code: def testNumActionsFromTensorSpecGoodSpec(self):
      action_spec = tensor_spec.BoundedTensorSpec(
          dtype=tf.int32, shape=(), minimum=0, maximum=15
      )
      num_actions = policy_utilities.get_num_actions_from_tensor_spec(
          action_spec
      )
      self.assertEqual(num_actions, 16)
  
file_path: agents/tf_agents/bandits/policies/policy_utilities_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import tensorflow
  from tf_agents.policies import utils
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import policy_step
  from tf_agents.utils import test_utils
label_desc: Use image node_id 3 for calling the PolicyUtilitiesTest obj's underlying member method code with example usage: obj.testNumActionsFromTensorSpecGoodSpec() without return types