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setup.py
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55 lines (50 loc) · 1.79 KB
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"""
MechGraph: Neuro-Symbolic Molecular Mechanism Prediction
A multimodal architecture combining Graph Neural Networks (GNN) with
Large Language Models (LLM) for predicting organic reaction mechanisms.
"""
from setuptools import setup, find_packages
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
with open("requirements.txt", "r", encoding="utf-8") as fh:
requirements = [line.strip() for line in fh if line.strip() and not line.startswith("#")]
setup(
name="mechgraph",
version="0.1.0",
author="MechGraph Team",
description="Neuro-Symbolic Molecular Mechanism Prediction",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/whyujjwal/MechGraph",
packages=find_packages(),
classifiers=[
"Development Status :: 3 - Alpha",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Chemistry",
],
python_requires=">=3.9",
install_requires=requirements,
extras_require={
"dev": [
"pytest>=7.0",
"pytest-cov>=4.0",
"black>=23.0",
"isort>=5.12",
"flake8>=6.0",
],
},
entry_points={
"console_scripts": [
"mechgraph-train=scripts.train:main",
"mechgraph-inference=scripts.inference:main",
"mechgraph-evaluate=scripts.evaluate:main",
],
},
)