def __init__(self, constructor):
    """Step environment in a separate process for lock free parallelism.

    The environment will be created in the external process by calling the
    specified callable. This can be an environment class, or a function
    creating the environment and potentially wrapping it. The returned
    environment should not access global variables.

    Args:
      constructor: Callable that creates and returns an OpenAI gym environment.

    Attributes:
      observation_space: The cached observation space of the environment.
      action_space: The cached action space of the environment.
    """
    self._conn, conn = multiprocessing.Pipe()
    self._process = multiprocessing.Process(
        target=self._worker, args=(constructor, conn))
    atexit.register(self.close)
    self._process.start()
    self._observ_space = None
    self._action_space = None
def __init__ ( self , constructor ) : self . _conn , conn = multiprocessing . Pipe ( ) self . _process = multiprocessing . Process ( target = self . _worker , args = ( constructor , conn ) ) atexit . register ( self . close ) self . _process . start ( ) self . _observ_space = None self . _action_space = None
Step environment in a separate process for lock free parallelism.

    The environment will be created in the external process by calling the
    specified callable. This can be an environment class, or a function
    creating the environment and potentially wrapping it. The returned
    environment should not access global variables.

    Args:
      constructor: Callable that creates and returns an OpenAI gym environment.

    Attributes:
      observation_space: The cached observation space of the environment.
      action_space: The cached action space of the environment.