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setup.py
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61 lines (56 loc) · 1.57 KB
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from setuptools import setup
__version__ = ""
with open("fedgraph/version.py", "r") as f:
exec(f.read(), globals())
with open("README.md", "r") as f:
README = f.read()
setup(
name="fedgraph",
version=__version__,
packages=["fedgraph"],
author="Yuhang Yao",
author_email="yuhangya@andrew.cmu.edu",
description="Federated Graph Learning",
long_description=README,
long_description_content_type="text/markdown",
url="https://github.com/FedGraph/fedgraph",
classifiers=[
"Programming Language :: Python :: 3",
# "License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
],
keywords=["Graph Neural Networks", "Federated Learning"],
python_requires=">=3.9",
install_requires=[
"torch>=2.0.0",
"torch-scatter>=2.0.9",
"torch-sparse>=0.6.15",
"torch-cluster>=1.6.0",
"torch-spline-conv>=1.2.1",
"torch-geometric>=2.1.0.post1",
"omegaconf>=2.3.0",
"ray[default]>=2.6.3",
"PyYAML>=5.4.0",
"attridict",
"torchmetrics",
"setuptools",
"sphinx_rtd_theme",
"sphinxcontrib-bibtex",
"matplotlib",
"sphinx_gallery",
"tensorboard",
"dtaidistance",
"gdown",
"pandas",
"twine==5.0.0",
"scikit-learn",
"tenseal",
"huggingface_hub",
"ogb",
],
extras_require={"dev": ["build", "mypy", "pre-commit", "pytest"]},
include_package_data=True,
package_data={
"fedgraph": ["he_context.pkl"],
},
)