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setup.py
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setup.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
setup.py
(c) Will Roberts 18 February, 2015
setuptools install of nltk_tgrep
'''
from setuptools import setup, find_packages # Always prefer setuptools over distutils
from codecs import open # To use a consistent encoding
from os import path
import sys
HERE = path.abspath(path.dirname(__file__))
with open(path.join(HERE, 'nltk_tgrep', 'VERSION'), encoding='utf-8') as f:
VERSION = f.read().strip()
# Get the long description from the relevant file
with open(path.join(HERE, 'README.rst'), encoding='utf-8') as f:
LONG_DESCRIPTION = f.read()
# http://stackoverflow.com/a/19719657/1062499
INSTALL_REQUIRES = ['nltk >= 3.0.0', 'pyparsing']
if sys.version_info[0] == 2:
INSTALL_REQUIRES.append('future >= 0.14')
setup(
name='nltk_tgrep',
# Versions should comply with PEP440. For a discussion on single-sourcing
# the version across setup.py and the project code, see
# https://packaging.python.org/en/latest/single_source_version.html
version=VERSION,
description='tgrep2 Searching for NLTK Trees',
long_description=LONG_DESCRIPTION,
# The project's main homepage.
url='https://github.com/wroberts/nltk_tgrep',
# Author details
author='Will Roberts',
author_email='wildwilhelm@gmail.com',
# Choose your license
license='MIT',
# See https://pypi.python.org/pypi?%3Aaction=list_classifiers
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 :: Developers',
'Intended Audience :: Science/Research',
'Topic :: Scientific/Engineering',
'Topic :: Text Processing :: Linguistic',
# Pick your license as you wish (should match "license" above)
'License :: OSI Approved :: MIT License',
# 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 :: 2',
'Programming Language :: Python :: 2.6',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.2',
'Programming Language :: Python :: 3.3',
'Programming Language :: Python :: 3.4',
],
# What does your project relate to?
keywords='nltk tgrep tgrep2 tree search',
# You can just specify the packages manually here if your project is
# simple. Or you can use find_packages().
packages=find_packages(exclude=[]),
# List run-time dependencies here. These will be installed by pip when your
# project is installed. For an analysis of "install_requires" vs pip's
# requirements files see:
# https://packaging.python.org/en/latest/requirements.html
install_requires=INSTALL_REQUIRES,
# List additional groups of dependencies here (e.g. development dependencies).
# You can install these using the following syntax, for example:
# $ pip install -e .[dev,test]
#extras_require = {
# 'dev': ['check-manifest'],
# 'test': ['coverage'],
#},
# If there are data files included in your packages that need to be
# installed, specify them here. If using Python 2.6 or less, then these
# have to be included in MANIFEST.in as well.
package_data={
'nltk_tgrep': ['VERSION'],
},
# Although 'package_data' is the preferred approach, in some case you may
# need to place data files outside of your packages.
# see http://docs.python.org/3.4/distutils/setupscript.html#installing-additional-files
# In this case, 'data_file' will be installed into '<sys.prefix>/my_data'
#data_files=[('my_data', ['data/data_file'])],
# To provide executable scripts, use entry points in preference to the
# "scripts" keyword. Entry points provide cross-platform support and allow
# pip to create the appropriate form of executable for the target platform.
#entry_points={
# 'console_scripts': [
# 'sample=sample:main',
# ],
#},
test_suite='nose.collector',
tests_require=['nose'],
)