code: def test_hooks_with_different_argument_names(tmpdir):
      """Test that argument names can be anything in the hooks."""
  
      class CustomBoringModel(BoringModel):
          def assert_args(self, x, batch_nb):
              assert isinstance(x, Tensor)
              assert x.size() == (1, 32)
              assert isinstance(batch_nb, int)
  
          def training_step(self, x1, batch_nb1):
              self.assert_args(x1, batch_nb1)
              return super().training_step(x1, batch_nb1)
  
          def validation_step(self, x2, batch_nb2):
              self.assert_args(x2, batch_nb2)
              return super().validation_step(x2, batch_nb2)
  
          # we don't support a different name for `dataloader_idx`
          def test_step(self, x3, batch_nb3, dataloader_idx):
              self.assert_args(x3, batch_nb3)
              assert isinstance(dataloader_idx, int)
              return super().test_step(x3, batch_nb3)
  
          # we don't support a different name for `dataloader_idx`
          def predict_step(self, x4, batch_nb4, dataloader_idx):
              self.assert_args(x4, batch_nb4)
              assert isinstance(dataloader_idx, int)
              return super().predict_step(x4, batch_nb4, dataloader_idx)
  
          def test_dataloader(self):
              return [
                  DataLoader(RandomDataset(32, 64)),
                  DataLoader(RandomDataset(32, 64)),
              ]
  
          def predict_dataloader(self):
              return [
                  DataLoader(RandomDataset(32, 64)),
                  DataLoader(RandomDataset(32, 64)),
              ]
  
      model = CustomBoringModel()
  
      trainer = Trainer(default_root_dir=tmpdir, fast_dev_run=5)
  
      trainer.fit(model)
      trainer.test(model)
  
      preds = trainer.predict(model)
      assert len(preds) == 2
      assert all(len(x) == 5 for x in preds)
  
imports: from functools import partial, update_wrapper
  from inspect import getmembers, isfunction
  from unittest import mock
  from unittest.mock import ANY, PropertyMock
  import pytest
  import torch
  from lightning.fabric.utilities.imports import _TORCH_GREATER_EQUAL_2_0
  from lightning.pytorch import Callback, LightningDataModule, LightningModule, Trainer, __version__
  from lightning.pytorch.demos.boring_classes import BoringDataModule, BoringModel, RandomDataset
  from lightning.pytorch.utilities.model_helpers import is_overridden
  from torch import Tensor
  from torch.utils.data import DataLoader
  from tests_pytorch.helpers.runif import RunIf
label_desc: Use image node_id 11 for calling a global function with example usage: test_hooks_with_different_argument_names(tmpdir) and returns: super, super, super, super, list, list