




'''simple docstring'''

import os
import unittest

from transformers import LayoutLMTokenizer, LayoutLMTokenizerFast
from transformers.models.layoutlm.tokenization_layoutlm import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class 						a				(   _lowerCamelCase   ,     unittest.TestCase     ):
				snake_case_      =		LayoutLMTokenizer
				snake_case_      =		LayoutLMTokenizerFast
				snake_case_      =		True
				snake_case_      =		True


				def   A_ (		self    :					Optional[Any]					):
									super().setUp()

									snake_case_									=				[
									    '''[UNK]''',
									    '''[CLS]''',
									    '''[SEP]''',
									    '''want''',
									    '''##want''',
									    '''##ed''',
									    '''wa''',
									    '''un''',
									    '''runn''',
									    '''##ing''',
									    ''',''',
									    '''low''',
									    '''lowest''',
									]
									snake_case_									=				os.path.join(self.tmpdirname       ,				VOCAB_FILES_NAMES['''vocab_file''']					)
									with open(self.vocab_file       ,				'''w'''       ,				encoding='''utf-8'''					) as vocab_writer:
														vocab_writer.write(''''''.join([x + '''\n''' for x in vocab_tokens]					)					)


				def   A_ (		self    :					Any       ,				**lowercase_    :					Optional[Any]					):
									return LayoutLMTokenizer.from_pretrained(self.tmpdirname       ,				**lowercase_					)


				def   A_ (		self    :					Union[str, Any]       ,				lowercase_    :					Optional[int]					):
									snake_case_									=				'''UNwant\u00E9d,running'''
									snake_case_									=				'''unwanted, running'''
									return input_text, output_text


				def   A_ (		self    :					Dict					):
									snake_case_									=				self.tokenizer_class(self.vocab_file					)

									snake_case_									=				tokenizer.tokenize('''UNwant\u00E9d,running'''					)
									self.assertListEqual(lowercase_       ,				['''un''', '''##want''', '''##ed''', ''',''', '''runn''', '''##ing''']					)
									self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase_					)       ,				[7, 4, 5, 10, 8, 9]					)


				def   A_ (		self    :					Any					):
									pass







'''simple docstring'''

import re

from filelock import FileLock


try:
							import nltk

							a  :				Union[str, Any]									=  True
except (ImportError, ModuleNotFoundError):
							a  :				Any									=  False

if NLTK_AVAILABLE:
							with FileLock('.lock') as lock:
														nltk.download('punkt', quiet=True)


def 		__magic_name__    (	__UpperCAmelCase	)		->					str:

					'''simple docstring'''

					re.sub('''<n>''',      '''''',      __UpperCAmelCase	)  # remove pegasus newline char
					assert NLTK_AVAILABLE, "nltk must be installed to separate newlines between sentences. (pip install nltk)"
					return "\n".join(nltk.sent_tokenize(__UpperCAmelCase	)	)

