text: # -*- coding: utf-8 -*-
  
  # Copyright (c) 2016-2022 by University of Kassel and Fraunhofer Institute for Energy Economics
  # and Energy System Technology (IEE), Kassel. All rights reserved.
  
  
  import pytest
  
  import pandapower as pp
  import pandapower.networks as pn
  
  @pytest.mark.slow
  def test_dickert_lv_networks():
      net_data = [('short', 'cable', 'single', 'good', 1),
                  ('short', 'cable', 'single', 'average', 1),
                  ('short', 'cable', 'single', 'bad', 2),
                  ('short', 'cable', 'multiple', 'good', 2*3),
                  ('short', 'cable', 'multiple', 'average', 2*6),
                  ('short', 'cable', 'multiple', 'bad', 2*10),
                  ('middle', 'cable', 'multiple', 'good', 3*15),
                  ('middle', 'cable', 'multiple', 'average', 3*20),
                  ('middle', 'cable', 'multiple', 'bad', 3*25),
                  ('middle', 'C&OHL', 'multiple', 'good', 3*10),
                  ('middle', 'C&OHL', 'multiple', 'average', 3*13),
                  ('middle', 'C&OHL', 'multiple', 'bad', 3*16),
                  ('long', 'cable', 'multiple', 'good', 3*30),
                  ('long', 'cable', 'multiple', 'average', 3*40),
                  ('long', 'cable', 'multiple', 'bad', 3*50),
                  ('long', 'C&OHL', 'multiple', 'good', 3*20),
                  ('long', 'C&OHL', 'multiple', 'average', 3*30),
                  ('long', 'C&OHL', 'multiple', 'bad', 3*40)]
      for i in net_data:
          net = pn.create_dickert_lv_network(i[0], i[1], i[2], i[3])
          assert net.bus.shape[0] == i[4] + 2
          pp.runpp(net)
          assert net.converged
  
  
  if __name__ == '__main__':
      pytest.main(['-x', "test_dickert_lv_networks.py"])
  