      >>> from lib.utils import GetModel
      >>> model_downloader = GetModel("s3fd_keras_v2.h5", 11)
      """
  
      def __init__(self, model_filename: Union[str, List[str]], git_model_id: int) -> None:
          self.logger = logging.getLogger(__name__)
          if not isinstance(model_filename, list):
              model_filename = [model_filename]
          self._model_filename = model_filename
          self._cache_dir = os.path.join(os.path.abspath(os.path.dirname(sys.argv[0])), ".fs_cache")
 
</s> remove                    git_model_id: Optional[int],
                   model_filename: Optional[Union[str, List[str]]]
                   ) -> Optional[Union[str, List[str]]]:
 </s> add                    git_model_id: int | None,
                   model_filename: str | list[str] | None) -> str | list[str] | None: </s> remove     backend = cast(ValidBackends, backend.lower())
 </s> add     backend = T.cast(ValidBackends, backend.lower()) </s> remove                  git_model_id: Optional[int] = None,
                 model_filename: Optional[str] = None,
                 configfile: Optional[str] = None,
 </s> add                  git_model_id: int | None = None,
                 model_filename: str | None = None,
                 configfile: str | None = None, </s> remove                  git_model_id: Optional[int] = None,
                 model_filename: Optional[Union[str, List[str]]] = None,
                 configfile: Optional[str] = None,
 </s> add                  git_model_id: int | None = None,
                 model_filename: str | list[str] | None = None,
                 configfile: str | None = None, </s> remove                  git_model_id: T.Optional[int] = None,
                 model_filename: T.Optional[str] = None,
                 configfile: T.Optional[str] = None,
 </s> add                  git_model_id: int | None = None,
                 model_filename: str | None = None,
                 configfile: str | None = None,
    def __init__(self, model_filename: str | list[str], git_model_id: int) -> None:
      >>> from lib.utils import GetModel
      >>> model_downloader = GetModel("s3fd_keras_v2.h5", 11)
      """
  
    def __init__(self, model_filename: str | list[str], git_model_id: int) -> None:
          self.logger = logging.getLogger(__name__)
          if not isinstance(model_filename, list):
              model_filename = [model_filename]
          self._model_filename = model_filename
          self._cache_dir = os.path.join(os.path.abspath(os.path.dirname(sys.argv[0])), ".fs_cache")
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/utils.py