          The batch size for this iterator. Images will be returned in :class:`numpy.ndarray`
          objects of this size from the iterator.
      """
      def __init__(self,
                   config: Dict[str, "ConfigValueType"],
                   model: "ModelBase",
                   side: Literal["a", "b"],
                   images: List[str],
                   batch_size: int) -> None:
          logger.debug("Initializing %s: (model: %s, side: %s, images: %s , "  # type: ignore
                       "batch_size: %s, config: %s)", self.__class__.__name__, model.name, side,
                       len(images), batch_size, config)
          self._config = config
 
</s> remove                  config: Dict[str, "ConfigValueType"],
                 model: "ModelBase",
                 side: Literal["a", "b"],
                 images: List[str],
 </s> add                  config: dict[str, ConfigValueType],
                 model: ModelBase,
                 side: T.Literal["a", "b"],
                 images: list[str], </s> remove                  images: T.Dict[Literal["a", "b"], T.List[str]],
 </s> add                  images: dict[T.Literal["a", "b"], list[str]], </s> remove                  config: T.Dict[str, ConfigValueType]) -> None:
 </s> add                  config: dict[str, ConfigValueType]) -> None: </s> remove                  side: Literal["a", "b", "both"],
                 input_shapes: T.Union[list, tuple],
 </s> add                  side: T.Literal["a", "b", "both"],
                 input_shapes: list | tuple, </s> remove                  side: Literal["a", "b", "both", "gblock", "shared"],
 </s> add                  side: T.Literal["a", "b", "both", "gblock", "shared"],
                 config: dict[str, ConfigValueType],
                 model: ModelBase,
                 side: T.Literal["a", "b"],
                 images: list[str],
          The batch size for this iterator. Images will be returned in :class:`numpy.ndarray`
          objects of this size from the iterator.
      """
      def __init__(self,
                 config: dict[str, ConfigValueType],
                 model: ModelBase,
                 side: T.Literal["a", "b"],
                 images: list[str],
                 config: dict[str, ConfigValueType],
                 model: ModelBase,
                 side: T.Literal["a", "b"],
                 images: list[str],
                 config: dict[str, ConfigValueType],
                 model: ModelBase,
                 side: T.Literal["a", "b"],
                 images: list[str],
                 config: dict[str, ConfigValueType],
                 model: ModelBase,
                 side: T.Literal["a", "b"],
                 images: list[str],
                   batch_size: int) -> None:
          logger.debug("Initializing %s: (model: %s, side: %s, images: %s , "  # type: ignore
                       "batch_size: %s, config: %s)", self.__class__.__name__, model.name, side,
                       len(images), batch_size, config)
          self._config = config
keep keep keep keep 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 
lib/training/generator.py