code: def testLogProbAfterSlice(self):
      samples = np.random.randn(6, 5, 4)
      dist = empirical.Empirical(
          samples=samples, event_ndims=1, validate_args=True
      )
      self.assertAllEqual((6,), dist.batch_shape)
      self.assertAllEqual((4,), dist.event_shape)
      sliced_dist = dist[:, tf.newaxis]
      samples = self.evaluate(dist.sample(seed=test_util.test_seed()))
      self.assertAllEqual((6, 4), samples.shape)
      lp, sliced_lp = self.evaluate(
          [
              dist.log_prob(samples),
              sliced_dist.log_prob(samples[:, tf.newaxis]),
          ]
      )
      self.assertAllEqual(lp[:, tf.newaxis], sliced_lp)
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import empirical
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 11 for calling the EmpiricalNdTest obj's underlying member method code with example usage: obj.testLogProbAfterSlice() without return types