code: def templateClusteringDistanceMatrix(
      path_to_file, radius, neighbors, expected_length_clusters, ccore
  ):
      sample = read_sample(path_to_file)
      distance_matrix = calculate_distance_matrix(sample)
  
      dbscan_instance = dbscan(
          distance_matrix,
          radius,
          neighbors,
          ccore,
          data_type="distance_matrix",
      )
      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 10 for calling the DbscanTestTemplates obj's underlying member method code with example usage: obj.templateClusteringDistanceMatrix(path_to_file, radius, neighbors, expected_length_clusters, ccore) without return types