code: def filter_by_top_k(metrics, k, take_high=True):
      # strict top k
      if k == 0:
          return pd.Series(np.ones(len(metrics)), dtype=bool)
      # stable sort
      ordered_metrics = metrics.sort_values(
          ascending=not take_high, kind="mergesort"
      )
      select_k = ordered_metrics.index[:k]
      return metrics.index.isin(select_k)
  
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 13 for calling the StandardSelection obj's underlying member method code with example usage: obj.filter_by_top_k(metrics, k, take_high) and returns: metrics, pd