          self._tracked_lock = Lock()
          self._tracked_batchs: Dict[int, Dict[Literal["filtered_landmarks"], List[np.ndarray]]] = {}
          # TODO. Probably does not need to be a list, just alignerbatch
          self._queue_lock = Lock()
          self._queued: List["AlignerBatch"] = []
          logger.debug("Initialized %s", self.__class__.__name__)
  
      @property
      def active(self) -> bool:
          """bool: ``True`` if re_aligns have been selected otherwise ``False``"""
 
</s> remove         self._tracked_batchs: Dict[int, Dict[Literal["filtered_landmarks"], List[np.ndarray]]] = {}
 </s> add         self._tracked_batchs: dict[int,
                                   dict[T.Literal["filtered_landmarks"], list[np.ndarray]]] = {} </s> remove         self._centering: "CenteringType" = "face"
 </s> add         self._centering: CenteringType = "face" </s> remove         self._images: Dict[str, "np.ndarray"] = {}
 </s> add         self._images: dict[str, np.ndarray] = {} </s> remove         self._data: Dict[int, _CacheData] = {}
        self._carry_over: Dict[int, EventData] = {}
        self._loss_labels: List[str] = []
 </s> add         self._data: dict[int, _CacheData] = {}
        self._carry_over: dict[int, EventData] = {}
        self._loss_labels: list[str] = [] </s> remove         self._threads: List[MultiThread] = []
 </s> add         self._threads: list[MultiThread] = []
        self._queued: list[AlignerBatch] = []
          self._tracked_lock = Lock()
          self._tracked_batchs: Dict[int, Dict[Literal["filtered_landmarks"], List[np.ndarray]]] = {}
          # TODO. Probably does not need to be a list, just alignerbatch
          self._queue_lock = Lock()
        self._queued: list[AlignerBatch] = []
          logger.debug("Initialized %s", self.__class__.__name__)
  
      @property
      def active(self) -> bool:
          """bool: ``True`` if re_aligns have been selected otherwise ``False``"""
keep keep keep keep replace keep keep keep keep keep
 Rebase code (#1326)

* Remove tensorflow_probability requirement

* setup.py - fix progress bars

* requirements.txt: Remove pre python 3.9 packages

* update apple requirements.txt

* update INSTALL.md

* Remove python<3.9 code

* setup.py - fix Windows Installer

* typing: python3.9 compliant

* Update pytest and readthedocs python versions

* typing fixes

* Python Version updates
  - Reduce max version to 3.10
  - Default to 3.10 in installers
  - Remove incompatible 3.11 tests

* Update dependencies

* Downgrade imageio dep for Windows

* typing: merge optional unions and fixes

* Updates
  - min python version 3.10
  - typing to python 3.10 spec
  - remove pre-tf2.10 code
  - Add conda tests

* train: re-enable optimizer saving

* Update dockerfiles

* Update setup.py
  - Apple Conda deps to setup.py
  - Better Cuda + dependency handling

* bugfix: Patch logging to prevent Autograph errors

* Update dockerfiles

* Setup.py - Setup.py - stdout to utf-8

* Add more OSes to github Actions

* suppress mac-os end to end test 
plugins/extract/align/_base/processing.py