quoracle/tests/test_quorum_system.py
2021-02-04 20:59:10 -08:00

317 lines
10 KiB
Python

from quoracle import *
from quoracle.quorum_system import *
import unittest
class TestQuorumSystem(unittest.TestCase):
def test_init(self):
def quorums(e: Expr['str']) -> FrozenSet[FrozenSet[str]]:
return frozenset(frozenset(q) for q in e.quorums())
def assert_equal(x: Expr['str'], y: Expr['str']) -> None:
self.assertEqual(quorums(x), quorums(y))
a = Node('a')
b = Node('b')
c = Node('c')
d = Node('d')
# Specify reads.
qs = QuorumSystem(reads = a + b)
assert_equal(qs.reads, a + b)
assert_equal(qs.writes, a * b)
# Specify writes.
qs = QuorumSystem(writes = a + b)
assert_equal(qs.reads, a * b)
assert_equal(qs.writes, a + b)
# Specify neither.
with self.assertRaises(ValueError):
QuorumSystem()
# Specify both overlapping.
qs = QuorumSystem(reads=a+b, writes=a*b*c)
assert_equal(qs.reads, a+b)
assert_equal(qs.writes, a*b*c)
# Specify both not overlapping.
with self.assertRaises(ValueError):
QuorumSystem(reads=a+b, writes=a)
def test_uniform_strategy(self):
a = Node('a')
b = Node('b')
c = Node('c')
d = Node('d')
sigma = QuorumSystem(reads=a).uniform_strategy()
self.assertEqual(sigma.sigma_r, {
frozenset({'a'}): 1.0,
})
self.assertEqual(sigma.sigma_w, {
frozenset({'a'}): 1.0,
})
sigma = QuorumSystem(reads=a+a).uniform_strategy()
self.assertEqual(sigma.sigma_r, {
frozenset({'a'}): 1.0,
})
self.assertEqual(sigma.sigma_w, {
frozenset({'a'}): 1.0,
})
sigma = QuorumSystem(reads=a*a).uniform_strategy()
self.assertEqual(sigma.sigma_r, {
frozenset({'a'}): 1.0,
})
self.assertEqual(sigma.sigma_w, {
frozenset({'a'}): 1.0,
})
sigma = QuorumSystem(reads=a + a*b).uniform_strategy()
self.assertEqual(sigma.sigma_r, {
frozenset({'a'}): 1.0,
})
self.assertEqual(sigma.sigma_w, {
frozenset({'a'}): 1.0,
})
sigma = QuorumSystem(reads=a + a*b + a*c).uniform_strategy()
self.assertEqual(sigma.sigma_r, {
frozenset({'a'}): 1.0,
})
self.assertEqual(sigma.sigma_w, {
frozenset({'a'}): 1.0,
})
sigma = QuorumSystem(reads=a + b).uniform_strategy()
self.assertEqual(sigma.sigma_r, {
frozenset({'a'}): 1 / 2,
frozenset({'b'}): 1 / 2,
})
self.assertEqual(sigma.sigma_w, {
frozenset({'a', 'b'}): 1.0,
})
sigma = QuorumSystem(reads=a + b + c).uniform_strategy()
self.assertEqual(sigma.sigma_r, {
frozenset({'a'}): 1 / 3,
frozenset({'b'}): 1 / 3,
frozenset({'c'}): 1 / 3,
})
self.assertEqual(sigma.sigma_w, {
frozenset({'a', 'b', 'c'}): 1.0,
})
sigma = QuorumSystem(reads=(a*b)+(c*d)).uniform_strategy()
self.assertEqual(sigma.sigma_r, {
frozenset({'a', 'b'}): 1 / 2,
frozenset({'c', 'd'}): 1 / 2,
})
self.assertEqual(sigma.sigma_w, {
frozenset({'a', 'c'}): 1 / 4,
frozenset({'a', 'd'}): 1 / 4,
frozenset({'b', 'c'}): 1 / 4,
frozenset({'b', 'd'}): 1 / 4,
})
sigma = QuorumSystem(reads=(a*b)+(c*d)+(a*b)+(a*b*c)).uniform_strategy()
self.assertEqual(sigma.sigma_r, {
frozenset({'a', 'b'}): 1 / 2,
frozenset({'c', 'd'}): 1 / 2,
})
self.assertEqual(sigma.sigma_w, {
frozenset({'a', 'c'}): 1 / 4,
frozenset({'a', 'd'}): 1 / 4,
frozenset({'b', 'c'}): 1 / 4,
frozenset({'b', 'd'}): 1 / 4,
})
def test_make_strategy(self):
a = Node('a')
b = Node('b')
c = Node('c')
d = Node('d')
qs = QuorumSystem(reads = a*b + c*d)
sigma = qs.make_strategy(
sigma_r = {
frozenset({'a', 'b'}): 25,
frozenset({'c', 'd'}): 75,
},
sigma_w = {
frozenset({'a', 'c'}): 1,
frozenset({'a', 'd'}): 1,
frozenset({'b', 'c'}): 1,
frozenset({'b', 'd'}): 1,
},
)
self.assertEqual(sigma.sigma_r,
{
frozenset({'a', 'b'}): 0.25,
frozenset({'c', 'd'}): 0.75,
},
)
self.assertEqual(sigma.sigma_w,
{
frozenset({'a', 'c'}): 0.25,
frozenset({'a', 'd'}): 0.25,
frozenset({'b', 'c'}): 0.25,
frozenset({'b', 'd'}): 0.25,
},
)
with self.assertRaises(ValueError):
sigma = qs.make_strategy(
sigma_r = {
frozenset({'a', 'b'}): -1,
frozenset({'c', 'd'}): 1,
},
sigma_w = {
frozenset({'a', 'c'}): 1,
frozenset({'a', 'd'}): 1,
frozenset({'b', 'c'}): 1,
frozenset({'b', 'd'}): 1,
},
)
with self.assertRaises(ValueError):
sigma = qs.make_strategy(
sigma_r = {
frozenset({'a'}): 1,
frozenset({'c', 'd'}): 1,
},
sigma_w = {
frozenset({'a', 'c'}): 1,
frozenset({'a', 'd'}): 1,
frozenset({'b', 'c'}): 1,
frozenset({'b', 'd'}): 1,
},
)
def test_optimal_strategy(self):
def s(n: int) -> datetime.timedelta:
return datetime.timedelta(seconds=n)
a = Node('a', write_capacity=1, read_capacity=2, latency=s(1))
b = Node('b', write_capacity=1, read_capacity=2, latency=s(2))
c = Node('c', write_capacity=1, read_capacity=2, latency=s(3))
d = Node('d', write_capacity=1, read_capacity=2, latency=s(4))
qs = QuorumSystem(reads=a*b + c*d)
