  
          assert self._tb_logs is not None
          loss_dict = self._tb_logs.get_loss(session_id=session_id)
          if session_id is None:
              all_loss: Dict[str, List[float]] = {}
              for key in sorted(loss_dict):
                  for loss_key, loss in loss_dict[key].items():
                      all_loss.setdefault(loss_key, []).extend(loss)
              retval: Dict[str, np.ndarray] = {key: np.array(val, dtype="float32")
                                               for key, val in all_loss.items()}
 
</s> remove             retval: Dict[str, np.ndarray] = {key: np.array(val, dtype="float32")
 </s> add             retval: dict[str, np.ndarray] = {key: np.array(val, dtype="float32") </s> remove         retval: Dict[int, Dict[str, np.ndarray]] = {}
 </s> add         retval: dict[int, dict[str, np.ndarray]] = {} </s> remove         retval: Dict[int, np.ndarray] = {}
 </s> add         retval: dict[int, np.ndarray] = {} </s> remove         retval: Dict[Literal["mask", "refresh"], bool] = {key: False for key in self._gui_triggers}
 </s> add         retval: dict[T.Literal["mask", "refresh"], bool] = {key: False
                                                            for key in self._gui_triggers} </s> remove         config_dicts: Dict[str, Dict[str, Any]] = {}
 </s> add         config_dicts: dict[str, dict[str, T.Any]] = {}
            all_loss: dict[str, list[float]] = {}
  
          assert self._tb_logs is not None
          loss_dict = self._tb_logs.get_loss(session_id=session_id)
          if session_id is None:
            all_loss: dict[str, list[float]] = {}
              for key in sorted(loss_dict):
                  for loss_key, loss in loss_dict[key].items():
                      all_loss.setdefault(loss_key, []).extend(loss)
              retval: Dict[str, np.ndarray] = {key: np.array(val, dtype="float32")
                                               for key, val in all_loss.items()}
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