                                                         self._centering,
                                                         predicted_mask=predicted_mask)
          logger.trace("Adding mask to alpha channel")
          new_face = np.concatenate((new_face, mask), -1)
          logger.trace("Got mask. Image shape: %s", new_face.shape)
          return new_face, raw_mask
  
      def _post_warp_adjustments(self, background, new_image):
          """ Perform any requested adjustments to the swapped faces after they have been transformed
          into the final frame.
 
</s> remove     def _post_warp_adjustments(self, background, new_image):
 </s> add     def _post_warp_adjustments(self, background: np.ndarray, new_image: np.ndarray) -> np.ndarray: </s> remove         mask, raw_mask = self._adjustments["mask"].run(detected_face,
                                                       reference_face.pose.offset[mask_centering],
                                                       reference_face.pose.offset[self._centering],
                                                       self._centering,
                                                       predicted_mask=predicted_mask)
        logger.trace("Adding mask to alpha channel")
 </s> add         assert self._adjustments.mask is not None
        mask, raw_mask = self._adjustments.mask.run(detected_face,
                                                    reference_face.pose.offset[mask_centering],
                                                    reference_face.pose.offset[self._centering],
                                                    self._centering,
                                                    predicted_mask=predicted_mask)
        logger.trace("Adding mask to alpha channel")  # type: ignore </s> remove         logger.trace("Getting mask. Image shape: %s", new_face.shape)
 </s> add         logger.trace("Getting mask. Image shape: %s", new_face.shape)  # type: ignore </s> remove     def _get_image_mask(self, new_face, detected_face, predicted_mask, reference_face):
 </s> add     def _get_image_mask(self,
                        new_face: np.ndarray,
                        detected_face: "DetectedFace",
                        predicted_mask: Optional[np.ndarray],
                        reference_face: "AlignedFace") -> Tuple[np.ndarray, np.ndarray]:
        logger.trace("Got mask. Image shape: %s", new_face.shape)  # type: ignore
                                                         self._centering,
                                                         predicted_mask=predicted_mask)
          logger.trace("Adding mask to alpha channel")
          new_face = np.concatenate((new_face, mask), -1)
        logger.trace("Got mask. Image shape: %s", new_face.shape)  # type: ignore
          return new_face, raw_mask
  
      def _post_warp_adjustments(self, background, new_image):
          """ Perform any requested adjustments to the swapped faces after they have been transformed
          into the final frame.
keep keep keep keep 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 
lib/convert.py