

'''simple docstring'''
import json
import os
from functools import lru_cache
from typing import TYPE_CHECKING, List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


if TYPE_CHECKING:
    from transformers.pipelines.conversational import Conversation

_snake_case     =  logging.get_logger(__name__)


_snake_case     =  {
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
    'tokenizer_config_file': 'tokenizer_config.json',
}

_snake_case     =  {
    'vocab_file': {'facebook/blenderbot-3B': 'https://huggingface.co/facebook/blenderbot-3B/resolve/main/vocab.json'},
    'merges_file': {'facebook/blenderbot-3B': 'https://huggingface.co/facebook/blenderbot-3B/resolve/main/merges.txt'},
    'tokenizer_config_file': {
        'facebook/blenderbot-3B': 'https://huggingface.co/facebook/blenderbot-3B/resolve/main/tokenizer_config.json'
    },
}

_snake_case     =  {'facebook/blenderbot-3B': 128}







@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def 					_A		(	)			->	Union[str, Any]:
   _lowercase			:      Any			     =   (
       list(range(ord("!"     )		,							ord("~"     ) + 1     )     ) + list(range(ord("¡"     )		,							ord("¬"     ) + 1     )     ) + list(range(ord("®"     )		,							ord("ÿ"     ) + 1     )     )
   )
   _lowercase			:      Optional[Any]			     =   bs[:]
   _lowercase			:      Optional[Any]			     =   0
   for b in range(2**8     ):
      if b not in bs:
         bs.append(__UpperCAmelCase     )
         cs.append(2**8 + n     )
         n += 1
   _lowercase			:      Tuple			     =   [chr(__UpperCAmelCase     ) for n in cs]
   return dict(zip(__UpperCAmelCase		,							__UpperCAmelCase     )     )







def 					_A		(	snake_case     )			->	Union[str, Any]:
   _lowercase			:      Optional[int]			     =   set()
   _lowercase			:      List[str]			     =   word[0]
   for char in word[1:]:
      pairs.add((prev_char, char)     )
      _lowercase			:      Union[str, Any]			     =   char
   return pairs


class    a__  (							_UpperCAmelCase  ):
   _SCREAMING_SNAKE_CASE    :     Tuple	       =							VOCAB_FILES_NAMES
   _SCREAMING_SNAKE_CASE    :     Dict	       =							PRETRAINED_VOCAB_FILES_MAP
   _SCREAMING_SNAKE_CASE    :     Any	       =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   _SCREAMING_SNAKE_CASE    :     Optional[Any]	       =							["input_ids", "attention_mask"]


   def __init__( self			,				_UpperCamelCase			,				_UpperCamelCase			,				_UpperCamelCase="replace"			,				_UpperCamelCase="<s>"			,				_UpperCamelCase="</s>"			,				_UpperCamelCase="</s>"			,				_UpperCamelCase="<s>"			,				_UpperCamelCase="<unk>"			,				_UpperCamelCase="<pad>"			,				_UpperCamelCase="<mask>"			,				_UpperCamelCase=False			,				**_UpperCamelCase			,				):





      """simple docstring"""





      _lowercase			:      List[str]			     =   AddedToken(_UpperCAmelCase			,				lstrip=_UpperCAmelCase			,				rstrip=_UpperCAmelCase  ) if isinstance(_UpperCAmelCase			,				_UpperCAmelCase  ) else bos_token
      _lowercase			:      Optional[int]			     =   AddedToken(_UpperCAmelCase			,				lstrip=_UpperCAmelCase			,				rstrip=_UpperCAmelCase  ) if isinstance(_UpperCAmelCase			,				_UpperCAmelCase  ) else eos_token
      _lowercase			:      str			     =   AddedToken(_UpperCAmelCase			,				lstrip=_UpperCAmelCase			,				rstrip=_UpperCAmelCase  ) if isinstance(_UpperCAmelCase			,				_UpperCAmelCase  ) else sep_token
      _lowercase			:      Tuple			     =   AddedToken(_UpperCAmelCase			,				lstrip=_UpperCAmelCase			,				rstrip=_UpperCAmelCase  ) if isinstance(_UpperCAmelCase			,				_UpperCAmelCase  ) else cls_token
      _lowercase			:      int			     =   AddedToken(_UpperCAmelCase			,				lstrip=_UpperCAmelCase			,				rstrip=_UpperCAmelCase  ) if isinstance(_UpperCAmelCase			,				_UpperCAmelCase  ) else unk_token
      _lowercase			:      Optional[Any]			     =   AddedToken(_UpperCAmelCase			,				lstrip=_UpperCAmelCase			,				rstrip=_UpperCAmelCase  ) if isinstance(_UpperCAmelCase			,				_UpperCAmelCase  ) else pad_token

