code: def __init__(
      self,
      data: Optional[Union[List, np.ndarray]] = None,
      lookback: int = 0,
      space: Optional[gym.Space] = None,
  ):
      self.data = data if data is not None else []
      self.lookback = lookback
      self.finalized = not isinstance(self.data, list)
      self.space = space
      self.space_struct = get_base_struct_from_space(self.space)
  
imports: import logging
  from typing import List, Optional, Type, Union
  import gymnasium
  import numpy
  import tree
  from ray.rllib.env.env_context import EnvContext
  from ray.rllib.env.multi_agent_env import MultiAgentEnv
  from ray.rllib.env.wrappers.multi_agent_env_compatibility import MultiAgentEnvCompatibility
  from ray.rllib.utils.error import ERR_MSG_INVALID_ENV_DESCRIPTOR, ERR_MSG_OLD_GYM_API, EnvError
  from ray.rllib.utils.gym import check_old_gym_env
  from ray.rllib.utils.numpy import one_hot, one_hot_multidiscrete
  from ray.rllib.utils.spaces.space_utils import batch, get_dummy_batch_for_space, get_base_struct_from_space
  from ray.util import log_once
  from ray.util.annotations import PublicAPI
label_desc: Use image node_id 1 to create a new BufferWithInfiniteLookback object  with example: obj = BufferWithInfiniteLookback(data, lookback, space)