code: def testReparameterizationGradientsNormalScalarComponents(self):
      def mixture_func(logits, loc, scale):
          return mixture_same_family.MixtureSameFamily(
              mixture_distribution=categorical.Categorical(
                  logits=logits
              ),
              components_distribution=normal.Normal(
                  loc=loc, scale=scale
              ),
              reparameterize=True,
              validate_args=True,
          )
  
      for function in ["mean", "variance"]:
          self._testMixtureReparameterizationGradients(
              mixture_func,
              [
                  self._build_tensor([[0.1, 0.5]]),  # logits
                  self._build_tensor([[0.4, 0.25]]),  # loc
                  self._build_tensor([[0.1, 0.5]]),
              ],  # scale
              function,
              num_samples=10000,
          )
  
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 18 for calling the _MixtureSameFamilyTest obj's underlying member method code with example usage: obj.testReparameterizationGradientsNormalScalarComponents() and returns: mixture_same_family