code: 
  
  
  
  
  '''simple docstring'''
  
  
  
  
  
  from __future__ import annotations
  
  from typing import Any
  def 						lowerCAmelCase_       (	*__a )       ->			str:
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  
  
  							if all(_check_not_integer(__a ) for m in matrix_s ):
  														for i in matrix_s[1:]:
  																					_verify_matrix_sizes(matrix_s[0]	,	__a )
  														return [[sum(__a ) for t in zip(*__a )] for m in zip(*__a )]
  							raise TypeError('''Expected a matrix, got int/list instead''' )
  def 						lowerCAmelCase_       (	__a	,	__a )       ->			Dict:
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  
  
  							if (
  							    _check_not_integer(__a )
  							    and _check_not_integer(__a )
  							    and _verify_matrix_sizes(__a	,	__a )
  							):
  														return [[i - j for i, j in zip(*__a )] for m in zip(__a	,	__a )]
  							raise TypeError('''Expected a matrix, got int/list instead''' )
  def 						lowerCAmelCase_       (	__a	,	__a )       ->			int:
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  
  
  							return [[x * n for x in row] for row in matrix]
  def 						lowerCAmelCase_       (	__a	,	__a )       ->			Dict:
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  
  
  							if _check_not_integer(__a ) and _check_not_integer(__a ):
  														SCREAMING_SNAKE_CASE			: Optional[Any]	     =_verify_matrix_sizes(__a	,	__a )
  
  							if cols[0] != rows[1]:
  														SCREAMING_SNAKE_CASE			: Dict	     =(
  														    "Cannot multiply matrix of dimensions "
  														    f'({rows[0]},{cols[0]}) and ({rows[1]},{cols[1]})'
  														)
  														raise ValueError(__a )
  							return [
  							    [sum(m * n for m, n in zip(__a	,	__a ) ) for j in zip(*__a )] for i in matrix_a
  							]
  def 						lowerCAmelCase_       (	__a )       ->			List[str]:
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  
  
  							SCREAMING_SNAKE_CASE			: List[Any]	     =int(__a )
  							return [[int(row == column ) for column in range(__a )] for row in range(__a )]
  def 						lowerCAmelCase_       (	__a	,	__a = True )       ->			List[Any]:
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  
  
  							if _check_not_integer(__a ):
  														if return_map:
  																					return map(__a	,	zip(*__a ) )
  														else:
  																					return list(map(__a	,	zip(*__a ) ) )
  							raise TypeError('''Expected a matrix, got int/list instead''' )
  def 						lowerCAmelCase_       (	__a	,	__a	,	__a )       ->			str:
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  
  
  							SCREAMING_SNAKE_CASE			: Optional[Any]	     =matrix[:row] + matrix[row + 1 :]
  							return [row[:column] + row[column + 1 :] for row in minor]
  def 						lowerCAmelCase_       (	__a )       ->			Dict:
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  
  
  							if len(__a ) == 1:
  														return matrix[0][0]
  
  							return sum(
  							    x * determinant(minor(__a	,	0	,	__a ) ) * (-1) ** i
  							    for i, x in enumerate(matrix[0] ) )
  def 						lowerCAmelCase_       (	__a )       ->			List[str]:
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  
  
  							SCREAMING_SNAKE_CASE			: Any	     =determinant(__a )
  							if det == 0:
  														return None
  
  							SCREAMING_SNAKE_CASE			: Any	     =[
  							    [determinant(minor(__a	,	__a	,	__a ) ) for j in range(len(__a ) )]
  							    for i in range(len(__a ) )
  							]
  
  							SCREAMING_SNAKE_CASE			: Optional[int]	     =[
  							    [x * (-1) ** (row + col) for col, x in enumerate(matrix_minor[row] )]
  							    for row in range(len(__a ) )
  							]
  							SCREAMING_SNAKE_CASE			: Union[str, Any]	     =list(transpose(__a ) )
  							return scalar_multiply(__a	,	1 / det )
  def 						lowerCAmelCase_       (	__a )       ->			Tuple:
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  
  
  							return not isinstance(__a	,	__a ) and not isinstance(matrix[0]	,	__a )
  def 						lowerCAmelCase_       (	__a )       ->			Union[str, Any]:
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  
  
  							return len(__a ), len(matrix[0] )
  def 						lowerCAmelCase_       (	__a	,	__a )       ->			Dict:
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  
  
  							SCREAMING_SNAKE_CASE			: str	     =_shape(__a ) + _shape(__a )
  							if shape[0] != shape[3] or shape[1] != shape[2]:
  														SCREAMING_SNAKE_CASE			: str	     =(
  														    "operands could not be broadcast together with shape "
  														    f'({shape[0], shape[1]}), ({shape[2], shape[3]})'
  														)
  														raise ValueError(__a )
  							return (shape[0], shape[2]), (shape[1], shape[3])
  def 						lowerCAmelCase_       (	)       ->			str:
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  
  
  							SCREAMING_SNAKE_CASE			: Optional[int]	     =[[12, 10], [3, 9]]
  							SCREAMING_SNAKE_CASE			: List[str]	     =[[3, 4], [7, 4]]
  							SCREAMING_SNAKE_CASE			: int	     =[[11, 12, 13, 14], [21, 22, 23, 24], [31, 32, 33, 34], [41, 42, 43, 44]]
  							SCREAMING_SNAKE_CASE			: Union[str, Any]	     =[[3, 0, 2], [2, 0, -2], [0, 1, 1]]
  							print(f'Add Operation, {add(__a	,	__a ) = } \n' )
  							print(
  							    f'Multiply Operation, {multiply(__a	,	__a ) = } \n'	,	)
  							print(f'Identity: {identity(5 )}\n' )
  							print(f'Minor of {matrix_c} = {minor(__a	,	1	,	2 )} \n' )
  							print(f'Determinant of {matrix_b} = {determinant(__a )} \n' )
  							print(f'Inverse of {matrix_d} = {inverse(__a )}\n' )
  
  
  if __name__ == "__main__":
  							import doctest
  
  							doctest.testmod()
  							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
  
  
  
  
  
  
  