code: def __init__(self, root, data_list, transform=None):
      self.data_list = data_list
      super().__init__(root, transform=transform)
      self.load(
          self.processed_paths[0], data_cls=data_list[0].__class__
      )
  
imports: import copy
  import pytest
  import torch
  from torch_geometric import EdgeIndex
  from torch_geometric.data import Data, HeteroData, InMemoryDataset
  from torch_geometric.datasets import KarateClub
  from torch_geometric.testing import withPackage
  from torch_geometric.transforms import BaseTransform
  from torch_geometric.typing import SparseTensor
label_desc: Use image node_id 1 to create a new MyStoredTestDataset object from inherited base classes: InMemoryDataset with example: obj = MyStoredTestDataset(root, data_list, transform)