code: def test_get_property(self):
      property_expected = {
          "bowel-problem": ["position = (335, 99)"],
          "dog-out": ["position = (300, 195)"],
          "family-out": ["position = (257, 99)"],
          "hear-bark": ["position = (296, 268)"],
          "light-on": ["position = (218, 195)"],
      }
      prop = self.reader.get_property()
      for variable in property_expected:
          self.assertListEqual(
              property_expected[variable], prop[variable]
          )
  
imports: import os
  import unittest
  import networkx
  import numpy
  import numpy.testing
  from pgmpy import config
  from pgmpy.factors.discrete import TabularCPD
  from pgmpy.models import BayesianNetwork
  from pgmpy.readwrite import BIFReader, BIFWriter
label_desc: Use image node_id 5 for calling the TestBIFReaderTorch obj's underlying member method code with example usage: obj.test_get_property() without return types