code: def testActionWithinBounds(self):
      bounded_action_spec = tensor_spec.BoundedTensorSpec(
          [], tf.int32, minimum=-6, maximum=-5
      )
  
      with self.assertRaisesRegex(ValueError, "minimum of 0"):
          q_policy.QPolicy(
              self._time_step_spec,
              bounded_action_spec,
              q_network=DummyNet(),
          )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import tensorflow
  from tf_agents.networks import network
  from tf_agents.networks import q_network
  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 5 for calling the QPolicyTest obj's underlying member method code with example usage: obj.testActionWithinBounds() without return types