class_docstr: Wraps the vectorized environment to allow a modular transformation.
  
  This class is the base class for all wrappers for vectorized environments. The subclass
  could override some methods to change the behavior of the original vectorized environment
  without touching the original code.
  
  Notes:
      Don't forget to call ``super().__init__(env)`` if the subclass overrides :meth:`__init__`.
code: def close(self, **kwargs):
      return self.env.close(**kwargs)
  
imports: from typing import Any, List, Optional, Tuple, Union
  import numpy
  import gym
  from gym.vector.utils.spaces import batch_space
label_desc: Use image node_id 6 for calling the VectorEnvWrapper obj's underlying member method code with example usage: obj.close() and returns: self