1 #-*-coding:iso-8859-1-*-
3 # Copyright (C) 2008-2015 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
24 from daCore import BasicObjects
27 # ==============================================================================
28 class ElementaryAlgorithm(BasicObjects.Algorithm):
30 BasicObjects.Algorithm.__init__(self, "FUNCTIONTEST")
31 self.defineRequiredParameter(
32 name = "NumberOfPrintedDigits",
35 message = "Nombre de chiffres affichés pour les impressions de réels",
38 self.defineRequiredParameter(
39 name = "NumberOfRepetition",
42 message = "Nombre de fois où l'exécution de la fonction est répétée",
45 self.defineRequiredParameter(
49 message = "Titre du tableau et de la figure",
51 self.defineRequiredParameter(
55 message = "Activation du mode debug lors de l'exécution",
58 def run(self, Xb=None, Y=None, U=None, HO=None, EM=None, CM=None, R=None, B=None, Q=None, Parameters=None):
61 self.setParameters(Parameters)
63 Hm = HO["Direct"].appliedTo
68 _p = self._parameters["NumberOfPrintedDigits"]
69 if len(self._parameters["ResultTitle"]) > 0:
70 msg = " ====" + "="*len(self._parameters["ResultTitle"]) + "====\n"
71 msg += " " + self._parameters["ResultTitle"] + "\n"
72 msg += " ====" + "="*len(self._parameters["ResultTitle"]) + "====\n"
75 msg = "===> Information before launching:\n"
76 msg += " -----------------------------\n"
77 msg += " Characteristics of input vector X, internally converted:\n"
78 msg += " Type...............: %s\n"%type( Xn )
79 msg += " Lenght of vector...: %i\n"%max(numpy.matrix( Xn ).shape)
80 msg += (" Minimum value......: %."+str(_p)+"e\n")%numpy.min( Xn )
81 msg += (" Maximum value......: %."+str(_p)+"e\n")%numpy.max( Xn )
82 msg += (" Mean of vector.....: %."+str(_p)+"e\n")%numpy.mean( Xn )
83 msg += (" Standard error.....: %."+str(_p)+"e\n")%numpy.std( Xn )
84 msg += (" L2 norm of vector..: %."+str(_p)+"e\n")%numpy.linalg.norm( Xn )
87 if self._parameters["SetDebug"]:
88 CUR_LEVEL = logging.getLogger().getEffectiveLevel()
89 logging.getLogger().setLevel(logging.DEBUG)
90 print("===> Beginning of evaluation, activating debug\n")
92 print("===> Beginning of evaluation, without activating debug\n")
96 for i in range(self._parameters["NumberOfRepetition"]):
97 print(" %s\n"%("-"*75,))
98 if self._parameters["NumberOfRepetition"] > 1:
99 print("===> Repetition step number %i on a total of %i\n"%(i+1,self._parameters["NumberOfRepetition"]))
100 print("===> Launching direct operator evaluation\n")
104 print("\n===> End of direct operator evaluation\n")
106 msg = ("===> Information after evaluation:\n")
107 msg += ("\n Characteristics of simulated output vector Y=H(X), to compare to others:\n")
108 msg += (" Type...............: %s\n")%type( Yn )
109 msg += (" Lenght of vector...: %i\n")%max(numpy.matrix( Yn ).shape)
110 msg += (" Minimum value......: %."+str(_p)+"e\n")%numpy.min( Yn )
111 msg += (" Maximum value......: %."+str(_p)+"e\n")%numpy.max( Yn )
112 msg += (" Mean of vector.....: %."+str(_p)+"e\n")%numpy.mean( Yn )
113 msg += (" Standard error.....: %."+str(_p)+"e\n")%numpy.std( Yn )
114 msg += (" L2 norm of vector..: %."+str(_p)+"e\n")%numpy.linalg.norm( Yn )
117 Ys.append( copy.copy( numpy.ravel(
122 print(" %s\n"%("-"*75,))
123 if self._parameters["SetDebug"]:
124 print("===> End evaluation, deactivating debug if necessary\n")
125 logging.getLogger().setLevel(CUR_LEVEL)
127 if self._parameters["NumberOfRepetition"] > 1:
128 msg = (" %s\n"%("-"*75,))
129 msg += ("\n===> Statistical analysis of the outputs obtained throught repeated evaluations\n")
130 Yy = numpy.array( Ys )
131 msg += ("\n Characteristics of the whole set of outputs Y:\n")
132 msg += (" Number of evaluations.........................: %i\n")%len( Ys )
133 msg += (" Minimum value of the whole set of outputs.....: %."+str(_p)+"e\n")%numpy.min( Yy )
134 msg += (" Maximum value of the whole set of outputs.....: %."+str(_p)+"e\n")%numpy.max( Yy )
135 msg += (" Mean of vector of the whole set of outputs....: %."+str(_p)+"e\n")%numpy.mean( Yy )
136 msg += (" Standard error of the whole set of outputs....: %."+str(_p)+"e\n")%numpy.std( Yy )
137 Ym = numpy.mean( numpy.array( Ys ), axis=0 )
138 msg += ("\n Characteristics of the vector Ym, mean of the outputs Y:\n")
139 msg += (" Size of the mean of the outputs...............: %i\n")%Ym.size
140 msg += (" Minimum value of the mean of the outputs......: %."+str(_p)+"e\n")%numpy.min( Ym )
141 msg += (" Maximum value of the mean of the outputs......: %."+str(_p)+"e\n")%numpy.max( Ym )
142 msg += (" Mean of the mean of the outputs...............: %."+str(_p)+"e\n")%numpy.mean( Ym )
143 msg += (" Standard error of the mean of the outputs.....: %."+str(_p)+"e\n")%numpy.std( Ym )
144 Ye = numpy.mean( numpy.array( Ys ) - Ym, axis=0 )
145 msg += "\n Characteristics of the mean of the differences between the outputs Y and their mean Ym:\n"
146 msg += (" Size of the mean of the differences...........: %i\n")%Ym.size
147 msg += (" Minimum value of the mean of the differences..: %."+str(_p)+"e\n")%numpy.min( Ye )
148 msg += (" Maximum value of the mean of the differences..: %."+str(_p)+"e\n")%numpy.max( Ye )
149 msg += (" Mean of the mean of the differences...........: %."+str(_p)+"e\n")%numpy.mean( Ye )
150 msg += (" Standard error of the mean of the differences.: %."+str(_p)+"e\n")%numpy.std( Ye )
151 msg += ("\n %s\n"%("-"*75,))
157 # ==============================================================================
158 if __name__ == "__main__":
159 print '\n AUTODIAGNOSTIC \n'