code: def get_filtered(
      image, cutoffs, squared_butterworth=True, order=3.0, npad=0
  ):
      """Lowpass and highpass butterworth filtering at all specified cutoffs.
  
      Parameters
      ----------
      image : ndarray
          The image to be filtered.
      cutoffs : sequence of int
          Both lowpass and highpass filtering will be performed for each cutoff
          frequency in `cutoffs`.
      squared_butterworth : bool, optional
          Whether the traditional Butterworth filter or its square is used.
      order : float, optional
          The order of the Butterworth filter
  
      Returns
      -------
      lowpass_filtered : list of ndarray
          List of images lowpass filtered at the frequencies in `cutoffs`.
      highpass_filtered : list of ndarray
          List of images highpass filtered at the frequencies in `cutoffs`.
      """
  
      lowpass_filtered = []
      highpass_filtered = []
      for cutoff in cutoffs:
          lowpass_filtered.append(
              filters.butterworth(
                  image,
                  cutoff_frequency_ratio=cutoff,
                  order=order,
                  high_pass=False,
                  squared_butterworth=squared_butterworth,
                  npad=npad,
              )
          )
          highpass_filtered.append(
              filters.butterworth(
                  image,
                  cutoff_frequency_ratio=cutoff,
                  order=order,
                  high_pass=True,
                  squared_butterworth=squared_butterworth,
                  npad=npad,
              )
          )
      return lowpass_filtered, highpass_filtered
  
label_desc: Use image node_id 1 for calling a global function with example usage: get_filtered(image, cutoffs, squared_butterworth, order, npad) and returns: lowpass_filtered,  highpass_filtered