
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""": 4_0_9_6,
    """allenai/longformer-large-4096""": 4_0_9_6,
    """allenai/longformer-large-4096-finetuned-triviaqa""": 4_0_9_6,
    """allenai/longformer-base-4096-extra.pos.embd.only""": 4_0_9_6,
    """allenai/longformer-large-4096-extra.pos.embd.only""": 4_0_9_6,
}





class 							A__		(     __SCREAMING_SNAKE_CASE):
      _UpperCAmelCase    :   Tuple   	=      VOCAB_FILES_NAMES
      _UpperCAmelCase    :   List[str]   	=      PRETRAINED_VOCAB_FILES_MAP
      _UpperCAmelCase    :   int   	=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      _UpperCAmelCase    :   Tuple   	=      ["""input_ids""", """attention_mask"""]
      _UpperCAmelCase    :   List[Any]   	=      LongformerTokenizer
      def __init__(				self   ,  __magic_name__=None   ,  __magic_name__=None   ,  __magic_name__=None   ,  __magic_name__="replace"   ,  __magic_name__="<s>"   ,  __magic_name__="</s>"   ,  __magic_name__="</s>"   ,  __magic_name__="<s>"   ,  __magic_name__="<unk>"   ,  __magic_name__="<pad>"   ,  __magic_name__="<mask>"   ,  __magic_name__=False   ,  __magic_name__=True   ,  **__magic_name__   ,  ):
       super().__init__(
           __magic_name__   ,  __magic_name__   ,  tokenizer_file=__magic_name__   ,  errors=__magic_name__   ,  bos_token=__magic_name__   ,  eos_token=__magic_name__   ,  sep_token=__magic_name__   ,  cls_token=__magic_name__   ,  unk_token=__magic_name__   ,  pad_token=__magic_name__   ,  mask_token=__magic_name__   ,  add_prefix_space=__magic_name__   ,  trim_offsets=__magic_name__   ,  **__magic_name__   ,  )

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

       lowerCamelCase		:     Dict          =				add_prefix_space

       lowerCamelCase		:     Optional[int]          =				"""post_processor"""
       lowerCamelCase		:     Any          =				getattr(self.backend_tokenizer   ,  __magic_name__   ,  __magic_name__				)
       if tokenizer_component_instance:
        lowerCamelCase		:     Tuple          =				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		:     List[Any]          =				tuple(state["""sep"""]				)
        if "cls" in state:
         lowerCamelCase		:     Any          =				tuple(state["""cls"""]				)

        lowerCamelCase		:     Any          =				False

        if state.get("""add_prefix_space"""   ,  __magic_name__				) != add_prefix_space:
         lowerCamelCase		:     Optional[int]          =				add_prefix_space
         lowerCamelCase		:     Tuple          =				True

        if state.get("""trim_offsets"""   ,  __magic_name__				) != trim_offsets:
         lowerCamelCase		:     Optional[Any]          =				trim_offsets
         lowerCamelCase		:     Optional[int]          =				True

        if changes_to_apply:
         lowerCamelCase		:     str          =				getattr(__magic_name__   ,  state.pop("""type"""				)				)
         lowerCamelCase		:     str          =				component_class(**__magic_name__				)
         setattr(self.backend_tokenizer   ,  __magic_name__   ,  __magic_name__				)
      @property
      def 						UpperCamelCase__							(				self				):
       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   ,  __magic_name__				):
       lowerCamelCase		:     str          =				AddedToken(__magic_name__   ,  lstrip=__magic_name__   ,  rstrip=__magic_name__				) if isinstance(__magic_name__   ,  __magic_name__				) else value
       lowerCamelCase		:     List[str]          =				value
      def 						UpperCamelCase__							(				self   ,  *__magic_name__   ,  **__magic_name__				):
       lowerCamelCase		:     Optional[Any]          =				kwargs.get("""is_split_into_words"""   ,  __magic_name__				)
       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(*__magic_name__   ,  **__magic_name__				)
      def 						UpperCamelCase__							(				self   ,  *__magic_name__   ,  **__magic_name__				):
       lowerCamelCase		:     str          =				kwargs.get("""is_split_into_words"""   ,  __magic_name__				)

       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(*__magic_name__   ,  **__magic_name__				)
      def 						UpperCamelCase__							(				self   ,  __magic_name__   ,  __magic_name__ = None				):
       lowerCamelCase		:     Union[str, Any]          =				self._tokenizer.model.save(__magic_name__   ,  name=__magic_name__				)
       return tuple(__magic_name__				)
      def 						UpperCamelCase__							(				self   ,  __magic_name__   ,  __magic_name__=None				):
       lowerCamelCase		:     Union[str, 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   ,  __magic_name__   ,  __magic_name__ = None				):
       lowerCamelCase		:     Any          =				[self.sep_token_id]
       lowerCamelCase		:     List[str]          =				[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]






import sys





def    _a (						lowerCamelCase,     lowerCamelCase							):
 if not numbers:
  return 0
 if target == 0 and target in numbers:
  return 0
 if not isinstance(lowerCamelCase,     (list, tuple)							) or not all(
     isinstance(lowerCamelCase,     lowerCamelCase							) for number in numbers							):
  raise ValueError("""numbers must be an iterable of integers"""							)

 lowerCamelCase		:     str          =				0
 lowerCamelCase		:     List[str]          =				sys.maxsize

 while right < len(lowerCamelCase							):
  curr_sum += numbers[right]
  while curr_sum >= target and left <= right:
   lowerCamelCase		:     Any          =				min(lowerCamelCase,     right - left + 1							)
   curr_sum -= numbers[left]
   left += 1
  right += 1

 return 0 if min_len == sys.maxsize else min_len




