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venv/lib/python3.10/site-packages/nltk/corpus/reader/__init__.py

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+# Natural Language Toolkit: Corpus Readers
+#
+# Copyright (C) 2001-2023 NLTK Project
+# Author: Steven Bird <[email protected]>
+#         Edward Loper <[email protected]>
+# URL: <https://www.nltk.org/>
+# For license information, see LICENSE.TXT
+
+"""
+NLTK corpus readers.  The modules in this package provide functions
+that can be used to read corpus fileids in a variety of formats.  These
+functions can be used to read both the corpus fileids that are
+distributed in the NLTK corpus package, and corpus fileids that are part
+of external corpora.
+
+Corpus Reader Functions
+=======================
+Each corpus module defines one or more "corpus reader functions",
+which can be used to read documents from that corpus.  These functions
+take an argument, ``item``, which is used to indicate which document
+should be read from the corpus:
+
+- If ``item`` is one of the unique identifiers listed in the corpus
+  module's ``items`` variable, then the corresponding document will
+  be loaded from the NLTK corpus package.
+- If ``item`` is a fileid, then that file will be read.
+
+Additionally, corpus reader functions can be given lists of item
+names; in which case, they will return a concatenation of the
+corresponding documents.
+
+Corpus reader functions are named based on the type of information
+they return.  Some common examples, and their return types, are:
+
+- words(): list of str
+- sents(): list of (list of str)
+- paras(): list of (list of (list of str))
+- tagged_words(): list of (str,str) tuple
+- tagged_sents(): list of (list of (str,str))
+- tagged_paras(): list of (list of (list of (str,str)))
+- chunked_sents(): list of (Tree w/ (str,str) leaves)
+- parsed_sents(): list of (Tree with str leaves)
+- parsed_paras(): list of (list of (Tree with str leaves))
+- xml(): A single xml ElementTree
+- raw(): unprocessed corpus contents
+
+For example, to read a list of the words in the Brown Corpus, use
+``nltk.corpus.brown.words()``:
+
+    >>> from nltk.corpus import brown
+    >>> print(", ".join(brown.words()[:6])) # only first 6 words
+    The, Fulton, County, Grand, Jury, said
+
+isort:skip_file
+"""
+
+from nltk.corpus.reader.plaintext import *
+from nltk.corpus.reader.util import *
+from nltk.corpus.reader.api import *
+from nltk.corpus.reader.tagged import *
+from nltk.corpus.reader.cmudict import *
+from nltk.corpus.reader.conll import *
+from nltk.corpus.reader.chunked import *
+from nltk.corpus.reader.wordlist import *
+from nltk.corpus.reader.xmldocs import *
+from nltk.corpus.reader.ppattach import *
+from nltk.corpus.reader.senseval import *
+from nltk.corpus.reader.ieer import *
+from nltk.corpus.reader.sinica_treebank import *
+from nltk.corpus.reader.bracket_parse import *
+from nltk.corpus.reader.indian import *
+from nltk.corpus.reader.toolbox import *
+from nltk.corpus.reader.timit import *
+from nltk.corpus.reader.ycoe import *
+from nltk.corpus.reader.rte import *
+from nltk.corpus.reader.string_category import *
+from nltk.corpus.reader.propbank import *
+from nltk.corpus.reader.verbnet import *
+from nltk.corpus.reader.bnc import *
+from nltk.corpus.reader.nps_chat import *
+from nltk.corpus.reader.wordnet import *
+from nltk.corpus.reader.switchboard import *
