code: def testTrainAgentWithLaplacianSmoothingInvalidMatrix(
      self, agent_class, use_num_samples_list
  ):
      if tf.executing_eagerly:
          return
  
      observations = np.array([[1, 2], [3, 4]], dtype=np.float32)
      actions = np.array([0, 1], dtype=np.int32)
      rewards = np.array([0.5, 3.0], dtype=np.float32)
      initial_step, final_step = _get_initial_and_final_steps(
          observations, rewards
      )
      action_step = _get_action_step(actions)
      experience = _get_experience(
          initial_step, action_step, final_step
      )
  
      with self.assertRaisesRegex(tf.errors.InvalidArgumentError, ""):
          reward_net = DummyNet(
              self._observation_spec, self._action_spec
          )
          optimizer = tf.compat.v1.train.GradientDescentOptimizer(
              learning_rate=0.1
          )
          # Set the Laplacian matrix to be the identity, which is not a valid
          # Laplacian.
          laplacian_matrix = tf.eye(3)
          if use_num_samples_list:
              agent_class = functools.partial(
                  agent_class, num_samples_list=self._num_samples_list
              )
          agent = agent_class(
              self._time_step_spec,
              self._action_spec,
              reward_network=reward_net,
              optimizer=optimizer,
              laplacian_matrix=laplacian_matrix,
              laplacian_smoothing_weight=1.0,
          )
          self.evaluate(tf.compat.v1.initialize_all_variables())
          loss_before, _ = agent.train(experience, None)
          self.evaluate(loss_before)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import functools
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tf_agents.bandits.agents import greedy_reward_prediction_agent
  from tf_agents.bandits.agents import neural_boltzmann_agent
  from tf_agents.bandits.agents import neural_epsilon_greedy_agent
  from tf_agents.bandits.agents import neural_falcon_agent
  from tf_agents.bandits.drivers import driver_utils
  from tf_agents.bandits.networks import global_and_arm_feature_network
  from tf_agents.bandits.policies import constraints
  from tf_agents.bandits.specs import utils
  from tf_agents.networks import network
  from tf_agents.policies import utils
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import policy_step
  from tf_agents.trajectories import time_step
  from tf_agents.utils import common
label_desc: Use image node_id 12 for calling the AgentTest obj's underlying member method code with example usage: obj.testTrainAgentWithLaplacianSmoothingInvalidMatrix(agent_class, use_num_samples_list) without return types