          dict
              The alignments file dictionaries sorted into the correct face order, ready for saving
          """
          logger.info("Sorting and checking faces...")
          aln_sorted: Dict[str, Dict[str, "AlignmentDict"]] = {}
          for fname, frames in alignments.items():
              this_file: Dict[str, "AlignmentDict"] = {}
              for frame in tqdm(sorted(frames), desc=f"Sorting {fname}", leave=False):
                  this_file[frame] = dict(video_meta={}, faces=[])
                  for real_idx, (f_id, almt, f_path, f_src) in enumerate(sorted(frames[frame],
 
</s> remove             this_file: Dict[str, "AlignmentDict"] = {}
 </s> add             this_file: dict[str, AlignmentDict] = {} </s> remove                 this_file[frame] = dict(video_meta={}, faces=[])
 </s> add                 this_file[frame] = {"video_meta": {}, "faces": []} </s> remove         self._hashes_to_frame: Dict[str, Dict[str, int]] = {}
        self._hashes_to_alignment: Dict[str, AlignmentFileDict] = {}
 </s> add         self._hashes_to_frame: dict[str, dict[str, int]] = {}
        self._hashes_to_alignment: dict[str, AlignmentFileDict] = {} </s> remove         frames: Dict[str, Tuple[str, str]] = {}
        for frame in cast(List[Dict[str, str]], self.file_list_sorted):
 </s> add         frames: dict[str, tuple[str, str]] = {}
        for frame in T.cast(list[dict[str, str]], self.file_list_sorted): </s> remove         faces: Dict[str, List[int]] = {}
        for face in cast(List[Tuple[str, "PNGHeaderDict"]], self.file_list_sorted):
 </s> add         faces: dict[str, list[int]] = {}
        for face in T.cast(list[tuple[str, "PNGHeaderDict"]], self.file_list_sorted):
        aln_sorted: dict[str, dict[str, AlignmentDict]] = {}
          dict
              The alignments file dictionaries sorted into the correct face order, ready for saving
          """
          logger.info("Sorting and checking faces...")
        aln_sorted: dict[str, dict[str, AlignmentDict]] = {}
          for fname, frames in alignments.items():
              this_file: Dict[str, "AlignmentDict"] = {}
              for frame in tqdm(sorted(frames), desc=f"Sorting {fname}", leave=False):
                  this_file[frame] = dict(video_meta={}, faces=[])
                  for real_idx, (f_id, almt, f_path, f_src) in enumerate(sorted(frames[frame],
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/alignments/jobs_faces.py