code: def __getitem__(self, idx):
      return torch.tensor(
          self.x[idx], dtype=self._x_type
      ), torch.tensor(self.y[idx], dtype=self._y_type)
  
imports: import logging
  import os
  import random
  import time
  import urllib.request
  from typing import Optional, Sequence, Tuple
  import torch
  from torch import Tensor
  from torch.utils.data import Dataset
label_desc: Use image node_id 2 for calling the SklearnDataset obj's underlying member method code with example usage: obj.__getitem__(idx) and returns: torch,  torch