def test_knn_subgraph_constant_setter():
subgraph = knn.KNNSubgraph(X, Y)
try:
subgraph.constant = 'a'
except:
subgraph.constant = 2.5
assert subgraph.constant == 2.5
def test_knn_subgraph_min_density_setter():
subgraph = knn.KNNSubgraph(X, Y)
try:
subgraph.min_density = 'a'
except:
subgraph.min_density = 2.5
assert subgraph.min_density == 2.5
def test_knn_subgraph_create_arcs():
subgraph = knn.KNNSubgraph(X, Y)
distances = np.ones((100, 100))
distances.fill(0.000001)
subgraph.create_arcs(1,
distance.euclidean_distance,
pre_computed_distance=True,
pre_distances=distances)
max_distances = subgraph.create_arcs(1, distance.euclidean_distance)
assert len(max_distances) == 1
def test_knn_subgraph_best_k_setter():
subgraph = knn.KNNSubgraph(X, Y)
try:
subgraph.best_k = 0.5
except:
subgraph.best_k = 1
assert subgraph.best_k == 1
try:
subgraph.best_k = -1
except:
subgraph.best_k = 1
assert subgraph.best_k == 1
def test_knn_subgraph_n_clusters_setter():
subgraph = knn.KNNSubgraph(X, Y)
try:
subgraph.n_clusters = 0.5
except:
subgraph.n_clusters = 1
assert subgraph.n_clusters == 1
try:
subgraph.n_clusters = -1
except:
subgraph.n_clusters = 1
assert subgraph.n_clusters == 1
def test_knn_subgraph_calculate_pdf():
subgraph = knn.KNNSubgraph(X, Y)
distances = np.ones((100, 100))
subgraph.create_arcs(1,
distance.euclidean_distance,
pre_computed_distance=True,
pre_distances=distances)
subgraph.calculate_pdf(1,
distance.euclidean_distance,
pre_computed_distance=True,
pre_distances=distances)
subgraph.create_arcs(1, distance.euclidean_distance)
subgraph.calculate_pdf(1, distance.euclidean_distance)
assert subgraph.min_density != 0
assert subgraph.max_density != 0
def test_knn_subgraph_min_density():
subgraph = knn.KNNSubgraph(X, Y)
assert subgraph.min_density == 0.0
def test_knn_subgraph_constant():
subgraph = knn.KNNSubgraph(X, Y)
assert subgraph.constant == 0.0
def test_knn_subgraph_best_k():
subgraph = knn.KNNSubgraph(X, Y)
assert subgraph.best_k == 0
def test_knn_subgraph_eliminate_maxima_height():
subgraph = knn.KNNSubgraph(X, Y)
subgraph.eliminate_maxima_height(2.5)
assert subgraph.nodes[0].cost == 0
def test_knn_subgraph_n_clusters():
subgraph = knn.KNNSubgraph(X, Y)
assert subgraph.n_clusters == 0
