code: def _configure_progress_bar(
      self, enable_progress_bar: bool = True
  ) -> None:
      progress_bars = [
          c
          for c in self.trainer.callbacks
          if isinstance(c, ProgressBar)
      ]
      if len(progress_bars) > 1:
          raise MisconfigurationException(
              "You added multiple progress bar callbacks to the Trainer, but currently only one"
              " progress bar is supported."
          )
      if len(progress_bars) == 1:
          # the user specified the progress bar in the callbacks list
          # so the trainer doesn't need to provide a default one
          if enable_progress_bar:
              return
  
          # otherwise the user specified a progress bar callback but also
          # elected to disable the progress bar with the trainer flag
          progress_bar_callback = progress_bars[0]
          raise MisconfigurationException(
              "Trainer was configured with `enable_progress_bar=False`"
              f" but found `{progress_bar_callback.__class__.__name__}` in callbacks list."
          )
  
      if enable_progress_bar:
          progress_bar_callback = TQDMProgressBar()
          self.trainer.callbacks.append(progress_bar_callback)
  
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 5 for calling the _CallbackConnector obj's underlying member method code with example usage: obj._configure_progress_bar(enable_progress_bar) without return types