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