added graph simulation script
parent
77de7e318d
commit
b5fe4453ed
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@ -1,10 +1,14 @@
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from typing import NamedTuple, List
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from typing import NamedTuple, List, Set
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from collections import namedtuple
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from hashlib import sha3_256
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from hashlib import sha3_256
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from secrets import randbelow
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from secrets import randbelow
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from random import SystemRandom
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from random import SystemRandom
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from threading import Thread
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from time import sleep
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import uuid
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WeightedEdge = NamedTuple("WeightedEdge", "node", "weight")
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WeightedEdge = namedtuple("WeightedEdge", ["node", "weight"])
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message_pool: Set["Message"] = set() # This is just to save memory for the simulation
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message_pool: Set["Message"] = set() # This is just to save memory for the simulation
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@ -19,8 +23,9 @@ class Node:
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edges: List[WeightedEdge], graph_ids=["main"]):
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edges: List[WeightedEdge], graph_ids=["main"]):
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self.hidden_node = hidden_node
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self.hidden_node = hidden_node
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self.edges = edges
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self.edges = edges
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self.node_id = str(uuid.uuid4())
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self._messages: List[str] = list() # hashes point to message_pool
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self._messages: List[str] = list() # hashes point to message_pool
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self._hidden_messages = List[str] = list()
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self._hidden_messages: List[str] = list()
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def sharing_messages(self):
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def sharing_messages(self):
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share = list(self._messages)
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share = list(self._messages)
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@ -31,16 +36,16 @@ class Node:
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def add_message(self, hash_id):
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def add_message(self, hash_id):
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if hash_id not in self._messages:
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if hash_id not in self._messages:
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self._messages.append(message.hash_id)
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self._messages.append(hash_id)
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def pick_edge(self):
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def pick_edge(self):
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selected = self.edges[0]
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selected = self.edges[0]
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alt = []
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alt = []
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for weighted_edge in self.edges[1:]:
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for weighted_edge in self.edges[1:]:
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if weighted_edge.weight > selected.weight:
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if weighted_edge.weight[0] > selected.weight:
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selected = weighted_edge
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selected = weighted_edge
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elif weighted_edge.weight == selected.weight:
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elif weighted_edge.weight[0] == selected.weight:
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alt.append(selected)
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alt.append(selected)
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alt.append(selected)
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alt.append(selected)
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SystemRandom().shuffle(alt)
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SystemRandom().shuffle(alt)
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@ -50,21 +55,23 @@ class Node:
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def share_to_edges(self, message_id):
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def share_to_edges(self, message_id):
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edge = self.pick_edge()
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edge = self.pick_edge()
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edge.node.add_message(message_id)
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edge.node.add_message(message_id)
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edge.weight += 1
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edge.weight[0] += 1
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def lookup_messages(self):
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def lookup_messages(self):
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edge = self.pick_edge()
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edge = self.pick_edge()
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for message in edge.node.sharing_messages:
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for message in edge.node.sharing_messages():
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if message.hash_id not in self._messages:
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if message.hash_id not in self._messages:
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self._messages.append(message.hash_id)
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self._messages.append(message.hash_id)
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edge.weight += 1
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print(self.node_id, "found", message.hash_id)
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edge.weight[0] += 1
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def make_new_connections(self):
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def make_new_connections(self):
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edge = self.pick_edge()
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edge = self.pick_edge()
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for new_edge in edge.edges:
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for new_edge in edge.node.edges:
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if new_edge not in self.edges:
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if new_edge not in self.edges:
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self.edges.append(WeightedEdge(new_edge.node, 0))
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self.edges.append(WeightedEdge(new_edge.node, [0]))
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edge.weight += 1
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print(self.node_id, "added peer", new_edge.node.node_id)
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edge.weight[0] += 1
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class Message:
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class Message:
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@ -77,16 +84,22 @@ class Message:
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self.data = data
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self.data = data
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bootstrap_node = Node(False, [])
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bootstrap_node = Node(False, [])
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graph = [bootstrap_node]
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graph = [WeightedEdge(bootstrap_node, [0])]
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for i in range(10):
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for i in range(10):
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graph.append(Node(False, [bootstrap_node]))
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graph.append(WeightedEdge(Node(False, [WeightedEdge(bootstrap_node, [0])]), [0]))
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m = Message("hello world")
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m = Message(b"hello world")
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message_pool.add(m)
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message_pool.add(m)
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bootstrap_node.add_message(m)
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bootstrap_node.add_message(m.hash_id)
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while True:
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for node in graph:
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def node_driver(node):
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while True:
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node.make_new_connections()
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node.make_new_connections()
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node.lookup_messages()
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node.lookup_messages()
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bootstrap_node.add_message(m)
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sleep(1)
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for edge in graph:
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Thread(target=node_driver, args=[edge.node], daemon=True).start()
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input()
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