X-Git-Url: http://git.salome-platform.org/gitweb/?a=blobdiff_plain;f=src%2FdaComposant%2FdaCore%2FTemplates.py;h=52d2f07a9afdb205a03745f4223590f1a8bc979f;hb=a6845547d27bcdc0928f898a4c8a2e4fc276c69e;hp=cb3f0a273e1d06c65b2baa1d0345639c1eaad5ae;hpb=58e3efe3bafde4a6439b8947e9e6336d77fe7aad;p=modules%2Fadao.git

diff --git a/src/daComposant/daCore/Templates.py b/src/daComposant/daCore/Templates.py
index cb3f0a2..52d2f07 100644
--- a/src/daComposant/daCore/Templates.py
+++ b/src/daComposant/daCore/Templates.py
@@ -1,6 +1,6 @@
 # -*- coding: utf-8 -*-
 #
-# Copyright (C) 2008-2021 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
@@ -21,7 +21,7 @@
 # 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"]
@@ -34,11 +34,13 @@ class TemplateStorage(object):
     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:
@@ -53,33 +55,29 @@ class TemplateStorage(object):
             '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 = []
@@ -114,112 +112,112 @@ ObserverTemplates.store(
     )
 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",
@@ -230,25 +228,46 @@ UserPostAnalysisTemplates = TemplateStorage()
 
 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__":