code: def experiment_execution_time(show_dyn=False, ccore=False):
      template_clustering(
          SIMPLE_SAMPLES.SAMPLE_SIMPLE1, 2, 0.999, show_dyn, ccore
      )
      template_clustering(
          SIMPLE_SAMPLES.SAMPLE_SIMPLE2, 3, 0.999, show_dyn, ccore
      )
      template_clustering(
          SIMPLE_SAMPLES.SAMPLE_SIMPLE3, 4, 0.999, show_dyn, ccore
      )
      template_clustering(
          SIMPLE_SAMPLES.SAMPLE_SIMPLE4, 5, 0.999, show_dyn, ccore
      )
      template_clustering(
          SIMPLE_SAMPLES.SAMPLE_SIMPLE5, 4, 0.999, show_dyn, ccore
      )
      template_clustering(
          SIMPLE_SAMPLES.SAMPLE_ELONGATE, 2, 0.999, show_dyn, ccore
      )
  
      template_clustering(
          FCPS_SAMPLES.SAMPLE_LSUN, 3, 0.98, show_dyn, ccore
      )
      template_clustering(
          FCPS_SAMPLES.SAMPLE_TARGET, 6, 0.98, show_dyn, ccore
      )
      template_clustering(
          FCPS_SAMPLES.SAMPLE_TWO_DIAMONDS, 2, 0.98, show_dyn, ccore
      )
      template_clustering(
          FCPS_SAMPLES.SAMPLE_WING_NUT, 2, 0.98, show_dyn, ccore
      )
      template_clustering(
          FCPS_SAMPLES.SAMPLE_CHAINLINK, 2, 0.98, show_dyn, ccore
      )
      template_clustering(
          FCPS_SAMPLES.SAMPLE_HEPTA, 7, 0.98, show_dyn, ccore
      )
      template_clustering(
          FCPS_SAMPLES.SAMPLE_TETRA, 4, 0.98, show_dyn, ccore
      )
      template_clustering(
          FCPS_SAMPLES.SAMPLE_ATOM, 2, 0.98, show_dyn, ccore
      )
  
file_path: pyclustering/pyclustering/cluster/examples/hsyncnet_examples.py
imports: from pyclustering.utils import read_sample, draw_clusters, timedcall
  from pyclustering.samples.definitions import SIMPLE_SAMPLES, FCPS_SAMPLES
  from pyclustering.cluster.hsyncnet import hsyncnet
  from pyclustering.nnet.sync import sync_visualizer
  from pyclustering.nnet import initial_type, solve_type
label_desc: Use image node_id 15 for calling a global function with example usage: experiment_execution_time(show_dyn, ccore) without return types