code: def train_post_transforms(self, context: Context):
      return [
          Activationsd(keys="pred", sigmoid=True),
          AsDiscreted(keys="pred", threshold=0.5),
      ]
  
imports: import logging
  from typing import Callable, Union
  import numpy
  import torch
  from monai.apps.deepgrow.transforms import AddRandomGuidanced, FindDiscrepancyRegionsd
  from monai.handlers import MeanDice, from_engine
  from monai.handlers.ignite_metric import IgniteMetric
  from monai.inferers import SimpleInferer
  from monai.losses import DiceLoss
  from monai.metrics import MeanIoU
  from monai.transforms import Activationsd, AsDiscreted, EnsureChannelFirstd, EnsureTyped, LoadImaged, RandRotated, RandZoomd, Resized, ScaleIntensityRangeD, SelectItemsd, ToNumpyd, TorchVisiond, ToTensord
  from monai.utils import MetricReduction
  from monailabel.deepedit.handlers import TensorBoard2DImageHandler
  from monailabel.deepedit.interaction import Interaction
  from monailabel.deepedit.transforms import AddGuidanceSignald, AddInitialSeedPointd
  from monailabel.tasks.train.basic_train import BasicTrainTask, Context
  from monailabel.transform.pre import NormalizeLabeld
label_desc: Use image node_id 7 for calling the DeepEdit obj's underlying member method code with example usage: obj.train_post_transforms(context) and returns: list