code: def _get_obs(self, obs):
      return one_hot(obs, depth=self.observation_space.shape[0])
  
imports: from collections import defaultdict
  from functools import partial
  from typing import List, Tuple
  import gymnasium
  import numpy
  import tree
  from ray.rllib.algorithms.algorithm_config import AlgorithmConfig
  from ray.rllib.core.models.base import STATE_IN, STATE_OUT
  from ray.rllib.env.env_runner import EnvRunner
  from ray.rllib.env.wrappers.atari_wrappers import NoopResetEnv, MaxAndSkipEnv
  from ray.rllib.env.wrappers.dm_control_wrapper import DMCEnv
  from ray.rllib.env.utils import _gym_env_creator
  from ray.rllib.evaluation.metrics import RolloutMetrics
  from ray.rllib.policy.sample_batch import DEFAULT_POLICY_ID, SampleBatch
  from ray.rllib.utils.annotations import override
  from ray.rllib.utils.framework import try_import_tf
  from ray.rllib.env.single_agent_episode import SingleAgentEpisode
  from ray.rllib.utils.numpy import one_hot
  from ray.tune.registry import ENV_CREATOR, _global_registry
label_desc: Use image node_id 4 for calling the OneHot obj's underlying member method code with example usage: obj._get_obs(obs) and returns: one_hot