          otherwise ``False`` """
          return self._writer.config.get("draw_transparent", False)
  
      @property
      def pre_encode(self) -> T.Optional[T.Callable[[np.ndarray], T.List[bytes]]]:
          """ python function: Selected writer's pre-encode function, if it has one,
          otherwise ``None`` """
          dummy = np.zeros((20, 20, 3), dtype="uint8")
          test = self._writer.pre_encode(dummy)
          retval: T.Optional[T.Callable[[np.ndarray],
 
</s> remove         retval: T.Optional[T.Callable[[np.ndarray],
                           T.List[bytes]]] = None if test is None else self._writer.pre_encode
 </s> add         retval: Callable[[np.ndarray],
                         list[bytes]] | None = None if test is None else self._writer.pre_encode </s> remove     def _save_interval(self) -> Optional[int]:
 </s> add     def _save_interval(self) -> int | None: </s> remove     def errors(self) -> List[_ErrorType]:
 </s> add     def errors(self) -> list[_ErrorType]: </s> remove         self._triggers: TriggerType = dict(toggle_mask=Event(),
                                           refresh=Event(),
                                           save=Event(),
                                           quit=Event(),
                                           shutdown=Event())
 </s> add         self._triggers: TriggerType = {"toggle_mask": Event(),
                                       "refresh": Event(),
                                       "save": Event(),
                                       "quit": Event(),
                                       "shutdown": Event()} </s> remove     def frame_metadata(self) -> "PNGHeaderSourceDict":
 </s> add     def frame_metadata(self) -> PNGHeaderSourceDict:
    def pre_encode(self) -> Callable[[np.ndarray], list[bytes]] | None:
          otherwise ``False`` """
          return self._writer.config.get("draw_transparent", False)
  
      @property
    def pre_encode(self) -> Callable[[np.ndarray], list[bytes]] | None:
          """ python function: Selected writer's pre-encode function, if it has one,
          otherwise ``None`` """
          dummy = np.zeros((20, 20, 3), dtype="uint8")
          test = self._writer.pre_encode(dummy)
          retval: T.Optional[T.Callable[[np.ndarray],
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 
scripts/convert.py