy-1.16.3-Py-3.6.eb
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d/DynaPhoPy/DynaPhoPy-1.16.3-Py-3.6.eb
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# IT4Innovations 2018
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easyblock = "PythonPackage"
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name = 'DynaPhoPy'
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version = '1.16.3'
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homepage = 'https://pypi.python.org/pypi/dynaphopy'
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description = 'oftware to calculate crystal microscopic anharmonic properties from molecular dynamics (MD) using the normal-mode-decomposition technique.'
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toolchain = {'name': 'Py', 'version': '3.6'}
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source_urls = [PYPI_SOURCE]
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sources = [SOURCELOWER_TAR_GZ]
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dependencies = [
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('phonopy', '1.12.6.66'),
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('matplotlib', '2.1.1'),
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('scipy', '1.0.0'),
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('h5py', '2.7.1'),
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('PyYAML', '3.12'),
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]
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sanity_check_paths = {
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'files': [],
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'dirs': ['lib/python3.6/site-packages/%(namelower)s-%(version)s-py3.6-linux-x86_64.egg'],
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}
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moduleclass = 'python'
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@ -15,8 +15,8 @@ sources = ['glib-%(version)s.tar.xz']
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dependencies = [
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('libffi', '3.0.13'),
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('gettext', '0.19.2'),
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('gettext', '0.19.4'),
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]
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builddependencies = [('Python', '2.7.9')]
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builddependencies = [('Python', '2.7.13')]
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moduleclass = 'vis'
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26
l/lxml/lxml-4.1.1-Py-3.6.eb
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l/lxml/lxml-4.1.1-Py-3.6.eb
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# IT4Innovations 2018
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easyblock = "PythonPackage"
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name = 'lxml'
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version = '4.1.1'
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homepage = 'http://lxml.de/'
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description = """The lxml XML toolkit is a Pythonic binding for the C libraries libxml2 and libxslt."""
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toolchain = {'name': 'Py', 'version': '3.6'}
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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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('libxml2', '2.9.4', '', True),
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('libxslt', '1.1.29', '', True),
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]
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sanity_check_paths = {
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'files': [],
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'dirs': [('lib/python3.6/site-packages/%(name)s-%(version)s-py3.6-linux-x86_64.egg')]
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}
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moduleclass = 'python'
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p/phonopy/phonopy-1.12.6.66-Py-3.6.eb
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p/phonopy/phonopy-1.12.6.66-Py-3.6.eb
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# IT4Innovations 2018
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easyblock = 'PythonPackage'
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name = 'phonopy'
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version = '1.12.6.66'
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homepage = 'https://atztogo.github.io/phonopy'
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description = """Phonopy is an open source package of phonon calculations based on the supercell approach."""
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toolchain = {'name': 'Py', 'version': '3.6'}
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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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('matplotlib', '2.1.1'),
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('lxml', '4.1.1'),
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('PyYAML', '3.12'),
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('numpy', '1.13.3'),
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('h5py', '2.7.1'),
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('scipy', '1.0.0')
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]
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moduleclass = 'python'
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@ -25,7 +25,7 @@ configopts = '-skip qtgamepad'
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dependencies = [
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('GLib', '2.40.0', '', True),
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('libpng', '1.6.12', '', True),
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('libpng', '1.6.29', '', True),
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('X11', '20160819', '', True),
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('libGLU', '9.0.0', '', True),
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]
