                  self._predictor.in_queue.put(frame)
              idx = 0
              while idx < self._sample_size:
                  logger.debug("Predicting face %s of %s", idx + 1, self._sample_size)
                  items: Union[Literal["EOF"],
                               List[Tuple[ConvertItem,
                                          np.ndarray]]] = self._predictor.out_queue.get()
                  if items == "EOF":
                      logger.debug("Received EOF")
                      break
                  for item in items:
                      self._predicted_images.append(item)
 
</s> remove             item: T.Union[Literal["EOF"], ConvertItem] = self._in_queue.get()
 </s> add             item: T.Literal["EOF"] | ConvertItem = self._in_queue.get() </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         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         proc = pexpect.spawn(" ".join(self._command),
                             encoding=self._env.encoding, codec_errors="replace", timeout=None)
 </s> add         proc = pexpect.spawn(" ".join(self._command), timeout=None) </s> remove         batch: T.List[ConvertItem] = []
 </s> add         batch: list[ConvertItem] = []
                items: (T.Literal["EOF"] |
                        list[tuple[ConvertItem, np.ndarray]]) = self._predictor.out_queue.get()
                  self._predictor.in_queue.put(frame)
              idx = 0
              while idx < self._sample_size:
                  logger.debug("Predicting face %s of %s", idx + 1, self._sample_size)
                items: (T.Literal["EOF"] |
                        list[tuple[ConvertItem, np.ndarray]]) = self._predictor.out_queue.get()
                items: (T.Literal["EOF"] |
                        list[tuple[ConvertItem, np.ndarray]]) = self._predictor.out_queue.get()
                items: (T.Literal["EOF"] |
                        list[tuple[ConvertItem, np.ndarray]]) = self._predictor.out_queue.get()
                  if items == "EOF":
                      logger.debug("Received EOF")
                      break
                  for item in items:
                      self._predicted_images.append(item)
keep keep keep keep 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 
tools/preview/preview.py