code: def test_attr_name_padding_invalid():
      with pytest.raises(ValueError, match="to be a dictionary"):
          AttrNamePadding(10.0)
  
      with pytest.raises(ValueError, match="to be a string"):
          AttrNamePadding({10: 10.0})
  
      with pytest.raises(ValueError, match="to be of type"):
          AttrNamePadding({"x": {}})
  
      with pytest.raises(ValueError, match="to be of type"):
          AttrNamePadding({"x": {}})
  
      node_type_padding = NodeTypePadding({"x": 10.0})
      with pytest.raises(ValueError, match="to be of type"):
          AttrNamePadding({"x": node_type_padding})
  
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 27 for calling a global function with example usage: test_attr_name_padding_invalid() without return types