              stats["rate"] = (((stats["batch"] * 2) * stats["iterations"])
                               / stats["elapsed"] if stats["elapsed"] > 0 else 0)
          logger.debug("per_session_stats: %s", self._per_session_stats)
  
      def _collate_stats(self, session_id: int) -> Dict[str, Union[int, float]]:
          """ Collate the session summary statistics for the given session ID.
  
          Parameters
          ----------
          session_id: int
 
</s> remove     def get_data(self, session_id: int, metric: Literal["loss", "timestamps"]
                 ) -> Optional[Dict[int, Dict[str, Union[np.ndarray, List[str]]]]]:
 </s> add     def get_data(self, session_id: int, metric: T.Literal["loss", "timestamps"]
                 ) -> dict[int, dict[str, np.ndarray | list[str]]] | None: </s> remove     def get_loss(self, session_id: Optional[int]) -> Dict[str, np.ndarray]:
 </s> add     def get_loss(self, session_id: int | None) -> dict[str, np.ndarray]: </s> remove     def get_loss_keys(self, session_id: Optional[int]) -> List[str]:
 </s> add     def get_loss_keys(self, session_id: int | None) -> list[str]: </s> remove     def _check_cache(self, session_id: Optional[int] = None) -> None:
 </s> add     def _check_cache(self, session_id: int | None = None) -> None: </s> remove     def get_loss(self, session_id: Optional[int] = None) -> Dict[int, Dict[str, np.ndarray]]:
 </s> add     def get_loss(self, session_id: int | None = None) -> dict[int, dict[str, np.ndarray]]:
    def _collate_stats(self, session_id: int) -> dict[str, int | float]:
              stats["rate"] = (((stats["batch"] * 2) * stats["iterations"])
                               / stats["elapsed"] if stats["elapsed"] > 0 else 0)
          logger.debug("per_session_stats: %s", self._per_session_stats)
  
    def _collate_stats(self, session_id: int) -> dict[str, int | float]:
          """ Collate the session summary statistics for the given session ID.
  
          Parameters
          ----------
          session_id: int
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/gui/analysis/stats.py