code: def transform(
      self, ac_data: AgentConnectorDataType
  ) -> AgentConnectorDataType:
      d = ac_data.data
      assert (
          type(d) == dict
      ), "Single agent data must be of type Dict[str, TensorStructType]"
  
      if SampleBatch.REWARDS not in d:
          # Nothing to clip. May happen for initial obs.
          return ac_data
  
      if self.sign:
          d[SampleBatch.REWARDS] = np.sign(d[SampleBatch.REWARDS])
      elif self.limit:
          d[SampleBatch.REWARDS] = np.clip(
              d[SampleBatch.REWARDS],
              a_min=-self.limit,
              a_max=self.limit,
          )
      return ac_data
  
file_path: ray/rllib/connectors/agent/clip_reward.py
imports: from typing import Any
  import numpy
  from ray.rllib.connectors.connector import AgentConnector, ConnectorContext
  from ray.rllib.connectors.registry import register_connector
  from ray.rllib.policy.sample_batch import SampleBatch
  from ray.rllib.utils.typing import AgentConnectorDataType
  from ray.util.annotations import PublicAPI
label_desc: Use image node_id 2 for calling the ClipRewardAgentConnector obj's underlying member method code with example usage: obj.transform(ac_data) and returns: ac_data, ac_data