code: def testServeASingleExecutionDataObject(self):
      _generate_tfdbg_v2_data(
          self.logdir, tensor_debug_mode="CONCISE_HEALTH"
      )
      run = self._getExactlyOneRun()
      response = self.server.get(
          _ROUTE_PREFIX + "/execution/data?run=%s&begin=0&end=1" % run
      )
      self.assertEqual(200, response.status_code)
      self.assertEqual(
          "application/json", response.headers.get("content-type")
      )
      data = json.loads(response.get_data())
      self.assertEqual(data["begin"], 0)
      self.assertEqual(data["end"], 1)
      self.assertLen(data["executions"], 1)
      execution = data["executions"][0]
      self.assertStartsWith(
          execution["op_type"], "__inference_my_function_"
      )
      self.assertLen(execution["output_tensor_device_ids"], 1)
      self.assertEqual(execution["host_name"], _HOST_NAME)
      self.assertTrue(execution["stack_frame_ids"])
      self.assertLen(execution["input_tensor_ids"], 1)
      self.assertLen(execution["output_tensor_ids"], 1)
      self.assertTrue(execution["graph_id"])
      # CONCISE_HEALTH mode:
      #   [[Unused tensor ID, #(elements), #(-inf), #(+inf), #(nan)]].
      self.assertEqual(execution["tensor_debug_mode"], 3)
      self.assertAllClose(
          execution["debug_tensor_values"], [[-1.0, 1.0, 0.0, 0.0, 0.0]]
      )
  
imports: import collections
  import json
  import os
  import socket
  import threading
  import tensorflow
  from werkzeug import test
  from werkzeug import wrappers
  from tensorboard.backend import application
  from tensorboard.plugins import base_plugin
  from tensorboard.plugins.debugger_v2 import debug_data_multiplexer
  from tensorboard.plugins.debugger_v2 import debugger_v2_plugin
label_desc: Use image node_id 24 for calling the DebuggerV2PluginTest obj's underlying member method code with example usage: obj.testServeASingleExecutionDataObject() without return types