code: def _maybe_subprocess_run(self, args, *, isolate, cwd=None):
      if not isolate:
          assert len(args) >= 2, args
          assert args[0] == "python3", args
          if args[1] == "-c":
              assert len(args) == 3, args
              code = args[2]
              args = ["-c"]
          else:
              assert len(args) >= 2, args
              with open(args[1]) as f:
                  code = f.read()
              args = args[1:]
  
          # WARNING: This is not a perfect simulation of running
          # the program out of tree.  We only interpose on things we KNOW we
          # need to handle for tests.  If you need more stuff, you will
          # need to augment this appropriately.
  
          # NB: Can't use save_config because that will omit some fields,
          # but we must save and reset ALL fields
          dynamo_config = torch._dynamo.config.shallow_copy_dict()
          inductor_config = torch._inductor.config.shallow_copy_dict()
          try:
              stderr = io.StringIO()
              log_handler = logging.StreamHandler(stderr)
              log = logging.getLogger("torch._dynamo")
              log.addHandler(log_handler)
              try:
                  prev_cwd = os.getcwd()
                  if cwd is not None:
                      os.chdir(cwd)
                  with patch(
                      "sys.argv", args
                  ), report_compile_source_on_error():
                      exec(
                          code,
                          {
                              "__name__": "__main__",
                              "__compile_source__": code,
                          },
                      )
                  rc = 0
              except Exception:
                  rc = 1
                  traceback.print_exc(file=stderr)
              finally:
                  log.removeHandler(log_handler)
                  if cwd is not None:
                      os.chdir(prev_cwd)
                  # Make sure we don't leave buggy compiled frames lying
                  # around
                  torch._dynamo.reset()
          finally:
              torch._dynamo.config.load_config(dynamo_config)
              torch._inductor.config.load_config(inductor_config)
  
          # TODO: return a more appropriate data structure here
          return subprocess.CompletedProcess(
              args,
              rc,
              b"",
              stderr.getvalue().encode("utf-8"),
          )
      else:
          return subprocess.run(
              args, capture_output=True, cwd=cwd, check=False
          )
  
imports: import dataclasses
  import io
  import logging
  import os
  import re
  import shutil
  import subprocess
  import sys
  import tempfile
  import traceback
  from typing import Optional
  from unittest.mock import patch
  import torch
  import torch._dynamo
  import torch._dynamo.test_case
  from torch.utils._traceback import report_compile_source_on_error
label_desc: Use image node_id 4 for calling the MinifierTestBase obj's underlying member method code with example usage: obj._maybe_subprocess_run(args) and returns: subprocess, subprocess