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setup.py
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setup.py
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# pylint: disable=g-bad-file-header
# Copyright 2021 DeepMind Technologies Limited. 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.
# ============================================================================
"""Install script for setuptools."""
import imp # pylint: disable=deprecated-module
import setuptools
# Additional requirements for testing.
# Discussion on `pytype==2021.8.11`: pytype latest version raises some issues
# tracked in https://github.com/google/pytype/issues/1359. This version is
# borrowed from https://github.com/deepmind/acme/blob/master/setup.py#L71
testing_require = [
'pytest-xdist',
'pytype', # to be compatible with dm-acme
]
setuptools.setup(
name='enn',
description=(
'Epistemic neural networks. '
'A library for probabilistic inference via neural networks.'
),
long_description=open('README.md').read(),
long_description_content_type='text/markdown',
url='https://github.com/deepmind/enn',
author='DeepMind',
author_email='[email protected]',
license='Apache License, Version 2.0',
version=imp.load_source('_metadata', 'enn/_metadata.py').__version__,
keywords='probabilistic-inference python machine-learning',
packages=setuptools.find_packages(),
# Discussion on pinning versions: As of 2023-03-31, `dm-acme==0.4.0` is the
# latest version that supports Python 3.7, 3.8, and 3.9. However, this
# version works only with `tensorflow==2.8.0`, `tensorflow-datasets==4.6.0`,
# and `tensorflow_probability==0.15.0` as specified in
# https://github.com/deepmind/acme/blob/master/setup.py#L39.
# Moreover, our library does not require loading `tensorflow_probability`,
# it is just loaded to pin to the specific version required by dm-acme.
install_requires=[
'absl-py',
'chex',
'dill',
'dm-haiku',
'jax',
'jaxline',
'numpy',
'optax',
'pandas',
'rlax',
'plotnine',
'scikit-learn',
'tensorflow', # to be compatible with dm-acme
'tensorflow-datasets', # to be compatible with dm-acme
'tensorflow_probability', # to be compatible with dm-acme
'typing-extensions',
],
extras_require={
'testing': testing_require,
},
classifiers=[
'Development Status :: 3 - Alpha',
'Environment :: Console',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: Apache Software License',
'Operating System :: POSIX :: Linux',
'Operating System :: Microsoft :: Windows',
'Operating System :: MacOS :: MacOS X',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: 3.9',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
],
)