-// Copyright (C) 2007-2016 CEA/DEN, EDF R&D
+// Copyright (C) 2007-2019 CEA/DEN, 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
%newobject MEDCoupling::DataArrayFloat::iterator;
%newobject MEDCoupling::DataArrayFloat::__iter__;
%newobject MEDCoupling::DataArrayFloat::Meld;
+%newobject MEDCoupling::DataArrayFloat::__rmul__;
%newobject MEDCoupling::DataArrayInt::New;
%newobject MEDCoupling::DataArrayInt::__iter__;
%newobject MEDCoupling::DataArrayInt::performCopyOrIncrRef;
%newobject MEDCoupling::DataArrayInt::findIdsEqualList;
%newobject MEDCoupling::DataArrayInt::findIdsNotEqualList;
%newobject MEDCoupling::DataArrayInt::findIdsEqualTuple;
+%newobject MEDCoupling::DataArrayInt::findIdForEach;
%newobject MEDCoupling::DataArrayInt::sumPerTuple;
%newobject MEDCoupling::DataArrayInt::negate;
%newobject MEDCoupling::DataArrayInt::computeAbs;
int nbOfComp(self->getNumberOfComponents()),nbOfTuples(self->getNumberOfTuples());
return convertDblArrToPyListOfTuple<float>(vals,nbOfComp,nbOfTuples);
}
+
+ PyObject *isEqualIfNotWhy(const DataArrayFloat& other, float prec) const throw(INTERP_KERNEL::Exception)
+ {
+ std::string ret1;
+ bool ret0=self->isEqualIfNotWhy(other,prec,ret1);
+ PyObject *ret=PyTuple_New(2);
+ PyObject *ret0Py=ret0?Py_True:Py_False;
+ Py_XINCREF(ret0Py);
+ PyTuple_SetItem(ret,0,ret0Py);
+ PyTuple_SetItem(ret,1,PyString_FromString(ret1.c_str()));
+ return ret;
+ }
PyObject *__getitem__(PyObject *obj) throw(INTERP_KERNEL::Exception)
{
return DataArrayT_imul<float>(trueSelf,obj,self);
}
+ DataArrayFloat *__rmul__(PyObject *obj) throw(INTERP_KERNEL::Exception)
+ {
+ return DataArrayFPT_rmul<float>(self,obj);
+ }
+
PyObject *___idiv___(PyObject *trueSelf, PyObject *obj) throw(INTERP_KERNEL::Exception)
{
return DataArrayT_idiv<float>(trueSelf,obj,self);
return ToNumPyArray<DataArrayFloat,float>(self,NPY_FLOAT,"DataArrayFloat");
}
#endif
-
- // serialization
- static PyObject *___new___(PyObject *cls, PyObject *args) throw(INTERP_KERNEL::Exception)
- {
- return NewMethWrapCallInitOnlyIfDictWithSingleEltInInput(cls,args,"DataArrayFloat");
- }
-
- PyObject *__getnewargs__() throw(INTERP_KERNEL::Exception)
- {
-#ifdef WITH_NUMPY
- if(!self->isAllocated())
- throw INTERP_KERNEL::Exception("PyWrap of DataArrayFloat.__getnewargs__ : self is not allocated !");
- PyObject *ret(PyTuple_New(1));
- PyObject *ret0(PyDict_New());
- PyObject *numpyArryObj(MEDCoupling_DataArrayFloat_toNumPyArray(self));
- {// create a dict to discriminite in __new__ if __init__ should be called. Not beautiful but not idea ...
