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Merge pull request #21791 from PetrKralCZ/20241106144430_new_pr_BindC…
…raft110 {bio}[foss/2023a] BindCraft v1.1.0, PyRosetta v4.release-387, dm-haiku v0.0.13
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89
easybuild/easyconfigs/b/BindCraft/BindCraft-1.1.0-foss-2023a.eb
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easyblock = 'Tarball' | ||
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name = 'BindCraft' | ||
version = '1.1.0' | ||
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homepage = 'https://github.com/martinpacesa/BindCraft' | ||
description = """Simple binder design pipeline using AlphaFold2 backpropagation, MPNN, and PyRosetta. | ||
Select your target and let the script do the rest of the work and finish once you have enough designs to order!""" | ||
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toolchain = {'name': 'foss', 'version': '2023a'} | ||
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source_urls = ['https://github.com/martinpacesa/BindCraft/archive/refs/tags/'] | ||
sources = [{'download_filename': 'v%(version)s.tar.gz', 'filename': '%(name)s-%(version)s.tar.gz'}] | ||
checksums = ['c682f59501f0bcfbb8289fd066362dcea37ed8553cdff5c794a2baa6d4149ce7'] | ||
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dependencies = [ | ||
('Python', '3.11.3'), | ||
('SciPy-bundle', '2023.07'), | ||
('Biopython', '1.83'), | ||
('Seaborn', '0.13.2'), | ||
('tqdm', '4.66.1'), | ||
('OpenMM', '8.0.0'), | ||
('FFmpeg', '6.0'), | ||
('matplotlib', '3.7.2'), | ||
('PyRosetta', '4.release-387'), | ||
('jax', '0.4.25'), | ||
('dm-haiku', '0.0.13'), | ||
('dm-tree', '0.1.8'), | ||
('ml-collections', '0.1.1'), | ||
('Optax', '0.2.2'), | ||
('py3Dmol', '2.1.0'), | ||
('JupyterLab', '4.0.5'), | ||
('hatchling', '1.18.0'), | ||
('Flax', '0.8.4'), | ||
] | ||
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exts_defaultclass = 'PythonPackage' | ||
exts_default_options = { | ||
'source_urls': [PYPI_SOURCE], | ||
'download_dep_fail': True, | ||
'use_pip': True, | ||
'sanity_pip_check': True, | ||
} | ||
exts_list = [ | ||
('PDBFixer', '1.9', { | ||
'source_urls': ['https://github.com/openmm/pdbfixer/archive/'], | ||
'sources': [{'download_filename': '%(version)s.tar.gz', 'filename': '%(name)s-%(version)s.tar.gz'}], | ||
'checksums': ['88b9a77e50655f89d0eb2075093773e82c27a4cef842cb7d735c877b20cd39fb'], | ||
}), | ||
('jupyter_console', '6.6.3', { | ||
'source_tmpl': SOURCE_PY3_WHL, | ||
'checksums': ['309d33409fcc92ffdad25f0bcdf9a4a9daa61b6f341177570fdac03de5352485'], | ||
}), | ||
# older version compatible with `jupyterlab-4.0.5` | ||
('notebook', '7.0.8', { | ||
'source_tmpl': SOURCE_PY3_WHL, | ||
'checksums': ['7f421b3fd46a17d91830e724b94e8e9ae922af152ebfd48b1e13ae4a07d8193c'], | ||
}), | ||
('jupyter', '1.1.1', { | ||
'source_tmpl': SOURCE_WHL, | ||
'checksums': ['7a59533c22af65439b24bbe60373a4e95af8f16ac65a6c00820ad378e3f7cc83'], | ||
}), | ||
('immutabledict', '4.2.0', { | ||
'source_tmpl': SOURCE_PY3_WHL, | ||
'checksums': ['d728b2c2410d698d95e6200237feb50a695584d20289ad3379a439aa3d90baba'], | ||
}), | ||
('colabdesign', '1.1.1', { | ||
'source_tmpl': SOURCE_PY3_WHL, | ||
'checksums': ['8f556fb575d2bbef79fa1789698d55221f2cc51df38f2cc054f38cb6ecc08e27'], | ||
}), | ||
] | ||
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fix_python_shebang_for = ['bindcraft.py'] | ||
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postinstallcmds = ['chmod a+x %(installdir)s/bindcraft.py'] | ||
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modextrapaths = { | ||
'PATH': '', | ||
'PYTHONPATH': ['', 'lib/python%(pyshortver)s/site-packages'], | ||
} | ||
