          """
          logger.debug("Calculating totals rate")
          batchsizes = _SESSION.batch_sizes
          total_timestamps = _SESSION.get_timestamps(None)
          rate: List[float] = []
          for sess_id in sorted(total_timestamps.keys()):
              batchsize = batchsizes[sess_id]
              timestamps = total_timestamps[sess_id]
              rate.extend((batchsize * 2) / np.diff(timestamps))
          retval = np.array(rate)
 
</s> remove         retval = batch_size / np.diff(cast(np.ndarray, _SESSION.get_timestamps(self._session_id)))
 </s> add         retval = batch_size / np.diff(T.cast(np.ndarray,
                                             _SESSION.get_timestamps(self._session_id))) </s> remove         window = cast(int, self._args["avg_samples"])
 </s> add         window = T.cast(int, self._args["avg_samples"]) </s> remove         min_scale = min(1.0, min(min_scales))
 </s> add         min_scale = min(1.0, *min_scales) </s> remove         assert self._config["centering"] in get_args(CenteringType)
 </s> add         assert self._config["centering"] in T.get_args(CenteringType) </s> remove         self._loss_functions: List[compile_utils.LossesContainer] = []
        self._loss_weights: List[float] = []
        self._mask_channels: List[int] = []
 </s> add         self._loss_functions: list[compile_utils.LossesContainer] = []
        self._loss_weights: list[float] = []
        self._mask_channels: list[int] = []
        rate: list[float] = []
          """
          logger.debug("Calculating totals rate")
          batchsizes = _SESSION.batch_sizes
          total_timestamps = _SESSION.get_timestamps(None)
        rate: list[float] = []
          for sess_id in sorted(total_timestamps.keys()):
              batchsize = batchsizes[sess_id]
              timestamps = total_timestamps[sess_id]
              rate.extend((batchsize * 2) / np.diff(timestamps))
          retval = np.array(rate)
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