class_docstr: Env in which the observation at timestep minus n must be repeated.
code: def __init__(self, config=None):
      config = config or {}
      if config.get("continuous"):
          self.observation_space = Box(-1.0, 1.0, (2,))
      else:
          self.observation_space = Discrete(2)
  
      self.action_space = self.observation_space
      # Note: Set `repeat_delay` to 0 for simply repeating the seen
      # observation (no delay).
      self.delay = config.get("repeat_delay", 1)
      self.episode_len = config.get("episode_len", 100)
      self.history = []
  
file_path: ray/python/ray/rllib/examples/env/repeat_after_me_env.py
imports: import gymnasium
  from gymnasium.spaces import Box, Discrete
  import numpy
label_desc: Use image node_id 1 to create a new RepeatAfterMeEnv object from inherited base classes: gym with example: obj = RepeatAfterMeEnv(config)