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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 tf.Transform."""
import os
from pathlib import Path
from setuptools import find_packages, setup
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 version from version module.
with open("tensorflow_transform/version.py") as fp:
globals_dict = {}
exec(fp.read(), globals_dict) # pylint: disable=exec-used
__version__ = globals_dict["__version__"]
def _make_required_install_packages():
# Make sure to sync the versions of common dependencies (absl-py, numpy, and
# protobuf) with TF and pyarrow version with tfx-bsl.
return [
"absl-py>=0.9,<2.0.0",
"apache-beam[gcp]>=2.53,<3",
"numpy>=1.22.0",
"protobuf>=6.0.0,<7.0.0",
"pyarrow>14",
"pydot>=1.2,<2",
"tensorflow>=2.21,<2.22",
"tensorflow-metadata"
+ select_constraint(
default=">=1.17.1,<1.18.0",
nightly=">=1.18.0.dev",
git_master="@git+https://github.com/tensorflow/metadata@master",
),
"tf_keras>=2",
"tfx-bsl@git+https://github.com/vkarampudi/tfx-bsl.git@testing",
]
def _make_docs_packages():
return [
req
for req in Path("./requirements-docs.txt")
.expanduser()
.resolve()
.read_text()
.splitlines()
if req
]
# Get the long description from the README file.
with open("README.md") as fp:
_LONG_DESCRIPTION = fp.read()
setup(
name="tensorflow-transform",
version=__version__,
author="Google Inc.",
author_email="tensorflow-extended-dev@googlegroups.com",
license="Apache 2.0",
classifiers=[
"Development Status :: 5 - Production/Stable",
"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 :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"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",
],
namespace_packages=[],
install_requires=_make_required_install_packages(),
extras_require={
"dev": ["pre-commit"],
"test": ["pytest>=8.0"],
"docs": _make_docs_packages(),
},
python_requires=">=3.10,<4",
packages=find_packages(),
include_package_data=True,
package_data={"tensorflow_transform": ["py.typed", "requirements-docs.txt"]},
description="A library for data preprocessing with TensorFlow",
long_description=_LONG_DESCRIPTION,
long_description_content_type="text/markdown",
keywords="tensorflow transform tfx",
url="https://www.tensorflow.org/tfx/transform/get_started",
download_url="https://github.com/tensorflow/transform/tags",
requires=[],
)