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setup.py
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setup.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
# For a fully annotated version of this file and what it does, see
# https://github.com/pypa/sampleproject/blob/master/setup.py
# To upload this file to PyPI you must build it then upload it:
# python setup.py sdist bdist_wheel # build in 'dist' folder
# python-m twine upload dist/* # 'twine' must be installed: 'pip install twine'
import ast
import io
import re
import os
from setuptools import find_packages, setup
DEPENDENCIES = []
EXCLUDE_FROM_PACKAGES = ["contrib", "docs", "tests*"]
CURDIR = os.path.abspath(os.path.dirname(__file__))
with io.open(os.path.join(CURDIR, "README.md"), "r", encoding="utf-8") as f:
README = f.read()
def get_version():
main_file = os.path.join(CURDIR, "kmeans_pytorch", "main.py")
_version_re = re.compile(r"__version__\s+=\s+(?P<version>.*)")
with open(main_file, "r", encoding="utf8") as f:
match = _version_re.search(f.read())
version = match.group("version") if match is not None else '"unknown"'
return str(ast.literal_eval(version))
setup(
name="kmeans_pytorch",
version=get_version(),
author="Subhadarshi",
author_email="subhadarshipanda08@gmail.com",
description="",
long_description=README,
long_description_content_type="text/markdown",
url="https://github.com/subhadarship/kmeans_pytorch",
packages=find_packages(exclude=EXCLUDE_FROM_PACKAGES),
include_package_data=True,
keywords=[],
scripts=[],
entry_points={"console_scripts": ["kmeans_pytorch=kmeans_pytorch.main:main"]},
zip_safe=False,
install_requires=DEPENDENCIES,
test_suite="tests.test_project",
python_requires=">=3.6",
# license and classifier list:
# https://pypi.org/pypi?%3Aaction=list_classifiers
license="License :: OSI Approved :: MIT License",
classifiers=[
"Programming Language :: Python",
# "Programming Language :: Python :: 3",
# "Operating System :: OS Independent",
# "Private :: Do Not Upload"
],
)