code: def _init_tpu_system(self):
      self.resolver = tpu_cluster_resolver.TPUClusterResolver(
          tpu=FLAGS.tpu, zone=FLAGS.zone, project=FLAGS.project
      )
      if hasattr(self.resolver, "_cloud_tpu_client"):
          self.resolver._cloud_tpu_client.configure_tpu_version(
              version="nightly", restart_type="always"
          )
      remote.connect_to_cluster(self.resolver)
      return tpu_cluster_resolver.initialize_tpu_system(self.resolver)
  
imports: import os
  from typing import Tuple
  from absl import flags
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.distribute import tpu_strategy
  from tensorflow.python.distribute.cluster_resolver import tpu_cluster_resolver
  from tensorflow.python.eager import remote
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_math_ops
  from tensorflow.python.ops import init_ops_v2
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.platform import test
  from tensorflow.python.tpu import tpu_embedding_v2
  from tensorflow.python.tpu import tpu_embedding_v2_utils
  from tensorflow.python.util import nest
label_desc: Use image node_id 3 for calling the TPUEmbeddingBaseTest obj's underlying member method code with example usage: obj._init_tpu_system() and returns: tpu_cluster_resolver