code: def testDefaultBijector(self, dist_fn):
      dist = dist_fn()
      bijector = dist.experimental_default_event_space_bijector()
      self.assertEqual(
          dist.loc.shape, dist.batch_shape + dist.event_shape
      )
      self.assertEqual(
          dist.event_shape + (0,),
          bijector.inverse_event_shape(dist.event_shape),
      )
      self.assertEqual(
          dist.loc.shape + (0,),
          bijector.inverse_event_shape(dist.loc.shape),
      )
      null_point = tf.ones(bijector.inverse_event_shape(dist.loc.shape))
      self.assertAllEqual(
          tf.zeros([]),
          bijector.forward_log_det_jacobian(
              null_point, tensorshape_util.rank(null_point.shape)
          ),
      )
      self.assertAllEqual(dist.loc, bijector(null_point))
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import deterministic
  from tensorflow_probability.python.distributions import gamma
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import mvn_diag
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 21 for calling the VectorDeterministicTest obj's underlying member method code with example usage: obj.testDefaultBijector(dist_fn) without return types