Files
deb-python-dcos/setup.py
Tamar Ben-Shachar 5b014d0496 speed up time to return from _help
On my machine this speed up `dcos` from ~1.2s to ~.6s.
2015-04-20 12:56:38 -07:00

83 lines
2.6 KiB
Python
Executable File

from codecs import open
from os import path
import dcos
from setuptools import find_packages, setup
here = path.abspath(path.dirname(__file__))
# Get the long description from the relevant file
with open(path.join(here, 'README.rst'), encoding='utf-8') as f:
long_description = f.read()
setup(
name='dcos',
# 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=dcos.version,
description='DCOS Common Modules',
long_description=long_description,
# The project's main homepage.
url='https://github.com/mesosphere/dcos-cli',
# Author details
author='Mesosphere, Inc.',
author_email='team@mesosphere.io',
# See https://pypi.python.org/pypi?%3Aaction=list_classifiers
classifiers=[
# How mature is this project? Common values are
# 3 - Alpha
# 4 - Beta
# 5 - Production/Stable
'Development Status :: 3 - Alpha',
# Indicate who your project is intended for
'Intended Audience :: Developers',
'Intended Audience :: Information Technology',
'Topic :: Software Development :: User Interfaces',
# Pick your license as you wish (should match "license" above)
'License :: OSI Approved :: Apache Software License',
# Specify the Python versions you support here. In particular, ensure
# that you indicate whether you support Python 2, Python 3 or both.
'Programming Language :: Python :: 2',
'Programming Language :: Python :: 2.6',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.2',
'Programming Language :: Python :: 3.3',
'Programming Language :: Python :: 3.4',
],
# What does your project relate to?
keywords='mesos apache marathon mesosphere command datacenter',
# You can just specify the packages manually here if your project is
# simple. Or you can use find_packages().
packages=find_packages(exclude=['pydoc', 'tests', 'cli', 'bin']),
# 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=[
'gitpython',
'jsonschema',
'pager',
'portalocker',
'pygments',
'pystache',
'requests',
'six',
'toml',
'futures',
],
)