1 # -*- coding: utf-8 -*-
3 # Copyright (C) 2008-2018 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"
24 from utExtend import assertAlmostEqualArrays
26 # ==============================================================================
29 from numpy import array, matrix
30 from adao import adaoBuilder
31 case = adaoBuilder.New()
32 case.set( 'AlgorithmParameters', Algorithm='3DVAR' )
33 case.set( 'Background', Vector=[0, 1, 2] )
34 case.set( 'BackgroundError', ScalarSparseMatrix=1.0 )
35 case.set( 'Observation', Vector=array([0.5, 1.5, 2.5]) )
36 case.set( 'ObservationError', DiagonalSparseMatrix='1 1 1' )
37 case.set( 'ObservationOperator', Matrix='1 0 0;0 2 0;0 0 3' )
38 case.set( 'Observer', Variable="Analysis", Template="ValuePrinter" )
41 return case.get("Analysis")[-1]
45 from numpy import array, matrix
46 from adao import adaoBuilder
47 case = adaoBuilder.New()
48 case.set( 'AlgorithmParameters', Algorithm='3DVAR' )
49 case.set( 'Background', Vector=[0, 1, 2] )
50 case.set( 'BackgroundError', ScalarSparseMatrix=1.0 )
51 case.set( 'Observation', Vector=array([0.5, 1.5, 2.5]) )
52 case.set( 'ObservationError', DiagonalSparseMatrix='1 1 1' )
55 __x = numpy.matrix(numpy.ravel(numpy.matrix(x))).T
56 __H = numpy.matrix("1 0 0;0 2 0;0 0 3")
59 case.set( 'ObservationOperator',
60 OneFunction = simulation,
61 Parameters = {"DifferentialIncrement":0.01},
63 case.set( 'Observer', Variable="Analysis", Template="ValuePrinter" )
66 return case.get("Analysis")[-1]
68 # ==============================================================================
69 if __name__ == "__main__":
70 print('\nAUTODIAGNOSTIC\n')
71 print("""Exemple de la doc :
73 Creation detaillee d'un cas de calcul TUI ADAO
74 ++++++++++++++++++++++++++++++++++++++++++++++
75 Les deux resultats sont testes pour etre identiques.
79 ecart = assertAlmostEqualArrays(xa1, xa2, places = 15)
80 print(" Difference maximale entre les deux : %.2e"%ecart)