code: def test_rich_progress_bar_custom_theme():
      """Test to ensure that custom theme styles are used."""
      with mock.patch.multiple(
          "lightning.pytorch.callbacks.progress.rich_progress",
          CustomBarColumn=DEFAULT,
          BatchesProcessedColumn=DEFAULT,
          CustomTimeColumn=DEFAULT,
          ProcessingSpeedColumn=DEFAULT,
      ) as mocks:
          theme = RichProgressBarTheme()
  
          progress_bar = RichProgressBar(theme=theme)
          progress_bar.on_train_start(Trainer(), BoringModel())
  
          assert progress_bar.theme == theme
          _, kwargs = mocks["CustomBarColumn"].call_args
          assert kwargs["complete_style"] == theme.progress_bar
          assert kwargs["finished_style"] == theme.progress_bar_finished
  
          _, kwargs = mocks["BatchesProcessedColumn"].call_args
          assert kwargs["style"] == theme.batch_progress
  
          _, kwargs = mocks["CustomTimeColumn"].call_args
          assert kwargs["style"] == theme.time
  
          _, kwargs = mocks["ProcessingSpeedColumn"].call_args
          assert kwargs["style"] == theme.processing_speed
  
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 5 for calling a global function with example usage: test_rich_progress_bar_custom_theme() without return types