code: def testNumAcceleratorsMultiDeviceSuccess(
      self, mock_list_devices, mock_eager_list_devices
  ):
      devices = [
          context.LogicalDevice(
              "/job:worker/task:0/device:TPU:0", "TPU"
          ),
          context.LogicalDevice(
              "/job:worker/task:0/device:TPU:1", "TPU"
          ),
          context.LogicalDevice(
              "/job:worker/task:0/device:TPU:2", "TPU"
          ),
          context.LogicalDevice(
              "/job:worker/task:0/device:TPU:3", "TPU"
          ),
          context.LogicalDevice(
              "/job:worker/task:0/device:GPU:0", "GPU"
          ),
          context.LogicalDevice(
              "/job:worker/task:0/device:GPU:1", "GPU"
          ),
          context.LogicalDevice(
              "/job:worker/task:0/device:GPU:2", "GPU"
          ),
          context.LogicalDevice(
              "/job:worker/task:0/device:GPU:3", "GPU"
          ),
      ]
      device_list = [
          session._DeviceAttributes(d.name, d.device_type, 1024, 0)
          for d in devices
      ]
      mock_eager_list_devices.return_value = devices
      mock_list_devices.return_value = device_list
  
      resolver = MockBaseClusterResolver()
      self.assertEqual(
          resolver.num_accelerators(), {"TPU": 4, "GPU": 4}
      )
  
imports: from tensorflow.python.client import session
  from tensorflow.python.distribute.cluster_resolver import cluster_resolver
  from tensorflow.python.eager import context
  from tensorflow.python.framework import config
  from tensorflow.python.framework import test_util
  from tensorflow.python.platform import test
  from tensorflow.python.training import server_lib
label_desc: Use image node_id 2 for calling the BaseClusterResolverTest obj's underlying member method code with example usage: obj.testNumAcceleratorsMultiDeviceSuccess(mock_list_devices, mock_eager_list_devices) without return types