class_docstr: Base class for vectorized environments. Runs multiple independent copies of the same environment in parallel.
  
  This is not the same as 1 environment that has multiple subcomponents, but it is many copies of the same base env.
  
  Each observation returned from vectorized environment is a batch of observations for each parallel environment.
  And :meth:`step` is also expected to receive a batch of actions for each parallel environment.
  
  Notes:
      All parallel environments should share the identical observation and action spaces.
      In other words, a vector of multiple different environments is not supported.
docstr: Get a property from each parallel environment.
  
  Args:
      name (str): Name of the property to be get from each individual environment.
  
  Returns:
      The property with name
code: def get_attr(self, name: str):
      """Get a property from each parallel environment.
  
      Args:
          name (str): Name of the property to be get from each individual environment.
  
      Returns:
          The property with name
      """
      return self.call(name)
  
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 11 for calling the VectorEnv obj's underlying member method code with example usage: obj.get_attr(name) and returns: self