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- from lottery import *
- import os
- import numpy
- from strategy import LinearStrategy
- os.system("rm f.hist; rm leads.hist")
- RUNNING_TIME = int(input("running time:"))
- NODES=100
- if __name__ == "__main__":
- darkies = []
- egalitarian = ERC20DRK/NODES
- darkies += [ Darkie(random.gauss(egalitarian, egalitarian*0.1), strategy=SigmoidStrategy(EPOCH_LENGTH), apy_window=EPOCH_LENGTH) for id in range(int(NODES)) ]
- #TODO try rpid with 0mint
- #darkies += [Darkie(0, strategy=LinearStrategy(EPOCH_LENGTH)) for _ in range(NODES)]
- airdrop = ERC20DRK
- effective_airdrop = 0
- for darkie in darkies:
- effective_airdrop+=darkie.stake
- print("network airdrop: {}, staked token: {}/{}% on {} nodes".format(airdrop, effective_airdrop, effective_airdrop/airdrop*100, len(darkies)))
- dt = DarkfiTable(airdrop, RUNNING_TIME, CONTROLLER_TYPE_DISCRETE, kp=-0.010399999999938556, ki=-0.0365999996461878, kd=0.03840000000000491, r_kp=0.01, r_ki=-154.52, r_kd=-0.504)
- for darkie in darkies:
- dt.add_darkie(darkie)
- acc, avg_apy, avg_reward, stake_ratio = dt.background_with_apy(rand_running_time=False)
- sum_zero_stake = sum([darkie.stake for darkie in darkies[NODES:]])
- print('acc: {}, avg(apy): {}, avg(reward): {}, stake_ratio: {}'.format(acc, avg_apy, avg_reward, stake_ratio))
- print('total stake of 0mint: {}, ration: {}'.format(sum_zero_stake, sum_zero_stake/ERC20DRK))
- dt.write()
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