class_docstr: An abstract asynchronous, vectorized environment.
docstr: Wait for the step taken with step_async().
  Returns (obs, rews, dones, infos):
   - obs: an array of observations, or a tuple of
          arrays of observations.
   - rews: an array of rewards
   - dones: an array of "episode done" booleans
   - infos: a sequence of info objects
docstr_tok: ["Wait","for","the","step","taken","with","step_async","(",")",".","Returns","(","obs",",","rews",",","dones",",","infos",")",":","-","obs",":","an","array","of","observations",",","or","a","tuple","of","arrays","of","observations",".","-","rews",":","an","array","of","rewards","-","dones",":","an","array","of","``","episode","done","''","booleans","-","infos",":","a","sequence","of","info","objects"]
code: def step_wait(self):
      """
      Wait for the step taken with step_async().
      Returns (obs, rews, dones, infos):
       - obs: an array of observations, or a tuple of
              arrays of observations.
       - rews: an array of rewards
       - dones: an array of "episode done" booleans
       - infos: a sequence of info objects
      """
      raise NotImplementedError()
  
file_path: keras-rl/rl/common/vec_env/__init__.py
label_desc: Use image node_id 4 for calling the VecEnv obj's underlying member method code with example usage: obj.step_wait() without return types