code: def _random_forward(self, batch, **kwargs):
      obs_batch_size = len(tree.flatten(batch[SampleBatch.OBS])[0])
      actions = [
          self.config.action_space.sample()
          for _ in range(obs_batch_size)
      ]
      return {SampleBatch.ACTIONS: actions}
  
file_path: ray/python/ray/rllib/examples/rl_module/random_rl_module.py
imports: from typing import Mapping, Any
  from ray.rllib.core.rl_module import RLModule
  from ray.rllib.policy.sample_batch import SampleBatch
  import tree
  import pathlib
  import gymnasium
label_desc: Use image node_id 1 for calling the RandomRLModule obj's underlying member method code with example usage: obj._random_forward(batch) and returns: dict