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import os
import imp
from setuptools import setup
from setuptools import find_packages
VERSION = imp.load_source(
'ivis.version', os.path.join('ivis', 'version.py')).VERSION
with open('README.md') as f:
long_description = f.read()
setup(name='ivis',
version=VERSION,
description='Artificial neural network-driven visualization of high-dimensional data using triplets.',
long_description=long_description,
long_description_content_type='text/markdown',
url='http://github.com/beringresearch/ivis',
author='Benjamin Szubert, Ignat Drozdov',
author_email='bszubert@beringresearch.com, idrozdov@beringresearch.com',
license='GNU General Public License v2.0',
packages=find_packages(),
install_requires=[
'tensorflow',
'keras',
'numpy',
'scikit-learn',
'annoy>=1.15.2',
'tqdm'
],
extras_require={
'tests': ['pytest'],
'visualization': ['matplotlib', 'seaborn']
},
classifiers=[
"Programming Language :: Python :: 3",
"Operating System :: OS Independent",
],
zip_safe=False)
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