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setup.py
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setup.py
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import sys
from setuptools import find_packages, setup
VERSION = "0.2.0"
try:
long_description = open("README.rst", encoding="utf-8").read()
except Exception as e:
sys.stderr.write("Failed to read README: {}\n".format(e))
sys.stderr.flush()
long_description = ""
# examples/tutorials
EXTRAS_REQUIRE = [
"jupyter",
"graphviz",
"matplotlib",
"pandas",
"seaborn",
"pytorch-lightning",
"scikit-image",
"tensorboard",
]
DYNAMICAL_REQUIRE = ["torchdiffeq"]
setup(
name="chirho",
version=VERSION,
description="Causal reasoning",
long_description=long_description,
packages=find_packages(include=["chirho", "chirho.*"]),
author="Basis",
url="https://www.basis.ai/",
project_urls={
# "Documentation": "",
"Source": "https://github.com/BasisResearch/chirho",
},
install_requires=[
# if you add any additional libraries, please also
# add them to `docs/source/requirements.txt`
"pyro-ppl>=1.8.5",
],
extras_require={
"dynamical": DYNAMICAL_REQUIRE,
"extras": EXTRAS_REQUIRE,
"test": EXTRAS_REQUIRE + DYNAMICAL_REQUIRE
+ [
"pytest",
"pytest-cov",
"pytest-xdist",
"mypy",
"black",
"flake8",
"isort",
"sphinx==7.1.2",
"sphinxcontrib-bibtex",
"sphinx_rtd_theme==1.3.0",
"myst_parser",
"nbsphinx",
"nbval",
],
},
python_requires=">=3.8",
keywords="machine learning statistics probabilistic programming bayesian modeling pytorch",
license="Apache 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 :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
],
# yapf
)