import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mpnet import MPNetTokenizer


UpperCAmelCase      		=					logging.get_logger(__name__)

UpperCAmelCase      		=					{"""vocab_file""": """vocab.txt""", """tokenizer_file""": """tokenizer.json"""}

UpperCAmelCase      		=					{
    """vocab_file""": {
        """microsoft/mpnet-base""": """https://huggingface.co/microsoft/mpnet-base/resolve/main/vocab.txt""",
    },
    """tokenizer_file""": {
        """microsoft/mpnet-base""": """https://huggingface.co/microsoft/mpnet-base/resolve/main/tokenizer.json""",
    },
}

UpperCAmelCase      		=					{
    """microsoft/mpnet-base""": 5_12,
}

UpperCAmelCase      		=					{
    """microsoft/mpnet-base""": {"""do_lower_case""": True},
}




class  __lowerCAmelCase	(							_lowerCamelCase    ):



 '''simple docstring'''
 _lowerCamelCase    :						Dict					     =			VOCAB_FILES_NAMES
 _lowerCamelCase    :						Optional[int]					     =			PRETRAINED_VOCAB_FILES_MAP
 _lowerCamelCase    :						Optional[int]					     =			PRETRAINED_INIT_CONFIGURATION
 _lowerCamelCase    :						Union[str, Any]					     =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 _lowerCamelCase    :						Tuple					     =			MPNetTokenizer
 _lowerCamelCase    :						Union[str, Any]					     =			['input_ids', 'attention_mask']

 def __init__(      self							:		List[str]							,      lowerCamelCase							:		Optional[Any]=None							,      lowerCamelCase							:		int=None							,      lowerCamelCase							:		Union[str, Any]=True							,      lowerCamelCase							:		Any="<s>"							,      lowerCamelCase							:		List[Any]="</s>"							,      lowerCamelCase							:		Union[str, Any]="</s>"							,      lowerCamelCase							:		Optional[int]="<s>"							,      lowerCamelCase							:		Tuple="[UNK]"							,      lowerCamelCase							:		Tuple="<pad>"							,      lowerCamelCase							:		Tuple="<mask>"							,      lowerCamelCase							:		Optional[int]=True							,      lowerCamelCase							:		str=None							,      **lowerCamelCase							:		List[Any]							,      )			->				List[Any]:
        super().__init__(
            __lowerCamelCase							,      tokenizer_file=__lowerCamelCase							,      do_lower_case=__lowerCamelCase							,      bos_token=__lowerCamelCase							,      eos_token=__lowerCamelCase							,      sep_token=__lowerCamelCase							,      cls_token=__lowerCamelCase							,      unk_token=__lowerCamelCase							,      pad_token=__lowerCamelCase							,      mask_token=__lowerCamelCase							,      tokenize_chinese_chars=__lowerCamelCase							,      strip_accents=__lowerCamelCase							,      **__lowerCamelCase							,      )

        _UpperCamelCase  :							Tuple	    =	json.loads(self.backend_tokenizer.normalizer.__getstate__()	)
        if (
            pre_tok_state.get('lowercase'							,      __lowerCamelCase	) != do_lower_case
            or pre_tok_state.get('strip_accents'							,      __lowerCamelCase	) != strip_accents
        ):
               _UpperCamelCase  :							Optional[int]	    =	getattr(__lowerCamelCase							,      pre_tok_state.pop('type'	)	)
               _UpperCamelCase  :							List[Any]	    =	do_lower_case
               _UpperCamelCase  :							Any	    =	strip_accents
               _UpperCamelCase  :							int	    =	pre_tok_class(**__lowerCamelCase	)

        _UpperCamelCase  :							List[Any]	    =	do_lower_case

 @property
 def        __snake_case       (      self							:		int	)			->				str:




        if self._mask_token is None:
               if self.verbose:
                      logger.error('Using mask_token, but it is not set yet.'	)
               return None
        return str(self._mask_token	)

 @mask_token.setter
 def        __snake_case       (      self							:		Optional[Any]							,      lowerCamelCase							:		Union[str, Any]	)			->				List[str]:
        _UpperCamelCase  :							Optional[int]	    =	AddedToken(__lowerCamelCase							,      lstrip=__lowerCamelCase							,      rstrip=__lowerCamelCase	) if isinstance(__lowerCamelCase							,      __lowerCamelCase	) else value
        _UpperCamelCase  :							Tuple	    =	value

 def        __snake_case       (      self							:		Optional[Any]							,      lowerCamelCase							:		Union[str, Any]							,      lowerCamelCase							:		Any=None	)			->				int:
        _UpperCamelCase  :							Tuple	    =	[self.bos_token_id] + token_ids_a + [self.eos_token_id]
        if token_ids_a is None:
               return output

        return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]

 def        __snake_case       (      self							:		Optional[Any]							,      lowerCamelCase							:		List[int]							,      lowerCamelCase							:		Optional[List[int]] = None	)			->				List[int]:
        _UpperCamelCase  :							int	    =	[self.sep_token_id]
        _UpperCamelCase  :							Dict	    =	[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 + sep + token_ids_a + sep	) * [0]

 def        __snake_case       (      self							:		Optional[Any]							,      lowerCamelCase							:		str							,      lowerCamelCase							:		Optional[str] = None	)			->				Tuple[str]:
        _UpperCamelCase  :							Optional[Any]	    =	self._tokenizer.model.save(__lowerCamelCase							,      name=__lowerCamelCase	)
        return tuple(__lowerCamelCase	)











'''simple docstring'''





from __future__ import annotations

from queue import Queue
class 					lowercase							:


    '''simple docstring'''

    def __init__(       self  :  Optional[int]  )				->				None:

     '''simple docstring'''




     lowerCamelCase__	=  {}

    def  a__					(       self  :  Optional[int]  )				->				None:

     '''simple docstring'''




     for i in self.vertices:
      print(__lowerCamelCase					,  " : "					,  " -> ".join([str(__lowerCamelCase  ) for j in self.vertices[i]]  )  )

    def  a__					(       self  :  Optional[Any]					,  __lowerCamelCase  :  int					,  __lowerCamelCase  :  int  )				->				None:

     '''simple docstring'''




     if from_vertex in self.vertices:
      self.vertices[from_vertex].append(__lowerCamelCase  )
     else:
      lowerCamelCase__	=  [to_vertex]




    def  a__					(       self  :  Optional[int]					,  __lowerCamelCase  :  int  )				->				set[int]:

     '''simple docstring'''




     lowerCamelCase__	=  set()

     # create a first in first out queue to store all the vertices for BFS
     lowerCamelCase__	=  Queue()

     # mark the source node as visited and enqueue it
     visited.add(__lowerCamelCase  )
     queue.put(__lowerCamelCase  )

     while not queue.empty():
      lowerCamelCase__	=  queue.get()

      # loop through all adjacent vertex and enqueue it if not yet visited
      for adjacent_vertex in self.vertices[vertex]:
       if adjacent_vertex not in visited:
        queue.put(__lowerCamelCase  )
        visited.add(__lowerCamelCase  )
     return visited


if __name__ == "__main__":
 from doctest import testmod

 testmod(verbose=True)

 __A				:				Optional[Any]					=		Graph()
 g.add_edge(0, 1)
 g.add_edge(0, 2)
 g.add_edge(1, 2)
 g.add_edge(2, 0)
 g.add_edge(2, 3)
 g.add_edge(3, 3)

 g.print_graph()
 # 0  :  1 -> 2
 # 1  :  2
 # 2  :  0 -> 3
 # 3  :  3

 assert sorted(g.bfs(2)) == [0, 1, 2, 3]

