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setup.py
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setup.py
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#!/usr/bin/env python
# vim: set fileencoding=utf-8 :
# I used the following resources to compile the packaging boilerplate:
# https://python-packaging.readthedocs.io/en/latest/
# https://packaging.python.org/distributing/#requirements-for-packaging-and-distributing
from setuptools import find_packages, setup
def readme():
with open('README.md') as f:
return f.read()
setup(name='gold-standard',
version='0.2.0',
description='This package contains scripts used in creating or testing '
'the corpus.',
long_description=readme(),
url='https://github.com/ELTE-DH/gold-standard',
author='Andrea Dömötör, Dávid Márk Nemeskey',
license='LGPL',
classifiers=[
# How mature is this project? Common values are
# 3 - Alpha
# 4 - Beta
# 5 - Production/Stable
'Development Status :: 3 - Alpha',
# Indicate who your project is intended for
'Intended Audience :: Science/Research',
'Topic :: Scientific/Engineering :: Information Analysis',
# This one is not in the list...
'Topic :: Scientific/Engineering :: Natural Language Processing',
# Environment
'Operating System :: POSIX :: Linux',
'Environment :: Console',
'Natural Language :: English',
# Pick your license as you wish (should match "license" above)
'License :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)',
# Specify the Python versions you support here. In particular, ensure
# that you indicate whether you support Python 2, Python 3 or both.
'Programming Language :: Python :: 3.10',
],
keywords='gold standard corpus hungarian',
packages=find_packages(exclude=['scripts']),
# Install the scripts
scripts=[
'scripts/xml_to_spacy.py',
],
install_requires=[
'spacy',
'tqdm',
],
# zip_safe=False,
use_2to3=False)