code: def test_q_network_property(self):
      trainer = self._construct_trainer()
      self.assertEqual(trainer.q_network, trainer.q1_network)
  
imports: import unittest
  import torch
  from reagent.core.parameters import EvaluationParameters, RLParameters
  from reagent.core.types import DiscreteDqnInput, ExtraData, FeatureData
  from reagent.evaluation.evaluator import get_metrics_to_score
  from reagent.models.actor import FullyConnectedActor
  from reagent.models.dqn import FullyConnectedDQN
  from reagent.training.discrete_crr_trainer import DiscreteCRRTrainer
  from reagent.training.parameters import CRRTrainerParameters
  from reagent.workflow.types import RewardOptions
label_desc: Use image node_id 6 for calling the TestCRR obj's underlying member method code with example usage: obj.test_q_network_property() without return types