code: def test_rich_progress_bar_leave(tmp_path, leave, reset_call_count):
      # Calling `reset` means continuing on the same progress bar.
      model = BoringModel()
  
      with mock.patch(
          "lightning.pytorch.callbacks.progress.rich_progress.Progress.reset",
          autospec=True,
      ) as mock_progress_reset:
          progress_bar = RichProgressBar(leave=leave)
          trainer = Trainer(
              default_root_dir=tmp_path,
              num_sanity_val_steps=0,
              limit_train_batches=1,
              limit_val_batches=0,
              max_epochs=4,
              callbacks=progress_bar,
              logger=False,
              enable_checkpointing=False,
              enable_model_summary=False,
          )
          trainer.fit(model)
      assert mock_progress_reset.call_count == reset_call_count
  
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 8 for calling a global function with example usage: test_rich_progress_bar_leave(tmp_path, leave, reset_call_count) without return types