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setup.py
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setup.py
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"""A setuptools based setup module.
See:
https://packaging.python.org/en/latest/distributing.html
https://github.com/pypa/sampleproject
"""
# Copyright 2018 Intentionet
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# Always prefer setuptools over distutils
from setuptools import setup, find_packages
from os import path
here = path.abspath(path.dirname(__file__))
about = {}
with open(path.join(here, 'netconan', '__version__.py'), 'r') as f:
exec(f.read(), about)
with open(path.join(here, 'README.rst')) as f:
readme = f.read()
setup(
name=about['__name__'],
# Versions should comply with PEP440. For a discussion on single-sourcing
# the version across setup.py and the project code, see
# https://packaging.python.org/en/latest/single_source_version.html
version=about['__version__'],
description=about['__desc__'],
long_description=readme,
# The project's main homepage.
url=about['__url__'],
# Author details
author='Intentionet',
author_email='netconan-dev@intentionet.com',
# Choose your license
license='Apache License 2.0',
# What does your project relate to?
keywords='network configuration anonymizer',
# You can just specify the packages manually here if your project is
# simple. Or you can use find_packages().
packages=find_packages(exclude=['contrib', 'docs', 'tests']),
# Alternatively, if you want to distribute just a my_module.py, uncomment
# this:
# py_modules=["my_module"],
# List run-time dependencies here. These will be installed by pip when
# your project is installed. For an analysis of "install_requires" vs pip's
# requirements files see:
# https://packaging.python.org/en/latest/requirements.html
install_requires=[
'configargparse<1.0.0',
'bidict<1.0.0',
# Only use enum34 for Python older than 3.4
'enum34<2.0.0; python_version < "3.4"',
'ipaddress<2.0.0',
'passlib<2.0.0',
'six<2.0.0'
],
# List additional groups of dependencies here (e.g. development
# dependencies). You can install these using the following syntax,
# for example:
# $ pip install -e .[dev,test]
extras_require={
'dev': [
'flake8<4.0.0',
'flake8-docstrings<2.0.0',
'pydocstyle<4.0.0'
],
# 'test': ['coverage', 'pytz'],
},
# List pytest requirements for running unit tests
setup_requires=['pytest-runner<6.0'],
# pytest 5+ does not support Python 2
tests_require=[
'pytest>=4.2.0,<5.0.0',
'pytest-cov<3.0.0',
'requests_mock<2.0.0',
'testfixtures<7.0.0',
# zipp 2.2 does not work w/ Python < 3.6
'zipp<2.2',
],
# If there are data files included in your packages that need to be
# installed, specify them here. If using Python 2.6 or less, then these
# have to be included in MANIFEST.in as well.
package_data={},
# Although 'package_data' is the preferred approach, in some case you may
# need to place data files outside of your packages. See:
# http://docs.python.org/3.4/distutils/setupscript.html#installing-additional-files # noqa
# In this case, 'data_file' will be installed into '<sys.prefix>/my_data'
data_files=[],
# To provide executable scripts, use entry points in preference to the
# "scripts" keyword. Entry points provide cross-platform support and allow
# pip to create the appropriate form of executable for the target platform.
entry_points={
'console_scripts': [
'netconan = netconan.netconan:main',
],
},
)