                       self.__class__.__name__, iterator, cache, live_data)
          self._live_data = live_data
          self._cache = cache
          self._iterator = self._get_latest_live(iterator) if live_data else iterator
          self._loss_labels: List[str] = []
          logger.debug("Initialized: %s", self.__class__.__name__)
  
      @classmethod
      def _get_latest_live(cls, iterator: Iterator[bytes]) -> Generator[bytes, None, None]:
          """ Obtain the latest event logs for live training data.
 
</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     def get_images(self) -> Generator[Tuple[str, "np.ndarray"], None, None]:
 </s> add     def get_images(self) -> Generator[tuple[str, np.ndarray], None, None]: </s> remove         self._loss_functions: List[compile_utils.LossesContainer] = []
        self._loss_weights: List[float] = []
        self._mask_channels: List[int] = []
 </s> add         self._loss_functions: list[compile_utils.LossesContainer] = []
        self._loss_weights: list[float] = []
        self._mask_channels: list[int] = [] </s> remove     def process_frames(self) -> Generator[Dict[str, str], None, None]:
 </s> add     def process_frames(self) -> Generator[dict[str, str], None, None]: </s> remove     def _check_cache(self, session_id: Optional[int] = None) -> None:
 </s> add     def _check_cache(self, session_id: int | None = None) -> None:
        self._loss_labels: list[str] = []
                       self.__class__.__name__, iterator, cache, live_data)
          self._live_data = live_data
          self._cache = cache
          self._iterator = self._get_latest_live(iterator) if live_data else iterator
        self._loss_labels: list[str] = []
          logger.debug("Initialized: %s", self.__class__.__name__)
  
      @classmethod
      def _get_latest_live(cls, iterator: Iterator[bytes]) -> Generator[bytes, None, None]:
          """ Obtain the latest event logs for live training data.
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 
lib/gui/analysis/event_reader.py