code: def _load_checkpoint(self, output_dir, pretrained, train_handlers):
      pass
  
imports: import copy
  import logging
  import os
  import pathlib
  from typing import Dict, Optional
  import cv2
  import numpy
  from lib.hovernet import PatchExtractor
  from lib.utils import split_dataset
  from PIL import Image
  from tqdm import tqdm
  from monailabel.interfaces.datastore import Datastore
  from monailabel.tasks.train.bundle import BundleConstants, BundleTrainTask
  from monailabel.utils.others.generic import remove_file
label_desc: Use image node_id 3 for calling the HovernetNuclei obj's underlying member method code with example usage: obj._load_checkpoint(output_dir, pretrained, train_handlers) without return types