code: def __init__(
      self,
      path: str,
      conf: Dict[str, str],
      const: Optional[BundleConstants] = None,
  ):
      super().__init__(path, conf, const, enable_tracking=True)
      self.labels = {
          "Other": 1,
          "Inflammatory": 2,
          "Epithelial": 3,
          "Spindle-Shaped": 4,
      }
      self.tile_size = (256, 256)
  
file_path: MONAILabel/sample-apps/pathology/lib/trainers/classification_nuclei.py
imports: import logging
  import os
  from typing import Dict, Optional
  from lib.utils import split_dataset, split_nuclei_dataset
  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 1 to create a new ClassificationNuclei object from inherited base classes: BundleTrainTask with example: obj = ClassificationNuclei(path, conf, const)