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setup.py
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setup.py
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# Copyright Contributors to the Pyro project.
# SPDX-License-Identifier: Apache-2.0
from __future__ import absolute_import, division, print_function
import os
import sys
from setuptools import find_packages, setup
PROJECT_PATH = os.path.dirname(os.path.abspath(__file__))
# Find version
for line in open(os.path.join(PROJECT_PATH, 'numpyro', 'version.py')):
if line.startswith('__version__ = '):
version = line.strip().split()[2][1:-1]
# READ README.md for long description on PyPi.
try:
long_description = open('README.md', encoding='utf-8').read()
except Exception as e:
sys.stderr.write('Failed to read README.md:\n {}\n'.format(e))
sys.stderr.flush()
long_description = ''
setup(
name='numpyro',
version=version,
description='Pyro PPL on NumPy',
packages=find_packages(include=['numpyro', 'numpyro.*']),
url='https://github.com/pyro-ppl/numpyro',
author='Uber AI Labs',
install_requires=[
# TODO: pin to a specific version for the release (until JAX's API becomes stable)
'jax==0.2.10',
# check min version here: https://github.com/google/jax/blob/master/jax/lib/__init__.py#L26
'jaxlib==0.1.62',
'tqdm',
],
extras_require={
'doc': ['nbsphinx', 'sphinx', 'sphinx_rtd_theme', 'sphinx-gallery'],
'test': [
'flake8',
'pytest>=4.1',
'pyro-api>=0.1.1',
'scipy>=1.1',
],
'dev': [
'dm-haiku',
'flax',
'funsor',
'ipython',
'isort',
'tensorflow_probability',
],
'examples': ['matplotlib', 'seaborn', 'graphviz', 'arviz'],
},
long_description=long_description,
long_description_content_type='text/markdown',
keywords='probabilistic machine learning bayesian statistics',
license='Apache License 2.0',
classifiers=[
'Intended Audience :: Developers',
'Intended Audience :: Education',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: Apache Software License',
'Operating System :: POSIX :: Linux',
'Operating System :: MacOS :: MacOS X',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: 3.9',
],
)