code: def testMultipleActionsRaiseError(self):
      action_spec = [
          tensor_spec.BoundedTensorSpec([], tf.int32, 0, 1)
      ] * 2
      with self.assertRaisesRegexp(ValueError, "Only scalar actions"):
          q_policy.QPolicy(
              self._time_step_spec, 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 3 for calling the QPolicyTest obj's underlying member method code with example usage: obj.testMultipleActionsRaiseError() without return types