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63 lines (60 loc) · 2.2 KB
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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="refrag-simple",
version="0.1.0",
author="Your Name",
author_email="your.email@example.com",
description="A simplified implementation of REFRAG for efficient RAG decoding",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/yourusername/refrag-simple",
packages=find_packages(),
classifiers=[
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Software Development :: Libraries :: Python Modules",
],
python_requires=">=3.8",
install_requires=requirements,
extras_require={
"dev": [
"pytest>=7.0.0",
"pytest-cov>=4.0.0",
"black>=23.0.0",
"flake8>=6.0.0",
"pre-commit>=3.0.0",
],
"viz": [
"matplotlib>=3.5.0",
"seaborn>=0.11.0",
],
"wandb": [
"wandb>=0.15.0",
],
},
entry_points={
"console_scripts": [
"refrag-demo=refrag:main",
],
},
keywords="retrieval-augmented generation, RAG, language models, NLP, efficiency, compression",
project_urls={
"Bug Reports": "https://github.com/yourusername/refrag-simple/issues",
"Source": "https://github.com/yourusername/refrag-simple",
"Documentation": "https://github.com/yourusername/refrag-simple#readme",
"Original Paper": "https://arxiv.org/abs/2509.01092",
},
)