code: def test_class_init_with_data_nonstring(self):
      self.g = NaiveBayes(feature_vars=[2, 3], dependent_var=1)
      self.assertCountEqual(list(self.g.nodes()), [1, 2, 3])
      self.assertCountEqual(list(self.g.edges()), [(1, 2), (1, 3)])
      self.assertEqual(self.g.dependent, 1)
      self.assertSetEqual(self.g.features, {2, 3})
  
imports: import unittest
  import networkx
  import pandas
  import numpy
  from pgmpy.models import NaiveBayes
  from pgmpy.independencies import Independencies
label_desc: Use image node_id 4 for calling the TestBaseModelCreation obj's underlying member method code with example usage: obj.test_class_init_with_data_nonstring() without return types