code: def test_tpu_is_available(backend_fw):
      with BackendHandler.update_backend(backend_fw) as ivy_backend:
          import tensorflow as tf
  
          try:
              resolver = (
                  tf.distribute.cluster_resolver.TPUClusterResolver()
              )
              tf.config.experimental_connect_to_cluster(resolver)
              tf.tpu.experimental.initialize_tpu_system(resolver)
              tf.config.list_logical_devices("TPU")
              tf.distribute.experimental.TPUStrategy(resolver)
              ground_truth = True
          except ValueError:
              ground_truth = False
  
          assert ivy_backend.tpu_is_available() == ground_truth
  
imports: import io
  import multiprocessing
  import os
  import re
  import shutil
  import sys
  import warnings
  import numpy
  import psutil
  import subprocess
  from hypothesis import strategies, assume
  import ivy
  import ivy_tests.test_ivy.helpers
  import ivy_tests.test_ivy.helpers.globals
  from ivy_tests.test_ivy.helpers import handle_test, BackendHandler
label_desc: Use image node_id 29 for calling a global function with example usage: test_tpu_is_available(backend_fw) without return types