# -*- coding: utf-8 -*-
#
-# Copyright (C) 2008-2017 EDF R&D
+# Copyright (C) 2008-2018 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
"""
Définit les outils généraux élémentaires.
-
- Ce module est destiné à être appelée par AssimilationStudy.
"""
__author__ = "Jean-Philippe ARGAUD"
__all__ = []
-import os, sys, logging, copy
+import os
+import sys
+import logging
+import copy
import numpy
from daCore import Persistence
from daCore import PlatformInfo
+from daCore import Interfaces
from daCore import Templates
+from daCore.Interfaces import ImportFromScript
# ==============================================================================
class CacheManager(object):
self.__NbCallsAsMatrix, self.__NbCallsAsMethod, self.__NbCallsOfCached = 0, 0, 0
self.__AvoidRC = bool( avoidingRedundancy )
if fromMethod is not None:
- self.__Method = fromMethod
+ self.__Method = fromMethod # logtimer(fromMethod)
self.__Matrix = None
self.__Type = "Method"
elif fromMatrix is not None:
name = "GenericFullOperator",
asMatrix = None,
asOneFunction = None, # Fonction
- asThreeFunctions = None, # Dictionnaire de fonctions
- asScript = None,
+ asThreeFunctions = None, # Fonctions dictionary
+ asScript = None, # Fonction(s) script
asDict = None, # Parameters
appliedInX = None,
avoidRC = True,
#
if __appliedInX is not None:
self.__FO["AppliedInX"] = {}
- if type(__appliedInX) is not dict:
+ if not isinstance(__appliedInX, dict):
raise ValueError("Error: observation operator defined by \"AppliedInX\" need a dictionary as argument.")
for key in list(__appliedInX.keys()):
if type( __appliedInX[key] ) is type( numpy.matrix([]) ):
self._parameters[k] = self.setParameterValue(k)
logging.debug("%s %s : %s", self._name, self.__required_parameters[k]["message"], self._parameters[k])
-# ==============================================================================
-class Diagnostic(object):
- """
- Classe générale d'interface de type diagnostic
-
- Ce template s'utilise de la manière suivante : il sert de classe "patron" en
- même temps que l'une des classes de persistance, comme "OneScalar" par
- exemple.
-
- Une classe élémentaire de diagnostic doit implémenter ses deux méthodes, la
- méthode "_formula" pour écrire explicitement et proprement la formule pour
- l'écriture mathématique du calcul du diagnostic (méthode interne non
- publique), et "calculate" pour activer la précédente tout en ayant vérifié
- et préparé les données, et pour stocker les résultats à chaque pas (méthode
- externe d'activation).
- """
- def __init__(self, name = "", parameters = {}):
- "Initialisation"
- self.name = str(name)
- self.parameters = dict( parameters )
-
- def _formula(self, *args):
- """
- Doit implémenter l'opération élémentaire de diagnostic sous sa forme
- mathématique la plus naturelle possible.
- """
- raise NotImplementedError("Diagnostic mathematical formula has not been implemented!")
-
- def calculate(self, *args):
- """
- Active la formule de calcul avec les arguments correctement rangés
- """
- raise NotImplementedError("Diagnostic activation method has not been implemented!")
