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setup.py
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from setuptools import setup, find_packages
# import os
# import sys
setup(
name='crowdtruth',
version='2.1',
description=
"Disagreement based metrics for the processing and evaluation of crowdsourced annotations",
long_description=
("CrowdTruth is an approach to machine-human computing for collecting annotation data on " +
"text, images and videos. The approach is focussed specifically on collecting annotation" +
" data by capturing and interpreting inter-annotator disagreement. "),
classifiers=[
'Development Status :: 4 - Beta',
'Intended Audience :: Developers',
'Intended Audience :: Education',
'Intended Audience :: Information Technology',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: Apache Software License',
'Operating System :: OS Independent',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
'Topic :: Scientific/Engineering',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'Topic :: Scientific/Engineering :: Human Machine Interfaces',
'Topic :: Scientific/Engineering :: Information Analysis',
# 'Topic :: Scientific/Engineering :: Crowdsourcing',
'Topic :: Text Processing',
'Topic :: Text Processing :: Linguistic'],
keywords=['CrowdTruth', 'crowdsourcing', 'disagreement', \
'metrics', 'crowdflower', 'amazon mechanical turk'],
author='Vrije Universiteit Amsterdam',
author_email='crowdwatson@gmail.com',
url='http://crowdtruth.org',
license='Apache 2.0',
download_url='https://github.com/CrowdTruth/CrowdTruth-core/archive/2.1.zip',
packages=find_packages(exclude=['ez_setup', 'examples', 'tests']),
include_package_data=True,
zip_safe=False,
test_suite='test',
install_requires=[
'pymodm>=0.3.0',
'pandas>=0.23.1',
'numpy>=1.13.3',
'scipy>=1.0.0',
'chardet>=3.0.4',
'coverage>=4.5.1',
'codecov>=2.0.15',
'dateparser>=0.7.0'
],
setup_requires=["pytest-runner"],
tests_require=["pytest"],
entry_points="""
[console_scripts]
CrowdTruth = crowdtruth:CrowdTruth
""",
)