code: def templateClusteringResultsSpecificData(
      data_type,
      path,
      radius,
      neighbors,
      amount_clusters,
      expected_length_clusters,
      ccore,
  ):
      sample = read_sample(path)
  
      if data_type == "distance_matrix":
          input_data = calculate_distance_matrix(sample)
      else:
          input_data = sample
  
      optics_instance = optics(
          input_data,
          radius,
          neighbors,
          amount_clusters,
          ccore,
          data_type=data_type,
      )
      optics_instance.process()
  
      clusters = optics_instance.get_clusters()
      noise = optics_instance.get_noise()
      optics_objects = optics_instance.get_optics_objects()
  
      object_indexes = set([obj.index_object for obj in optics_objects])
      assertion.eq(len(optics_objects), len(object_indexes))
      for obj in optics_objects:
          if obj.core_distance is not None:
              assertion.ge(obj.core_distance, 0)
  
          if obj.reachability_distance is not None:
              assertion.ge(obj.reachability_distance, 0)
  
      assert sum([len(cluster) for cluster in clusters]) + len(
          noise
      ) == len(sample)
      assert len(clusters) == len(expected_length_clusters)
      assert sum([len(cluster) for cluster in clusters]) == sum(
          expected_length_clusters
      )
      assert sorted([len(cluster) for cluster in clusters]) == sorted(
          expected_length_clusters
      )
  
      if amount_clusters is not None:
          analyser = ordering_analyser(optics_instance.get_ordering())
          assert len(analyser) > 0
  
          amount_clusters, borders = analyser.extract_cluster_amount(
              optics_instance.get_radius()
          )
          assert amount_clusters == len(expected_length_clusters)
          assert len(borders) == amount_clusters - 1
  
imports: from pyclustering.cluster.optics import optics, ordering_analyser
  from pyclustering.utils import read_sample, calculate_distance_matrix
  from pyclustering.tests.assertion import assertion
label_desc: Use image node_id 3 for calling the OpticsTestTemplates obj's underlying member method code with example usage: obj.templateClusteringResultsSpecificData(data_type, path, radius, neighbors, amount_clusters, expected_length_clusters, ccore) without return types