          :class:`numpy.ndarray`
              The moving average for the given data
          """
          logger.debug("Calculating Average. Data points: %s", len(data))
          window = cast(int, self._args["avg_samples"])
          pad = ceil(window / 2)
          datapoints = data.shape[0]
  
          if datapoints <= (self._args["avg_samples"] * 2):
              logger.info("Not enough data to compile rolling average")
 
</s> remove         rate: List[float] = []
 </s> add         rate: list[float] = [] </s> remove         lookup = dict(
            reload=_("Refresh graph"),
            save=_("Save display data to csv"),
            avgiterations=_("Number of data points to sample for rolling average"),
            smoothamount=_("Set the smoothing amount. 0 is no smoothing, 0.99 is maximum "
                           "smoothing"),
            outliers=_("Flatten data points that fall more than 1 standard deviation from the "
                       "mean to the mean value."),
            avg=_("Display rolling average of the data"),
            smoothed=_("Smooth the data"),
            raw=_("Display raw data"),
            trend=_("Display polynormal data trend"),
            display=_("Set the data to display"),
            scale=_("Change y-axis scale"))
 </s> add         lookup = {
            "reload": _("Refresh graph"),
            "save": _("Save display data to csv"),
            "avgiterations": _("Number of data points to sample for rolling average"),
            "smoothamount": _("Set the smoothing amount. 0 is no smoothing, 0.99 is maximum "
                              "smoothing"),
            "outliers": _("Flatten data points that fall more than 1 standard deviation from the "
                          "mean to the mean value."),
            "avg": _("Display rolling average of the data"),
            "smoothed": _("Smooth the data"),
            "raw": _("Display raw data"),
            "trend": _("Display polynormal data trend"),
            "display": _("Set the data to display"),
            "scale": _("Change y-axis scale")} </s> remove         min_scale = min(1.0, min(min_scales))
 </s> add         min_scale = min(1.0, *min_scales) </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                            local_dict=dict(x=in_array, c=np.float32(255)),
 </s> add                            local_dict={"x": in_array, "c": np.float32(255)},
        window = T.cast(int, self._args["avg_samples"])
          :class:`numpy.ndarray`
              The moving average for the given data
          """
          logger.debug("Calculating Average. Data points: %s", len(data))
        window = T.cast(int, self._args["avg_samples"])
          pad = ceil(window / 2)
          datapoints = data.shape[0]
  
          if datapoints <= (self._args["avg_samples"] * 2):
              logger.info("Not enough data to compile rolling average")
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