code: def training_step(self, batch, batch_idx):
      self.seen_train_batches.append(batch)
      should_signal = (
          self.trainer.fit_loop.epoch_loop._is_training_done
          if self.on_last_batch
          else batch_idx == 2
      )
      if (
          self.failure_on_step
          and self.failure_on_training
          and should_signal
      ):
          self._signal()
      return super().training_step(batch, batch_idx)
  
imports: import inspect
  import pytest
  from lightning.fabric.utilities.seed import seed_everything
  from lightning.pytorch import Callback, Trainer
  from lightning.pytorch.callbacks import OnExceptionCheckpoint
  from lightning.pytorch.demos.boring_classes import BoringModel, RandomDataset
  from lightning.pytorch.utilities.exceptions import SIGTERMException
  from torch.utils.data.dataloader import DataLoader
  from tests_pytorch.helpers.runif import RunIf
label_desc: Use image node_id 3 for calling the TestAutoRestartModelUnderSignal obj's underlying member method code with example usage: obj.training_step(batch, batch_idx) and returns: super