code: def test_initialize_and_infer2(self):
      self.cancer_model.add_edges_from(
          [
              (("Pollution", 0), ("Cancer", 0)),
              (("Smoker", 0), ("Cancer", 0)),
              (("Cancer", 0), ("Xray", 0)),
              (("Cancer", 0), ("Dyspnoea", 0)),
              (("Pollution", 0), ("Pollution", 1)),
              (("Smoker", 0), ("Smoker", 1)),
              (("Pollution", 1), ("Cancer", 1)),
              (("Smoker", 1), ("Cancer", 1)),
              (("Cancer", 1), ("Xray", 1)),
              (("Cancer", 1), ("Dyspnoea", 1)),
          ]
      )
  
      self.cancer_model.add_cpds(
          self.cpd_poll,
          self.cpd_smoke,
          self.cpd_cancer,
          self.cpd_xray,
          self.cpd_dysp,
          self.cpd_poll2,
          self.cpd_smoke2,
          self.cpd_cancer2,
          self.cpd_xray2,
          self.cpd_dysp2,
      )
      self.cancer_model.initialize_initial_state()
  
      self.assertEqual(len(self.cancer_model.cpds), 10)
  
      self.cancer_inf = DBNInference(self.cancer_model)
      self.cancer_query_result = self.cancer_inf.query(
          [("Xray", 1)], {("Smoker", 0): 0}
      )[("Xray", 1)].values
  
      self.assertAlmostEqual(self.cancer_query_result[0], 0.213307, 4)
      self.assertAlmostEqual(self.cancer_query_result[1], 0.786693, 4)
  
imports: import unittest
  import numpy
  import numpy.testing
  import pandas
  import pgmpy.tests.help_functions
  from pgmpy.factors.discrete import TabularCPD
  from pgmpy.inference import CausalInference, DBNInference, VariableElimination
  from pgmpy.models import BayesianNetwork
  from pgmpy.models import DynamicBayesianNetwork
label_desc: Use image node_id 3 for calling the TestDynamicBayesianNetworkMethods3 obj's underlying member method code with example usage: obj.test_initialize_and_infer2() without return types