-
-# ==============================================================================
-class DiagnosticAndParameters(object):
- """
- Classe générale d'interface d'interface de type diagnostic
- """
- def __init__(self,
- name = "GenericDiagnostic",
- asDiagnostic = None,
- asIdentifier = None,
- asDict = None,
- asScript = None,
- asUnit = None,
- asBaseType = None,
- asExistingDiags = None,
- ):
- """
- """
- self.__name = str(name)
- self.__D = None
- self.__I = None
- self.__P = {}
- self.__U = ""
- self.__B = None
- self.__E = tuple(asExistingDiags)
- self.__TheDiag = None
- #
- if asScript is not None:
- __Diag = ImportFromScript(asScript).getvalue( "Diagnostic" )
- __Iden = ImportFromScript(asScript).getvalue( "Identifier" )
- __Dict = ImportFromScript(asScript).getvalue( self.__name, "Parameters" )
- __Unit = ImportFromScript(asScript).getvalue( "Unit" )
- __Base = ImportFromScript(asScript).getvalue( "BaseType" )
- else:
- __Diag = asDiagnostic
- __Iden = asIdentifier
- __Dict = asDict
- __Unit = asUnit
- __Base = asBaseType
- #
- if __Diag is not None:
- self.__D = str(__Diag)
- if __Iden is not None:
- self.__I = str(__Iden)
- else:
- self.__I = str(__Diag)
- if __Dict is not None:
- self.__P.update( dict(__Dict) )
- if __Unit is None or __Unit == "None":
- self.__U = ""
- if __Base is None or __Base == "None":
- self.__B = None
- #
- self.__setDiagnostic( self.__D, self.__I, self.__U, self.__B, self.__P, self.__E )
-
- def get(self):
- "Renvoie l'objet"
- return self.__TheDiag
-
- def __setDiagnostic(self, __choice = None, __name = "", __unit = "", __basetype = None, __parameters = {}, __existings = () ):
- """
- Permet de sélectionner un diagnostic a effectuer
- """
- if __choice is None:
- raise ValueError("Error: diagnostic choice has to be given")
- __daDirectory = "daDiagnostics"
- #
- # Recherche explicitement le fichier complet
- # ------------------------------------------
- __module_path = None
- for directory in sys.path:
- if os.path.isfile(os.path.join(directory, __daDirectory, str(__choice)+'.py')):
- __module_path = os.path.abspath(os.path.join(directory, __daDirectory))
- if __module_path is None:
- raise ImportError("No diagnostic module named \"%s\" was found in a \"%s\" subdirectory\n The search path is %s"%(__choice, __daDirectory, sys.path))
- #
- # Importe le fichier complet comme un module
- # ------------------------------------------
- try:
- __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 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
- # -------------------------------------------------
- if __name in __existings:
- raise ValueError("A default input with the same name \"%s\" already exists."%str(__name))
- else:
- self.__TheDiag = self.__diagnosticFile.ElementaryDiagnostic(
- name = __name,
- unit = __unit,
- basetype = __basetype,
- parameters = __parameters )
- return 0
-
# ==============================================================================
class AlgorithmAndParameters(object):
"""
#
self.updateParameters( asDict, asScript )
#
- if asScript is not None:
+ if asAlgorithm is None and asScript is not None:
__Algo = ImportFromScript(asScript).getvalue( "Algorithm" )
else:
__Algo = asAlgorithm
asScript = None,
):
"Mise a jour des parametres"
- if asScript is not None:
+ if asDict is None and asScript is not None:
__Dict = ImportFromScript(asScript).getvalue( self.__name, "Parameters" )
else:
__Dict = asDict
def executeYACSScheme(self, FileName=None):
"Permet de lancer le calcul d'assimilation"
if FileName is None or not os.path.exists(FileName):
- raise ValueError("an existing DIC Python file name has to be given for YACS execution.\n")
- if not PlatformInfo.has_salome or not PlatformInfo.has_yacs or not PlatformInfo.has_adao:
- raise ImportError("Unable to get SALOME, YACS or ADAO environnement variables. Please launch SALOME before executing.\n")
- #
- __converterExe = os.path.join(os.environ["ADAO_ROOT_DIR"], "bin/salome", "AdaoYacsSchemaCreator.py")
- __inputFile = os.path.abspath(FileName)
- __outputFile = __inputFile[:__inputFile.rfind(".")] + '.xml'
- #
- __args = ["python", __converterExe, __inputFile, __outputFile]
