code: def testBroadcastBatchDimensionsAreIndependent(self):
      mixture = mixture_same_family.MixtureSameFamily(
          mixture_distribution=categorical.Categorical(
              probs=[0.5, 0.5]
          ),
          components_distribution=normal.Normal(
              loc=[[0.0, 10.0], [0.0, 10.0]], scale=0.1
          ),
      )
      samples = self.evaluate(
          mixture.sample(
              sample_shape=(1000,), seed=test_util.test_seed()
          )
      )
      # If mixture components across the batch are independent, we'll sample from
      # (10, 0) and (0, 10) just as often as (0, 0) and (10, 10), so the mean
      # absolute difference is about 5. On the other hand, if both batches share
      # the same mixture component, the mean absolute difference would be close
      # to zero.
      self.assertGreater(
          np.mean(np.abs(samples[..., 0] - samples[..., 1])), 4.0
      )
  
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 13 for calling the _MixtureSameFamilyTest obj's underlying member method code with example usage: obj.testBroadcastBatchDimensionsAreIndependent() without return types