code: def rms(signal):
      """Computes root mean square of the signal.
  
      Square root of the arithmetic mean (average) of the squares of the original values.
  
      Feature computational cost: 1
  
      Parameters
      ----------
      signal : nd-array
          Input from which root mean square is computed
  
      Returns
      -------
      float
          Root mean square
  
      """
      return np.sqrt(np.sum(np.array(signal) ** 2) / len(signal))
  
imports: import scipy.signal
  from tsfel.feature_extraction.features_utils import *
label_desc: Use image node_id 28 for calling a global function with example usage: rms(signal) and returns: np