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from setuptools import setup, find_packages
import os
import versioneer
long_description = """
*AlphaTwirl* is a python library that loops over event data and
summarizes them into multi-dimensional categorical data as data
frames. Event data, input to AlphaTwirl, are data with one entry (or
row) for one event: for example, data in `ROOT
<https://root.cern.ch/>`__ `TTrees
<https://root.cern.ch/doc/master/classTTree.html>`__ with one entry
per collision event of an `LHC
<https://home.cern/topics/large-hadron-collider>`__ experiment at
`CERN <http://home.cern/>`__. Event data are often large---too large
to be loaded in memory---because they have as many entries as events.
Multi-dimensional categorical data, the output of AlphaTwirl, have one
row for one category. They are usually small---small enough to be
loaded in memory---because they only have as many rows as categories.
Users can, for example, import them as data frames into `R
<https://www.r-project.org/>`__ and `pandas
<http://pandas.pydata.org/>`__, which usually load all data in memory,
and can perform categorical data analyses with a rich set of data
operations available in R and pandas.
"""
setup(
name='alphatwirl',
version=versioneer.get_version(),
cmdclass=versioneer.get_cmdclass(),
description='A Python library for summarizing event data',
long_description=long_description,
author='Tai Sakuma',
author_email='tai.sakuma@gmail.com',
url='https://github.com/alphatwirl/alphatwirl',
classifiers=[
'Development Status :: 4 - Beta',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: BSD License',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3.6',
],
packages=find_packages(exclude=['docs', 'images', 'tests']),
)