code: def testReparameterizationOfNonReparameterizedComponents(self):
      with self.assertRaises(ValueError):
          mixture_same_family.MixtureSameFamily(
              mixture_distribution=categorical.Categorical(
                  logits=self._build_tensor([-0.3, 0.4])
              ),
              components_distribution=bernoulli.Bernoulli(
                  logits=self._build_tensor([0.1, -0.1])
              ),
              reparameterize=True,
              validate_args=True,
          )
  
imports: import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import bernoulli
  from tensorflow_probability.python.distributions import categorical
  from tensorflow_probability.python.distributions import dirichlet
  from tensorflow_probability.python.distributions import exponential
  from tensorflow_probability.python.distributions import independent
  from tensorflow_probability.python.distributions import logistic
  from tensorflow_probability.python.distributions import mixture_same_family
  from tensorflow_probability.python.distributions import mvn_diag
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.internal import hypothesis_testlib
  from tensorflow_probability.python.internal import samplers
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 15 for calling the _MixtureSameFamilyTest obj's underlying member method code with example usage: obj.testReparameterizationOfNonReparameterizedComponents() without return types