code: def test_class_init_valueerror(self):
      self.assertRaises(
          ValueError,
          CanonicalDistribution,
          ["x1", "x2", "x3"],
          np.array(
              [[1.1, -1, 0], [-1, 4, -2], [0, -2, 4]], dtype=float
          ),
          np.array([1, 2], dtype=float),
          7,
      )
      self.assertRaises(
          ValueError,
          CanonicalDistribution,
          ["x1", "x2", "x3"],
          np.array([[1.1, -1, 0], [-1, 4], [0, -2, 4]], dtype=object),
          np.array([1, 2, 3], dtype=float),
          7,
      )
      self.assertRaises(
          ValueError,
          CanonicalDistribution,
          ["x1", "x2", "x3"],
          np.array([[1.1, -1, 0], [0, -2, 4]], dtype=float),
          np.array([1, 2, 3], dtype=float),
          7,
      )
      self.assertRaises(
          ValueError,
          CanonicalDistribution,
          ["x1", "x3"],
          np.array(
              [[1.1, -1, 0], [-1, 4, -2], [0, -2, 4]], dtype=float
          ),
          np.array([1, 2, 3], dtype=float),
          7,
      )
  
file_path: pgmpy/pgmpy/tests/test_factors/test_continuous/test_Canonical_Factor.py
imports: import unittest
  import numpy
  import numpy.testing
  from pgmpy.factors.distributions import GaussianDistribution
  from pgmpy.factors.continuous import CanonicalDistribution
label_desc: Use image node_id 2 for calling the TestCanonicalFactor obj's underlying member method code with example usage: obj.test_class_init_valueerror() without return types