  
          for face, landmarks in zip(batch["detected_faces"], batch["landmarks"]):
              if not isinstance(landmarks, np.ndarray):
                  landmarks = np.array(landmarks)
              face.landmarks_xy = landmarks
  
          logger.trace("Item out: %s", {key: val.shape if isinstance(val, np.ndarray) else val
                                        for key, val in batch.items()})
  
          for filename, face in zip(batch["filename"], batch["detected_faces"]):
 
</s> remove                 # pylint:disable=unsubscriptable-object
 </s> add  </s> remove         self.landmarks_xy = landmarks.copy()
 </s> add         self._landmarks_xy = landmarks.copy() </s> remove         self.x = alignment["x"]
        self.w = alignment["w"]
        self.y = alignment["y"]
        self.h = alignment["h"]
 </s> add         self.left = alignment["x"]
        self.width = alignment["w"]
        self.top = alignment["y"]
        self.height = alignment["h"] </s> remove         for key in ("mask", "affine_matrix", "interpolator", "stored_size", "stored_centering"):
            val = mask_dict.get(key)
            val = "face" if key == "stored_centering" and val is None else val
            if key == "affine_matrix" and not isinstance(val, np.ndarray):
                val = np.array(val, dtype="float64")
            setattr(self, self._attr_name(key), val)
            logger.trace("%s - %s", key, val if key != "mask" else type(val))

    @staticmethod
    def _attr_name(dict_key):
        """ The :class:`Mask` attribute name for the given dictionary key

        Parameters
        ----------
        dict_key: str
            The key name from an alignments dictionary

        Returns
        -------
        attribute_name: str
            The attribute name for the given key for :class:`Mask`
        """
        retval = "_{}".format(dict_key) if not dict_key.startswith("stored") else dict_key
        logger.trace("dict_key: %s, attribute_name: %s", dict_key, retval)
        return retval
 </s> add         self._mask = mask_dict["mask"]
        affine_matrix = mask_dict["affine_matrix"]
        self._affine_matrix = (affine_matrix if isinstance(affine_matrix, np.ndarray)
                               else np.array(affine_matrix, dtype="float64"))
        self._interpolator = mask_dict["interpolator"]
        self.stored_size = mask_dict["stored_size"]
        centering = mask_dict.get("stored_centering")
        self.stored_centering = "face" if centering is None else centering
        logger.trace({k: v if k != "mask" else type(v)  # type: ignore
                      for k, v in mask_dict.items()}) </s> remove         retval = dict()
        for key in ("mask", "affine_matrix", "interpolator", "stored_size", "stored_centering"):
            val = getattr(self, self._attr_name(key))
            if isinstance(val, np.ndarray):
                retval[key] = val.tolist()
            else:
                retval[key] = val
        logger.trace({k: v if k != "mask" else type(v) for k, v in retval.items()})
        return retval
 </s> add         return self.to_dict(is_png=True)
            face._landmarks_xy = landmarks
  
          for face, landmarks in zip(batch["detected_faces"], batch["landmarks"]):
              if not isinstance(landmarks, np.ndarray):
                  landmarks = np.array(landmarks)
            face._landmarks_xy = landmarks
  
          logger.trace("Item out: %s", {key: val.shape if isinstance(val, np.ndarray) else val
                                        for key, val in batch.items()})
  
          for filename, face in zip(batch["filename"], batch["detected_faces"]):
keep keep keep keep replace keep keep keep keep keep
 lib.align updates:
  - alignments.py
    - Add typed dicts for imported alignments
    - Explicitly check for presence of thumb value in alignments dict
    - linting
  - detected_face.py
    - Typing
    - Linting
    - Legacy support for pre-aligned face
    - Update dependencies to new property names 
plugins/extract/align/_base.py