code: 
  """simple docstring"""
  import json
  import os
  from typing import List, Optional, Tuple
  
  from ...tokenization_utils import PreTrainedTokenizer
  from ...utils import logging
  
  
  _lowerCAmelCase					:List[Any]  =      logging.get_logger(__name__)
  
  _lowerCAmelCase					:int  =      {
      'vocab_file': 'vocab.json',
      'merges_file': 'merges.txt',
  }
  
  _lowerCAmelCase					:Dict  =      {
      'vocab_file': {
          'microsoft/biogpt': 'https://huggingface.co/microsoft/biogpt/resolve/main/vocab.json',
      },
      'merges_file': {'microsoft/biogpt': 'https://huggingface.co/microsoft/biogpt/resolve/main/merges.txt'},
  }
  
  _lowerCAmelCase					:List[Any]  =      {
      'microsoft/biogpt': 1_024,
  }
  
  
  
  
  
  def 				lowerCamelCase_		(UpperCamelCase__	:	Any							):
      _UpperCAmelCase							:						str       							=					set()
      _UpperCAmelCase							:						List[Any]       							=					word[0]
      for char in word[1:]:
          pairs.add((prev_char, char)							)
          _UpperCAmelCase							:						Dict       							=					char
      return pairs
  
  
  class 							_UpperCAmelCase							(				a   ):
  
  
  
  
  
       '''simple docstring'''
  
  
  
       a__             =VOCAB_FILES_NAMES
       a__             =PRETRAINED_VOCAB_FILES_MAP
       a__             =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       a__             =['''input_ids''', '''attention_mask''']
  
  
  
  
  
       def __init__(      self ,			A ,			A ,			A="<unk>" ,			A="<s>" ,			A="</s>" ,			A="</s>" ,			A="<pad>" ,			**A ,			)							->      Optional[int]:
           super().__init__(
               bos_token=A ,			eos_token=A ,			sep_token=A ,			unk_token=A ,			pad_token=A ,			**A ,			)
  
           try:
               import sacremoses
           except ImportError:
               raise ImportError(
                   '''You need to install sacremoses to use BioGptTokenizer. '''
                   '''See https://pypi.org/project/sacremoses/ for installation.'''	)
  
           _UpperCAmelCase							:						str       							=					'''en'''
           _UpperCAmelCase							:						str       							=					sacremoses
           # cache of sm.MosesTokenizer instance
           _UpperCAmelCase							:						Optional[int]       							=					{}
           _UpperCAmelCase							:						Tuple       							=					{}
           with open(A ,			encoding='''utf-8'''	) as vocab_handle:
               _UpperCAmelCase							:						Union[str, Any]       							=					json.load(A	)
           _UpperCAmelCase							:						Optional[int]       							=					{v: k for k, v in self.encoder.items()}
           with open(A ,			encoding='''utf-8'''	) as merges_handle:
               _UpperCAmelCase							:						Any       							=					merges_handle.read().split('''\n'''	)[:-1]
           _UpperCAmelCase							:						Union[str, Any]       							=					[tuple(merge.split()[:2]	) for merge in merges]
           _UpperCAmelCase							:						Dict       							=					dict(zip(A ,			range(len(A	)	)	)	)
           _UpperCAmelCase							:						Optional[Any]       							=					{}
  
  
  
  
  
       @property
       def 				__lowerCAmelCase			(      self	)							->      List[str]:
           return len(self.encoder	)
  
  
  
  
  
       def 				__lowerCAmelCase			(      self	)							->      Dict:
           return dict(self.encoder ,			**self.added_tokens_encoder	)
  
  
  
  
  
       def 				__lowerCAmelCase			(      self ,			A ,			A	)							->      Any:
           if lang not in self.cache_moses_tokenizer:
               _UpperCAmelCase							:						Dict       							=					self.sm.MosesTokenizer(lang=A	)
               _UpperCAmelCase							:						Dict       							=					moses_tokenizer
           return self.cache_moses_tokenizer[lang].tokenize(
               A ,			aggressive_dash_splits=A ,			return_str=A ,			escape=A	)
  
