code: def test_copy(self):
      self.network.add_edges_from(
          [
              (("D", 0), ("G", 0)),
              (("I", 0), ("G", 0)),
              (("D", 0), ("D", 1)),
              (("I", 0), ("I", 1)),
          ]
      )
      cpd = TabularCPD(
          ("G", 0),
          3,
          values=[
              [0.3, 0.05, 0.8, 0.5],
              [0.4, 0.25, 0.1, 0.3],
              [0.3, 0.7, 0.1, 0.2],
          ],
          evidence=[("D", 0), ("I", 0)],
          evidence_card=[2, 2],
      )
      self.network.add_cpds(cpd)
      copy = self.network.copy()
      self.assertIsInstance(copy, DBN)
      self.assertListEqual(
          sorted(self.network._nodes()), sorted(copy._nodes())
      )
      self.assertListEqual(
          sorted(self.network.edges()), sorted(copy.edges())
      )
      self.assertListEqual(self.network.get_cpds(), copy.get_cpds())
      self.assertListEqual(
          sorted(self.network.get_intra_edges()),
          sorted(copy.get_intra_edges()),
      )
      self.assertListEqual(
          sorted(self.network.get_inter_edges()),
          sorted(copy.get_inter_edges()),
      )
      self.assertListEqual(
          sorted(self.network.get_slice_nodes()),
          sorted(copy.get_slice_nodes()),
      )
  
      copy.cpds[0].values = np.array(
          [
              [0.4, 0.05, 0.3, 0.5],
              [0.3, 0.25, 0.5, 0.3],
              [0.3, 0.7, 0.2, 0.2],
          ]
      )
      self.assertNotEqual(self.network.get_cpds(), copy.get_cpds())
      self.network.add_cpds(self.i_i_cpd, self.d_i_cpd)
  
      copy.add_cpds(self.diff_cpd, self.intel_cpd)
      self.network.add_node("A")
      copy.add_node("Z")
      self.network.add_edge(("A", 0), ("D", 0))
      copy.add_edge(("Z", 0), ("D", 0))
      self.assertNotEqual(
          sorted(self.network._nodes()), sorted(copy._nodes())
      )
      self.assertNotEqual(
          sorted(self.network.edges()), sorted(copy.edges())
      )
      self.assertNotEqual(self.network.get_cpds(), copy.get_cpds())
      self.assertNotEqual(
          sorted(self.network.get_intra_edges()),
          sorted(copy.get_intra_edges()),
      )
      self.assertListEqual(
          sorted(self.network.get_inter_edges()),
          sorted(copy.get_inter_edges()),
      )
      self.assertNotEqual(
          sorted(self.network.get_slice_nodes()),
          sorted(copy.get_slice_nodes()),
      )
  
      self.network.add_edge(("A", 0), ("D", 1))
      copy.add_edge(("Z", 0), ("D", 1))
      self.assertNotEqual(
          sorted(self.network.get_inter_edges()),
          sorted(copy.get_inter_edges()),
      )
  
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 13 for calling the TestDynamicBayesianNetworkMethods obj's underlying member method code with example usage: obj.test_copy() without return types