


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:
   UpperCAmelCase_				:			Union[str, Any]   =	None

UpperCAmelCase_				:			Optional[Any]   =	logging.get_logger(__name__)
UpperCAmelCase_				:			List[str]   =	{'vocab_file': 'spiece.model', 'tokenizer_file': 'tokenizer.json'}

UpperCAmelCase_				:			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'
        ),
    },
}

UpperCAmelCase_				:			str   =	{
    'google/bigbird-roberta-base': 4096,
    'google/bigbird-roberta-large': 4096,
    'google/bigbird-base-trivia-itc': 4096,
}


UpperCAmelCase_				:			Dict   =	'▁'
class 			SCREAMING_SNAKE_CASE__  (    lowercase__      ):
      snake_case__    :					List[Any]					       =						VOCAB_FILES_NAMES
      snake_case__    :					Optional[Any]					       =						PRETRAINED_VOCAB_FILES_MAP
      snake_case__    :					Tuple					       =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      snake_case__    :					List[str]					       =						BigBirdTokenizer
      snake_case__    :					Tuple					       =						['''input_ids''', '''attention_mask''']
      snake_case__    :					List[int]					       =						[]
      def __init__(	self    :	Optional[int]					,							SCREAMING_SNAKE_CASE__    :	int=None					,							SCREAMING_SNAKE_CASE__    :	Optional[Any]=None					,							SCREAMING_SNAKE_CASE__    :	Optional[Any]="<unk>"					,							SCREAMING_SNAKE_CASE__    :	Dict="<s>"					,							SCREAMING_SNAKE_CASE__    :	List[Any]="</s>"					,							SCREAMING_SNAKE_CASE__    :	Optional[Any]="<pad>"					,							SCREAMING_SNAKE_CASE__    :	str="[SEP]"					,							SCREAMING_SNAKE_CASE__    :	Tuple="[MASK]"					,							SCREAMING_SNAKE_CASE__    :	Optional[int]="[CLS]"					,							**SCREAMING_SNAKE_CASE__    :	Dict					,							)		->      int:
             a_ :		List[str]							=  AddedToken(SCREAMING_SNAKE_CASE__					,							lstrip=SCREAMING_SNAKE_CASE__					,							rstrip=SCREAMING_SNAKE_CASE__					) if isinstance(SCREAMING_SNAKE_CASE__					,							SCREAMING_SNAKE_CASE__					) else bos_token
             a_ :		List[Any]							=  AddedToken(SCREAMING_SNAKE_CASE__					,							lstrip=SCREAMING_SNAKE_CASE__					,							rstrip=SCREAMING_SNAKE_CASE__					) if isinstance(SCREAMING_SNAKE_CASE__					,							SCREAMING_SNAKE_CASE__					) else eos_token
             a_ :		List[str]							=  AddedToken(SCREAMING_SNAKE_CASE__					,							lstrip=SCREAMING_SNAKE_CASE__					,							rstrip=SCREAMING_SNAKE_CASE__					) if isinstance(SCREAMING_SNAKE_CASE__					,							SCREAMING_SNAKE_CASE__					) else unk_token
             a_ :		List[Any]							=  AddedToken(SCREAMING_SNAKE_CASE__					,							lstrip=SCREAMING_SNAKE_CASE__					,							rstrip=SCREAMING_SNAKE_CASE__					) if isinstance(SCREAMING_SNAKE_CASE__					,							SCREAMING_SNAKE_CASE__					) else pad_token
             a_ :		Union[str, Any]							=  AddedToken(SCREAMING_SNAKE_CASE__					,							lstrip=SCREAMING_SNAKE_CASE__					,							rstrip=SCREAMING_SNAKE_CASE__					) if isinstance(SCREAMING_SNAKE_CASE__					,							SCREAMING_SNAKE_CASE__					) else cls_token
             a_ :		List[Any]							=  AddedToken(SCREAMING_SNAKE_CASE__					,							lstrip=SCREAMING_SNAKE_CASE__					,							rstrip=SCREAMING_SNAKE_CASE__					) if isinstance(SCREAMING_SNAKE_CASE__					,							SCREAMING_SNAKE_CASE__					) else sep_token

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

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

             a_ :		Any							=  vocab_file
             a_ :		Optional[int]							=  False if not self.vocab_file else True
      def 	SCREAMING_SNAKE_CASE							(	self    :	Optional[int]					,							SCREAMING_SNAKE_CASE__    :	List[int]					,							SCREAMING_SNAKE_CASE__    :	Optional[List[int]] = None					)		->      List[int]:
             a_ :		Union[str, Any]							=  [self.sep_token_id]
             a_ :		List[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 	SCREAMING_SNAKE_CASE							(	self    :	List[Any]					,							SCREAMING_SNAKE_CASE__    :	List[int]					,							SCREAMING_SNAKE_CASE__    :	Optional[List[int]] = None					,							SCREAMING_SNAKE_CASE__    :	bool = False					)		->      List[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(SCREAMING_SNAKE_CASE__					)) + [1]
             return [1] + ([0] * len(SCREAMING_SNAKE_CASE__					)) + [1] + ([0] * len(SCREAMING_SNAKE_CASE__					)) + [1]
      def 	SCREAMING_SNAKE_CASE							(	self    :	Optional[Any]					,							SCREAMING_SNAKE_CASE__    :	List[int]					,							SCREAMING_SNAKE_CASE__    :	Optional[List[int]] = None					)		->      List[int]:
             a_ :		Any							=  [self.sep_token_id]
             a_ :		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					) * [0] + len(token_ids_a + sep					) * [1]

      def 	SCREAMING_SNAKE_CASE							(	self    :	Optional[int]					,							SCREAMING_SNAKE_CASE__    :	str					,							SCREAMING_SNAKE_CASE__    :	Optional[str] = None					)		->      Tuple[str]:
             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(SCREAMING_SNAKE_CASE__					):
                    logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""					)
                    return
             a_ :		str							=  os.path.join(
                 SCREAMING_SNAKE_CASE__					,							(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']					)

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

             return (out_vocab_file,)






def 	SCREAMING_SNAKE_CASE_						(      __A			:      int    )     ->		int:

       """simple docstring"""

       if n == 1 or not isinstance(__A  ,   __A    ):
              return 0
       elif n == 2:
              return 1
       else:
              a_ :		int							=  [0, 1]
              for i in range(2  ,   n + 1    ):
                     sequence.append(sequence[i - 1] + sequence[i - 2]    )

              return sequence[n]







def 	SCREAMING_SNAKE_CASE_						(      __A			:      int    )     ->		int:

       """simple docstring"""

       a_ :		Any							=  0
       a_ :		Optional[Any]							=  2

       while digits < n:
              index += 1
              a_ :		List[Any]							=  len(str(fibonacci(__A    )    )    )

       return index







def 	SCREAMING_SNAKE_CASE_						(      __A			:      int = 10_00    )     ->		int:

       """simple docstring"""

       return fibonacci_digits_index(__A    )


if __name__ == "__main__":
   print(solution(int(str(input()).strip())))


