          has_predicted_mask: bool
              Whether the model was trained with a mask
          """
          cp_options = self._get_control_panel_options(defaults, available_masks, has_predicted_mask)
          panel_kwargs = dict(blank_nones=False, label_width=10, style="CPanel")
          ControlPanel(parent, cp_options, header_text=None, **panel_kwargs)
  
      def _get_control_panel_options(self,
                                     defaults: Dict[str, Any],
                                     available_masks: List[str],
 
</s> remove                                    defaults: Dict[str, Any],
                                   available_masks: List[str],
                                   has_predicted_mask: bool) -> List[ControlPanelOption]:
 </s> add                                    defaults: dict[str, T.Any],
                                   available_masks: list[str],
                                   has_predicted_mask: bool) -> list[ControlPanelOption]: </s> remove                              defaults: Dict[str, Any],
                             available_masks: List[str],
                             has_predicted_mask: bool) -> List[str]:
 </s> add                              defaults: dict[str, T.Any],
                             available_masks: list[str],
                             has_predicted_mask: bool) -> list[str]: </s> remove         panel_kwargs = dict(columns=2, option_columns=2, blank_nones=False, style="CPanel")
 </s> add         panel_kwargs = {"columns": 2, "option_columns": 2, "blank_nones": False, "style": "CPanel"} </s> remove                      available_masks: List[str],
 </s> add                      available_masks: list[str], </s> remove                          defaults: Dict[str, Any],
                         available_masks: List[str],
 </s> add                          defaults: dict[str, T.Any],
                         available_masks: list[str],
        panel_kwargs = {"blank_nones": False, "label_width": 10, "style": "CPanel"}
          has_predicted_mask: bool
              Whether the model was trained with a mask
          """
          cp_options = self._get_control_panel_options(defaults, available_masks, has_predicted_mask)
        panel_kwargs = {"blank_nones": False, "label_width": 10, "style": "CPanel"}
          ControlPanel(parent, cp_options, header_text=None, **panel_kwargs)
  
      def _get_control_panel_options(self,
                                     defaults: Dict[str, Any],
                                     available_masks: List[str],
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 
tools/preview/control_panels.py