code: def test_get_torchrun_args_distributed(self) -> None:
      number_of_processes = 5
      (
          master_addr,
          master_port,
          rank,
      ) = self._get_env_variables_distributed()
      expected_torchrun_args_distributed = [
          f"--nnodes={number_of_processes}",
          f"--node_rank={rank}",
          f"--rdzv_endpoint={master_addr}:{master_port}",
          "--rdzv_id=0",
      ]
      (
          torchrun_args_distributed,
          process_per_node,
      ) = DeepspeedTorchDistributor._get_torchrun_args(
          False, number_of_processes
      )
      self.assertEqual(
          torchrun_args_distributed, expected_torchrun_args_distributed
      )
      self.assertEqual(process_per_node, 1)
  
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 4 for calling the DeepspeedTorchDistributorUnitTests obj's underlying member method code with example usage: obj.test_get_torchrun_args_distributed() without return types