  
  
  
  
       def 				__lowerCAmelCase			(      self ,			A ,			A	)							->      Any:
           if lang not in self.cache_moses_detokenizer:
               _UpperCAmelCase							:						List[Any]       							=					self.sm.MosesDetokenizer(lang=A	)
               _UpperCAmelCase							:						str       							=					moses_detokenizer
           return self.cache_moses_detokenizer[lang].detokenize(A	)
  
  
  
  
  
       def 				__lowerCAmelCase			(      self ,			A	)							->      Any:
           _UpperCAmelCase							:						int       							=					tuple(token[:-1]	) + (token[-1] + '''</w>''',)
           if token in self.cache:
               return self.cache[token]
           _UpperCAmelCase							:						Dict       							=					get_pairs(A	)
  
           if not pairs:
               return token + "</w>"
  
           while True:
               _UpperCAmelCase							:						Dict       							=					min(A ,			key=lambda A	: self.bpe_ranks.get(A ,			float('''inf'''	)	)	)
               if bigram not in self.bpe_ranks:
                   break
               _UpperCAmelCase							:						str       							=					bigram
               _UpperCAmelCase							:						str       							=					[]
               _UpperCAmelCase							:						int       							=					0
               while i < len(A	):
                   try:
                       _UpperCAmelCase							:						str       							=					word.index(A ,			A	)
                   except ValueError:
                       new_word.extend(word[i:]	)
                       break
                   else:
                       new_word.extend(word[i:j]	)
                       _UpperCAmelCase							:						Any       							=					j
  
                   if word[i] == first and i < len(A	) - 1 and word[i + 1] == second:
                       new_word.append(first + second	)
                       i += 2
                   else:
                       new_word.append(word[i]	)
                       i += 1
               _UpperCAmelCase							:						Tuple       							=					tuple(A	)
               _UpperCAmelCase							:						Any       							=					new_word
               if len(A	) == 1:
                   break
               else:
                   _UpperCAmelCase							:						Union[str, Any]       							=					get_pairs(A	)
           _UpperCAmelCase							:						Optional[int]       							=					''' '''.join(A	)
           if word == "\n  </w>":
               _UpperCAmelCase							:						Tuple       							=					'''\n</w>'''
           _UpperCAmelCase							:						Dict       							=					word
           return word
  
  
  
  
  
       def 				__lowerCAmelCase			(      self ,			A ,			A=False	)							->      Any:
           if bypass_tokenizer:
               _UpperCAmelCase							:						str       							=					text.split()
           else:
               _UpperCAmelCase							:						Union[str, Any]       							=					self.moses_tokenize(A ,			self.lang	)
  
           _UpperCAmelCase							:						str       							=					[]
           for token in text:
               if token:
                   split_tokens.extend(list(self.bpe(A	).split(''' '''	)	)	)
  
           return split_tokens
  
  
  
  
  
       def 				__lowerCAmelCase			(      self ,			A	)							->      List[Any]:
           return self.encoder.get(A ,			self.encoder.get(self.unk_token	)	)
  
  
  
  
  
       def 				__lowerCAmelCase			(      self ,			A	)							->      List[Any]:
           return self.decoder.get(A ,			self.unk_token	)
  
  
  
  
  
       def 				__lowerCAmelCase			(      self ,			A	)							->      Dict:
           _UpperCAmelCase							:						Any       							=					[t.replace(''' ''' ,			''''''	).replace('''</w>''' ,			''' '''	) for t in tokens]
           _UpperCAmelCase							:						Any       							=					''''''.join(A	).split()
           # detokenize
           _UpperCAmelCase							:						Optional[Any]       							=					self.moses_detokenize(A ,			self.lang	)
           return text
  
  
  
  
  
       def 				__lowerCAmelCase			(      self ,			A ,			A = None	)							->      List[int]:
           if token_ids_a is None:
               return [self.sep_token_id] + token_ids_a
           _UpperCAmelCase							:						Union[str, Any]       							=					[self.sep_token_id]
           return sep + token_ids_a + sep + token_ids_a
  
