code: def rms(x):
      Root Mean Square"
  
      Arguments:
          x (seq of float): A sequence of numerical values
  
      Returns:
          The square root of the average of the squares of the values
  
          math.sqrt(sum(x_i**2 for x_i in x) / len(x))
  
          or
  
          return (np.array(x) ** 2).mean() ** 0.5
  
      >>> rms([0, 2, 4, 4])
      3.0
      """
      try:
          return (np.array(x) ** 2).mean() ** 0.5
      except:
          x = np.array(dropna(x))
          invN = 1.0 / len(x)
          return (sum(invN * (x_i ** 2) for x_i in x)) ** .5
docs: Root Mean Square"
  
      Arguments:
          x (seq of float): A sequence of numerical values
  
      Returns:
          The square root of the average of the squares of the values
  
          math.sqrt(sum(x_i**2 for x_i in x) / len(x))
  
          or
  
          return (np.array(x) ** 2).mean() ** 0.5
  
      >>> rms([0, 2, 4, 4])
      3.0