code: def setUp(self):
      self.server = reservation.Server(1)
      self.server_addr = self.server.start()
  
      self.parser = argparse.ArgumentParser()
  
      self.default_fn = lambda args, ctx: print(
          "{}:{} args: {}".format(ctx.job_name, ctx.task_index, args)
      )
      self.job_name = "chief"
      self.task_index = 0
      self.cluster_meta = {
          "id": random.getrandbits(64),
          "cluster_template": {self.job_name: [0]},
          "num_executors": 1,
          "default_fs": "file://",
          "working_dir": ".",
          "server_addr": self.server_addr,
      }
      self.tensorboard = False
      self.log_dir = None
      self.queues = ["input"]
      self.background = False
  
file_path: TensorFlowOnSpark/tests/test_TFSparkNode.py
imports: import argparse
  import os
  import random
  import unittest
  from tensorflowonspark import gpu_info, reservation, TFSparkNode
  from unittest.mock import patch
label_desc: Use image node_id 1 for calling the TFSparkNodeTest obj's underlying member method code with example usage: obj.setUp() without return types