code: def test_single_image(self):
      model = self.model
      single_image = data[0][self.feature]
      prediction = model.predict(single_image)
      self.assertTrue(isinstance(prediction, (int, str)))
      prediction = model.predict_topk(single_image, k=2)
      _raise_error_if_not_sframe(prediction)
      prediction = model.classify(single_image)
      self.assertTrue(
          isinstance(prediction, dict)
          and "class" in prediction
          and "probability" in prediction
      )
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  import os
  import platform
  import sys
  import tempfile
  import unittest
  from turicreate.toolkits._main import ToolkitError
  from turicreate.toolkits._internal_utils import _mac_ver, _raise_error_if_not_sframe, _raise_error_if_not_sarray
  from turicreate.toolkits.image_analysis.image_analysis import MODEL_TO_FEATURE_SIZE_MAPPING, get_deep_features
  from .None import util
  import numpy
  import turicreate
label_desc: Use image node_id 9 for calling the ImageClassifierTest obj's underlying member method code with example usage: obj.test_single_image() without return types