          -------
          dict
              The trigger name as key and boolean as value
          """
          retval: Dict[Literal["mask", "refresh"], bool] = {key: False for key in self._gui_triggers}
          if not self._args.redirect_gui:
              return retval
  
          for trigger, filename in self._gui_triggers.items():
              if os.path.isfile(filename):
 
</s> remove         faces: Dict[str, List[int]] = {}
        for face in cast(List[Tuple[str, "PNGHeaderDict"]], self.file_list_sorted):
 </s> add         faces: dict[str, list[int]] = {}
        for face in T.cast(list[tuple[str, "PNGHeaderDict"]], self.file_list_sorted): </s> remove             retval: Dict[str, np.ndarray] = {key: np.array(val, dtype="float32")
 </s> add             retval: dict[str, np.ndarray] = {key: np.array(val, dtype="float32") </s> remove         retval: Dict[int, Dict[str, np.ndarray]] = {}
 </s> add         retval: dict[int, dict[str, np.ndarray]] = {} </s> remove     def _process_gui_triggers(self) -> Dict[Literal["mask", "refresh"], bool]:
 </s> add     def _process_gui_triggers(self) -> dict[T.Literal["mask", "refresh"], bool]: </s> remove             key = pkg[0].split("==", maxsplit=1)[0]
 </s> add             reqs = next(parse_requirements(pkg[0]))  # TODO Handle '=' vs '==' for conda
            key = reqs.unsafe_name
            specs = reqs.specs

        retval: dict[T.Literal["mask", "refresh"], bool] = {key: False
                                                            for key in self._gui_triggers}
          -------
          dict
              The trigger name as key and boolean as value
          """
        retval: dict[T.Literal["mask", "refresh"], bool] = {key: False
                                                            for key in self._gui_triggers}
          if not self._args.redirect_gui:
              return retval
  
          for trigger, filename in self._gui_triggers.items():
              if os.path.isfile(filename):
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/train.py