


import json
from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_longformer import LongformerTokenizer


__lowerCamelCase   	=  logging.get_logger(__name__)

__lowerCamelCase   	=  {'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

__lowerCamelCase   	=  {
    '''vocab_file''': {
        '''allenai/longformer-base-4096''': '''https://huggingface.co/allenai/longformer-base-4096/resolve/main/vocab.json''',
        '''allenai/longformer-large-4096''': (
            '''https://huggingface.co/allenai/longformer-large-4096/resolve/main/vocab.json'''
        ),
        '''allenai/longformer-large-4096-finetuned-triviaqa''': (
            '''https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/vocab.json'''
        ),
        '''allenai/longformer-base-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/vocab.json'''
        ),
        '''allenai/longformer-large-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/vocab.json'''
        ),
    },
    '''merges_file''': {
        '''allenai/longformer-base-4096''': '''https://huggingface.co/allenai/longformer-base-4096/resolve/main/merges.txt''',
        '''allenai/longformer-large-4096''': (
            '''https://huggingface.co/allenai/longformer-large-4096/resolve/main/merges.txt'''
        ),
        '''allenai/longformer-large-4096-finetuned-triviaqa''': (
            '''https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/merges.txt'''
        ),
        '''allenai/longformer-base-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/merges.txt'''
        ),
        '''allenai/longformer-large-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/merges.txt'''
        ),
    },
    '''tokenizer_file''': {
        '''allenai/longformer-base-4096''': (
            '''https://huggingface.co/allenai/longformer-base-4096/resolve/main/tokenizer.json'''
        ),
        '''allenai/longformer-large-4096''': (
            '''https://huggingface.co/allenai/longformer-large-4096/resolve/main/tokenizer.json'''
        ),
        '''allenai/longformer-large-4096-finetuned-triviaqa''': (
            '''https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/tokenizer.json'''
        ),
        '''allenai/longformer-base-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/tokenizer.json'''
        ),
        '''allenai/longformer-large-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/tokenizer.json'''
        ),
    },
}

__lowerCamelCase   	=  {
    '''allenai/longformer-base-4096''': 4096,
    '''allenai/longformer-large-4096''': 4096,
    '''allenai/longformer-large-4096-finetuned-triviaqa''': 4096,
    '''allenai/longformer-base-4096-extra.pos.embd.only''': 4096,
    '''allenai/longformer-large-4096-extra.pos.embd.only''': 4096,
}


class 	a__						(    lowerCAmelCase_     ):
       lowerCamelCase__:  List[Any]				     =  VOCAB_FILES_NAMES
       lowerCamelCase__:  Any				     =  PRETRAINED_VOCAB_FILES_MAP
       lowerCamelCase__:  List[Any]				     =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       lowerCamelCase__:  List[Any]				     =  ["""input_ids""", """attention_mask"""]
       lowerCamelCase__:  int				     =  LongformerTokenizer

       def __init__( self   :  Union[str, Any]   ,				lowerCamelCase_   :  str=None   ,				lowerCamelCase_   :  List[Any]=None   ,				lowerCamelCase_   :  Any=None   ,				lowerCamelCase_   :  Any="replace"   ,				lowerCamelCase_   :  str="<s>"   ,				lowerCamelCase_   :  Dict="</s>"   ,				lowerCamelCase_   :  Optional[int]="</s>"   ,				lowerCamelCase_   :  Optional[int]="<s>"   ,				lowerCamelCase_   :  Dict="<unk>"   ,				lowerCamelCase_   :  Any="<pad>"   ,				lowerCamelCase_   :  List[str]="<mask>"   ,				lowerCamelCase_   :  Dict=False   ,				lowerCamelCase_   :  Optional[int]=True   ,				**lowerCamelCase_   :  Optional[Any]   ,				):
            super().__init__(
                lowerCamelCase_   ,				lowerCamelCase_   ,				tokenizer_file=lowerCamelCase_   ,				errors=lowerCamelCase_   ,				bos_token=lowerCamelCase_   ,				eos_token=lowerCamelCase_   ,				sep_token=lowerCamelCase_   ,				cls_token=lowerCamelCase_   ,				unk_token=lowerCamelCase_   ,				pad_token=lowerCamelCase_   ,				mask_token=lowerCamelCase_   ,				add_prefix_space=lowerCamelCase_   ,				trim_offsets=lowerCamelCase_   ,				**lowerCamelCase_   ,				)

