Mypy updates

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

Author: Beat Buesser

art/estimators/estimator.py

@@ -109,7 +109,7 @@ def _update_preprocessing_operations(self):
             raise ValueError("Preprocessing argument not recognised.")
 
     @staticmethod
-    def _set_preprocessing(preprocessing: Union["PREPROCESSING_TYPE", "Preprocessor"]) -> "Preprocessor":
+    def _set_preprocessing(preprocessing: Optional[Union["PREPROCESSING_TYPE", "Preprocessor"]]) -> Optional["Preprocessor"]:
         from art.defences.preprocessor.preprocessor import Preprocessor
 
         if preprocessing is None:

art/estimators/generation/tensorflow.py

@@ -201,15 +201,6 @@ def model(self) -> "tf.Tensor":
         """
         return self._model
 
-    @property
-    def input_ph(self) -> "tf.Placeholder":
-        """
-        Returns the encoding seed input of the generator of shape `(batch_size, encoding_length)`.
-
-        :return: The encoding seed input of the generator.
-        """
-        return self._input_ph
-
     @property
     def encoding_length(self) -> int:
         """

art/metrics/privacy/membership_leakage.py

@@ -27,7 +27,7 @@
 from art.utils import check_and_transform_label_format, is_probability
 
 if TYPE_CHECKING:
-    from art.estimators.classification import Classifier
+    from art.estimators.classification.classifier import Classifier
 
 
 def PDTP(

art/utils.py

@@ -57,7 +57,9 @@
     from art.defences.preprocessor.preprocessor import Preprocessor
 
     PREPROCESSING_TYPE = Optional[
-        Tuple[Union[int, float, np.ndarray], Union[int, float, np.ndarray]], Preprocessor, Tuple[Preprocessor, ...]
+        Union[
+            Tuple[Union[int, float, np.ndarray], Union[int, float, np.ndarray]], Preprocessor, Tuple[Preprocessor, ...]
+        ]
     ]
 
     from art.estimators.classification.classifier import (