def testRouletteWheel_IncrementalSave(self):
f = tempfile.NamedTemporaryFile()
r = utils.RouletteWheel(unique_mode=True, save_file=f.name)
entries = [
([1, 2, 3], 0.1, 'a'),
([4, 5], 0.2, 'b'),
([6], 0.3, 'c'),
([7, 8, 9, 10], 0.25, 'd'),
([-1, -2], 0.15, 'e'),
([-3, -4, -5], 0.5, 'f')]
self.assertTrue(r.is_empty())
for i in range(0, len(entries), 2):
r.add(*entries[i])
r.add(*entries[i + 1])
r.incremental_save()
r2 = utils.RouletteWheel(unique_mode=True, save_file=f.name)
self.assertEqual(i + 2, len(r2))
count = 0
for j, (obj, weight) in enumerate(r2):
self.assertEqual(entries[j][0], obj)
self.assertEqual(entries[j][1], weight)
self.assertEqual(weight, r2.get_weight(entries[j][2]))
count += 1
self.assertEqual(i + 2, count)
def testRouletteWheel_UniqueMode(self):
random.seed(12345678987654321)
r = utils.RouletteWheel(unique_mode=True)
self.assertEqual(True, r.add([1, 2, 3], 1, 'a'))
self.assertEqual(True, r.add([4, 5], 0.5, 'b'))
self.assertEqual(False, r.add([1, 2, 3], 1.5, 'a'))
self.assertEqual(
[([1, 2, 3], 1.0), ([4, 5], 0.5)],
list(r))
self.assertEqual(1.5, r.total_weight)
self.assertEqual(
2,
r.add_many(
[[5, 6, 2, 3], [1, 2, 3], [8], [1, 2, 3]],
[0.1, 0.2, 0.1, 2.0],
['c', 'a', 'd', 'a']))
self.assertEqual(
[([1, 2, 3], 1.0), ([4, 5], 0.5), ([5, 6, 2, 3], 0.1), ([8], 0.1)],
list(r))
self.assertTrue(np.isclose(1.7, r.total_weight))
self.assertEqual(0, r.add_many([], [], [])) # Adding no items is allowed.
with self.assertRaises(ValueError):
# Key not given.
r.add([7, 8, 9], 2.0)
with self.assertRaises(ValueError):
# Keys not given.
r.add_many([[7, 8, 9], [10]], [2.0, 2.0])
self.assertEqual(True, r.has_key('a'))
self.assertEqual(True, r.has_key('b'))
self.assertEqual(False, r.has_key('z'))
self.assertEqual(1.0, r.get_weight('a'))
self.assertEqual(0.5, r.get_weight('b'))
r = utils.RouletteWheel(unique_mode=False)
self.assertEqual(True, r.add([1, 2, 3], 1))
self.assertEqual(True, r.add([4, 5], 0.5))
self.assertEqual(True, r.add([1, 2, 3], 1.5))
self.assertEqual(
[([1, 2, 3], 1.0), ([4, 5], 0.5), ([1, 2, 3], 1.5)],
list(r))
self.assertEqual(3, r.total_weight)
self.assertEqual(
4,
r.add_many(
[[5, 6, 2, 3], [1, 2, 3], [8], [1, 2, 3]],
[0.1, 0.2, 0.1, 0.2]))
self.assertEqual(
[([1, 2, 3], 1.0), ([4, 5], 0.5), ([1, 2, 3], 1.5),
([5, 6, 2, 3], 0.1), ([1, 2, 3], 0.2), ([8], 0.1), ([1, 2, 3], 0.2)],
list(r))
self.assertTrue(np.isclose(3.6, r.total_weight))
with self.assertRaises(ValueError):
# Key is given.
r.add([7, 8, 9], 2.0, 'a')
with self.assertRaises(ValueError):
# Keys are given.
r.add_many([[7, 8, 9], [10]], [2.0, 2.0], ['a', 'b'])
def testRouletteWheel_AddZeroWeights(self):
r = utils.RouletteWheel()
self.assertEqual(True, r.add('a', 0))
self.assertFalse(r.is_empty())
self.assertEqual(4, r.add_many(['b', 'c', 'd', 'e'], [0, 0.1, 0, 0]))
self.assertEqual([('a', 0.0), ('b', 0.0), ('c', 0.1), ('d', 0.0),
('e', 0.0)], list(r))
def testRouletteWheel(self):
random.seed(12345678987654321)
r = utils.RouletteWheel()
self.assertTrue(r.is_empty())
with self.assertRaises(RuntimeError):
r.sample() # Cannot sample when empty.
self.assertEqual(0, r.total_weight)
self.assertEqual(True, r.add('a', 0.1))
self.assertFalse(r.is_empty())
self.assertEqual(0.1, r.total_weight)
self.assertEqual(True, r.add('b', 0.01))
self.assertEqual(0.11, r.total_weight)
self.assertEqual(True, r.add('c', 0.5))
self.assertEqual(True, r.add('d', 0.1))
self.assertEqual(True, r.add('e', 0.05))
self.assertEqual(True, r.add('f', 0.03))
self.assertEqual(True, r.add('g', 0.001))
self.assertEqual(0.791, r.total_weight)
self.assertFalse(r.is_empty())
# Check that sampling is correct.
obj, weight = r.sample()
self.assertTrue(isinstance(weight, float), 'Type: %s' % type(weight))
self.assertTrue((obj, weight) in r)
for obj, weight in r.sample_many(100):
self.assertTrue(isinstance(weight, float),
'Type: %s' % type(weight))
self.assertTrue((obj, weight) in r)
# Check that sampling distribution is correct.
n = 1000000
c = Counter(r.sample_many(n))
for obj, w in r:
estimated_w = c[(obj, w)] / float(n) * r.total_weight
self.assertTrue(
np.isclose(w, estimated_w, atol=1e-3),
'Expected %s, got %s, for object %s' % (w, estimated_w, obj))
