def test_biased_compressed():
import random
quantile = Quantile()
for i in xrange(1000):
quantile.insert(random.random())
for q in xrange(1, 10):
assert abs(quantile.query(q / 10.0) - q / 10.0) < 0.05
def test_targeted_compressed():
import random
quantiles = [0.99, 0.98, 0.95, 0.5]
quantile = Quantile()
for i in xrange(1000):
quantile.insert(random.random())
for q in quantiles:
assert abs(quantile.query(q) - q) < 0.05
def test_targeted_exception():
import random
quantile = Quantile([0.99,])
for i in xrange(1000):
quantile.insert(random.random())
try:
quantile.query(0.12324123)
raise
except InvalidQuantile:
return
except:
assert False, "Should have rasied InvalidQuantile"
def test_targeted_uncompressed():
quantile = Quantile([0.99, 0.95, 0.5])
for i in xrange(10):
quantile.insert(i + 1)
for q in xrange(1, 10):
assert quantile.query(q / 10.0) == q
def test_biased_uncompressed():
quantile = Quantile()
for i in xrange(10):
quantile.insert(i + 1)
for q in xrange(1, 10):
assert quantile.query(q / 10.0) == q
