code: def test_kserve_mnist_model_register_scale_inference_with_non_existent_handler():
      response = (
          mnist_model_register_using_non_existent_handler_then_scale_up()
      )
      mnist_list = json.loads(response.content)
      assert len(mnist_list[0]["workers"]) > 1
      with open(input_json_mnist, "r") as f:
          s = f.read()
          s = s.replace("'", '"')
          data = json.loads(s)
  
      response = run_inference_using_url_with_data_json(
          KF_INFERENCE_API + "/v1/models/mnist:predict", data
      )
  
      if response is None:
          assert True, "Inference failed as the handler is non existent"
      else:
          if json.loads(response.content) == 1:
              assert False, (
                  "Something is not right!! Somehow Inference passed "
                  "despite passing non existent handler"
              )
  
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 14 for calling a global function with example usage: test_kserve_mnist_model_register_scale_inference_with_non_existent_handler() without return types