code: def testServeASingleGraphExecutionDataObject(self):
      _generate_tfdbg_v2_data(
          self.logdir, tensor_debug_mode="CONCISE_HEALTH"
      )
      run = self._getExactlyOneRun()
      response = self.server.get(
          _ROUTE_PREFIX
          + "/graph_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["graph_executions"], 1)
      graph_exec = data["graph_executions"][0]
      self.assertTrue(graph_exec["op_name"])
      self.assertEqual(graph_exec["output_slot"], 0)
      self.assertTrue(graph_exec["graph_id"])
      self.assertGreaterEqual(len(graph_exec["graph_ids"]), 1)
      self.assertEqual(
          graph_exec["graph_ids"][-1], graph_exec["graph_id"]
      )
      # [tensor_id, element_count, nan_count, neg_inf_count, pos_inf_count].
      self.assertEqual(
          graph_exec["debug_tensor_value"], [4.0, 1.0, 0.0, 0.0, 0.0]
      )
      self.assertEndsWith(
          graph_exec["device_name"], _DEFAULT_DEVICE_SUFFIX
      )
  
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 30 for calling the DebuggerV2PluginTest obj's underlying member method code with example usage: obj.testServeASingleGraphExecutionDataObject() without return types