code: def test_uniform_padding():
      pad_val = 10.0
      p = UniformPadding(pad_val)
      assert p.get_value() == pad_val
      assert p.get_value("v1", "x") == pad_val
  
      p = UniformPadding()
      assert p.get_value() == 0.0
  
      with pytest.raises(ValueError, match="to be an integer or float"):
          UniformPadding("")
  
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 25 for calling a global function with example usage: test_uniform_padding() without return types