code: def __init__(self, ctx: ConnectorContext, states: Any = None):
      super().__init__(ctx)
  
      self._initial_states = ctx.initial_states
      self._action_space_struct = get_base_struct_from_space(
          ctx.action_space
      )
  
      self._states = defaultdict(
          lambda: defaultdict(lambda: (None, None, None))
      )
      self._enable_new_api_stack = ctx.config.get(
          "_enable_new_api_stack", False
      )
      # TODO(jungong) : we would not need this if policies are never stashed
      # during the rollout of a single episode.
      if states:
          try:
              self._states = cloudpickle.loads(states)
          except pickle.UnpicklingError:
              # StateBufferConnector states are only needed for rare cases
              # like stashing then restoring a policy during the rollout of
              # a single episode.
              # It is ok to ignore the error for most of the cases here.
              logger.info(
                  "Can not restore StateBufferConnector states. This warning can "
                  "usually be ignore, unless it is from restoring a stashed policy."
              )
  
imports: from collections import defaultdict
  import logging
  import pickle
  from typing import Any
  import numpy
  from ray.rllib.utils.annotations import override
  import tree
  from ray.rllib.connectors.connector import AgentConnector, Connector, ConnectorContext
  from ray import cloudpickle
  from ray.rllib.connectors.registry import register_connector
  from ray.rllib.policy.sample_batch import SampleBatch
  from ray.rllib.core.models.base import STATE_OUT
  from ray.rllib.utils.spaces.space_utils import get_base_struct_from_space
  from ray.rllib.utils.typing import ActionConnectorDataType, AgentConnectorDataType
  from ray.util.annotations import PublicAPI
label_desc: Use image node_id 1 to create a new StateBufferConnector object from inherited base classes: AgentConnector with example: obj = StateBufferConnector(ctx, states)