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!")
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")
