PEP8

Signed-off-by: Beat Buesser <[email protected]>

Author: Beat Buesser

art/defences/detector/evasion/detector.py

@@ -157,7 +157,9 @@ def save(self, filename: str, path: Optional[str] = None) -> None:
         self.detector.save(filename, path)
 
 
-class BinaryActivationDetector(ClassGradientsMixin, ClassifierMixin, LossGradientsMixin, NeuralNetworkMixin, BaseEstimator):
+class BinaryActivationDetector(
+    ClassGradientsMixin, ClassifierMixin, LossGradientsMixin, NeuralNetworkMixin, BaseEstimator
+):
     """
     Binary detector of adversarial samples coming from evasion attacks. The detector uses an architecture provided by
     the user and is trained on the values of the activations of a classifier at a given layer.