code: def step(self, observation, **kwargs):
      # DQN doesn't use RNNs so we ignore states and masks
      kwargs.pop("S", None)
      kwargs.pop("M", None)
      return self._act([observation], **kwargs), None, None, None
  
imports: import os
  import tempfile
  import tensorflow
  import zipfile
  import cloudpickle
  import numpy
  import baselines.common.tf_util
  from baselines.common.tf_util import load_variables, save_variables
  from baselines import logger
  from baselines.common.schedules import LinearSchedule
  from baselines.common import set_global_seeds
  from baselines import deepq
  from baselines.deepq.replay_buffer import ReplayBuffer, PrioritizedReplayBuffer
  from baselines.deepq.utils import ObservationInput
  from baselines.common.tf_util import get_session
  from baselines.deepq.models import build_q_func
label_desc: Use image node_id 4 for calling the ActWrapper obj's underlying member method code with example usage: obj.step(observation) and returns: self,  None,  None,  None