          logger.debug("Initializing %s: (app: %s, arguments: '%s', sample_size: %s)",
                       self.__class__.__name__, app, arguments, sample_size)
          self._sample_size = sample_size
          self._app = app
          self._input_images: List[ConvertItem] = []
          self._predicted_images: List[Tuple[ConvertItem, np.ndarray]] = []
  
          self._images = Images(arguments)
          self._alignments = Alignments(arguments,
                                        is_extract=False,
                                        input_is_video=self._images.is_video)
 
</s> remove     def __init__(self, app: Preview, arguments: "Namespace", sample_size: int) -> None:
 </s> add     def __init__(self, app: Preview, arguments: Namespace, sample_size: int) -> None: </s> remove         self.converter_arguments: Optional[Dict[str, Any]] = None  # Updated converter args dict
 </s> add         self.converter_arguments: dict[str, T.Any] | None = None  # Updated converter args </s> remove     def __init__(self, app: Preview, arguments: "Namespace") -> None:
 </s> add     def __init__(self, app: Preview, arguments: Namespace) -> None: </s> remove         self._threads: List[MultiThread] = []
 </s> add         self._threads: list[MultiThread] = [] </s> remove     def __init__(self, app: 'Preview', parent: ttk.Frame) -> None:
 </s> add     def __init__(self, app: Preview, parent: ttk.Frame) -> None:
        self._input_images: list[ConvertItem] = []
        self._predicted_images: list[tuple[ConvertItem, np.ndarray]] = []
          logger.debug("Initializing %s: (app: %s, arguments: '%s', sample_size: %s)",
                       self.__class__.__name__, app, arguments, sample_size)
          self._sample_size = sample_size
          self._app = app
        self._input_images: list[ConvertItem] = []
        self._predicted_images: list[tuple[ConvertItem, np.ndarray]] = []
        self._input_images: list[ConvertItem] = []
        self._predicted_images: list[tuple[ConvertItem, np.ndarray]] = []
  
          self._images = Images(arguments)
          self._alignments = Alignments(arguments,
                                        is_extract=False,
                                        input_is_video=self._images.is_video)
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 
tools/preview/preview.py