              raise FaceswapError("'Learn Mask' has been selected but you have not chosen a Mask to "
                                  "use. Please select a mask or disable 'Learn Mask'.")
  
          self._mixed_precision = self.config["mixed_precision"]
          # self._io = IO(self, model_dir, self._is_predict, self.config["save_optimizer"])
          # TODO - Re-enable saving of optimizer once this bug is fixed:
          # File "h5py/_objects.pyx", line 54, in h5py._objects.with_phil.wrapper
          # File "h5py/_objects.pyx", line 55, in h5py._objects.with_phil.wrapper
          # File "h5py/h5d.pyx", line 87, in h5py.h5d.create
          # ValueError: Unable to create dataset (name already exists)
  
          self._io = IO(self, model_dir, self._is_predict, "never")
          self._check_multiple_models()
  
          self._state = State(model_dir,
                              self.name,
                              self._config_changeable_items,
 
</s> remove #: plugins/train/_config.py:531
 </s> add #: plugins/train/_config.py:556 </s> remove     def _parse_lines(self) -> None:
        """ Process the latest batch of lines that have been received from winPTY. """
        for line in self._lines:  # Dump the output to log
            line = line.rstrip()
            is_cr = bool(self._pbar.search(line))
            if line and not is_cr:
                if self._last_line_cr:
                    self._last_line_cr = False
                    if not self._env.is_installer:
                        # Go to next line
                        self._non_gui_print("")
                self._seen_line_log(line)
            elif line:
                self._last_line_cr = True
                logger.debug(line)
                # NSIS only updates on line endings, so force new line for installer
                self._non_gui_print(line, end=None if self._env.is_installer else "\r")
        self._lines = []

 </s> add  </s> remove         retval: T.List[DetectedFace] = []
 </s> add         retval: list[DetectedFace] = [] </s> remove                 is_cr = line.startswith("\r")
                line = line.rstrip()

                if line and not is_cr:
                    if self._last_line_cr:
                        self._last_line_cr = False
                        # Go to next line
                        self._non_gui_print("")
                    self._seen_line_log(line)
                elif line:
                    self._last_line_cr = True
                    logger.debug(line)
                    self._non_gui_print("", end="\r")
 </s> add                 for line in lines.split(b"\r"):
                    self._seen_line_log(line.decode("utf-8", errors="replace").rstrip())
                    self._non_gui_print(line)
 </s> remove         retval: Optional[str] = "copy"
 </s> add         retval: str | None = "copy"
        self._io = IO(self, model_dir, self._is_predict, self.config["save_optimizer"])
              raise FaceswapError("'Learn Mask' has been selected but you have not chosen a Mask to "
                                  "use. Please select a mask or disable 'Learn Mask'.")
  
          self._mixed_precision = self.config["mixed_precision"]
        self._io = IO(self, model_dir, self._is_predict, self.config["save_optimizer"])
        self._io = IO(self, model_dir, self._is_predict, self.config["save_optimizer"])
        self._io = IO(self, model_dir, self._is_predict, self.config["save_optimizer"])
        self._io = IO(self, model_dir, self._is_predict, self.config["save_optimizer"])
        self._io = IO(self, model_dir, self._is_predict, self.config["save_optimizer"])
        self._io = IO(self, model_dir, self._is_predict, self.config["save_optimizer"])
        self._io = IO(self, model_dir, self._is_predict, self.config["save_optimizer"])
        self._io = IO(self, model_dir, self._is_predict, self.config["save_optimizer"])
          self._check_multiple_models()
  
          self._state = State(model_dir,
                              self.name,
                              self._config_changeable_items,
keep keep keep keep replace replace replace replace replace replace 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 
plugins/train/model/_base/model.py