code: def binning(data: DataFrame, max_bin=32):
      quantile = [i / max_bin for i in range(0, max_bin)]
      quantile_values = data.quantile(quantile)
      result_dict = _process_dataframe(quantile_values)
  
      return result_dict
  
imports: from fate.arch.dataframe import DataFrame
  import numpy
  import pandas
  import torch
label_desc: Use image node_id 2 for calling a global function with example usage: binning(data, max_bin) and returns: result_dict