📧 LoopixDES
The Loopix Anonymity System Discrete-Event Simulator
Requirements:
gym
tqdm
numpy
simpy
tensorflow
*Tensorflow 2 is required.
To run:
$python runner.py
or manually:
from loopixdes.env import LoopixEnv
from loopixdes.defaults import DEFAULT_PARAMS
env = LoopixEnv()
state = env.reset(seed=0, options={})
for _ in range(10):
params = np.array(list(DEFAULT_PARAMS.values()))
state, reward, done, _ = env.step(params)
For Tensorboard:
$tensorboard --logdir runs
Full documentation coming soon...