# Run some experiments and store all values
to_run = []
for latency in [0 + i * 0.001 for i in range(0, 50)]:
    to_run.append((latency, 0.0))
for latency in [0 + i * 0.001 for i in range(50, 600, 50)]:
    to_run.append((latency, 0.0))
for latency in [0 + i * 0.001 for i in range(0, 50)]:
    to_run.append((0.0, latency))
for latency in [0 + i * 0.001 for i in range(50, 600, 50)]:
    to_run.append((latency, 0.0))

to_run = [(0.0, 0.0), (0.2, 0.2), (0.1, 0.1), (0.0, 0.2)]
print(to_run)
print("NR simulations: " + str(len(to_run)))

def run_simulation(latency):
    import sys
    sys.path.append("model")
    from model import simulate
    latency_mvi, latency_mvs = latency
    print("SIMULATE for " + str(latency))
    result = simulate({"mvi2mvk_latency": 0.0, "mvk2mvs_latency": 0.0})
    print("(%s, %s) --> %s" % (latency_mvi, latency_mvs, result))
    return result

from multiprocessing import Pool
pool = Pool(processes=4)
results = pool.map(run_simulation, to_run)

print(dict(to_run, results))
with open("simloop_results", 'w') as f:
    json.dump(f, results)