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111
s/seaborn/graph-salomon.dot
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s/seaborn/graph-salomon.dot
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digraph graphname {
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"ncurses/6.0";
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"zlib/1.2.11";
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"M4/1.4.18";
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"seaborn/0.8.1-Py-3.6";
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"flex/2.6.3";
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"flex/2.6.0";
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"pytz/2017.3-Py-3.6";
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"M4/1.4.17";
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"six/1.11.0-Py-3.6";
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"Bison/3.0.4";
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"Py/3.6";
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"GMP/6.1.2";
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"libtool/2.4.6";
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"pyparsing/2.2.0-Py-3.6";
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"mkl/2017.4.239";
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"Tk/8.6.6";
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"pandas/0.22.0-Py-3.6";
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"GCCcore/6.3.0";
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"scipy/1.0.0-Py-3.6";
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"SQLite/3.17.0";
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"Tcl/8.6.6";
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"numpy/1.13.3-Py-3.6";
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"Automake/1.15";
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"libreadline/7.0";
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"python-dateutil/2.6.1-Py-3.6";
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"bzip2/1.0.6";
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"Autoconf/2.69";
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"freetype/2.8";
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"matplotlib/2.1.1-Py-3.6";
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"binutils/2.27-GCCcore-6.3.0";
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"GCC/6.3.0-2.27";
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"libpng/1.6.29";
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"Autotools/20150215";
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"help2man/1.47.4";
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"gettext/0.19.4";
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"XZ/5.2.3";
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"binutils/2.27";
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"Python/3.6.4-GCC-6.3.0-2.27-base";
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"seaborn/0.8.1-Py-3.6" -> "numpy/1.13.3-Py-3.6";
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"seaborn/0.8.1-Py-3.6" -> "scipy/1.0.0-Py-3.6";
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"seaborn/0.8.1-Py-3.6" -> "matplotlib/2.1.1-Py-3.6";
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"seaborn/0.8.1-Py-3.6" -> "pandas/0.22.0-Py-3.6";
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"seaborn/0.8.1-Py-3.6" -> "Py/3.6";
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"flex/2.6.3" -> "M4/1.4.18";
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"flex/2.6.3" -> "Bison/3.0.4" [color=blue, style=dotted, arrowhead=diamond];
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"flex/2.6.3" -> "help2man/1.47.4" [color=blue, style=dotted, arrowhead=diamond];
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"flex/2.6.0" -> "Bison/3.0.4";
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"pytz/2017.3-Py-3.6" -> "Py/3.6";
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"six/1.11.0-Py-3.6" -> "Py/3.6";
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"Bison/3.0.4" -> "M4/1.4.18" [color=blue, style=dotted, arrowhead=diamond];
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"Py/3.6" -> "Python/3.6.4-GCC-6.3.0-2.27-base";
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"Py/3.6" -> "GCC/6.3.0-2.27";
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"GMP/6.1.2" -> "Autotools/20150215" [color=blue, style=dotted, arrowhead=diamond];
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"libtool/2.4.6" -> "M4/1.4.17";
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"pyparsing/2.2.0-Py-3.6" -> "Py/3.6";
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"Tk/8.6.6" -> "Tcl/8.6.6";
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"Tk/8.6.6" -> "zlib/1.2.11";
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"pandas/0.22.0-Py-3.6" -> "numpy/1.13.3-Py-3.6";
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"pandas/0.22.0-Py-3.6" -> "pytz/2017.3-Py-3.6";
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"pandas/0.22.0-Py-3.6" -> "python-dateutil/2.6.1-Py-3.6";
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"pandas/0.22.0-Py-3.6" -> "Py/3.6";
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"GCCcore/6.3.0" -> "M4/1.4.18" [color=blue, style=dotted, arrowhead=diamond];
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"GCCcore/6.3.0" -> "binutils/2.27" [color=blue, style=dotted, arrowhead=diamond];
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"scipy/1.0.0-Py-3.6" -> "numpy/1.13.3-Py-3.6";
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"scipy/1.0.0-Py-3.6" -> "mkl/2017.4.239";
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"scipy/1.0.0-Py-3.6" -> "Py/3.6";
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"SQLite/3.17.0" -> "libreadline/7.0";
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"SQLite/3.17.0" -> "Tcl/8.6.6";
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"Tcl/8.6.6" -> "zlib/1.2.11";
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"numpy/1.13.3-Py-3.6" -> "mkl/2017.4.239";
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"numpy/1.13.3-Py-3.6" -> "Py/3.6";
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"Automake/1.15" -> "Autoconf/2.69";
