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!")
class SimulationModeModel(ErtConnector, ChoiceModelMixin):
__modes = [
EnsembleExperiment(),
EnsembleSmoother(),
IteratedEnsembleSmoother(),
MultipleDataAssimilation()
]
def __init__(self):
self.__value = SimulationModeModel.__modes[0]
super(SimulationModeModel, self).__init__()
def getChoices(self):
return SimulationModeModel.__modes
def getCurrentChoice(self):
return self.__value
def setCurrentChoice(self, value):
self.__value = value
self.observable().notify(self.CURRENT_CHOICE_CHANGED_EVENT)
def test_weights(self):
weights = mda.parseWeights("2, 2, 2, 2")
print(weights)
self.assertAlmostEqualList([2, 2, 2, 2], weights)
weights = mda.parseWeights("1, 2, 3, ")
self.assertAlmostEqualList([1, 2, 3], weights)
weights = mda.parseWeights("1, 0, 1")
self.assertAlmostEqualList([1, 1], weights)
weights = mda.parseWeights("1.414213562373095, 1.414213562373095")
self.assertAlmostEqualList([1.414213562373095, 1.414213562373095], weights)
with self.assertRaises(ValueError):
mda.parseWeights("2, error, 2, 2")
def test_normalized_weights(self):
weights = mda.normalizeWeights([1])
self.assertAlmostEqualList([1.0], weights)
weights = mda.normalizeWeights([1, 1])
self.assertAlmostEqualList([1.414214, 1.414214], weights)
weights = mda.normalizeWeights([1, 0, 1])
self.assertAlmostEqualList([1.414214, 1.414214], weights)
weights = mda.normalizeWeights([1, 1, 1])
self.assertAlmostEqualList([1.732051, 1.732051, 1.732051], weights)
weights = mda.normalizeWeights([8, 4, 2, 1])
self.assertAlmostEqualList([9.219544457292887, 4.6097722286464435, 2.3048861143232218, 1.1524430571616109], weights)
weights = mda.normalizeWeights([9.219544457292887, 4.6097722286464435, 2.3048861143232218, 1.1524430571616109])
self.assertAlmostEqualList([9.219544457292887, 4.6097722286464435, 2.3048861143232218, 1.1524430571616109], weights)
