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Fuzzy_Ben-Or.py
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Fuzzy_Ben-Or.py
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import numpy as np
import socket
import threading
from random import randint, uniform, sample
class individual:
def __init__(self, idx, is_byz, init_op, ex_thr, membership_param_zero, membership_param_half, membership_param_one, threshold_zero, threshold_one, ip, port):
##### The individual's index
self.idx = idx
##### The individual's opinion. It can be either inside {0,1}, or -1, which means that it
##### has no opinion.
self.opinion = init_op
##### The value that the individual broadcasts in phase two
self.phase_two_value = []
##### The membership value of the average obtained in phase one for the "zero"
self.phase_two_membership_zero = []
##### The membership value of the average obtained in phase one for the "half"
self.phase_two_membership_half = []
##### The membership value of the average obtained in phase one for the "one"
self.phase_two_membership_one = []
##### The opinion of the individual at the end of each round
self.rnd_opinions = [init_op]
##### The final aggregated opinion after receiving enough phase 2 messages
self.agg_opinions = []
##### The "zero" membership function parameter
self.membership_param_zero = membership_param_zero
##### The "half" membership function parameter
self.membership_param_half = membership_param_half
##### The "one" membership function parameter
self.membership_param_one = membership_param_one
##### The "zero" defuzzification threshold
self.threshold_zero = threshold_zero
##### The "one" defuzzification threshold
self.threshold_one = threshold_one
##### The slope for the "zero" membership line y = ax + b
self.zero_a = 1 / (1 - self.membership_param_zero)
##### The b for the "zero" membership line y = ax + b
self.zero_b = -1 * self.membership_param_zero / (1 - self.membership_param_zero)
##### The slope for the "one" membership line y = ax + b
self.one_a = 1 / (2 - self.membership_param_one)
##### The b for the "one" membership line y = ax + b
self.one_b = self.membership_param_one / (self.membership_param_one - 2)
##### The slope for the left "half" membership line y = ax + b
self.left_half_a = 1 / (1.5 - self.membership_param_half[0])
##### The b for the left "half" membership line y = ax + b
self.left_half_b = 2 * self.membership_param_half[0] / (2 * self.membership_param_half[0] - 3)
##### The slope for the right "half" membership line y = ax + b
self.right_half_a = 1 / (1.5 - self.membership_param_half[1])
##### The b for the right "half" membership line y = ax + b
self.right_half_b = 2 * self.membership_param_half[1] / (2 * self.membership_param_half[1] - 3)
##### The counter for the first phase of each round
self.first_phase_cntr = []
##### The counter for the second phase of each round
self.second_phase_cntr = []
##### A flag indicating whether the individual has decided or not
self.decided = False
##### A flag indicating that the first phase has finished
self.phase_one_is_finished = [False]
##### A flag indicating that the handler should ignore phase one messages
self.ignore_phase_one_messages = []
##### A flag indicating that the handler should ignore phase two messages
self.ignore_phase_two_messages = []
##### A flag indicating if the individual is Byzantine
self.is_byz = is_byz
##### A flag indicating whether the node is listening for requests or not
self.is_listening = True
##### The active queries in each query round
self.active_queries = []
##### The responses received in phase one
self.phase_one_messages = []
##### The responses received in phase two
self.phase_two_messages = []
