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https://github.com/gsi-upm/senpy
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Fixed setup.py and pip
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3
MANIFEST.in
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3
MANIFEST.in
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@ -0,0 +1,3 @@
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include requirements.txt
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include README.md
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include senpy/context.jsonld
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@ -18,8 +18,8 @@
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Sentiment analysis server in Python
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Sentiment analysis server in Python
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"""
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"""
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VERSION = "0.2.7"
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import extensions
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import extensions
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import blueprints
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import blueprints
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import plugins
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import plugins
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__version__ = "0.2.8"
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19
setup.py
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setup.py
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from setuptools import setup
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from setuptools import setup
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import senpy
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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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install_reqs = parse_requirements("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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reqs = [str(ir.req) for ir in install_reqs]
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VERSION = "0.2.8"
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print(reqs)
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setup(
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setup(
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name='senpy',
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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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packages=['senpy'], # this must be the same as the name above
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version=senpy.VERSION,
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version=VERSION,
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description='''
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description='''
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A sentiment analysis server implementation. Designed to be \
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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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extendable, so new algorithms and sources can be used.
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@ -12,7 +23,9 @@ extendable, so new algorithms and sources can be used.
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author='J. Fernando Sanchez',
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author='J. Fernando Sanchez',
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author_email='balkian@gmail.com',
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author_email='balkian@gmail.com',
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url='https://github.com/balkian/senpy', # use the URL to the github repo
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url='https://github.com/balkian/senpy', # use the URL to the github repo
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download_url='https://github.com/balkian/senpy/archive/{}.tar.gz'.format(senpy.VERSION),
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download_url='https://github.com/balkian/senpy/archive/{}.tar.gz'.format(VERSION),
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keywords=['eurosentiment', 'sentiment', 'emotions', 'nif'], # arbitrary keywords
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keywords=['eurosentiment', 'sentiment', 'emotions', 'nif'], # arbitrary keywords
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classifiers=[],
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classifiers=[],
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install_requires=reqs,
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include_package_data = True,
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)
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)
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