1 #-*-coding:iso-8859-1-*-
3 # Copyright (C) 2008-2016 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 Modèles généraux pour les observers, le post-processing
26 __author__ = "Jean-Philippe ARGAUD"
27 __all__ = ["ObserverTemplates"]
31 # ==============================================================================
32 class TemplateStorage(object):
34 Classe générale de stockage de type dictionnaire étendu
37 def __init__( self, language = "fr_FR" ):
38 self.__preferedLanguage = language
42 def store( self, name = None, content = None, fr_FR = "", en_EN = "", order = "next" ):
43 "D.store(k, c, fr_FR, en_EN, o) -> Store template k and its main characteristics"
44 if name is None or content is None:
45 raise ValueError("To be consistent, the storage of a template must provide a name and a content.")
49 self.__order = int(order)
50 self.__values[str(name)] = {
51 'content': str(content),
54 'order' : int(self.__order),
58 "D.keys() -> list of D's keys"
59 __keys = self.__values.keys()
63 def has_key(self, name):
64 "D.has_key(k) -> True if D has a key k, else False"
65 return name in self.__values
67 def __contains__(self, name):
68 "D.__contains__(k) -> True if D has a key k, else False"
69 return name in self.__values
72 "x.__len__() <==> len(x)"
73 return len(self.__values)
75 def __getitem__(self, name=None ):
76 "x.__getitem__(y) <==> x[y]"
77 return self.__values[name]['content']
79 def getdoc(self, name = None, lang = "fr_FR"):
80 "D.getdoc(k, l) -> Return documentation of key k in language l"
81 if lang not in self.__values[name]: lang = self.__preferedLanguage
82 return self.__values[name][lang]
84 def keys_in_presentation_order(self):
85 "D.keys_in_presentation_order() -> list of D's keys in presentation order"
88 __orders.append( self.__values[k]['order'] )
89 __reorder = numpy.array(__orders).argsort()
90 return list(numpy.array(self.keys())[__reorder])
92 # ==============================================================================
93 ObserverTemplates = TemplateStorage()
95 ObserverTemplates.store(
96 name = "ValuePrinter",
97 content = """print info, var[-1]""",
98 fr_FR = "Imprime sur la sortie standard la valeur courante de la variable",
99 en_EN = "Print on standard output the current value of the variable",
102 ObserverTemplates.store(
103 name = "ValueSeriePrinter",
104 content = """print info, var[:]""",
105 fr_FR = "Imprime sur la sortie standard la série des valeurs de la variable",
106 en_EN = "Print on standard output the value serie of the variable",
109 ObserverTemplates.store(
111 content = """import numpy, re\nv=numpy.array(var[-1], ndmin=1)\nglobal istep\ntry:\n istep += 1\nexcept:\n istep = 0\nf='/tmp/value_%s_%05i.txt'%(info,istep)\nf=re.sub('\\s','_',f)\nprint 'Value saved in \"%s\"'%f\nnumpy.savetxt(f,v)""",
112 fr_FR = "Enregistre la valeur courante de la variable dans un fichier du répertoire '/tmp' nommé 'value...txt' selon le nom de la variable et l'étape d'enregistrement",
113 en_EN = "Save the current value of the variable in a file of the '/tmp' directory named 'value...txt' from the variable name and the saving step",
116 ObserverTemplates.store(
117 name = "ValueSerieSaver",
118 content = """import numpy, re\nv=numpy.array(var[:], ndmin=1)\nglobal istep\ntry:\n istep += 1\nexcept:\n istep = 0\nf='/tmp/value_%s_%05i.txt'%(info,istep)\nf=re.sub('\\s','_',f)\nprint 'Value saved in \"%s\"'%f\nnumpy.savetxt(f,v)""",
119 fr_FR = "Enregistre la série des valeurs de la variable dans un fichier du répertoire '/tmp' nommé 'value...txt' selon le nom de la variable et l'étape",
