code: def test_states(self):
      states_expected = {
          "bowel-problem": ["true", "false"],
          "dog-out": ["true", "false"],
          "family-out": ["true", "false"],
          "hear-bark": ["true", "false"],
          "light-on": ["true", "false"],
      }
      states = self.reader.get_states()
      for variable in states_expected:
          self.assertListEqual(
              states_expected[variable], states[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 4 for calling the TestBIFReaderTorch obj's underlying member method code with example usage: obj.test_states() without return types