code: def power_mean(series, p):
      total = sum(np.power(series, p))
      return np.power(total / len(series), 1 / p)
  
file_path: detoxify/model_eval/compute_bias_metric.py
imports: import argparse
  import json
  import numpy
  import pandas
  from sklearn.metrics import roc_auc_score
  from utils import compute_auc, compute_subgroup_auc
label_desc: Use image node_id 7 for calling a global function with example usage: power_mean(series, p) and returns: np