code: def templateClusteringResults(
      path, radius, neighbors, expected_length_clusters, ccore, **kwargs
  ):
      random_order = kwargs.get("random_order", False)
  
      sample = read_sample(path)
      if random_order:
          shuffle(sample)
  
      dbscan_instance = dbscan(sample, radius, neighbors, ccore)
      dbscan_instance.process()
  
      clusters = dbscan_instance.get_clusters()
      noise = dbscan_instance.get_noise()
  
      assertion.eq(
          len(sample),
          sum([len(cluster) for cluster in clusters]) + len(noise),
      )
      assertion.eq(
          sum(expected_length_clusters),
          sum([len(cluster) for cluster in clusters]),
      )
      assertion.eq(
          expected_length_clusters,
          sorted([len(cluster) for cluster in clusters]),
      )
  
imports: import os
  import pickle
  import tempfile
  from random import random, shuffle
  from pyclustering.utils import read_sample, calculate_distance_matrix
  from pyclustering.cluster.dbscan import dbscan
  from pyclustering.tests.assertion import assertion
  from pyclustering.samples.definitions import SIMPLE_SAMPLES
  from pyclustering.samples import answer_reader
label_desc: Use image node_id 1 for calling the DbscanTestTemplates obj's underlying member method code with example usage: obj.templateClusteringResults(path, radius, neighbors, expected_length_clusters, ccore) without return types