code: def autocorr(signal):
      """Computes autocorrelation of the signal.
  
      Feature computational cost: 1
  
      Parameters
      ----------
      signal : nd-array
          Input from which autocorrelation is computed
  
      Returns
      -------
      float
          Cross correlation of 1-dimensional sequence
  
      """
      signal = np.array(signal)
      return float(np.correlate(signal, signal))
  
imports: import scipy.signal
  from tsfel.feature_extraction.features_utils import *
label_desc: Use image node_id 1 for calling a global function with example usage: autocorr(signal) and returns: float