code: def test_edge_padding_invalid():
      with pytest.raises(ValueError, match="to be a tuple"):
          EdgeTypePadding({"v1": 10.0})
  
      with pytest.raises(ValueError, match="got 1"):
          EdgeTypePadding({("v1",): 10.0})
  
      with pytest.raises(ValueError, match="got 2"):
          EdgeTypePadding({("v1", "v2"): 10.0})
  
      with pytest.raises(ValueError, match="got 4"):
          EdgeTypePadding({("v1", "e2", "v1", "v2"): 10.0})
  
imports: import numbers
  from typing import Dict, Generator, List, Optional, Tuple, Union
  import pytest
  import torch
  from torch_geometric.data import Data, HeteroData
  from torch_geometric.datasets import FakeDataset, FakeHeteroDataset
  from torch_geometric.transforms import Pad
  from torch_geometric.transforms.pad import AttrNamePadding, EdgeTypePadding, NodeTypePadding, Padding, UniformPadding
  from torch_geometric.typing import EdgeType, NodeType
label_desc: Use image node_id 29 for calling a global function with example usage: test_edge_padding_invalid() without return types