- import subprocess
- __p = subprocess.Popen(__args)
- (__stdoutdata, __stderrdata) = __p.communicate()
- if not os.path.exists(__outputFile):
- __msg = "An error occured during the execution of the ADAO YACS Schema\n"
- __msg += "Creator applied on the input file:\n"
- __msg += " %s\n"%__inputFile
- __msg += "If SALOME GUI is launched by command line, see errors\n"
- __msg += "details in your terminal.\n"
- raise ValueError(__msg)
- #
+ raise ValueError("a YACS file name has to be given for YACS execution.\n")
+ else:
+ __file = os.path.abspath(FileName)
+ logging.debug("The YACS file name is \"%s\"."%__file)
+ if not PlatformInfo.has_salome or \
+ not PlatformInfo.has_yacs or \
+ not PlatformInfo.has_adao:
+ raise ImportError("\n\n"+\
+ "Unable to get SALOME, YACS or ADAO environnement variables.\n"+\
+ "Please load the right environnement before trying to use it.\n")
+ #
+ import pilot
+ import SALOMERuntime
+ import loader
+ SALOMERuntime.RuntimeSALOME_setRuntime()
+
+ r = pilot.getRuntime()
+ xmlLoader = loader.YACSLoader()
+ xmlLoader.registerProcCataLoader()
try:
- import pilot
- import SALOMERuntime
- import loader
- SALOMERuntime.RuntimeSALOME_setRuntime()
-
- r = pilot.getRuntime()
- xmlLoader = loader.YACSLoader()
- xmlLoader.registerProcCataLoader()
- try:
- catalogAd = r.loadCatalog("proc", __outputFile)
- except:
- pass
+ catalogAd = r.loadCatalog("proc", __file)
r.addCatalog(catalogAd)
-
- try:
- p = xmlLoader.load(__outputFile)
- except IOError as ex:
- print("IO exception: %s"%(ex,))
-
- logger = p.getLogger("parser")
- if not logger.isEmpty():
- print("The imported file has errors :")
- print(logger.getStr())
-
- if not p.isValid():
- print("Le schéma n'est pas valide et ne peut pas être exécuté")
- print(p.getErrorReport())
-
- info=pilot.LinkInfo(pilot.LinkInfo.ALL_DONT_STOP)
- p.checkConsistency(info)
- if info.areWarningsOrErrors():
- print("Le schéma n'est pas cohérent et ne peut pas être exécuté")
- print(info.getGlobalRepr())
-
- e = pilot.ExecutorSwig()
- e.RunW(p)
- if p.getEffectiveState() != pilot.DONE:
- print(p.getErrorReport())
except:
- raise ValueError("execution error of YACS scheme")
+ pass
+
+ try:
+ p = xmlLoader.load(__file)
+ except IOError as ex:
+ print("The YACS XML schema file can not be loaded: %s"%(ex,))
+
+ logger = p.getLogger("parser")
+ if not logger.isEmpty():
+ print("The imported YACS XML schema has errors on parsing:")
+ print(logger.getStr())
+
+ if not p.isValid():
+ print("The YACS XML schema is not valid and will not be executed:")
+ print(p.getErrorReport())
+
+ info=pilot.LinkInfo(pilot.LinkInfo.ALL_DONT_STOP)
+ p.checkConsistency(info)
+ if info.areWarningsOrErrors():
+ print("The YACS XML schema is not coherent and will not be executed:")
+ print(info.getGlobalRepr())
+
+ e = pilot.ExecutorSwig()
+ e.RunW(p)
+ if p.getEffectiveState() != pilot.DONE:
+ print(p.getErrorReport())
#
return 0
"""
Permet de sélectionner l'algorithme à utiliser pour mener à bien l'étude
d'assimilation. L'argument est un champ caractère se rapportant au nom
- d'un fichier contenu dans "../daAlgorithms" et réalisant l'opération
- d'assimilation sur les arguments fixes.
+ d'un algorithme réalisant l'opération sur les arguments fixes.
"""
if choice is None:
raise ValueError("Error: algorithm choice has to be given")
if os.path.isfile(os.path.join(directory, daDirectory, str(choice)+'.py')):
module_path = os.path.abspath(os.path.join(directory, daDirectory))
if module_path is None:
- raise ImportError("No algorithm module named \"%s\" was found in a \"%s\" subdirectory\n The search path is %s"%(choice, daDirectory, sys.path))
+ raise ImportError("No algorithm module named \"%s\" has been found in the search path.\n The search path is %s"%(choice, sys.path))
#
# Importe le fichier complet comme un module
# ------------------------------------------
try:
sys_path_tmp = sys.path ; sys.path.insert(0,module_path)
self.__algorithmFile = __import__(str(choice), globals(), locals(), [])
+ if not hasattr(self.__algorithmFile, "ElementaryAlgorithm"):
+ raise ImportError("this module does not define a valid elementary algorithm.")
