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68 lines (50 loc) · 2.21 KB
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from setuptools import setup, find_packages
from codecs import open
from os import path
here = path.abspath(path.dirname(__file__))
# Get the long description from the README file
with open(path.join(here, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
setup(
name='retina',
# 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='1.0.0',
description='A tool for creating dynamic, interactive scientific visualizations.',
long_description=long_description,
url='https://github.com/mcneela/retina.git',
author='Daniel McNeela',
author_email='[email protected]',
# Choose your license
license='Copyright 2016, Daniel McNeela. All rights reserved.',
classifiers=[
'Development Status :: 3 - Alpha',
'Intended Audience :: Developers',
'Intended Audience :: Science/Research',
'Intended Audience :: Education',
# Pick your license as you wish (should match "license" above)
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'Topic :: Scientific/Engineering :: Visualization',
'Topic :: Scientific/Engineering :: Mathematics',
'Programming Language :: Python :: 2',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.4',
'Programming Language :: Python :: 3.5',
'Operating System :: Microsoft :: Windows',
'Operating System :: MacOS :: MacOS X',
'Operating System :: POSIX :: Linux'
],
keywords='scientific visualization, machine learning, matplotlib, dynamical systems, research, teaching',
packages=find_packages(exclude=['contrib', 'docs', 'tests']),
install_requires=[
'matplotlib>=1.5.0',
'scikit-learn>=0.17',
'pydstool>=0.90'
],
# 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={
})