code: def test_fabric_attributes():
      module = BoringModel()
      optimizer = module.configure_optimizers()[0][0]
  
      assert module.fabric is None
  
      fabric = Fabric()
      wrapped_module, wrapped_optimizer = fabric.setup(
          module, optimizer
      )
      assert wrapped_module.fabric is fabric
      assert wrapped_module._fabric_optimizers == [wrapped_optimizer]
  
      # Attribute access on LightningModule.trainer gets redirected to Fabric
      assert isinstance(wrapped_module.trainer, _TrainerFabricShim)
      assert wrapped_module.trainer.global_rank == 0
      with pytest.raises(
          AttributeError,
          match="Your LightningModule code tried to access `self.trainer.current_epoch`",
      ):
          _ = wrapped_module.trainer.current_epoch
  
      assert wrapped_module.optimizers() == wrapped_optimizer
  
imports: import sys
  import weakref
  from unittest.mock import Mock
  import pytest
  import torch
  from lightning.fabric import Fabric
  from lightning.fabric.utilities.imports import _TORCH_GREATER_EQUAL_1_13, _TORCH_GREATER_EQUAL_2_0
  from lightning.pytorch import LightningModule, Trainer
  from lightning.pytorch.core.module import _TrainerFabricShim
  from lightning.pytorch.demos.boring_classes import BoringModel
  from lightning.pytorch.loggers import TensorBoardLogger
  from lightning.pytorch.utilities.exceptions import MisconfigurationException
  from torch import nn
  from torch.optim import SGD, Adam
  from tests_pytorch.helpers.runif import RunIf
label_desc: Use image node_id 19 for calling a global function with example usage: test_fabric_attributes() without return types