120 en_EN = "Save the value serie of the variable in a file of the '/tmp' directory named 'value...txt' from the variable name and the saving step",
123 ObserverTemplates.store(
124 name = "ValuePrinterAndSaver",
125 content = """import numpy, re\nv=numpy.array(var[-1], ndmin=1)\nprint info,v\nglobal istep\ntry:\n istep += 1\nexcept:\n istep = 0\nf='/tmp/value_%s_%05i.txt'%(info,istep)\nf=re.sub('\\s','_',f)\nprint 'Value saved in \"%s\"'%f\nnumpy.savetxt(f,v)""",
126 fr_FR = "Imprime sur la sortie standard et, en même temps, enregistre dans un fichier la valeur courante de la variable",
127 en_EN = "Print on standard output and, in the same time, save in a file the current value of the variable",
130 ObserverTemplates.store(
131 name = "ValueSeriePrinterAndSaver",
132 content = """import numpy, re\nv=numpy.array(var[:], ndmin=1)\nprint info,v\nglobal istep\ntry:\n istep += 1\nexcept:\n istep = 0\nf='/tmp/value_%s_%05i.txt'%(info,istep)\nf=re.sub('\\s','_',f)\nprint 'Value saved in \"%s\"'%f\nnumpy.savetxt(f,v)""",
133 fr_FR = "Imprime sur la sortie standard et, en même temps, enregistre dans un fichier la série des valeurs de la variable",
134 en_EN = "Print on standard output and, in the same time, save in a file the value serie of the variable",
137 ObserverTemplates.store(
138 name = "ValueGnuPlotter",
139 content = """import numpy, Gnuplot\nv=numpy.array(var[-1], ndmin=1)\nglobal ifig, gp\ntry:\n ifig += 1\n gp(' set style data lines')\nexcept:\n ifig = 0\n gp = Gnuplot.Gnuplot(persist=1)\n gp(' set style data lines')\ngp('set title \"%s (Figure %i)\"'%(info,ifig))\ngp.plot( Gnuplot.Data( v, with_='lines lw 2' ) )""",
140 fr_FR = "Affiche graphiquement avec Gnuplot la valeur courante de la variable",
141 en_EN = "Graphically plot with Gnuplot the current value of the variable",
144 ObserverTemplates.store(
145 name = "ValueSerieGnuPlotter",
146 content = """import numpy, Gnuplot\nv=numpy.array(var[:], ndmin=1)\nglobal ifig, gp\ntry:\n ifig += 1\n gp(' set style data lines')\nexcept:\n ifig = 0\n gp = Gnuplot.Gnuplot(persist=1)\n gp(' set style data lines')\ngp('set title \"%s (Figure %i)\"'%(info,ifig))\ngp.plot( Gnuplot.Data( v, with_='lines lw 2' ) )""",
147 fr_FR = "Affiche graphiquement avec Gnuplot la série des valeurs de la variable",
148 en_EN = "Graphically plot with Gnuplot the value serie of the variable",
151 ObserverTemplates.store(
152 name = "ValuePrinterAndGnuPlotter",
153 content = """print info, var[-1]\nimport numpy, Gnuplot\nv=numpy.array(var[-1], ndmin=1)\nglobal ifig,gp\ntry:\n ifig += 1\n gp(' set style data lines')\nexcept:\n ifig = 0\n gp = Gnuplot.Gnuplot(persist=1)\n gp(' set style data lines')\ngp('set title \"%s (Figure %i)\"'%(info,ifig))\ngp.plot( Gnuplot.Data( v, with_='lines lw 2' ) )""",
154 fr_FR = "Imprime sur la sortie standard et, en même temps, affiche graphiquement avec Gnuplot la valeur courante de la variable",
155 en_EN = "Print on standard output and, in the same time, graphically plot with Gnuplot the current value of the variable",
158 ObserverTemplates.store(
159 name = "ValueSeriePrinterAndGnuPlotter",
160 content = """print info, var[:] \nimport numpy, Gnuplot\nv=numpy.array(var[:], ndmin=1)\nglobal ifig,gp\ntry:\n ifig += 1\n gp(' set style data lines')\nexcept:\n ifig = 0\n gp = Gnuplot.Gnuplot(persist=1)\n gp(' set style data lines')\ngp('set title \"%s (Figure %i)\"'%(info,ifig))\ngp.plot( Gnuplot.Data( v, with_='lines lw 2' ) )""",
161 fr_FR = "Imprime sur la sortie standard et, en même temps, affiche graphiquement avec Gnuplot la série des valeurs de la variable",
162 en_EN = "Print on standard output and, in the same time, graphically plot with Gnuplot the value serie of the variable",
