def _createInputForWeights(self, layout):
relative_iteration_weights_model = StringModel(self.getSimulationModel().getWeights())
self._relative_iteration_weights_box = StringBox(relative_iteration_weights_model, "Custom iteration weights", help_link="config/simulation/iteration_weights", continuous_update=True)
self._relative_iteration_weights_box.setValidator(NumberListStringArgument())
layout.addRow("Relative Weights:", self._relative_iteration_weights_box)
def updateModelWithRelativeWeights():
weights = relative_iteration_weights_model.getValue()
self.getSimulationModel().setWeights(weights)
relative_iteration_weights_model.observable().attach(StringModel.VALUE_CHANGED_EVENT, updateModelWithRelativeWeights)
normalized_weights_model = StringModel()
normalized_weights_model.setValue("")
normalized_weights_widget = ActiveLabel(normalized_weights_model, help_link="config/simulation/iteration_weights")
layout.addRow('Normalized weights:', normalized_weights_widget)
def updateVisualizationOfNormalizedWeights():
if self._relative_iteration_weights_box.isValid():
weights = MultipleDataAssimilation.parseWeights(relative_iteration_weights_model.getValue())
normalized_weights = MultipleDataAssimilation.normalizeWeights(weights)
normalized_weights_model.setValue(", ".join("%.2f" % x for x in normalized_weights))
else:
normalized_weights_model.setValue("The weights are invalid!")
self._relative_iteration_weights_box.validationChanged.connect(updateVisualizationOfNormalizedWeights)
updateVisualizationOfNormalizedWeights() # To normalize the default weights
