code: def get_test_datagen(data_aug=None):
      if data_aug:
          featurewise_center = data_aug.featurewise_center
          featurewise_std_normalization = (
              data_aug.featurewise_std_normalization
          )
          samplewise_center = data_aug.samplewise_center
          samplewise_std_normalization = (
              data_aug.samplewise_std_normalization
          )
          rescale = data_aug.rescale
          zca_whitening = data_aug.zca_whitening
          test_datagen = keras.preprocessing.image.ImageDataGenerator(
              rescale=rescale,
              featurewise_center=featurewise_center,
              samplewise_center=samplewise_center,
              featurewise_std_normalization=featurewise_std_normalization,
              samplewise_std_normalization=samplewise_std_normalization,
              zca_whitening=zca_whitening,
          )
      else:
          test_datagen = keras.preprocessing.image.ImageDataGenerator()
      return test_datagen
  
imports: from ..None import utils
  from ..imports import *
  from .preprocessor import ImagePreprocessor
label_desc: Use image node_id 6 for calling a global function with example usage: get_test_datagen(data_aug) and returns: test_datagen