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Merge pull request #21141 from pavelToman/20240807125845_new_pr_synth…
…city0210 {lib}[foss/2022b] synthcity v0.2.10, DECAF-synthetic-data v0.1.6, PyTorch-Lightning v1.8.4, ... w/ PyTorch 1.13.1
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42 changes: 42 additions & 0 deletions
42
easybuild/easyconfigs/d/DECAF-synthetic-data/DECAF-synthetic-data-0.1.6-foss-2022b.eb
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easyblock = 'PythonBundle' | ||
|
||
name = 'DECAF-synthetic-data' | ||
version = '0.1.6' | ||
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homepage = 'https://github.com/vanderschaarlab/DECAF' | ||
description = """DEbiasing CAusal Fairness - | ||
Generating Fair Synthetic Data Using Causally-Aware Generative Networks""" | ||
|
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toolchain = {'name': 'foss', 'version': '2022b'} | ||
|
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dependencies = [ | ||
('Python', '3.10.8'), | ||
('SciPy-bundle', '2023.02'), | ||
('PyTorch-Lightning', '1.8.4'), | ||
('PyTorch', '1.13.1'), | ||
('XGBoost', '1.7.2'), | ||
('scikit-learn', '1.2.1'), | ||
('torchtext', '0.14.1', '-PyTorch-1.13.1'), | ||
] | ||
|
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use_pip = True | ||
sanity_pip_check = True | ||
|
||
exts_list = [ | ||
('networkx', '2.8.8', { | ||
'checksums': ['230d388117af870fce5647a3c52401fcf753e94720e6ea6b4197a5355648885e'], | ||
}), | ||
('loguru', '0.7.2', { | ||
'checksums': ['e671a53522515f34fd406340ee968cb9ecafbc4b36c679da03c18fd8d0bd51ac'], | ||
}), | ||
(name, version, { | ||
'modulename': 'decaf', | ||
'source_urls': ['https://github.com/vanderschaarlab/DECAF/archive/'], | ||
'sources': [{'download_filename': 'v%(version)s.tar.gz', 'filename': SOURCE_TAR_GZ}], | ||
'checksums': ['8f34e99937d2ccc43bff97b310c371c450e27313c0801cdd36aa91664c8e3180'], | ||
}), | ||
] | ||
|
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sanity_check_commands = ["python -c 'from decaf import DECAF, DataModule'"] | ||
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moduleclass = 'bio' |
42 changes: 42 additions & 0 deletions
42
easybuild/easyconfigs/f/fastai/fastai-2.7.15-foss-2022b.eb
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easyblock = 'PythonBundle' | ||
|
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name = 'fastai' | ||
version = '2.7.15' | ||
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homepage = 'https://www.fast.ai/' | ||
description = """The fastai deep learning library.""" | ||
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toolchain = {'name': 'foss', 'version': '2022b'} | ||
|
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use_pip = True | ||
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dependencies = [ | ||
('Python', '3.10.8'), | ||
('PyTorch', '1.13.1'), | ||
('matplotlib', '3.7.0'), | ||
('SciPy-bundle', '2023.02'), | ||
('PyYAML', '6.0'), | ||
('Pillow', '9.4.0'), | ||
('scikit-learn', '1.2.1'), | ||
('spaCy', '3.7.4'), | ||
('torchvision', '0.14.1'), | ||
] | ||
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exts_list = [ | ||
('fastdownload', '0.0.7', { | ||
'checksums': ['20507edb8e89406a1fbd7775e6e2a3d81a4dd633dd506b0e9cf0e1613e831d6a'], | ||
}), | ||
('fastcore', '1.5.54', { | ||
'checksums': ['3f23dfadd77428be99558fdad66bf04c79a9c626e694c7404ede816ed8372987'], | ||
}), | ||
('fastprogress', '1.0.3', { | ||
'checksums': ['7a17d2b438890f838c048eefce32c4ded47197ecc8ea042cecc33d3deb8022f5'], | ||
}), | ||
(name, version, { | ||
'checksums': ['f2cc20fd18cdf5ec738cc56d29d54de75887d48ad15f9d35cf50c38d3a856923'], | ||
}), | ||
] | ||
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sanity_pip_check = True | ||
|
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moduleclass = 'lib' |
44 changes: 44 additions & 0 deletions
44
easybuild/easyconfigs/h/HF-Datasets/HF-Datasets-2.14.4-gfbf-2022b.eb
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easyblock = "PythonBundle" | ||
