code: def test_pad_auto_edges(data, num_nodes, add_pad_mask):
      transform = Pad(
          max_num_nodes=num_nodes, add_pad_mask=add_pad_mask
      )
  
      out = transform(data)
      _check_data(data, out, num_nodes, is_mask_available=add_pad_mask)
  
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 13 for calling a global function with example usage: test_pad_auto_edges(data, num_nodes, add_pad_mask) without return types