




'''simple docstring'''
import numpy as np





def  lowerCamelCase(       SCREAMING_SNAKE_CASE_					,SCREAMING_SNAKE_CASE_    )		->		Tuple:
   A_       		=   np.array(SCREAMING_SNAKE_CASE_    )
   A_       		=   np.array(SCREAMING_SNAKE_CASE_    )

   A_       		=   abs(predict - actual    )
   A_       		=   difference.mean()

   return score





def  lowerCamelCase(       SCREAMING_SNAKE_CASE_					,SCREAMING_SNAKE_CASE_    )		->		Union[str, Any]:
   A_       		=   np.array(SCREAMING_SNAKE_CASE_    )
   A_       		=   np.array(SCREAMING_SNAKE_CASE_    )

   A_       		=   predict - actual
   A_       		=   np.square(SCREAMING_SNAKE_CASE_    )

   A_       		=   square_diff.mean()
   return score





def  lowerCamelCase(       SCREAMING_SNAKE_CASE_					,SCREAMING_SNAKE_CASE_    )		->		Any:
   A_       		=   np.array(SCREAMING_SNAKE_CASE_    )
   A_       		=   np.array(SCREAMING_SNAKE_CASE_    )

   A_       		=   predict - actual
   A_       		=   np.square(SCREAMING_SNAKE_CASE_    )
   A_       		=   square_diff.mean()
   A_       		=   np.sqrt(SCREAMING_SNAKE_CASE_    )
   return score





def  lowerCamelCase(       SCREAMING_SNAKE_CASE_					,SCREAMING_SNAKE_CASE_    )		->		Union[str, Any]:
   A_       		=   np.array(SCREAMING_SNAKE_CASE_    )
   A_       		=   np.array(SCREAMING_SNAKE_CASE_    )

   A_       		=   np.log(predict + 1    )
   A_       		=   np.log(actual + 1    )

   A_       		=   log_predict - log_actual
   A_       		=   np.square(SCREAMING_SNAKE_CASE_    )
   A_       		=   square_diff.mean()

   A_       		=   np.sqrt(SCREAMING_SNAKE_CASE_    )

   return score





def  lowerCamelCase(       SCREAMING_SNAKE_CASE_					,SCREAMING_SNAKE_CASE_    )		->		Dict:
   A_       		=   np.array(SCREAMING_SNAKE_CASE_    )
   A_       		=   np.array(SCREAMING_SNAKE_CASE_    )

   A_       		=   predict - actual
   A_       		=   np.sum(SCREAMING_SNAKE_CASE_    ) / len(SCREAMING_SNAKE_CASE_    )
   A_       		=   np.sum(SCREAMING_SNAKE_CASE_    ) / len(SCREAMING_SNAKE_CASE_    )
   # print(numerator, denumerator)
   A_       		=   float(SCREAMING_SNAKE_CASE_    ) / denumerator * 100

   return score






def  lowerCamelCase(       SCREAMING_SNAKE_CASE_					,SCREAMING_SNAKE_CASE_    )		->		int:
   return np.mean(np.array(SCREAMING_SNAKE_CASE_    ) == np.array(SCREAMING_SNAKE_CASE_    )    )










'''simple docstring'''
def  lowerCamelCase(       SCREAMING_SNAKE_CASE_    )		->		int:

			if not isinstance(SCREAMING_SNAKE_CASE_					,SCREAMING_SNAKE_CASE_    ) or number < 0:
						raise ValueError('Input must be a non-negative integer'    )

			A_       		=   number & ~(number - 1)
			A_       		=   0
			while intermediate:
						intermediate >>= 1
						index += 1
			return index - 1


if __name__ == "__main__":
							import doctest

							doctest.testmod(verbose=True)




