code: def filter_multiple_metrics(metrics, metric_conf):
      filter_type_list = metric_conf["filter_type"]
      threshold_list = metric_conf["threshold"]
      take_high_list = metric_conf["take_high"]
      result = pd.Series(
          np.ones(len(metrics.index)), index=metrics.index, dtype=bool
      )
      for idx in range(len(filter_type_list)):
          result &= StandardSelection.filter_metrics(
              metrics,
              filter_type_list[idx],
              threshold_list[idx],
              take_high_list[idx],
          )
      return result
  
imports: import copy
  import logging
  import math
  import random
  import numpy
  import pandas
  from fate.arch import Context
  from ..abc.module import HeteroModule, Module
label_desc: Use image node_id 11 for calling the StandardSelection obj's underlying member method code with example usage: obj.filter_multiple_metrics(metrics, metric_conf) and returns: result