




import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
 from .tokenization_big_bird import BigBirdTokenizer
else:
 lowerCamelCase	:	Optional[Any]				=   None

lowerCamelCase	:	Optional[Any]				=   logging.get_logger(__name__)
lowerCamelCase	:	Dict				=   {"""vocab_file""": """spiece.model""", """tokenizer_file""": """tokenizer.json"""}

lowerCamelCase	:	List[Any]				=   {
    """vocab_file""": {
        """google/bigbird-roberta-base""": """https://huggingface.co/google/bigbird-roberta-base/resolve/main/spiece.model""",
        """google/bigbird-roberta-large""": (
            """https://huggingface.co/google/bigbird-roberta-large/resolve/main/spiece.model"""
        ),
        """google/bigbird-base-trivia-itc""": (
            """https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/spiece.model"""
        ),
    },
    """tokenizer_file""": {
        """google/bigbird-roberta-base""": (
            """https://huggingface.co/google/bigbird-roberta-base/resolve/main/tokenizer.json"""
        ),
        """google/bigbird-roberta-large""": (
            """https://huggingface.co/google/bigbird-roberta-large/resolve/main/tokenizer.json"""
        ),
        """google/bigbird-base-trivia-itc""": (
            """https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/tokenizer.json"""
        ),
    },
}

lowerCamelCase	:	Optional[Any]				=   {
    """google/bigbird-roberta-base""": 4_0_9_6,
    """google/bigbird-roberta-large""": 4_0_9_6,
    """google/bigbird-base-trivia-itc""": 4_0_9_6,
}


lowerCamelCase	:	str				=   """▁"""




class 						__lowercase		(SCREAMING_SNAKE_CASE_							):




      """simple docstring"""





      _snake_case												=						VOCAB_FILES_NAMES
      _snake_case												=						PRETRAINED_VOCAB_FILES_MAP
      _snake_case												=						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      _snake_case												=						BigBirdTokenizer
      _snake_case												=						["""input_ids""", """attention_mask"""]
      _snake_case												=						[]

      def __init__(				self    ,				A=None    ,				A=None    ,				A="<unk>"    ,				A="<s>"    ,				A="</s>"    ,				A="<pad>"    ,				A="[SEP]"    ,				A="[MASK]"    ,				A="[CLS]"    ,				**A    ,				)		->    Dict:
         snake_case				:    Dict           =	AddedToken(snake_case__    ,				lstrip=snake_case__    ,				rstrip=snake_case__     ) if isinstance(snake_case__    ,				snake_case__     ) else bos_token
         snake_case				:    int           =	AddedToken(snake_case__    ,				lstrip=snake_case__    ,				rstrip=snake_case__     ) if isinstance(snake_case__    ,				snake_case__     ) else eos_token
         snake_case				:    Union[str, Any]           =	AddedToken(snake_case__    ,				lstrip=snake_case__    ,				rstrip=snake_case__     ) if isinstance(snake_case__    ,				snake_case__     ) else unk_token
         snake_case				:    str           =	AddedToken(snake_case__    ,				lstrip=snake_case__    ,				rstrip=snake_case__     ) if isinstance(snake_case__    ,				snake_case__     ) else pad_token
         snake_case				:    int           =	AddedToken(snake_case__    ,				lstrip=snake_case__    ,				rstrip=snake_case__     ) if isinstance(snake_case__    ,				snake_case__     ) else cls_token
         snake_case				:    List[str]           =	AddedToken(snake_case__    ,				lstrip=snake_case__    ,				rstrip=snake_case__     ) if isinstance(snake_case__    ,				snake_case__     ) else sep_token

         # Mask token behave like a normal word, i.e. include the space before it
         snake_case				:    Tuple           =	AddedToken(snake_case__    ,				lstrip=snake_case__    ,				rstrip=snake_case__     ) if isinstance(snake_case__    ,				snake_case__     ) else mask_token

         super().__init__(
             snake_case__    ,				tokenizer_file=snake_case__    ,				bos_token=snake_case__    ,				eos_token=snake_case__    ,				unk_token=snake_case__    ,				sep_token=snake_case__    ,				pad_token=snake_case__    ,				cls_token=snake_case__    ,				mask_token=snake_case__    ,				**snake_case__    ,				)

         snake_case				:    Optional[Any]           =	vocab_file
         snake_case				:    Union[str, Any]           =	False if not self.vocab_file else True

      def      UpperCAmelCase				(				self    ,				A    ,				A = None     )		->    str:
         snake_case				:    List[str]           =	[self.sep_token_id]
         snake_case				:    Any           =	[self.cls_token_id]
         if token_ids_a is None:
            return cls + token_ids_a + sep
         return cls + token_ids_a + sep + token_ids_a + sep

      def      UpperCAmelCase				(				self    ,				A    ,				A = None    ,				A = False     )		->    Optional[int]:

         if already_has_special_tokens:
            if token_ids_a is not None:
               raise ValueError(
                   """You should not supply a second sequence if the provided sequence of """
                   """ids is already formatted with special tokens for the model."""     )
            return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

         if token_ids_a is None:
            return [1] + ([0] * len(snake_case__     )) + [1]
         return [1] + ([0] * len(snake_case__     )) + [1] + ([0] * len(snake_case__     )) + [1]

      def      UpperCAmelCase				(				self    ,				A    ,				A = None     )		->    List[str]:
         snake_case				:    str           =	[self.sep_token_id]
         snake_case				:    Union[str, 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     ) * [0] + len(token_ids_a + sep     ) * [1]

      def      UpperCAmelCase				(				self    ,				A    ,				A = None     )		->    Optional[Any]:

         if not self.can_save_slow_tokenizer:
            raise ValueError(
                """Your fast tokenizer does not have the necessary information to save the vocabulary for a slow """
                """tokenizer."""     )

         if not os.path.isdir(snake_case__     ):
            logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""     )
            return
         snake_case				:    List[Any]           =	os.path.join(
             snake_case__    ,				(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]     )

         if os.path.abspath(self.vocab_file     ) != os.path.abspath(snake_case__     ):
            copyfile(self.vocab_file    ,				snake_case__     )

         return (out_vocab_file,)











def 						SCREAMING_SNAKE_CASE__ (   lowercase = 1000					)  ->       int:
   snake_case				:    Optional[int]           =	3
   snake_case				:    List[Any]           =	0
   while a < n:
      if a % 3 == 0 or a % 5 == 0:
         result += a
      elif a % 15 == 0:
         result -= a
      a += 1
   return result


if __name__ == "__main__":
       print(f"""{solution() = }""")





