code: def test_rich_progress_bar_padding():
      progress_bar = RichProgressBar()
      trainer = Mock()
      trainer.max_epochs = 1
      progress_bar._trainer = trainer
  
      train_description = progress_bar._get_train_description(
          current_epoch=0
      )
      assert "Epoch 0/0" in train_description
      assert len(progress_bar.validation_description) == len(
          train_description
      )
  
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 17 for calling a global function with example usage: test_rich_progress_bar_padding() without return types