            a_     :  Optional[Any]				      =     json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()     )
            if pre_tok_state.get("""add_prefix_space"""   ,				lowerCamelCase_     ) != add_prefix_space:
                 a_     :  int				      =     getattr(lowerCamelCase_   ,				pre_tok_state.pop("""type"""     )     )
                 a_     :  str				      =     add_prefix_space
                 a_     :  str				      =     pre_tok_class(**lowerCamelCase_     )

            a_     :  Optional[Any]				      =     add_prefix_space

            a_     :  str				      =     """post_processor"""
            a_     :  str				      =     getattr(self.backend_tokenizer   ,				lowerCamelCase_   ,				lowerCamelCase_     )
            if tokenizer_component_instance:
                 a_     :  Any				      =     json.loads(tokenizer_component_instance.__getstate__()     )

                 # The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
                 if "sep" in state:
                      a_     :  Optional[Any]				      =     tuple(state["""sep"""]     )
                 if "cls" in state:
                      a_     :  str				      =     tuple(state["""cls"""]     )

                 a_     :  Optional[Any]				      =     False

                 if state.get("""add_prefix_space"""   ,				lowerCamelCase_     ) != add_prefix_space:
                      a_     :  List[Any]				      =     add_prefix_space
                      a_     :  Any				      =     True

                 if state.get("""trim_offsets"""   ,				lowerCamelCase_     ) != trim_offsets:
                      a_     :  int				      =     trim_offsets
                      a_     :  str				      =     True

                 if changes_to_apply:
                      a_     :  Any				      =     getattr(lowerCamelCase_   ,				state.pop("""type"""     )     )
                      a_     :  Union[str, Any]				      =     component_class(**lowerCamelCase_     )
                      setattr(self.backend_tokenizer   ,				lowerCamelCase_   ,				lowerCamelCase_     )

       @property
       def     UpperCAmelCase( self   :  Dict     ):
            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     UpperCAmelCase( self   :  Optional[int]   ,				lowerCamelCase_   :  int     ):
            a_     :  List[str]				      =     AddedToken(lowerCamelCase_   ,				lstrip=lowerCamelCase_   ,				rstrip=lowerCamelCase_     ) if isinstance(lowerCamelCase_   ,				lowerCamelCase_     ) else value
            a_     :  Optional[int]				      =     value

       def     UpperCAmelCase( self   :  str   ,				*lowerCamelCase_   :  int   ,				**lowerCamelCase_   :  List[Any]     ):
            a_     :  Any				      =     kwargs.get("""is_split_into_words"""   ,				lowerCamelCase_     )
            assert self.add_prefix_space or not is_split_into_words, (
                F'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
                "to use it with pretokenized inputs."
            )

            return super()._batch_encode_plus(*lowerCamelCase_   ,				**lowerCamelCase_     )

       def     UpperCAmelCase( self   :  Union[str, Any]   ,				*lowerCamelCase_   :  Dict   ,				**lowerCamelCase_   :  int     ):
            a_     :  List[str]				      =     kwargs.get("""is_split_into_words"""   ,				lowerCamelCase_     )

            assert self.add_prefix_space or not is_split_into_words, (
                F'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
                "to use it with pretokenized inputs."
            )

            return super()._encode_plus(*lowerCamelCase_   ,				**lowerCamelCase_     )

       def     UpperCAmelCase( self   :  int   ,				lowerCamelCase_   :  str   ,				lowerCamelCase_   :  Optional[str] = None     ):
            a_     :  List[Any]				      =     self._tokenizer.model.save(lowerCamelCase_   ,				name=lowerCamelCase_     )
            return tuple(lowerCamelCase_     )

       def     UpperCAmelCase( self   :  str   ,				lowerCamelCase_   :  Any   ,				lowerCamelCase_   :  Dict=None     ):
            a_     :  List[Any]				      =     [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     UpperCAmelCase( self   :  Optional[Any]   ,				lowerCamelCase_   :  List[int]   ,				lowerCamelCase_   :  Optional[List[int]] = None     ):
            a_     :  Any				      =     [self.sep_token_id]
            a_     :  Optional[int]				      =     [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]











'''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]

