X-Git-Url: http://git.salome-platform.org/gitweb/?a=blobdiff_plain;f=src%2FdaComposant%2FdaCore%2FBasicObjects.py;h=0cc2cb04fd55367082218c5480a1033ae341fe4f;hb=8f27741af02e5f1125f56475f0bb80e2fe709bf9;hp=7aaf176a8aeb4a67c43a13e129ee3d949a104ad0;hpb=83162a362512da56b2d56c0408e8000d4128237a;p=modules%2Fadao.git diff --git a/src/daComposant/daCore/BasicObjects.py b/src/daComposant/daCore/BasicObjects.py index 7aaf176..0cc2cb0 100644 --- a/src/daComposant/daCore/BasicObjects.py +++ b/src/daComposant/daCore/BasicObjects.py @@ -224,7 +224,8 @@ class Operator(object): else: if self.__Matrix is not None: self.__addOneMatrixCall() - _hv = self.__Matrix * xv + _xv = numpy.matrix(numpy.ravel(xv)).T + _hv = self.__Matrix * _xv else: self.__addOneMethodCall() _xserie.append( xv ) @@ -272,6 +273,7 @@ class Operator(object): _HxValue = [] for paire in _xuValue: _xValue, _uValue = paire + _xValue = numpy.matrix(numpy.ravel(_xValue)).T self.__addOneMatrixCall() _HxValue.append( self.__Matrix * _xValue ) else: @@ -318,6 +320,7 @@ class Operator(object): _HxValue = [] for paire in _nxValue: _xNominal, _xValue = paire + _xValue = numpy.matrix(numpy.ravel(_xValue)).T self.__addOneMatrixCall() _HxValue.append( self.__Matrix * _xValue ) else: @@ -850,7 +853,7 @@ class Algorithm(object): """ raise NotImplementedError("Mathematical assimilation calculation has not been implemented!") - def defineRequiredParameter(self, name = None, default = None, typecast = None, message = None, minval = None, maxval = None, listval = None): + def defineRequiredParameter(self, name = None, default = None, typecast = None, message = None, minval = None, maxval = None, listval = None, listadv = None): """ Permet de définir dans l'algorithme des paramètres requis et leurs caractéristiques par défaut. @@ -864,6 +867,7 @@ class Algorithm(object): "minval" : minval, "maxval" : maxval, "listval" : listval, + "listadv" : listadv, "message" : message, } self.__canonical_parameter_name[name.lower()] = name @@ -889,6 +893,7 @@ class Algorithm(object): minval = self.__required_parameters[__k]["minval"] maxval = self.__required_parameters[__k]["maxval"] listval = self.__required_parameters[__k]["listval"] + listadv = self.__required_parameters[__k]["listadv"] # if value is None and default is None: __val = None @@ -907,12 +912,14 @@ class Algorithm(object): raise ValueError("The parameter named '%s' of value '%s' can not be less than %s."%(__k, __val, minval)) if maxval is not None and (numpy.array(__val, float) > maxval).any(): raise ValueError("The parameter named '%s' of value '%s' can not be greater than %s."%(__k, __val, maxval)) - if listval is not None: + if listval is not None or listadv is not None: if typecast is list or typecast is tuple or isinstance(__val,list) or isinstance(__val,tuple): for v in __val: - if v not in listval: + if listval is not None and v in listval: continue + elif listadv is not None and v in listadv: continue + else: raise ValueError("The value '%s' is not allowed for the parameter named '%s', it has to be in the list %s."%(v, __k, listval)) - elif __val not in listval: + elif not (listval is not None and __val in listval) and not (listadv is not None and __val in listadv): raise ValueError("The value '%s' is not allowed for the parameter named '%s', it has to be in the list %s."%( __val, __k,listval)) # return __val