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setup.py
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setup.py
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# Copyright 2022 JaxGaussianProcesses Contributors. 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.
# ==============================================================================
from setuptools import find_packages, setup
import versioneer
import os
readme = open("README.md").read()
NAME = "jaxutils"
# Handle builds of nightly release
if "BUILD_JAXUTILS_NIGHTLY" in os.environ:
NAME += "-nightly"
from versioneer import get_versions as original_get_versions
def get_versions():
from datetime import datetime, timezone
suffix = datetime.now(timezone.utc).strftime(r".dev%Y%m%d")
versions = original_get_versions()
versions["version"] = versions["version"].split("+")[0] + suffix
return versions
versioneer.get_versions = get_versions
REQUIRES = ["jax>=0.4.0",
"jaxlib>=0.4.0",
"jaxtyping",
"ml-collections==0.1.0",
"distrax>=0.1.2",
]
EXTRAS = {
"dev": [
"black",
"isort",
"pylint",
"flake8",
"pytest",
"pytest-cov",
],
"cuda": ["jax[cuda]"],
}
setup(
name=NAME,
version=versioneer.get_version(),
cmdclass=versioneer.get_cmdclass(),
author="Daniel Dodd and Thomas Pinder",
author_email="tompinder@live.co.uk",
packages=find_packages(".", exclude=["tests"]),
license="LICENSE",
description="Utility functions for JaxGaussianProcesses",
long_description=readme,
long_description_content_type="text/markdown",
project_urls={
"Documentation": "https://JaxUitls.readthedocs.io/en/latest/",
"Source": "https://github.com/JaxGaussianProcesses/JaxUitls",
},
install_requires=REQUIRES,
tests_require=EXTRAS["dev"],
extras_require=EXTRAS,
keywords=["gaussian-processes jax machine-learning bayesian"],
)