code: def testShapes(self):
      for batch_shape in ([], [1], [2, 3, 4]):
          dist = make_univariate_mixture(batch_shape, num_components=10)
          self.assertAllEqual(batch_shape, dist.batch_shape)
          self.assertAllEqual(
              batch_shape, self.evaluate(dist.batch_shape_tensor())
          )
          self.assertAllEqual([], dist.event_shape)
          self.assertAllEqual(
              [], self.evaluate(dist.event_shape_tensor())
          )
  
          for event_shape in ([1], [2]):
              dist = make_multivariate_mixture(
                  batch_shape,
                  num_components=10,
                  event_shape=event_shape,
              )
              self.assertAllEqual(batch_shape, dist.batch_shape)
              self.assertAllEqual(
                  batch_shape, self.evaluate(dist.batch_shape_tensor())
              )
              self.assertAllEqual(event_shape, dist.event_shape)
              self.assertAllEqual(
                  event_shape, self.evaluate(dist.event_shape_tensor())
              )
  
imports: import contextlib
  import warnings
  import numpy
  from scipy import stats
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import categorical
  from tensorflow_probability.python.distributions import dirichlet
  from tensorflow_probability.python.distributions import distribution
  from tensorflow_probability.python.distributions import gamma
  from tensorflow_probability.python.distributions import half_normal
  from tensorflow_probability.python.distributions import independent
  from tensorflow_probability.python.distributions import mixture
  from tensorflow_probability.python.distributions import mvn_diag
  from tensorflow_probability.python.distributions import mvn_tril
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.internal import hypothesis_testlib
  from tensorflow_probability.python.internal import reparameterization
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 1 for calling the MixtureTest obj's underlying member method code with example usage: obj.testShapes() without return types