code: def setUp(self):
      super(CategoricalDqnAgentTest, self).setUp()
      tf.compat.v1.enable_resource_variables()
      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, 1
      )
      self._categorical_net = categorical_q_network.CategoricalQNetwork(
          self._obs_spec, self._action_spec, fc_layer_params=[4]
      )
      self._dummy_categorical_net = DummyCategoricalNet(self._obs_spec)
      self._optimizer = tf.compat.v1.train.GradientDescentOptimizer(
          0.01
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import tensorflow
  from tf_agents.agents.categorical_dqn import categorical_dqn_agent
  from tf_agents.networks import categorical_q_network
  from tf_agents.networks import network
  from tf_agents.networks import q_rnn_network
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import policy_step
  from tf_agents.trajectories import test_utils
  from tf_agents.trajectories import time_step
  from tf_agents.trajectories import trajectory
  from tf_agents.utils import common
label_desc: Use image node_id 1 for calling the CategoricalDqnAgentTest obj's underlying member method code with example usage: obj.setUp() without return types