We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
Remove outdated names in init.py
Cf #2508 


--- END ISSUE ---

Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
--- BEGIN FILES ---
Path: `nltk/__init__.py`
Content:
```
1 # Natural Language Toolkit (NLTK)
2 #
3 # Copyright (C) 2001-2021 NLTK Project
4 # Authors: Steven Bird <stevenbird1@gmail.com>
5 #          Edward Loper <edloper@gmail.com>
6 # URL: <http://nltk.org/>
7 # For license information, see LICENSE.TXT
8 
9 """
10 The Natural Language Toolkit (NLTK) is an open source Python library
11 for Natural Language Processing.  A free online book is available.
12 (If you use the library for academic research, please cite the book.)
13 
14 Steven Bird, Ewan Klein, and Edward Loper (2009).
15 Natural Language Processing with Python.  O'Reilly Media Inc.
16 http://nltk.org/book
17 
18 isort:skip_file
19 """
20 
21 import os
22 
23 # //////////////////////////////////////////////////////
24 # Metadata
25 # //////////////////////////////////////////////////////
26 
27 # Version.  For each new release, the version number should be updated
28 # in the file VERSION.
29 try:
30     # If a VERSION file exists, use it!
31     version_file = os.path.join(os.path.dirname(__file__), "VERSION")
32     with open(version_file) as infile:
33         __version__ = infile.read().strip()
34 except NameError:
35     __version__ = "unknown (running code interactively?)"
36 except OSError as ex:
37     __version__ = "unknown (%s)" % ex
38 
39 if __doc__ is not None:  # fix for the ``python -OO``
40     __doc__ += "\n@version: " + __version__
41 
42 
43 # Copyright notice
44 __copyright__ = """\
45 Copyright (C) 2001-2021 NLTK Project.
46 
47 Distributed and Licensed under the Apache License, Version 2.0,
48 which is included by reference.
49 """
50 
51 __license__ = "Apache License, Version 2.0"
52 # Description of the toolkit, keywords, and the project's primary URL.
53 __longdescr__ = """\
54 The Natural Language Toolkit (NLTK) is a Python package for
55 natural language processing.  NLTK requires Python 2.6 or higher."""
56 __keywords__ = [
57     "NLP",
58     "CL",
59     "natural language processing",
60     "computational linguistics",
61     "parsing",
62     "tagging",
63     "tokenizing",
64     "syntax",
65     "linguistics",
66     "language",
67     "natural language",
68     "text analytics",
69 ]
70 __url__ = "http://nltk.org/"
71 
72 # Maintainer, contributors, etc.
73 __maintainer__ = "Steven Bird, Edward Loper, Ewan Klein"
74 __maintainer_email__ = "stevenbird1@gmail.com"
75 __author__ = __maintainer__
76 __author_email__ = __maintainer_email__
77 
78 # "Trove" classifiers for Python Package Index.
79 __classifiers__ = [
80     "Development Status :: 5 - Production/Stable",
81     "Intended Audience :: Developers",
82     "Intended Audience :: Education",
83     "Intended Audience :: Information Technology",
84     "Intended Audience :: Science/Research",
85     "License :: OSI Approved :: Apache Software License",
86     "Operating System :: OS Independent",
87     "Programming Language :: Python :: 2.6",
88     "Programming Language :: Python :: 2.7",
89     "Topic :: Scientific/Engineering",
90     "Topic :: Scientific/Engineering :: Artificial Intelligence",
91     "Topic :: Scientific/Engineering :: Human Machine Interfaces",
92     "Topic :: Scientific/Engineering :: Information Analysis",
93     "Topic :: Text Processing",
94     "Topic :: Text Processing :: Filters",
95     "Topic :: Text Processing :: General",
96     "Topic :: Text Processing :: Indexing",
97     "Topic :: Text Processing :: Linguistic",
98 ]
99 
100 from nltk.internals import config_java
101 
102 # support numpy from pypy
103 try:
104     import numpypy
105 except ImportError:
106     pass
107 
108 # Override missing methods on environments where it cannot be used like GAE.
109 import subprocess
110 
111 if not hasattr(subprocess, "PIPE"):
112 
113     def _fake_PIPE(*args, **kwargs):
114         raise NotImplementedError("subprocess.PIPE is not supported.")
