code: def setUpClass(cls) -> None:
      (
          cls.gpu_discovery_script_file_name,
          cls.mnist_dir_path,
      ) = set_up_test_dirs()  # noqa
      # "loadDefaults" is set to False because if not, the SparkConf will
      # use contain configurations from the LocalEndToEnd test,
      # which causes the test to break.
      conf = SparkConf(loadDefaults=False)
      for k, v in get_distributed_mode_conf().items():
          conf = conf.set(k, v)
      conf = conf.set(
          "spark.worker.resource.gpu.discoveryScript",
          cls.gpu_discovery_script_file_name,
      )
      sc = SparkContext(
          "local-cluster[2,2,512]", cls.__name__, conf=conf
      )
      cls.spark = SparkSession(sc)
  
imports: from contextlib import contextmanager
  import os
  import shutil
  import sys
  import textwrap
  from typing import Any, Callable, Dict, Tuple
  import unittest
  from pyspark import SparkConf, SparkContext
  from pyspark.ml.deepspeed.deepspeed_distributor import DeepspeedTorchDistributor
  from pyspark.sql import SparkSession
  from pyspark.ml.torch.tests.test_distributor import get_local_mode_conf, set_up_test_dirs, get_distributed_mode_conf
label_desc: Use image node_id 1 for calling the DeepspeedTorchDistributorDistributedEndToEnd obj's underlying member method code with example usage: obj.setUpClass(cls) without return types