Added quorum system tests.
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2 changed files with 190 additions and 2 deletions
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@ -192,6 +192,10 @@ class QuorumSystem(Generic[T]):
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raise ValueError('sigma_r has negative weights')
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if not all(0 <= weight for weight in sigma_w.values()):
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raise ValueError('sigma_w has negative weights')
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if not all(self.is_read_quorum(set(rq)) for rq in sigma_r):
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raise ValueError('sigma_r has non-read quorums')
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if not all(self.is_write_quorum(set(wq)) for wq in sigma_w):
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raise ValueError('sigma_w has non-write quorums')
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normalized_sigma_r = {rq: weight / sum(sigma_r.values())
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for (rq, weight) in sigma_r.items()}
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normalized_sigma_w = {wq: weight / sum(sigma_w.values())
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@ -128,6 +128,190 @@ class TestQuorumSystem(unittest.TestCase):
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frozenset({'b', 'd'}): 1 / 4,
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})
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def test_make_strategy(self):
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a = Node('a')
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b = Node('b')
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c = Node('c')
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d = Node('d')
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qs = QuorumSystem(reads = a*b + c*d)
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sigma = qs.make_strategy(
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sigma_r = {
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frozenset({'a', 'b'}): 25,
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frozenset({'c', 'd'}): 75,
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},
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sigma_w = {
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frozenset({'a', 'c'}): 1,
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frozenset({'a', 'd'}): 1,
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frozenset({'b', 'c'}): 1,
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frozenset({'b', 'd'}): 1,
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},
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)
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self.assertEqual(sigma.sigma_r,
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{
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frozenset({'a', 'b'}): 0.25,
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frozenset({'c', 'd'}): 0.75,
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},
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)
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self.assertEqual(sigma.sigma_w,
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{
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frozenset({'a', 'c'}): 0.25,
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frozenset({'a', 'd'}): 0.25,
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frozenset({'b', 'c'}): 0.25,
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frozenset({'b', 'd'}): 0.25,
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},
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)
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with self.assertRaises(ValueError):
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sigma = qs.make_strategy(
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sigma_r = {
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frozenset({'a', 'b'}): -1,
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frozenset({'c', 'd'}): 1,
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},
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sigma_w = {
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frozenset({'a', 'c'}): 1,
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frozenset({'a', 'd'}): 1,
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frozenset({'b', 'c'}): 1,
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frozenset({'b', 'd'}): 1,
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},
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)
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with self.assertRaises(ValueError):
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sigma = qs.make_strategy(
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sigma_r = {
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frozenset({'a'}): 1,
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frozenset({'c', 'd'}): 1,
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},
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sigma_w = {
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frozenset({'a', 'c'}): 1,
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frozenset({'a', 'd'}): 1,
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frozenset({'b', 'c'}): 1,
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frozenset({'b', 'd'}): 1,
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},
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)
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def test_optimal_strategy(self):
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# TODO(mwhittaker): Implement.
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pass
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def s(n: int) -> datetime.timedelta:
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return datetime.timedelta(seconds=n)
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a = Node('a', write_capacity=1, read_capacity=2, latency=s(1))
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b = Node('b', write_capacity=1, read_capacity=2, latency=s(2))
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c = Node('c', write_capacity=1, read_capacity=2, latency=s(3))
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d = Node('d', write_capacity=1, read_capacity=2, latency=s(4))
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qs = QuorumSystem(reads=a*b + c*d)
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# Load Optimized.
