code: def testGetDeviceDictAndCoresWithTPUs(self):
      devices = [
          "/job:tpu_worker/task:0/device:TPU:0",
          "/job:tpu_worker/task:1/device:TPU:1",
          "/job:tpu_worker/task:2/device:TPU:0",
          "/job:tpu_worker/task:3/device:TPU:1",
          "/job:tpu_worker/task:0/device:TPU:4",
          "/job:tpu_worker/task:1/device:TPU:5",
          "/job:tpu_worker/task:2/device:TPU:4",
          "/job:tpu_worker/task:3/device:TPU:5",
      ]
      device_list = [
          session._DeviceAttributes(name, "TPU", 1024, 0)
          for name in devices
      ]
  
      device_details = (
          resolver.TPUClusterResolver._get_device_dict_and_cores(
              device_list
          )
      )
      self.assertEqual(device_details.total_cores, 8)
      self.assertEqual(
          device_details.device_map,
          {
              "0": ["0", "4"],
              "1": ["1", "5"],
              "2": ["0", "4"],
              "3": ["1", "5"],
          },
      )
  
imports: import os
  import six
  from six.moves.urllib.error import URLError
  from tensorflow.core.protobuf.tpu import topology_pb2
  from tensorflow.python.client import session
  from tensorflow.python.distribute.cluster_resolver.tpu import tpu_cluster_resolver
  from tensorflow.python.eager import context
  from tensorflow.python.framework import config
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import test_util
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.training import server_lib
  from tensorflow.python.util import compat
label_desc: Use image node_id 24 for calling the TPUClusterResolverTest obj's underlying member method code with example usage: obj.testGetDeviceDictAndCoresWithTPUs() without return types