1 # -*- coding: utf-8 -*-
3 # Copyright (C) 2008-2020 EDF R&D
5 # This library is free software; you can redistribute it and/or
6 # modify it under the terms of the GNU Lesser General Public
7 # License as published by the Free Software Foundation; either
8 # version 2.1 of the License.
10 # This library is distributed in the hope that it will be useful,
11 # but WITHOUT ANY WARRANTY; without even the implied warranty of
12 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
13 # Lesser General Public License for more details.
15 # You should have received a copy of the GNU Lesser General Public
16 # License along with this library; if not, write to the Free Software
17 # Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
19 # See http://www.salome-platform.org/ or email : webmaster.salome@opencascade.com
21 # Author: Jean-Philippe Argaud, jean-philippe.argaud@edf.fr, EDF R&D
22 "Verification d'un exemple de la documentation"
27 # ==============================================================================
28 class Test_Adao(unittest.TestCase):
31 print("""Exemple de la doc :
33 Un exemple simple de creation d'un cas de calcul TUI ADAO
34 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++
36 #---------------------------------------------------------------------------
37 from numpy import array, matrix
38 from adao import adaoBuilder
39 case = adaoBuilder.New()
40 case.set( 'AlgorithmParameters', Algorithm='3DVAR' )
41 case.set( 'Background', Vector=[0, 1, 2] )
42 case.set( 'BackgroundError', ScalarSparseMatrix=1.0 )
43 case.set( 'Observation', Vector=array([0.5, 1.5, 2.5]) )
44 case.set( 'ObservationError', DiagonalSparseMatrix='1 1 1' )
45 case.set( 'ObservationOperator', Matrix='1 0 0;0 2 0;0 0 3' )
46 case.set( 'Observer', Variable="Analysis", Template="ValuePrinter" )
48 #---------------------------------------------------------------------------
49 xa = case.get("Analysis")[-1]
50 ecart = assertAlmostEqualArrays(xa, [0.25, 0.80, 0.95], places = 5)
52 print(" L'écart absolu maximal obtenu lors du test est de %.2e."%ecart)
53 print(" Les résultats obtenus sont corrects.")
56 # ==============================================================================
57 def assertAlmostEqualArrays(first, second, places=7, msg=None, delta=None):
58 "Compare two vectors, like unittest.assertAlmostEqual"
63 if ( numpy.abs(numpy.asarray(first) - numpy.asarray(second)) > float(delta) ).any():
64 raise AssertionError("%s != %s within %s places"%(first,second,delta))
66 if ( numpy.abs(numpy.asarray(first) - numpy.asarray(second)) > 10**(-int(places)) ).any():
67 raise AssertionError("%s != %s within %i places"%(first,second,places))
68 return max(abs(numpy.asarray(first) - numpy.asarray(second)))
70 # ==============================================================================
71 if __name__ == "__main__":
72 print('\nAUTODIAGNOSTIC\n')
73 sys.stderr = sys.stdout
74 unittest.main(verbosity=2)