def test_min_samples(self):
peak_array0 = randint(6, size=(100, 2))
peak_array = np.vstack((peak_array0, [[54, 21], [53, 20], [55, 22]]))
cluster_dict0 = ct._get_cluster_dict(peak_array, min_samples=2)
labels0 = sorted(list(cluster_dict0.keys()))
assert labels0 == [0, 1]
cluster_dict1 = ct._get_cluster_dict(peak_array, min_samples=4)
labels1 = sorted(list(cluster_dict1.keys()))
assert labels1 == [-1, 0]
def test_eps(self):
peak_array0 = randint(6, size=(100, 2)) + 80
peak_array1 = randint(6, size=(100, 2))
peak_array = np.vstack((peak_array0, peak_array1))
cluster_dict0 = ct._get_cluster_dict(peak_array)
assert len(cluster_dict0) == 2
assert len(cluster_dict0[0]) == 100
assert len(cluster_dict0[1]) == 100
cluster_dict1 = ct._get_cluster_dict(peak_array, eps=200)
assert len(cluster_dict1) == 1
assert len(cluster_dict1[0]) == 200
def test_three_clusters(self):
peak_array0 = randint(6, size=(100, 2)) + 80
peak_array1 = randint(6, size=(100, 2))
peak_array = np.vstack((peak_array0, peak_array1, [
[54, 21],
]))
cluster_dict = ct._get_cluster_dict(peak_array, min_samples=2)
labels = sorted(list(cluster_dict.keys()))
assert labels == [-1, 0, 1]
def test_simple(self):
peak_array = randint(100, size=(100, 2))
ct._get_cluster_dict(peak_array)
