code: def setUp(self):
      super(PyTFPolicyTest, self).setUp()
      self._obs_spec = tensor_spec.TensorSpec([2], tf.float32, "obs")
      self._time_step_spec = ts.time_step_spec(self._obs_spec)
      self._action_spec = tensor_spec.BoundedTensorSpec(
          [], tf.int32, 0, 1, "action"
      )
      self._float_action_spec = tensor_spec.BoundedTensorSpec(
          [1], tf.float32, 0, 1, "action"
      )
      self._tf_policy = q_policy.QPolicy(
          self._time_step_spec, self._action_spec, q_network=DummyNet()
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  from absl import flags
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tf_agents.networks import network
  from tf_agents.policies import actor_policy
  from tf_agents.policies import ou_noise_policy
  from tf_agents.policies import py_tf_policy
  from tf_agents.policies import q_policy
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import time_step
  from tf_agents.utils import test_utils
label_desc: Use image node_id 1 for calling the PyTFPolicyTest obj's underlying member method code with example usage: obj.setUp() without return types