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setup.py
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setup.py
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# Copyright (c) Meta Platforms, Inc
import os
import sys
from setuptools import find_packages, setup
REQUIRED_MAJOR = 3
REQUIRED_MINOR = 7
TEST_REQUIRES = ["numpy", "pytest", "pytest-cov", "scipy"]
DEV_REQUIRES = TEST_REQUIRES + [
"black",
"flake8",
"flake8-bugbear",
"mypy",
"toml",
"usort==1.0.2",
]
# Check for python version
if sys.version_info < (REQUIRED_MAJOR, REQUIRED_MINOR):
error = (
"Your version of python ({major}.{minor}) is too old. You need "
"python >= {required_major}.{required_minor}."
).format(
major=sys.version_info.major,
minor=sys.version_info.minor,
required_minor=REQUIRED_MINOR,
required_major=REQUIRED_MAJOR,
)
sys.exit(error)
# read in README.md as the long description
with open("README.md") as fh:
long_description = fh.read()
setup(
name="flowtorch",
description="Normalizing Flows for PyTorch",
author="FlowTorch Development Team",
author_email="[email protected]",
license="MIT",
url="https://flowtorch.ai/users",
project_urls={
"Documentation": "https://flowtorch.ai/users",
"Source": "https://www.github.com/facebookincubator/flowtorch",
},
keywords=[
"Deep Learning",
"Bayesian Inference",
"Statistical Modeling",
"Variational Inference",
"PyTorch",
],
classifiers=[
"Development Status :: 3 - Alpha",
"Programming Language :: Python :: 3 :: Only",
"License :: OSI Approved :: MIT License",
"Topic :: Scientific/Engineering",
"Intended Audience :: Science/Research",
"Intended Audience :: Developers",
],
long_description=long_description,
long_description_content_type="text/markdown",
python_requires=f">={REQUIRED_MAJOR}.{REQUIRED_MINOR}",
install_requires=[
"torch>=1.8.1",
],
setup_requires=["setuptools_scm"],
use_scm_version={
"root": ".",
"relative_to": __file__,
"write_to": os.path.join("flowtorch", "version.py"),
},
packages=find_packages(
include=["flowtorch", "flowtorch.*"],
exclude=["debug", "tests", "website", "examples", "scripts"],
),
extras_require={
"dev": DEV_REQUIRES,
"test": TEST_REQUIRES,
},
)