# -*- coding: utf-8 -*-
#
-# Copyright (C) 2008-2020 EDF R&D
+# Copyright (C) 2008-2023 EDF R&D
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# Author: Jean-Philippe Argaud, jean-philippe.argaud@edf.fr, EDF R&D
"""
- Modèles généraux pour les observers, le post-processing
+ Modèles généraux pour les observers, le post-processing.
"""
__author__ = "Jean-Philippe ARGAUD"
__all__ = ["ObserverTemplates"]
Classe générale de stockage de type dictionnaire étendu
(Template)
"""
+ __slots__ = ("__preferedLanguage", "__values", "__order")
+ #
def __init__( self, language = "fr_FR" ):
self.__preferedLanguage = language
self.__values = {}
self.__order = -1
-
+ #
def store( self, name = None, content = None, fr_FR = "", en_EN = "", order = "next" ):
"D.store(k, c, fr_FR, en_EN, o) -> Store template k and its main characteristics"
if name is None or content is None:
'en_EN' : str(en_EN),
'order' : int(self.__order),
}
-
+ #
def keys(self):
"D.keys() -> list of D's keys"
__keys = sorted(self.__values.keys())
return __keys
-
- # def has_key(self, name):
- # "D.has_key(k) -> True if D has a key k, else False"
- # return name in self.__values
-
+ #
def __contains__(self, name):
"D.__contains__(k) -> True if D has a key k, else False"
return name in self.__values
-
+ #
def __len__(self):
"x.__len__() <==> len(x)"
return len(self.__values)
-
+ #
def __getitem__(self, name=None ):
"x.__getitem__(y) <==> x[y]"
return self.__values[name]['content']
-
+ #
def getdoc(self, name = None, lang = "fr_FR"):
"D.getdoc(k, l) -> Return documentation of key k in language l"
if lang not in self.__values[name]: lang = self.__preferedLanguage
return self.__values[name][lang]
-
+ #
def keys_in_presentation_order(self):
"D.keys_in_presentation_order() -> list of D's keys in presentation order"
__orders = []
)
ObserverTemplates.store(
name = "ValueSaver",
- 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)""",
+ 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)""",
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",
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",
order = "next",
)
ObserverTemplates.store(
name = "ValueSerieSaver",
- 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)""",
+ 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)""",
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",
en_EN = "Save the value series of the variable in a file of the '/tmp' directory named 'value...txt' from the variable name and the saving step",
order = "next",
)
ObserverTemplates.store(
name = "ValuePrinterAndSaver",
- content = """import numpy, re\nv=numpy.array(var[-1], ndmin=1)\nprint(str(info)+" "+str(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)""",
+ content = """import numpy, re\nv=numpy.array(var[-1], ndmin=1)\nprint(str(info)+" "+str(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)""",
fr_FR = "Imprime sur la sortie standard et, en même temps enregistre dans un fichier du répertoire '/tmp', la valeur courante de la variable",
en_EN = "Print on standard output and, in the same time save in a file of the '/tmp' directory, the current value of the variable",
order = "next",
)
ObserverTemplates.store(
name = "ValueIndexPrinterAndSaver",
- content = """import numpy, re\nv=numpy.array(var[-1], ndmin=1)\nprint(str(info)+(" index %i:"%(len(var)-1))+" "+str(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)""",
+ content = """import numpy, re\nv=numpy.array(var[-1], ndmin=1)\nprint(str(info)+(" index %i:"%(len(var)-1))+" "+str(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)""",
fr_FR = "Imprime sur la sortie standard et, en même temps enregistre dans un fichier du répertoire '/tmp', la valeur courante de la variable, en ajoutant son index",
en_EN = "Print on standard output and, in the same time save in a file of the '/tmp' directory, the current value of the variable, adding its index",
order = "next",
)
ObserverTemplates.store(
name = "ValueSeriePrinterAndSaver",
- content = """import numpy, re\nv=numpy.array(var[:], ndmin=1)\nprint(str(info)+" "+str(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)""",
+ content = """import numpy, re\nv=numpy.array(var[:], ndmin=1)\nprint(str(info)+" "+str(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)""",
