code: def test_in_memory_dataset():
      x1 = torch.tensor([[1.0], [1.0], [1.0]])
      x2 = torch.tensor([[2.0], [2.0], [2.0]])
      edge_index = torch.tensor([[0, 1, 1, 2], [1, 0, 2, 1]])
      face = torch.tensor([[0], [1], [2]])
  
      data1 = Data(x1, edge_index, face=face, test_int=1, test_str="1")
      data1.num_nodes = 10
  
      data2 = Data(x2, edge_index, face=face, test_int=2, test_str="2")
      data2.num_nodes = 5
  
      dataset = MyTestDataset([data1, data2])
      assert str(dataset) == "MyTestDataset(2)"
      assert len(dataset) == 2
  
      assert len(dataset[0]) == 6
      assert dataset[0].num_nodes == 10
      assert dataset[0].x.tolist() == x1.tolist()
      assert dataset[0].edge_index.tolist() == edge_index.tolist()
      assert dataset[0].face.tolist() == face.tolist()
      assert dataset[0].test_int == 1
      assert dataset[0].test_str == "1"
  
      assert len(dataset[1]) == 6
      assert dataset[1].num_nodes == 5
      assert dataset[1].x.tolist() == x2.tolist()
      assert dataset[1].edge_index.tolist() == edge_index.tolist()
      assert dataset[1].face.tolist() == face.tolist()
      assert dataset[1].test_int == 2
      assert dataset[1].test_str == "2"
  
      with pytest.warns(UserWarning, match="internal storage format"):
          dataset.data
  
      assert torch.equal(dataset.x, torch.cat([x1, x2], dim=0))
      assert dataset.edge_index.tolist() == [
          [0, 1, 1, 2, 10, 11, 11, 12],
          [1, 0, 2, 1, 11, 10, 12, 11],
      ]
      assert torch.equal(dataset[1:].x, x2)
  
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 for calling a global function with example usage: test_in_memory_dataset() without return types