def test_knn(self):
"""testing k-nearest neighbors.
"""
sqd = np.sum(np.power((self.arr - self.point), 2), axis=1)
sorted_idx = sqd.argsort()
kdt = ckd3.KDTree(self.arr)
points, dists = kdt.knn(self.point, 5)
self.assertEqualItems(sorted_idx[:5], points)
def test_instance(self):
"""check if KDTree instance behaves correctly."""
kdt = ckd3.KDTree(self.arr)
self.assertEqual(kdt.dims, 3)
def assig():
kdt.dims = 4
self.assertRaises(AttributeError, assig)
self.assertEqual(kdt.dims, 3)
self.assertEqual(kdt.pnts, 1000)
def test_rn(self):
"""testing neighbors within radius.
"""
sqd = np.sum(np.power((self.arr - self.point), 2), axis=1)
sqd = sqd[sqd <= 0.05]
sqd.sort()
kdt = ckd3.KDTree(self.arr)
points, dists = kdt.rn(self.point, 0.05)
dists.sort()
self.assertFloatEqual(dists, sqd)
