          patched_face = np.rint(patched_face,
                                 out=np.empty(patched_face.shape, dtype="uint8"),
                                 casting='unsafe')
          if self._writer_pre_encode is None:
              retval: Union[np.ndarray, List[bytes]] = patched_face
          else:
              retval = self._writer_pre_encode(patched_face)
          logger.trace("Patched image: '%s'", predicted.inbound.filename)  # type: ignore
          return retval
  
 
</s> remove             retval: List[str] = list(set(loss_key
 </s> add             retval: list[str] = list(set(loss_key </s> remove             retval: Optional[tk.Frame] = frame
 </s> add             retval: tk.Frame | None = frame </s> remove                        predicted: "ConvertItem",
                       frame_size: Tuple[int, int]) -> Tuple[np.ndarray, np.ndarray]:
 </s> add                        predicted: ConvertItem,
                       frame_size: tuple[int, int]) -> tuple[np.ndarray, np.ndarray]: </s> remove             retval: Optional[int] = len(cast(Dict[str, Union[List[int], List[float]]],
                                        meta["pts_time"]))
 </s> add             retval: int | None = len(T.cast(dict[str, list[int] | list[float]], meta["pts_time"])) </s> remove                    image: "np.ndarray",
                   metadata: Optional["PNGHeaderDict"] = None) -> None:
 </s> add                    image: np.ndarray,
                   metadata: PNGHeaderDict | None = None) -> None:
            retval: np.ndarray | list[bytes] = patched_face
          patched_face = np.rint(patched_face,
                                 out=np.empty(patched_face.shape, dtype="uint8"),
                                 casting='unsafe')
          if self._writer_pre_encode is None:
            retval: np.ndarray | list[bytes] = patched_face
          else:
              retval = self._writer_pre_encode(patched_face)
          logger.trace("Patched image: '%s'", predicted.inbound.filename)  # type: ignore
          return retval
  
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 
lib/convert.py