code: def test_elliptic_bitcoin_dataset(get_dataset):
      dataset = get_dataset(name="EllipticBitcoinDataset")
      assert str(dataset) == "EllipticBitcoinDataset()"
      assert len(dataset) == 1
      assert dataset.num_features == 165
      assert dataset.num_classes == 2
  
      data = dataset[0]
      assert len(data) == 5
      assert data.x.size() == (203769, 165)
      assert data.edge_index.size() == (2, 234355)
      assert data.y.size() == (203769,)
  
      assert data.train_mask.size() == (203769,)
      assert data.train_mask.sum() > 0
      assert data.test_mask.size() == (203769,)
      assert data.test_mask.sum() > 0
      assert (
          data.train_mask.sum() + data.test_mask.sum() == 4545 + 42019
      )
      assert data.y[data.train_mask].sum() == 3462
      assert data.y[data.test_mask].sum() == 1083
      assert (
          data.y[data.train_mask].sum() + data.y[data.test_mask].sum()
          == 4545
      )
      assert data.y[data.test_mask | data.train_mask].min() == 0
      assert data.y[data.test_mask | data.train_mask].max() == 1
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_elliptic_bitcoin_dataset(get_dataset) without return types