def test_hdbscan_centroids_medoids():
centers = [(0.0, 0.0), (3.0, 3.0)]
H, y = make_blobs(n_samples=1000, random_state=0, centers=centers, cluster_std=0.5)
clusterer = HDBSCAN().fit(H)
for idx, center in enumerate(centers):
centroid = clusterer.weighted_cluster_centroid(idx)
assert_array_almost_equal(centroid, center, decimal=1)
medoid = clusterer.weighted_cluster_medoid(idx)
assert_array_almost_equal(medoid, center, decimal=1)
