

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


UpperCAmelCase__			:  List[Any]					     =     logging.get_logger(__name__)

UpperCAmelCase__			:  List[str]					     =     {"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

UpperCAmelCase__			:  Optional[Any]					     =     {
    """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"""
        ),
    },
}

UpperCAmelCase__			:  Dict					     =     {
    """allenai/longformer-base-4096""": 4_096,
    """allenai/longformer-large-4096""": 4_096,
    """allenai/longformer-large-4096-finetuned-triviaqa""": 4_096,
    """allenai/longformer-base-4096-extra.pos.embd.only""": 4_096,
    """allenai/longformer-large-4096-extra.pos.embd.only""": 4_096,
}







class 							a__							( _snake_case							):







  """simple docstring"""




  UpperCAmelCase__   :			List[Any]      							=VOCAB_FILES_NAMES
  UpperCAmelCase__   :			Dict      							=PRETRAINED_VOCAB_FILES_MAP
  UpperCAmelCase__   :			List[Any]      							=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  UpperCAmelCase__   :			Optional[Any]      							=["input_ids", "attention_mask"]
  UpperCAmelCase__   :			str      							=LongformerTokenizer


  def __init__(      self     :			Tuple					,					UpperCAmelCase__     :			Dict=None					,					UpperCAmelCase__     :			str=None					,					UpperCAmelCase__     :			Any=None					,					UpperCAmelCase__     :			Union[str, Any]="replace"					,					UpperCAmelCase__     :			str="<s>"					,					UpperCAmelCase__     :			Tuple="</s>"					,					UpperCAmelCase__     :			Tuple="</s>"					,					UpperCAmelCase__     :			List[str]="<s>"					,					UpperCAmelCase__     :			Optional[int]="<unk>"					,					UpperCAmelCase__     :			Dict="<pad>"					,					UpperCAmelCase__     :			Optional[Any]="<mask>"					,					UpperCAmelCase__     :			Any=False					,					UpperCAmelCase__     :			Any=True					,					**UpperCAmelCase__     :			int					,					)       ->Tuple:
        """simple docstring"""







        super().__init__(
            _lowercase					,					_lowercase					,					tokenizer_file=_lowercase					,					errors=_lowercase					,					bos_token=_lowercase					,					eos_token=_lowercase					,					sep_token=_lowercase					,					cls_token=_lowercase					,					unk_token=_lowercase					,					pad_token=_lowercase					,					mask_token=_lowercase					,					add_prefix_space=_lowercase					,					trim_offsets=_lowercase					,					**_lowercase					,					)

        SCREAMING_SNAKE_CASE			:   Dict	  = json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()		)
        if pre_tok_state.get("""add_prefix_space"""					,					_lowercase		) != add_prefix_space:
              SCREAMING_SNAKE_CASE			:   List[Any]	  = getattr(_lowercase					,					pre_tok_state.pop("""type"""		)		)
              SCREAMING_SNAKE_CASE			:   str	  = add_prefix_space
              SCREAMING_SNAKE_CASE			:   List[Any]	  = pre_tok_class(**_lowercase		)

        SCREAMING_SNAKE_CASE			:   Optional[Any]	  = add_prefix_space

        SCREAMING_SNAKE_CASE			:   Union[str, Any]	  = """post_processor"""
        SCREAMING_SNAKE_CASE			:   Optional[int]	  = getattr(self.backend_tokenizer					,					_lowercase					,					_lowercase		)
        if tokenizer_component_instance:
              SCREAMING_SNAKE_CASE			:   List[str]	  = 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:
                    SCREAMING_SNAKE_CASE			:   Optional[Any]	  = tuple(state["""sep"""]		)
              if "cls" in state:
                    SCREAMING_SNAKE_CASE			:   Optional[int]	  = tuple(state["""cls"""]		)

              SCREAMING_SNAKE_CASE			:   Optional[int]	  = False

              if state.get("""add_prefix_space"""					,					_lowercase		) != add_prefix_space:
                    SCREAMING_SNAKE_CASE			:   str	  = add_prefix_space
                    SCREAMING_SNAKE_CASE			:   int	  = True

              if state.get("""trim_offsets"""					,					_lowercase		) != trim_offsets:
                    SCREAMING_SNAKE_CASE			:   Optional[int]	  = trim_offsets
                    SCREAMING_SNAKE_CASE			:   Tuple	  = True

              if changes_to_apply:
                    SCREAMING_SNAKE_CASE			:   str	  = getattr(_lowercase					,					state.pop("""type"""		)		)
                    SCREAMING_SNAKE_CASE			:   int	  = component_class(**_lowercase		)
                    setattr(self.backend_tokenizer					,					_lowercase					,					_lowercase		)


  @property
  def 			_lowercase   (      self     :			str		)       ->str:
        """simple docstring"""







        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 			_lowercase   (      self     :			Dict					,					UpperCAmelCase__     :			Tuple		)       ->str:
        """simple docstring"""







