forked from 626_privacy/tensorflow_privacy
a9ea9ba4a0
Please note: 1. I have manually tested the TFP release for python 3.10. 2. TFP does not define the set of python version that it is compatible with. This change should be followed up with the following changes: * Define the set of python version that TFP is compatible with. * Setup a Python package building test. * Release TFP so that projects depending on TFP can support Python 3.11 PiperOrigin-RevId: 572297305
47 lines
1.5 KiB
Python
47 lines
1.5 KiB
Python
# Copyright 2018, The TensorFlow Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""TensorFlow Privacy library setup file for pip."""
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import setuptools
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with open('tensorflow_privacy/version.py') as file:
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globals_dict = {}
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exec(file.read(), globals_dict) # pylint: disable=exec-used
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VERSION = globals_dict['__version__']
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setuptools.setup(
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name='tensorflow_privacy',
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version=VERSION,
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url='https://github.com/tensorflow/privacy',
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license='Apache-2.0',
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install_requires=[
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'absl-py>=1.0,==1.*',
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'attrs>=21.4',
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'dm-tree==0.1.8',
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'dp-accounting==0.4.3',
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'immutabledict~=2.2',
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'matplotlib~=3.3',
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'numpy~=1.21',
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'packaging~=22.0',
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'pandas~=1.4',
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'scikit-learn>=1.0,==1.*',
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'scipy~=1.9',
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'statsmodels~=0.13',
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'tensorflow-estimator~=2.4',
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'tensorflow-probability~=0.22.0',
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'tensorflow~=2.4',
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'tf-models-official~=2.13',
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],
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packages=setuptools.find_packages(),
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)
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