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Senad Uka
205
venv/lib/python3.7/site-packages/nltk/__init__.py
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205
venv/lib/python3.7/site-packages/nltk/__init__.py
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# Natural Language Toolkit (NLTK)
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#
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# Copyright (C) 2001-2019 NLTK Project
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# Authors: Steven Bird <stevenbird1@gmail.com>
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# Edward Loper <edloper@gmail.com>
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# URL: <http://nltk.org/>
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# For license information, see LICENSE.TXT
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"""
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The Natural Language Toolkit (NLTK) is an open source Python library
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for Natural Language Processing. A free online book is available.
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(If you use the library for academic research, please cite the book.)
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Steven Bird, Ewan Klein, and Edward Loper (2009).
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Natural Language Processing with Python. O'Reilly Media Inc.
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http://nltk.org/book
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"""
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from __future__ import print_function, absolute_import
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import os
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# //////////////////////////////////////////////////////
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# Metadata
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# //////////////////////////////////////////////////////
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# Version. For each new release, the version number should be updated
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# in the file VERSION.
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try:
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# If a VERSION file exists, use it!
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version_file = os.path.join(os.path.dirname(__file__), 'VERSION')
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with open(version_file, 'r') as infile:
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__version__ = infile.read().strip()
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except NameError:
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__version__ = 'unknown (running code interactively?)'
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except IOError as ex:
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__version__ = "unknown (%s)" % ex
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if __doc__ is not None: # fix for the ``python -OO``
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__doc__ += '\n@version: ' + __version__
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# Copyright notice
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__copyright__ = """\
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Copyright (C) 2001-2019 NLTK Project.
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Distributed and Licensed under the Apache License, Version 2.0,
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which is included by reference.
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"""
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__license__ = "Apache License, Version 2.0"
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# Description of the toolkit, keywords, and the project's primary URL.
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__longdescr__ = """\
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The Natural Language Toolkit (NLTK) is a Python package for
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natural language processing. NLTK requires Python 2.6 or higher."""
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__keywords__ = [
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'NLP',
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'CL',
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'natural language processing',
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'computational linguistics',
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'parsing',
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'tagging',
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'tokenizing',
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'syntax',
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'linguistics',
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'language',
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'natural language',
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'text analytics',
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]
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__url__ = "http://nltk.org/"
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# Maintainer, contributors, etc.
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__maintainer__ = "Steven Bird, Edward Loper, Ewan Klein"
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__maintainer_email__ = "stevenbird1@gmail.com"
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__author__ = __maintainer__
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__author_email__ = __maintainer_email__
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# "Trove" classifiers for Python Package Index.
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__classifiers__ = [
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'Development Status :: 5 - Production/Stable',
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'Intended Audience :: Developers',
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'Intended Audience :: Education',
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'Intended Audience :: Information Technology',
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'Intended Audience :: Science/Research',
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'License :: OSI Approved :: Apache Software License',
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'Operating System :: OS Independent',
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'Programming Language :: Python :: 2.6',
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'Programming Language :: Python :: 2.7',
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'Topic :: Scientific/Engineering',
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'Topic :: Scientific/Engineering :: Artificial Intelligence',
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'Topic :: Scientific/Engineering :: Human Machine Interfaces',
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'Topic :: Scientific/Engineering :: Information Analysis',
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'Topic :: Text Processing',
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'Topic :: Text Processing :: Filters',
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'Topic :: Text Processing :: General',
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'Topic :: Text Processing :: Indexing',
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'Topic :: Text Processing :: Linguistic',
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]
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from nltk.internals import config_java
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# support numpy from pypy
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try:
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import numpypy
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except ImportError:
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pass
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# Override missing methods on environments where it cannot be used like GAE.
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import subprocess
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if not hasattr(subprocess, 'PIPE'):
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def _fake_PIPE(*args, **kwargs):
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raise NotImplementedError('subprocess.PIPE is not supported.')
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subprocess.PIPE = _fake_PIPE
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if not hasattr(subprocess, 'Popen'):
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def _fake_Popen(*args, **kwargs):
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raise NotImplementedError('subprocess.Popen is not supported.')
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subprocess.Popen = _fake_Popen
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###########################################################
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# TOP-LEVEL MODULES
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###########################################################
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# Import top-level functionality into top-level namespace
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from nltk.collocations import *
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from nltk.decorators import decorator, memoize
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from nltk.featstruct import *
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from nltk.grammar import *
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from nltk.probability import *
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from nltk.text import *
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from nltk.tree import *
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from nltk.util import *
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from nltk.jsontags import *
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###########################################################
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# PACKAGES
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###########################################################
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from nltk.chunk import *
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from nltk.classify import *
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from nltk.inference import *
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from nltk.metrics import *
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from nltk.parse import *
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from nltk.tag import *
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from nltk.tokenize import *
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from nltk.translate import *
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from nltk.sem import *
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from nltk.stem import *
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# Packages which can be lazily imported
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# (a) we don't import *
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# (b) they're slow to import or have run-time dependencies
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# that can safely fail at run time
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from nltk import lazyimport
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app = lazyimport.LazyModule('nltk.app', locals(), globals())
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chat = lazyimport.LazyModule('nltk.chat', locals(), globals())
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corpus = lazyimport.LazyModule('nltk.corpus', locals(), globals())
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draw = lazyimport.LazyModule('nltk.draw', locals(), globals())
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toolbox = lazyimport.LazyModule('nltk.toolbox', locals(), globals())
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# Optional loading
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try:
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import numpy
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except ImportError:
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pass
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else:
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from nltk import cluster
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from nltk.downloader import download, download_shell
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try:
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from six.moves import tkinter
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except ImportError:
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pass
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else:
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try:
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from nltk.downloader import download_gui
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except RuntimeError as e:
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import warnings
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warnings.warn(
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"Corpus downloader GUI not loaded "
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"(RuntimeError during import: %s)" % str(e)
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)
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# explicitly import all top-level modules (ensuring
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# they override the same names inadvertently imported
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# from a subpackage)
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from nltk import ccg, chunk, classify, collocations
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from nltk import data, featstruct, grammar, help, inference, metrics
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from nltk import misc, parse, probability, sem, stem, wsd
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from nltk import tag, tbl, text, tokenize, translate, tree, treetransforms, util
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# FIXME: override any accidentally imported demo, see https://github.com/nltk/nltk/issues/2116
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def demo():
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print("To run the demo code for a module, type nltk.module.demo()")
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