- PyObject *tmp1(PyInt_FromLong(0));
- PyDict_SetItem(ret0,tmp1,numpyArryObj); Py_DECREF(tmp1); Py_DECREF(numpyArryObj);
- PyTuple_SetItem(ret,0,ret0);
- }
- return ret;
-#else
- throw INTERP_KERNEL::Exception("PyWrap of DataArrayByte.__getnewargs__ : not implemented because numpy is not active in your configuration ! No serialization/unserialization available without numpy !");
-#endif
- }
}
};
void checkNoNullValues() const throw(INTERP_KERNEL::Exception);
DataArrayDouble *computeBBoxPerTuple(double epsilon=0.0) const throw(INTERP_KERNEL::Exception);
void recenterForMaxPrecision(double eps) throw(INTERP_KERNEL::Exception);
- double getMaxValue(int& tupleId) const throw(INTERP_KERNEL::Exception);
double getMaxValueInArray() const throw(INTERP_KERNEL::Exception);
- double getMinValue(int& tupleId) const throw(INTERP_KERNEL::Exception);
+ double getMaxAbsValueInArray() const throw(INTERP_KERNEL::Exception);
double getMinValueInArray() const throw(INTERP_KERNEL::Exception);
int count(double value, double eps) const throw(INTERP_KERNEL::Exception);
double getAverageValue() const throw(INTERP_KERNEL::Exception);
}
}
+ PyObject *asArcOfCircle() const throw(INTERP_KERNEL::Exception)
+ {
+ double center[2],radius,ang;
+ self->asArcOfCircle(center,radius,ang);
+ PyObject *ret(PyTuple_New(3));
+ {
+ PyObject *ret0(PyList_New(2));
+ PyList_SetItem(ret0,0,PyFloat_FromDouble(center[0]));
+ PyList_SetItem(ret0,1,PyFloat_FromDouble(center[1]));
+ PyTuple_SetItem(ret,0,ret0);
+ }
+ PyTuple_SetItem(ret,1,PyFloat_FromDouble(radius));
+ PyTuple_SetItem(ret,2,PyFloat_FromDouble(ang));
+ return ret;
+ }
+
DataArrayDoubleIterator *__iter__() throw(INTERP_KERNEL::Exception)
{
return self->iterator();
return convertDblArrToPyListOfTuple<double>(vals,nbOfComp,nbOfTuples);
}
+ static PyObject *ComputeIntegralOfSeg2IntoTri3(PyObject *seg2, PyObject *tri3) throw(INTERP_KERNEL::Exception)
+ {
+ const char msg[]="Python wrap of DataArrayDouble::ComputeIntegralOfSeg2IntoTri3 : ";
+ double val,val2;
+ DataArrayDouble *a,*a2;
+ DataArrayDoubleTuple *aa,*aa2;
+ std::vector<double> bb,bb2;
+ int sw;
+ const double *seg2Ptr(convertObjToPossibleCpp5_Safe(seg2,sw,val,a,aa,bb,msg,2,2,true));
+ const double *tri3Ptr(convertObjToPossibleCpp5_Safe(tri3,sw,val2,a2,aa2,bb2,msg,3,2,true));
+ //
+ double res0[3],res1;
+ DataArrayDouble::ComputeIntegralOfSeg2IntoTri3(seg2Ptr,tri3Ptr,res0,res1);
+ PyObject *ret(PyTuple_New(2)),*ret0(PyTuple_New(3));
+ PyTuple_SetItem(ret0,0,PyFloat_FromDouble(res0[0]));
+ PyTuple_SetItem(ret0,1,PyFloat_FromDouble(res0[1]));
+ PyTuple_SetItem(ret0,2,PyFloat_FromDouble(res0[2]));
+ PyTuple_SetItem(ret,0,ret0);
+ PyTuple_SetItem(ret,1,PyFloat_FromDouble(res1));
