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Tip revision: ab041d2f98e60c8d24a4ecf474baa9978c6c76c7 authored by Jesper Nielsen on 22 July 2022, 13:51:26 UTC
Make tf_decorator.make_decorator configurable. (#1942)
Tip revision: ab041d2
setup.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-

# pylint: skip-file

from setuptools import find_packages, setup

##### Dependencies of GPflow

requirements = [
    "deprecated",
    "lark>=1.1.0",
    "multipledispatch>=0.6",
    "numpy",
    "packaging",
    "scipy",
    "setuptools>=41.0.0",  # to satisfy dependency constraints
    "tabulate",
    "tensorflow-probability>=0.12.0",
    "tensorflow>=2.4.0; platform_system!='Darwin' or platform_machine!='arm64'",
    # NOTE: Support of Apple Silicon MacOS platforms is in an experimental mode
    "tensorflow-macos>=2.4.0; platform_system=='Darwin' and platform_machine=='arm64'",
    # NOTE: once we require tensorflow-probability>=0.12, we can remove our custom deepcopy handling
    "typing_extensions",
]


def read_file(filename: str) -> str:
    with open(filename, encoding="utf-8") as f:
        return f.read().strip()


version = read_file("VERSION")
readme_text = read_file("README.md")

packages = find_packages(".", exclude=["tests"])

setup(
    name="gpflow",
    version=version,
    author="James Hensman, Alex Matthews",
    author_email="james.hensman@gmail.com",
    description="Gaussian process methods in TensorFlow",
    long_description=readme_text,
    long_description_content_type="text/markdown",
    license="Apache License 2.0",
    keywords="machine-learning gaussian-processes kernels tensorflow",
    url="https://www.gpflow.org",
    project_urls={
        "Source on GitHub": "https://github.com/GPflow/GPflow",
        "Documentation": "https://gpflow.github.io/GPflow/",
    },
    packages=packages,
    package_data={"": ["*.lark"]},
    include_package_data=True,
    install_requires=requirements,
    extras_require={"ImageToTensorBoard": ["matplotlib"]},
    python_requires=">=3.7",
    classifiers=[
        "Development Status :: 5 - Production/Stable",
        "Environment :: GPU :: NVIDIA CUDA",
        "Intended Audience :: Developers",
        "Intended Audience :: Education",
        "Intended Audience :: Science/Research",
        "License :: OSI Approved :: Apache Software License",
        "Natural Language :: English",
        "Operating System :: MacOS :: MacOS X",
        "Operating System :: Microsoft :: Windows",
        "Operating System :: POSIX :: Linux",
        "Programming Language :: Python :: 3.7",
        "Programming Language :: Python :: 3.8",
        "Programming Language :: Python :: 3.9",
        "Programming Language :: Python :: 3.10",
        "Topic :: Scientific/Engineering :: Artificial Intelligence",
        "Typing :: Typed",
    ],
)
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