self.__algorithmName = str(choice)
sys.path = sys_path_tmp ; del sys_path_tmp
except ImportError as e:
if not( min(__EM_shape) == max(__EM_shape) ):
raise ValueError("Shape characteristic of evolution operator (EM) is incorrect: \"%s\"."%(__EM_shape,))
#
- if len(self.__HO) > 0 and not(type(self.__HO) is type({})) and not( __HO_shape[1] == max(__Xb_shape) ):
+ if len(self.__HO) > 0 and not isinstance(self.__HO, dict) and not( __HO_shape[1] == max(__Xb_shape) ):
raise ValueError("Shape characteristic of observation operator (H) \"%s\" and state (X) \"%s\" are incompatible."%(__HO_shape,__Xb_shape))
- if len(self.__HO) > 0 and not(type(self.__HO) is type({})) and not( __HO_shape[0] == max(__Y_shape) ):
+ if len(self.__HO) > 0 and not isinstance(self.__HO, dict) and not( __HO_shape[0] == max(__Y_shape) ):
raise ValueError("Shape characteristic of observation operator (H) \"%s\" and observation (Y) \"%s\" are incompatible."%(__HO_shape,__Y_shape))
- if len(self.__HO) > 0 and not(type(self.__HO) is type({})) and len(self.__B) > 0 and not( __HO_shape[1] == __B_shape[0] ):
+ if len(self.__HO) > 0 and not isinstance(self.__HO, dict) and len(self.__B) > 0 and not( __HO_shape[1] == __B_shape[0] ):
raise ValueError("Shape characteristic of observation operator (H) \"%s\" and a priori errors covariance matrix (B) \"%s\" are incompatible."%(__HO_shape,__B_shape))
- if len(self.__HO) > 0 and not(type(self.__HO) is type({})) and len(self.__R) > 0 and not( __HO_shape[0] == __R_shape[1] ):
+ if len(self.__HO) > 0 and not isinstance(self.__HO, dict) and len(self.__R) > 0 and not( __HO_shape[0] == __R_shape[1] ):
raise ValueError("Shape characteristic of observation operator (H) \"%s\" and observation errors covariance matrix (R) \"%s\" are incompatible."%(__HO_shape,__R_shape))
#
if self.__B is not None and len(self.__B) > 0 and not( __B_shape[1] == max(__Xb_shape) ):
if self.__R is not None and len(self.__R) > 0 and not( __R_shape[1] == max(__Y_shape) ):
raise ValueError("Shape characteristic of observation errors covariance matrix (R) \"%s\" and observation (Y) \"%s\" are incompatible."%(__R_shape,__Y_shape))
#
- if self.__EM is not None and len(self.__EM) > 0 and not(type(self.__EM) is type({})) and not( __EM_shape[1] == max(__Xb_shape) ):
+ if self.__EM is not None and len(self.__EM) > 0 and not isinstance(self.__EM, dict) and not( __EM_shape[1] == max(__Xb_shape) ):
raise ValueError("Shape characteristic of evolution model (EM) \"%s\" and state (X) \"%s\" are incompatible."%(__EM_shape,__Xb_shape))
#
- if self.__CM is not None and len(self.__CM) > 0 and not(type(self.__CM) is type({})) and not( __CM_shape[1] == max(__U_shape) ):
+ if self.__CM is not None and len(self.__CM) > 0 and not isinstance(self.__CM, dict) and not( __CM_shape[1] == max(__U_shape) ):
raise ValueError("Shape characteristic of control model (CM) \"%s\" and control (U) \"%s\" are incompatible."%(__CM_shape,__U_shape))
#
if ("Bounds" in self.__P) \
#
return 1
+# ==============================================================================
+class RegulationAndParameters(object):
+ """
+ Classe générale d'interface d'action pour la régulation et ses paramètres
+ """
+ def __init__(self,
+ name = "GenericRegulation",
+ asAlgorithm = None,
+ asDict = None,
+ asScript = None,
+ ):
+ """
+ """
+ self.__name = str(name)
+ self.__P = {}
+ #
+ if asAlgorithm is None and asScript is not None:
+ __Algo = ImportFromScript(asScript).getvalue( "Algorithm" )
+ else:
+ __Algo = asAlgorithm
+ #
+ if asDict is None and asScript is not None:
+ __Dict = ImportFromScript(asScript).getvalue( self.__name, "Parameters" )
+ else:
+ __Dict = asDict
+ #
+ if __Dict is not None:
+ self.__P.update( dict(__Dict) )
+ #
