code: def test_inference(self):
      res1 = self.infer.query([("Y", 1)], seed=42)
      expected1 = DiscreteFactor([("Y", 1)], [2], [0.2259, 0.7741])
      self.assertTrue(res1.__eq__(expected1, atol=0.01))
      res2 = self.infer.query([("Y", 0), ("Y", 1)], seed=42)
      expected2 = DiscreteFactor(
          [("Y", 0), ("Y", 1)], [2, 2], [0.0510, 0.1763, 0.1698, 0.6029]
      )
      self.assertTrue(res2.__eq__(expected2, atol=0.01))
      res3 = self.infer.query([("Y", 1), ("Y", 5)], seed=42)
      expected3 = DiscreteFactor(
          [("Y", 1), ("Y", 5)], [2, 2], [0.0476, 0.1732, 0.1762, 0.6030]
      )
      self.assertTrue(res3.__eq__(expected3, atol=0.01))
  
imports: import unittest
  from pgmpy import config
  from pgmpy.factors.discrete import DiscreteFactor, TabularCPD
  from pgmpy.inference import ApproxInference, VariableElimination
  from pgmpy.models import DynamicBayesianNetwork
  from pgmpy.utils import get_example_model
label_desc: Use image node_id 2 for calling the TestApproxInferenceDBN obj's underlying member method code with example usage: obj.test_inference() without return types