code: def test_rich_progress_bar_refresh_rate_disabled(
      progress_update, tmp_path
  ):
      trainer = Trainer(
          default_root_dir=tmp_path,
          fast_dev_run=4,
          callbacks=RichProgressBar(refresh_rate=0),
      )
      trainer.fit(BoringModel())
      assert progress_update.call_count == 0
  
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 9 for calling a global function with example usage: test_rich_progress_bar_refresh_rate_disabled(progress_update, tmp_path) without return types