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"""A setuptools based setup module.
See:
https://packaging.python.org/en/latest/distributing.html
https://github.com/rsheftel/raccoon
"""
# Always prefer setuptools over distutils
from setuptools import setup, find_packages
# To use a consistent encoding
from codecs import open
from os import path
import sys
here = path.abspath(path.dirname(__file__))
# Get the long description from the README file
with open(path.join(here, 'README.rst'), encoding='utf-8') as f:
long_description = f.read()
needs_pytest = {'pytest', 'test', 'ptr'}.intersection(sys.argv)
pytest_runner = ['pytest-runner'] if needs_pytest else []
setup(
name='raccoon',
version='2.1.5',
description='Python DataFrame with fast insert and appends',
long_description=long_description,
# The project's main homepage.
url='https://github.com/rsheftel/raccoon',
# Author details
author='Ryan Sheftel',
author_email='rsheftel@alumni.upenn.edu',
# Choose your license
license='MIT',
# See https://pypi.python.org/pypi?%3Aaction=list_classifiers
classifiers=[
# How mature is this project? Common values are
# 4 - Beta
# 5 - Production/Stable
'Development Status :: 5 - Production/Stable',
# Indicate who your project is intended for
'Intended Audience :: Developers',
'Topic :: Software Development',
# Pick your license as you wish (should match "license" above)
'License :: OSI Approved :: MIT 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 :: 2.7',
'Programming Language :: Python :: 3.3',
'Programming Language :: Python :: 3.4',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
],
# What does your project relate to?
keywords='dataframe data structure',
# You can just specify the packages manually here if your project is
# simple. Or you can use find_packages().
packages=find_packages(exclude=['docs', 'examples', '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=['blist', 'tabulate', 'six'],
setup_requires=pytest_runner,
tests_require=[
'pytest',
]
)
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