code: def rename_key(dct, old, new):
      val = dct.pop(old)
      dct[new] = val
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/src/transformers/models/beit/convert_beit_unilm_to_pytorch.py
imports: import argparse
  import json
  from pathlib import Path
  import torch
  from datasets import load_dataset
  from PIL import Image
  import requests
  from huggingface_hub import hf_hub_download
  from transformers import BeitConfig, BeitFeatureExtractor, BeitForImageClassification, BeitForMaskedImageModeling, BeitForSemanticSegmentation
  from transformers.image_utils import PILImageResampling
  from transformers.utils import logging
label_desc: Use image node_id 3 for calling a global function with example usage: rename_key(dct, old, new) without return types