+ if __Algo is not None:
+ self.__P.update( {"Algorithm":self.__A} )
+
+ def get(self, key = None):
+ "Vérifie l'existence d'une clé de variable ou de paramètres"
+ if key in self.__P:
+ return self.__P[key]
+ else:
+ return self.__P
+
# ==============================================================================
class DataObserver(object):
"""
self.size = self.__V.size
elif __Series is not None:
self.__is_series = True
- if type(__Series) in (tuple, list, numpy.ndarray, numpy.matrix):
+ if isinstance(__Series, (tuple, list, numpy.ndarray, numpy.matrix, str)):
self.__V = Persistence.OneVector(self.__name, basetype=numpy.matrix)
+ if isinstance(__Series, str): __Series = eval(__Series)
for member in __Series:
self.__V.store( numpy.matrix( numpy.asmatrix(member).A1, numpy.float ).T )
import sys ; sys.stdout.flush()
else:
self.__V = __Series
- if type(self.__V.shape) in (tuple, list):
+ if isinstance(self.__V.shape, (tuple, list)):
self.shape = self.__V.shape
else:
self.shape = self.__V.shape()
def __validate(self):
"Validation"
+ if self.__C is None:
+ raise UnboundLocalError("%s covariance matrix value has not been set!"%(self.__name,))
if self.ismatrix() and min(self.shape) != max(self.shape):
raise ValueError("The given matrix for %s is not a square one, its shape is %s. Please check your matrix input."%(self.__name,self.shape))
if self.isobject() and min(self.shape) != max(self.shape):
"x.__mul__(y) <==> x*y"
if self.ismatrix() and isinstance(other,numpy.matrix):
return self.__C * other
- elif self.ismatrix() and (isinstance(other,numpy.ndarray) \
- or isinstance(other,list) \
- or isinstance(other,tuple)):
+ elif self.ismatrix() and isinstance(other, (list, numpy.ndarray, tuple)):
if numpy.ravel(other).size == self.shape[1]: # Vecteur
return self.__C * numpy.asmatrix(numpy.ravel(other)).T
elif numpy.asmatrix(other).shape[0] == self.shape[1]: # Matrice
return self.__C * numpy.asmatrix(other)
else:
raise ValueError("operands could not be broadcast together with shapes %s %s in %s matrix"%(self.shape,numpy.asmatrix(other).shape,self.__name))
- elif self.isvector() and (isinstance(other,numpy.matrix) \
- or isinstance(other,numpy.ndarray) \
- or isinstance(other,list) \
- or isinstance(other,tuple)):
+ elif self.isvector() and isinstance(other, (list, numpy.matrix, numpy.ndarray, tuple)):
if numpy.ravel(other).size == self.shape[1]: # Vecteur
return numpy.asmatrix(self.__C * numpy.ravel(other)).T
elif numpy.asmatrix(other).shape[0] == self.shape[1]: # Matrice
raise ValueError("operands could not be broadcast together with shapes %s %s in %s matrix"%(self.shape,numpy.ravel(other).shape,self.__name))
elif self.isscalar() and isinstance(other,numpy.matrix):
return self.__C * other
- elif self.isscalar() and (isinstance(other,numpy.ndarray) \
- or isinstance(other,list) \
- or isinstance(other,tuple)):
+ elif self.isscalar() and isinstance(other, (list, numpy.ndarray, tuple)):
if len(numpy.asarray(other).shape) == 1 or numpy.asarray(other).shape[1] == 1 or numpy.asarray(other).shape[0] == 1:
return self.__C * numpy.asmatrix(numpy.ravel(other)).T
else:
"""
Conservation des commandes de creation d'un cas
"""
- def __init__(self, __name="", __objname="case", __viewers={}, __loaders={}):
+ def __init__(self, __name="", __objname="case", __addViewers=None, __addLoaders=None):
self.__name = str(__name)
self.__objname = str(__objname)
self.__logSerie = []
self.__switchoff = False
- self.__viewers = self.__loaders = {"TUI":_TUIViewer}
- self.__viewers.update(__viewers)
- self.__loaders.update(__loaders)
+ self.__viewers = {
+ "TUI" :Interfaces._TUIViewer,
+ "SCD" :Interfaces._SCDViewer,
+ "YACS":Interfaces._YACSViewer,
+ }
+ self.__loaders = {
+ "TUI" :Interfaces._TUIViewer,