fr_FR = "Imprime sur la sortie standard et, en même temps, enregistre dans un fichier du répertoire '/tmp', la série des valeurs de la variable",
en_EN = "Print on standard output and, in the same time, save in a file of the '/tmp' directory, the value series of the variable",
order = "next",
)
ObserverTemplates.store(
name = "ValueGnuPlotter",
- 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' ) )""",
+ 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' ) )""",
fr_FR = "Affiche graphiquement avec Gnuplot la valeur courante de la variable",
en_EN = "Graphically plot with Gnuplot the current value of the variable",
order = "next",
)
ObserverTemplates.store(
name = "ValueSerieGnuPlotter",
- 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' ) )""",
+ 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' ) )""",
fr_FR = "Affiche graphiquement avec Gnuplot la série des valeurs de la variable",
en_EN = "Graphically plot with Gnuplot the value series of the variable",
order = "next",
)
ObserverTemplates.store(
name = "ValuePrinterAndGnuPlotter",
- content = """print(str(info)+" "+str(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' ) )""",
+ content = """print(str(info)+' '+str(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' ) )""",
fr_FR = "Imprime sur la sortie standard et, en même temps, affiche graphiquement avec Gnuplot la valeur courante de la variable",
en_EN = "Print on standard output and, in the same time, graphically plot with Gnuplot the current value of the variable",
order = "next",
)
ObserverTemplates.store(
name = "ValueSeriePrinterAndGnuPlotter",
- content = """print(str(info)+" "+str(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' ) )""",
+ content = """print(str(info)+' '+str(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' ) )""",
fr_FR = "Imprime sur la sortie standard et, en même temps, affiche graphiquement avec Gnuplot la série des valeurs de la variable",
en_EN = "Print on standard output and, in the same time, graphically plot with Gnuplot the value series of the variable",
order = "next",
)
ObserverTemplates.store(
name = "ValuePrinterSaverAndGnuPlotter",
- content = """print(str(info)+" "+str(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' ) )""",
+ content = """print(str(info)+' '+str(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' ) )""",
fr_FR = "Imprime sur la sortie standard et, en même temps, enregistre dans un fichier du répertoire '/tmp' et affiche graphiquement la valeur courante de la variable",
en_EN = "Print on standard output and, in the same, time save in a file of the '/tmp' directory and graphically plot the current value of the variable",
order = "next",
)
ObserverTemplates.store(
name = "ValueSeriePrinterSaverAndGnuPlotter",
- content = """print(str(info)+" "+str(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' ) )""",
+ content = """print(str(info)+' '+str(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' ) )""",
fr_FR = "Imprime sur la sortie standard et, en même temps, enregistre dans un fichier du répertoire '/tmp' et affiche graphiquement la série des valeurs de la variable",
en_EN = "Print on standard output and, in the same, time save in a file of the '/tmp' directory and graphically plot the value series of the variable",
order = "next",
)
ObserverTemplates.store(
name = "ValueMean",
- content = """import numpy\nprint(str(info)+" "+str(numpy.nanmean(var[-1])))""",
+ content = """import numpy\nprint(str(info)+' '+str(numpy.nanmean(var[-1])))""",
fr_FR = "Imprime sur la sortie standard la moyenne de la valeur courante de la variable",
en_EN = "Print on standard output the mean of the current value of the variable",
order = "next",
)
ObserverTemplates.store(
name = "ValueStandardError",
- content = """import numpy\nprint(str(info)+" "+str(numpy.nanstd(var[-1])))""",
+ content = """import numpy\nprint(str(info)+' '+str(numpy.nanstd(var[-1])))""",
fr_FR = "Imprime sur la sortie standard l'écart-type de la valeur courante de la variable",
en_EN = "Print on standard output the standard error of the current value of the variable",
order = "next",
)
ObserverTemplates.store(
name = "ValueVariance",
- content = """import numpy\nprint(str(info)+" "+str(numpy.nanvar(var[-1])))""",
+ content = """import numpy\nprint(str(info)+' '+str(numpy.nanvar(var[-1])))""",
