code: def get_clusterable_algorithm(
      self, weight_name
  ):  # pylint: disable=unused-argument
      """Returns class with the clustering algorithm for the given weight_name.
  
      This function needs to be implemented for the customerable layers.
      If the layer is derived from the built-in keras layer, the clustering
      algorithm for the base built-in keras layer is used.
  
      The returned class should be derived from ClusteringAlgorithm and
      implements the function get_pulling_indices.
      This function is used to provide a special lookup function for the custom
      weights.
      It reshapes and tile centroids the same way as the weights. This allows us
      to find pulling indices efficiently.
  
      Args:
          weight_name ([string]): The name of the weight variable.
      """
      return None
  
imports: import abc
  import six
label_desc: Use image node_id 2 for calling the ClusterableLayer obj's underlying member method code with example usage: obj.get_clusterable_algorithm(weight_name) and returns: None