code: def testInitializeAgent(
      self, observation_shape, num_actions, learning_rate
  ):
      time_step_spec = time_step.time_step_spec(
          tensor_spec.TensorSpec(observation_shape, tf.float32)
      )
      action_spec = tensor_spec.BoundedTensorSpec(
          dtype=tf.int32, shape=(), minimum=0, maximum=num_actions - 1
      )
      agent = exp3_agent.Exp3Agent(
          time_step_spec=time_step_spec,
          action_spec=action_spec,
          learning_rate=learning_rate,
      )
      self.evaluate(agent.initialize())
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import numpy
  import tensorflow
  import tensorflow_probability
  from tf_agents.bandits.agents import exp3_agent
  from tf_agents.bandits.drivers import driver_utils
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import policy_step
  from tf_agents.trajectories import time_step
label_desc: Use image node_id 2 for calling the Exp3AgentTest obj's underlying member method code with example usage: obj.testInitializeAgent(observation_shape, num_actions, learning_rate) without return types