mirror of
https://github.com/gsi-upm/senpy
synced 2024-11-24 09:02:28 +00:00
46 lines
1.6 KiB
Python
46 lines
1.6 KiB
Python
import pip
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from setuptools import setup
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from pip.req import parse_requirements
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# parse_requirements() returns generator of pip.req.InstallRequirement objects
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try:
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install_reqs = parse_requirements("requirements.txt", session=pip.download.PipSession())
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test_reqs = parse_requirements("test-requirements.txt", session=pip.download.PipSession())
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except AttributeError:
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install_reqs = parse_requirements("requirements.txt")
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test_reqs = parse_requirements("test-requirements.txt")
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# reqs is a list of requirement
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# e.g. ['django==1.5.1', 'mezzanine==1.4.6']
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install_reqs = [str(ir.req) for ir in install_reqs]
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test_reqs = [str(ir.req) for ir in test_reqs]
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with open('senpy/VERSION') as f:
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__version__ = f.read().strip()
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setup(
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name='senpy',
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packages=['senpy'], # this must be the same as the name above
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version=__version__,
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description='''
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A sentiment analysis server implementation. Designed to be \
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extendable, so new algorithms and sources can be used.
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''',
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author='J. Fernando Sanchez',
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author_email='balkian@gmail.com',
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url='https://github.com/gsi-upm/senpy', # use the URL to the github repo
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download_url='https://github.com/gsi-upm/senpy/archive/{}.tar.gz' .format(__version__),
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keywords=['eurosentiment', 'sentiment', 'emotions', 'nif'],
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classifiers=[],
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install_requires=install_reqs,
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tests_require=test_reqs,
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setup_requires=['pytest-runner',],
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include_package_data=True,
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entry_points={
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'console_scripts': [
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'senpy = senpy.__main__:main',
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'senpy-cli = senpy.cli:main'
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]
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}
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)
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