              The latest loss values to add to the cache
          timestamps: :class:`numpy.ndarray`
              The latest timestamps  to add to the cache
          """
          new_buffer: List[bytes] = []
          new_shapes: List[Tuple[int, ...]] = []
          for data, buffer, dtype, shape in zip([timestamps, loss],
                                                [self._timestamps, self._loss],
                                                ["float64", "float32"],
                                                [self._timestamps_shape, self._loss_shape]):
  
 
</s> remove         self._loss_labels: List[str] = []
 </s> add         self._loss_labels: list[str] = [] </s> remove         self._required_packages: List[Tuple[str, List[Tuple[str, str]]]] = []
        self._missing_packages: List[Tuple[str, List[Tuple[str, str]]]] = []
        self._conda_missing_packages: List[Tuple[str, ...]] = []
 </s> add         self._required_packages: list[tuple[str, list[tuple[str, str]]]] = []
        self._missing_packages: list[tuple[str, list[tuple[str, str]]]] = []
        self._conda_missing_packages: list[tuple[str, ...]] = [] </s> remove     def __init__(self, labels: List[str], timestamps: np.ndarray, loss: np.ndarray) -> None:
 </s> add     def __init__(self, labels: list[str], timestamps: np.ndarray, loss: np.ndarray) -> None: </s> remove         self._thread: Optional[LongRunningTask] = None  # Thread for LongRunningTask
        self._displayed_keys: List[str] = []
 </s> add         self._thread: LongRunningTask | None = None  # Thread for LongRunningTask
        self._displayed_keys: list[str] = [] </s> remove     detected_faces: List[List["DetectedFace"]] = field(default_factory=list)
    rotation_matrix: List[np.ndarray] = field(default_factory=list)
    scale: List[float] = field(default_factory=list)
    pad: List[Tuple[int, int]] = field(default_factory=list)
 </s> add     detected_faces: list[list["DetectedFace"]] = field(default_factory=list)
    rotation_matrix: list[np.ndarray] = field(default_factory=list)
    scale: list[float] = field(default_factory=list)
    pad: list[tuple[int, int]] = field(default_factory=list)
        new_buffer: list[bytes] = []
        new_shapes: list[tuple[int, ...]] = []
              The latest loss values to add to the cache
          timestamps: :class:`numpy.ndarray`
              The latest timestamps  to add to the cache
          """
        new_buffer: list[bytes] = []
        new_shapes: list[tuple[int, ...]] = []
        new_buffer: list[bytes] = []
        new_shapes: list[tuple[int, ...]] = []
          for data, buffer, dtype, shape in zip([timestamps, loss],
                                                [self._timestamps, self._loss],
                                                ["float64", "float32"],
                                                [self._timestamps_shape, self._loss_shape]):
  
keep keep keep keep replace 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