

from __future__ import annotations

from collections.abc import Iterable, Iterator
from typing import Any, Generic, TypeVar

A__        =			TypeVar("T", bound=bool)







class    UpperCamelCase_			(  Generic[T]			):


  """simple docstring"""



  def __init__(	self    :				Dict     ,  A_    :				T	)					-> None:
      SCREAMING_SNAKE_CASE__					     =						value
      SCREAMING_SNAKE_CASE__					     =						None
      SCREAMING_SNAKE_CASE__					     =						None



  @property
  def      _UpperCamelCase    (	self    :				Tuple	)					-> T:
      return self._value







  @staticmethod
  def      _UpperCamelCase    (	A_    :				SkewNode[T] | None     ,  A_    :				SkewNode[T] | None	)					-> SkewNode[T] | None:
      if not roota:
          return roota

      if not roota:
          return roota

      if roota.value > roota.value:
          SCREAMING_SNAKE_CASE__     ,		SCREAMING_SNAKE_CASE__					     =						roota, roota

      SCREAMING_SNAKE_CASE__					     =						roota
      SCREAMING_SNAKE_CASE__					     =						roota.right
      SCREAMING_SNAKE_CASE__					     =						roota.left
      SCREAMING_SNAKE_CASE__					     =						SkewNode.merge(A_     ,  A_	)

      return result







class    UpperCamelCase_			(  Generic[T]			):


  """simple docstring"""



  def __init__(	self    :				Optional[int]     ,  A_    :				Iterable[T] | None = ()	)					-> None:
      SCREAMING_SNAKE_CASE__					     =						None
      if data:
          for item in data:
              self.insert(A_	)



  def __bool__(	self    :				Union[str, Any]	)					-> bool:
      return self._root is not None



  def __iter__(	self    :				Any	)					-> Iterator[T]:
      SCREAMING_SNAKE_CASE__					     =						[]
      while self:
          result.append(self.pop()	)

      # Pushing items back to the heap not to clear it.
      for item in result:
          self.insert(A_	)

      return iter(A_	)



  def      _UpperCamelCase    (	self    :				Tuple     ,  A_    :				T	)					-> None:
      SCREAMING_SNAKE_CASE__					     =						SkewNode.merge(self._root     ,  SkewNode(A_	)	)



  def      _UpperCamelCase    (	self    :				Tuple	)					-> T | None:
      SCREAMING_SNAKE_CASE__					     =						self.top()
      SCREAMING_SNAKE_CASE__					     =						(
          SkewNode.merge(self._root.left     ,  self._root.right	) if self._root else None
      )

      return result



  def      _UpperCamelCase    (	self    :				Dict	)					-> T:
      if not self._root:
          raise IndexError("Can't get top element for the empty heap."	)
      return self._root.value







  def      _UpperCamelCase    (	self    :				Optional[Any]	)					-> None:
      SCREAMING_SNAKE_CASE__					     =						None


if __name__ == "__main__":
  import doctest

  doctest.testmod()





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


A__        =			logging.get_logger(__name__)

A__        =			{"vocab_file": "vocab.json", "merges_file": "merges.txt", "tokenizer_file": "tokenizer.json"}

A__        =			{
    "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"
        ),
    },
}

A__        =			{
    "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    UpperCamelCase_			(  _snake_case			):


  """simple docstring"""
  SCREAMING_SNAKE_CASE__				: str										=      VOCAB_FILES_NAMES
  SCREAMING_SNAKE_CASE__				: Optional[int]										=      PRETRAINED_VOCAB_FILES_MAP
  SCREAMING_SNAKE_CASE__				: Any										=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  SCREAMING_SNAKE_CASE__				: List[str]										=      ["""input_ids""", """attention_mask"""]
  SCREAMING_SNAKE_CASE__				: List[str]										=      LongformerTokenizer



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

      SCREAMING_SNAKE_CASE__					     =						json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()	)
      if pre_tok_state.get("add_prefix_space"     ,  A_	) != add_prefix_space:
          SCREAMING_SNAKE_CASE__					     =						getattr(A_     ,  pre_tok_state.pop("type"	)	)
          SCREAMING_SNAKE_CASE__					     =						add_prefix_space
          SCREAMING_SNAKE_CASE__					     =						pre_tok_class(**A_	)

      SCREAMING_SNAKE_CASE__					     =						add_prefix_space

      SCREAMING_SNAKE_CASE__					     =						"post_processor"
      SCREAMING_SNAKE_CASE__					     =						getattr(self.backend_tokenizer     ,  A_     ,  A_	)
      if tokenizer_component_instance:
          SCREAMING_SNAKE_CASE__					     =						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__					     =						tuple(state["sep"]	)
          if "cls" in state:
              SCREAMING_SNAKE_CASE__					     =						tuple(state["cls"]	)

          SCREAMING_SNAKE_CASE__					     =						False

          if state.get("add_prefix_space"     ,  A_	) != add_prefix_space:
              SCREAMING_SNAKE_CASE__					     =						add_prefix_space
              SCREAMING_SNAKE_CASE__					     =						True

          if state.get("trim_offsets"     ,  A_	) != trim_offsets:
              SCREAMING_SNAKE_CASE__					     =						trim_offsets
              SCREAMING_SNAKE_CASE__					     =						True

          if changes_to_apply:
              SCREAMING_SNAKE_CASE__					     =						getattr(A_     ,  state.pop("type"	)	)
              SCREAMING_SNAKE_CASE__					     =						component_class(**A_	)
              setattr(self.backend_tokenizer     ,  A_     ,  A_	)



  @property
  def      _UpperCamelCase    (	self    :				Dict	)					-> 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      _UpperCamelCase    (	self    :				int     ,  A_    :				Optional[Any]	)					-> int:
      SCREAMING_SNAKE_CASE__					     =						AddedToken(A_     ,  lstrip=A_     ,  rstrip=A_	) if isinstance(A_     ,  A_	) else value
      SCREAMING_SNAKE_CASE__					     =						value



  def      _UpperCamelCase    (	self    :				int     ,  *A_    :				int     ,  **A_    :				Dict	)					-> BatchEncoding:
      SCREAMING_SNAKE_CASE__					     =						kwargs.get("is_split_into_words"     ,  A_	)
      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(*A_     ,  **A_	)



  def      _UpperCamelCase    (	self    :				Dict     ,  *A_    :				int     ,  **A_    :				Union[str, Any]	)					-> BatchEncoding:
      SCREAMING_SNAKE_CASE__					     =						kwargs.get("is_split_into_words"     ,  A_	)

      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(*A_     ,  **A_	)



  def      _UpperCamelCase    (	self    :				int     ,  A_    :				str     ,  A_    :				Optional[str] = None	)					-> Tuple[str]:
      SCREAMING_SNAKE_CASE__					     =						self._tokenizer.model.save(A_     ,  name=A_	)
      return tuple(A_	)



  def      _UpperCamelCase    (	self    :				Tuple     ,  A_    :				List[str]     ,  A_    :				str=None	)					-> List[str]:
      SCREAMING_SNAKE_CASE__					     =						[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    :				List[str]     ,  A_    :				List[int]     ,  A_    :				Optional[List[int]] = None	)					-> List[int]:
      SCREAMING_SNAKE_CASE__					     =						[self.sep_token_id]
      SCREAMING_SNAKE_CASE__					     =						[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]


