code: def interq_range(signal):
      """Computes interquartile range of the signal.
  
      Feature computational cost: 1
  
      Parameters
      ----------
      signal : nd-array
          Input from which interquartile range is computed
  
      Returns
      -------
      float
          Interquartile range result
  
      """
      return np.percentile(signal, 75) - np.percentile(signal, 25)
  
imports: import scipy.signal
  from tsfel.feature_extraction.features_utils import *
label_desc: Use image node_id 19 for calling a global function with example usage: interq_range(signal) and returns: unknown