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setup.cfg
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[metadata]
name = papyrus_scripts
version = attr: papyrus_scripts.__version__
description = A collection of scripts to handle the Papyrus bioactivity dataset
long_description = file: README.md
long_description_content_type = text/markdown
url = https://github.com/OlivierBeq/Papyrus-scripts
author = Olivier J. M. Béquignon - Brandon J. Bongers - Willem Jespers
author_email = "olivier.bequignon.maintainer@gmail.com"
maintainer = Olivier J. M. Béquignon
maintainer_email = "olivier.bequignon.maintainer@gmail.com"
license_file = LICENSE
classifiers =
Development Status :: 2 - Pre-Alpha
Programming Language :: Python
Programming Language :: Python :: 3.10
Programming Language :: Python :: 3.9
Programming Language :: Python :: 3.8
Programming Language :: Python :: 3.7
Programming Language :: Python :: 3.6
keywords =
bioactivity data
QSAR
proteochemometrics
cheminformatics
modelling
machine learning
[options]
include_package_data = True
packages = find:
package_dir =
= src
install_requires =
numpy
pandas
rdkit
requests
joblib
tqdm
mordred
swifter
scikit-learn
xgboost
pystow
prodec
[options.packages.find]
where = src
[options.package_data]
* = *.json
[options.entry_points]
console_scripts =
papyrus = papyrus_scripts.cli:main
[options.extras_require]
docs =
sphinx
sphinx-rtd-theme
sphinx-autodoc-typehints
testing =
pytest