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setup.py
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setup.py
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# Copyright 2018 The TensorFlow Authors. 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.
# ==============================================================================
"""Setup for pip package."""
import os
from setuptools import find_packages
from setuptools import setup
from setuptools.command.install import install
from setuptools.dist import Distribution
# struct2tensor is not a purelib. However because of the extension module is not
# built by setuptools, it will be incorrectly treated as a purelib. The
# following works around that bug.
class _InstallPlatlib(install):
def finalize_options(self):
install.finalize_options(self)
self.install_lib = self.install_platlib
class BinaryDistribution(Distribution):
"""This class is needed in order to create OS specific wheels."""
def is_pure(self):
return False
def has_ext_modules(self):
return True
def select_constraint(default, nightly=None, git_master=None):
"""Select dependency constraint based on TFX_DEPENDENCY_SELECTOR env var."""
selector = os.environ.get('TFX_DEPENDENCY_SELECTOR')
if selector == 'UNCONSTRAINED':
return ''
elif selector == 'NIGHTLY' and nightly is not None:
return nightly
elif selector == 'GIT_MASTER' and git_master is not None:
return git_master
else:
return default
# Get the long description from the README file.
with open('README.md') as fp:
_LONG_DESCRIPTION = fp.read()
with open('struct2tensor/version.py') as fp:
globals_dict = {}
exec(fp.read(), globals_dict) # pylint: disable=exec-used
__version__ = globals_dict['__version__']
setup(
name='struct2tensor',
version=__version__,
description=(
'Struct2Tensor is a package for parsing and manipulating'
' structured data for TensorFlow'
),
author='Google LLC',
author_email='[email protected]',
# Contained modules and scripts.
packages=find_packages(),
install_requires=[
# TODO(b/263060885): Remove the explicit numpy dependency once TF works
# with numpy>=1.24.
'numpy>=1.22',
'protobuf>=4.25.2,<6;python_version>="3.11"',
'protobuf>=3.20.3,<5;python_version<"3.11"',
'tensorflow>=2.16,<2.17',
'tensorflow-metadata'
+ select_constraint(
default='>=1.16.1,<1.17.0',
nightly='>=1.17.0.dev',
git_master='@git+https://github.com/tensorflow/metadata@master',
),
'pyarrow>=10,<11',
],
# Add in any packaged data.
include_package_data=True,
package_data={'': ['*.lib', '*.so']},
zip_safe=False,
distclass=BinaryDistribution,
# PyPI package information.
classifiers=[
'Development Status :: 4 - Beta',
'Intended Audience :: Developers',
'Intended Audience :: Education',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: Apache Software License',
'Operating System :: MacOS :: MacOS X',
'Operating System :: POSIX :: Linux',
'Programming Language :: Python',
'Programming Language :: Python :: 3.9',
'Programming Language :: Python :: 3.10',
'Programming Language :: Python :: 3.11',
'Programming Language :: Python :: 3 :: 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',
],
license='Apache 2.0',
keywords='tensorflow protobuf machine learning',
long_description=_LONG_DESCRIPTION,
long_description_content_type='text/markdown',
cmdclass={'install': _InstallPlatlib},
)