



"""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 				UpperCamelCase__       (     lowercase_, unittest.TestCase  ):




      """simple docstring"""




      _SCREAMING_SNAKE_CASE      =					LayoutLMTokenizer
      _SCREAMING_SNAKE_CASE      =					LayoutLMTokenizerFast
      _SCREAMING_SNAKE_CASE      =					True
      _SCREAMING_SNAKE_CASE      =					True



      def 					SCREAMING_SNAKE_CASE__			(				self    :				Tuple	):
        super().setUp()

        lowerCAmelCase_       :    Dict								=			[
            '[UNK]',
            '[CLS]',
            '[SEP]',
            'want',
            '##want',
            '##ed',
            'wa',
            'un',
            'runn',
            '##ing',
            ',',
            'low',
            'lowest',
        ]
        lowerCAmelCase_       :    Union[str, Any]								=			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    :				Union[str, Any]   ,      **SCREAMING_SNAKE_CASE_    :				Any	):
        return LayoutLMTokenizer.from_pretrained(self.tmpdirname   ,      **SCREAMING_SNAKE_CASE_	)



      def 					SCREAMING_SNAKE_CASE__			(				self    :				Optional[Any]   ,      SCREAMING_SNAKE_CASE_    :				Tuple	):
        lowerCAmelCase_       :    List[Any]								=			'UNwant\u00E9d,running'
        lowerCAmelCase_       :    List[str]								=			'unwanted, running'
        return input_text, output_text



      def 					SCREAMING_SNAKE_CASE__			(				self    :				Optional[Any]	):
        lowerCAmelCase_       :    Union[str, Any]								=			self.tokenizer_class(self.vocab_file	)

        lowerCAmelCase_       :    List[str]								=			tokenizer.tokenize('UNwant\u00E9d,running'	)
        self.assertListEqual(SCREAMING_SNAKE_CASE_   ,      ['un', '##want', '##ed', ',', 'runn', '##ing']	)
        self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE_	)   ,      [7, 4, 5, 1_0, 8, 9]	)





      def 					SCREAMING_SNAKE_CASE__			(				self    :				Dict	):
        pass










"""simple docstring"""







import baseaa

def     UpperCamelCase_   (   lowerCAmelCase__				:    str						)						->       bytes:

  """simple docstring"""




  return baseaa.aaaencode(string.encode('utf-8'						)						)

def     UpperCamelCase_   (   lowerCAmelCase__				:    bytes						)						->       str:

  """simple docstring"""




  return baseaa.aaadecode(lowerCAmelCase__						).decode('utf-8'						)


if __name__ == "__main__":
     import doctest

     doctest.testmod()





