code: def test_lcm_aggregation_without_project():
      x = torch.randn(5, 16)
      index = torch.tensor([0, 1, 1, 2, 2])
  
      aggr = LCMAggregation(16, 16, project=False)
      assert str(aggr) == "LCMAggregation(16, 16, project=False)"
  
      out = aggr(x, index)
      assert out.size() == (3, 16)
  
imports: from itertools import product
  import pytest
  import torch
  from torch_geometric.nn import LCMAggregation
  from torch_geometric.profile import benchmark
label_desc: Use image node_id 2 for calling a global function with example usage: test_lcm_aggregation_without_project() without return types