+ return ret;
+ }
+
DataArrayDouble *symmetry3DPlane(PyObject *point, PyObject *normalVector) throw(INTERP_KERNEL::Exception)
{
const char msg[]="Python wrap of DataArrayDouble::symmetry3DPlane : ";
return ret;
}
+ PyObject *getMaxAbsValue() const throw(INTERP_KERNEL::Exception)
+ {
+ std::size_t tmp;
+ double r1=self->getMaxAbsValue(tmp);
+ PyObject *ret=PyTuple_New(2);
+ PyTuple_SetItem(ret,0,PyFloat_FromDouble(r1));
+ PyTuple_SetItem(ret,1,PyInt_FromLong(tmp));
+ return ret;
+ }
+
PyObject *getMaxValue2() const throw(INTERP_KERNEL::Exception)
{
DataArrayInt *tmp;
PyObject *ret=convertDblArrToPyListOfTuple<double>(tmp,2,nbOfCompo);
return ret;
}
+
+ PyObject *normMaxPerComponent() const throw(INTERP_KERNEL::Exception)
+ {
+ int nbOfCompo(self->getNumberOfComponents());
+ INTERP_KERNEL::AutoPtr<double> tmp(new double[nbOfCompo]);
+ self->normMaxPerComponent(tmp);
+ return convertDblArrToPyList<double>(tmp,nbOfCompo);
+ }
PyObject *accumulate() const throw(INTERP_KERNEL::Exception)
{
int nbComp=self->getNumberOfComponents(),nbTuples=-1;
const char msg[]="Python wrap of DataArrayDouble::computeTupleIdsNearTuples : ";
const double *pos=convertObjToPossibleCpp5_Safe2(pt,sw,val,a,aa,bb,msg,nbComp,true,nbTuples);
- MCAuto<DataArrayDouble> inpu=DataArrayDouble::New(); inpu->useArray(pos,false,CPP_DEALLOC,nbTuples,nbComp);
+ MCAuto<DataArrayDouble> inpu=DataArrayDouble::New(); inpu->useArray(pos,false,DeallocType::CPP_DEALLOC,nbTuples,nbComp);
DataArrayInt *c=0,*cI=0;
self->computeTupleIdsNearTuples(inpu,eps,c,cI);
PyObject *ret=PyTuple_New(2);
}
case 4:
{
- MCAuto<DataArrayDouble> aaa=DataArrayDouble::New(); aaa->useArray(&bb[0],false,CPP_DEALLOC,1,(int)bb.size());
+ MCAuto<DataArrayDouble> aaa=DataArrayDouble::New(); aaa->useArray(&bb[0],false,DeallocType::CPP_DEALLOC,1,(int)bb.size());
return SWIG_NewPointerObj(SWIG_as_voidptr(DataArrayDouble::Add(self,aaa)),SWIGTYPE_p_MEDCoupling__DataArrayDouble, SWIG_POINTER_OWN | 0 );
}
default:
}
case 4:
{
- MCAuto<DataArrayDouble> aaa=DataArrayDouble::New(); aaa->useArray(&bb[0],false,CPP_DEALLOC,1,(int)bb.size());
+ MCAuto<DataArrayDouble> aaa=DataArrayDouble::New(); aaa->useArray(&bb[0],false,DeallocType::CPP_DEALLOC,1,(int)bb.size());
return DataArrayDouble::Add(self,aaa);
}
default:
}
case 4:
{
- MCAuto<DataArrayDouble> aaa=DataArrayDouble::New(); aaa->useArray(&bb[0],false,CPP_DEALLOC,1,(int)bb.size());
+ MCAuto<DataArrayDouble> aaa=DataArrayDouble::New(); aaa->useArray(&bb[0],false,DeallocType::CPP_DEALLOC,1,(int)bb.size());
return SWIG_NewPointerObj(SWIG_as_voidptr(DataArrayDouble::Substract(self,aaa)),SWIGTYPE_p_MEDCoupling__DataArrayDouble, SWIG_POINTER_OWN | 0 );
}
default:
}
case 4:
{
