code: def init_trainers(self) -> Dict[str, TrainTask]:
      trainers: Dict[str, TrainTask] = {}
      if strtobool(self.conf.get("skip_trainers", "false")):
          return trainers
      #################################################
      # Models
      #################################################
      for n, task_config in self.models.items():
          t = task_config.trainer()
          if not t:
              continue
  
          logger.info(f"+++ Adding Trainer:: {n} => {t}")
          trainers[n] = t
  
      #################################################
      # Bundle Models
      #################################################
      if self.bundles:
          for n, b in self.bundles.items():
              t = BundleTrainTask(b, self.conf)
              if not t or not t.is_valid():
                  continue
  
              logger.info(f"+++ Adding Bundle Trainer:: {n} => {t}")
              trainers[n] = t
  
      return trainers
  
imports: import json
  import logging
  import os
  from typing import Dict
  import lib.configs
  from lib.activelearning import Last
  from lib.infers.deepgrow_pipeline import InferDeepgrowPipeline
  from lib.infers.vertebra_pipeline import InferVertebraPipeline
  import monailabel
  from monailabel.interfaces.app import MONAILabelApp
  from monailabel.interfaces.config import TaskConfig
  from monailabel.interfaces.datastore import Datastore
  from monailabel.interfaces.tasks.infer_v2 import InferTask
  from monailabel.interfaces.tasks.scoring import ScoringMethod
  from monailabel.interfaces.tasks.strategy import Strategy
  from monailabel.interfaces.tasks.train import TrainTask
  from monailabel.scribbles.infer import GMMBasedGraphCut, HistogramBasedGraphCut
  from monailabel.tasks.activelearning.first import First
  from monailabel.tasks.activelearning.random import Random
  from monailabel.tasks.infer.bundle import BundleInferTask
  from monailabel.tasks.train.bundle import BundleTrainTask
  from monailabel.utils.others.class_utils import get_class_names
  from monailabel.utils.others.generic import get_bundle_models, strtobool
  from monailabel.utils.others.planner import HeuristicPlanner
label_desc: Use image node_id 4 for calling the MyApp obj's underlying member method code with example usage: obj.init_trainers() and returns: trainers, trainers