code: def templateLengthProcessSpecificData(
      data_type,
      path_to_file,
      radius,
      min_number_neighbors,
      max_number_neighbors,
      ccore,
  ):
      for _ in range(min_number_neighbors, max_number_neighbors, 1):
          sample = read_sample(path_to_file)
  
          if data_type == "distance_matrix":
              input_data = calculate_distance_matrix(sample)
          elif data_type == "points":
              input_data = sample
          else:
              raise ValueError(
                  "Incorrect data type '%s' is specified" % data_type
              )
  
          dbscan_instance = dbscan(
              input_data,
              radius,
              min_number_neighbors,
              ccore,
              data_type=data_type,
          )
          dbscan_instance.process()
  
          clusters = dbscan_instance.get_clusters()
          noise = dbscan_instance.get_noise()
  
          length = len(noise)
          length += sum([len(cluster) for cluster in clusters])
  
          assertion.eq(len(sample), length)
  
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 6 for calling the DbscanTestTemplates obj's underlying member method code with example usage: obj.templateLengthProcessSpecificData(data_type, path_to_file, radius, min_number_neighbors, max_number_neighbors, ccore) without return types