          The timestamp of the event step (iteration)
      loss: :class:`np.ndarray`
          The loss values collected for A and B sides for the session
      """
      def __init__(self, labels: List[str], timestamps: np.ndarray, loss: np.ndarray) -> None:
          self.labels = labels
          self._loss = zlib.compress(cast(bytes, loss))
          self._timestamps = zlib.compress(cast(bytes, timestamps))
          self._timestamps_shape = timestamps.shape
          self._loss_shape = loss.shape
 
</s> remove         self._loss = zlib.compress(cast(bytes, loss))
        self._timestamps = zlib.compress(cast(bytes, timestamps))
 </s> add         self._loss = zlib.compress(T.cast(bytes, loss))
        self._timestamps = zlib.compress(T.cast(bytes, timestamps)) </s> remove     loss: List[float] = field(default_factory=list)
 </s> add     loss: list[float] = field(default_factory=list) </s> remove         retval: Dict[int, Dict[str, np.ndarray]] = {}
 </s> add         retval: dict[int, dict[str, np.ndarray]] = {} </s> remove     def _binning_linear_threshold(self, units: str = "", multiplier: int = 1) -> List[List[str]]:
 </s> add     def _binning_linear_threshold(self, units: str = "", multiplier: int = 1) -> list[list[str]]: </s> remove                    data: Dict[int, EventData],
                   labels: List[str],
 </s> add                    data: dict[int, EventData],
                   labels: list[str],
    def __init__(self, labels: list[str], timestamps: np.ndarray, loss: np.ndarray) -> None:
          The timestamp of the event step (iteration)
      loss: :class:`np.ndarray`
          The loss values collected for A and B sides for the session
      """
    def __init__(self, labels: list[str], timestamps: np.ndarray, loss: np.ndarray) -> None:
          self.labels = labels
          self._loss = zlib.compress(cast(bytes, loss))
          self._timestamps = zlib.compress(cast(bytes, timestamps))
          self._timestamps_shape = timestamps.shape
          self._loss_shape = loss.shape
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/event_reader.py