code: def setUp(self):
      self.model = BayesianNetwork(
          [
              ("diff", "grade"),
              ("intel", "grade"),
              ("intel", "sat"),
              ("grade", "reco"),
          ]
      )
      raw_data = np.random.randint(low=0, high=2, size=(1000, 5))
      data = pd.DataFrame(
          raw_data, columns=["diff", "grade", "intel", "sat", "reco"]
      )
      self.model.fit(data)
  
imports: from unittest import TestCase
  import numpy
  import pandas
  from pgmpy.inference.EliminationOrder import BaseEliminationOrder, MinFill, MinNeighbors, MinWeight, WeightedMinFill
  from pgmpy.models import BayesianNetwork
label_desc: Use image node_id 1 for calling the BaseEliminationTest obj's underlying member method code with example usage: obj.setUp() without return types