code: def test_pad_repr():
      pad_str = (
          "Pad(max_num_nodes=10, max_num_edges=15, "
          "node_pad_value=UniformPadding(value=3.0), "
          "edge_pad_value=UniformPadding(value=1.5))"
      )
      assert str(eval(pad_str)) == pad_str
  
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 12 for calling a global function with example usage: test_pad_repr() without return types