115 
116     subprocess.PIPE = _fake_PIPE
117 if not hasattr(subprocess, "Popen"):
118 
119     def _fake_Popen(*args, **kwargs):
120         raise NotImplementedError("subprocess.Popen is not supported.")
121 
122     subprocess.Popen = _fake_Popen
123 
124 ###########################################################
125 # TOP-LEVEL MODULES
126 ###########################################################
127 
128 # Import top-level functionality into top-level namespace
129 
130 from nltk.collocations import *
131 from nltk.decorators import decorator, memoize
132 from nltk.featstruct import *
133 from nltk.grammar import *
134 from nltk.probability import *
135 from nltk.text import *
136 from nltk.tree import *
137 from nltk.util import *
138 from nltk.jsontags import *
139 
140 ###########################################################
141 # PACKAGES
142 ###########################################################
143 
144 from nltk.chunk import *
145 from nltk.classify import *
146 from nltk.inference import *
147 from nltk.metrics import *
148 from nltk.parse import *
149 from nltk.tag import *
150 from nltk.tokenize import *
151 from nltk.translate import *
152 from nltk.sem import *
153 from nltk.stem import *
154 
155 # Packages which can be lazily imported
156 # (a) we don't import *
157 # (b) they're slow to import or have run-time dependencies
158 #     that can safely fail at run time
159 
160 from nltk import lazyimport
161 
162 app = lazyimport.LazyModule("nltk.app", locals(), globals())
163 chat = lazyimport.LazyModule("nltk.chat", locals(), globals())
164 corpus = lazyimport.LazyModule("nltk.corpus", locals(), globals())
165 draw = lazyimport.LazyModule("nltk.draw", locals(), globals())
166 toolbox = lazyimport.LazyModule("nltk.toolbox", locals(), globals())
167 
168 # Optional loading
169 
170 try:
171     import numpy
172 except ImportError:
173     pass
174 else:
175     from nltk import cluster
176 
177 from nltk.downloader import download, download_shell
178 
179 try:
180     import tkinter
181 except ImportError:
182     pass
183 else:
184     try:
185         from nltk.downloader import download_gui
186     except RuntimeError as e:
187         import warnings
188 
189         warnings.warn(
190             "Corpus downloader GUI not loaded "
191             "(RuntimeError during import: %s)" % str(e)
192         )
193 
194 # explicitly import all top-level modules (ensuring
195 # they override the same names inadvertently imported
196 # from a subpackage)
197 
198 from nltk import ccg, chunk, classify, collocations
199 from nltk import data, featstruct, grammar, help, inference, metrics
200 from nltk import misc, parse, probability, sem, stem, wsd
201 from nltk import tag, tbl, text, tokenize, translate, tree, treetransforms, util
202 
203 
204 # FIXME:  override any accidentally imported demo, see https://github.com/nltk/nltk/issues/2116
205 def demo():
206     print("To run the demo code for a module, type nltk.module.demo()")
207
```
--- END FILES ---

Please first localize the bug based on the issue statement, and then generate a patch according to the `git diff` format fenced by three backticks.

Here is an example:

```diff
diff --git a/examples/server_async.py b/examples/server_async.py
--- a/examples/server_async.py
+++ b/examples/server_async.py
@@ -313,4 +313,4 @@
 
 
 if __name__ == "__main__":
-    asyncio.run(run_async_server("."), debug=True)
+    asyncio.run(run_async_server(), debug=True)
diff --git a/examples/server_sync.py b/examples/server_sync.py
--- a/examples/server_sync.py
+++ b/examples/server_sync.py
@@ -313,5 +313,5 @@
 
 
 if __name__ == "__main__":
-    server = run_sync_server(".")
+    server = run_sync_server()
     server.shutdown()

```

diff --git a/nltk/__init__.py b/nltk/__init__.py
--- a/nltk/__init__.py
+++ b/nltk/__init__.py
@@ -52,7 +52,7 @@
 # Description of the toolkit, keywords, and the project's primary URL.
 __longdescr__ = """\
 The Natural Language Toolkit (NLTK) is a Python package for
-natural language processing.  NLTK requires Python 2.6 or higher."""
+natural language processing.  NLTK requires Python 3.6, 3.7, 3.8, or 3.9."""
