





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


__lowercase													=			logging.get_logger(__name__)

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

__lowercase													=			{
    """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"""
        ),
    },
}

__lowercase													=			{
    """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   __snake_case				(			a__   ):






    '''simple docstring'''
    _lowerCAmelCase     =	VOCAB_FILES_NAMES
    _lowerCAmelCase     =	PRETRAINED_VOCAB_FILES_MAP
    _lowerCAmelCase     =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    _lowerCAmelCase     =	["""input_ids""", """attention_mask"""]
    _lowerCAmelCase     =	LongformerTokenizer





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

      """simple docstring"""





      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			,						)

      __lowerCAmelCase			=				json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()							)
      if pre_tok_state.get('''add_prefix_space'''			,						__A							) != add_prefix_space:
        __lowerCAmelCase			=				getattr(__A			,						pre_tok_state.pop('''type'''							)							)
        __lowerCAmelCase			=				add_prefix_space
        __lowerCAmelCase			=				pre_tok_class(**__A							)

      __lowerCAmelCase			=				add_prefix_space

      __lowerCAmelCase			=				"post_processor"
      __lowerCAmelCase			=				getattr(self.backend_tokenizer			,						__A			,						__A							)
      if tokenizer_component_instance:
        __lowerCAmelCase			=				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:
          __lowerCAmelCase			=				tuple(state['''sep''']							)
        if "cls" in state:
          __lowerCAmelCase			=				tuple(state['''cls''']							)

        __lowerCAmelCase			=				False

        if state.get('''add_prefix_space'''			,						__A							) != add_prefix_space:
          __lowerCAmelCase			=				add_prefix_space
          __lowerCAmelCase			=				True

        if state.get('''trim_offsets'''			,						__A							) != trim_offsets:
          __lowerCAmelCase			=				trim_offsets
          __lowerCAmelCase			=				True

        if changes_to_apply:
          __lowerCAmelCase			=				getattr(__A			,						state.pop('''type'''							)							)
          __lowerCAmelCase			=				component_class(**__A							)
          setattr(self.backend_tokenizer			,						__A			,						__A							)





    @property
    def 	A		(   self						:		Optional[int]							):

      """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 	A		(   self						:		List[Any]			,						snake_case						:		str							):

      """simple docstring"""





      __lowerCAmelCase			=				AddedToken(__A			,						lstrip=__A			,						rstrip=__A							) if isinstance(__A			,						__A							) else value
      __lowerCAmelCase			=				value





    def 	A		(   self						:		Tuple			,						*snake_case						:		Optional[int]			,						**snake_case						:		int							):

      """simple docstring"""





      __lowerCAmelCase			=				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 	A		(   self						:		List[str]			,						*snake_case						:		Optional[int]			,						**snake_case						:		List[str]							):

      """simple docstring"""





      __lowerCAmelCase			=				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 	A		(   self						:		List[str]			,						snake_case						:		Any			,						snake_case						:		Union[str, Any] = None							):

      """simple docstring"""





      __lowerCAmelCase			=				self._tokenizer.model.save(__A			,						name=__A							)
      return tuple(__A							)





    def 	A		(   self						:		Any			,						snake_case						:		Optional[Any]			,						snake_case						:		Optional[int]=None							):

      """simple docstring"""





      __lowerCAmelCase			=				[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 	A		(   self						:		Optional[Any]			,						snake_case						:		List[str]			,						snake_case						:		Optional[int] = None							):

      """simple docstring"""





      __lowerCAmelCase			=				[self.sep_token_id]
      __lowerCAmelCase			=				[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 					__SCREAMING_SNAKE_CASE  (							__lowercase:		list):



  '''simple docstring'''






  if len(__lowercase) <= 1:
    return data
  else:
    return [
        *quick_sort([e for e in data[1:] if e <= data[0]]),
        data[0],
        *quick_sort([e for e in data[1:] if e > data[0]]),
    ]


if __name__ == "__main__":
      import doctest

      doctest.testmod()