        SCREAMING_SNAKE_CASE			:   int	  = AddedToken(_lowercase					,					lstrip=_lowercase					,					rstrip=_lowercase		) if isinstance(_lowercase					,					_lowercase		) else value
        SCREAMING_SNAKE_CASE			:   int	  = value


  def 			_lowercase   (      self     :			Union[str, Any]					,					*UpperCAmelCase__     :			int					,					**UpperCAmelCase__     :			Union[str, Any]		)       ->BatchEncoding:
        """simple docstring"""







        SCREAMING_SNAKE_CASE			:   List[Any]	  = kwargs.get("""is_split_into_words"""					,					_lowercase		)
        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(*_lowercase					,					**_lowercase		)


  def 			_lowercase   (      self     :			List[str]					,					*UpperCAmelCase__     :			Optional[int]					,					**UpperCAmelCase__     :			List[Any]		)       ->BatchEncoding:
        """simple docstring"""







        SCREAMING_SNAKE_CASE			:   Dict	  = kwargs.get("""is_split_into_words"""					,					_lowercase		)

        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(*_lowercase					,					**_lowercase		)


  def 			_lowercase   (      self     :			Optional[int]					,					UpperCAmelCase__     :			str					,					UpperCAmelCase__     :			Optional[str] = None		)       ->Tuple[str]:
        """simple docstring"""







        SCREAMING_SNAKE_CASE			:   List[str]	  = self._tokenizer.model.save(_lowercase					,					name=_lowercase		)
        return tuple(_lowercase		)


  def 			_lowercase   (      self     :			List[Any]					,					UpperCAmelCase__     :			Optional[int]					,					UpperCAmelCase__     :			Optional[Any]=None		)       ->Optional[Any]:
        """simple docstring"""







        SCREAMING_SNAKE_CASE			:   Optional[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 			_lowercase   (      self     :			List[str]					,					UpperCAmelCase__     :			List[int]					,					UpperCAmelCase__     :			Optional[List[int]] = None		)       ->List[int]:
        """simple docstring"""







        SCREAMING_SNAKE_CASE			:   Optional[int]	  = [self.sep_token_id]
        SCREAMING_SNAKE_CASE			:   Optional[Any]	  = [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 							A     (						__UpperCAmelCase				,   __UpperCAmelCase      )			->			int:



						'''simple docstring'''






						print('''\nVertex Distance'''      )
						for i in range(__UpperCAmelCase      ):
												if dist[i] != float('''inf'''      ):
																		print(__UpperCAmelCase				,   '''\t'''				,   int(dist[i]      )				,   end='''\t'''      )
												else:
																		print(__UpperCAmelCase				,   '''\t'''				,   '''INF'''				,   end='''\t'''      )
												print()







def 							A     (						__UpperCAmelCase				,   __UpperCAmelCase				,   __UpperCAmelCase      )			->			str:



						'''simple docstring'''






						UpperCAmelCase_					=	float('''inf'''      )
						UpperCAmelCase_					=	-1
						for i in range(__UpperCAmelCase      ):
												if (not vset[i]) and mdist[i] < min_val:
																		UpperCAmelCase_					=	i
																		UpperCAmelCase_					=	mdist[i]
						return min_ind







def 							A     (						__UpperCAmelCase				,   __UpperCAmelCase				,   __UpperCAmelCase      )			->			Optional[Any]:



						'''simple docstring'''






						UpperCAmelCase_					=	[float('''inf'''      ) for _ in range(__UpperCAmelCase      )]
						UpperCAmelCase_					=	[False for _ in range(__UpperCAmelCase      )]
						UpperCAmelCase_					=	0.0

						for _ in range(v - 1      ):
												UpperCAmelCase_					=	min_dist(__UpperCAmelCase				,   __UpperCAmelCase				,   __UpperCAmelCase      )
												UpperCAmelCase_					=	True

												for i in range(__UpperCAmelCase      ):
																		if (
																		    (not vset[i])
																		    and graph[u][i] != float('''inf'''      )
																		    and mdist[u] + graph[u][i] < mdist[i]
																		):
																								UpperCAmelCase_					=	mdist[u] + graph[u][i]

						print_dist(__UpperCAmelCase				,   __UpperCAmelCase      )


if __name__ == "__main__":
							UpperCamelCase_      			=  int(input("Enter number of vertices: ").strip())
							UpperCamelCase_      			=  int(input("Enter number of edges: ").strip())

							UpperCamelCase_      			=  [[float("inf") for i in range(V)] for j in range(V)]

							for i in range(V):
														UpperCamelCase_      			=  0.0

							for i in range(E):
														print("\nEdge ", i + 1)
														UpperCamelCase_      			=  int(input("Enter source:").strip())
														UpperCamelCase_      			=  int(input("Enter destination:").strip())
														UpperCamelCase_      			=  float(input("Enter weight:").strip())
														UpperCamelCase_      			=  weight

							UpperCamelCase_      			=  int(input("\nEnter shortest path source:").strip())
							dijkstra(graph, V, gsrc)





