def to_dict()

in src/datatrove/utils/stats.py [0:0]

• 26 lines of code
• 3 McCabe index (conditional complexity)

    def to_dict(self):
        data = super().to_dict()
        if isinstance(data, dict):
            data["total_human"] = humanize.precisedelta(self.total)
            data["mean_human"] = humanize.precisedelta(
                datetime.timedelta(seconds=self.mean), minimum_unit="milliseconds"
            )
            data["std_dev_human"] = humanize.precisedelta(
                datetime.timedelta(seconds=self.standard_deviation), minimum_unit="milliseconds"
            )
            data["min_human"] = humanize.precisedelta(
                datetime.timedelta(seconds=self.min), minimum_unit="milliseconds"
            )
            data["max_human"] = humanize.precisedelta(
                datetime.timedelta(seconds=self.max), minimum_unit="milliseconds"
            )
            if self.n_tasks != 1:
                data["global_mean"] = self.global_mean
                data["global_mean_human"] = humanize.precisedelta(self.global_mean)
                data["global_min"] = self.global_min
                data["global_min_human"] = humanize.precisedelta(self.global_min)
                data["global_max"] = self.global_max
                data["global_max_human"] = humanize.precisedelta(self.global_max)
                data["global_std_dev"] = self.global_std_dev
                data["global_std_dev_human"] = humanize.precisedelta(self.global_std_dev)
        return data