class_docstr: A unittest class for testing the GaussianNoise postprocessor.
class_docstr_tok: ["A","unittest","class","for","testing","the","GaussianNoise","postprocessor","."]
code: def test_super(self):
      gan = GaussianNoise(scale=0.1)
      self.assertTrue(gan.is_fitted)
      self.assertFalse(gan._apply_fit)
      self.assertTrue(gan._apply_predict)
      gan.fit(preds=np.array([0.1, 0.2, 0.3]))
  
file_path: adversarial-robustness-toolbox/tests/defences/test_gaussian_noise.py
imports: import logging
  import unittest
  import numpy
  from art.defences.postprocessor import GaussianNoise
  from art.utils import load_dataset
  from tests.utils import master_seed, get_image_classifier_kr_tf, get_image_classifier_kr_tf_binary
label_desc: Use image node_id 7 for calling the TestGaussianNoise obj's underlying member method code with example usage: obj.test_super() without return types