      step 1           1       0.000000
      """
      def __init__(self,
                   show_min: bool = True, show_mean: bool = True, show_max: bool = True) -> None:
          self._times: Dict[str, List[float]] = {}
          self._steps: Dict[str, float] = {}
          self._interval = 1
          self._display = {"min": show_min, "mean": show_mean, "max": show_max}
  
      def step_start(self, name: str, record: bool = True) -> None:
          """ Start the timer for the given step name.
 
</s> remove     def get_available_convert_plugins(convert_category: str, add_none: bool = True) -> List[str]:
 </s> add     def get_available_convert_plugins(convert_category: str, add_none: bool = True) -> list[str]: </s> remove         self.queues: Dict[str, EventQueue] = {}
 </s> add         self.queues: dict[str, EventQueue] = {} </s> remove         self._tf_devices: List[Any] = []
 </s> add         self._tf_devices: list[T.Any] = [] </s> remove     def get_detector(name: str, disable_logging: bool = False) -> Type["Detector"]:
 </s> add     def get_detector(name: str, disable_logging: bool = False) -> type[Detector]: </s> remove     def get_recognition(name: str, disable_logging: bool = False) -> Type["Identity"]:
 </s> add     def get_recognition(name: str, disable_logging: bool = False) -> type[Identity]:
        self._times: dict[str, list[float]] = {}
        self._steps: dict[str, float] = {}
      step 1           1       0.000000
      """
      def __init__(self,
                   show_min: bool = True, show_mean: bool = True, show_max: bool = True) -> None:
        self._times: dict[str, list[float]] = {}
        self._steps: dict[str, float] = {}
        self._times: dict[str, list[float]] = {}
        self._steps: dict[str, float] = {}
          self._interval = 1
          self._display = {"min": show_min, "mean": show_mean, "max": show_max}
  
      def step_start(self, name: str, record: bool = True) -> None:
          """ Start the timer for the given step name.
keep keep keep keep 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/utils.py