import torch from torch_cluster import random_cluster def test_random(): edge_index = torch.LongTensor([[0, 0, 0, 1, 2, 3, 3, 3, 4, 5, 5, 5, 6, 6], [2, 3, 6, 5, 0, 0, 4, 5, 3, 1, 3, 6, 0, 3]]) # edge_attr = torch.Tensor([2, 2, 2, 1, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2]) rid = torch.arange(edge_index.max() + 1, out=edge_index.new()) output = random_cluster(edge_index, rid=rid, perm_edges=False) expected_output = [0, 1, 2, 0, 3, 1, 4] assert output.tolist() == expected_output