code: def test_class_init_valueerror(self):
      self.assertRaises(
          ValueError,
          GD,
          ["x1", "x2", "x3"],
          [1, -3],
          np.array([[4, 2, -2], [2, 5, -5], [-2, -5, 8]]),
      )
      self.assertRaises(
          ValueError,
          GD,
          ["x1", "x2"],
          [1, -3, 4],
          np.array([[4, 2, -2], [2, 5, -5], [-2, -5, 8]]),
      )
      self.assertRaises(
          ValueError,
          GD,
          ["x1", "x2", "x3"],
          [[1, -3, 4]],
          np.array([[4, 2, -2], [2, 5, -5], [-2, -5, 8]]),
      )
      self.assertRaises(
          ValueError,
          GD,
          ["x1", "x2", "x3"],
          [1],
          np.array([[4, 2, -2], [2, 5, -5], [-2, -5, 8]]),
      )
      self.assertRaises(
          ValueError,
          GD,
          ["x1", "x2", "x3"],
          [[1], [-3]],
          np.array([[4, 2, -2], [2, 5, -5], [-2, -5, 8]]),
      )
  
      self.assertRaises(
          ValueError,
          GD,
          ["x1", "x2", "x3"],
          [1, -3, 4],
          np.array([[4, 2, -2], [2, 5, -5]]),
      )
      self.assertRaises(
          ValueError,
          GD,
          ["x1", "x2", "x3"],
          [1, -3, 4],
          np.array([[4, 2, -2]]),
      )
      self.assertRaises(
          ValueError,
          GD,
          ["x1", "x2", "x3"],
          [1, -3],
          np.array([[4, 2], [2, 5], [-2, -5]]),
      )
      self.assertRaises(
          ValueError,
          GD,
          ["x1", "x2", "x3"],
          [1, -3],
          np.array([[4], [2], [-2]]),
      )
      self.assertRaises(
          ValueError, GD, ["x1", "x2", "x3"], [1, -3], np.array([[-2]])
      )
  
imports: import unittest
  import numpy
  import numpy.testing
  from pgmpy.factors.distributions import GaussianDistribution
label_desc: Use image node_id 2 for calling the TestGDInit obj's underlying member method code with example usage: obj.test_class_init_valueerror() without return types