code: def _process_dataframe(df):
      result_dict = {}
  
      for column in df.columns:
          unique_values = df[column].unique()
          sorted_values = sorted(unique_values)
          result_dict[column] = sorted_values
  
      return result_dict
  
imports: from fate.arch.dataframe import DataFrame
  import numpy
  import pandas
  import torch
label_desc: Use image node_id 1 for calling a global function with example usage: _process_dataframe(df) and returns: result_dict