code: def setUp(self):
      super().setUp()
      self.logdir = self.get_temp_dir()
      context = base_plugin.TBContext(logdir=self.logdir)
      self.plugin = debugger_v2_plugin.DebuggerV2Plugin(context)
      wsgi_app = application.TensorBoardWSGI([self.plugin])
      self.server = werkzeug_test.Client(wsgi_app, wrappers.Response)
  
      # The multiplexer reads data asynchronously on a separate thread, so
      # as not to block the main thread of the TensorBoard backend. During
      # unit test, we disable the asynchronous behavior, so that we can
      # load the debugger data synchronously on the main thread and get
      # determinisic behavior in the tests.
      def run_repeatedly_in_background_mock(target, interval_sec):
          del interval_sec  # Unused in this mock.
          target()
          return None, None
  
      self.run_in_background_patch = (
          tf.compat.v1.test.mock.patch.object(
              debug_data_multiplexer,
              "run_repeatedly_in_background",
              run_repeatedly_in_background_mock,
          )
      )
      self.run_in_background_patch.start()
  
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 1 for calling the DebuggerV2PluginTest obj's underlying member method code with example usage: obj.setUp() and returns: None,  None