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setup.py
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#!/usr/bin/env python3
import re
import os
import io
from setuptools import setup, find_packages
# 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")
# See if we have the development version of pytorch installed
# We will skip installing the stable version of PyTOrch if this is true
try:
import torch
has_dev_pytorch = "dev" in torch.__version__
except ImportError:
has_dev_pytorch = False
# Base equirements
install_requires = [
"torch>=1.0.0",
]
if has_dev_pytorch: # Remove the PyTorch requirement
install_requires = [
install_require for install_require in install_requires
if "torch" != re.split(r"(=|<|>)", install_require)[0]
]
# Run the setup
setup(
name="gpytorch",
version=version,
description="An implementation of Gaussian Processes in Pytorch",
long_description=readme,
author="Jake Gardner, Geoff Pleiss",
url="https://gpytorch.ai",
author_email="[email protected], [email protected]",
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",
],
"docs": [
"ipython",
"ipykernel",
"sphinx",
"sphinx_rtd_theme",
"nbsphinx",
"m2r",
],
"examples": [
"ipython",
"jupyter",
"matplotlib",
"scipy",
"torchvision",
],
"pyro": [
"pyro-ppl>=0.3.0",
],
"test": [
"flake8",
"flake8-print",
]
},
)