utils/ltr_metrics.py [123:130]:
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        if train_class_count[i] > many_shot_thr:
            many_shot.append(fp_num)
        elif train_class_count[i] < low_shot_thr:
            low_shot.append(fp_num)
        else:
            median_shot.append(fp_num)    

    return np.nanmean(many_shot), np.nanmean(median_shot), np.nanmean(low_shot)
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