 __keywords__ = [
     "NLP",
     "CL",
@@ -70,7 +70,7 @@
 __url__ = "http://nltk.org/"
 
 # Maintainer, contributors, etc.
-__maintainer__ = "Steven Bird, Edward Loper, Ewan Klein"
+__maintainer__ = "Steven Bird"
 __maintainer_email__ = "stevenbird1@gmail.com"
 __author__ = __maintainer__
 __author_email__ = __maintainer_email__
@@ -84,8 +84,10 @@
     "Intended Audience :: Science/Research",
     "License :: OSI Approved :: Apache Software License",
     "Operating System :: OS Independent",
-    "Programming Language :: Python :: 2.6",
-    "Programming Language :: Python :: 2.7",
+    "Programming Language :: Python :: 3.6",
+    "Programming Language :: Python :: 3.7",
+    "Programming Language :: Python :: 3.8",
+    "Programming Language :: Python :: 3.9",
     "Topic :: Scientific/Engineering",
     "Topic :: Scientific/Engineering :: Artificial Intelligence",
     "Topic :: Scientific/Engineering :: Human Machine Interfaces",

{"golden_diff": "diff --git a/nltk/__init__.py b/nltk/__init__.py\n--- a/nltk/__init__.py\n+++ b/nltk/__init__.py\n@@ -52,7 +52,7 @@\n # Description of the toolkit, keywords, and the project's primary URL.\n __longdescr__ = \"\"\"\\\n The Natural Language Toolkit (NLTK) is a Python package for\n-natural language processing.  NLTK requires Python 2.6 or higher.\"\"\"\n+natural language processing.  NLTK requires Python 3.6, 3.7, 3.8, or 3.9.\"\"\"\n __keywords__ = [\n     \"NLP\",\n     \"CL\",\n@@ -70,7 +70,7 @@\n __url__ = \"http://nltk.org/\"\n \n # Maintainer, contributors, etc.\n-__maintainer__ = \"Steven Bird, Edward Loper, Ewan Klein\"\n+__maintainer__ = \"Steven Bird\"\n __maintainer_email__ = \"stevenbird1@gmail.com\"\n __author__ = __maintainer__\n __author_email__ = __maintainer_email__\n@@ -84,8 +84,10 @@\n     \"Intended Audience :: Science/Research\",\n     \"License :: OSI Approved :: Apache Software License\",\n     \"Operating System :: OS Independent\",\n-    \"Programming Language :: Python :: 2.6\",\n-    \"Programming Language :: Python :: 2.7\",\n+    \"Programming Language :: Python :: 3.6\",\n+    \"Programming Language :: Python :: 3.7\",\n+    \"Programming Language :: Python :: 3.8\",\n+    \"Programming Language :: Python :: 3.9\",\n     \"Topic :: Scientific/Engineering\",\n     \"Topic :: Scientific/Engineering :: Artificial Intelligence\",\n     \"Topic :: Scientific/Engineering :: Human Machine Interfaces\",\n", "issue": "Remove outdated names in init.py\nCf #2508 \r\n\n", "before_files": [{"content": "# Natural Language Toolkit (NLTK)\n#\n# Copyright (C) 2001-2021 NLTK Project\n# Authors: Steven Bird <stevenbird1@gmail.com>\n#          Edward Loper <edloper@gmail.com>\n# URL: <http://nltk.org/>\n# For license information, see LICENSE.TXT\n\n\"\"\"\nThe Natural Language Toolkit (NLTK) is an open source Python library\nfor Natural Language Processing.  A free online book is available.\n(If you use the library for academic research, please cite the book.)\n\nSteven Bird, Ewan Klein, and Edward Loper (2009).\nNatural Language Processing with Python.  O'Reilly Media Inc.\nhttp://nltk.org/book\n\nisort:skip_file\n\"\"\"\n\nimport os\n\n# //////////////////////////////////////////////////////\n# Metadata\n# //////////////////////////////////////////////////////\n\n# Version.  For each new release, the version number should be updated\n# in the file VERSION.\ntry:\n    # If a VERSION file exists, use it!\n    version_file = os.path.join(os.path.dirname(__file__), \"VERSION\")\n    with open(version_file) as infile:\n        __version__ = infile.read().strip()\nexcept NameError:\n    __version__ = \"unknown (running code interactively?)\"\nexcept OSError as ex:\n    __version__ = \"unknown (%s)\" % ex\n\nif __doc__ is not None:  # fix for the ``python -OO``\n    __doc__ += \"\\n@version: \" + __version__\n\n\n# Copyright notice\n__copyright__ = \"\"\"\\\nCopyright (C) 2001-2021 NLTK Project.