                  self._predictor.in_queue.put(frame)
              idx = 0
              while idx < self._sample_size:
                  logger.debug("Predicting face %s of %s", idx + 1, self._sample_size)
                  items = self._predictor.out_queue.get()
                  if items == "EOF":
                      logger.debug("Received EOF")
                      break
                  for item in items:
                      self._predicted_images.append(item)
 
</s> remove             logger.trace("Patching image %s of %s", idx + 1, sample_size)
 </s> add             logger.trace("Patching image %s of %s", idx + 1, sample_size)  # type: ignore </s> remove             logger.trace("Patched image %s of %s", idx + 1, sample_size)
 </s> add             logger.trace("Patched image %s of %s", idx + 1, sample_size)  # type: ignore </s> remove         logger.trace("Patching faces")
 </s> add         logger.trace("Patching faces")  # type: ignore </s> remove         logger.trace("Patched faces")
 </s> add         logger.trace("Patched faces")  # type: ignore </s> remove             items = in_queue.get()
            if items == "EOF":
 </s> add             inbound: Union[Literal["EOF"], "ConvertItem", List["ConvertItem"]] = in_queue.get()
            if inbound == "EOF":
                items: Union[Literal["EOF"],
                             List[Tuple[ConvertItem,
                                        np.ndarray]]] = self._predictor.out_queue.get()
                  self._predictor.in_queue.put(frame)
              idx = 0
              while idx < self._sample_size:
                  logger.debug("Predicting face %s of %s", idx + 1, self._sample_size)
                items: Union[Literal["EOF"],
                             List[Tuple[ConvertItem,
                                        np.ndarray]]] = self._predictor.out_queue.get()
                  if items == "EOF":
                      logger.debug("Received EOF")
                      break
                  for item in items:
                      self._predicted_images.append(item)
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 
tools/preview/preview.py