code: def test_super_connected_network(self):
      edges = [
          (("A", 0), ("A", 1)),
          (("A", 0), ("B", 1)),
          (("B", 0), ("A", 1)),
          (("B", 0), ("B", 1)),
          (("L", 0), ("A", 0)),
          (("L", 0), ("B", 0)),
          (("L", 0), ("L", 1)),
          (("L", 1), ("A", 1)),
          (("L", 1), ("B", 1)),
      ]
  
      bnet = DynamicBayesianNetwork(edges)  # , latents=set('L'))
  
      bnet_cpds = []
      bnet_cpds.append(
          TabularCPD(
              ("A", 0),
              2,
              softmax(np.ones((2, 2)), axis=0),
              evidence=[("L", 0)],
              evidence_card=[2],
          )
      )
      bnet_cpds.append(
          TabularCPD(
              ("B", 0),
              2,
              softmax(np.ones((2, 2)), axis=0),
              evidence=[("L", 0)],
              evidence_card=[2],
          )
      )
      bnet_cpds.append(
          TabularCPD(("L", 0), 2, softmax(np.ones((2, 1)), axis=0))
      )
      bnet_cpds.append(
          TabularCPD(
              ("A", 1),
              2,
              softmax(np.ones((2, 8)), axis=0),
              evidence=[("A", 0), ("B", 0), ("L", 1)],
              evidence_card=[2, 2, 2],
          )
      )
      bnet_cpds.append(
          TabularCPD(
              ("B", 1),
              2,
              softmax(np.ones((2, 8)), axis=0),
              evidence=[("A", 0), ("B", 0), ("L", 1)],
              evidence_card=[2, 2, 2],
          )
      )
      bnet_cpds.append(
          TabularCPD(
              ("L", 1),
              2,
              softmax(np.ones((2, 2)), axis=0),
              evidence=[("L", 0)],
              evidence_card=[2],
          )
      )
  
      bnet.add_cpds(*bnet_cpds)
  
      ie = DBNInference(bnet)
  
file_path: pgmpy/pgmpy/tests/test_inference/test_dbn_inference.py
imports: import unittest
  import numpy
  import numpy.testing
  from scipy.special import softmax
  from pgmpy.inference import DBNInference
  from pgmpy.models import DynamicBayesianNetwork
  from pgmpy.factors.discrete import TabularCPD
label_desc: Use image node_id 10 for calling the TestDBNInference obj's underlying member method code with example usage: obj.test_super_connected_network() without return types