code: def test_group_distance_ratio():
      x = torch.randn(6, 16)
      y = torch.tensor([0, 1, 0, 1, 1, 1])
  
      assert DiffGroupNorm.group_distance_ratio(x, y) > 0
  
      if is_full_test():
          jit = torch.jit.script(DiffGroupNorm.group_distance_ratio)
          assert jit(x, y) > 0
  
imports: import torch
  from torch_geometric.nn import DiffGroupNorm
  from torch_geometric.testing import is_full_test
label_desc: Use image node_id 2 for calling a global function with example usage: test_group_distance_ratio() without return types