##### The query round
self.query_rnd = 0
##### The phase in each round
self.phase = 1
##### The execution threshold: the individual should not run indefinitely, and should
##### decide after enough time has passed.
self.ex_thr = ex_thr
##### The IP address and the port of the individual
self.ip = ip
self.port = port
##### A flag indicating whether the individual should continue to be active or not
if not self.opinion == -1:
self.is_active = True
else:
self.is_active = False
##### The locks guarding the individual's internal state
self.opinion_lock = threading.Lock()
self.decided_lock = threading.Lock()
self.is_active_lock = threading.Lock()
self.phase_one_messages_lock = threading.Lock()
self.phase_one_is_finished_lock = threading.Lock()
self.phase_two_messages_lock = threading.Lock()
def spawn_handler(self, msg, addr):
new_handler = threading.Thread(target=self.handler, args=(msg, addr,))
new_handler.start()
def get_membership_zero(self, val):
if val < 1:
return 1
elif val >= self.membership_param_zero:
return 0
else:
return self.zero_a * val + self.zero_b
def get_membership_one(self, val):
if val < self.membership_param_one:
return 0
elif val > 2:
return 1
else:
return self.one_a * val + self.one_b
def defuzzify(self, val):
mem_0 = self.get_membership_zero(val)
mem_1 = self.get_membership_one(val)
mem_half = self.get_membership_half(val)
idx = np.argmax([mem_0, mem_half, mem_1])
if idx == 0:
return 1
elif idx == 1:
return 1.5
else:
return 2
def get_membership_half(self, val):
if val < self.membership_param_half[0]:
return 0
elif val > self.membership_param_half[1]:
return 0
elif val >= self.membership_param_half[0] and val < 1.5:
return self.left_half_a * val + self.left_half_b
else:
return self.right_half_a * val + self.right_half_b
def listener(self):
my_poller = threading.Thread(target=self.poller, args=())
my_poller.start()
sck = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
sck.bind((self.ip, self.port))
while self.is_listening:
#with self.decided_lock:
# if self.decided:
# break
if num_decided == num_individuals:
sck.close()
break
sck.listen()
conn, addr = sck.accept()
response_received = False
response = ""
while not response_received:
data = conn.recv(1024)
#print(data)
if not data:
response_received = True
continue
response = response + data.decode()
conn.close()
self.spawn_handler(response, addr)
#print(f"{self.idx} exited its listener!")
def poller(self):
#while not self.decided:
while True:
if num_decided == num_individuals:
break
if not self.phase_one_is_finished[self.query_rnd]:
#print(f"{self.idx} --- rnd_opinion is {self.rnd_opinions[self.query_rnd - 1]}")
self.query_rnd = self.query_rnd + 1
indiv_sample = sample_individuals(self.idx)
while not len(indiv_sample) == 0:
if num_decided == num_individuals:
break
successful_queries = []
for indiv in indiv_sample:
with self.opinion_lock:
#print(f"{self.idx} - rnd_opinions length is {len(self.rnd_opinions)}")
#print(f"self.query_rnd - 1 is {self.query_rnd - 1}")
if self.is_byz:
#success = send_msg(indiv, "1:" + str(self.query_rnd) + ":" + str(randint(0, 1) + 1))
success = send_msg(indiv, "1:" + str(self.query_rnd) + ":" + str(1.5))
else:
if self.decided:
success = send_msg(indiv, "1:" + str(self.query_rnd) + ":" + str(self.opinion + 1))
else:
success = send_msg(indiv, "1:" + str(self.query_rnd) + ":" + str(self.rnd_opinions[self.query_rnd - 1]))
if success:
successful_queries.append(indiv)
for indiv in successful_queries:
indiv_sample.remove(indiv)
with self.phase_one_is_finished_lock:
############### Dangerous!!!! TODO:
self.phase_one_is_finished.append(True)
#self.phase_one_is_finished[self.query_rnd - 1] = True
if self.decided:
self.phase = 2
self.phase_two_value.append(1.5)
#print(f"{self.idx} finished phase one of round {self.query_rnd}")
if self.phase == 2:
#print(f"{self.idx} started phase two of round {self.query_rnd}")
#print(f"{self.idx} phase two value in round {self.query_rnd} is {self.phase_two_value[self.query_rnd - 1]}")
