self.__HO["AppliedToX"] = {}
if type(appliedToX) is not dict:
raise ValueError("Error: observation operator defined by \"appliedToX\" need a dictionary as argument.")
- for key in appliedToX.keys():
+ for key in list(appliedToX.keys()):
if type( appliedToX[key] ) is type( numpy.matrix([]) ):
# Pour le cas où l'on a une vraie matrice
self.__HO["AppliedToX"][key] = numpy.matrix( appliedToX[key].A1, numpy.float ).T
self.__algorithmFile = __import__(str(choice), globals(), locals(), [])
self.__algorithmName = str(choice)
sys.path = sys_path_tmp ; del sys_path_tmp
- except ImportError, e:
+ except ImportError as e:
raise ImportError("The module named \"%s\" was found, but is incorrect at the import stage.\n The import error message is: %s"%(choice,e))
#
# Instancie un objet du type élémentaire du fichier
sys_path_tmp = sys.path ; sys.path.insert(0,module_path)
self.__diagnosticFile = __import__(str(choice), globals(), locals(), [])
sys.path = sys_path_tmp ; del sys_path_tmp
- except ImportError, e:
+ except ImportError as e:
raise ImportError("The module named \"%s\" was found, but is incorrect at the import stage.\n The import error message is: %s"%(choice,e))
#
# Instancie un objet du type élémentaire du fichier
identifiés par les chaînes de caractères. L'algorithme doit avoir été
préalablement choisi sinon la méthode renvoie "None".
"""
- if len( self.__algorithm.keys()) == 0 and len( self.__StoredInputs.keys() ) == 0:
+ if len(list(self.__algorithm.keys())) == 0 and len(list(self.__StoredInputs.keys())) == 0:
return None
else:
variables = []
- if len( self.__algorithm.keys()) > 0:
- variables.extend( self.__algorithm.get().keys() )
- if len( self.__StoredInputs.keys() ) > 0:
- variables.extend( self.__StoredInputs.keys() )
+ if len( list(self.__algorithm.keys())) > 0:
+ variables.extend( list(self.__algorithm.get().keys()) )
+ if len( list(self.__StoredInputs.keys()) ) > 0:
+ variables.extend( list(self.__StoredInputs.keys()) )
variables.sort()
return variables
if isinstance(VariableName, str):
VariableNames = [VariableName,]
elif isinstance(VariableName, list):
- VariableNames = map( str, VariableName )
+ VariableNames = list(map( str, VariableName ))
else:
raise ValueError("The observer requires a name or a list of names of variables.")
#
if isinstance(VariableName, str):
VariableNames = [VariableName,]
elif isinstance(VariableName, list):
- VariableNames = map( str, VariableName )
+ VariableNames = list(map( str, VariableName ))
else:
raise ValueError("The observer requires a name or a list of names of variables.")
#
# ==============================================================================
if __name__ == "__main__":
- print '\n AUTODIAGNOSTIC \n'
+ print('\n AUTODIAGNOSTIC \n')
ObserverTemplates.store(
name = "ValuePrinter",
- content = """print info, var[-1]""",
+ content = """print(str(info)+" "+str(var[-1]))""",
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), var[-1]""",
+ 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 info, var[:]""",
+ 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('\\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 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)""",
+ 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",
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),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, 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",
order = "next",
)
ObserverTemplates.store(
name = "ValueSeriePrinterAndSaver",
- 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)""",
+ 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",
order = "next",
)
ObserverTemplates.store(
name = "ValuePrinterAndGnuPlotter",
- 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' ) )""",
+ 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 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' ) )""",
+ 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 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' ) )""",
+ 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",
order = "next",
)
ObserverTemplates.store(
name = "ValueSeriePrinterSaverAndGnuPlotter",
- 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' ) )""",
+ 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",
order = "next",
)
ObserverTemplates.store(
name = "ValueMean",
- content = """import numpy\nprint info, 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 info, 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 info, 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 info, float( numpy.linalg.norm(v) )""",
+ content = """import numpy\nv = numpy.matrix( 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 info, float( numpy.sqrt((1./v.size)*(v*v.T)) )""",
+ content = """import numpy\nv = numpy.matrix( numpy.ravel( var[-1] ) )\nprint(str(info)+" "+str(float( numpy.sqrt((1./v.size)*(v*v.T)) )))""",
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",
# ==============================================================================
if __name__ == "__main__":
- print '\n AUTODIAGNOSTIC \n'
+ print('\n AUTODIAGNOSTIC \n')
