code: def destructure_dictlist_list(
      client_batch: List[int],
      result_input_list: List[List[Dict[str, float]]],
  ) -> List[List[List[Dict[str, float]]]]:
      res_list: List[List[List[Dict[str, float]]]] = []
      start = 0
  
      for elems in client_batch:
          end = start + elems
          res_list.append(result_input_list[start:end])
          start = end
  
      return res_list
  
imports: from typing import Any, Dict, List, Optional, Tuple
  import torch
  from pytext.torchscript.tensorizer.tensorizer import ScriptTensorizer
label_desc: Use image node_id 16 for calling a global function with example usage: destructure_dictlist_list(client_batch, result_input_list) and returns: res_list