benchmark/benchmark/aggregate.py [48:67]:
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        rate = int(search(r'Input rate: (\d+)', raw).group(1))
        tx_size = int(search(r'Transaction size: (\d+)', raw).group(1))
        return cls(faults, nodes, workers, collocate, rate, tx_size)


class Result:
    def __init__(self, mean_tps, mean_latency, std_tps=0, std_latency=0):
        self.mean_tps = mean_tps
        self.mean_latency = mean_latency
        self.std_tps = std_tps
        self.std_latency = std_latency

    def __str__(self):
        return(
            f' TPS: {self.mean_tps} +/- {self.std_tps} tx/s\n'
            f' Latency: {self.mean_latency} +/- {self.std_latency} ms\n'
        )

    @classmethod
    def from_str(cls, raw):
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benchmark/data/paper-data/plot-script.py [65:84]:
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        rate = int(search(r'Input rate: (\d+)', raw).group(1))
        tx_size = int(search(r'Transaction size: (\d+)', raw).group(1))
        return cls(faults, nodes, workers, collocate, rate, tx_size)


class Result:
    def __init__(self, mean_tps, mean_latency, std_tps=0, std_latency=0):
        self.mean_tps = mean_tps
        self.mean_latency = mean_latency
        self.std_tps = std_tps
        self.std_latency = std_latency

    def __str__(self):
        return(
            f' TPS: {self.mean_tps} +/- {self.std_tps} tx/s\n'
            f' Latency: {self.mean_latency} +/- {self.std_latency} ms\n'
        )

    @classmethod
    def from_str(cls, raw):
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