          retval = f"{prefix}alignments.fsa"
          logger.trace("Extracted alignments file filename: '%s'", retval)
          return retval
  
      def _extract_alignment(self, metadata: dict) -> Tuple[str, int, dict]:
          """ Extract alignment data from a PNG image's itxt header.
  
          Formats the landmarks into a numpy array and adds in mask centering information if it is
          from an older extract.
  
 
</s> remove         logger.trace("Extracted alignments file filename: '%s'", retval)
 </s> add         logger.trace("Extracted alignments file filename: '%s'", retval)  # type:ignore </s> remove             logger.trace("Returning: '%s'", retval)
 </s> add             logger.trace("Returning: '%s'", retval)  # type:ignore </s> remove     def _sort_alignments(self, alignments: dict) -> dict:
 </s> add     def _sort_alignments(self,
                         alignments: Dict[str, Dict[str, List[Tuple[int,
                                                               AlignmentFileDict,
                                                               str,
                                                               dict]]]]
                         ) -> Dict[str, Dict[str, List[AlignmentFileDict]]] : </s> remove         logger.trace("Extracted alignment for frame: '%s', face index: %s", frame_name, face_index)
 </s> add         logger.trace("Extracted alignment for frame: '%s', face index: %s",  # type:ignore
                     frame_name, face_index) </s> remove             logger.trace("Updating mask centering for frame '%s', face index: %s, version: %s",
                         frame_name, face_index, version)
 </s> add             logger.trace("Updating mask centering for frame '%s', face index: %s, "  # type:ignore
                         "version: %s", frame_name, face_index, version)
    def _extract_alignment(self, metadata: dict) -> Tuple[str, int, AlignmentFileDict]:
          retval = f"{prefix}alignments.fsa"
          logger.trace("Extracted alignments file filename: '%s'", retval)
          return retval
  
    def _extract_alignment(self, metadata: dict) -> Tuple[str, int, AlignmentFileDict]:
          """ Extract alignment data from a PNG image's itxt header.
  
          Formats the landmarks into a numpy array and adds in mask centering information if it is
          from an older extract.
  
keep keep keep keep replace keep keep keep keep keep
 Bugfix: Alignments tool - don't error on from-faces job 
tools/alignments/jobs.py