|
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name = 'HF-Datasets' | ||
version = '2.14.4' | ||
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homepage = 'https://github.com/huggingface/datasets' | ||
description = """ | ||
The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient | ||
data manipulation tools. | ||
""" | ||
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toolchain = {'name': 'gfbf', 'version': '2022b'} | ||
|
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dependencies = [ | ||
('Python', '3.10.8'), | ||
('SciPy-bundle', '2023.02'), | ||
('aiohttp', '3.8.5'), | ||
('dill', '0.3.7'), | ||
('Arrow', '11.0.0'), | ||
('PyYAML', '6.0'), | ||
('tqdm', '4.64.1'), | ||
('python-xxhash', '3.2.0'), | ||
] | ||
|
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use_pip = True | ||
sanity_pip_check = True | ||
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exts_list = [ | ||
('pyarrow_hotfix', '0.6', { | ||
'checksums': ['79d3e030f7ff890d408a100ac16d6f00b14d44a502d7897cd9fc3e3a534e9945'], | ||
}), | ||
('multiprocess', '0.70.15', { | ||
'checksums': ['f20eed3036c0ef477b07a4177cf7c1ba520d9a2677870a4f47fe026f0cd6787e'], | ||
}), | ||
('huggingface-hub', '0.15.1', { | ||
'sources': ['huggingface_hub-%(version)s.tar.gz'], | ||
'checksums': ['a61b7d1a7769fe10119e730277c72ab99d95c48d86a3d6da3e9f3d0f632a4081'], | ||
}), | ||
('datasets', version, { | ||
'checksums': ['ef29c2b5841de488cd343cfc26ab979bff77efa4d2285af51f1ad7db5c46a83b'], | ||
}), | ||
] | ||
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moduleclass = 'data' |
27 changes: 27 additions & 0 deletions
27
easybuild/easyconfigs/i/imbalanced-learn/imbalanced-learn-0.12.3-gfbf-2022b.eb
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easyblock = 'PythonBundle' | ||
|
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name = 'imbalanced-learn' | ||
version = '0.12.3' | ||
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homepage = 'https://github.com/scikit-learn-contrib/imbalanced-learn' | ||
description = """imbalanced-learn is a Python package offering a number of re-sampling techniques commonly used in | ||
datasets showing strong between-class imbalance.""" | ||
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toolchain = {'name': 'gfbf', 'version': '2022b'} | ||
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dependencies = [ | ||
('Python', '3.10.8'), | ||
('scikit-learn', '1.2.1'), | ||
] | ||
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sanity_pip_check = True | ||
use_pip = True | ||
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exts_list = [ | ||
(name, version, { | ||
'modulename': 'imblearn', | ||
'checksums': ['5b00796a01419e9102bd425e27c319d58d1f6cf2dfa751e02ed7f4edf67c3c1b'], | ||
}), | ||
] | ||
|
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moduleclass = 'tools' |
45 changes: 45 additions & 0 deletions
45
easybuild/easyconfigs/l/lifelines/lifelines-0.27.7-foss-2022b.eb
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easyblock = 'PythonBundle' | ||
|
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name = 'lifelines' | ||
version = '0.27.7' | ||
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homepage = "https://lifelines.readthedocs.io/en/latest/" | ||
description = """lifelines is a complete survival analysis library, written in pure Python.""" | ||
|
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toolchain = {'name': 'foss', 'version': '2022b'} | ||
|
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dependencies = [ | ||
('Python', '3.10.8'), | ||
('SciPy-bundle', '2023.02'), | ||
('matplotlib', '3.7.0'), | ||
] | ||
|
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use_pip = True | ||
sanity_pip_check = True | ||
|
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exts_list = [ | ||
('wrapt', '1.16.0', { | ||
'checksums': ['5f370f952971e7d17c7d1ead40e49f32345a7f7a5373571ef44d800d06b1899d'], | ||
}), | ||
('astor', '0.8.1', { | ||
