code: def assign_random_colors(data_vector):
      """Produces lookup table keyed by each class of data, with value as an RGB array
  
      Parameters
      ---------
      data_vector : list
          Vector of data classes to be categorized, passed from the data itself
  
      Returns
      -------
      collections.OrderedDict
          Dictionary of random RGBA value per class, keyed on class
      """
      deduped_classes = list(set(data_vector))
      classes = sorted([str(x) for x in deduped_classes])
      colors = []
      for _ in classes:
          colors.append(get_random_rgb())
      return OrderedDict([item for item in zip(classes, colors)])
  
label_desc: Use image node_id 2 for calling a global function with example usage: assign_random_colors(data_vector) and returns: OrderedDict