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"libreadline/7.0" -> "ncurses/6.0";
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"python-dateutil/2.6.1-Py-3.6" -> "six/1.11.0-Py-3.6";
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"python-dateutil/2.6.1-Py-3.6" -> "Py/3.6";
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"Autoconf/2.69" -> "M4/1.4.18";
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"freetype/2.8" -> "libpng/1.6.29";
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"matplotlib/2.1.1-Py-3.6" -> "freetype/2.8";
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"matplotlib/2.1.1-Py-3.6" -> "libpng/1.6.29";
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"matplotlib/2.1.1-Py-3.6" -> "python-dateutil/2.6.1-Py-3.6";
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"matplotlib/2.1.1-Py-3.6" -> "numpy/1.13.3-Py-3.6";
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"matplotlib/2.1.1-Py-3.6" -> "pyparsing/2.2.0-Py-3.6";
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"matplotlib/2.1.1-Py-3.6" -> "six/1.11.0-Py-3.6";
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"matplotlib/2.1.1-Py-3.6" -> "Py/3.6";
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"binutils/2.27-GCCcore-6.3.0" -> "flex/2.6.3" [color=blue, style=dotted, arrowhead=diamond];
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"binutils/2.27-GCCcore-6.3.0" -> "Bison/3.0.4" [color=blue, style=dotted, arrowhead=diamond];
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"binutils/2.27-GCCcore-6.3.0" -> "zlib/1.2.11" [color=blue, style=dotted, arrowhead=diamond];
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"binutils/2.27-GCCcore-6.3.0" -> "binutils/2.27" [color=blue, style=dotted, arrowhead=diamond];
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"binutils/2.27-GCCcore-6.3.0" -> "GCCcore/6.3.0";
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"GCC/6.3.0-2.27" -> "GCCcore/6.3.0";
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"GCC/6.3.0-2.27" -> "binutils/2.27-GCCcore-6.3.0";
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"libpng/1.6.29" -> "zlib/1.2.11";
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"Autotools/20150215" -> "Autoconf/2.69";
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"Autotools/20150215" -> "Automake/1.15";
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"Autotools/20150215" -> "libtool/2.4.6";
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"XZ/5.2.3" -> "gettext/0.19.4";
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"XZ/5.2.3" -> "Autotools/20150215" [color=blue, style=dotted, arrowhead=diamond];
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"binutils/2.27" -> "flex/2.6.0" [color=blue, style=dotted, arrowhead=diamond];
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"binutils/2.27" -> "Bison/3.0.4" [color=blue, style=dotted, arrowhead=diamond];
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"binutils/2.27" -> "zlib/1.2.11" [color=blue, style=dotted, arrowhead=diamond];
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"Python/3.6.4-GCC-6.3.0-2.27-base" -> "bzip2/1.0.6";
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"Python/3.6.4-GCC-6.3.0-2.27-base" -> "libreadline/7.0";
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"Python/3.6.4-GCC-6.3.0-2.27-base" -> "SQLite/3.17.0";
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"Python/3.6.4-GCC-6.3.0-2.27-base" -> "Tk/8.6.6";
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"Python/3.6.4-GCC-6.3.0-2.27-base" -> "GMP/6.1.2";
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"Python/3.6.4-GCC-6.3.0-2.27-base" -> "XZ/5.2.3";
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"Python/3.6.4-GCC-6.3.0-2.27-base" -> "zlib/1.2.11";
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"Python/3.6.4-GCC-6.3.0-2.27-base" -> "ncurses/6.0";
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"Python/3.6.4-GCC-6.3.0-2.27-base" -> "GCC/6.3.0-2.27";
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}
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27
s/seaborn/seaborn-0.8.1-Py-3.6.eb
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27
s/seaborn/seaborn-0.8.1-Py-3.6.eb
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# IT4Innovations 2018
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easyblock = "PythonPackage"
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name = 'seaborn'
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version = '0.8.1'
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homepage = 'https://pypi.python.org/pypi/seaborn'
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description = 'Seaborn: statistical data visualization'
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toolchain = {'name': 'Py', 'version': '3.6'}
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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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('scipy', '1.0.0'),
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('matplotlib', '2.1.1'),
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('pandas', '0.22.0'),
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]
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sanity_check_paths = {
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'files': [],
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'dirs': ['lib/python3.6/site-packages/%(name)s-%(version)s-py3.6.egg'],
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}
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moduleclass = 'python'
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('pkg-config', '0.29.2'),
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]
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dependencies = [
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('freetype', '2.5.3'),
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('freetype', '2.8'),
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('fontconfig', '2.11.1'),
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('zlib', '1.2.11'),
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('bzip2', '1.0.6'),
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|
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