





'''simple docstring'''


import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mobilebert import MobileBertTokenizer


a__			:					int       						=						logging.get_logger(__name__)

a__			:					Dict       						=						{'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

a__			:					int       						=						{
    'vocab_file': {'mobilebert-uncased': 'https://huggingface.co/google/mobilebert-uncased/resolve/main/vocab.txt'},
    'tokenizer_file': {
        'mobilebert-uncased': 'https://huggingface.co/google/mobilebert-uncased/resolve/main/tokenizer.json'
    },
}

a__			:					List[str]       						=						{'mobilebert-uncased': 512}


a__			:					Union[str, Any]       						=						{}






class     lowerCAmelCase__ (				UpperCAmelCase_    ):

       '''simple docstring'''
       _lowerCamelCase								=VOCAB_FILES_NAMES
       _lowerCamelCase								=PRETRAINED_VOCAB_FILES_MAP
       _lowerCamelCase								=PRETRAINED_INIT_CONFIGURATION
       _lowerCamelCase								=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       _lowerCamelCase								=MobileBertTokenizer

       def __init__( self					:				Dict       ,     a__					:				Optional[int]=None       ,     a__					:				Tuple=None       ,     a__					:				Optional[Any]=True       ,     a__					:				Any="[UNK]"       ,     a__					:				int="[SEP]"       ,     a__					:				Optional[int]="[PAD]"       ,     a__					:				int="[CLS]"       ,     a__					:				List[str]="[MASK]"       ,     a__					:				Tuple=True       ,     a__					:				List[str]=None       ,     **a__					:				Any       ,     ):
              super().__init__(
                  a__       ,     tokenizer_file=a__       ,     do_lower_case=a__       ,     unk_token=a__       ,     sep_token=a__       ,     pad_token=a__       ,     cls_token=a__       ,     mask_token=a__       ,     tokenize_chinese_chars=a__       ,     strip_accents=a__       ,     **a__       ,     )

              UpperCAmelCase  =						json.loads(self.backend_tokenizer.normalizer.__getstate__()						)
              if (
                  normalizer_state.get('''lowercase'''       ,     a__						) != do_lower_case
                  or normalizer_state.get('''strip_accents'''       ,     a__						) != strip_accents
                  or normalizer_state.get('''handle_chinese_chars'''       ,     a__						) != tokenize_chinese_chars
              ):
                     UpperCAmelCase  =						getattr(a__       ,     normalizer_state.pop('''type'''						)						)
                     UpperCAmelCase  =						do_lower_case
                     UpperCAmelCase  =						strip_accents
                     UpperCAmelCase  =						tokenize_chinese_chars
                     UpperCAmelCase  =						normalizer_class(**a__						)

              UpperCAmelCase  =						do_lower_case

       def 			__snake_case      ( self					:				int       ,     a__					:				List[str]       ,     a__					:				Optional[int]=None						):
              UpperCAmelCase  =						[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 			__snake_case      ( self					:				List[Any]       ,     a__					:				List[int]       ,     a__					:				Optional[List[int]] = None						):
              UpperCAmelCase  =						[self.sep_token_id]
              UpperCAmelCase  =						[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 			__snake_case      ( self					:				Tuple       ,     a__					:				str       ,     a__					:				Optional[str] = None						):
              UpperCAmelCase  =						self._tokenizer.model.save(a__       ,     name=a__						)
              return tuple(a__						)








'''simple docstring'''



from collections import deque







def       _UpperCamelCase			(_lowerCamelCase				:  Union[str, Any]						)-> Optional[int]:




     '''simple docstring'''





     __snake_case            =	len(_lowerCamelCase						)
     __snake_case            =	deque()
     __snake_case            =	[False for _ in range(_lowerCamelCase						)]
     __snake_case            =	[-1 for _ in range(_lowerCamelCase						)]
     __snake_case            =	index_of[:]

     def strong_connect(_lowerCamelCase				:  Any ,						_lowerCamelCase				:  Dict ,						_lowerCamelCase				:  List[str]						):
          __snake_case            =	index  # the number when this node is seen
          __snake_case            =	index  # lowest rank node reachable from here
          index += 1
          stack.append(_lowerCamelCase						)
          __snake_case            =	True

          for w in g[v]:
               if index_of[w] == -1:
                    __snake_case            =	strong_connect(_lowerCamelCase ,						_lowerCamelCase ,						_lowerCamelCase						)
                    __snake_case            =	(
                        lowlink_of[w] if lowlink_of[w] < lowlink_of[v] else lowlink_of[v]
                    )
               elif on_stack[w]:
                    __snake_case            =	(
                        lowlink_of[w] if lowlink_of[w] < lowlink_of[v] else lowlink_of[v]
                    )

          if lowlink_of[v] == index_of[v]:
               __snake_case            =	[]
               __snake_case            =	stack.pop()
               __snake_case            =	False
               component.append(_lowerCamelCase						)
               while w != v:
                    __snake_case            =	stack.pop()
                    __snake_case            =	False
                    component.append(_lowerCamelCase						)
               components.append(_lowerCamelCase						)
          return index

     __snake_case            =	[]
     for v in range(_lowerCamelCase						):
          if index_of[v] == -1:
               strong_connect(_lowerCamelCase ,						0 ,						_lowerCamelCase						)

     return components







def       _UpperCamelCase			(_lowerCamelCase				:  Tuple ,						_lowerCamelCase				:  Optional[Any]						)-> Dict:




     '''simple docstring'''





     __snake_case            =	[[] for _ in range(_lowerCamelCase						)]
     for u, v in edges:
          g[u].append(_lowerCamelCase						)
     return g


if __name__ == "__main__":
     # Test
     UpperCAmelCase_							:	List[str]	     =		7
     UpperCAmelCase_							:	int	     =		[0, 0, 1, 2, 3, 3, 4, 4, 6]
     UpperCAmelCase_							:	Dict	     =		[1, 3, 2, 0, 1, 4, 5, 6, 5]
     UpperCAmelCase_							:	List[str]	     =		[(u, v) for u, v in zip(source, target)]
     UpperCAmelCase_							:	Tuple	     =		create_graph(n_vertices, edges)

     assert [[5], [6], [4], [3, 2, 1, 0]] == tarjan(g)






