setup.py

from setuptools import setup, find_packages

setup(
    name="mix_eval",
    version="1.0.0",
    author="MixEval team",
    author_email="jinjieni@nus.edu.sg",
    packages=find_packages(),
    install_requires=[
        "fschat>=0.2.36",
        "transformers>=4.43.1",
        "tiktoken>=0.6.0",
        "SentencePiece>=0.2.0",
        "accelerate>=0.30.1",
        "pandas>=2.2.2",
        "scikit-learn>=1.5.0",
        "hf_transfer>=0.1.6",
        "openai>=1.30.5",
        "protobuf",
        "anthropic",
        "mistralai",
        "google-generativeai",
        "google-cloud-aiplatform",
        "reka-api",
        "dashscope",
        "fastapi >= 0.114.1",  # To avoid this bug https://github.com/vllm-project/vllm/issues/8212
        "pydantic >= 2.9.0",
        "httpx>=0.27.0",
        "nltk>=3.8.1",
        "numpy>=1.26.3",
        "tqdm>=4.66.4",
        "python-dotenv>=1.0.1",
        "prettytable",
        # Andere Dependencies, die immer benötigt werden
    ],
    extras_require={
        "online_model_outside_openai_and_hf": [
            "anthropic>=0.28.0",
            "mistralai>=0.3.0",
            "google-generativeai>=0.5.4",
            "google-cloud-aiplatform>=1.53.0",
            "reka-api>=2.0.0",
            "dashscope>=1.19.2",
            "tiktoken>=0.6.0",
            "fschat>=0.2.36",
            "SentencePiece>=0.2.0",
            # Andere optionalen Dependencies
        ],
        "potentially not used": [
            "fschat>=0.2.36",
        ],
        # Andere Gruppen von optionalen Dependencies
    },
    package_data={},
    entry_points={},
    url="https://mixeval.github.io/",
    license="License :: OSI Approved :: MIT License",
    description="A state-of-the-art benchmark and eval suite for Large Language Models.",
    long_description=open("README.md").read(),
    long_description_content_type="text/markdown",
)