class_docstr: A randomly acting environment that publishes an action-mask each step.
code: def reset(self, *, seed=None, options=None):
      obs, info = super().reset()
      self._fix_action_mask(obs)
      return obs, info
  
file_path: ray/rllib/examples/env/action_mask_env.py
imports: from gymnasium.spaces import Box, Dict, Discrete
  import numpy
  from ray.rllib.examples.env.random_env import RandomEnv
label_desc: Use image node_id 2 for calling the ActionMaskEnv obj's underlying member method code with example usage: obj.reset() and returns: obs,  info