          logger.debug("Starting convert process. (in_queue: %s, out_queue: %s)",
                       in_queue, out_queue)
          log_once = False
          while True:
              inbound: Union[Literal["EOF"], "ConvertItem", List["ConvertItem"]] = in_queue.get()
              if inbound == "EOF":
                  logger.debug("EOF Received")
                  logger.debug("Patch queue finished")
                  # Signal EOF to other processes in pool
                  logger.debug("Putting EOF back to in_queue")
 
</s> remove         batch: T.List[ConvertItem] = []
 </s> add         batch: list[ConvertItem] = [] </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                     in_queue: "Queue",
                    out_queue: "Queue") -> None:
 </s> add                     in_queue: Queue,
                    out_queue: Queue) -> None: </s> remove                 items: Union[Literal["EOF"],
                             List[Tuple[ConvertItem,
                                        np.ndarray]]] = self._predictor.out_queue.get()
 </s> add                 items: (T.Literal["EOF"] |
                        list[tuple[ConvertItem, np.ndarray]]) = self._predictor.out_queue.get() </s> remove                      queue_in: "EventQueue",
                     queue_out: "EventQueue",
                     sample_size: int) -> List[np.ndarray]:
 </s> add                      queue_in: EventQueue,
                     queue_out: EventQueue,
                     sample_size: int) -> list[np.ndarray]:
            inbound: T.Literal["EOF"] | ConvertItem | list[ConvertItem] = in_queue.get()
          logger.debug("Starting convert process. (in_queue: %s, out_queue: %s)",
                       in_queue, out_queue)
          log_once = False
          while True:
            inbound: T.Literal["EOF"] | ConvertItem | list[ConvertItem] = in_queue.get()
              if inbound == "EOF":
                  logger.debug("EOF Received")
                  logger.debug("Patch queue finished")
                  # Signal EOF to other processes in pool
                  logger.debug("Putting EOF back to in_queue")
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 
lib/convert.py