

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": 40_96,
    "allenai/longformer-large-4096": 40_96,
    "allenai/longformer-large-4096-finetuned-triviaqa": 40_96,
    "allenai/longformer-base-4096-extra.pos.embd.only": 40_96,
    "allenai/longformer-large-4096-extra.pos.embd.only": 40_96,
}



class 		a_	(							lowerCamelCase_					):



      """simple docstring"""







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

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

           SCREAMING_SNAKE_CASE										=add_prefix_space

           SCREAMING_SNAKE_CASE										='post_processor'
           SCREAMING_SNAKE_CASE										=getattr(self.backend_tokenizer      ,snake_case      ,snake_case    )
           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'      ,snake_case    ) != add_prefix_space:
                     SCREAMING_SNAKE_CASE										=add_prefix_space
                     SCREAMING_SNAKE_CASE										=True

                if state.get('trim_offsets'      ,snake_case    ) != trim_offsets:
                     SCREAMING_SNAKE_CASE										=trim_offsets
                     SCREAMING_SNAKE_CASE										=True

                if changes_to_apply:
                     SCREAMING_SNAKE_CASE										=getattr(snake_case      ,state.pop('type'    )    )
                     SCREAMING_SNAKE_CASE										=component_class(**snake_case    )
                     setattr(self.backend_tokenizer      ,snake_case      ,snake_case    )
      @property
      def 	_lowerCAmelCase					(				self					:							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 	_lowerCAmelCase					(				self					:							Any      ,snake_case					:							Any    ):
           SCREAMING_SNAKE_CASE										=AddedToken(snake_case      ,lstrip=snake_case      ,rstrip=snake_case    ) if isinstance(snake_case      ,snake_case    ) else value
           SCREAMING_SNAKE_CASE										=value
      def 	_lowerCAmelCase					(				self					:							Tuple      ,*snake_case					:							int      ,**snake_case					:							List[Any]    ):
           SCREAMING_SNAKE_CASE										=kwargs.get('is_split_into_words'      ,snake_case    )
           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(*snake_case      ,**snake_case    )
      def 	_lowerCAmelCase					(				self					:							Optional[Any]      ,*snake_case					:							int      ,**snake_case					:							Union[str, Any]    ):
           SCREAMING_SNAKE_CASE										=kwargs.get('is_split_into_words'      ,snake_case    )

           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(*snake_case      ,**snake_case    )
      def 	_lowerCAmelCase					(				self					:							Any      ,snake_case					:							str      ,snake_case					:							Optional[str] = None    ):
           SCREAMING_SNAKE_CASE										=self._tokenizer.model.save(snake_case      ,name=snake_case    )
           return tuple(snake_case    )
      def 	_lowerCAmelCase					(				self					:							int      ,snake_case					:							List[str]      ,snake_case					:							str=None    ):
           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 	_lowerCAmelCase					(				self					:							List[str]      ,snake_case					:							List[int]      ,snake_case					:							Optional[List[int]] = None    ):
           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]




def       snake_case__    (       lowerCAmelCase_,   lowerCAmelCase_,   lowerCAmelCase_      ):





     """simple docstring"""







     if power < 0:
          return -1
     base %= mod
     SCREAMING_SNAKE_CASE										=1

     while power > 0:
          if power & 1:
               SCREAMING_SNAKE_CASE										=(result * base) % mod
          SCREAMING_SNAKE_CASE										=power >> 1
          SCREAMING_SNAKE_CASE										=(base * base) % mod

     return result







def       snake_case__    (       ):





     """simple docstring"""







     print(modular_exponential(3,   200,   13      )      )


if __name__ == "__main__":
 import doctest

 doctest.testmod()

 main()

