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darkfi/script/research/lotterysim/discrete_instance_pi_headstart.py

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1.9 KiB
Python

import os
import numpy
from core.strategy import *
from core.lottery import *
import matplotlib.pyplot as plt
import scipy.stats as stats
import math
from draw import draw
os.system("rm log/*_feedback.hist; rm log/*_output.hist")
RUNNING_TIME = int(input("running time:"))
NODES=1000
if __name__ == "__main__":
darkies = [Darkie(0, strategy=LinearStrategy(EPOCH_LENGTH)) for _ in range(NODES)]
#dt = DarkfiTable(0, RUNNING_TIME, CONTROLLER_TYPE_DISCRETE, kp=-0.010399999999938556, ki=-0.0365999996461878, kd=0.03840000000000491, r_kp=-2.53, r_ki=29.5, r_kd=53.77)
dt = DarkfiTable(0, RUNNING_TIME, CONTROLLER_TYPE_DISCRETE, kp=-0.010399999999938556, ki=-0.0365999996461878, kd=0.03840000000000491, r_kp=-0.719, r_ki=1.6, r_kd=0.1)
for darkie in darkies:
dt.add_darkie(darkie)
acc, avg_apy, avg_reward, stake_ratio, avg_apr = dt.background(rand_running_time=False)
sum_zero_stake = sum([darkie.stake for darkie in darkies[NODES:]])
print('acc: {}, avg(apr): {}, avg(reward): {}, stake_ratio: {}'.format(acc, avg_apr, avg_reward, stake_ratio))
print('total stake of 0mint: {}, ratio: {}'.format(sum_zero_stake, sum_zero_stake/ERC20DRK))
dt.write()
aprs = []
fortuners = 0.0
for darkie in darkies:
aprs += [float(darkie.apr_scaled_to_runningtime())]
if darkie.initial_stake[-1] - darkie.initial_stake[0] > 0:
fortuners+=1
print('fortuners: {}'.format(str(fortuners/len(darkies))))
# distribution of aprs
aprs = sorted(aprs)
mu = float(sum(aprs)/len(aprs))
shifted_aprs = [apr - mu for apr in aprs]
plt.plot([apr*100 for apr in aprs])
plt.title('annual percentage return, avg: {:}'.format(mu*100))
plt.savefig('img/apr_distribution.png')
plt.show()
variance = sum(shifted_aprs)/(len(aprs)-1)
print('mu: {}, variance: {}'.format(str(mu), str(variance)))
draw()