code: def testPrunes(self):
      converter = data_converter.AsTransition(
          self._data_context, squeeze_time_dim=True
      )
      my_spec = self._data_context.transition_spec.replace(
          action_step=self._data_context.transition_spec.action_step.replace(
              action={
                  "action1": tf.TensorSpec((), tf.float32),
                  "action2": tf.TensorSpec([4], tf.int32),
              }
          )
      )
      transition = tensor_spec.sample_spec_nest(my_spec, outer_dims=[2])
      converted = converter(transition)
      expected = tf.nest.map_structure(lambda x: x, transition)
      del expected.action_step.action["action2"]
      (expected, converted) = self.evaluate((expected, converted))
      tf.nest.map_structure(self.assertAllEqual, converted, expected)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow.compat.v2
  from tf_agents.agents import data_converter
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import time_step
  from tf_agents.trajectories import trajectory
  from tf_agents.utils import test_utils
label_desc: Use image node_id 3 for calling the AsTransitionTest obj's underlying member method code with example usage: obj.testPrunes() without return types