# -*- coding: utf-8 -*-
#
-# Copyright (C) 2008-2017 EDF R&D
+# Copyright (C) 2008-2024 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
# See http://www.salome-platform.org/ or email : webmaster.salome@opencascade.com
#
# 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"]
+# flake8: noqa
+
import numpy
# ==============================================================================
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 = int(order)
self.__values[str(name)] = {
'content': str(content),
- 'fr_FR' : str(fr_FR),
- 'en_EN' : str(en_EN),
- 'order' : int(self.__order),
- }
+ 'fr_FR' : str(fr_FR), # noqa: E203
+ 'en_EN' : str(en_EN), # noqa: E203
+ 'order' : int(self.__order), # noqa: E203
+ }
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 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
+ 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 = []
- for k in self.keys():
- __orders.append( self.__values[k]['order'] )
+ for ik in self.keys():
+ __orders.append( self.__values[ik]['order'] )
__reorder = numpy.array(__orders).argsort()
- return list(numpy.array(self.keys())[__reorder])
+ return (numpy.array(self.keys())[__reorder]).tolist()
# ==============================================================================
ObserverTemplates = TemplateStorage()
fr_FR = "Imprime sur la sortie standard la valeur courante de la variable",
en_EN = "Print on standard output the current value of the variable",
order = "next",
- )
+)
ObserverTemplates.store(
name = "ValueAndIndexPrinter",
content = """print(str(info)+(" index %i:"%(len(var)-1))+" "+str(var[-1]))""",
fr_FR = "Imprime sur la sortie standard la valeur courante de la variable, en ajoutant son index",
en_EN = "Print on standard output the current value of the variable, adding its index",
order = "next",
- )
+)
ObserverTemplates.store(
name = "ValueSeriePrinter",
content = """print(str(info)+" "+str(var[:]))""",
fr_FR = "Imprime sur la sortie standard la série des valeurs de la variable",
en_EN = "Print on standard output the value series of the variable",
order = "next",
- )
+)
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(r'\\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(r'\\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)""",
- fr_FR = "Imprime sur la sortie standard et, en même temps enregistre dans un fichier, la valeur courante de la variable",
- en_EN = "Print on standard output and, in the same time save in a file, the current value of the variable",
+ 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(r'\\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)""",
- fr_FR = "Imprime sur la sortie standard et, en même temps enregistre dans un fichier, 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, the current value of the variable, adding its index",
+ 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(r'\\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)""",
- fr_FR = "Imprime sur la sortie standard et, en même temps, enregistre dans un fichier la série des valeurs de la variable",
- en_EN = "Print on standard output and, in the same time, save in a file the value series of the variable",
+ 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(r'\\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' ) )""",
- fr_FR = "Affiche graphiquement avec Gnuplot la valeur courante de la variable",
- en_EN = "Graphically plot with Gnuplot the current value of the variable",
+ content = """import numpy, Gnuplot\nv=numpy.array(var[-1], ndmin=1)\nglobal igfig, gp\ntry:\n igfig+=1\n gp('set title \"%s (Figure %i)\"'%(info,igfig))\nexcept:\n igfig=0\n gp=Gnuplot.Gnuplot(persist=1)\n gp('set title \"%s (Figure %i)\"'%(info,igfig))\n gp('set style data lines')\ngp.plot( Gnuplot.Data( v, with_='lines lw 2' ) )""",