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

      super().__init__(
          errors=_UpperCAmelCase			,				bos_token=_UpperCAmelCase			,				eos_token=_UpperCAmelCase			,				unk_token=_UpperCAmelCase			,				sep_token=_UpperCAmelCase			,				cls_token=_UpperCAmelCase			,				pad_token=_UpperCAmelCase			,				mask_token=_UpperCAmelCase			,				add_prefix_space=_UpperCAmelCase			,				**_UpperCAmelCase			,				)

      with open(_UpperCAmelCase			,				encoding="utf-8"  ) as vocab_handle:
         _lowercase			:      Union[str, Any]			     =   json.load(_UpperCAmelCase  )
      _lowercase			:      List[Any]			     =   {v: k for k, v in self.encoder.items()}
      _lowercase			:      Dict			     =   errors  # how to handle errors in decoding
      _lowercase			:      Any			     =   bytes_to_unicode()
      _lowercase			:      Tuple			     =   {v: k for k, v in self.byte_encoder.items()}
      with open(_UpperCAmelCase			,				encoding="utf-8"  ) as merges_handle:
         _lowercase			:      List[Any]			     =   merges_handle.read().split("\n"  )[1:-1]
      _lowercase			:      Optional[int]			     =   [tuple(merge.split()  ) for merge in bpe_merges]
      _lowercase			:      List[str]			     =   dict(zip(_UpperCAmelCase			,				range(len(_UpperCAmelCase  )  )  )  )
      _lowercase			:      List[Any]			     =   {}
      _lowercase			:      Tuple			     =   add_prefix_space

      # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
      _lowercase			:      List[Any]			     =   re.compile(R"\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+"  )


   @property
   # Copied from transformers.models.roberta.tokenization_roberta.RobertaTokenizer.vocab_size with Roberta->Blenderbot, RoBERTa->Blenderbot
   def 						_lowerCamelCase   ( self  ):





      """simple docstring"""





      return len(self.encoder  )


   def 						_lowerCamelCase   ( self  ):





      """simple docstring"""





      return dict(self.encoder			,				**self.added_tokens_encoder  )


   def 						_lowerCamelCase   ( self			,				_UpperCamelCase  ):





      """simple docstring"""





      if token in self.cache:
         return self.cache[token]
      _lowercase			:      Tuple			     =   tuple(_UpperCAmelCase  )
      _lowercase			:      str			     =   get_pairs(_UpperCAmelCase  )

      if not pairs:
         return token

      while True:
         _lowercase			:      Optional[int]			     =   min(_UpperCAmelCase			,				key=lambda _UpperCamelCase  : self.bpe_ranks.get(_UpperCAmelCase			,				float("inf"  )  )  )
         if bigram not in self.bpe_ranks:
            break
         _lowercase			:      str			     =   bigram
         _lowercase			:      Tuple			     =   []
         _lowercase			:      List[Any]			     =   0
         while i < len(_UpperCAmelCase  ):
            try:
               _lowercase			:      List[str]			     =   word.index(_UpperCAmelCase			,				_UpperCAmelCase  )
            except ValueError:
               new_word.extend(word[i:]  )
               break
            else:
               new_word.extend(word[i:j]  )
               _lowercase			:      str			     =   j

            if word[i] == first and i < len(_UpperCAmelCase  ) - 1 and word[i + 1] == second:
               new_word.append(first + second  )
               i += 2
            else:
               new_word.append(word[i]  )
               i += 1
         _lowercase			:      int			     =   tuple(_UpperCAmelCase  )
         _lowercase			:      Tuple			     =   new_word
         if len(_UpperCAmelCase  ) == 1:
            break
         else:
            _lowercase			:      str			     =   get_pairs(_UpperCAmelCase  )
      _lowercase			:      Optional[Any]			     =   ''' '''.join(_UpperCAmelCase  )
      _lowercase			:      List[Any]			     =   word
      return word


   def 						_lowerCamelCase   ( self			,				_UpperCamelCase  ):





      """simple docstring"""





      _lowercase			:      Any			     =   []
      for token in re.findall(self.pat			,				_UpperCAmelCase  ):
         _lowercase			:      List[str]			     =   ''''''.join(
             self.byte_encoder[b] for b in token.encode("utf-8"  )  )  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
         bpe_tokens.extend(bpe_token for bpe_token in self.bpe(_UpperCAmelCase  ).split(" "  )  )
      return bpe_tokens


   def 						_lowerCamelCase   ( self			,				_UpperCamelCase  ):





      """simple docstring"""





      return self.encoder.get(_UpperCAmelCase			,				self.encoder.get(self.unk_token  )  )


   def 						_lowerCamelCase   ( self			,				_UpperCamelCase  ):





      """simple docstring"""





      return self.decoder.get(_UpperCAmelCase  )


   def 						_lowerCamelCase   ( self			,				_UpperCamelCase  ):





      """simple docstring"""