165 ObserverTemplates.store(
166 name = "ValuePrinterSaverAndGnuPlotter",
167 content = """print info, var[-1]\nimport numpy, re\nv=numpy.array(var[-1], ndmin=1)\nglobal istep\ntry:\n istep += 1\nexcept:\n istep = 0\nf='/tmp/value_%s_%05i.txt'%(info,istep)\nf=re.sub('\\s','_',f)\nprint 'Value saved in \"%s\"'%f\nnumpy.savetxt(f,v)\nimport Gnuplot\nglobal ifig,gp\ntry:\n ifig += 1\n gp(' set style data lines')\nexcept:\n ifig = 0\n gp = Gnuplot.Gnuplot(persist=1)\n gp(' set style data lines')\ngp('set title \"%s (Figure %i)\"'%(info,ifig))\ngp.plot( Gnuplot.Data( v, with_='lines lw 2' ) )""",
168 fr_FR = "Imprime sur la sortie standard et, en même temps, enregistre dans un fichier et affiche graphiquement la valeur courante de la variable ",
169 en_EN = "Print on standard output and, in the same, time save in a file and graphically plot the current value of the variable",
172 ObserverTemplates.store(
173 name = "ValueSeriePrinterSaverAndGnuPlotter",
174 content = """print info, var[:] \nimport numpy, re\nv=numpy.array(var[:], ndmin=1)\nglobal istep\ntry:\n istep += 1\nexcept:\n istep = 0\nf='/tmp/value_%s_%05i.txt'%(info,istep)\nf=re.sub('\\s','_',f)\nprint 'Value saved in \"%s\"'%f\nnumpy.savetxt(f,v)\nimport Gnuplot\nglobal ifig,gp\ntry:\n ifig += 1\n gp(' set style data lines')\nexcept:\n ifig = 0\n gp = Gnuplot.Gnuplot(persist=1)\n gp(' set style data lines')\ngp('set title \"%s (Figure %i)\"'%(info,ifig))\ngp.plot( Gnuplot.Data( v, with_='lines lw 2' ) )""",
175 fr_FR = "Imprime sur la sortie standard et, en même temps, enregistre dans un fichier et affiche graphiquement la série des valeurs de la variable",
176 en_EN = "Print on standard output and, in the same, time save in a file and graphically plot the value serie of the variable",
179 ObserverTemplates.store(
181 content = """import numpy\nprint info, numpy.nanmean(var[-1])""",
182 fr_FR = "Imprime sur la sortie standard la moyenne de la valeur courante de la variable",
183 en_EN = "Print on standard output the mean of the current value of the variable",
186 ObserverTemplates.store(
187 name = "ValueStandardError",
188 content = """import numpy\nprint info, numpy.nanstd(var[-1])""",
189 fr_FR = "Imprime sur la sortie standard l'écart-type de la valeur courante de la variable",
190 en_EN = "Print on standard output the standard error of the current value of the variable",
193 ObserverTemplates.store(
194 name = "ValueVariance",
195 content = """import numpy\nprint info, numpy.nanvar(var[-1])""",
196 fr_FR = "Imprime sur la sortie standard la variance de la valeur courante de la variable",
197 en_EN = "Print on standard output the variance of the current value of the variable",
200 ObserverTemplates.store(
201 name = "ValueL2Norm",
202 content = """import numpy\nv = numpy.matrix( numpy.ravel( var[-1] ) )\nprint info, float( numpy.linalg.norm(v) )""",
203 fr_FR = "Imprime sur la sortie standard la norme L2 de la valeur courante de la variable",
204 en_EN = "Print on standard output the L2 norm of the current value of the variable",
207 ObserverTemplates.store(
209 content = """import numpy\nv = numpy.matrix( numpy.ravel( var[-1] ) )\nprint info, float( numpy.sqrt((1./v.size)*(v*v.T)) )""",
210 fr_FR = "Imprime sur la sortie standard la racine de la moyenne des carrés (RMS), ou moyenne quadratique, de la valeur courante de la variable",
211 en_EN = "Print on standard output the root mean square (RMS), or quadratic mean, of the current value of the variable",
215 # ==============================================================================
216 if __name__ == "__main__":
217 print '\n AUTODIAGNOSTIC \n'