How to use the kmapper.cluster.DBSCAN function in kmapper

def test_precomputed(self):
        mapper = KeplerMapper()

        X = np.random.rand(100, 2)
        X_pdist = distance.squareform(distance.pdist(X, metric="euclidean"))

        lens = mapper.fit_transform(X_pdist)

        graph = mapper.map(
            lens,
            X=X_pdist,
            cover=Cover(n_cubes=10, perc_overlap=0.8),
            clusterer=cluster.DBSCAN(metric="precomputed", min_samples=3),
            precomputed=True,
        )
        graph2 = mapper.map(
            lens,
            X=X,
            cover=Cover(n_cubes=10, perc_overlap=0.8),
            clusterer=cluster.DBSCAN(metric="euclidean", min_samples=3),
        )

        assert graph["links"] == graph2["links"]
        assert graph["nodes"] == graph2["nodes"]
        assert graph["simplices"] == graph2["simplices"]