+ fr_FR = "Affiche graphiquement avec Gnuplot la valeur courante de la variable (affichage persistant)",
+ en_EN = "Graphically plot with Gnuplot the current value of the variable (persistent plot)",
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' ) )""",
- 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",
+ content = """import numpy, Gnuplot\nv=numpy.array(var[:], ndmin=1)\nglobal igfig, gp\ntry:\n igfig+=1\n gp('set title \"%s (Figure %i)\"'%(info,igfig))\nexcept:\n igfig=0\n gp=Gnuplot.Gnuplot(persist=1)\n gp('set title \"%s (Figure %i)\"'%(info,igfig))\n gp('set style data lines')\n gp('set xlabel \"Step\"')\n gp('set ylabel \"Variable\"')\ngp.plot( Gnuplot.Data( v, with_='lines lw 2' ) )""",
+ fr_FR = "Affiche graphiquement avec Gnuplot la série des valeurs de la variable (affichage persistant)",
+ en_EN = "Graphically plot with Gnuplot the value series of the variable (persistent plot)",
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' ) )""",
- 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",
+ content = """print(str(info)+' '+str(var[-1]))\nimport numpy, Gnuplot\nv=numpy.array(var[-1], ndmin=1)\nglobal igfig, gp\ntry:\n igfig+=1\n gp('set title \"%s (Figure %i)\"'%(info,igfig))\nexcept:\n igfig=0\n gp=Gnuplot.Gnuplot(persist=1)\n gp('set title \"%s (Figure %i)\"'%(info,igfig))\n gp('set style data lines')\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 (affichage persistant)",
+ en_EN = "Print on standard output and, in the same time, graphically plot with Gnuplot the current value of the variable (persistent plot)",
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' ) )""",
- 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",
+ content = """print(str(info)+' '+str(var[:]))\nimport numpy, Gnuplot\nv=numpy.array(var[:], ndmin=1)\nglobal igfig, gp\ntry:\n igfig+=1\n gp('set title \"%s (Figure %i)\"'%(info,igfig))\nexcept:\n igfig=0\n gp=Gnuplot.Gnuplot(persist=1)\n gp('set title \"%s (Figure %i)\"'%(info,igfig))\n gp('set style data lines')\n gp('set xlabel \"Step\"')\n gp('set ylabel \"Variable\"')\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 (affichage persistant)",
+ en_EN = "Print on standard output and, in the same time, graphically plot with Gnuplot the value series of the variable (persistent plot)",
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' ) )""",
- fr_FR = "Imprime sur la sortie standard et, en même temps, enregistre dans un fichier et affiche graphiquement la valeur courante de la variable ",
- en_EN = "Print on standard output and, in the same, time save in a file and graphically plot the current value of the variable",
+ 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(r'\\s','_',f)\nprint('Value saved in \"%s\"'%f)\nnumpy.savetxt(f,v)\nimport Gnuplot\nglobal igfig, gp\ntry:\n igfig+=1\n gp('set title \"%s (Figure %i)\"'%(info,igfig))\nexcept:\n igfig=0\n gp=Gnuplot.Gnuplot(persist=1)\n gp('set title \"%s (Figure %i)\"'%(info,igfig))\n gp('set style data lines')\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 (affichage persistant)",
+ 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 (persistent plot)",
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' ) )""",
- 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",
- en_EN = "Print on standard output and, in the same, time save in a file and graphically plot the value series of the variable",
