def test_first_point(self):
cs = Clusters(dimension=2, capacity=2)
cs.add(1, (5, 5), 'bert')
self.assertEqual(len(cs.clusters), 1)
self.assertEqual(len(cs.clusters[0]), 1)
self.assertEqual(cs.clusters[0].mass, 1)
self.assertEqual(cs.clusters[0].center, (5, 5))
def test_same_point_multiple_times(self):
# NOTE: this is stupid. If you seed both clusters with the same
# point, your clustering will basically just be random.
cs = Clusters(dimension=2, capacity=2)
cs.add(1, (5, 5), 'tom')
self.assertEqual(len(cs.clusters), 1)
self.assertEqual(len(cs.clusters[0]), 1)
cs.add(1, (5, 5), 'dick')
self.assertEqual(len(cs.clusters), 2)
self.assertEqual(len(cs.clusters[0]), 1)
self.assertEqual(len(cs.clusters[1]), 1)
cs.add(1, (5, 5), 'harry')
self.assertEqual(len(cs.clusters), 2)
self.assertEqual(len(cs.clusters[0]), 2)
self.assertEqual(len(cs.clusters[1]), 1)
self.assertEqual(cs.clusters[0].mass, 2)
self.assertEqual(cs.clusters[1].mass, 1)