fr_FR = "Imprime sur la sortie standard la variance de la valeur courante de la variable",
en_EN = "Print on standard output the variance of the current value of the variable",
order = "next",
)
ObserverTemplates.store(
name = "ValueL2Norm",
- content = """import numpy\nv = numpy.ravel( var[-1] )\nprint(str(info)+" "+str(float( numpy.linalg.norm(v) )))""",
+ content = """import numpy\nv = numpy.ravel( var[-1] )\nprint(str(info)+' '+str(float( numpy.linalg.norm(v) )))""",
fr_FR = "Imprime sur la sortie standard la norme L2 de la valeur courante de la variable",
en_EN = "Print on standard output the L2 norm of the current value of the variable",
order = "next",
)
ObserverTemplates.store(
name = "ValueRMS",
- content = """import numpy\nv = numpy.ravel( var[-1] )\nprint(str(info)+" "+str(float( numpy.sqrt((1./v.size)*numpy.dot(v,v)) )))""",
+ content = """import numpy\nv = numpy.ravel( var[-1] )\nprint(str(info)+' '+str(float( numpy.sqrt((1./v.size)*numpy.dot(v,v)) )))""",
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",
en_EN = "Print on standard output the root mean square (RMS), or quadratic mean, of the current value of the variable",
order = "next",
UserPostAnalysisTemplates.store(
name = "AnalysisPrinter",
- content = """import numpy\nxa=numpy.ravel(ADD.get('Analysis')[-1])\nprint('Analysis:',xa)""",
+ content = """print('# Post-analysis')\nimport numpy\nxa=ADD.get('Analysis')[-1]\nprint('Analysis',xa)""",
fr_FR = "Imprime sur la sortie standard la valeur optimale",
en_EN = "Print on standard output the optimal value",
order = "next",
)
UserPostAnalysisTemplates.store(
name = "AnalysisSaver",
- content = """import numpy\nxa=numpy.ravel(ADD.get('Analysis')[-1])\nf='/tmp/analysis.txt'\nprint('Analysis saved in \"%s\"'%f)\nnumpy.savetxt(f,xa)""",
+ content = """print('# Post-analysis')\nimport numpy\nxa=ADD.get('Analysis')[-1]\nf='/tmp/analysis.txt'\nprint('Analysis saved in \"%s\"'%f)\nnumpy.savetxt(f,xa)""",
fr_FR = "Enregistre la valeur optimale dans un fichier du répertoire '/tmp' nommé 'analysis.txt'",
en_EN = "Save the optimal value in a file of the '/tmp' directory named 'analysis.txt'",
order = "next",
)
UserPostAnalysisTemplates.store(
name = "AnalysisPrinterAndSaver",
- content = """import numpy\nxa=numpy.ravel(ADD.get('Analysis')[-1])\nprint 'Analysis:',xa\nf='/tmp/analysis.txt'\nprint('Analysis saved in \"%s\"'%f)\nnumpy.savetxt(f,xa)""",
+ content = """print('# Post-analysis')\nimport numpy\nxa=ADD.get('Analysis')[-1]\nprint('Analysis',xa)\nf='/tmp/analysis.txt'\nprint('Analysis saved in \"%s\"'%f)\nnumpy.savetxt(f,xa)""",
fr_FR = "Imprime sur la sortie standard et, en même temps enregistre dans un fichier du répertoire '/tmp', la valeur optimale",
en_EN = "Print on standard output and, in the same time save in a file of the '/tmp' directory, the optimal value",
order = "next",
)
+UserPostAnalysisTemplates.store(
+ name = "AnalysisSeriePrinter",
+ content = """print('# Post-analysis')\nimport numpy\nxa=ADD.get('Analysis')\nprint('Analysis',xa)""",
+ fr_FR = "Imprime sur la sortie standard la série des valeurs optimales",
+ en_EN = "Print on standard output the optimal value series",
+ order = "next",
+ )
+UserPostAnalysisTemplates.store(
+ name = "AnalysisSerieSaver",
+ content = """print('# Post-analysis')\nimport numpy\nxa=ADD.get('Analysis')\nf='/tmp/analysis.txt'\nprint('Analysis saved in \"%s\"'%f)\nnumpy.savetxt(f,xa)""",
+ fr_FR = "Enregistre la série des valeurs optimales dans un fichier du répertoire '/tmp' nommé 'analysis.txt'",
+ en_EN = "Save the optimal value series in a file of the '/tmp' directory named 'analysis.txt'",
+ order = "next",
+ )
+UserPostAnalysisTemplates.store(
+ name = "AnalysisSeriePrinterAndSaver",
+ content = """print('# Post-analysis')\nimport numpy\nxa=ADD.get('Analysis')\nprint('Analysis',xa)\nf='/tmp/analysis.txt'\nprint('Analysis saved in \"%s\"'%f)\nnumpy.savetxt(f,xa)""",
+ fr_FR = "Imprime sur la sortie standard et, en même temps enregistre dans un fichier du répertoire '/tmp', la série des valeurs optimales",
+ en_EN = "Print on standard output and, in the same time save in a file of the '/tmp' directory, the optimal value series",
+ order = "next",
+ )
# ==============================================================================
if __name__ == "__main__":