mirror of
https://github.com/darkrenaissance/darkfi.git
synced 2026-04-28 03:00:18 -04:00
49 lines
1.4 KiB
Python
49 lines
1.4 KiB
Python
import random
|
|
import math
|
|
import numpy as np
|
|
from core.constants import *
|
|
|
|
# naive factorial
|
|
def fact(n, hp=False):
|
|
assert (n>0)
|
|
n = int(n)
|
|
if n==1:
|
|
return Num(1) if hp else 1
|
|
elif n==2:
|
|
return Num(2) if hp else 2
|
|
else:
|
|
return (Num(n) if hp else n)* fact(n-1, hp)
|
|
"""
|
|
approximate ouroboros phi function
|
|
all inputs to this function are integers
|
|
@param sigmas: n sigmas of n-term approximation of phi target function
|
|
@param stake: stakeholder stake
|
|
@returns: target value T
|
|
"""
|
|
def approx_target_in_zk(sigmas, stake):
|
|
# both sigma_1, sigma_2 are constants, if f is a constant.
|
|
# if f is constant then sigma_12, sigma_2
|
|
# this dictates that tuning need to be hardcoded,
|
|
# secondly the reward, or at least the total stake in the network,
|
|
# can't be anonymous, should be public.
|
|
T = 0
|
|
for i, sigma in enumerate(sigmas):
|
|
try:
|
|
T += Num(sigma)*Num(stake)**(i+1)
|
|
except Exception as e:
|
|
T +=0
|
|
|
|
return-1*T
|
|
|
|
def rnd(hp=False):
|
|
return Num(random.random()) if hp else random.random()
|
|
|
|
def lottery(T, hp=False, log=False):
|
|
y = rnd(hp) * (L_HP if hp else L)
|
|
if log:
|
|
lottery_line = str(y)+","+str(T)+"\n"
|
|
with open("/tmp/sim_lottery_history.log", "a+") as f:
|
|
f.write(lottery_line)
|
|
won = y < T if y is not None and T is not None else False
|
|
return won, y
|