code: def setUp(self):
      config.set_backend("torch")
  
      self.reader = BIFReader(
          string="""
                  // Bayesian Network in the Interchange Format
                  // Produced by BayesianNetworks package in JavaBayes
                  // Output created Sun Nov 02 17:49:49 GMT+00:00 1997
                  // Bayesian network
                  network "Dog-Problem" { //5 variables and 5 probability distributions
                          property "credal-set constant-density-bounded 1.1" ;
                  }
                  variable  "light-on" { //2 values
                          type discrete[2] {  "true"  "false" };
                          property "position = (218, 195)" ;
                  }
                  variable  "bowel-problem" { //2 values
                          type discrete[2] {  "true"  "false" };
                          property "position = (335, 99)" ;
                  }
                  variable  "dog-out" { //2 values
                          type discrete[2] {  "true"  "false" };
                          property "position = (300, 195)" ;
                  }
                  variable  "hear-bark" { //2 values
                          type discrete[2] {  "true"  "false" };
                          property "position = (296, 268)" ;
                  }
                  variable  "family-out" { //2 values
                          type discrete[2] {  "true"  "false" };
                          property "position = (257, 99)" ;
                  }
                  probability (  "light-on"  "family-out" ) { //2 variable(s) and 4 values
                          (true) 0.6 0.4 ;
                          (false) 0.05 0.95 ;
                  }
                  probability (  "bowel-problem" ) { //1 variable(s) and 2 values
                          table 0.01 0.99 ;
                  }
                  probability (  "dog-out"  "bowel-problem"  "family-out" ) { //3 variable(s) and 8 values
                          table 0.99 0.97 0.9 0.3 0.01 0.03 0.1 0.7 ;
                  }
                  probability (  "hear-bark"  "dog-out" ) { //2 variable(s) and 4 values
                          table 0.7 0.01 0.3 0.99 ;
                  }
                  probability (  "family-out" ) { //1 variable(s) and 2 values
                          table 0.15 0.85 ;
                  }
                  """,
          include_properties=True,
      )
  
      self.water_model = BIFReader(
          "pgmpy/tests/test_readwrite/testdata/water.bif",
          include_properties=True,
      )
  
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 1 for calling the TestBIFReaderTorch obj's underlying member method code with example usage: obj.setUp() without return types