code: def testSliceCopyOverrideNameSliceAgainCopyOverrideLogitsSliceAgain(
      self,
  ):
      seed_stream = test_util.test_seed_stream("slice_bernoulli")
      logits = samplers.normal([20, 3, 2, 5], seed=seed_stream())
      dist = bernoulli.Bernoulli(
          logits=logits, name="b1", validate_args=True
      )
      self.assertIn("b1", dist.name)
      dist = dist[:10].copy(name="b2")
      self.assertAllEqual((10, 3, 2, 5), dist.batch_shape)
      self.assertIn("b2", dist.name)
      dist = dist.copy(name="b3")[..., 1]
      self.assertAllEqual((10, 3, 2), dist.batch_shape)
      self.assertIn("b3", dist.name)
      dist = dist.copy(logits=samplers.normal([2], seed=seed_stream()))
      self.assertAllEqual((2,), dist.batch_shape)
      self.assertIn("b3", dist.name)
  
imports: import numpy
  from scipy import special
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import bernoulli
  from tensorflow_probability.python.distributions import kullback_leibler
  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 6 for calling the BernoulliSlicingTest obj's underlying member method code with example usage: obj.testSliceCopyOverrideNameSliceAgainCopyOverrideLogitsSliceAgain() without return types