code: def simple_segmentation_example():
      "Perfect results!"
      parameters = legion_parameters()
      parameters.eps = 0.02
      parameters.alpha = 0.005
      parameters.betta = 0.1
      parameters.gamma = 7.0
      parameters.teta = 0.9
      parameters.lamda = 0.1
      parameters.teta_x = -0.5
      parameters.teta_p = 7.0
      parameters.Wz = 0.7
      parameters.mu = 0.01
      parameters.fi = 3.0
      parameters.teta_xz = 0.1
      parameters.teta_zx = 0.1
  
      parameters.ENABLE_POTENTIONAL = False
      template_dynamic_legion(
          81,
          2500,
          2500,
          conn_type=conn_type.GRID_FOUR,
          params=parameters,
          stimulus=[
              1,
              1,
              1,
              0,
              0,
              0,
              0,
              0,
              0,
              1,
              1,
              1,
              0,
              0,
              1,
              1,
              1,
              1,
              1,
              1,
              1,
              0,
              0,
              1,
              1,
              1,
              1,
              0,
              0,
              0,
              0,
              0,
              0,
              1,
              1,
              1,
              0,
              0,
              0,
              0,
              0,
              0,
              1,
              1,
              1,
              1,
              1,
              1,
              1,
              0,
              0,
              1,
              1,
              1,
              1,
              1,
              1,
              1,
              0,
              0,
              0,
              0,
              0,
              1,
              1,
              1,
              1,
              0,
              0,
              0,
              0,
              0,
              1,
              1,
              1,
              1,
              0,
              0,
              0,
              0,
              0,
          ],
          separate_repr=[
              [0, 1, 2, 9, 10, 11, 18, 19, 20],
              [
                  14,
                  15,
                  16,
                  17,
                  23,
                  24,
                  25,
                  26,
                  33,
                  34,
                  35,
                  42,
                  43,
                  44,
                  51,
                  52,
                  53,
              ],
              [
                  45,
                  46,
                  47,
                  48,
                  54,
                  55,
                  56,
                  57,
                  63,
                  64,
                  65,
                  66,
                  72,
                  73,
                  74,
                  75,
              ],
          ],
      )
  
file_path: pyclustering/pyclustering/nnet/examples/legion_examples.py
imports: from pyclustering.utils import draw_dynamics
  from pyclustering.nnet.legion import legion_network, legion_parameters
  from pyclustering.nnet import *
label_desc: Use image node_id 12 for calling a global function with example usage: simple_segmentation_example() without return types