'checksums': ['6a6effda93f4e1ce9f618779b2dd1d9d84f1e32812c23a29b3fff6fd7f63fa5e'], | ||
}), | ||
('interface_meta', '1.3.0', { | ||
'checksums': ['8a4493f8bdb73fb9655dcd5115bc897e207319e36c8835f39c516a2d7e9d79a1'], | ||
}), | ||
('autograd', '1.6.2', { | ||
'checksums': ['8731e08a0c4e389d8695a40072ada4512641c113b6cace8f4cfbe8eb7e9aedeb'], | ||
}), | ||
('autograd-gamma', '0.5.0', { | ||
'checksums': ['f27abb7b8bb9cffc8badcbf59f3fe44a9db39e124ecacf1992b6d952934ac9c4'], | ||
}), | ||
('formulaic', '1.0.1', { | ||
'checksums': ['64dd7992a7aa5bbceb1e40679d0f01fc6f0ba12b7d23d78094a88c2edc68fba1'], | ||
}), | ||
(name, version, { | ||
'source_tmpl': '%(name)s-%(version)s-py3-none-any.whl', | ||
'checksums': ['44d60171f5abe85506b55cdf754b4ba769f61a5f8f18a9d05491009c6cee5803'], | ||
}), | ||
] | ||
|
||
moduleclass = 'bio' |
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easyblock = 'PythonBundle' | ||
|
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name = 'Optuna' | ||
version = '3.5.0' | ||
|
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homepage = "https://optuna.org/" | ||
description = """Optuna is an automatic hyperparameter optimization software framework, | ||
particularly designed for machine learning. It features an imperative, | ||
define-by-run style user API. Thanks to our define-by-run API, the code written | ||
with Optuna enjoys high modularity, and the user of Optuna can dynamically | ||
construct the search spaces for the hyperparameters.""" | ||
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toolchain = {'name': 'foss', 'version': '2022b'} | ||
|
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dependencies = [ | ||
('Python', '3.10.8'), | ||
('PyYAML', '6.0'), | ||
('SciPy-bundle', '2023.02'), | ||
('tqdm', '4.64.1'), | ||
('matplotlib', '3.7.0'), # optional | ||
('plotly.py', '5.13.1'), # optional | ||
('redis-py', '5.0.1'), # optional | ||
('scikit-learn', '1.2.1'), # optional | ||
('SQLAlchemy', '2.0.29'), | ||
] | ||
|
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use_pip = True | ||
sanity_pip_check = True | ||
|
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exts_list = [ | ||
('cmaes', '0.10.0', { | ||
'checksums': ['48afc70df027114739872b50489ae6b32461c307b92d084a63c7090a9742faf9'], | ||
}), | ||
('colorlog', '6.8.0', { | ||
'checksums': ['fbb6fdf9d5685f2517f388fb29bb27d54e8654dd31f58bc2a3b217e967a95ca6'], | ||
}), | ||
('optuna', version, { | ||
'use_pip_extras': 'optional', | ||
'checksums': ['ca9e1ce16aa6c6a5af0e1cc1d0cbcd98eb1c75b6a2f06be6bd9c0c5ab0698724'], | ||
}), | ||
] | ||
|
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sanity_check_paths = { | ||
'files': ['bin/optuna'], | ||
'dirs': ['lib/python%(pyshortver)s/site-packages'], | ||
} | ||
sanity_check_commands = [('optuna', '--help')] | ||
|
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moduleclass = 'tools' |
121 changes: 121 additions & 0 deletions
121
easybuild/easyconfigs/p/PyTorch-Lightning/PyTorch-Lightning-1.8.4-foss-2022b.eb
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---|---|---|
@@ -0,0 +1,121 @@ | ||
easyblock = 'PythonBundle' | ||
|
||
name = 'PyTorch-Lightning' | ||
version = '1.8.4' | ||
|
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homepage = 'https://pytorchlightning.ai' | ||
description = "PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers." | ||
|
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toolchain = {'name': 'foss', 'version': '2022b'} | ||
|
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dependencies = [ | ||
('Python', '3.10.8'), | ||
# dependencies from requirements/app/base.txt | ||
('aiohttp', '3.8.5'), | ||
('BeautifulSoup', '4.11.1'), | ||
('deepdiff', '6.7.1'), | ||
# dependencies from requirements/pytorch/base.txt | ||
('PyTorch', '1.13.1'), | ||
('tqdm', '4.64.1'), | ||
('tensorboardX', '2.6.2.2'), | ||
] | ||
|
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use_pip = True | ||
|
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# dependencies from requirements/app/base.txt and requirements/pytorch/base.txt | ||
