code: 
  
  
  
  
  '''simple docstring'''
  
  
  
  
  
  def 						lowerCAmelCase_       (	__a = 998001 )       ->			int:
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  
  
  							SCREAMING_SNAKE_CASE			: Optional[int]	     =0
  							for i in range(999	,	99	,	-1 ):  # 3 digit numbers range from 999 down to 100
  														for j in range(999	,	99	,	-1 ):
  																					SCREAMING_SNAKE_CASE			: Optional[int]	     =str(i * j )
  																					if product_string == product_string[::-1] and i * j < n:
  																												SCREAMING_SNAKE_CASE			: Union[str, Any]	     =max(__a	,	i * j )
  							return answer
  
  
  if __name__ == "__main__":
  							print(F'''{solution() = }''')
  
  
  
  
  
  
  
style_context: 
  
  
  
  
  import os
  from shutil import copyfile
  from typing import List, Optional, Tuple
  
  from ...tokenization_utils_fast import AddedToken, PreTrainedTokenizerFast
  from ...utils import logging
  
  
  _A							    =	logging.get_logger(__name__)
  
  _A							    =	{"""vocab_file""": """spiece.model""", """tokenizer_file""": """tokenizer.json"""}
  
  _A							    =	{
      """vocab_file""": {
          """TsinghuaAI/CPM-Generate""": """https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/spiece.model""",
      },
      """tokenizer_file""": {
          """TsinghuaAI/CPM-Generate""": """https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/tokenizer.json""",
      },
  }
  
  
  class 							_lowerCAmelCase		(     UpperCamelCase__	):
  
  
  
  
  				def __init__( self		,		snake_case_=None		,		snake_case_=None		,		snake_case_=False		,		snake_case_=True		,		snake_case_=False		,		snake_case_="<s>"		,		snake_case_="</s>"		,		snake_case_="<unk>"		,		snake_case_="<sep>"		,		snake_case_="<pad>"		,		snake_case_="<cls>"		,		snake_case_="<mask>"		,		snake_case_=["<eop>", "<eod>"]		,		**snake_case_		,		)    ->      str:
  											SCREAMING_SNAKE_CASE			: Optional[int]	     =AddedToken(snake_case_		,		lstrip=snake_case_		,		rstrip=snake_case_							) if isinstance(snake_case_		,		snake_case_							) else mask_token
  
  											super().__init__(
  											    vocab_file=snake_case_		,		tokenizer_file=snake_case_		,		do_lower_case=snake_case_		,		remove_space=snake_case_		,		keep_accents=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_		,		additional_special_tokens=snake_case_		,		**snake_case_		,		)
  
  											SCREAMING_SNAKE_CASE			: Dict	     =3
  											SCREAMING_SNAKE_CASE			: Dict	     =do_lower_case
  											SCREAMING_SNAKE_CASE			: int	     =remove_space
  											SCREAMING_SNAKE_CASE			: Optional[Any]	     =keep_accents
  											SCREAMING_SNAKE_CASE			: Tuple	     =vocab_file
  											SCREAMING_SNAKE_CASE			: Optional[Any]	     =False if not self.vocab_file else True
  
  											try:
  																		import jieba
  											except ModuleNotFoundError as error:
  																		raise error.__class__(
  																		    '''You need to install jieba to use CpmTokenizer or CpmTokenizerFast. '''
  																		    '''See https://pypi.org/project/jieba/ for installation.'''							)
  											SCREAMING_SNAKE_CASE			: str	     =jieba
  											SCREAMING_SNAKE_CASE			: Dict	     =str.maketrans(''' \n'''		,		'''\u2582\u2583'''							)
  
  
  
  
  				def     __a		( self		,		snake_case_		,		snake_case_ = None							)    ->      List[int]:
  											SCREAMING_SNAKE_CASE			: Dict	     =[self.sep_token_id]
  											SCREAMING_SNAKE_CASE			: Any	     =[self.cls_token_id]
  											if token_ids_a is None:
  																		return token_ids_a + sep + cls
  											return token_ids_a + sep + token_ids_a + sep + cls
  
  
  
  
  				def     __a		( self		,		snake_case_		,		snake_case_ = None							)    ->      List[int]:
  											SCREAMING_SNAKE_CASE			: Union[str, Any]	     =[self.sep_token_id]
  											SCREAMING_SNAKE_CASE			: Union[str, Any]	     =[2]
  
  											if token_ids_a is None:
  																		return len(token_ids_a + sep							) * [0] + cls_segment_id
  											return len(token_ids_a + sep							) * [0] + len(token_ids_a + sep							) * [1] + cls_segment_id
  
  
  
  
  				def     __a		( self		,		snake_case_		,		snake_case_ = 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(snake_case_							):
  																		logger.error(F'Vocabulary path ({save_directory}) should be a directory'							)
  																		return
  											SCREAMING_SNAKE_CASE			: Union[str, 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     __a		( self		,		snake_case_		,		*snake_case_		,		**snake_case_							)    ->      Optional[Any]:
  											SCREAMING_SNAKE_CASE			: int	     =[
  											    ''' '''.join([x.translate(self.translator							) for x in self.jieba.cut(snake_case_		,		cut_all=snake_case_							)]							)
  											    for text in batch_text_or_text_pairs
  											]
  											return super()._batch_encode_plus(snake_case_		,		*snake_case_		,		**snake_case_							)
  
  
  
  
  
  
  
  				def     __a		( self		,		*snake_case_		,		**snake_case_							)    ->      str:
  											SCREAMING_SNAKE_CASE			: List[Any]	     =super()._decode(*snake_case_		,		**snake_case_							)
  											SCREAMING_SNAKE_CASE			: List[Any]	     =text.replace(''' '''		,		''''''							).replace('''\u2582'''		,		''' '''							).replace('''\u2583'''		,		'''\n'''							)
  											return text
  
  
  
  
  
  
  