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setup.py
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"""
ChemJEPA Setup
Install with: pip install -e .
"""
from setuptools import setup, find_packages
from pathlib import Path
# Read README
readme_file = Path(__file__).parent / "README.md"
long_description = readme_file.read_text(encoding="utf-8") if readme_file.exists() else ""
# Core dependencies
requirements = [
"torch>=2.0.0",
"torch-geometric>=2.3.0",
"rdkit>=2023.9.1",
"e3nn>=0.5.0",
"numpy>=1.22.0",
"pandas>=1.5.0",
"tqdm>=4.65.0",
"pyyaml>=6.0",
"scipy>=1.10.0",
]
# Optional dependencies
extras = {
"dev": [
"pytest>=7.3.0",
"black>=23.3.0",
"flake8>=6.0.0",
],
"wandb": [
"wandb>=0.15.0",
],
"viz": [
"matplotlib>=3.7.0",
"seaborn>=0.12.0",
],
}
setup(
name="chemjepa",
version="0.1.0",
description="Joint-Embedding Predictive Architecture for Open-World Chemistry",
long_description=long_description,
long_description_content_type="text/markdown",
author="ChemJEPA",
url="https://github.com/yourusername/chemjepa",
packages=find_packages(exclude=["tests", "scripts", "data", "checkpoints"]),
classifiers=[
"Development Status :: 4 - Beta",
"Intended Audience :: Science/Research",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Chemistry",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
],
python_requires=">=3.9",
install_requires=requirements,
extras_require=extras,
entry_points={
"console_scripts": [
"chemjepa-test=test_quick:main",
"chemjepa-train=train_production:main",
],
},
)