class_docstr: Vectorized environment that runs multiple environments in parallel.
  
  It uses ``multiprocessing`` processes, and pipes for communication.
  
  Example::
  
      >>> import gym
      >>> env = gym.vector.AsyncVectorEnv([
      ...     lambda: gym.make("Pendulum-v0", g=9.81),
      ...     lambda: gym.make("Pendulum-v0", g=1.62)
      ... ])
      >>> env.reset()
      array([[-0.8286432 ,  0.5597771 ,  0.90249056],
             [-0.85009176,  0.5266346 ,  0.60007906]], dtype=float32)
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docstr: Send the calls to :obj:`step` to each sub-environment.
  
  Args:
      actions: Batch of actions. element of :attr:`~VectorEnv.action_space`
  
  Raises:
      ClosedEnvironmentError: If the environment was closed (if :meth:`close` was previously called).
      AlreadyPendingCallError: If the environment is already waiting for a pending call to another
          method (e.g. :meth:`reset_async`). This can be caused by two consecutive
          calls to :meth:`step_async`, with no call to :meth:`step_wait` in
          between.
docstr_tok: ["Send","the","calls","to",":","obj",":","`","step","`","to","each","sub-environment",".","Args",":","actions",":","Batch","of","actions",".","element","of",":","attr",":","`","~VectorEnv.action_space","`","Raises",":","ClosedEnvironmentError",":","If","the","environment","was","closed","(","if",":","meth",":","`","close","`","was","previously","called",")",".","AlreadyPendingCallError",":","If","the","environment","is","already","waiting","for","a","pending","call","to","another","method","(","e.g",".",":","meth",":","`","reset_async","`",")",".","This","can","be","caused","by","two","consecutive","calls","to",":","meth",":","`","step_async","`",",","with","no","call","to",":","meth",":","`","step_wait","`","in","between","."]
code: def step_async(self, actions: np.ndarray):
      """Send the calls to :obj:`step` to each sub-environment.
  
      Args:
          actions: Batch of actions. element of :attr:`~VectorEnv.action_space`
  
      Raises:
          ClosedEnvironmentError: If the environment was closed (if :meth:`close` was previously called).
          AlreadyPendingCallError: If the environment is already waiting for a pending call to another
              method (e.g. :meth:`reset_async`). This can be caused by two consecutive
              calls to :meth:`step_async`, with no call to :meth:`step_wait` in
              between.
      """
      self._assert_is_running()
      if self._state != AsyncState.DEFAULT:
          raise AlreadyPendingCallError(
              f"Calling `step_async` while waiting for a pending call to `{self._state.value}` to complete.",
              self._state.value,
          )
  
      actions = iterate(self.action_space, actions)
      for pipe, action in zip(self.parent_pipes, actions):
          pipe.send(("step", action))
      self._state = AsyncState.WAITING_STEP
  
imports: import multiprocessing
  import sys
  import time
  from copy import deepcopy
  from enum import Enum
  from typing import List, Optional, Sequence, Tuple, Union
  import numpy
  import gym
  from gym import logger
  from gym.core import ObsType
  from gym.error import AlreadyPendingCallError, ClosedEnvironmentError, CustomSpaceError, NoAsyncCallError
  from gym.vector.utils import CloudpickleWrapper, clear_mpi_env_vars, concatenate, create_empty_array, create_shared_memory, iterate, read_from_shared_memory, write_to_shared_memory
  from gym.vector.vector_env import VectorEnv
label_desc: Use image node_id 4 for calling the AsyncVectorEnv obj's underlying member method code with example usage: obj.step_async(actions) without return types