tensorflow_privacy/setup.py

# Copyright 2018, The TensorFlow Authors.
#
# 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.
"""TensorFlow Privacy library setup file for pip."""

import setuptools

with open('tensorflow_privacy/version.py') as file:
  globals_dict = {}
  exec(file.read(), globals_dict)  # pylint: disable=exec-used
  VERSION = globals_dict['__version__']

README = (
    'A Python library that includes implementations of TensorFlow optimizers '
    'for training machine learning models with differential privacy.'
)

setuptools.setup(
    name='tensorflow_privacy',
    version=VERSION,
    description='A privacy-focused machine learning framework',
    long_description=README,
    long_description_content_type='text/plain',
    url='https://github.com/tensorflow/privacy',
    license='Apache-2.0',
    packages=setuptools.find_packages(),
    install_requires=[
        'absl-py>=1.0,==1.*',
        'attrs>=21.4',
        'dm-tree==0.1.8',
        'dp-accounting==0.4.3',
        'immutabledict~=2.2',
        'matplotlib~=3.3',
        'numpy~=1.21',
        'packaging~=22.0',
        'pandas~=1.4',
        'scikit-learn>=1.0,==1.*',
        'scipy~=1.9',
        'statsmodels==0.14.0',
        'tensorflow-estimator~=2.4',
        'tensorflow-probability~=0.22.0',
        'tensorflow~=2.4',
        'tf-models-official~=2.13',
    ],
    python_requires='>=3.9.0,<3.12',
)