code: def postprocess(self, x):
      self.context.stopping_criteria = [
          self.context.cache[i]["stopping_criteria"]
          for i in self.context.request_ids.values()
      ]
      return x
  
file_path: serve/test/pytest/test_data/streaming/stream_handler.py
imports: import json
  import logging
  import types
  import torch
  from transformers import AutoModelForCausalLM, AutoTokenizer
  from ts.torch_handler.base_handler import BaseHandler
label_desc: Use image node_id 4 for calling the StreamingHandler obj's underlying member method code with example usage: obj.postprocess(x) and returns: x