code: def mnist_model_register_and_scale_using_non_existent_handler_synchronous():
      # Register & Scale model
      response = (
          mnist_model_register_using_non_existent_handler_then_scale_up(
              synchronous=True
          )
      )
      mnist_list = json.loads(response.content)
      try:
          # Workers should not scale up
          assert len(mnist_list[0]["workers"]) == 0
      finally:
          # UnRegister mnist model
          test_utils.unregister_model("mnist")
  
imports: import ast
  import json
  import logging
  import os
  import numpy
  import pytest
  import requests
  import test_utils
  import torch
label_desc: Use image node_id 5 for calling a global function with example usage: mnist_model_register_and_scale_using_non_existent_handler_synchronous() without return types