code: def test_rich_progress_bar_callback():
      trainer = Trainer(callbacks=RichProgressBar())
  
      progress_bars = [
          c for c in trainer.callbacks if isinstance(c, ProgressBar)
      ]
  
      assert len(progress_bars) == 1
      assert isinstance(trainer.progress_bar_callback, RichProgressBar)
  
imports: import pickle
  from collections import defaultdict
  from unittest import mock
  from unittest.mock import DEFAULT, Mock
  import pytest
  from lightning.pytorch import Trainer
  from lightning.pytorch.callbacks import ProgressBar, RichProgressBar
  from lightning.pytorch.callbacks.progress.rich_progress import RichProgressBarTheme
  from lightning.pytorch.demos.boring_classes import BoringModel, RandomDataset, RandomIterableDataset
  from lightning.pytorch.loggers import CSVLogger
  from lightning.pytorch.loggers.logger import DummyLogger
  from tests_pytorch.helpers.runif import RunIf
  from torch.utils.data import DataLoader
label_desc: Use image node_id 1 for calling a global function with example usage: test_rich_progress_bar_callback() without return types