          The size, in pixels, of the stored mask across its height and width.
      stored_centering: str
          The centering that the mask is stored at. One of `"legacy"`, `"face"`, `"head"`
      """
      def __init__(self, storage_size=128, storage_centering="face"):
          logger.trace("Initializing: %s (storage_size: %s, storage_centering: %s)",
                       self.__class__.__name__, storage_size, storage_centering)
          self.stored_size = storage_size
          self.stored_centering = storage_centering
  
          self._mask = None
 
</s> remove         logger.trace("name: '%s', mask shape: %s, affine_matrix: %s, interpolator: %s, "
                     "storage_size: %s, storage_centering: %s)", name, mask.shape, affine_matrix,
                     interpolator, storage_size, storage_centering)
 </s> add         logger.trace("name: '%s', mask shape: %s, affine_matrix: %s, "  # type: ignore
                     "interpolator: %s, storage_size: %s, storage_centering: %s)", name,
                     mask.shape, affine_matrix, interpolator, storage_size, storage_centering) </s> remove         self._mask = None
        self._affine_matrix = None
        self._interpolator = None
 </s> add         self._mask: Optional[bytes] = None
        self._affine_matrix: Optional[np.ndarray] = None
        self._interpolator: Optional[int] = None </s> remove          centering: str
 </s> add         centering: str </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         affine_matrix: numpy,ndarray
 </s> add         affine_matrix: :class:`numpy,ndarray`
    def __init__(self,
                 storage_size: int = 128,
                 storage_centering: "CenteringType" = "face") -> None:
        logger.trace("Initializing: %s (storage_size: %s, storage_centering: %s)",  # type: ignore
          The size, in pixels, of the stored mask across its height and width.
      stored_centering: str
          The centering that the mask is stored at. One of `"legacy"`, `"face"`, `"head"`
      """
    def __init__(self,
                 storage_size: int = 128,
                 storage_centering: "CenteringType" = "face") -> None:
        logger.trace("Initializing: %s (storage_size: %s, storage_centering: %s)",  # type: ignore
    def __init__(self,
                 storage_size: int = 128,
                 storage_centering: "CenteringType" = "face") -> None:
        logger.trace("Initializing: %s (storage_size: %s, storage_centering: %s)",  # type: ignore
                       self.__class__.__name__, storage_size, storage_centering)
          self.stored_size = storage_size
          self.stored_centering = storage_centering
  
          self._mask = None
keep keep keep keep replace 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 
lib/align/detected_face.py