          """ float: The coverage ratio that the model was trained at. """
          return self._coverage_ratio
  
      @property
      def centering(self):
          """ str: The centering that the model was trained on (`"face"` or `"legacy"`) """
          return self._centering
  
      @property
      def has_predicted_mask(self):
          """ bool: ``True`` if the model was trained to learn a mask, otherwise ``False``. """
 
</s> remove     def has_predicted_mask(self):
 </s> add     def has_predicted_mask(self) -> bool: </s> remove     def coverage_ratio(self):
 </s> add     def coverage_ratio(self) -> float: </s> remove     def output_size(self):
 </s> add     def output_size(self) -> int: </s> remove     def set_display_dimensions(self, dimensions):
 </s> add     def set_display_dimensions(self, dimensions: Tuple[int, int]) -> None: </s> remove     def _total_columns(self):
        """ Return the total number of images that are being displayed """
 </s> add     def _total_columns(self) -> int:
        """ int: The total number of images that are being displayed """
    def centering(self) -> "CenteringType":
        """ str: The centering that the model was trained on (`"head", "face"` or `"legacy"`) """
          """ float: The coverage ratio that the model was trained at. """
          return self._coverage_ratio
  
      @property
    def centering(self) -> "CenteringType":
        """ str: The centering that the model was trained on (`"head", "face"` or `"legacy"`) """
    def centering(self) -> "CenteringType":
        """ str: The centering that the model was trained on (`"head", "face"` or `"legacy"`) """
          return self._centering
  
      @property
      def has_predicted_mask(self):
          """ bool: ``True`` if the model was trained to learn a mask, otherwise ``False``. """
keep keep keep keep replace replace keep keep keep keep keep
 Bugfix: convert - Gif Writer
  - Fix non-launch error on Gif Writer
  - convert plugins - linting
  - convert/fs_media/preview/queue_manager - typing
  - Change convert items from dict to Dataclass 
scripts/convert.py