          if skip_num == 1:
              logger.debug("Not skipping any frames")
              return None
          skip_list = []
          for idx, item in enumerate(cast(List[Dict[str, str]], self._frames.file_list_sorted)):
              if idx % skip_num != 0:
                  logger.trace("Adding image '%s' to skip list due to "  # type:ignore
                               "extract_every_n = %s", item["frame_fullname"], skip_num)
                  skip_list.append(idx)
          logger.debug("Adding skip list: %s", skip_list)
 
</s> remove                 idx = proc.expect(["\r\n", "\r"])
                line = proc.before.rstrip()
                if line and idx == 0:
                    if self._last_line_cr:
                        self._last_line_cr = False
                        # Output last line of progress bar and go to next line
                        self._non_gui_print(line)
                    self._seen_line_log(line)
                elif line and idx == 1:
                    self._last_line_cr = True
                    logger.debug(line)
                    self._non_gui_print(line, end="\r")
 </s> add                 proc.expect([b"\r\n", b"\r"])
                line: bytes = proc.before
                self._seen_line_log(line.decode("utf-8", errors="replace").rstrip())
                self._non_gui_print(line) </s> remove         self._cached_source_data: Dict[str, "PNGHeaderSourceDict"] = {}
 </s> add         self._cached_source_data: dict[str, PNGHeaderSourceDict] = {} </s> remove         predicted: T.List[np.ndarray] = inbound if isinstance(inbound, list) else [inbound]
 </s> add         predicted: list[np.ndarray] = inbound if isinstance(inbound, list) else [inbound] </s> remove         data = [(f"file{idx}.png", dict(source=dict(source_filename=f"src{idx // 2}.png",
                                                    face_index=0 if idx % 2 == 0 else 1)))
 </s> add         data = [(f"file{idx}.png", {"source": {"source_filename": f"src{idx // 2}.png",
                                               "face_index": 0 if idx % 2 == 0 else 1}}) </s> remove         batch: T.List[ConvertItem] = []
 </s> add         batch: list[ConvertItem] = []
        for idx, item in enumerate(T.cast(list[dict[str, str]], self._frames.file_list_sorted)):
          if skip_num == 1:
              logger.debug("Not skipping any frames")
              return None
          skip_list = []
        for idx, item in enumerate(T.cast(list[dict[str, str]], self._frames.file_list_sorted)):
              if idx % skip_num != 0:
                  logger.trace("Adding image '%s' to skip list due to "  # type:ignore
                               "extract_every_n = %s", item["frame_fullname"], skip_num)
                  skip_list.append(idx)
          logger.debug("Adding skip list: %s", skip_list)
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_frames.py