code: def add_split(self, val):
      self.split += val
  
imports: import numpy
  import pandas
  from fate.arch import Context
  from fate.arch.dataframe import DataFrame
  from fate.ml.ensemble.learner.decision_tree.tree_core.splitter import SplitInfo
  from typing import List
  import logging
label_desc: Use image node_id 3 for calling the FeatureImportance obj's underlying member method code with example usage: obj.add_split(val) without return types