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self.assertEqual(qs.load(read_fraction=1), 0.25)
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self.assertEqual(qs.capacity(read_fraction=1), 4)
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self.assertEqual(qs.load(read_fraction=0), 0.5)
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self.assertEqual(qs.capacity(read_fraction=0), 2)
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self.assertEqual(qs.load(read_fraction=1, network_limit=2), 0.25)
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self.assertEqual(qs.capacity(read_fraction=1, network_limit=2), 4)
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self.assertEqual(qs.load(read_fraction=0, network_limit=2), 0.5)
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self.assertEqual(qs.capacity(read_fraction=0, network_limit=2), 2)
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self.assertEqual(qs.load(read_fraction=1, latency_limit=s(4)), 0.25)
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self.assertEqual(qs.capacity(read_fraction=1, latency_limit=s(4)), 4)
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self.assertEqual(qs.load(read_fraction=0, latency_limit=s(4)), 0.5)
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self.assertEqual(qs.capacity(read_fraction=0, latency_limit=s(4)), 2)
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# Network Optimized.
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self.assertEqual(qs.network_load(
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read_fraction=1,
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optimize='network',
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), 2)
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self.assertEqual(qs.network_load(
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read_fraction=0,
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optimize='network',
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), 2)
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self.assertEqual(qs.network_load(
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read_fraction=1,
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optimize='network',
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load_limit = 0.25,
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), 2)
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self.assertEqual(qs.network_load(
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read_fraction=0,
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optimize='network',
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load_limit = 0.5,
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), 2)
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self.assertEqual(qs.network_load(
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read_fraction=1,
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optimize='network',
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latency_limit = s(2),
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), 2)
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self.assertEqual(qs.network_load(
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read_fraction=0,
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optimize='network',
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latency_limit = s(3),
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), 2)
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# Latency Optimized.
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self.assertEqual(qs.latency(read_fraction=1, optimize='latency'), s(2))
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self.assertEqual(qs.latency(read_fraction=0, optimize='latency'), s(3))
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self.assertEqual(qs.latency(
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read_fraction=1,
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optimize='latency',
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load_limit = 1.0,
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), s(2))
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self.assertEqual(qs.latency(
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read_fraction=0,
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optimize='latency',
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load_limit = 1.0,
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), s(3))
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self.assertEqual(qs.latency(
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read_fraction=1,
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optimize='latency',
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network_limit = 2,
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), s(2))
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self.assertEqual(qs.latency(
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read_fraction=0,
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optimize='latency',
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network_limit = 2,
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), s(3))
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# 1-Resilient Load Optimized.
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self.assertEqual(qs.load(read_fraction=1, f=1), 0.5)
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self.assertEqual(qs.capacity(read_fraction=1, f=1), 2)
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self.assertEqual(qs.load(read_fraction=0, f=1), 1)
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self.assertEqual(qs.capacity(read_fraction=0, f=1), 1)
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# 1-Resilient Network Optimized.
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self.assertEqual(
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qs.network_load(read_fraction=1, optimize='network', f=1), 4)
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self.assertEqual(
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qs.network_load(read_fraction=0, optimize='network', f=1), 4)
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# 1-Resilient Latency Optimized.
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self.assertEqual(
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qs.latency(read_fraction=1, optimize='latency', f=1), s(2))
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self.assertEqual(
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qs.latency(read_fraction=0, optimize='latency', f=1), s(3))
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# Illegal Specification
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with self.assertRaises(ValueError):
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qs.strategy(read_fraction=0.1, optimize='load', load_limit=1)
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with self.assertRaises(ValueError):
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qs.strategy(read_fraction=0.1, optimize='network', network_limit=2)
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with self.assertRaises(ValueError):
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qs.strategy(read_fraction=0.1, optimize='latency',
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latency_limit=s(5))
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# Unsatisfiable Constraints
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with self.assertRaises(NoStrategyFoundError):
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qs.strategy(read_fraction=0,
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optimize='load',
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network_limit=1.5)
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with self.assertRaises(NoStrategyFoundError):
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qs.strategy(read_fraction=0,
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optimize='load',
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latency_limit=s(1))
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with self.assertRaises(NoStrategyFoundError):
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qs.strategy(read_fraction=1,
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optimize='network',
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load_limit=0.25,
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latency_limit=s(2))
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