code: def setUp(self):
      super(FalconRewardPredictionPolicyTest, self).setUp()
      self._obs_spec = tensor_spec.TensorSpec([2], tf.float32)
      self._time_step_spec = ts.time_step_spec(self._obs_spec)
      self._action_spec = tensor_spec.BoundedTensorSpec(
          (), tf.int32, 0, 2
      )
      self._time_step_with_mask_spec = ts.time_step_spec(
          (self._obs_spec, tensor_spec.TensorSpec([3], tf.int32))
      )
  
imports: from typing import List, Optional, Set
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tf_agents.bandits.policies import falcon_reward_prediction_policy
  from tf_agents.networks import network
  from tf_agents.policies import utils
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import time_step
  from tf_agents.utils import test_utils
  from tensorflow.python.framework import test_util
label_desc: Use image node_id 2 for calling the FalconRewardPredictionPolicyTest obj's underlying member method code with example usage: obj.setUp() without return types