def testconstruct(self):
T = SNT(2, 1, 1, 4)
p1 = Point([0], Euclidean())
p2 = Point([2], Euclidean())
p3 = Point([11], Euclidean())
p4 = Point([28], Euclidean())
print(T.construct([p2, p3, p4, p1], None))
points = [p1, p2, p3, p4]
ver = SNTVerify(T, points)
ver.populate()
self.assertTrue(ver.relativescorrect())
self.assertTrue(ver.issemicompressed())
self.assertTrue(ver.islocalnettree())
def testislocalnettree(self):
T = SNT(2, 1, 1, 4)
p1 = Point([0], Euclidean())
p2 = Point([2], Euclidean())
p3 = Point([11], Euclidean())
p4 = Point([28], Euclidean())
T.setroot(p1)
T.insert(p2, T.root)
T.insert(p3, T.root)
T.insert(p4, [ch for ch in T.root.getchild().ch if ch.point == p3][0])
ver = SNTVerify(T, [p1, p2, p3, p4])
ver.populate()
self.assertTrue(ver.islocalnettree())
p3.coords = [8]
self.assertFalse(ver.islocalnettree())
p3.coords = [17]
self.assertFalse(ver.islocalnettree())
p3.coords = [11]
self.assertTrue(ver.islocalnettree())
n1 = [n for n in ver.uncomplevels[3] if n.point == p1][0]
n1.point = Point([1], Euclidean())
self.assertFalse(ver.islocalnettree())
def testrandom(self):
metric = Euclidean()
points = [Point([random.randint(-10000, 10000) for _ in range(3)], metric) for _ in range(2000)]
tmp = list()
for p in points:
if p in tmp:
print('duplicate:', p)
else:
tmp.append(p)
points = tmp
tau = 5
T = SNT(tau, 1, 1)
print(T.construct(points, None))
ver = SNTVerify(T, points)
ver.populate()
self.assertTrue(ver.relativescorrect())
self.assertTrue(ver.islocalnettree())
self.assertTrue(ver.issemicompressed())
T.cc = tau / (tau - 1)
T.cp = (tau - 3) / (2 * (tau - 1))
self.assertTrue(ver.isglobalnettree())
def testconstructwithverification(self):
points = [
Point([x, 0, 1], Euclidean())
for x in [8, 1, 2, 32, 64, 81, 80, 160]
]
T = SNT(4, 1, 1, 4)
T.construct(points, PL)
ver = SNTVerify(T, points)
ver.populate()
self.assertTrue(ver.relativescorrect())
self.assertTrue(ver.issemicompressed())
self.assertTrue(ver.islocalnettree())
self.assertFalse(ver.isglobalnettree())
T.cc = 4 / 3
T.cp = 1 / 6
self.assertTrue(ver.isglobalnettree())
points = [Point([x], Euclidean()) for x in [7, 44, 30, 24, 76]]
T = SNT(5, 1, 1)
T.construct(points, PL)
ver = SNTVerify(T, points)
ver.populate()
self.assertTrue(ver.relativescorrect())
self.assertTrue(ver.issemicompressed())
self.assertTrue(ver.islocalnettree())
T.cc = 5 / 4
T.cp = 1 / 4
self.assertTrue(ver.isglobalnettree())
points = [Point([x], Euclidean()) for x in [25, 20, 54, 30, 40, 0]]
T = SNT(5, 1, 1)
T.construct(points, PL)
ver = SNTVerify(T, points)
ver.populate()
self.assertTrue(ver.relativescorrect())
self.assertTrue(ver.issemicompressed())
self.assertTrue(ver.islocalnettree())
T.cc = 5 / 4
T.cp = 1 / 4
self.assertTrue(ver.isglobalnettree())
points = [
Point([x], Euclidean()) for x in [-55, 93, -90, -14, -13, -12]
]
T = SNT(7, 1, 1)
T.construct(points, PL)
ver = SNTVerify(T, points)
ver.populate()
self.assertTrue(ver.relativescorrect())
self.assertTrue(ver.islocalnettree())
self.assertTrue(ver.issemicompressed())
metric = Euclidean()
points = [
Point([random.randint(-10000, 10000) for _ in range(2)], metric)
for _ in range(200)
]
tmp = list()
for p in points:
if p in tmp:
print('duplicate:', p)
else:
tmp.append(p)
points = tmp
tau = 7
T = SNT(tau, 1, 1)
T.construct(points, PL)
ver = SNTVerify(T, points)
ver.populate()
self.assertTrue(ver.relativescorrect())
self.assertTrue(ver.islocalnettree())
self.assertTrue(ver.issemicompressed())
T.cc = tau / (tau - 1)
T.cp = (tau - 3) / (2 * (tau - 1))
self.assertTrue(ver.isglobalnettree())