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pyproject.toml
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29 lines (26 loc) · 984 Bytes
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[project]
name = "autoadsorbate"
version = "0.2.7"
description = "AutoAdsorbate is a lightweight and easy-to-use Python package for generating chemically meaningful configurations of molecules and fragments on surfaces. Built with minimal dependencies and a low barrier to entry, it enables rapid setup of surface-adsorbate systems using the Surrogate-SMILES (*SMILES) representation. Ideal for researchers in catalysis, nanotech, and materials science, AutoAdsorbate streamlines dataset generation for simulations and machine learning workflows."
authors = [
{ name="Edvin Fako", email="edvinfako@gmail.com" }
]
readme = "README.md"
requires-python = ">=3.9"
license = "MIT"
dependencies = [
"ase>=3.24.0",
"dscribe>=2.1.0",
"pandas>=2.0.0",
"rdkit>=2022.9.5",
"scikit-learn>=1.3.0",
]
[dependency-groups]
dev = [
"ipykernel>=6.29.5",
"pytest>=8.3.5",
"ruff>=0.11.6",
]
[tool.setuptools.packages.find]
include = ["autoadsorbate"]
where = ["."]