+ "COM" :Interfaces._COMViewer,
+ }
+ if __addViewers is not None:
+ self.__viewers.update(dict(__addViewers))
+ if __addLoaders is not None:
+ self.__loaders.update(dict(__addLoaders))
def register(self, __command=None, __keys=None, __local=None, __pre=None, __switchoff=False):
"Enregistrement d'une commande individuelle"
if not __switchoff:
self.__switchoff = False
- def dump(self, __filename=None, __format="TUI"):
- "Restitution normalisée des commandes (par les *GenericCaseViewer)"
+ def dump(self, __filename=None, __format="TUI", __upa=""):
+ "Restitution normalisée des commandes"
if __format in self.__viewers:
__formater = self.__viewers[__format](self.__name, self.__objname, self.__logSerie)
else:
raise ValueError("Dumping as \"%s\" is not available"%__format)
- return __formater.dump(__filename)
+ return __formater.dump(__filename, __upa)
- def load(self, __filename=None, __format="TUI"):
+ def load(self, __filename=None, __content=None, __object=None, __format="TUI"):
"Chargement normalisé des commandes"
if __format in self.__loaders:
__formater = self.__loaders[__format]()
else:
raise ValueError("Loading as \"%s\" is not available"%__format)
- return __formater.load(__filename)
-
-# ==============================================================================
-class GenericCaseViewer(object):
- """
- Gestion des commandes de creation d'une vue de cas
- """
- def __init__(self, __name="", __objname="case", __content=None):
- "Initialisation et enregistrement de l'entete"
- self._name = str(__name)
- self._objname = str(__objname)
- self._lineSerie = []
- self._switchoff = False
- self._numobservers = 2
- self._content = __content
- self._missing = """raise ValueError("This case requires beforehand to import or define the variable named <%s>. When corrected, remove this command, correct and uncomment the following one.")\n# """
- def _append(self):
- "Transformation de commande individuelle en enregistrement"
- raise NotImplementedError()
- def _extract(self):
- "Transformation d'enregistrement en commande individuelle"
- raise NotImplementedError()
- def _interpret(self):
- "Interprétation d'une commande"
- raise NotImplementedError()
- def _finalize(self):
- "Enregistrement du final"
- pass
- def _addLine(self, line=""):
- "Ajoute un enregistrement individuel"
- self._lineSerie.append(line)
- def dump(self, __filename=None):
- "Restitution normalisée des commandes"
- self._finalize()
- __text = "\n".join(self._lineSerie)
- __text +="\n"
- if __filename is not None:
- __file = os.path.abspath(__filename)
- fid = open(__file,"w")
- fid.write(__text)
- fid.close()
- return __text
- def load(self, __filename=None):
- "Chargement normalisé des commandes"
- if os.path.exists(__filename):
- self._content = open(__filename, 'r').read()
- __commands = self._extract(self._content)
- return __commands
- def execCase(self, __filename=None):
- "Exécution normalisée des commandes"
- if os.path.exists(__filename):
- self._content = open(__filename, 'r').read()
- __retcode = self._interpret(self._content)
- return __retcode
-
-class _TUIViewer(GenericCaseViewer):
- """
- Etablissement des commandes de creation d'un cas TUI
- """
- def __init__(self, __name="", __objname="case", __content=None):
- "Initialisation et enregistrement de l'entete"
- GenericCaseViewer.__init__(self, __name, __objname, __content)
- self._addLine("#\n# Python script for ADAO TUI\n#")
- self._addLine("from numpy import array, matrix")
- self._addLine("import adaoBuilder")
- self._addLine("%s = adaoBuilder.New('%s')"%(self._objname, self._name))
- if self._content is not None:
- for command in self._content:
- self._append(*command)
