code: def median_abs_deviation(signal):
      """Computes median absolute deviation of the signal.
  
      Feature computational cost: 1
  
      Parameters
      ----------
      signal : nd-array
          Input from which median absolute deviation is computed
  
      Returns
      -------
      float
          Mean absolute deviation result
  
      """
      return scipy.stats.median_abs_deviation(signal, scale=1)
  
imports: import scipy.signal
  from tsfel.feature_extraction.features_utils import *
label_desc: Use image node_id 27 for calling a global function with example usage: median_abs_deviation(signal) and returns: scipy