\n\nDistributed and Licensed under the Apache License, Version 2.0,\nwhich is included by reference.\n\"\"\"\n\n__license__ = \"Apache License, Version 2.0\"\n# Description of the toolkit, keywords, and the project's primary URL.\n__longdescr__ = \"\"\"\\\nThe Natural Language Toolkit (NLTK) is a Python package for\nnatural language processing.  NLTK requires Python 2.6 or higher.\"\"\"\n__keywords__ = [\n    \"NLP\",\n    \"CL\",\n    \"natural language processing\",\n    \"computational linguistics\",\n    \"parsing\",\n    \"tagging\",\n    \"tokenizing\",\n    \"syntax\",\n    \"linguistics\",\n    \"language\",\n    \"natural language\",\n    \"text analytics\",\n]\n__url__ = \"http://nltk.org/\"\n\n# Maintainer, contributors, etc.\n__maintainer__ = \"Steven Bird, Edward Loper, Ewan Klein\"\n__maintainer_email__ = \"stevenbird1@gmail.com\"\n__author__ = __maintainer__\n__author_email__ = __maintainer_email__\n\n# \"Trove\" classifiers for Python Package Index.\n__classifiers__ = [\n    \"Development Status :: 5 - Production/Stable\",\n    \"Intended Audience :: Developers\",\n    \"Intended Audience :: Education\",\n    \"Intended Audience :: Information Technology\",\n    \"Intended Audience :: Science/Research\",\n    \"License :: OSI Approved :: Apache Software License\",\n    \"Operating System :: OS Independent\",\n    \"Programming Language :: Python :: 2.6\",\n    \"Programming Language :: Python :: 2.7\",\n    \"Topic :: Scientific/Engineering\",\n    \"Topic :: Scientific/Engineering :: Artificial Intelligence\",\n    \"Topic :: Scientific/Engineering :: Human Machine Interfaces\",\n    \"Topic :: Scientific/Engineering :: Information Analysis\",\n    \"Topic :: Text Processing\",\n    \"Topic :: Text Processing :: Filters\",\n    \"Topic :: Text Processing :: General\",\n    \"Topic :: Text Processing :: Indexing\",\n    \"Topic :: Text Processing :: Linguistic\",\n]\n\nfrom nltk.internals import config_java\n\n# support numpy from pypy\ntry:\n    import numpypy\nexcept ImportError:\n    pass\n\n# Override missing methods on environments where it cannot be used like GAE.\nimport subprocess\n\nif not hasattr(subprocess, \"PIPE\"):\n\n    def _fake_PIPE(*args, **kwargs):\n        raise NotImplementedError(\"subprocess.PIPE is not supported.\")\n\n    subprocess.PIPE = _fake_PIPE\nif not hasattr(subprocess, \"Popen\"):\n\n    def _fake_Popen(*args, **kwargs):\n        raise NotImplementedError(\"subprocess.Popen is not supported.\")\n\n    subprocess.Popen = _fake_Popen\n\n###########################################################\n# TOP-LEVEL MODULES\n###########################################################\n\n# Import top-level functionality into top-level namespace\n\nfrom nltk.collocations import *\nfrom nltk.decorators import decorator, memoize\nfrom nltk.featstruct import *\nfrom nltk.grammar import *\nfrom nltk.probability import *\nfrom nltk.text import *\nfrom nltk.tree import *\nfrom nltk.util import *\nfrom nltk.jsontags import *\n\n###########################################################\n# PACKAGES\n###########################################################\n\nfrom nltk.chunk import *\nfrom nltk.classify import *\nfrom nltk.inference import *\nfrom nltk.metrics import *\nfrom nltk.parse import *\nfrom nltk.tag import *\nfrom nltk.tokenize import *\nfrom nltk.translate import *\nfrom nltk.sem import *\nfrom nltk.stem import *\n\n# Packages which can be lazily imported\n# (a) we don't import *\n# (b) they're slow to import or have run-time dependencies\n#     that can safely fail at run time\n\nfrom nltk import lazyimport\n\napp = lazyimport.LazyModule(\"nltk.app\", locals(), globals())\nchat = lazyimport.LazyModule(\"nltk.chat\", locals(), globals())\ncorpus = lazyimport.LazyModule(\"nltk.corpus\", locals(), globals())\ndraw = lazyimport.LazyModule(\"nltk.draw\", locals(), globals())\ntoolbox = lazyimport.LazyModule(\"nltk.toolbox\", locals(), globals())\n\n# Optional loading\n\ntry:\n    import numpy\nexcept ImportError:\n    pass\nelse:\n    from nltk import cluster\n\nfrom nltk.downloader import download, download_shell\n\ntry:\n    import tkinter\nexcept ImportError:\n    pass\nelse:\n    try:\n        from nltk.downloader import download_gui\n    except RuntimeError as e:\n        import warnings\n\n        warnings.warn(\n            \"Corpus downloader GUI not loaded \"\n            \"(RuntimeError during import: %s)\" % str(e)\n        )\n\n# explicitly import all top-level modules (ensuring\n# they override the same names inadvertently imported\n# from a subpackage)\n\nfrom nltk import ccg, chunk, classify, collocations\nfrom nltk import data, featstruct, grammar, help, inference, metrics\nfrom nltk import misc, parse, probability, sem, stem, wsd\nfrom nltk import tag, tbl, text, tokenize, translate, tree, treetransforms, util\n\n\n# FIXME:  override any accidentally imported demo, see https://github.com/nltk/nltk/issues/2116\ndef demo():\n    print(\"To run the demo code for a module, type nltk.module.demo()\")\n", "path": "nltk/__init__.py"}], "after_files": [{"content": "# Natural Language Toolkit (NLTK)\n#\n# Copyright (C) 2001-2021 NLTK Project\n# Authors: Steven Bird <stevenbird1@gmail.com>\n#          Edward Loper <edloper@gmail.com>\n# URL: <http://nltk.org/>\n# For license information, see LICENSE.TXT\n\n\"\"\"\nThe Natural Language Toolkit (NLTK) is an open source Python library\nfor Natural Language Processing.  A free online book is available.\n(If you use the library for academic research, please cite the book.)\n\nSteven Bird, Ewan Klein, and Edward Loper (2009).\nNatural Language Processing with Python.  O'Reilly Media Inc.\nhttp://nltk.org/book\n\nisort:skip_file\n\"\"\"\n\nimport os\n\n# //////////////////////////////////////////////////////\n# Metadata\n# //////////////////////////////////////////////////////\n\n# Version.  For each new release, the version number should be updated\n# in the file VERSION.\ntry:\n    # If a VERSION file exists, use it!\n    version_file = os.path.join(os.path.dirname(__file__), \"VERSION\")\n    with open(version_file) as infile:\n        __version__ = infile.read().strip()\nexcept NameError:\n    __version__ = \"unknown (running code interactively?)\"\nexcept OSError as ex:\n    __version__ = \"unknown (%s)\" % ex\n\nif __doc__ is not None:  # fix for the ``python -OO``\n    __doc__ += \"\\n@version: \" + __version__\n\n\n# Copyright notice\n__copyright__ = \"\"\"\\\nCopyright (C) 2001-2021 NLTK Project.\n\nDistributed and Licensed under the Apache License, Version 2.0,\nwhich is included by reference.\n\"\"\"\n\n__license__ = \"Apache License, Version 2.0\"\n# Description of the toolkit, keywords, and the project's primary URL.\n__longdescr__ = \"\"\"\\\nThe Natural Language Toolkit (NLTK) is a Python package for\nnatural language processing.  NLTK requires Python 3.6, 3.7, 3.8, or 3.9.\"\"\"\n__keywords__ = [\n    \"NLP\",\n    \"CL\",\n    \"natural language processing\",\n    \"computational linguistics\",\n    \"parsing\",\n    \"tagging\",\n    \"tokenizing\",\n    \"syntax\",\n    \"linguistics\",\n    \"language\",\n    \"natural language\",\n    \"text analytics\",\n]\n__url__ = \"http://nltk.org/\"\n\n# Maintainer, contributors, etc.\n__maintainer__ = \"Steven Bird\"\n__maintainer_email__ = \"stevenbird1@gmail.com\"\n__author__ = __maintainer__\n__author_email__ = __maintainer_email__\n\n# \"Trove\" classifiers for Python Package Index.