code: def _convert_sample_pos_to_score(
      s: pd.Series, tree_nodes: List[Node]
  ):
      node_idx = s.iloc[0]
      if node_idx < 0:
          node_idx = -(node_idx + 1)
      target_node = tree_nodes[node_idx]
      if not target_node.is_leaf:
          raise ValueError("this sample is not on a leaf node")
      return target_node.weight
  
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 6 for calling a global function with example usage: _convert_sample_pos_to_score(s, tree_nodes) and returns: target_node