





'''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      snake_case     (    __lowerCamelCase			,       unittest.TestCase       ):




 """simple docstring"""



 SCREAMING_SNAKE_CASE_	:					List[str]					=LayoutLMTokenizer
 SCREAMING_SNAKE_CASE_	:					Any					=LayoutLMTokenizerFast
 SCREAMING_SNAKE_CASE_	:					Union[str, Any]					=True
 SCREAMING_SNAKE_CASE_	:					Optional[int]					=True






 def        _lowerCamelCase					(       self       :							Dict	):
        super().setUp()

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






 def        _lowerCamelCase					(       self       :							Dict							,	__A       :							Optional[Any]	):
        __UpperCamelCase       =  'UNwant\u00E9d,running'
        __UpperCamelCase       =  'unwanted, running'
        return input_text, output_text






 def        _lowerCamelCase					(       self       :							Optional[Any]	):
        __UpperCamelCase       =  self.tokenizer_class(self.vocab_file	)

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






 def        _lowerCamelCase					(       self       :							List[Any]	):
        pass







'''simple docstring'''
import random
def 				lowercase__   (   __lowercase						:  list				,  __lowercase						:  Optional[Any]     ) ->      tuple:



       """simple docstring"""






       __UpperCamelCase       ,						__UpperCamelCase       ,						__UpperCamelCase       =  [], [], []
       for element in data:
              if element < pivot:
                     less.append(__lowercase     )
              elif element > pivot:
                     greater.append(__lowercase     )
              else:
                     equal.append(__lowercase     )
       return less, equal, greater


def 				lowercase__   (   __lowercase						:  list				,  __lowercase						:  int     ) ->      Dict:



       """simple docstring"""






       if index >= len(__lowercase     ) or index < 0:
              return None

       __UpperCamelCase       =  items[random.randint(0				,  len(__lowercase     ) - 1     )]
       __UpperCamelCase       =  0
       __UpperCamelCase       ,						__UpperCamelCase       ,						__UpperCamelCase       =  _partition(__lowercase				,  __lowercase     )
       __UpperCamelCase       =  len(__lowercase     )
       __UpperCamelCase       =  len(__lowercase     )

       # index is the pivot
       if m <= index < m + count:
              return pivot
       # must be in smaller
       elif m > index:
              return quick_select(__lowercase				,  __lowercase     )
       # must be in larger
       else:
              return quick_select(__lowercase				,  index - (m + count)     )
