



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        snake_case__    (A__ ,     unittest.TestCase		):







						"""simple docstring"""




						__lowerCAmelCase					:Any      =					LayoutLMTokenizer
						__lowerCAmelCase					:str      =					LayoutLMTokenizerFast
						__lowerCAmelCase					:Optional[int]      =					True
						__lowerCAmelCase					:str      =					True

						def 							SCREAMING_SNAKE_CASE__(       self  ) ->				Dict:
									"""simple docstring"""




									super().setUp()

									a__       :						Any							=  [
									    """[UNK]""",
									    """[CLS]""",
									    """[SEP]""",
									    """want""",
									    """##want""",
									    """##ed""",
									    """wa""",
									    """un""",
									    """runn""",
									    """##ing""",
									    """,""",
									    """low""",
									    """lowest""",
									]
									a__       :						Dict							=  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 							SCREAMING_SNAKE_CASE__(       self ,       **__lowercase  ) ->				Optional[int]:
									"""simple docstring"""




									return LayoutLMTokenizer.from_pretrained(self.tmpdirname ,       **__lowercase  )

						def 							SCREAMING_SNAKE_CASE__(       self ,       __lowercase  ) ->				Union[str, Any]:
									"""simple docstring"""




									a__       :						List[Any]							=  """UNwant\u00E9d,running"""
									a__       :						str							=  """unwanted, running"""
									return input_text, output_text

						def 							SCREAMING_SNAKE_CASE__(       self  ) ->				Optional[int]:
									"""simple docstring"""




									a__       :						int							=  self.tokenizer_class(self.vocab_file  )

									a__       :						Optional[Any]							=  tokenizer.tokenize("""UNwant\u00E9d,running"""  )
									self.assertListEqual(__lowercase ,       ["""un""", """##want""", """##ed""", """,""", """runn""", """##ing"""]  )
									self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowercase  ) ,       [7, 4, 5, 1_0, 8, 9]  )

						def 							SCREAMING_SNAKE_CASE__(       self  ) ->				Optional[Any]:
									"""simple docstring"""




									pass









def      lowerCAmelCase_					(  _lowercase    :       int)							->	int:







			"""simple docstring"""

			if not isinstance(_lowercase						,       _lowercase):
						raise TypeError("""only integers accepted as input""")
			else:
						a__       :						Any							=  str(abs(_lowercase))
						a__       :						str							=  [list(_lowercase) for char in range(len(_lowercase))]
						for index in range(len(_lowercase)):
									num_transpositions[index].pop(_lowercase)
						return max(
						    int("""""".join(list(_lowercase))) for transposition in num_transpositions)


if __name__ == "__main__":
		__import__("doctest").testmod()




