code: def template_graph_coloring(
      positive_weight,
      negative_weight,
      filename,
      reduction=None,
      title=None,
  ):
      if title is None:
          title = filename
      print("\nGraph Coloring: ", title)
  
      graph = read_graph(filename)
      network = syncgcolor(
          graph.data, positive_weight, negative_weight, reduction
      )
  
      analyser = network.process(
          order=0.999, solution=solve_type.FAST, collect_dynamic=True
      )
      sync.sync_visualizer.show_output_dynamic(analyser)
  
      clusters = analyser.allocate_color_clusters()
  
      for index in range(0, len(clusters)):
          print("Color #", index, ": ", clusters[index])
  
      coloring_map = analyser.allocate_map_coloring()
      print("Number colors: ", max(coloring_map))
  
      draw_graph(graph, coloring_map)
  
      # Check validity of colors
      for index_node in range(len(graph.data)):
          color_neighbors = [
              coloring_map[index]
              for index in range(len(graph.data[index_node]))
              if graph.data[index_node][index] != 0
              and index_node != index
          ]
          # print(index_node, map_coloring[index_node], color_neighbors, assigned_colors, map_coloring, "\n\n");
  
          if coloring_map[index_node] in color_neighbors:
              print("Warining: Incorrect coloring")
              return
  
imports: from pyclustering.gcolor.sync import syncgcolor
  from pyclustering.nnet import *
  from pyclustering.utils import draw_dynamics
  from pyclustering.utils.graph import read_graph, draw_graph
  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(positive_weight, negative_weight, filename, reduction, title) without return types