Update format

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

Author: Beat Buesser

art/attacks/evasion/adversarial_patch/adversarial_patch_numpy.py

@@ -144,9 +144,9 @@ def __init__(
         self.patch_shape = self.image_shape
 
         self.patch = None
-        self.mean_value = (self.estimator.clip_values[1] - self.estimator.clip_values[0]) / 2.0 + self.estimator.clip_values[
-            0
-        ]
+        self.mean_value = (
+            self.estimator.clip_values[1] - self.estimator.clip_values[0]
+        ) / 2.0 + self.estimator.clip_values[0]
         self.reset_patch(self.mean_value)
 
     def generate(self, x: np.ndarray, y: Optional[np.ndarray] = None, **kwargs) -> Tuple[np.ndarray, np.ndarray]:

art/attacks/evasion/adversarial_patch/adversarial_patch_tensorflow.py

@@ -481,4 +481,4 @@ def reset_patch(self, initial_patch_value: Optional[Union[float, np.ndarray]]) -
         elif self.patch.shape == initial_patch_value.shape:
             self._patch.assign(initial_patch_value)
         else:
-            raise ValueError("Unexpected value for initial_patch_value.")
+            raise ValueError("Unexpected value for initial_patch_value.")