def __init__(self, batchsize, buffersizeA, buffersizeB, buffersizeC):
self.batchsize = batchsize
self.buffersizeA = buffersizeA
self.buffersizeB = buffersizeB
self.buffersizeC = buffersizeC
self.samples = []
for i, seed in enumerate(seeds):
# print('Running {}th simulation at {}'.format(i, str(time() - start_time)))
factory = Factory(11, 8, self.batchsize, self.buffersizeA,
self.buffersizeB, self.buffersizeC, seed, duration, silent=True)
factory.play()
factory.start()
factory.update_stats()
sample = Sample(seed,
factory.stats['time'],
factory.stats['total produced'],
factory.stats['average produced'],
factory.stats['average throughput'])
self.samples.append(sample)
self.mean_produced, self.deviation_produced, *self.confidence_interval_produced = (
self.mean_confidence_interval([float(s.total_produced) for s in self.samples])
)
self.mean_throughput, self.deviation_throughput, *self.confidence_interval_throughput = (
self.mean_confidence_interval([float(s.average_throughput) for s in self.samples])
)
