code: def test_xla_strategy_debug_state():
      """Tests if device/debug flag is set correctly when training and after teardown for XLAStrategy."""
      model = BoringModelTPU()
      trainer = Trainer(
          fast_dev_run=True, strategy=XLAStrategy(debug=True)
      )
      assert isinstance(trainer.accelerator, XLAAccelerator)
      assert isinstance(trainer.strategy, XLAStrategy)
      trainer.fit(model)
      assert "PT_XLA_DEBUG" not in os.environ
  
file_path: pytorch-lightning/tests/tests_pytorch/strategies/test_xla.py
imports: import os
  from unittest import mock
  from unittest.mock import Mock
  import torch
  from lightning.pytorch import Trainer
  from lightning.pytorch.accelerators import XLAAccelerator
  from lightning.pytorch.demos.boring_classes import BoringModel
  from lightning.pytorch.strategies import XLAStrategy
  from tests_pytorch.helpers.runif import RunIf
label_desc: Use image node_id 1 for calling a global function with example usage: test_xla_strategy_debug_state() without return types