code: def test_action_spec(self):
      action_spec = tensor_spec.BoundedTensorSpec((1,), tf.int32, 0, 4)
      env = _build_test_env(action_spec=action_spec)
      wrapper = tf_wrappers.OneHotActionWrapper(env)
      expected_action_spec = tensor_spec.BoundedTensorSpec(
          shape=(1, 5),
          dtype=tf.int32,
          minimum=0,
          maximum=1,
          name="one_hot_action_spec",
      )
      self.assertEqual(expected_action_spec, wrapper.action_spec())
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing.absltest import mock
  import tensorflow
  from tf_agents.environments import random_tf_environment
  from tf_agents.environments import tf_wrappers
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import time_step
  from tf_agents.utils import test_utils
label_desc: Use image node_id 1 for calling the OneHotActionWrapperTest obj's underlying member method code with example usage: obj.test_action_spec() without return types