code: def __init__(
      self,
      task_id,
      data,
      labels,
      categories,
      transform=None,
      target_transform=None,
  ):
      super(TCGATask, self).__init__(
          task_id,
          len(categories),
          transform=transform,
          target_transform=target_transform,
      )
      self.id = task_id
      self.data = data
      self.labels = labels
      self.categories = categories
  
imports: import os
  import json
  import h5py
  import numpy
  import torch
  import copy
  from ordered_set import OrderedSet
  from torchmeta.utils.data import Task, MetaDataset
  from torchmeta.datasets.utils import get_asset
label_desc: Use image node_id 2 to create a new TCGATask object from inherited base classes: Task with example: obj = TCGATask(task_id, data, labels, categories, transform, target_transform)