code: def __init__(self, action_spec, name=None, num_actions=2):
      super(DummyNetWithActionSpec, self).__init__(name, num_actions)
      self._action_spec = action_spec
  
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 1 to create a new DummyNetWithActionSpec object from inherited base classes: DummyNet with example: obj = DummyNetWithActionSpec(action_spec, name, num_actions)