code: def find_audio_period(
      clip, min_time=0.1, max_time=2, time_resolution=0.01
  ):
      """Finds the period, in seconds of an audioclip.
  
      Parameters
      ----------
  
      min_time : float, optional
        Minimum bound for the returned value.
  
      max_time : float, optional
        Maximum bound for the returned value.
  
      time_resolution : float, optional
        Numerical precision.
      """
      chunksize = int(time_resolution * clip.fps)
      chunk_duration = 1.0 * chunksize / clip.fps
      # v denotes the list of volumes
      v = np.array(
          [(chunk**2).sum() for chunk in clip.iter_chunks(chunksize)]
      )
      v = v - v.mean()
      corrs = np.correlate(v, v, mode="full")[-len(v) :]
      corrs[: int(min_time / chunk_duration)] = 0
      corrs[int(max_time / chunk_duration) :] = 0
      return chunk_duration * np.argmax(corrs)
  
label_desc: Use image node_id 1 for calling a global function with example usage: find_audio_period(clip, min_time, max_time, time_resolution) and returns: unknown