def aggregate()

in benchmark/benchmark/aggregate.py [0:0]

• 8 lines of code
• 6 McCabe index (conditional complexity)

    def aggregate(cls, results):
        if len(results) == 1:
            return results[0]

        mean_tps = round(mean([x.mean_tps for x in results]))
        mean_latency = round(mean([x.mean_latency for x in results]))
        std_tps = round(stdev([x.mean_tps for x in results]))
        std_latency = round(stdev([x.mean_latency for x in results]))
        return cls(mean_tps, mean_latency, std_tps, std_latency)