code: def load(path, *, create_file=False) -> "FailuresDict":
      if create_file and not os.path.exists(path):
          result = FailuresDict(path, {})
          FailuresDict.save()
          return result
      with open(path) as fp:
          contents = fp.read()
          if contents.strip() == "":
              dct = {
                  "_description": DESCRIPTION,
                  "data": {},
                  "_version": VERSION,
              }
          else:
              dct = json.loads(contents)
              assert "data" in dct
              assert "_version" in dct and dct["_version"] == VERSION
      return FailuresDict(path, dct["data"])
  
imports: import datetime
  import difflib
  import functools
  import inspect
  import json
  import os
  import re
  import tempfile
  import threading
  import unittest
  from typing import Any, Callable, Dict, List, Optional, Tuple, Union
  import torch
  import torch._dynamo
  import torch.utils._pytree
  from torch._dynamo.utils import clone_input
  from torch._subclasses.schema_check_mode import SchemaCheckMode
  from torch._utils_internal import get_file_path_2
  from torch.overrides import TorchFunctionMode
  from torch.testing._internal.optests import aot_autograd_check, autograd_registration_check, fake_check
label_desc: Use image node_id 2 for calling the FailuresDict obj's underlying member method code with example usage: obj.load(path) and returns: FailuresDict, result