Python MultipleDataAssimilation.normalizeWeights Examples

Example #1

File: multiple_data_assimilation_panel.py Project: blattms/ert-debian

 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!")

Example #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)

Example #3

File: test_multiple_data_assimilation.py Project: berland/ert

    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)