code: def get_action(self, state: np.ndarray, **kwargs) -> int:
      return self.model.get_action(state, **kwargs)
  
imports: from deprecated import deprecated
  import time
  import numpy
  import multiprocessing
  from typing import Callable
  from tensortrade.agents import Agent
  from tensortrade.agents.parallel.parallel_dqn_model import ParallelDQNModel
  from tensortrade.agents.parallel.parallel_dqn_optimizer import ParallelDQNOptimizer
  from tensortrade.agents.parallel.parallel_dqn_trainer import ParallelDQNTrainer
  from tensortrade.agents.parallel.parallel_queue import ParallelQueue
label_desc: Use image node_id 4 for calling the ParallelDQNAgent obj's underlying member method code with example usage: obj.get_action(state) and returns: self