Revision 09231407662aef2516d98c5e00378e01f687ee34 authored by sc336 on 24 January 2023, 13:44:51 UTC, committed by GitHub on 24 January 2023, 13:44:51 UTC
Squash merge master into develop. Co-authored-by: sc336 <s.chiu.00@gmail.com> Co-authored-by: Jesper Nielsen <44195043+jesnie@users.noreply.github.com> Co-authored-by: John Mcleod <43960404+johnamcleod@users.noreply.github.com> Co-authored-by: Jesper Nielsen <44195043+jesnie@users.noreply.github.com> Co-authored-by: Chris Morter <chris@prowler.io>
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setup.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# pylint: skip-file
from setuptools import find_packages, setup
##### Dependencies of GPflow
requirements = [
"check_shapes>=1.0.0",
"deprecated",
"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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