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# Copyright 2019 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 to install Fairness Indicators."""
import os
import sys
from pathlib import Path
import setuptools
if sys.version_info >= (3, 14):
sys.exit("Sorry, Python >= 3.14 is not supported")
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
REQUIRED_PACKAGES = [
"tensorflow>=2.21,<2.22",
"tensorflow-hub>=0.16.1,<1.0.0",
"tensorflow-data-validation>=1.21.0,<1.22.0",
"tensorflow-model-analysis>=0.52.0,<0.53.0",
"witwidget>=1.4.4,<2",
"protobuf>=6.0.0,<7.0.0",
"numpy>=1.23.5,<2.0.0; python_version < '3.13'",
"numpy>=2.1.0; python_version >= '3.13'",
]
TEST_PACKAGES = [
"pytest>=8.3.0,<9",
]
with open(Path("./requirements-docs.txt").expanduser().absolute()) as f:
DOCS_PACKAGES = [req.strip() for req in f.readlines()]
# Get version from version module.
with open("fairness_indicators/version.py") as fp:
globals_dict = {}
exec(fp.read(), globals_dict) # pylint: disable=exec-used
__version__ = globals_dict["__version__"]
with open("README.md", encoding="utf-8") as fh:
long_description = fh.read()
setuptools.setup(
name="fairness_indicators",
version=__version__,
description="Fairness Indicators",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/tensorflow/fairness-indicators",
author="Google LLC",
author_email="packages@tensorflow.org",
packages=setuptools.find_packages(exclude=["tensorboard_plugin"]),
package_data={
"fairness_indicators": ["documentation/*"],
},
python_requires=">=3.10,<4",
install_requires=REQUIRED_PACKAGES,
tests_require=REQUIRED_PACKAGES,
extras_require={"docs": DOCS_PACKAGES, "test": TEST_PACKAGES, "dev": "pre-commit"},
# 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 :: OS Independent",
"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 :: Mathematics",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Software Development",
"Topic :: Software Development :: Libraries",
"Topic :: Software Development :: Libraries :: Python Modules",
],
license="Apache 2.0",
keywords=(
"tensorflow model analysis fairness indicators tensorboard machine" " learning"
),
)