code: 
  
  
  
  '''simple docstring'''
  
  
  
  import numpy as np
  
  
  
  
  
  
  
  def _lowercase   (  __A							,__A       ):
  
  
  
   '''simple docstring'''
  
  
  
   __UpperCamelCase				      =  np.array(__A       )
   __UpperCamelCase				      =  np.array(__A       )
  
   __UpperCamelCase				      =  abs(predict - actual       )
   __UpperCamelCase				      =  difference.mean()
  
   return score
  
  
  
  
  
  
  
  def _lowercase   (  __A							,__A       ):
  
  
  
   '''simple docstring'''
  
  
  
   __UpperCamelCase				      =  np.array(__A       )
   __UpperCamelCase				      =  np.array(__A       )
  
   __UpperCamelCase				      =  predict - actual
   __UpperCamelCase				      =  np.square(__A       )
  
   __UpperCamelCase				      =  square_diff.mean()
   return score
  
  
  
  
  
  
  
  def _lowercase   (  __A							,__A       ):
  
  
  
   '''simple docstring'''
  
  
  
   __UpperCamelCase				      =  np.array(__A       )
   __UpperCamelCase				      =  np.array(__A       )
  
   __UpperCamelCase				      =  predict - actual
   __UpperCamelCase				      =  np.square(__A       )
   __UpperCamelCase				      =  square_diff.mean()
   __UpperCamelCase				      =  np.sqrt(__A       )
   return score
  
  
  
  
  
  
  
  def _lowercase   (  __A							,__A       ):
  
  
  
   '''simple docstring'''
  
  
  
   __UpperCamelCase				      =  np.array(__A       )
   __UpperCamelCase				      =  np.array(__A       )
  
   __UpperCamelCase				      =  np.log(predict + 1       )
   __UpperCamelCase				      =  np.log(actual + 1       )
  
   __UpperCamelCase				      =  log_predict - log_actual
   __UpperCamelCase				      =  np.square(__A       )
   __UpperCamelCase				      =  square_diff.mean()
  
   __UpperCamelCase				      =  np.sqrt(__A       )
  
   return score
  
  
  
  
  
  
  
  def _lowercase   (  __A							,__A       ):
  
  
  
   '''simple docstring'''
  
  
  
   __UpperCamelCase				      =  np.array(__A       )
   __UpperCamelCase				      =  np.array(__A       )
  
   __UpperCamelCase				      =  predict - actual
   __UpperCamelCase				      =  np.sum(__A       ) / len(__A       )
   __UpperCamelCase				      =  np.sum(__A       ) / len(__A       )
   # print(numerator, denumerator)
   __UpperCamelCase				      =  float(__A       ) / denumerator * 100
  
   return score
  
  
  
  
  
  
  
  def _lowercase   (  __A							,__A       ):
  
  
  
   '''simple docstring'''
  
  
  
   return np.mean(np.array(__A       ) == np.array(__A       )       )
  
  
  
  
  
  
style_context: 
  
  
  
  '''simple docstring'''
  
  
  
  from .stack import Stack
  
  
  
  
  
  
  
  def _lowercase   (  __A       ):
  
  
  
   '''simple docstring'''
  
  
  
   __UpperCamelCase				      =  Stack()
   __UpperCamelCase				      =  {"""(""": """)""", """[""": """]""", """{""": """}"""}
   for bracket in parentheses:
    if bracket in bracket_pairs:
     stack.push(__A       )
    elif bracket in (")", "]", "}"):
     if stack.is_empty() or bracket_pairs[stack.pop()] != bracket:
      return False
   return stack.is_empty()
  
  
  if __name__ == "__main__":
   from doctest import testmod
  
   testmod()
  
   a__						:			List[Any]										=			['((()))', '((())', '(()))']
   print('Balanced parentheses demonstration:\n')
   for example in examples:
    a__						:			int										=			'' if balanced_parentheses(example) else 'not '
    print(f'''{example} is {not_str}balanced''')
  
  
  
  
  
  