- def _append(self, __command=None, __keys=None, __local=None, __pre=None, __switchoff=False):
- "Transformation d'une commande individuelle en un enregistrement"
- if __command is not None and __keys is not None and __local is not None:
- __text = ""
- if __pre is not None:
- __text += "%s = "%__pre
- __text += "%s.%s( "%(self._objname,str(__command))
- if "self" in __keys: __keys.remove("self")
- if __command not in ("set","get") and "Concept" in __keys: __keys.remove("Concept")
- for k in __keys:
- __v = __local[k]
- if __v is None: continue
- if k == "Checked" and not __v: continue
- if k == "Stored" and not __v: continue
- if k == "AvoidRC" and __v: continue
- if k == "noDetails": continue
- if isinstance(__v,Persistence.Persistence): __v = __v.values()
- if callable(__v): __text = self._missing%__v.__name__+__text
- if isinstance(__v,dict):
- for val in __v.values():
- if callable(val): __text = self._missing%val.__name__+__text
- numpy.set_printoptions(precision=15,threshold=1000000,linewidth=1000*15)
- __text += "%s=%s, "%(k,repr(__v))
- numpy.set_printoptions(precision=8,threshold=1000,linewidth=75)
- __text.rstrip(", ")
- __text += ")"
- self._addLine(__text)
- def _extract(self, __content=""):
- "Transformation un enregistrement en une commande individuelle"
- __is_case = False
- __commands = []
- __content = __content.replace("\r\n","\n")
- for line in __content.split("\n"):
- if "adaoBuilder" in line and "=" in line:
- self._objname = line.split("=")[0].strip()
- __is_case = True
- if not __is_case:
- continue
- else:
- if self._objname+".set" in line:
- __commands.append( line.replace(self._objname+".","",1) )
- return __commands
- def _interpret(self, __content=""):
- "Interprétation d'une commande"
- __content = __content.replace("\r\n","\n")
- exec(__content)
- return 0
-
-# ==============================================================================
-class ImportFromScript(object):
- """
- Obtention d'une variable nommee depuis un fichier script importe
- """
- def __init__(self, __filename=None):
- "Verifie l'existence et importe le script"
- self.__filename = __filename.rstrip(".py")
- if self.__filename is None:
- raise ValueError("The name of the file, containing the variable to be read, has to be specified.")
- if not os.path.isfile(str(self.__filename)+".py"):
- raise ValueError("The file containing the variable to be imported doesn't seem to exist. Please check the file. The given file name is:\n \"%s\""%self.__filename)
- self.__scriptfile = __import__(self.__filename, globals(), locals(), [])
- self.__scriptstring = open(self.__filename+".py",'r').read()
- def getvalue(self, __varname=None, __synonym=None ):
- "Renvoie la variable demandee"
- if __varname is None:
- raise ValueError("The name of the variable to be read has to be specified. Please check the content of the file and the syntax.")
- if not hasattr(self.__scriptfile, __varname):
- if __synonym is None:
- raise ValueError("The imported script file \"%s\" doesn't contain the mandatory variable \"%s\" to be read. Please check the content of the file and the syntax."%(str(self.__filename)+".py",__varname))
- elif not hasattr(self.__scriptfile, __synonym):
- raise ValueError("The imported script file \"%s\" doesn't contain the mandatory variable \"%s\" to be read. Please check the content of the file and the syntax."%(str(self.__filename)+".py",__synonym))
- else:
- return getattr(self.__scriptfile, __synonym)
- else:
- return getattr(self.__scriptfile, __varname)
- def getstring(self):
- "Renvoie le script complet"
- return self.__scriptstring
+ return __formater.load(__filename, __content, __object)
# ==============================================================================
def CostFunction3D(_x,
