code: def test_xla_precision(precision, expected_dtype):
      fabric = Fabric(devices=1, precision=precision)
      assert isinstance(fabric._precision, XLAPrecision)
      fabric.launch(_run_xla_precision, expected_dtype=expected_dtype)
  
file_path: pytorch-lightning/tests/tests_fabric/plugins/precision/test_xla_integration.py
imports: import os
  from unittest import mock
  import pytest
  import torch
  import torch.nn
  from lightning.fabric import Fabric
  from lightning.fabric.plugins import XLAPrecision
  from tests_fabric.helpers.runif import RunIf
label_desc: Use image node_id 2 for calling a global function with example usage: test_xla_precision(precision, expected_dtype) without return types