def test_create_blended_map():
P1 = np.random.uniform(0.0, 1.0, (4,4))
P2 = np.random.uniform(0.0, 1.0, (4,4))
labels1 = np.array([0, 1, 2, 3])
labels2 = np.array([2, 3, 4, 5])
map1 = mapalgo.create_map("map1", P1, labels=labels1)
map2 = mapalgo.create_map("map2", P2, labels=labels2)
blend = mapalgo.create_blended_map("blend", [map1, map2], [0.5, 0.5])
def test_create_map_with_prior():
P1 = np.random.uniform(0.0, 1.0, (4,4))
P2 = np.random.uniform(0.0, 1.0, (4,4))
m1 = mapalgo.create_map("map1", P1)
m2 = mapalgo.create_map("map2", P2, prior=m1)
print(m1)
print(m2)
def test_create_map_incomplete_prior():
P1 = np.random.uniform(0.0, 1.0, (4,4))
P1[:,0] = 0.0
P1[0,:] = 0.0
P2 = np.random.uniform(0.0, 1.0, (4,4))
m1 = mapalgo.create_map("map1", P1)
m2 = mapalgo.create_map("map2", P2, prior=m1)
print(m1)
print(m2)
def test_create_map_unif():
P = np.ones((3,3)) - np.eye(3)
m = mapalgo.create_map("test", P)
print(m.y)
def test_create_map_zeros():
P = np.ones((4,4)) - np.eye(4)
P[:,0] = 0.0
P[0,:] = 0.0
m = mapalgo.create_map("test", P)
print(m.y)