code: def experiment_execution_time(show_dyn=False, ccore=False):
      template_clustering(
          SIMPLE_SAMPLES.SAMPLE_SIMPLE1,
          1,
          0.999,
          show_dyn,
          False,
          True,
          False,
          ccore,
      )
      template_clustering(
          SIMPLE_SAMPLES.SAMPLE_SIMPLE2,
          1,
          0.999,
          show_dyn,
          False,
          True,
          False,
          ccore,
      )
      template_clustering(
          SIMPLE_SAMPLES.SAMPLE_SIMPLE3,
          1,
          0.999,
          show_dyn,
          False,
          True,
          False,
          ccore,
      )
      template_clustering(
          SIMPLE_SAMPLES.SAMPLE_SIMPLE4,
          1,
          0.999,
          show_dyn,
          False,
          True,
          False,
          ccore,
      )
      template_clustering(
          SIMPLE_SAMPLES.SAMPLE_SIMPLE5,
          1,
          0.999,
          show_dyn,
          False,
          True,
          False,
          ccore,
      )
      template_clustering(
          SIMPLE_SAMPLES.SAMPLE_ELONGATE,
          0.5,
          0.999,
          show_dyn,
          False,
          True,
          False,
          ccore,
      )
  
      template_clustering(
          FCPS_SAMPLES.SAMPLE_LSUN,
          0.45,
          0.98,
          show_dyn,
          False,
          False,
          True,
          ccore,
      )
      template_clustering(
          FCPS_SAMPLES.SAMPLE_TARGET,
          0.4,
          0.98,
          show_dyn,
          False,
          False,
          True,
          ccore,
      )
      template_clustering(
          FCPS_SAMPLES.SAMPLE_TWO_DIAMONDS,
          0.3,
          0.98,
          show_dyn,
          False,
          True,
          False,
          ccore,
      )
      template_clustering(
          FCPS_SAMPLES.SAMPLE_WING_NUT,
          0.28,
          0.98,
          show_dyn,
          False,
          True,
          False,
          ccore,
      )
      template_clustering(
          FCPS_SAMPLES.SAMPLE_CHAINLINK,
          0.8,
          0.98,
          show_dyn,
          False,
          True,
          False,
          ccore,
      )
      template_clustering(
          FCPS_SAMPLES.SAMPLE_HEPTA,
          1,
          0.98,
          show_dyn,
          False,
          True,
          False,
          ccore,
      )
      template_clustering(
          FCPS_SAMPLES.SAMPLE_TETRA,
          0.3,
          0.98,
          show_dyn,
          False,
          True,
          False,
          ccore,
      )
      template_clustering(
          FCPS_SAMPLES.SAMPLE_ATOM,
          25,
          0.98,
          show_dyn,
          False,
          True,
          False,
          ccore,
      )
  
imports: from pyclustering.cluster import cluster_visualizer
  from pyclustering.cluster.syncnet import syncnet, syncnet_visualizer
  from pyclustering.nnet.sync import sync_visualizer
  from pyclustering.nnet import initial_type, solve_type
  from pyclustering.samples.definitions import SIMPLE_SAMPLES
  from pyclustering.samples.definitions import FCPS_SAMPLES
  from pyclustering.utils import draw_clusters
  from pyclustering.utils import read_sample
  from pyclustering.utils import timedcall
label_desc: Use image node_id 15 for calling a global function with example usage: experiment_execution_time(show_dyn, ccore) without return types