def _print_tps()

in benchmark/data/paper-data/plot-script.py [0:0]

• 25 lines of code
• 12 McCabe index (conditional complexity)

    def _print_tps(self, scalability):
        records = deepcopy(self.records)
        organized = defaultdict(list)
        for max_latency in self.max_latencies:
            for setup, result in records.items():
                setup = deepcopy(setup)
                if result.mean_latency <= max_latency:
                    setup.rate = 'any'
                    setup.max_latency = max_latency
                    if scalability:
                        variable = setup.workers
                        setup.workers = 'x'
                    else:
                        variable = setup.nodes
                        setup.nodes = 'x'

                    new_point = all(variable != x[0] for x in organized[setup])
                    highest_tps = False
                    for v, r in organized[setup]:
                        if result.mean_tps > r.mean_tps and variable == v:
                            organized[setup].remove((v, r))
                            highest_tps = True
                    if new_point or highest_tps:
                        organized[setup] += [(variable, result)]

        [v.sort(key=lambda x: x[0]) for v in organized.values()]
        return 'tps', organized