fix

python/test/t_stiffened_panel.py

@@ -0,0 +1,34 @@
+#! /usr/bin/env python
+
+import openturns as ot
+from openturns.testing import assert_almost_equal
+from openturns.usecases import stiffened_panel as stiffened_panel
+
+
+ot.TESTPREAMBLE()
+ot.PlatformInfo.SetNumericalPrecision(20)
+
+print("Test the FloodModel data class.")
+sp = stiffened_panel.StiffenedPanel()
+
+print(sp.inputDistribution)
+# test parameter
+assert sp.dim == 10
+
+# test marginals means
+assert_almost_equal(sp.E.getMean()[0], 1338.1299666394023, 1e-12)
+assert_almost_equal(sp.nu.getMean()[0], 30.001003758482675, 1e-12)
+assert_almost_equal(sp.h_c.getMean()[0], 50.0, 1e-12)
+assert_almost_equal(sp.ell.getMean()[0], 55.0, 1e-12)
+assert_almost_equal(sp.f_1.getMean()[0], 300.0, 1e-12)
+assert_almost_equal(sp.f_2.getMean()[0], 5000.0, 1e-12)
+assert_almost_equal(sp.t.getMean()[0], 55.5, 1e-12)
+assert_almost_equal(sp.a.getMean()[0], 3.0, 1e-12)
+assert_almost_equal(sp.b_0.getMean()[0], 3.0, 1e-12)
+assert_almost_equal(sp.p.getMean()[0], 3.0, 1e-12)
+
+meanInput = sp.distribution.getMean()
+print("meanInput = ", meanInput)
+meanOutput = sp.model(meanInput)
+print("meanOutput = ", meanOutput)
+assert_almost_equal(meanOutput, [2.5313, -5.96869, 1.0362], 1.0e-4)