+ 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(r'\\s','_',f)\nprint('Value saved in \"%s\"'%f)\nnumpy.savetxt(f,v)\nimport Gnuplot\nglobal igfig, gp\ntry:\n igfig+=1\n gp('set title \"%s (Figure %i)\"'%(info,igfig))\nexcept:\n igfig=0\n gp=Gnuplot.Gnuplot(persist=1)\n gp('set title \"%s (Figure %i)\"'%(info,igfig))\n gp('set style data lines')\n gp('set xlabel \"Step\"')\n gp('set ylabel \"Variable\"')\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 (affichage persistant)",
+ 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 (persistent plot)",
+ order = "next",
+)
+ObserverTemplates.store(
+ name = "ValueMatPlotter",
+ content = """import numpy\nimport matplotlib.pyplot as plt\nv=numpy.array(var[-1], ndmin=1)\nglobal imfig, mp, ax\nplt.ion()\ntry:\n imfig+=1\n mp.suptitle('%s (Figure %i)'%(info,imfig))\nexcept:\n imfig=0\n mp = plt.figure()\n ax = mp.add_subplot(1, 1, 1)\n mp.suptitle('%s (Figure %i)'%(info,imfig))\nax.plot(v)\nplt.show()""",
+ fr_FR = "Affiche graphiquement avec Matplolib la valeur courante de la variable (affichage non persistant)",
+ en_EN = "Graphically plot with Matplolib the current value of the variable (non persistent plot)",
+ order = "next",
+)
+ObserverTemplates.store(
+ name = "ValueMatPlotterSaver",
+ content = """import numpy, re\nimport matplotlib.pyplot as plt\nv=numpy.array(var[-1], ndmin=1)\nglobal imfig, mp, ax\nplt.ion()\ntry:\n imfig+=1\n mp.suptitle('%s (Figure %i)'%(info,imfig))\nexcept:\n imfig=0\n mp = plt.figure()\n ax = mp.add_subplot(1, 1, 1)\n mp.suptitle('%s (Figure %i)'%(info,imfig))\nax.plot(v)\nf='/tmp/figure_%s_%05i.pdf'%(info,imfig)\nf=re.sub(r'\\s','_',f)\nplt.savefig(f)\nplt.show()""",
+ fr_FR = "Affiche graphiquement avec Matplolib la valeur courante de la variable, et enregistre la figure dans un fichier du répertoire '/tmp' (figure persistante)",
+ en_EN = "Graphically plot with Matplolib the current value of the variable, and save the figure in a file of the '/tmp' directory (persistant figure)",
order = "next",
- )
+)
+ObserverTemplates.store(
+ name = "ValueSerieMatPlotter",
+ content = """import numpy\nimport matplotlib.pyplot as plt\nv=numpy.array(var[:], ndmin=1)\nglobal imfig, mp, ax\nplt.ion()\ntry:\n imfig+=1\n mp.suptitle('%s (Figure %i)'%(info,imfig))\nexcept:\n imfig=0\n mp = plt.figure()\n ax = mp.add_subplot(1, 1, 1)\n mp.suptitle('%s (Figure %i)'%(info,imfig))\n ax.set_xlabel('Step')\n ax.set_ylabel('Variable')\nax.plot(v)\nplt.show()""",
+ fr_FR = "Affiche graphiquement avec Matplolib la série des valeurs de la variable (affichage non persistant)",
+ en_EN = "Graphically plot with Matplolib the value series of the variable (non persistent plot)",
+ order = "next",
+)
+ObserverTemplates.store(
+ name = "ValueSerieMatPlotterSaver",
+ content = """import numpy, re\nimport matplotlib.pyplot as plt\nv=numpy.array(var[:], ndmin=1)\nglobal imfig, mp, ax\nplt.ion()\ntry:\n imfig+=1\n mp.suptitle('%s (Figure %i)'%(info,imfig))\nexcept:\n imfig=0\n mp = plt.figure()\n ax = mp.add_subplot(1, 1, 1)\n mp.suptitle('%s (Figure %i)'%(info,imfig))\n ax.set_xlabel('Step')\n ax.set_ylabel('Variable')\nax.plot(v)\nf='/tmp/figure_%s_%05i.pdf'%(info,imfig)\nf=re.sub(r'\\s','_',f)\nplt.savefig(f)\nplt.show()""",
+ fr_FR = "Affiche graphiquement avec Matplolib la série des valeurs de la variable, et enregistre la figure dans un fichier du répertoire '/tmp' (figure persistante)",
+ en_EN = "Graphically plot with Matplolib the value series of the variable, and save the figure in a file of the '/tmp' directory (persistant figure)",
+ order = "next",
+)
+ObserverTemplates.store(
+ name = "ValuePrinterAndMatPlotter",
