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40 lines (34 loc) · 1007 Bytes
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# -*- coding: utf-8 -*-
from setuptools import setup, find_packages
import libkge
VERSION = libkge.__version__
NAME = 'libkge'
DESCRIPTION = 'A library for knowledge graph embedding models'
with open('README.md') as f:
LONG_DESCRIPTION = f.read()
long_description_content_type = 'text/markdown'
AUTHOR = 'Sameh K. Mohamed'
URL = 'http://samehkamaleldin.github.io/'
with open('LICENSE') as f:
LICENSE = f.read()
setup(
name=NAME,
version=VERSION,
description=DESCRIPTION,
long_description=LONG_DESCRIPTION,
long_description_content_type=long_description_content_type,
author=AUTHOR,
url=URL,
install_requires=['numpy',
'bidict',
'tqdm',
'umap-learn',
'sklearn',
],
license=LICENSE,
packages=find_packages(exclude=('tests', 'docs')),
extras_require={
'tf': ['tensorflow>=1.13.0'],
'tf_gpu': ['tensorflow-gpu>=1.2.0']
}
)