indiv_sample = sample_individuals(self.idx)
while not len(indiv_sample) == 0:
if num_decided == num_individuals:
break
successful_queries = []
for indiv in indiv_sample:
with self.opinion_lock:
if self.is_byz:
r = uniform(1, 2)
#success = send_msg(indiv, "2:" + str(self.query_rnd) + ":" + str(self.get_membership_zero(r)) + ":" + str(self.get_membership_half(r)) + ":" + str(self.get_membership_one(r)))
success = send_msg(indiv, "2:" + str(self.query_rnd) + ":" + str(self.get_membership_zero(1.5)) + ":" + str(self.get_membership_half(1.5)) + ":" + str(self.get_membership_one(1.5)))
else:
if self.decided:
success = send_msg(indiv, "2:" + str(self.query_rnd) + ":" + str(self.get_membership_zero(self.opinion + 1)) + ":" + str(self.get_membership_half(self.opinion + 1)) + ":" + str(self.get_membership_one(self.opinion + 1)))
else:
success = send_msg(indiv, "2:" + str(self.query_rnd) + ":" + str(self.phase_two_membership_zero[self.query_rnd - 1]) + ":" + str(self.phase_two_membership_half[self.query_rnd - 1]) + ":" + str(self.phase_two_membership_one[self.query_rnd - 1]))
if success:
successful_queries.append(indiv)
for indiv in successful_queries:
indiv_sample.remove(indiv)
self.phase = 1
if self.decided:
self.phase_one_is_finished[self.query_rnd] = False
#print(f"{self.idx} finished phase two of round {self.query_rnd}")
#print(f"{self.idx} exited its poller!")
def handler(self, msg:str, addr):
splitted_msg = msg.split(":")
msg_rnd = int(splitted_msg[1])
if splitted_msg[0] == "1":
with self.phase_one_messages_lock:
while len(self.ignore_phase_one_messages) < msg_rnd:
self.ignore_phase_one_messages.append(False)
while len(self.first_phase_cntr) < msg_rnd:
self.first_phase_cntr.append(0)
while len(self.phase_one_messages) < msg_rnd:
self.phase_one_messages.append([])
while len(self.phase_two_value) < msg_rnd:
self.phase_two_value.append(1.5)
while len(self.phase_two_membership_zero) < msg_rnd:
self.phase_two_membership_zero.append(0)
while len(self.phase_two_membership_half) < msg_rnd:
self.phase_two_membership_half.append(0)
while len(self.phase_two_membership_one) < msg_rnd:
self.phase_two_membership_one.append(0)
if not self.ignore_phase_one_messages[msg_rnd - 1] and not self.decided:
self.first_phase_cntr[msg_rnd - 1] = self.first_phase_cntr[msg_rnd - 1] + 1
self.phase_one_messages[msg_rnd - 1].append(float(splitted_msg[2]))
if self.first_phase_cntr[msg_rnd - 1] >= num_individuals - t:
self.ignore_phase_one_messages[msg_rnd - 1] = True
#one_cntr = 0
#zero_cntr = 0
#for val in self.phase_one_messages[msg_rnd - 1]:
# if val == 0:
# zero_cntr += 1
# elif val == 1:
# one_cntr += 1
self.phase_two_value[msg_rnd - 1] = np.mean(self.phase_one_messages[msg_rnd - 1])
self.phase_two_membership_zero[msg_rnd - 1] = self.get_membership_zero(self.phase_two_value[msg_rnd - 1])
self.phase_two_membership_one[msg_rnd - 1] = self.get_membership_one(self.phase_two_value[msg_rnd - 1])
self.phase_two_membership_half[msg_rnd - 1] = self.get_membership_half(self.phase_two_value[msg_rnd - 1])
#print(f"{self.idx} --- phase one - phase one messages are {self.phase_one_messages[msg_rnd - 1]}")
#print(f"{self.idx} --- phase one - zero_cntr is {zero_cntr}")
#print(f"{self.idx} --- phase one - one_cntr is {one_cntr}")
#print(f"{self.idx} --- phase one - phase two value is {self.phase_two_value[msg_rnd - 1]}")
if self.query_rnd == msg_rnd:
self.phase = 2
elif splitted_msg[0] == "2":
with self.phase_two_messages_lock:
while len(self.ignore_phase_two_messages) < msg_rnd:
self.ignore_phase_two_messages.append(False)
while len(self.second_phase_cntr) < msg_rnd:
self.second_phase_cntr.append(0)
while len(self.phase_two_messages) < msg_rnd:
self.phase_two_messages.append([])
while len(self.agg_opinions) < msg_rnd:
self.agg_opinions.append(0)
####### The <= is very important! self.rnd_opinions starts with a value in
####### the first element, and is not initially empty.
