          self._validate_samples()
          self._buffer = RingBuffer(batch_size,
                                    (self._process_size, self._process_size, self._total_channels),
                                    dtype="uint8")
          self._face_cache: "_Cache" = get_cache(side,
                                                 filenames=images,
                                                 config=self._config,
                                                 size=self._process_size,
                                                 coverage_ratio=self._coverage_ratio)
          logger.debug("Initialized %s", self.__class__.__name__)
  
      @property
      def _total_channels(self) -> int:
          """int: The total number of channels, including mask channels that the target image
 
</s> remove         self._nearest_landmarks: Dict[str, Tuple[str, ...]] = {}
 </s> add         self._nearest_landmarks: dict[str, tuple[str, ...]] = {} </s> remove     def _save_interval(self) -> Optional[int]:
 </s> add     def _save_interval(self) -> int | None: </s> remove         self._stats: Dict[str, np.ndarray] = {}
 </s> add         self._stats: dict[str, np.ndarray] = {} </s> remove     def available_masks(self) -> List[str]:
 </s> add     def available_masks(self) -> list[str]: </s> remove     def loader_type(self) -> Literal["face", "meta", "all"]:
 </s> add     def loader_type(self) -> T.Literal["face", "meta", "all"]:
        self._face_cache: _Cache = get_cache(side,
                                             filenames=images,
                                             config=self._config,
                                             size=self._process_size,
                                             coverage_ratio=self._coverage_ratio)
          self._validate_samples()
          self._buffer = RingBuffer(batch_size,
                                    (self._process_size, self._process_size, self._total_channels),
                                    dtype="uint8")
        self._face_cache: _Cache = get_cache(side,
                                             filenames=images,
                                             config=self._config,
                                             size=self._process_size,
                                             coverage_ratio=self._coverage_ratio)
        self._face_cache: _Cache = get_cache(side,
                                             filenames=images,
                                             config=self._config,
                                             size=self._process_size,
                                             coverage_ratio=self._coverage_ratio)
        self._face_cache: _Cache = get_cache(side,
                                             filenames=images,
                                             config=self._config,
                                             size=self._process_size,
                                             coverage_ratio=self._coverage_ratio)
        self._face_cache: _Cache = get_cache(side,
                                             filenames=images,
                                             config=self._config,
                                             size=self._process_size,
                                             coverage_ratio=self._coverage_ratio)
        self._face_cache: _Cache = get_cache(side,
                                             filenames=images,
                                             config=self._config,
                                             size=self._process_size,
                                             coverage_ratio=self._coverage_ratio)
          logger.debug("Initialized %s", self.__class__.__name__)
  
      @property
      def _total_channels(self) -> int:
          """int: The total number of channels, including mask channels that the target image
keep keep keep keep replace replace replace replace 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 
lib/training/generator.py