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setup.py
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# Copyright 2016 Google Inc. 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.
"""Package Setup script for the tf.Transform binary.
"""
from setuptools import find_packages
from setuptools import setup
# Tensorflow transform version.
__version__ = '0.7.0dev'
def _make_required_install_packages():
return [
'apache-beam[gcp]>=2.4,<3',
'numpy>=1.10,<2',
# Protobuf libraries < 3.5.2 do not have 'cpp' implementation of protobufs
# for Windows and Mac.
'protobuf>=3.5.2,<4',
'six>=1.9,<2',
]
setup(
name='tensorflow-transform',
version=__version__,
author='Google Inc.',
author_email='tf-transform-feedback@google.com',
license='Apache 2.0',
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',
'Programming Language :: Python :: 2',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 2 :: Only',
'Topic :: Scientific/Engineering',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'Topic :: Scientific/Engineering :: Mathematics',
'Topic :: Software Development',
'Topic :: Software Development :: Libraries',
'Topic :: Software Development :: Libraries :: Python Modules',
],
namespace_packages=[],
install_requires=_make_required_install_packages(),
python_requires='>=2.7,<3',
packages=find_packages(),
include_package_data=True,
description='A library for data preprocessing with TensorFlow',
requires=[])