code: def _get_test_file_and_buffer(
      tmpdir, ref_buffer, cuda_device, index=0
  ):
      file_suffix = f"{dist.get_rank()}_{index}"
      test_file = os.path.join(
          tmpdir, f"_aio_write_random_{file_suffix}.pt"
      )
      if cuda_device:
          test_buffer = torch.cuda.ByteTensor(list(ref_buffer))
      else:
          test_buffer = torch.ByteTensor(list(ref_buffer)).pin_memory()
  
      return test_file, test_buffer
  
imports: import pytest
  import os
  import filecmp
  import torch
  import deepspeed
  import deepspeed.comm
  from deepspeed.ops.aio import AsyncIOBuilder
  from unit.common import DistributedTest
label_desc: Use image node_id 2 for calling a global function with example usage: _get_test_file_and_buffer(tmpdir, ref_buffer, cuda_device, index) and returns: test_file,  test_buffer