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setup.py
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setup.py
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#!/usr/bin/env python3
import io
import os
import re
from setuptools import find_packages, setup
# Get version
def read(*names, **kwargs):
with io.open(os.path.join(os.path.dirname(__file__), *names), encoding=kwargs.get("encoding", "utf8")) as fp:
return fp.read()
def find_version(*file_paths):
version_file = read(*file_paths)
version_match = re.search(r"^__version__ = ['\"]([^'\"]*)['\"]", version_file, re.M)
if version_match:
return version_match.group(1)
raise RuntimeError("Unable to find version string.")
readme = open("README.md").read()
version = find_version("gpytorch", "__init__.py")
torch_min = "1.7"
install_requires = [">=".join(["torch", torch_min]), "scikit-learn", "scipy"]
# if recent dev version of PyTorch is installed, no need to install stable
try:
import torch
if torch.__version__ >= torch_min:
install_requires = []
except ImportError:
pass
# Run the setup
setup(
name="gpytorch",
version=version,
description="An implementation of Gaussian Processes in Pytorch",
long_description=readme,
long_description_content_type="text/markdown",
author="Jake Gardner, Geoff Pleiss",
url="https://gpytorch.ai",
author_email="jrg365@cornell.edu, gpleiss@gmail.com",
project_urls={
"Documentation": "https://gpytorch.readthedocs.io",
"Source": "https://github.com/cornellius-gp/gpytorch/",
},
license="MIT",
classifiers=["Development Status :: 4 - Beta", "Programming Language :: Python :: 3"],
packages=find_packages(),
python_requires=">=3.6",
install_requires=install_requires,
extras_require={
"dev": ["black", "twine", "pre-commit"],
"docs": ["ipython", "ipykernel", "sphinx<3.0.0", "sphinx_rtd_theme", "nbsphinx", "m2r"],
"examples": ["ipython", "jupyter", "matplotlib", "scipy", "torchvision", "tqdm"],
"pyro": ["pyro-ppl>=1.0.0"],
"keops": ["pykeops>=1.1.1"],
"test": ["flake8", "flake8-print", "pytest", "nbval"],
},
)