50144fec311ae3905f89831b7b0283964212593f,python/xpctl/sql/backend.py,SQLRepo,get_results,#SQLRepo#Any#Any#Any#Any#Any#Any#,229

Before Change

        if len(metric) == 1:
            metric = metric[0]
            if metric == "avg_loss" or metric == "perplexity":
                result_frame = frame.sort_values(metric, ascending=True)
            else:
                result_frame = frame.sort_values(metric, ascending=False)
        if sort:
            if sort == "avg_loss" or sort == "perplexity":
                frame = result_frame.sort_values(sort, ascending=True)
            else:
                frame = result_frame.sort_values(sort, ascending=False)
        return frame

After Change

                    results.append(result)
        cols = ["id", "username", "label", "dataset", "sha1", "date"] + metrics_to_add
        result_frame = pd.DataFrame(results, columns=cols)
        if not result_frame.empty:
            return df_get_results(result_frame, dataset, num_exps, metric, sort)
        return None

    def experiment_details(self, user, metric, sort, task, event_type, sha1, n):
        session = self.Session()

Instances