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setup.py
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68 lines (62 loc) · 1.95 KB
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# -*- coding: utf-8 -*-
from setuptools import setup, find_packages
import re
import os
def get_version():
version_py = os.path.join(os.path.dirname(__file__), "pymolfold", "version.py")
with open(version_py) as f:
return re.search(r"__version__ = ['\"]([^'\"]+)['\"]", f.read()).group(1)
setup(
name="pymolfold",
version=get_version(),
packages=find_packages(),
install_requires=[
"requests>=2.25.0",
"numpy>=1.19.0",
"httpx>=0.24.0",
"fastapi>=0.68.0",
"matplotlib>=3.3.0",
"biopython>=1.79",
"streamlit==1.49.1",
"flask==3.1.0",
"rdkit==2025.3.6",
"uvicorn==0.22.0",
"esm==3.2.1",
"torch>=2.0.0",
"shadowpxmeter==0.0.3",
"seaborn==0.13.2",
"python-dotenv==1.0.1",
],
python_requires=">=3.8",
author="Jinyuan Sun, Yifan Deng",
author_email="jinyuansun98@gmail.com, dengyifan15@gmail.com",
description="Protein structure prediction in PyMOL",
long_description=open("README.md").read(),
long_description_content_type="text/markdown",
url="https://github.com/JinyuanSun/PymolFold",
classifiers=[
"Development Status :: 4 - Beta",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Topic :: Scientific/Engineering :: Bio-Informatics",
],
entry_points={
"console_scripts": [
"fold_batch=pymolfold.fold_batch:main",
],
"pymol.plugins": ["pymolfold=pymolfold.plugin:__init_plugin__"],
},
# 包含非Python文件
package_data={
"pymolfold": [
"README.md",
"LICENSE",
".esm3_token",
],
},
)