class_docstr: Example of a custom env in which you have to walk down a corridor.
  
  You can configure the length of the corridor via the env config.
code: def step(self, action):
      assert action in [0, 1], action
      if action == 0 and self.cur_pos > 0:
          self.cur_pos -= 1.0
      elif action == 1:
          self.cur_pos += 1.0
      done = truncated = self.cur_pos >= self.end_pos
      return [self.cur_pos], 1 if done else 0, done, truncated, {}
  
file_path: ray/python/ray/rllib/examples/env/simple_corridor.py
imports: import gymnasium
  from gymnasium.spaces import Box, Discrete
  import numpy
label_desc: Use image node_id 4 for calling the SimpleCorridor obj's underlying member method code with example usage: obj.step(action) and returns: list,  unknown,  done,  truncated,  dict