+ content = """print(str(info)+' '+str(var[-1]))\nimport numpy\nimport matplotlib.pyplot as plt\nv=numpy.array(var[-1], ndmin=1)\nglobal imfig, mp, ax\nplt.ion()\ntry:\n imfig+=1\n mp.suptitle('%s (Figure %i)'%(info,imfig))\nexcept:\n imfig=0\n mp = plt.figure()\n ax = mp.add_subplot(1, 1, 1)\n mp.suptitle('%s (Figure %i)'%(info,imfig))\nax.plot(v)\nplt.show()""",
+ fr_FR = "Affiche graphiquement avec Matplolib la valeur courante de la variable (affichage non persistant)",
+ en_EN = "Graphically plot with Matplolib the current value of the variable (non persistent plot)",
+ order = "next",
+)
+ObserverTemplates.store(
+ name = "ValuePrinterAndMatPlotterSaver",
+ content = """print(str(info)+' '+str(var[-1]))\nimport numpy, re\nimport matplotlib.pyplot as plt\nv=numpy.array(var[-1], ndmin=1)\nglobal imfig, mp, ax\nplt.ion()\ntry:\n imfig+=1\n mp.suptitle('%s (Figure %i)'%(info,imfig))\nexcept:\n imfig=0\n mp = plt.figure()\n ax = mp.add_subplot(1, 1, 1)\n mp.suptitle('%s (Figure %i)'%(info,imfig))\nax.plot(v)\nf='/tmp/figure_%s_%05i.pdf'%(info,imfig)\nf=re.sub(r'\\s','_',f)\nplt.savefig(f)\nplt.show()""",
+ fr_FR = "Affiche graphiquement avec Matplolib la valeur courante de la variable, et enregistre la figure dans un fichier du répertoire '/tmp' (figure persistante)",
+ en_EN = "Graphically plot with Matplolib the current value of the variable, and save the figure in a file of the '/tmp' directory (persistant figure)",
+ order = "next",
+)
+ObserverTemplates.store(
+ name = "ValueSeriePrinterAndMatPlotter",
+ content = """print(str(info)+' '+str(var[:]))\nimport numpy\nimport matplotlib.pyplot as plt\nv=numpy.array(var[:], ndmin=1)\nglobal imfig, mp, ax\nplt.ion()\ntry:\n imfig+=1\n mp.suptitle('%s (Figure %i)'%(info,imfig))\nexcept:\n imfig=0\n mp = plt.figure()\n ax = mp.add_subplot(1, 1, 1)\n mp.suptitle('%s (Figure %i)'%(info,imfig))\n ax.set_xlabel('Step')\n ax.set_ylabel('Variable')\nax.plot(v)\nplt.show()""",
+ fr_FR = "Affiche graphiquement avec Matplolib la série des valeurs de la variable (affichage non persistant)",
+ en_EN = "Graphically plot with Matplolib the value series of the variable (non persistent plot)",
+ order = "next",
+)
+ObserverTemplates.store(
+ name = "ValueSeriePrinterAndMatPlotterSaver",
+ content = """print(str(info)+' '+str(var[:]))\nimport numpy, re\nimport matplotlib.pyplot as plt\nv=numpy.array(var[:], ndmin=1)\nglobal imfig, mp, ax\nplt.ion()\ntry:\n imfig+=1\n mp.suptitle('%s (Figure %i)'%(info,imfig))\nexcept:\n imfig=0\n mp = plt.figure()\n ax = mp.add_subplot(1, 1, 1)\n mp.suptitle('%s (Figure %i)'%(info,imfig))\n ax.set_xlabel('Step')\n ax.set_ylabel('Variable')\nax.plot(v)\nf='/tmp/figure_%s_%05i.pdf'%(info,imfig)\nf=re.sub(r'\\s','_',f)\nplt.savefig(f)\nplt.show()""",
+ fr_FR = "Affiche graphiquement avec Matplolib la série des valeurs de la variable, et enregistre la figure dans un fichier du répertoire '/tmp' (figure persistante)",
+ en_EN = "Graphically plot with Matplolib the value series of the variable, and save the figure in a file of the '/tmp' directory (persistant figure)",
+ 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.matrix( 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.matrix( numpy.ravel( var[-1] ) )\nprint(str(info)+" "+str(float( numpy.sqrt((1./v.size)*(v*v.T)) )))""",
+ 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 = TemplateStorage()
+
+UserPostAnalysisTemplates.store(
+ name = "AnalysisPrinter",
+ 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 = """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 = """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__":
- print('\n AUTODIAGNOSTIC \n')
+ print("\n AUTODIAGNOSTIC\n")
