code: def test_get_distribution(self):
      distribution = self.reader_string.get_distributions()
      self.assertEqual(distribution["a"]["TYPE"], "discrete")
      self.assertListEqual(distribution["b"]["CONDSET"], ["a"])
      np_test.assert_array_equal(
          distribution["a"]["DPIS"], np.array([[0.2], [0.8]])
      )
      np_test.assert_array_equal(
          distribution["f"]["DPIS"], np.array([[0.3], [0.7]])
      )
      np_test.assert_array_equal(
          distribution["e"]["DPIS"], np.array([[0.8, 0.6], [0.2, 0.4]])
      )
      np_test.assert_array_equal(
          distribution["e"]["CARDINALITY"], np.array([2])
      )
      np_test.assert_array_equal(
          distribution["d"]["DPIS"],
          np.array([[0.8, 0.9, 0.7, 0.05], [0.2, 0.1, 0.3, 0.95]]),
      )
      np_test.assert_array_equal(
          distribution["b"]["DPIS"], np.array([[0.8, 0.2], [0.2, 0.8]])
      )
      np_test.assert_array_equal(
          distribution["d"]["CARDINALITY"], np.array([2, 2])
      )
      np_test.assert_array_equal(
          distribution["c"]["DPIS"],
          np.array([[0.2, 0.05], [0.8, 0.95]]),
      )
      np_test.assert_array_equal(
          distribution["c"]["CARDINALITY"], np.array([2])
      )
      distribution = self.reader_file.get_distributions()
      self.assertEqual(distribution["a"]["TYPE"], "discrete")
      self.assertListEqual(distribution["b"]["CONDSET"], ["a"])
      np_test.assert_array_equal(
          distribution["a"]["DPIS"], np.array([[0.2], [0.8]])
      )
      np_test.assert_array_equal(
          distribution["f"]["DPIS"], np.array([[0.3], [0.7]])
      )
      np_test.assert_array_equal(
          distribution["e"]["DPIS"], np.array([[0.8, 0.6], [0.2, 0.4]])
      )
      np_test.assert_array_equal(
          distribution["e"]["CARDINALITY"], np.array([2])
      )
      np_test.assert_array_equal(
          distribution["d"]["DPIS"],
          np.array([[0.8, 0.9, 0.7, 0.05], [0.2, 0.1, 0.3, 0.95]]),
      )
      np_test.assert_array_equal(
          distribution["d"]["CARDINALITY"], np.array([2, 2])
      )
      np_test.assert_array_equal(
          distribution["b"]["DPIS"], np.array([[0.8, 0.2], [0.2, 0.8]])
      )
      np_test.assert_array_equal(
          distribution["c"]["DPIS"],
          np.array([[0.2, 0.05], [0.8, 0.95]]),
      )
      np_test.assert_array_equal(
          distribution["c"]["CARDINALITY"], np.array([2])
      )
  
imports: import io
  import sys
  import unittest
  import xml.etree.ElementTree
  import networkx
  import numpy
  import numpy.testing
  from pgmpy.factors.discrete import TabularCPD
  from pgmpy.models import BayesianNetwork
  from pgmpy.readwrite import XMLBeliefNetwork
label_desc: Use image node_id 8 for calling the TestXBNReader obj's underlying member method code with example usage: obj.test_get_distribution() without return types