code: def template_graph_coloring(
      filename,
      alpha,
      eps,
      steps,
      time,
      title=None,
      tolerance=0.1,
      threshold_steps=10,
  ):
      if title is None:
          title = filename
  
      graph = read_graph(filename)
      network = hysteresisgcolor(graph.data, alpha, eps)
  
      output_dynamic = network.simulate(steps, time)
      draw_dynamics(
          output_dynamic.time,
          output_dynamic.output,
          x_title="Time",
          y_title="State",
      )
  
      clusters = output_dynamic.allocate_clusters(
          tolerance, threshold_steps
      )
      for index in range(0, len(clusters)):
          print("Color #", index, ": ", clusters[index])
  
      coloring_map = output_dynamic.allocate_map_coloring(
          tolerance, threshold_steps
      )
      draw_graph(graph, coloring_map)
  
file_path: pyclustering/pyclustering/gcolor/examples/hysteresis_examples.py
imports: from pyclustering.gcolor.hysteresis import hysteresisgcolor
  from pyclustering.utils.graph import read_graph, draw_graph
  from pyclustering.utils import draw_dynamics
  from pyclustering.samples.definitions import GRAPH_SIMPLE_SAMPLES
label_desc: Use image node_id 1 for calling a global function with example usage: template_graph_coloring(filename, alpha, eps, steps, time, title, tolerance, threshold_steps) without return types