Rerun with numpy-1.23.5

Author: jklaise

alibi_detect/cd/sklearn/classifier.py

@@ -300,7 +300,7 @@ def _score_rf(self, x: Union[np.ndarray, list]) \
         if isinstance(x, np.ndarray):
             x_oob = x[idx_oob]
         elif isinstance(x, list):
-            x_oob = [x[_] for _ in idx_oob]  # type: ignore[assignment]
+            x_oob = [x[_] for _ in idx_oob]
         else:
             raise TypeError(f'x needs to be of type np.ndarray or list and not {type(x)}.')
         # comparison due to ordering in get_split (i.e, x = [x_ref, x])

alibi_detect/utils/perturbation.py

@@ -82,7 +82,7 @@ def apply_mask(X: np.ndarray,
         if mask_type == 'zero':
             update_val = 0
         else:
-            update_val = noise[_]  # type: ignore[assignment]
+            update_val = noise[_]
 
         for c in channels:
             mask[