code: def experiment_execution_time(ccore):
      template_clustering(
          FCPS_SAMPLES.SAMPLE_LSUN, 1.0, 3, 3, False, ccore
      )
      template_clustering(
          FCPS_SAMPLES.SAMPLE_TARGET, 10.0, 2, 6, False, ccore
      )
      template_clustering(
          FCPS_SAMPLES.SAMPLE_TWO_DIAMONDS, 1.0, 7, 2, False, ccore
      )
      template_clustering(
          FCPS_SAMPLES.SAMPLE_CHAINLINK, 2.0, 3, 2, False, ccore
      )
      template_clustering(
          FCPS_SAMPLES.SAMPLE_WING_NUT, 1.0, 2, 2, False, ccore
      )
      template_clustering(
          FCPS_SAMPLES.SAMPLE_HEPTA, 1, 3, None, False, ccore
      )
      template_clustering(
          FCPS_SAMPLES.SAMPLE_TETRA, 1.0, 3, 4, False, ccore
      )
      template_clustering(
          FCPS_SAMPLES.SAMPLE_ATOM, 30, 3, 2, False, ccore
      )
  
imports: import random
  from pyclustering.cluster import cluster_visualizer
  from pyclustering.cluster.optics import optics, ordering_analyser, ordering_visualizer
  from pyclustering.utils import read_sample, timedcall
  from pyclustering.samples.definitions import SIMPLE_SAMPLES, FCPS_SAMPLES
label_desc: Use image node_id 23 for calling a global function with example usage: experiment_execution_time(ccore) without return types