code: def import_from_string(dotted_path):
      """
      Import a dotted module path and return the attribute/class designated by the
      last name in the path. Raise ImportError if the import failed.
      """
      try:
          module_path, class_name = dotted_path.rsplit(".", 1)
      except ValueError:
          msg = "%s doesn't look like a module path" % dotted_path
          raise ImportError(msg)
  
      try:
          module = importlib.import_module(dotted_path)
      except Exception:
          module = importlib.import_module(module_path)
  
      try:
          return getattr(module, class_name)
      except AttributeError:
          msg = 'Module "%s" does not define a "%s" attribute/class' % (
              module_path,
              class_name,
          )
          raise ImportError(msg)
  
imports: import functools
  import requests
  from torch import Tensor, device
  from typing import List, Callable
  from tqdm.autonotebook import tqdm
  import sys
  import importlib
  import os
  import torch
  import numpy
  import queue
  import logging
  from typing import Dict, Optional, Union
  from huggingface_hub import snapshot_download, hf_hub_download
  import heapq
label_desc: Use image node_id 14 for calling a global function with example usage: import_from_string(dotted_path) and returns: getattr