while len(self.rnd_opinions) <= msg_rnd:
if self.decided:
self.rnd_opinions.append(self.opinion)
else:
self.rnd_opinions.append(-1)
####### The <= is necessary because it is setting a value for the future, not this round.
with self.phase_one_is_finished_lock:
while len(self.phase_one_is_finished) <= msg_rnd:
self.phase_one_is_finished.append(True)
if not self.ignore_phase_two_messages[msg_rnd - 1] and not self.decided:
self.second_phase_cntr[msg_rnd - 1] += 1
self.phase_two_messages[msg_rnd - 1].append((float(splitted_msg[2]), float(splitted_msg[3]), float(splitted_msg[4])))
if self.second_phase_cntr[msg_rnd - 1] >= num_individuals - t:
#print(f"{self.idx} entered phase 2.")
self.ignore_phase_two_messages[msg_rnd - 1] = True
weights = 0
for mems in self.phase_two_messages[msg_rnd - 1]:
self.agg_opinions[msg_rnd - 1] += mems[0] + 1.5 * mems[1] + 2 * mems[2]
weights += mems[0] + mems[1] + mems[2]
self.agg_opinions[msg_rnd - 1] = self.agg_opinions[msg_rnd - 1] / weights
#print(f"{self.idx} --- phase two - zero_cntr is {zero_cntr}")
#print(f"{self.idx} --- phase two - one_cntr is {one_cntr}")
#print(f"{self.idx} --- phase two - phase two messages are {self.phase_two_messages[msg_rnd-1]}")
###### VERY IMPORTANT: Is it necessary to defuzzify the value? TODO:
#self.rnd_opinions[msg_rnd] = self.agg_opinions[msg_rnd - 1]
#self.rnd_opinions[msg_rnd] = self.defuzzify(self.agg_opinions[msg_rnd - 1])
global num_decided
if self.defuzzify(self.phase_two_value[msg_rnd - 1]) == self.defuzzify(self.agg_opinions[msg_rnd - 1]) and not self.defuzzify(self.agg_opinions[msg_rnd - 1]) == 1.5:
#print(f"{self.idx} is in case 1 in round {self.query_rnd}")
self.rnd_opinions[msg_rnd] = self.defuzzify(self.agg_opinions[msg_rnd - 1])
if self.query_rnd == msg_rnd and not self.is_byz:
self.opinion = self.defuzzify(self.agg_opinions[msg_rnd - 1]) - 1
self.decided = True
with num_decided_lock:
num_decided += 1
print(f"Individual {self.idx} decided {self.opinion} - Round opinions are {self.rnd_opinions} - phase two values are {self.phase_two_value} - aggregated values are {self.agg_opinions}")
with self.phase_one_is_finished_lock:
#self.phase_one_is_finished[msg_rnd] = True
self.phase_one_is_finished[msg_rnd] = False
elif self.defuzzify(self.phase_two_value[msg_rnd - 1]) == self.defuzzify(self.agg_opinions[msg_rnd - 1]) and self.defuzzify(self.agg_opinions[msg_rnd - 1]) == 1.5:
#print(f"{self.idx} is in case 2 in round {self.query_rnd}")
self.rnd_opinions[msg_rnd] = self.defuzzify(self.agg_opinions[msg_rnd - 1] + uniform(-0.5, 0.5))
with self.phase_one_is_finished_lock:
self.phase_one_is_finished[msg_rnd] = False
elif self.defuzzify(self.phase_two_value[msg_rnd - 1]) == 1.5 and not self.defuzzify(self.agg_opinions[msg_rnd - 1]) == 1.5:
#print(f"{self.idx} is in case 3 in round {self.query_rnd}")
self.rnd_opinions[msg_rnd] = self.defuzzify(self.agg_opinions[msg_rnd - 1])
with self.phase_one_is_finished_lock:
self.phase_one_is_finished[msg_rnd] = False
elif (not self.defuzzify(self.phase_two_value[msg_rnd - 1]) == 1.5) and self.defuzzify(self.agg_opinions[msg_rnd - 1]) == 1.5:
