          saver = None if self._args.skip_saving_faces else ImagesSaver(self._output_dir,
                                                                        as_bytes=True)
          for phase in range(self._extractor.passes):
              is_final = self._extractor.final_pass
              detected_faces: Dict[str, ExtractMedia] = {}
              self._extractor.launch()
              self._loader.check_thread_error()
              ph_desc = "Extraction" if self._extractor.passes == 1 else self._extractor.phase_text
              desc = f"Running pass {phase + 1} of {self._extractor.passes}: {ph_desc}"
              for idx, extract_media in enumerate(tqdm(self._extractor.detected_faces(),
 
</s> remove             detected_faces: Dict[str, ExtractMedia] = {}
 </s> add             detected_faces: dict[str, ExtractMedia] = {} </s> remove         retval: Dict[int, Dict[str, Union[np.ndarray, List[str]]]] = {}
 </s> add         retval: dict[int, dict[str, np.ndarray | list[str]]] = {} </s> remove             val: Dict[str, Union[np.ndarray, List[str]]] = {str(metric): array}
 </s> add             val: dict[str, np.ndarray | list[str]] = {str(metric): array} </s> remove         self._cached_source_data: Dict[str, "PNGHeaderSourceDict"] = {}
 </s> add         self._cached_source_data: dict[str, PNGHeaderSourceDict] = {} </s> remove         retval: Union[str, List[str]] = paths[0] if len(paths) == 1 else paths
 </s> add         retval: str | list[str] = paths[0] if len(paths) == 1 else paths
            detected_faces: dict[str, ExtractMedia] = {}
          saver = None if self._args.skip_saving_faces else ImagesSaver(self._output_dir,
                                                                        as_bytes=True)
          for phase in range(self._extractor.passes):
              is_final = self._extractor.final_pass
            detected_faces: dict[str, ExtractMedia] = {}
              self._extractor.launch()
              self._loader.check_thread_error()
              ph_desc = "Extraction" if self._extractor.passes == 1 else self._extractor.phase_text
              desc = f"Running pass {phase + 1} of {self._extractor.passes}: {ph_desc}"
              for idx, extract_media in enumerate(tqdm(self._extractor.detected_faces(),
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/extract.py