code: 
  
  
  
  
  '''simple docstring'''
  
  
  
  
  
  import timeit
  
  
  class 							_lowerCAmelCase		:
  
  
  
  
  				def __init__( self		,		snake_case_							)    ->      str:
  
  
  
  
  
  
  
  											if isinstance(snake_case_		,		snake_case_							):  # Initializes a matrix identical to the one provided.
  																		SCREAMING_SNAKE_CASE			: str	     =arg
  																		SCREAMING_SNAKE_CASE			: Tuple	     =len(snake_case_							)
  											else:  # Initializes a square matrix of the given size and set values to zero.
  																		SCREAMING_SNAKE_CASE			: Any	     =arg
  																		SCREAMING_SNAKE_CASE			: Any	     =[[0 for _ in range(self.n							)] for _ in range(self.n							)]
  
  
  
  
  
  
  
  				def __mul__( self		,		snake_case_							)    ->      List[Any]:
  											SCREAMING_SNAKE_CASE			: Optional[Any]	     =Matrix(self.n							)
  											for i in range(self.n							):
  																		for j in range(self.n							):
  																									for k in range(self.n							):
  																																matrix.t[i][j] += self.t[i][k] * b.t[k][j]
  											return matrix
  
  
  
  
  
  
  
  def 						lowerCAmelCase_       (	__a	,	__a )       ->			List[str]:
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  
  
  							SCREAMING_SNAKE_CASE			: Union[str, Any]	     =Matrix([[1, 0], [0, 1]] )
  							while b > 0:
  														if b & 1:
  																					matrix *= a
  														a *= a
  														b >>= 1
  							return matrix
  def 						lowerCAmelCase_       (	__a	,	__a	,	__a )       ->			int:
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  
  
  							if n == 1:
  														return fa
  							elif n == 2:
  														return fa
  							SCREAMING_SNAKE_CASE			: int	     =Matrix([[1, 1], [1, 0]] )
  							SCREAMING_SNAKE_CASE			: int	     =modular_exponentiation(lowercase__	,	n - 2 )
  							return fa * matrix.t[0][0] + fa * matrix.t[0][1]
  def 						lowerCAmelCase_       (	__a	,	__a	,	__a )       ->			Optional[Any]:
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  
  
  							if n == 1:
  														return fa
  							elif n == 2:
  														return fa
  
  							SCREAMING_SNAKE_CASE			: str	     =fa
  							SCREAMING_SNAKE_CASE			: Dict	     =fa
  							n -= 2
  
  							while n > 0:
  														SCREAMING_SNAKE_CASE			: Tuple	     =fn_a + fn_a, fn_a
  														n -= 1
  
  							return fn_a
  def 						lowerCAmelCase_       (	)       ->			List[str]:
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  
  
  							SCREAMING_SNAKE_CASE			: List[str]	     ="\nfrom random import randint\nfrom __main__ import fibonacci_with_matrix_exponentiation\n"
  							SCREAMING_SNAKE_CASE			: Union[str, Any]	     ="fibonacci_with_matrix_exponentiation(randint(1,70000), 1, 1)"
  							SCREAMING_SNAKE_CASE			: Optional[int]	     =timeit.timeit(setup=lowercase__	,	stmt=lowercase__	,	number=100 )
  							print('''With matrix exponentiation the average execution time is '''	,	exec_time / 100 )
  							return exec_time
  def 						lowerCAmelCase_       (	)       ->			List[Any]:
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  
  
  							SCREAMING_SNAKE_CASE			: Union[str, Any]	     ="\nfrom random import randint\nfrom __main__ import simple_fibonacci\n"
  							SCREAMING_SNAKE_CASE			: int	     ="simple_fibonacci(randint(1,70000), 1, 1)"
  							SCREAMING_SNAKE_CASE			: Union[str, Any]	     =timeit.timeit(setup=lowercase__	,	stmt=lowercase__	,	number=100 )
  							print(
  							    '''Without matrix exponentiation the average execution time is '''	,	exec_time / 100 )
  							return exec_time
  def 						lowerCAmelCase_       (	)       ->			Optional[int]:
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  
  
  							matrix_exponentiation_time()
  							simple_fibonacci_time()
  
  
  if __name__ == "__main__":
  							main()
  
  
  
  
  
  
  
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
  
  
  
  
  
  
  