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_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)
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)