exts_list = [ | ||
('commonmark', '0.9.1', { | ||
'checksums': ['452f9dc859be7f06631ddcb328b6919c67984aca654e5fefb3914d54691aed60'], | ||
}), | ||
('rich', '12.5.1', { | ||
'checksums': ['63a5c5ce3673d3d5fbbf23cd87e11ab84b6b451436f1b7f19ec54b6bc36ed7ca'], | ||
}), | ||
('pydantic', '1.10.2', { | ||
'checksums': ['91b8e218852ef6007c2b98cd861601c6a09f1aa32bbbb74fab5b1c33d4a1e410'], | ||
}), | ||
('PyJWT', '2.6.0', { | ||
'modulename': 'jwt', | ||
'checksums': ['69285c7e31fc44f68a1feb309e948e0df53259d579295e6cfe2b1792329f05fd'], | ||
}), | ||
('starlette', '0.19.1', { | ||
'checksums': ['c6d21096774ecb9639acad41b86b7706e52ba3bf1dc13ea4ed9ad593d47e24c7'], | ||
}), | ||
('fastapi', '0.79.1', { | ||
'checksums': ['006862dec0f0f5683ac21fb0864af2ff12a931e7ba18920f28cc8eceed51896b'], | ||
}), | ||
('sniffio', '1.3.0', { | ||
'checksums': ['e60305c5e5d314f5389259b7f22aaa33d8f7dee49763119234af3755c55b9101'], | ||
}), | ||
('anyio', '3.6.1', { | ||
'checksums': ['413adf95f93886e442aea925f3ee43baa5a765a64a0f52c6081894f9992fdd0b'], | ||
}), | ||
('websocket-client', '1.4.2', { | ||
'modulename': 'websocket', | ||
'checksums': ['d6e8f90ca8e2dd4e8027c4561adeb9456b54044312dba655e7cae652ceb9ae59'], | ||
}), | ||
('lightning_cloud', '0.5.12', { | ||
'checksums': ['5b0cf53ecfb512f9476eec3a7f425c0e174ca9d0e726673605d5e1e57074eb0c'], | ||
}), | ||
('itsdangerous', '2.1.2', { | ||
'checksums': ['5dbbc68b317e5e42f327f9021763545dc3fc3bfe22e6deb96aaf1fc38874156a'], | ||
}), | ||
('starsessions', '1.3.0', { | ||
'checksums': ['8d3b509d4e6d235655f7dd495fcf0afc1bd86da84de3a8d434e6f82137ebcde8'], | ||
}), | ||
('fsspec', '2022.7.1', { | ||
'checksums': ['7f9fb19d811b027b97c4636c6073eb53bc4cbee2d3c4b33fa88b9f26906fd7d7'], | ||
}), | ||
('croniter', '1.3.8', { | ||
'checksums': ['32a5ec04e97ec0837bcdf013767abd2e71cceeefd3c2e14c804098ce51ad6cd9'], | ||
}), | ||
('traitlets', '5.2.0', { | ||
'checksums': ['60474f39bf1d39a11e0233090b99af3acee93bbc2281777e61dd8c87da8a0014'], | ||
}), | ||
('arrow', '1.2.3', { | ||
'checksums': ['3934b30ca1b9f292376d9db15b19446088d12ec58629bc3f0da28fd55fb633a1'], | ||
}), | ||
('lightning-utilities', '0.4.2', { | ||
'checksums': ['dc6696ab180117f7e97b5488dac1d77765ab891022f7521a97a39e10d362bdb8'], | ||
}), | ||
('blessed', '1.19.1', { | ||
'checksums': ['9a0d099695bf621d4680dd6c73f6ad547f6a3442fbdbe80c4b1daa1edbc492fc'], | ||
}), | ||
('python-editor', '1.0.4', { | ||
'modulename': 'editor', | ||
'checksums': ['51fda6bcc5ddbbb7063b2af7509e43bd84bfc32a4ff71349ec7847713882327b'], | ||
}), | ||
('readchar', '4.0.3', { | ||
'checksums': ['1d920d0e9ab76ec5d42192a68d15af2562663b5dfbf4a67cf9eba520e1ca57e6'], | ||
}), | ||
('inquirer', '2.10.1', { | ||
'checksums': ['e9876258183e24f6e8c44136b04f6f2e18dd6684aee59b86a8057c50601a6523'], | ||
}), | ||
('wrapt', '1.14.1', { | ||
'checksums': ['380a85cf89e0e69b7cfbe2ea9f765f004ff419f34194018a6827ac0e3edfed4d'], | ||
}), | ||
('jmespath', '1.0.1', { | ||
'checksums': ['90261b206d6defd58fdd5e85f478bf633a2901798906be2ad389150c5c60edbe'], | ||
}), | ||
('botocore', '1.24.21', { | ||
'checksums': ['7e976cfd0a61601e74624ef8f5246b40a01f2cce73a011ef29cf80a6e371d0fa'], | ||
}), | ||
('aioitertools', '0.11.0', { | ||
'checksums': ['42c68b8dd3a69c2bf7f2233bf7df4bb58b557bca5252ac02ed5187bbc67d6831'], | ||
}), | ||
('aiobotocore', '2.3.4', { | ||
'checksums': ['6554ebea5764f66f4be544a4fcaa0953ee80e600dd7bd818ba4893d72bf12bfb'], | ||
}), | ||
('s3fs', '2022.7.1', { | ||
'checksums': ['4883d682cb96b769fca568dbbcaa33ff457ac8077a03af221e6f253adac05771'], | ||
}), | ||
('torchmetrics', '0.9.3', { | ||
'checksums': ['4ebfd2466021db26397636966ee1a195d3b340ba5d71bb258e764340dfc2476f'], | ||
}), | ||
('pytorch-lightning', version, { | ||
'checksums': ['c2771f966fc1b909cdfd1d603a87b8c84a3d5ff7aacf35b2c0260f697ec0c8be'], | ||
}), | ||
] | ||
|
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sanity_pip_check = True | ||
|
||
moduleclass = 'lib' |
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