code: def test_get_model(self):
      model = self.reader_string.get_model()
      edge_expected = {
          "var_2": {
              "var_0": {"weight": None},
              "var_1": {"weight": None},
          },
          "var_0": {
              "var_2": {"weight": None},
              "var_1": {"weight": None},
          },
          "var_1": {
              "var_2": {"weight": None},
              "var_0": {"weight": None},
          },
      }
  
      self.assertListEqual(
          sorted(model.nodes()), sorted(["var_0", "var_2", "var_1"])
      )
      if nx.__version__.startswith("1"):
          self.assertDictEqual(dict(model.edge), edge_expected)
      else:
          self.assertDictEqual(dict(model.adj), edge_expected)
  
imports: import unittest
  import networkx
  import numpy
  from pgmpy import config
  from pgmpy.factors.discrete import DiscreteFactor, TabularCPD
  from pgmpy.models import BayesianNetwork, MarkovNetwork
  from pgmpy.readwrite import UAIReader, UAIWriter
label_desc: Use image node_id 7 for calling the TestUAIReaderTorch obj's underlying member method code with example usage: obj.test_get_model() without return types