      _lowercase			:      List[str]			     =   ''''''.join(_UpperCAmelCase  )
      _lowercase			:      int			     =   bytearray([self.byte_decoder[c] for c in text]  ).decode("utf-8"			,				errors=self.errors  )
      return text


   def 						_lowerCamelCase   ( self			,				_UpperCamelCase			,				_UpperCamelCase = None  ):





      """simple docstring"""





      if not os.path.isdir(_UpperCAmelCase  ):
         logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''  )
         return
      _lowercase			:      int			     =   os.path.join(
          _UpperCAmelCase			,				(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]  )
      _lowercase			:      int			     =   os.path.join(
          _UpperCAmelCase			,				(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]  )

      with open(_UpperCAmelCase			,				"w"			,				encoding="utf-8"  ) as f:
         f.write(json.dumps(self.encoder			,				indent=2			,				sort_keys=_UpperCAmelCase			,				ensure_ascii=_UpperCAmelCase  ) + "\n"  )

      _lowercase			:      Optional[int]			     =   0
      with open(_UpperCAmelCase			,				"w"			,				encoding="utf-8"  ) as writer:
         writer.write("#version: 0.2\n"  )
         for bpe_tokens, token_index in sorted(self.bpe_ranks.items()			,				key=lambda _UpperCamelCase  : kv[1]  ):
            if index != token_index:
               logger.warning(
                   f'''Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'''
                   " Please check that the tokenizer is not corrupted!"  )
               _lowercase			:      Optional[Any]			     =   token_index
            writer.write(" ".join(_UpperCAmelCase  ) + "\n"  )
            index += 1

      return vocab_file, merge_file


   def 						_lowerCamelCase   ( self			,				_UpperCamelCase			,				_UpperCamelCase = None			,				_UpperCamelCase = False  ):





      """simple docstring"""





      if already_has_special_tokens:
         return super().get_special_tokens_mask(
             token_ids_a=_UpperCAmelCase			,				token_ids_a=_UpperCAmelCase			,				already_has_special_tokens=_UpperCAmelCase  )

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


   def 						_lowerCamelCase   ( self			,				_UpperCamelCase			,				_UpperCamelCase = None  ):





      """simple docstring"""





      _lowercase			:      str			     =   [self.sep_token_id]
      _lowercase			:      int			     =   [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 						_lowerCamelCase   ( self			,				_UpperCamelCase			,				_UpperCamelCase=False			,				**_UpperCamelCase  ):





      """simple docstring"""





      _lowercase			:      List[str]			     =   kwargs.pop("add_prefix_space"			,				self.add_prefix_space  )
      if (is_split_into_words or add_prefix_space) and (len(_UpperCAmelCase  ) > 0 and not text[0].isspace()):
         _lowercase			:      int			     =   ''' ''' + text
      return (text, kwargs)


   def 						_lowerCamelCase   ( self			,				_UpperCamelCase			,				_UpperCamelCase = None  ):





      """simple docstring"""





      return token_ids_a + [self.eos_token_id]






   def 						_lowerCamelCase   ( self			,				_UpperCamelCase  ):





      """simple docstring"""





      _lowercase			:      Tuple			     =   []
      for is_user, text in conversation.iter_texts():
         if is_user:
            # We need to space prefix as it's being done within blenderbot
            inputs.append(" " + text  )
         else:
            # Generated responses should contain them already.
            inputs.append(_UpperCAmelCase  )

      _lowercase			:      str			     =   '''  '''.join(_UpperCAmelCase  )
      _lowercase			:      Optional[Any]			     =   self.encode(_UpperCAmelCase  )
      if len(_UpperCAmelCase  ) > self.model_max_length:
         _lowercase			:      List[Any]			     =   input_ids[-self.model_max_length :]
         logger.warning(f'''Trimmed input from conversation as it was longer than {self.model_max_length} tokens.'''  )
      return input_ids







"""simple docstring"""






def SCREAMING_SNAKE_CASE__			(   __UpperCAmelCase )  ->  int:
   if n == 1 or not isinstance(__UpperCAmelCase       ,    __UpperCAmelCase ):
      return 0
   elif n == 2:
      return 1
   else:
      lowercase__:   List[Any]					=      [0, 1]
      for i in range(2       ,    n + 1 ):
         sequence.append(sequence[i - 1] + sequence[i - 2] )

      return sequence[n]



def SCREAMING_SNAKE_CASE__			(   __UpperCAmelCase )  ->  int:
   lowercase__:   Union[str, Any]					=      0
   lowercase__:   List[Any]					=      2

   while digits < n:
      index += 1
      lowercase__:   Dict					=      len(str(fibonacci(__UpperCAmelCase ) ) )

   return index



def SCREAMING_SNAKE_CASE__			(   __UpperCAmelCase = 1_0_0_0 )  ->  int:
   return fibonacci_digits_index(__UpperCAmelCase )


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