                  self._set_plugin_batchsize(plugin, available_vram)
  
      @staticmethod
      def _set_plugin_batchsize(plugin, available_vram):
          """ Set the batch size for the given plugin based on given available vram.
          Do not update plugins which have a vram_per_batch of 0 (CPU plugins) due to
 
</s> remove         panel_kwargs = dict(columns=2, option_columns=2, blank_nones=False)
 </s> add         panel_kwargs = dict(columns=2, max_columns=2, option_columns=2, blank_nones=False) </s> remove         """ Unschedule on a leave event """
 </s> add         """ remove schedule on a leave event """ </s> remove     def status_message(self):
 </s> add     def message(self): </s> remove         return self._status_message
 </s> add         return self._message

    def _status(self, hide_status):
        """ Place Status label into left of the status bar.

        Parameters
        ----------
        hide_status: bool, optional
            ``True`` to hide the status message that appears at the far left hand side of the
            status frame otherwise ``False``
        """
        if hide_status:
            return </s> remove     def _status(self):
        """ Place Status label into left of the status bar. """
 </s> add 
    def set_aligner_normalization_method(self, method):
        """ Change the normalization method for faces fed into the aligner.

        Parameters
        ----------
        method: {"none", "clahe", "hist", "mean"}
            The normalization method to apply to faces prior to feeding into the aligner's model
        """
        logger.debug("Setting to: '%s'", method)
        self._align.set_normalize_method(method)

                  self._set_plugin_batchsize(plugin, available_vram)
  
    def set_aligner_normalization_method(self, method):
        """ Change the normalization method for faces fed into the aligner.

        Parameters
        ----------
        method: {"none", "clahe", "hist", "mean"}
            The normalization method to apply to faces prior to feeding into the aligner's model
        """
        logger.debug("Setting to: '%s'", method)
        self._align.set_normalize_method(method)

      @staticmethod
      def _set_plugin_batchsize(plugin, available_vram):
          """ Set the batch size for the given plugin based on given available vram.
          Do not update plugins which have a vram_per_batch of 0 (CPU plugins) due to
keep add keep keep keep keep
 Core updates (#982)

* plugins.extract.align
  - Expose normalization method

* lib.gui core updates
  - Minor updates to support future development. 
plugins/extract/pipeline.py