code: def get_signals_matrix(
      time_start, time_stop, signal_fun1, signal_fun2
  ):
      time = np.linspace(time_start, time_stop, NUM_SAMPLES)
  
      S = np.c_[signal_fun1(time), signal_fun2(time)]
      S += 0.2 * np.random.normal(size=S.shape)  # add a noise
  
      # Standardize the data
      S /= S.std(axis=0)
      return S.T
  
label_desc: Use image node_id 1 for calling a global function with example usage: get_signals_matrix(time_start, time_stop, signal_fun1, signal_fun2) and returns: S