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setup.py
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setup.py
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# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Setup script for graph_attribution.
This script will install the code as a Python module.
See: https://github.com/google-research/graph-attribution
"""
import pathlib
from setuptools import find_packages, setup
GIT_URL = 'https://github.com/google-research/graph-attribution'
here = pathlib.Path(__file__).parent.resolve()
long_description = (here / 'README.md').read_text(encoding='utf-8')
short_description = 'Attribution for GNNs'
install_requires = [
'tensorflow >= 2.0.0',
'dm-sonnet >= 2',
'graph_nets',
'absl-py',
'numpy',
'matplotlib',
'seaborn',
'scipy',
'pandas',
'tqdm',
'networkx',
'ml_collections'
]
setup(
name='graph_attribution',
version='1.0.0b',
description=short_description,
long_description=long_description,
long_description_content_type='text/markdown',
url=GIT_URL,
author='',
author_email='[email protected]',
install_requires=install_requires,
keywords='attribution, gnn, machine, learning, research, xai',
include_package_data=True,
packages=find_packages(),
package_data={},
project_urls={ # Optional
'Bug Reports': f'{GIT_URL}/issues',
'Source': GIT_URL,
},
license='Apache 2.0',
classifiers=[
'Development Status :: 4 - Beta',
'Intended Audience :: Developers',
'Intended Audience :: Education',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: Apache Software License',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: BSD License',
'Programming Language :: Python :: 3',
'Topic :: Scientific/Engineering',
'Topic :: Scientific/Engineering :: Mathematics',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'Topic :: Software Development',
'Topic :: Software Development :: Libraries',
'Topic :: Software Development :: Libraries :: Python Modules',
]
)