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setup.py
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setup.py
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#!/usr/bin/env python
"""The setup script."""
from setuptools import setup, find_packages
with open('README.rst') as readme_file:
readme = readme_file.read()
with open('HISTORY.rst') as history_file:
history = history_file.read()
requirements = ['click>=7.0', 'pandas', 'fasttext~=0.9.2', 'spacy', 'textdistance']
setup_requirements = ['pytest-runner', ]
test_requirements = ['pytest>=3', ]
setup(
author="Software Engineering Laboratory of Fudan University",
author_email='[email protected]',
python_requires='>=3.6',
classifiers=[
'Development Status :: 2 - Pre-Alpha',
'Intended Audience :: Developers',
'License :: OSI Approved :: BSD License',
'Natural Language :: English',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
],
description="Provides a knowledge system constructed from functionality categories, verbs, and phrase patterns, as well as functionality for fine-grained analysis of functionality descriptions based on this knowledge system",
entry_points={
'console_scripts': [
'funcverbnet=funcverbnet.cli:main',
],
},
install_requires=requirements,
license="BSD license",
long_description=readme + '\n\n' + history,
packages=find_packages(include=['funcverbnet', 'funcverbnet.*']),
# include_package_data=True,
package_data={
# If any package contains *.json files, include them:
'funcverbnet': [
"data/*.json",
"data/*.bin",
"data/*.zip",
"data/*.csv",
"data/*.txt",
"classifier/model/*.model"
],
},
keywords='funcverbnet',
name='funcverbnet',
setup_requires=setup_requirements,
test_suite='tests',
tests_require=test_requirements,
url='https://github.com/FudanSELab/funcverbnet',
version='0.2.21',
zip_safe=False,
)