code: def create_test_image(create_test_dir):
      test_dir = create_test_dir
      # Download one ImageNet pic for tests
      url = (
          "http://farm1.static.flickr.com/163/381342603_81db58bea4.jpg"
      )
      result = requests.get(url, stream=True)
      if result.status_code == 200:
          image = result.raw.read()
          f = open(os.path.join(test_dir, "test.jpg"), "wb")
          f.write(image)
          f.close()
  
      yield os.path.join(test_dir, "test.jpg")
  
imports: import importlib
  import json
  import logging
  import os
  import shutil
  import tempfile
  from typing import Dict, List, TYPE_CHECKING, Union
  import warnings
  import numpy
  import pytest
  import requests
  from art.data_generators import KerasDataGenerator, MXDataGenerator, PyTorchDataGenerator, TensorFlowDataGenerator, TensorFlowV2DataGenerator
  from art.defences.preprocessor import FeatureSqueezing, JpegCompression, SpatialSmoothing
  from art.estimators.classification import KerasClassifier
  from tests.utils import ARTTestFixtureNotImplemented, get_attack_classifier_pt, get_image_classifier_kr, get_image_classifier_kr_functional, get_image_classifier_kr_tf, get_image_classifier_kr_tf_functional, get_image_classifier_kr_tf_with_wildcard, get_image_classifier_mxnet_custom_ini, get_image_classifier_pt, get_image_classifier_pt_functional, get_image_classifier_tf, get_image_classifier_hf, get_image_gan_tf_v2, get_image_generator_tf_v2, get_tabular_classifier_kr, get_tabular_classifier_pt, get_tabular_classifier_scikit_list, get_tabular_classifier_tf, load_dataset, master_seed
label_desc: Use image node_id 22 for calling a global function with example usage: create_test_image(create_test_dir) without return types