code: def templateClusterAllocationOneDimensionDataSpecificData(
      data_type, ccore_flag
  ):
      for _ in range(50):
          sample = (
              [[random()] for _ in range(10)]
              + [[random() + 3] for _ in range(10)]
              + [[random() + 6] for _ in range(10)]
              + [[random() + 9] for _ in range(10)]
          )
  
          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, 1.0, 2, ccore_flag, data_type=data_type
          )
          dbscan_instance.process()
  
          clusters = dbscan_instance.get_clusters()
  
          assertion.eq(4, len(clusters))
          for cluster in clusters:
              assertion.eq(10, len(cluster))
  
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 9 for calling the DbscanTestTemplates obj's underlying member method code with example usage: obj.templateClusterAllocationOneDimensionDataSpecificData(data_type, ccore_flag) without return types