code: def get_asset(*args, dtype=None):
      filename = get_asset_path(*args)
      if not os.path.isfile(filename):
          raise IOError("{} not found".format(filename))
  
      if dtype is None:
          _, dtype = os.path.splitext(filename)
          dtype = dtype[1:]
  
      if dtype == "json":
          with open(filename, "r") as f:
              data = json.load(f)
      else:
          raise NotImplementedError()
      return data
  
imports: import os
  import json
  from torchvision.datasets.utils import _get_confirm_token, _save_response_content
label_desc: Use image node_id 2 for calling a global function with example usage: get_asset() and returns: data