code: def load_json(path):
      with open(path) as f:
          return json.load(f)
  
imports: import dataclasses
  import io
  import itertools
  import json
  import os
  import unittest
  from copy import deepcopy
  from functools import partial
  import datasets
  from parameterized import parameterized
  import tests.trainer.test_trainer
  from tests.trainer.test_trainer import TrainerIntegrationCommon
  from transformers import AutoModel, TrainingArguments, is_torch_available, logging
  from transformers.integrations.deepspeed import HfDeepSpeedConfig, is_deepspeed_available, unset_hf_deepspeed_config
  from transformers.testing_utils import CaptureLogger, CaptureStd, CaptureStderr, LoggingLevel, TestCasePlus, backend_device_count, execute_subprocess_async, mockenv_context, require_deepspeed, require_optuna, require_torch_accelerator, require_torch_multi_accelerator, slow, torch_device
  from transformers.trainer_utils import get_last_checkpoint, set_seed
  from transformers.utils import SAFE_WEIGHTS_NAME, is_torch_bf16_available_on_device
label_desc: Use image node_id 1 for calling a global function with example usage: load_json(path) and returns: json