code: def test_default_event_space_bijector_shape(self):
      dist = uniform.Uniform(
          low=[1.0, 2.0, 3.0, 6.0], high=10.0, validate_args=True
      )
      batch_shape = [2, 2, 1]
      reshape_dist = batch_reshape.BatchReshape(
          dist, batch_shape=batch_shape, validate_args=True
      )
      x = self.evaluate(
          dist.experimental_default_event_space_bijector()(
              10.0 * tf.ones(dist.batch_shape)
          )
      )
      x_reshape = self.evaluate(
          reshape_dist.experimental_default_event_space_bijector()(
              10.0 * tf.ones(reshape_dist.batch_shape)
          )
      )
      self.assertAllEqual(tf.reshape(x, batch_shape), x_reshape)
  
imports: import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import bijector_test_util
  from tensorflow_probability.python.distributions import batch_reshape
  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.distributions import triangular
  from tensorflow_probability.python.distributions import uniform
  from tensorflow_probability.python.distributions import wishart
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.util.deferred_tensor import DeferredTensor
label_desc: Use image node_id 16 for calling the _BatchReshapeTest obj's underlying member method code with example usage: obj.test_default_event_space_bijector_shape() without return types