code: def testIndexToObjectTwoDimension(self):
      representor = self.getIndexRepresentorTwoDimensionData()
      representor.set_encoding(
          type_encoding.CLUSTER_OBJECT_LIST_SEPARATION
      )
  
      assert 2 == len(representor.get_clusters())
      assert [
          [[5.1, 5.2], [5.2, 5.1], [5.4, 5.2], [5.1, 5.0]],
          [[8.1, 8.0], [8.4, 8.2], [8.3, 8.4], [8.5, 8.5]],
      ] == representor.get_clusters()
  
imports: import unittest
  import math
  import matplotlib
  from pyclustering.cluster.encoder import cluster_encoder
  from pyclustering.cluster.encoder import type_encoding
label_desc: Use image node_id 17 for calling the Test obj's underlying member method code with example usage: obj.testIndexToObjectTwoDimension() without return types