code: def _create_pytorch_training_test_file():
      # Note: when Deepspeed CPU support becomes better,
      # switch in more realistic training files using Deepspeed
      # optimizations + constructs
      str_to_write = textwrap.dedent(
          """ 
              import sys
              def pythagorean_thm(x : int, y: int): # type: ignore 
                  import deepspeed # type: ignore
                  return (x*x + y*y)**0.5 # type: ignore
              print(pythagorean_thm(int(sys.argv[1]), int(sys.argv[2])))"""
      )
      cp_path = "/tmp/test_deepspeed_training_file.py"
      with open(cp_path, "w") as f:
          f.write(str_to_write)
      yield cp_path
      os.remove(cp_path)
  
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 2 for calling a global function with example usage: _create_pytorch_training_test_file() without return types