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setup.py
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setup.py
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# Copyright 2024 The AirIO 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.
"""Install AirIO."""
import os
import sys
import setuptools
# To enable importing version.py directly, we add its path to sys.path.
version_path = os.path.join(os.path.dirname(__file__), 'airio')
sys.path.append(version_path)
from version import __version__ # pylint: disable=g-import-not-at-top
# Get the long description from the README file.
with open('README.md') as fp:
_LONG_DESCRIPTION = fp.read()
_jax_version = '0.4.16'
_jaxlib_version = '0.4.16'
setuptools.setup(
name='airio',
version=__version__,
description=(
'AirIO: Task-based datasets, preprocessing, and evaluation for sequence'
' models.'
),
long_description=_LONG_DESCRIPTION,
long_description_content_type='text/markdown',
author='Google Inc.',
author_email='[email protected]',
url='http://github.com/google/airio',
license='Apache 2.0',
py_modules=['core', 'pygrain', 'pygrain_common'],
packages=[
'airio',
'airio._src',
'airio._src.core',
'airio._src.pygrain',
'airio._src.pygrain.common',
],
include_package_data=True,
scripts=[],
install_requires=[
'absl-py',
'clu @ git+https://github.com/google/CommonLoopUtils#egg=clu',
'grain==0.2.0',
f'jax >= {_jax_version}',
f'jaxlib >= {_jaxlib_version}',
(
'jestimator @'
' git+https://github.com/google-research/jestimator#egg=jestimator'
),
'numpy',
'seqio @ git+https://github.com/google/seqio#egg=seqio',
# Ping to a specific version to avoid endless backtracking during
# pip dependency resolution.
'tfds-nightly==4.9.2.dev202308090034',
],
extras_require={
'test': ['pytest'],
},
classifiers=[
'Development Status :: 4 - Beta',
'Intended Audience :: Developers',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: Apache Software License',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
],
keywords='sequence preprocessing nlp machinelearning',
)