code: def setUp(self):
      self.cancer_model = DBN()
      #########################    1    ######################
      self.cpd_poll = TabularCPD(
          variable=("Pollution", 0),
          variable_card=2,
          values=[[0.9], [0.1]],
      )
      self.cpd_smoke = TabularCPD(
          variable=("Smoker", 0), variable_card=2, values=[[0.3], [0.7]]
      )
      self.cpd_cancer = TabularCPD(
          variable=("Cancer", 0),
          variable_card=2,
          values=[[0.03, 0.05, 0.001, 0.02], [0.97, 0.95, 0.999, 0.98]],
          evidence=[("Smoker", 0), ("Pollution", 0)],
          evidence_card=[2, 2],
      )
      self.cpd_xray = TabularCPD(
          variable=("Xray", 0),
          variable_card=2,
          values=[[0.9, 0.2], [0.1, 0.8]],
          evidence=[("Cancer", 0)],
          evidence_card=[2],
      )
      self.cpd_dysp = TabularCPD(
          variable=("Dyspnoea", 0),
          variable_card=2,
          values=[[0.65, 0.3], [0.35, 0.7]],
          evidence=[("Cancer", 0)],
          evidence_card=[2],
      )
  
      #########################    2    ######################
      self.cpd_poll2 = TabularCPD(
          variable=("Pollution", 1),
          variable_card=2,
          values=[[0.9, 0.1], [0.1, 0.9]],
          evidence=[("Pollution", 0)],
          evidence_card=[2],
      )
      self.cpd_smoke2 = TabularCPD(
          variable=("Smoker", 1),
          variable_card=2,
          values=[[0.7, 0.3], [0.3, 0.7]],
          evidence=[("Smoker", 0)],
          evidence_card=[2],
      )
      self.cpd_cancer2 = TabularCPD(
          variable=("Cancer", 1),
          variable_card=2,
          values=[[0.03, 0.05, 0.001, 0.02], [0.97, 0.95, 0.999, 0.98]],
          evidence=[("Smoker", 1), ("Pollution", 1)],
          evidence_card=[2, 2],
      )
      self.cpd_xray2 = TabularCPD(
          variable=("Xray", 1),
          variable_card=2,
          values=[[0.9, 0.2], [0.1, 0.8]],
          evidence=[("Cancer", 1)],
          evidence_card=[2],
      )
      self.cpd_dysp2 = TabularCPD(
          variable=("Dyspnoea", 1),
          variable_card=2,
          values=[[0.65, 0.3], [0.35, 0.7]],
          evidence=[("Cancer", 1)],
          evidence_card=[2],
      )
  
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 1 for calling the TestDynamicBayesianNetworkMethods3 obj's underlying member method code with example usage: obj.setUp() without return types