  
  
  
  
       def 				__lowerCAmelCase			(      self ,			A ,			A = None ,			A = False	)							->      List[int]:
           if already_has_special_tokens:
               return super().get_special_tokens_mask(
                   token_ids_a=A ,			token_ids_a=A ,			already_has_special_tokens=A	)
           # no bos used in fairseq
           if token_ids_a is not None:
               return [1] + ([0] * len(A	)) + [1] + ([0] * len(A	))
           return [1] + ([0] * len(A	))
  
  
  
  
  
       def 				__lowerCAmelCase			(      self ,			A ,			A = None	)							->      List[int]:
           _UpperCAmelCase							:						int       							=					[self.sep_token_id]
  
           # no bos used in fairseq
           if token_ids_a is None:
               return len(token_ids_a + sep	) * [0]
           return len(token_ids_a + sep	) * [0] + len(token_ids_a + sep	) * [1]
  
  
  
  
  
       def 				__lowerCAmelCase			(      self ,			A ,			A = None	)							->      Tuple[str]:
           if not os.path.isdir(A	):
               logger.error(f'Vocabulary path ({save_directory}) should be a directory'	)
               return
           _UpperCAmelCase							:						Optional[Any]       							=					os.path.join(
               A ,			(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']	)
           _UpperCAmelCase							:						List[str]       							=					os.path.join(
               A ,			(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']	)
  
           with open(A ,			'''w''' ,			encoding='''utf-8'''	) as f:
               f.write(json.dumps(self.encoder ,			indent=2 ,			sort_keys=A ,			ensure_ascii=A	) + '''\n'''	)
  
           _UpperCAmelCase							:						Tuple       							=					0
           with open(A ,			'''w''' ,			encoding='''utf-8'''	) as writer:
               for bpe_tokens, token_index in sorted(self.bpe_ranks.items() ,			key=lambda A	: 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!'''	)
                       _UpperCAmelCase							:						Any       							=					token_index
                   writer.write(''' '''.join(A	) + '''\n'''	)
                   index += 1
  
           return vocab_file, merge_file
  
  
  
  
  
       def __getstate__(      self	)							->      Tuple:
           _UpperCAmelCase							:						Optional[Any]       							=					self.__dict__.copy()
           _UpperCAmelCase							:						List[str]       							=					None
           return state
  
  
  
  
  
       def __setstate__(      self ,			A	)							->      List[Any]:
           _UpperCAmelCase							:						Union[str, Any]       							=					d
  
           try:
               import sacremoses
           except ImportError:
               raise ImportError(
                   '''You need to install sacremoses to use XLMTokenizer. '''
                   '''See https://pypi.org/project/sacremoses/ for installation.'''	)
  
           _UpperCAmelCase							:						Optional[int]       							=					sacremoses
  
  
  
style_context: 
  
  
  
  """simple docstring"""
  def 				lowerCamelCase_		(UpperCamelCase__	:	List[Any]  , UpperCamelCase__	:	int							):
      sequence.append(UpperCamelCase__							)
  
      _UpperCAmelCase							:						str       							=					0
      while sequence[index] != target:
          index += 1
  
      sequence.pop()
  
      if index == len(UpperCamelCase__							):
          return None
  
      return index
  
  
  if __name__ == "__main__":
    _lowerCAmelCase					:Dict  =      input('Enter numbers separated by comma:\n').strip()
    _lowerCAmelCase					:List[Any]  =      [int(item) for item in user_input.split(',')]
  
    _lowerCAmelCase					:int  =      input('Enter a single number to be found in the list:\n')
    _lowerCAmelCase					:List[Any]  =      int(target_input)
    _lowerCAmelCase					:Optional[int]  =      sentinel_linear_search(sequence, target)
    if result is not None:
      print(f"{target} found at positions: {result}")
    else:
      print('Not found')
  
  
  