code: def get_use_xla_spmd(device_type):
      """Returns True when device_type is TPU and environment variable is set.
  
      Args:
        device_type: A str representing the type of device on the mesh.
  
      Returns:
        bool: True when device_type is TPU and environment variable is set.
      """
      return device_type == "TPU" and "0" != os.environ.get(
          "DTENSOR_TEST_USE_XLA_SPMD", "0"
      )
  
imports: import collections
  import copy
  import itertools
  import json
  import os
  import typing
  from absl import flags
  from absl.testing import parameterized
  import numpy
  from tensorflow.dtensor.python import accelerator_util
  from tensorflow.dtensor.python import api
  from tensorflow.dtensor.python import config
  from tensorflow.dtensor.python import layout
  from tensorflow.dtensor.python import numpy_util
  from tensorflow.dtensor.python.config import is_gpu_present
  from tensorflow.dtensor.python.config import is_tpu_present
  from tensorflow.dtensor.python.config import preferred_device_type
  from tensorflow.dtensor.python.config import use_multi_device_mode
  from tensorflow.dtensor.python.tests import test_backend_util
  from tensorflow.dtensor.python.tests.test_backend_name import DTENSOR_TEST_UTIL_BACKEND
  from tensorflow.dtensor.python.tests.test_backend_name import DTensorTestUtilBackend
  from tensorflow.dtensor.python.tests.test_backend_util import DTensorTestBackendConfigurator
  from tensorflow.python.compat import v2_compat
  from tensorflow.python.eager import context
  from tensorflow.python.framework import config
  from tensorflow.python.framework import device
  from tensorflow.python.ops import resource_variable_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling a global function with example usage: get_use_xla_spmd(device_type) and returns: unknown