code: def default_preprocessing(df):
      """Adds a derived sex attribute based on personal_status."""
      # TODO: ignores the value of privileged_classes for 'sex'
      status_map = {
          "A91": "male",
          "A93": "male",
          "A94": "male",
          "A92": "female",
          "A95": "female",
      }
      df["sex"] = df["personal_status"].replace(status_map)
  
      return df
  
imports: import os
  import pandas
  from aif360.datasets import StandardDataset
label_desc: Use image node_id 1 for calling a global function with example usage: default_preprocessing(df) and returns: df