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- # 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)
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