#print(f"{self.idx} is in case 4 in round {self.query_rnd}")
self.rnd_opinions[msg_rnd] = self.defuzzify(self.agg_opinions[msg_rnd - 1] + uniform(-0.5, 0.5))
with self.phase_one_is_finished_lock:
self.phase_one_is_finished[msg_rnd] = False
else:
#print(f"{self.idx} is in case 5 in round {self.query_rnd}")
self.rnd_opinions[msg_rnd] = self.defuzzify(self.agg_opinions[msg_rnd - 1])
with self.phase_one_is_finished_lock:
self.phase_one_is_finished[msg_rnd] = False
def send_msg(addr, val:str):
#print(f"Address is {addr}")
sck = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
try:
sck.connect(addr)
sck.send(val.encode())
sck.close()
#print("Done!")
return True
except:
#print("None!")
return False
def sample_individuals(indiv_idx):
pruned_individuals = list(range(num_individuals))
pruned_individuals.remove(indiv_idx)
addresses = []
for idx in pruned_individuals:
addresses.append(("127.0.0.1", individual_ports[idx]))
return addresses
num_individuals = 10
t = 2
port_base = 5030
ex_thr = 5
alpha = 1
beta = 2
k = 3
individual_ports = []
individual_opinions = []
individual_membership_params_zero = []
individual_membership_params_half = []
individual_membership_params_one = []
individual_thresholds_zero = []
individual_thresholds_one = []
individuals = {}
threads = []
indivs = []
num_decided = 0
num_decided_lock = threading.Lock()
#manual_initial_opinion = [2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2]
#manual_initial_opinion = [2, 1, 2, 2, 1, 2]
open("round_opinions_Fuzzy_Ben-Or.txt", "w").close()
for i in range(num_individuals):
individual_ports.append(port_base + i)
#individual_opinions.append(randint(-1, 1))
individual_opinions.append(randint(1, 2))
#individual_opinions.append(manual_initial_opinion[i])
individual_membership_params_zero.append(1.5)
individual_membership_params_half.append((1.25, 1.75))
#individual_membership_params_half.append((1.5 - 1 / (3 * num_individuals), 1.5 + 1 / (3 * num_individuals)))
individual_membership_params_one.append(1.5)
individual_thresholds_zero.append(1.2)
individual_thresholds_one.append(1.8)
byz_indices = np.sort(sample(list(range(num_individuals)), t))
print(f"Byzantine nodes are: {byz_indices}")
num_decided = len(byz_indices)
num_decided_lock = threading.Lock()
for i in range(num_individuals):
if i in byz_indices:
indivs.append(individual(i, 1, individual_opinions[i], ex_thr, individual_membership_params_zero[i], individual_membership_params_half[i], individual_membership_params_one[i], individual_thresholds_zero[i], individual_thresholds_one[i], "127.0.0.1", individual_ports[i]))
else:
indivs.append(individual(i, 0, individual_opinions[i], ex_thr, individual_membership_params_zero[i], individual_membership_params_half[i], individual_membership_params_one[i], individual_thresholds_zero[i], individual_thresholds_one[i], "127.0.0.1", individual_ports[i]))
threads.append(threading.Thread(target=indivs[i].listener, args=()))
threads[-1].start()
print(f"Initial opinions are {individual_opinions}")
while num_decided < num_individuals:
continue
print("Everyone decided!")