updates
This commit is contained in:
Iliyan Angelov
208
Backend/venv/lib/python3.12/site-packages/nltk/__init__.py
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208
Backend/venv/lib/python3.12/site-packages/nltk/__init__.py
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# Natural Language Toolkit (NLTK)
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#
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# Copyright (C) 2001-2025 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: <https://www.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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https://www.nltk.org/book/
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isort:skip_file
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"""
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import os
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import importlib
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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) 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 OSError 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) 2001-2025 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 3.9, 3.10, 3.11, 3.12 or 3.13."""
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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__ = "https://www.nltk.org/"
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# Maintainer, contributors, etc.
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__maintainer__ = "NLTK Team"
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__maintainer_email__ = "nltk.team@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 :: 3.9",
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"Programming Language :: Python :: 3.10",
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"Programming Language :: Python :: 3.11",
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"Programming Language :: Python :: 3.12",
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"Programming Language :: Python :: 3.13",
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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.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.tree 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("app", locals(), globals())
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chat = lazyimport.LazyModule("chat", locals(), globals())
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corpus = lazyimport.LazyModule("corpus", locals(), globals())
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draw = lazyimport.LazyModule("draw", locals(), globals())
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toolbox = lazyimport.LazyModule("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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# Check if tkinter exists without importing it to avoid crashes after
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# forks on macOS. Only nltk.app, nltk.draw, and demo modules should
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# have top-level tkinter imports. See #2949 for more details.
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if importlib.util.find_spec("tkinter"):
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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, 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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