code: def test_query_evidence(self):
      query_results = self.infer_alarm.query(
          variables=["HISTORY"], evidence={"PVSAT": "LOW"}, joint=True
      )
      ve_results = self.alarm_ve.query(
          variables=["HISTORY"], evidence={"PVSAT": "LOW"}, joint=True
      )
      self.assertTrue(query_results.__eq__(ve_results, atol=0.01))
  
      query_results = self.infer_alarm.query(
          variables=["HISTORY"],
          evidence={"PVSAT": "LOW"},
          samples=self.samples[self.samples.PVSAT == "LOW"],
          joint=True,
      )
      self.assertTrue(query_results.__eq__(ve_results, atol=0.01))
  
      query_results = self.infer_alarm.query(
          variables=["HISTORY", "CVP"],
          evidence={"PVSAT": "LOW"},
          joint=True,
      )
      ve_results = self.alarm_ve.query(
          variables=["HISTORY", "CVP"],
          evidence={"PVSAT": "LOW"},
          joint=True,
      )
      self.assertTrue(query_results.__eq__(ve_results, atol=0.01))
  
      query_results = self.infer_alarm.query(
          variables=["HISTORY", "CVP"],
          evidence={"PVSAT": "LOW"},
          samples=self.samples[self.samples.PVSAT == "LOW"],
          joint=True,
      )
      self.assertTrue(query_results.__eq__(ve_results, atol=0.01))
  
      query_results = self.infer_alarm.query(
          variables=["HISTORY", "CVP"],
          evidence={"PVSAT": "LOW"},
          joint=False,
      )
      ve_results = self.alarm_ve.query(
          variables=["HISTORY", "CVP"],
          evidence={"PVSAT": "LOW"},
          joint=False,
      )
      for var in ["HISTORY", "CVP"]:
          self.assertTrue(
              query_results[var].__eq__(ve_results[var], atol=0.01)
          )
  
      query_results = self.infer_alarm.query(
          variables=["HISTORY", "CVP"],
          evidence={"PVSAT": "LOW"},
          samples=self.samples[self.samples.PVSAT == "LOW"],
          joint=False,
      )
      for var in ["HISTORY", "CVP"]:
          self.assertTrue(
              query_results[var].__eq__(ve_results[var], 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 3 for calling the TestApproxInferenceBN obj's underlying member method code with example usage: obj.test_query_evidence() without return types