code: 
  
  import json
  from typing import List, Optional, Tuple
  
  from tokenizers import normalizers
  
  from ...tokenization_utils_fast import PreTrainedTokenizerFast
  from ...utils import logging
  from .tokenization_layoutlm import LayoutLMTokenizer
  
  
  lowerCamelCase     =      logging.get_logger(__name__)
  
  lowerCamelCase     =      {'''vocab_file''': '''vocab.txt''', '''tokenizer_file''': '''tokenizer.json'''}
  
  lowerCamelCase     =      {
      '''vocab_file''': {
          '''microsoft/layoutlm-base-uncased''': (
              '''https://huggingface.co/microsoft/layoutlm-base-uncased/resolve/main/vocab.txt'''
          ),
          '''microsoft/layoutlm-large-uncased''': (
              '''https://huggingface.co/microsoft/layoutlm-large-uncased/resolve/main/vocab.txt'''
          ),
      },
      '''tokenizer_file''': {
          '''microsoft/layoutlm-base-uncased''': (
              '''https://huggingface.co/microsoft/layoutlm-base-uncased/resolve/main/tokenizer.json'''
          ),
          '''microsoft/layoutlm-large-uncased''': (
              '''https://huggingface.co/microsoft/layoutlm-large-uncased/resolve/main/tokenizer.json'''
          ),
      },
  }
  
  lowerCamelCase     =      {
      '''microsoft/layoutlm-base-uncased''': 512,
      '''microsoft/layoutlm-large-uncased''': 512,
  }
  
  lowerCamelCase     =      {
      '''microsoft/layoutlm-base-uncased''': {'''do_lower_case''': True},
      '''microsoft/layoutlm-large-uncased''': {'''do_lower_case''': True},
  }
  
  
  
  
  
  
  
  class 		__magic_name__    (							lowerCamelCase__							):
  
     '''simple docstring'''
  
  
  
  
     lowerCamelCase__				:			List[str]												=     VOCAB_FILES_NAMES
     lowerCamelCase__				:			Dict												=     PRETRAINED_VOCAB_FILES_MAP
     lowerCamelCase__				:			List[Any]												=     PRETRAINED_INIT_CONFIGURATION
     lowerCamelCase__				:			Tuple												=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     lowerCamelCase__				:			Optional[Any]												=     LayoutLMTokenizer
  
  
  
     def __init__(       self,					lowercase_=None,					lowercase_=None,					lowercase_=True,					lowercase_="[UNK]",					lowercase_="[SEP]",					lowercase_="[PAD]",					lowercase_="[CLS]",					lowercase_="[MASK]",					lowercase_=True,					lowercase_=None,					**lowercase_,					)							->					Tuple:
  
  
  
  
  
  
       """simple docstring"""
  
  
  
  
  
  
       super().__init__(
           lowercase_,					tokenizer_file=lowercase_,					do_lower_case=lowercase_,					unk_token=lowercase_,					sep_token=lowercase_,					pad_token=lowercase_,					cls_token=lowercase_,					mask_token=lowercase_,					tokenize_chinese_chars=lowercase_,					strip_accents=lowercase_,					**lowercase_,					)
  
       a__						=json.loads(self.backend_tokenizer.normalizer.__getstate__() )
       if (
           normalizer_state.get('''lowercase''',					lowercase_ ) != do_lower_case
           or normalizer_state.get('''strip_accents''',					lowercase_ ) != strip_accents
           or normalizer_state.get('''handle_chinese_chars''',					lowercase_ ) != tokenize_chinese_chars
       ):
         a__						=getattr(lowercase_,					normalizer_state.pop('''type''' ) )
         a__						=do_lower_case
         a__						=strip_accents
         a__						=tokenize_chinese_chars
         a__						=normalizer_class(**lowercase_ )
  
       a__						=do_lower_case
  
  
  
     def 				_UpperCAmelCase				(       self,					lowercase_,					lowercase_=None )							->					int:
  
  
  
  
  
  
       """simple docstring"""
  
  
  
  
  
  
       a__						=[self.cls_token_id] + token_ids_a + [self.sep_token_id]
  
       if token_ids_a:
         output += token_ids_a + [self.sep_token_id]
  
       return output
  
  
  
     def 				_UpperCAmelCase				(       self,					lowercase_,					lowercase_ = None )							->					List[int]:
  
  
  
  
  
  
       """simple docstring"""
  
  
  
  
  
  
       a__						=[self.sep_token_id]
       a__						=[self.cls_token_id]
       if token_ids_a is None:
         return len(cls + token_ids_a + sep ) * [0]
       return len(cls + token_ids_a + sep ) * [0] + len(token_ids_a + sep ) * [1]
  
  
  
     def 				_UpperCAmelCase				(       self,					lowercase_,					lowercase_ = None )							->					Tuple[str]:
  
  
  
  
  
  
       """simple docstring"""
  
  
  
  
  
  
       a__						=self._tokenizer.model.save(lowercase_,					name=lowercase_ )
       return tuple(lowercase_ )
  
style_context: 
  
  import heapq
  
  
  
  
  def     UpperCAmelCase__       (    _A   :				Optional[Any]			,   _A   :				str			,   _A   :				Optional[Any]							):
  
  
  
  
  
    '''simple docstring'''
  
  
  
  
  
  
  
    a__						=[(0, start)]  # cost from start node,end node
    a__						=set()
    while heap:
      ((a__),   (a__))						=heapq.heappop(_A							)
      if u in visited:
        continue
      visited.add(_A							)
      if u == end:
        return cost
      for v, c in graph[u]:
        if v in visited:
          continue
        a__						=cost + c
        heapq.heappush(_A			,   (next_item, v)							)
    return -1
  
  
  lowerCamelCase     =      {
      '''A''': [['''B''', 2], ['''C''', 5]],
      '''B''': [['''A''', 2], ['''D''', 3], ['''E''', 1], ['''F''', 1]],
      '''C''': [['''A''', 5], ['''F''', 3]],
      '''D''': [['''B''', 3]],
      '''E''': [['''B''', 4], ['''F''', 3]],
      '''F''': [['''C''', 3], ['''E''', 3]],
  }
  lowerCamelCase     =      {
      '''B''': [['''C''', 1]],
      '''C''': [['''D''', 1]],
      '''D''': [['''F''', 1]],
      '''E''': [['''B''', 1], ['''F''', 3]],
      '''F''': [],
  }
  lowerCamelCase     =      {
      '''B''': [['''C''', 1]],
      '''C''': [['''D''', 1]],
      '''D''': [['''F''', 1]],
      '''E''': [['''B''', 1], ['''G''', 2]],
      '''F''': [],
      '''G''': [['''F''', 1]],
  }
  
  lowerCamelCase     =      dijkstra(G, '''E''', '''C''')
  print(short_distance)  # E -- 3 --> F -- 3 --> C == 6
  
  lowerCamelCase     =      dijkstra(Ga, '''E''', '''F''')
  print(short_distance)  # E -- 3 --> F == 3
  
  lowerCamelCase     =      dijkstra(Ga, '''E''', '''F''')
  print(short_distance)  # E -- 2 --> G -- 1 --> F == 3
  
  if __name__ == "__main__":
         import doctest
  
         doctest.testmod()
  