code: def destructure_any_list(
      client_batch: List[int], result_any_list: List[Any]
  ):  # -> List[List[Any]]:
      res_list: List[
          List[Any]
      ] = []  # torch.jit.annotate(List[List[Any]], [])
  
      start = 0
  
      for elems in client_batch:
          torch._assert(elems > 0, "zero or negative range error")
          end = start + elems
          res_list.append(result_any_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 13 for calling a global function with example usage: destructure_any_list(client_batch, result_any_list) and returns: res_list