code: def test_hetero_data_rename():
      data = HeteroData()
      data["paper"].x = x_paper
      data["author"].x = x_author
      data["paper", "paper"].edge_index = edge_index_paper_paper
      data["paper", "author"].edge_index = edge_index_paper_author
      data["author", "paper"].edge_index = edge_index_author_paper
  
      data = data.rename("paper", "article")
      assert data.node_types == ["author", "article"]
      assert data.edge_types == [
          ("article", "to", "article"),
          ("article", "to", "author"),
          ("author", "to", "article"),
      ]
  
      assert data["article"].x.tolist() == x_paper.tolist()
      edge_index = data["article", "article"].edge_index
      assert edge_index.tolist() == edge_index_paper_paper.tolist()
  
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 5 for calling a global function with example usage: test_hetero_data_rename() without return types