code: def testSlicingGeneral(self):
      d = independent.Independent(
          bernoulli.Bernoulli(logits=tf.zeros([5, 6])),
          validate_args=True,
      )
      self.assertAllEqual([5], d.batch_shape)
      self.assertAllEqual([6], d.event_shape)
      self.assertAllEqual([1, 5], d[tf.newaxis].batch_shape)
      self.assertAllEqual([6], d[tf.newaxis].event_shape)
  
      d = independent.Independent(
          bernoulli.Bernoulli(logits=tf.zeros([4, 5, 6])),
          validate_args=True,
      )
      self.assertAllEqual([4], d.batch_shape)
      self.assertAllEqual([5, 6], d.event_shape)
      self.assertAllEqual([1, 3], d[tf.newaxis, ..., :3].batch_shape)
      self.assertAllEqual([5, 6], d[tf.newaxis, ..., :3].event_shape)
  
      d = independent.Independent(
          bernoulli.Bernoulli(logits=tf.zeros([4, 5, 6])),
          reinterpreted_batch_ndims=1,
          validate_args=True,
      )
      self.assertAllEqual([4, 5], d.batch_shape)
      self.assertAllEqual([6], d.event_shape)
      self.assertAllEqual([1, 4, 3], d[tf.newaxis, ..., :3].batch_shape)
      self.assertAllEqual([6], d[tf.newaxis, ..., :3].event_shape)
  
imports: import functools
  import os
  from absl.testing import parameterized
  import numpy
  from scipy import stats
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import bernoulli
  from tensorflow_probability.python.distributions import exponential
  from tensorflow_probability.python.distributions import independent
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import log_prob_ratio
  from tensorflow_probability.python.distributions import logistic
  from tensorflow_probability.python.distributions import lognormal
  from tensorflow_probability.python.distributions import mvn_diag
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.distributions import poisson
  from tensorflow_probability.python.internal import hypothesis_testlib
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 16 for calling the IndependentDistributionTest obj's underlying member method code with example usage: obj.testSlicingGeneral() without return types