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#!/usr/bin/env python
from __future__ import division, print_function, absolute_import
from setuptools import setup
import os
if os.getenv('READTHEDOCS'):
with open('requirements_docs.txt') as f:
required = f.read().splitlines()
else:
with open('requirements.txt') as f:
required = f.read().splitlines()
CLASSIFIERS = [
'Development Status :: 4 - Beta',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: BSD License',
'Programming Language :: Python',
'Programming Language :: Python :: 2',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.4',
'Topic :: Scientific/Engineering',
]
args = dict(
name='deepdish',
version='0.3.7',
url="https://github.com/uchicago-cs/deepdish",
description="Deep Learning experiments from University of Chicago.",
maintainer='Gustav Larsson',
maintainer_email='gustav.m.larsson@gmail.com',
install_requires=required,
extras_require={
'image': ["skimage"],
},
scripts=['scripts/ddls'],
packages=[
'deepdish',
'deepdish.parallel',
'deepdish.io',
'deepdish.util',
],
license='BSD',
classifiers=CLASSIFIERS,
)
setup(**args)
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