code: def agent_2_obs(self):
      if self.one_hot_state_encoding:
          return np.concatenate([self.state, [2]])
      else:
          return np.flatnonzero(self.state)[0] + 3
  
file_path: ray/python/ray/rllib/examples/env/two_step_game.py
imports: from gymnasium.spaces import Dict, Discrete, MultiDiscrete, Tuple
  import numpy
  from ray.rllib.env.multi_agent_env import MultiAgentEnv, ENV_STATE
label_desc: Use image node_id 6 for calling the TwoStepGame obj's underlying member method code with example usage: obj.agent_2_obs() and returns: np, unknown