class_docstr: This replay buffer implements a FIFO queue.
  
  Sometimes, e.g. for offline use cases, it may be desirable to use
  off-policy algorithms without a Replay Buffer.
  This FifoReplayBuffer can be used in-place to achieve the same effect
  without having to introduce separate algorithm execution branches.
  
  For simplicity and efficiency reasons, this replay buffer stores incoming
  sample batches as-is, and returns them one at time.
  This is to avoid any additional load when this replay buffer is used.
docstr: Returns all local state.
  
  Returns:
      The serializable local state.
docstr_tok: ["Returns","all","local","state",".","Returns",":","The","serializable","local","state","."]
code: def get_state(self) -> Dict[str, Any]:
      """Returns all local state.
  
      Returns:
          The serializable local state.
      """
      # Pass through replay buffer does not save states.
      return {}
  
file_path: ray/rllib/utils/replay_buffers/fifo_replay_buffer.py
imports: import numpy
  from typing import Any, Dict, Optional
  from ray.rllib.policy.sample_batch import MultiAgentBatch
  from ray.rllib.utils.annotations import override
  from ray.rllib.utils.replay_buffers.replay_buffer import ReplayBuffer, StorageUnit
  from ray.rllib.utils.typing import SampleBatchType
  from ray.util.annotations import DeveloperAPI
label_desc: Use image node_id 6 for calling the FifoReplayBuffer obj's underlying member method code with example usage: obj.get_state() and returns: dict