code: def test_hetero_data_set_value_dict():
      data = HeteroData()
      data.set_value_dict(
          "x",
          {
              "paper": torch.randn(4, 16),
              "author": torch.randn(8, 32),
          },
      )
      assert data.node_types == ["paper", "author"]
      assert data.edge_types == []
      assert data["paper"].x.size() == (4, 16)
      assert data["author"].x.size() == (8, 32)
  
imports: import copy
  import pytest
  import torch
  from torch_geometric.data import HeteroData
  from torch_geometric.data.storage import EdgeStorage
  from torch_geometric.testing import get_random_edge_index, get_random_tensor_frame, withPackage
  from torch_geometric.typing import TensorFrame
label_desc: Use image node_id 4 for calling a global function with example usage: test_hetero_data_set_value_dict() without return types