+from nltk.corpus.reader.dependency import *
+from nltk.corpus.reader.nombank import *
+from nltk.corpus.reader.ipipan import *
+from nltk.corpus.reader.pl196x import *
+from nltk.corpus.reader.knbc import *
+from nltk.corpus.reader.chasen import *
+from nltk.corpus.reader.childes import *
+from nltk.corpus.reader.aligned import *
+from nltk.corpus.reader.lin import *
+from nltk.corpus.reader.semcor import *
+from nltk.corpus.reader.framenet import *
+from nltk.corpus.reader.udhr import *
+from nltk.corpus.reader.bnc import *
+from nltk.corpus.reader.sentiwordnet import *
+from nltk.corpus.reader.twitter import *
+from nltk.corpus.reader.nkjp import *
+from nltk.corpus.reader.crubadan import *
+from nltk.corpus.reader.mte import *
+from nltk.corpus.reader.reviews import *
+from nltk.corpus.reader.opinion_lexicon import *
+from nltk.corpus.reader.pros_cons import *
+from nltk.corpus.reader.categorized_sents import *
+from nltk.corpus.reader.comparative_sents import *
+from nltk.corpus.reader.panlex_lite import *
+from nltk.corpus.reader.panlex_swadesh import *
+from nltk.corpus.reader.bcp47 import *
+
+# Make sure that nltk.corpus.reader.bracket_parse gives the module, not
+# the function bracket_parse() defined in nltk.tree:
+from nltk.corpus.reader import bracket_parse
+
+__all__ = [
+    "CorpusReader",
+    "CategorizedCorpusReader",
+    "PlaintextCorpusReader",
+    "find_corpus_fileids",
+    "TaggedCorpusReader",
+    "CMUDictCorpusReader",
+    "ConllChunkCorpusReader",
+    "WordListCorpusReader",
+    "PPAttachmentCorpusReader",
+    "SensevalCorpusReader",
+    "IEERCorpusReader",
+    "ChunkedCorpusReader",
+    "SinicaTreebankCorpusReader",
+    "BracketParseCorpusReader",
+    "IndianCorpusReader",
+    "ToolboxCorpusReader",
+    "TimitCorpusReader",
+    "YCOECorpusReader",
+    "MacMorphoCorpusReader",
+    "SyntaxCorpusReader",
+    "AlpinoCorpusReader",
+    "RTECorpusReader",
+    "StringCategoryCorpusReader",
+    "EuroparlCorpusReader",
+    "CategorizedBracketParseCorpusReader",
+    "CategorizedTaggedCorpusReader",
+    "CategorizedPlaintextCorpusReader",
+    "PortugueseCategorizedPlaintextCorpusReader",
+    "tagged_treebank_para_block_reader",
+    "PropbankCorpusReader",
+    "VerbnetCorpusReader",
+    "BNCCorpusReader",
+    "ConllCorpusReader",
+    "XMLCorpusReader",
+    "NPSChatCorpusReader",
+    "SwadeshCorpusReader",
+    "WordNetCorpusReader",
+    "WordNetICCorpusReader",
+    "SwitchboardCorpusReader",
+    "DependencyCorpusReader",
+    "NombankCorpusReader",
+    "IPIPANCorpusReader",
+    "Pl196xCorpusReader",
+    "TEICorpusView",
+    "KNBCorpusReader",
+    "ChasenCorpusReader",
+    "CHILDESCorpusReader",
+    "AlignedCorpusReader",
+    "TimitTaggedCorpusReader",
+    "LinThesaurusCorpusReader",
+    "SemcorCorpusReader",
+    "FramenetCorpusReader",
+    "UdhrCorpusReader",
+    "BNCCorpusReader",
+    "SentiWordNetCorpusReader",
+    "SentiSynset",
+    "TwitterCorpusReader",
+    "NKJPCorpusReader",
+    "CrubadanCorpusReader",
+    "MTECorpusReader",
+    "ReviewsCorpusReader",
+    "OpinionLexiconCorpusReader",
+    "ProsConsCorpusReader",
+    "CategorizedSentencesCorpusReader",
+    "ComparativeSentencesCorpusReader",
+    "PanLexLiteCorpusReader",
+    "NonbreakingPrefixesCorpusReader",
+    "UnicharsCorpusReader",
+    "MWAPPDBCorpusReader",
+    "PanlexSwadeshCorpusReader",
+    "BCP47CorpusReader",
+]