code: def test_handle_kf(envelope_kf, context, image_bytes):
      image = Image.open(io.BytesIO(image_bytes))
      image_list = image_processing(image).tolist()
      test_data = {"body": {"instances": [{"data": image_list}]}}
  
      # testing for predict API
      results = envelope_kf.handle([test_data], context)
      assert results[0]["predictions"][0] in range(0, 9)
  
file_path: serve/ts/torch_handler/unit_tests/test_mnist_kf.py
imports: import io
  import shutil
  import sys
  from pathlib import Path
  import pytest
  import torchvision.transforms
  from PIL import Image
  from examples.image_classifier.mnist.mnist_handler import MNISTDigitClassifier
  from ts.torch_handler.request_envelope import kserve, kservev2
  from .test_utils.mock_context import MockContext
label_desc: Use image node_id 7 for calling a global function with example usage: test_handle_kf(envelope_kf, context, image_bytes) without return types