code: def goodExpoMeasure(inRGB, sigma):
      """
      Compute the good exposition image quality measure on 1 input image.
      """
      R = inRGB[0, :, :].astype(numpy.float64)
      G = inRGB[1, :, :].astype(numpy.float64)
      B = inRGB[2, :, :].astype(numpy.float64)
      goodExpoR = numpy.exp(-((R - 128) ** 2) / sigma)
      goodExpoG = numpy.exp(-((G - 128) ** 2) / sigma)
      goodExpoB = numpy.exp(-((B - 128) ** 2) / sigma)
      goodExpo = goodExpoR * goodExpoG * goodExpoB
      goodExpo = (numpy.round(goodExpo, 2) * (2**8 - 1)).astype(
          numpy.uint8
      )
  
      return goodExpo
  
label_desc: Use image node_id 1 for calling a global function with example usage: goodExpoMeasure(inRGB, sigma) and returns: goodExpo