\n__classifiers__ = [\n    \"Development Status :: 5 - Production/Stable\",\n    \"Intended Audience :: Developers\",\n    \"Intended Audience :: Education\",\n    \"Intended Audience :: Information Technology\",\n    \"Intended Audience :: Science/Research\",\n    \"License :: OSI Approved :: Apache Software License\",\n    \"Operating System :: OS Independent\",\n    \"Programming Language :: Python :: 3.6\",\n    \"Programming Language :: Python :: 3.7\",\n    \"Programming Language :: Python :: 3.8\",\n    \"Programming Language :: Python :: 3.9\",\n    \"Topic :: Scientific/Engineering\",\n    \"Topic :: Scientific/Engineering :: Artificial Intelligence\",\n    \"Topic :: Scientific/Engineering :: Human Machine Interfaces\",\n    \"Topic :: Scientific/Engineering :: Information Analysis\",\n    \"Topic :: Text Processing\",\n    \"Topic :: Text Processing :: Filters\",\n    \"Topic :: Text Processing :: General\",\n    \"Topic :: Text Processing :: Indexing\",\n    \"Topic :: Text Processing :: Linguistic\",\n]\n\nfrom nltk.internals import config_java\n\n# support numpy from pypy\ntry:\n    import numpypy\nexcept ImportError:\n    pass\n\n# Override missing methods on environments where it cannot be used like GAE.\nimport subprocess\n\nif not hasattr(subprocess, \"PIPE\"):\n\n    def _fake_PIPE(*args, **kwargs):\n        raise NotImplementedError(\"subprocess.PIPE is not supported.\")\n\n    subprocess.PIPE = _fake_PIPE\nif not hasattr(subprocess, \"Popen\"):\n\n    def _fake_Popen(*args, **kwargs):\n        raise NotImplementedError(\"subprocess.Popen is not supported.\")\n\n    subprocess.Popen = _fake_Popen\n\n###########################################################\n# TOP-LEVEL MODULES\n###########################################################\n\n# Import top-level functionality into top-level namespace\n\nfrom nltk.collocations import *\nfrom nltk.decorators import decorator, memoize\nfrom nltk.featstruct import *\nfrom nltk.grammar import *\nfrom nltk.probability import *\nfrom nltk.text import *\nfrom nltk.tree import *\nfrom nltk.util import *\nfrom nltk.jsontags import *\n\n###########################################################\n# PACKAGES\n###########################################################\n\nfrom nltk.chunk import *\nfrom nltk.classify import *\nfrom nltk.inference import *\nfrom nltk.metrics import *\nfrom nltk.parse import *\nfrom nltk.tag import *\nfrom nltk.tokenize import *\nfrom nltk.translate import *\nfrom nltk.sem import *\nfrom nltk.stem import *\n\n# Packages which can be lazily imported\n# (a) we don't import *\n# (b) they're slow to import or have run-time dependencies\n#     that can safely fail at run time\n\nfrom nltk import lazyimport\n\napp = lazyimport.LazyModule(\"nltk.app\", locals(), globals())\nchat = lazyimport.LazyModule(\"nltk.chat\", locals(), globals())\ncorpus = lazyimport.LazyModule(\"nltk.corpus\", locals(), globals())\ndraw = lazyimport.LazyModule(\"nltk.draw\", locals(), globals())\ntoolbox = lazyimport.LazyModule(\"nltk.toolbox\", locals(), globals())\n\n# Optional loading\n\ntry:\n    import numpy\nexcept ImportError:\n    pass\nelse:\n    from nltk import cluster\n\nfrom nltk.downloader import download, download_shell\n\ntry:\n    import tkinter\nexcept ImportError:\n    pass\nelse:\n    try:\n        from nltk.downloader import download_gui\n    except RuntimeError as e:\n        import warnings\n\n        warnings.warn(\n            \"Corpus downloader GUI not loaded \"\n            \"(RuntimeError during import: %s)\" % str(e)\n        )\n\n# explicitly import all top-level modules (ensuring\n# they override the same names inadvertently imported\n# from a subpackage)\n\nfrom nltk import ccg, chunk, classify, collocations\nfrom nltk import data, featstruct, grammar, help, inference, metrics\nfrom nltk import misc, parse, probability, sem, stem, wsd\nfrom nltk import tag, tbl, text, tokenize, translate, tree, treetransforms, util\n\n\n# FIXME:  override any accidentally imported demo, see https://github.com/nltk/nltk/issues/2116\ndef demo():\n    print(\"To run the demo code for a module, type nltk.module.demo()\")\n", "path": "nltk/__init__.py"}]}