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[research/lotterysim] emulate slashing as random process with certain low probability

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This commit is contained in:
ertosns
2023-07-17 15:35:39 +03:00
parent e9e2de886d
commit f20c88b2f1
3 changed files with 12 additions and 9 deletions
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3
script/research/lotterysim/core/constants.py
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@@ -40,4 +40,5 @@ BASE_L = 0.0001*L
BASE_L_HP = Num(BASE_L)
# HEADSTART AIRDROP period ~ 1 month
HEADSTART_AIRDROP=28800
HEADSTART_AIRDROP=2880
SLASHING_RATIO = 0.0001

14
script/research/lotterysim/core/lottery.py
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@@ -5,7 +5,7 @@ from datetime import timedelta
from core.darkie import *
from pid.cascade import *
from tqdm import tqdm
import random
class DarkfiTable:
def __init__(self, airdrop, running_time, controller_type=CONTROLLER_TYPE_DISCRETE, kp=0, ki=0, kd=0, dt=1, kc=0, ti=0, td=0, ts=0, debug=False, r_kp=0, r_ki=0, r_kd=0):
self.Sigma=airdrop
@@ -52,12 +52,10 @@ class DarkfiTable:
total_stake = 0
for i in range(len(self.darkies)):
self.darkies[i].set_sigma_feedback(self.Sigma, feedback, f, count, hp)
#self.darkies[i].update_vesting()
self.darkies[i].update_vesting()
self.darkies[i].run(hp)
total_stake += self.darkies[i].stake
#if self.darkies[i].stake>0:
#print('darkie {} has stake {} for slot {}'.format(i, self.darkies[i].stake, count))
#print('reward: {}'.format(rewards[-1]))
for i in range(len(self.darkies)):
winners += self.darkies[i].won_hist[-1]
###
@@ -66,6 +64,10 @@ class DarkfiTable:
if self.winners[-1]==1:
for i in range(len(self.darkies)):
if self.darkies[i].won_hist[-1]:
if random.random() < SLASHING_RATIO:
self.darkies.remove(self.darkies[i])
print('stakeholder {} slashed'.format(i))
break
self.darkies[i].update_stake(self.rewards[-1])
break
# resolve finalization
@@ -91,7 +93,7 @@ class DarkfiTable:
break
self.darkies[darkie_winning_idx].resync_stake(resync_reward)
self.Sigma += resync_reward
rt_range.set_description('issuance {} DRK, acc: {}, stake = {}%'.format(round(sum(self.rewards),2), round(acc,2), round(total_stake/self.Sigma*100 if self.Sigma>0 else 0,2)))
rt_range.set_description('issuance {} DRK, acc: {}, stake = {}%, sr: {}%, reward:{}'.format(round(sum(self.rewards),2), round(acc,2), round(total_stake/self.Sigma*100 if self.Sigma>0 else 0,2), self.avg_stake_ratio()*100, self.rewards[-1]))
#print('[2]stake: {}, sigma: {}, reward: {}'.format(total_stake, self.Sigma, self.rewards[-1]))
assert(round(total_stake,1) <= round(self.Sigma,1))
count+=1

4
script/research/lotterysim/discrete_instance_pi_headstart.py
View File

@@ -10,11 +10,11 @@ from draw import draw
os.system("rm log/*_feedback.hist; rm log/*_output.hist")
RUNNING_TIME = int(input("running time:"))
NODES=100
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, r_kp=-0.63, r_ki=3.35, r_kd=0)
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)
for darkie in darkies:
dt.add_darkie(darkie)
acc, avg_apy, avg_reward, stake_ratio, avg_apr = dt.background(rand_running_time=False)