def test_singleton_in_a_crowd():
compression = 100
digest = TDigest(compression=compression)
for i in range(10000):
digest.add(10)
digest.add(20)
digest.compress()
assert digest.quantile(0) == 10.0
assert digest.quantile(0.5) == 10.0
assert digest.quantile(0.8) == 10.0
assert digest.quantile(0.9) == 10.0
assert digest.quantile(0.99) == 10.0
assert digest.quantile(1) == 20.0
def test_singleton_in_a_crowd():
compression = 100
digest = TDigest(compression=compression)
for i in range(10000):
digest.add(10)
digest.add(20)
digest.compress()
assert digest.quantile(0) == 10.0
assert digest.quantile(0.5) == 10.0
assert digest.quantile(0.8) == 10.0
assert digest.quantile(0.9) == 10.0
assert digest.quantile(0.99) == 10.0
assert digest.quantile(1) == 20.0
def test_merge():
for parts in [2, 5, 10, 20, 50, 100]:
data = []
digest = TDigest()
subs = [TDigest() for _ in range(parts)]
cnt = [0] * parts
for i in range(10000):
x = random.random()
data.append(x)
digest.add(x)
subs[i % parts].add(x)
cnt[i % parts] += 1
digest.compress()
data = sorted(data)
k = 0
for i, d in enumerate(subs):
assert cnt[i] == len(d)
k2 = sum(c.count for c in d.centroids)
assert cnt[i] == k2
k += k2
assert k == len(data)
digest2 = reduce(lambda x, y: x + y, subs)
for q in [0.001, 0.01, 0.1, 0.2, 0.3, 0.5]:
z = quantile(data, q)
e2 = digest2.quantile(q) - z
assert abs(e2) / q < 0.3
assert abs(e2) < 0.015
for q in [0.001, 0.01, 0.1, 0.2, 0.3, 0.5]:
z = cdf(data, q)
e2 = digest2.cdf(q) - z
assert abs(e2) / q < 0.3
assert abs(e2) < 0.015
def test_merge():
for parts in [2, 5, 10, 20, 50, 100]:
data = []
digest = TDigest()
subs = [TDigest() for _ in range(parts)]
cnt = [0] * parts
for i in range(10000):
x = random.random()
data.append(x)
digest.add(x)
subs[i % parts].add(x)
cnt[i % parts] += 1
digest.compress()
data = sorted(data)
k = 0
for i, d in enumerate(subs):
assert cnt[i] == len(d)
k2 = sum(c.count for c in d.centroids)
assert cnt[i] == k2
k += k2
assert k == len(data)
digest2 = reduce(lambda x, y: x + y, subs)
for q in [0.001, 0.01, 0.1, 0.2, 0.3, 0.5]:
z = quantile(data, q)
e2 = digest2.quantile(q) - z
assert abs(e2) / q < 0.3
assert abs(e2) < 0.015
for q in [0.001, 0.01, 0.1, 0.2, 0.3, 0.5]:
z = cdf(data, q)
e2 = digest2.cdf(q) - z
assert abs(e2) / q < 0.3
assert abs(e2) < 0.015