# Load Optimized.
self.assertEqual(qs.load(read_fraction=1), 0.25)
self.assertEqual(qs.capacity(read_fraction=1), 4)
self.assertEqual(qs.load(read_fraction=0), 0.5)
self.assertEqual(qs.capacity(read_fraction=0), 2)
self.assertEqual(qs.load(read_fraction=1, network_limit=2), 0.25)
self.assertEqual(qs.capacity(read_fraction=1, network_limit=2), 4)
self.assertEqual(qs.load(read_fraction=0, network_limit=2), 0.5)
self.assertEqual(qs.capacity(read_fraction=0, network_limit=2), 2)
self.assertEqual(qs.load(read_fraction=1, latency_limit=s(4)), 0.25)
self.assertEqual(qs.capacity(read_fraction=1, latency_limit=s(4)), 4)
self.assertEqual(qs.load(read_fraction=0, latency_limit=s(4)), 0.5)
self.assertEqual(qs.capacity(read_fraction=0, latency_limit=s(4)), 2)
# Network Optimized.
self.assertEqual(qs.network_load(
read_fraction=1,
optimize='network',
), 2)
self.assertEqual(qs.network_load(
read_fraction=0,
optimize='network',
), 2)
self.assertEqual(qs.network_load(
read_fraction=1,
optimize='network',
load_limit = 0.25,
), 2)
self.assertEqual(qs.network_load(
read_fraction=0,
optimize='network',
load_limit = 0.5,
), 2)
self.assertEqual(qs.network_load(
read_fraction=1,
optimize='network',
latency_limit = s(2),
), 2)
self.assertEqual(qs.network_load(
read_fraction=0,
optimize='network',
latency_limit = s(3),
), 2)
# Latency Optimized.
self.assertEqual(qs.latency(read_fraction=1, optimize='latency'), s(2))
self.assertEqual(qs.latency(read_fraction=0, optimize='latency'), s(3))
self.assertEqual(qs.latency(
read_fraction=1,
optimize='latency',
load_limit = 1.0,
), s(2))
self.assertEqual(qs.latency(
read_fraction=0,
optimize='latency',
load_limit = 1.0,
), s(3))
self.assertEqual(qs.latency(
read_fraction=1,
optimize='latency',
network_limit = 2,
), s(2))
self.assertEqual(qs.latency(
read_fraction=0,
optimize='latency',
network_limit = 2,
), s(3))
# 1-Resilient Load Optimized.
self.assertEqual(qs.load(read_fraction=1, f=1), 0.5)
self.assertEqual(qs.capacity(read_fraction=1, f=1), 2)
self.assertEqual(qs.load(read_fraction=0, f=1), 1)
self.assertEqual(qs.capacity(read_fraction=0, f=1), 1)
# 1-Resilient Network Optimized.
self.assertEqual(
qs.network_load(read_fraction=1, optimize='network', f=1), 4)
self.assertEqual(
qs.network_load(read_fraction=0, optimize='network', f=1), 4)
# 1-Resilient Latency Optimized.
self.assertEqual(
qs.latency(read_fraction=1, optimize='latency', f=1), s(2))
self.assertEqual(
qs.latency(read_fraction=0, optimize='latency', f=1), s(3))
# Illegal Specification
with self.assertRaises(ValueError):
qs.strategy(read_fraction=0.1, optimize='load', load_limit=1)
with self.assertRaises(ValueError):
qs.strategy(read_fraction=0.1, optimize='network', network_limit=2)
with self.assertRaises(ValueError):
qs.strategy(read_fraction=0.1, optimize='latency',
latency_limit=s(5))
# Unsatisfiable Constraints
with self.assertRaises(NoStrategyFoundError):
qs.strategy(read_fraction=0,
optimize='load',
network_limit=1.5)
with self.assertRaises(NoStrategyFoundError):
qs.strategy(read_fraction=0,
optimize='load',
latency_limit=s(1))
with self.assertRaises(NoStrategyFoundError):
qs.strategy(read_fraction=1,
optimize='network',
load_limit=0.25,
latency_limit=s(2))