research/old_consensus_by_bet/networksim.py

76 lines
2.5 KiB
Python

from distributions import transform, normal_distribution
import random
class NetworkSimulator():
def __init__(self):
self.agents = []
self.latency_distribution_sample = transform(normal_distribution(50, 20), lambda x: max(x, 0))
self.time = 0
self.objqueue = {}
self.peers = {}
self.reliability = 0.9
def generate_peers(self, num_peers=5):
self.peers = {}
for a in self.agents:
p = []
while len(p) <= num_peers // 2:
p.append(random.choice(self.agents))
if p[-1] == a:
p.pop()
self.peers[a.id] = self.peers.get(a.id, []) + p
for peer in p:
self.peers[peer.id] = self.peers.get(peer.id, []) + [a]
def tick(self):
if self.time in self.objqueue:
for recipient, obj in self.objqueue[self.time]:
if random.random() < self.reliability:
recipient.on_receive(obj)
del self.objqueue[self.time]
for a in self.agents:
a.tick()
self.time += 1
def run(self, steps):
for i in range(steps):
self.tick()
def broadcast(self, sender, obj):
for p in self.peers[sender.id]:
recv_time = self.time + self.latency_distribution_sample()
if recv_time not in self.objqueue:
self.objqueue[recv_time] = []
self.objqueue[recv_time].append((p, obj))
def direct_send(self, to_id, obj):
for a in self.agents:
if a.id == to_id:
recv_time = self.time + self.latency_distribution_sample()
if recv_time not in self.objqueue:
self.objqueue[recv_time] = []
self.objqueue[recv_time].append((a, obj))
def knock_offline_random(self, n):
ko = {}
while len(ko) < n:
c = random.choice(self.agents)
ko[c.id] = c
for c in ko.values():
self.peers[c.id] = []
for a in self.agents:
self.peers[a.id] = [x for x in self.peers[a.id] if x.id not in ko]
def partition(self):
a = {}
while len(a) < len(self.agents) / 2:
c = random.choice(self.agents)
a[c.id] = c
for c in self.agents:
if c.id in a:
self.peers[c.id] = [x for x in self.peers[c.id] if x.id in a]
else:
self.peers[c.id] = [x for x in self.peers[c.id] if x.id not in a]