code: def _configure_timer_callback(
      self,
      max_time: Optional[Union[str, timedelta, Dict[str, int]]] = None,
  ) -> None:
      if max_time is None:
          return
      if any(isinstance(cb, Timer) for cb in self.trainer.callbacks):
          rank_zero_info(
              "Ignoring `Trainer(max_time=...)`, callbacks list already contains a Timer."
          )
          return
      timer = Timer(duration=max_time, interval="step")
      self.trainer.callbacks.append(timer)
  
imports: import logging
  import os
  from datetime import timedelta
  from typing import Dict, List, Optional, Sequence, Union
  import lightning.pytorch
  from lightning.fabric.utilities.registry import _load_external_callbacks
  from lightning.pytorch.callbacks import Callback, Checkpoint, ModelCheckpoint, ModelSummary, ProgressBar, RichProgressBar, TQDMProgressBar
  from lightning.pytorch.callbacks.batch_size_finder import BatchSizeFinder
  from lightning.pytorch.callbacks.lr_finder import LearningRateFinder
  from lightning.pytorch.callbacks.rich_model_summary import RichModelSummary
  from lightning.pytorch.callbacks.timer import Timer
  from lightning.pytorch.trainer import call
  from lightning.pytorch.utilities.exceptions import MisconfigurationException
  from lightning.pytorch.utilities.model_helpers import is_overridden
  from lightning.pytorch.utilities.rank_zero import rank_zero_info
label_desc: Use image node_id 6 for calling the _CallbackConnector obj's underlying member method code with example usage: obj._configure_timer_callback(max_time) without return types