          extracted face image for the selected extract type. """
          return self._padding[self._centering]
  
      @property
      def matrix(self):
          """ :class:`numpy.ndarray`: The 3x2 transformation matrix for extracting and aligning the
          core face area out of the original frame, with no padding or sizing applied. The returned
          matrix is offset for the given :attr:`centering`. """
          if self._matrices[self._centering] is None:
              matrix = self._matrices["legacy"].copy()
 
</s> remove         if self._matrices[self._centering] is None:
 </s> add         if not np.any(self._matrices[self._centering]): </s> remove     def adjusted_matrix(self):
 </s> add     def adjusted_matrix(self) -> np.ndarray: </s> remove                 self._cache["pose"][0] = PoseEstimate(lms)
        return self._cache["pose"][0]
 </s> add                 self._cache.pose = PoseEstimate(lms)
        return self._cache.pose </s> remove         with self._cache["adjusted_matrix"][1]:
            if self._cache["adjusted_matrix"][0] is None:
 </s> add         with self._cache.lock("adjusted_matrix"):
            if self._cache.adjusted_matrix is None: </s> remove     def padding(self):
 </s> add     def padding(self) -> int:
    def matrix(self) -> np.ndarray:
          extracted face image for the selected extract type. """
          return self._padding[self._centering]
  
      @property
    def matrix(self) -> np.ndarray:
          """ :class:`numpy.ndarray`: The 3x2 transformation matrix for extracting and aligning the
          core face area out of the original frame, with no padding or sizing applied. The returned
          matrix is offset for the given :attr:`centering`. """
          if self._matrices[self._centering] is None:
              matrix = self._matrices["legacy"].copy()
keep keep keep keep replace keep keep keep keep keep
 lib.align.aligned_face updates
  - Typing
  - Legacy support for pre-aligned faces
  - Coverage support for pre-aligned faces
  - Standardized retrieval of sub-crops 
lib/align/aligned_face.py