code: def testDocstrSliceExample(self):
      # batch shape [3, 5, 7, 9]
      cb = continuous_bernoulli.ContinuousBernoulli(
          logits=tf.zeros([3, 5, 7, 9]), validate_args=True
      )
      self.assertAllEqual((3, 5, 7, 9), cb.batch_shape)
      cb2 = cb[
          :, tf.newaxis, ..., -2:, 1::2
      ]  # batch shape [3, 1, 5, 2, 4]
      self.assertAllEqual((3, 1, 5, 2, 4), cb2.batch_shape)
  
imports: import numpy
  from scipy import special
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import continuous_bernoulli
  from tensorflow_probability.python.distributions import kullback_leibler
  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 7 for calling the ContinuousBernoulliSlicingTest obj's underlying member method code with example usage: obj.testDocstrSliceExample() without return types