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sanity_check_paths = { | ||
'files': ['bindcraft.py'], | ||
'dirs': [], | ||
} | ||
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sanity_check_commands = ["bindcraft.py --help"] | ||
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moduleclass = 'bio' |
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easybuild/easyconfigs/d/dm-haiku/dm-haiku-0.0.13-foss-2023a.eb
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easyblock = 'PythonBundle' | ||
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name = 'dm-haiku' | ||
version = '0.0.13' | ||
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homepage = 'https://github.com/deepmind/dm-haiku' | ||
description = """Haiku is a simple neural network library for JAX developed by some of the authors of Sonnet, a neural | ||
network library for TensorFlow.""" | ||
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toolchain = {'name': 'foss', 'version': '2023a'} | ||
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dependencies = [ | ||
('Python', '3.11.3'), | ||
('SciPy-bundle', '2023.07'), | ||
('jax', '0.4.25'), # required by jmp, also provides absl-py | ||
] | ||
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use_pip = True | ||
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exts_list = [ | ||
('jmp', '0.0.4', { | ||
'source_tmpl': SOURCE_PY3_WHL, | ||
'checksums': ['6aa7adbddf2bd574b28c7faf6e81a735eb11f53386447896909c6968dc36807d'], | ||
}), | ||
('dm_haiku', version, { | ||
'modulename': 'haiku', | ||
'source_tmpl': SOURCE_PY3_WHL, | ||
'checksums': ['ee9562c68a059f146ad07f555ca591cb8c11ef751afecc38353863562bd23f43'], | ||
}), | ||
] | ||
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sanity_pip_check = True | ||
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moduleclass = 'lib' |
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38
easybuild/easyconfigs/p/PyRosetta/PyRosetta-4.release-387-gompi-2023a.eb
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easyblock = 'PythonBundle' | ||
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name = 'PyRosetta' | ||
version = '4.release-387' | ||
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homepage = 'https://www.pyrosetta.org/' | ||
description = """ | ||
PyRosetta is an interactive Python-based interface to the powerful Rosetta molecular modeling | ||
suite. It enables users to design their own custom molecular modeling algorithms using Rosetta | ||
sampling methods and energy functions. | ||
""" | ||
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toolchain = {'name': 'gompi', 'version': '2023a'} | ||
toolchainopts = {'usempi': True} | ||
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builddependencies = [('binutils', '2.40')] | ||
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dependencies = [ | ||
('Python', '3.11.3'), | ||
] | ||
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use_pip = True | ||
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local_source_tmpl = '%(name)s%(version_major)s.Release.python%(pymajver)s%(pyminver)s.linux.%(version_minor)s.tar.bz2' | ||
local_source_urls = 'https://graylab.jhu.edu/download/PyRosetta4/archive/release/PyRosetta4.Release.python311.linux/' | ||
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exts_list = [ | ||
(name, version, { | ||
'source_tmpl': local_source_tmpl, | ||
'source_urls': [local_source_urls], | ||
'start_dir': 'setup', | ||
'checksums': ['42a10efd16cba7739d87a5c4035a2cd8792bc193804963fc26bb2f82f7ac2a1a'], | ||
}), | ||
] | ||
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sanity_pip_check = True | ||
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moduleclass = 'bio' |