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setup.py
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setup.py
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# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# 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 to install Fairness Indicators."""
import os
import sys
from setuptools import find_packages
from setuptools import setup
if sys.version_info >= (3, 11):
sys.exit('Sorry, Python >= 3.11 is not supported')
def select_constraint(default, nightly=None, git_master=None):
"""Select dependency constraint based on TFX_DEPENDENCY_SELECTOR env var."""
selector = os.environ.get('TFX_DEPENDENCY_SELECTOR')
if selector == 'UNCONSTRAINED':
return ''
elif selector == 'NIGHTLY' and nightly is not None:
return nightly
elif selector == 'GIT_MASTER' and git_master is not None:
return git_master
else:
return default
REQUIRED_PACKAGES = [
'tensorflow>=2.15,<2.16',
'tensorflow-hub>=0.16.1,<1.0.0',
'tensorflow-data-validation' + select_constraint(
default='>=1.15.1,<2.0.0',
nightly='>=1.16.0.dev',
git_master='@git+https://github.com/tensorflow/data-validation@master'),
'tensorflow-model-analysis' + select_constraint(
default='>=0.46,<0.47',
nightly='>=0.47.0.dev',
git_master='@git+https://github.com/tensorflow/model-analysis@master'),
'witwidget>=1.4.4,<2',
'protobuf>=3.20.3,<5',
]
# Get version from version module.
with open('fairness_indicators/version.py') as fp:
globals_dict = {}
exec(fp.read(), globals_dict) # pylint: disable=exec-used
__version__ = globals_dict['__version__']
with open('README.md', 'r', encoding='utf-8') as fh:
long_description = fh.read()
setup(
name='fairness_indicators',
version=__version__,
description='Fairness Indicators',
long_description=long_description,
long_description_content_type='text/markdown',
url='https://github.com/tensorflow/fairness-indicators',
author='Google LLC',
author_email='packages@tensorflow.org',
packages=find_packages(exclude=['tensorboard_plugin']),
package_data={
'fairness_indicators': ['documentation/*'],
},
python_requires='>=3.9,<4',
install_requires=REQUIRED_PACKAGES,
tests_require=REQUIRED_PACKAGES,
# PyPI package information.
classifiers=[
'Development Status :: 4 - Beta',
'Intended Audience :: Developers',
'Intended Audience :: Education',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: Apache Software License',
'Operating System :: OS Independent',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.9',
'Programming Language :: Python :: 3 :: Only',
'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',
],
license='Apache 2.0',
keywords='tensorflow model analysis fairness indicators tensorboard machine'
' learning',
)