- MCAuto<DataArrayDouble> aaa=DataArrayDouble::New(); aaa->useArray(&bb[0],false,CPP_DEALLOC,1,(int)bb.size());
+ MCAuto<DataArrayDouble> aaa=DataArrayDouble::New(); aaa->useArray(&bb[0],false,DeallocType::CPP_DEALLOC,1,(int)bb.size());
return DataArrayDouble::Substract(aaa,self);
}
default:
}
case 4:
{
- MCAuto<DataArrayDouble> aaa=DataArrayDouble::New(); aaa->useArray(&bb[0],false,CPP_DEALLOC,1,(int)bb.size());
+ MCAuto<DataArrayDouble> aaa=DataArrayDouble::New(); aaa->useArray(&bb[0],false,DeallocType::CPP_DEALLOC,1,(int)bb.size());
return SWIG_NewPointerObj(SWIG_as_voidptr(DataArrayDouble::Multiply(self,aaa)),SWIGTYPE_p_MEDCoupling__DataArrayDouble, SWIG_POINTER_OWN | 0 );
}
default:
DataArrayDouble *__rmul__(PyObject *obj) throw(INTERP_KERNEL::Exception)
{
- const char msg[]="Unexpected situation in __rmul__ !";
- double val;
- DataArrayDouble *a;
- DataArrayDoubleTuple *aa;
- std::vector<double> bb;
- int sw;
- convertDoubleStarLikePyObjToCpp_2(obj,sw,val,a,aa,bb);
- switch(sw)
- {
- case 1:
- {
- MCAuto<DataArrayDouble> ret=self->deepCopy();
- ret->applyLin(val,0.);
- return ret.retn();
- }
- case 3:
- {
- MCAuto<DataArrayDouble> aaa=aa->buildDADouble(1,self->getNumberOfComponents());
- return DataArrayDouble::Multiply(self,aaa);
- }
- case 4:
- {
- MCAuto<DataArrayDouble> aaa=DataArrayDouble::New(); aaa->useArray(&bb[0],false,CPP_DEALLOC,1,(int)bb.size());
- return DataArrayDouble::Multiply(self,aaa);
- }
- default:
- throw INTERP_KERNEL::Exception(msg);
- }
+ return DataArrayFPT_rmul<double>(self,obj);
}
PyObject *___imul___(PyObject *trueSelf, PyObject *obj) throw(INTERP_KERNEL::Exception)
}
case 4:
{
- MCAuto<DataArrayDouble> aaa=DataArrayDouble::New(); aaa->useArray(&bb[0],false,CPP_DEALLOC,1,(int)bb.size());
+ MCAuto<DataArrayDouble> aaa=DataArrayDouble::New(); aaa->useArray(&bb[0],false,DeallocType::CPP_DEALLOC,1,(int)bb.size());
return SWIG_NewPointerObj(SWIG_as_voidptr(DataArrayDouble::Divide(self,aaa)),SWIGTYPE_p_MEDCoupling__DataArrayDouble, SWIG_POINTER_OWN | 0 );
}
default:
}
case 4:
{
- MCAuto<DataArrayDouble> aaa=DataArrayDouble::New(); aaa->useArray(&bb[0],false,CPP_DEALLOC,1,(int)bb.size());
+ MCAuto<DataArrayDouble> aaa=DataArrayDouble::New(); aaa->useArray(&bb[0],false,DeallocType::CPP_DEALLOC,1,(int)bb.size());
return DataArrayDouble::Divide(aaa,self);
}
default:
}
case 4:
{
- MCAuto<DataArrayDouble> aaa=DataArrayDouble::New(); aaa->useArray(&bb[0],false,CPP_DEALLOC,1,(int)bb.size());
+ MCAuto<DataArrayDouble> aaa=DataArrayDouble::New(); aaa->useArray(&bb[0],false,DeallocType::CPP_DEALLOC,1,(int)bb.size());
return DataArrayDouble::Pow(self,aaa);
}
default:
}
case 4:
{
- MCAuto<DataArrayDouble> aaa=DataArrayDouble::New(); aaa->useArray(&bb[0],false,CPP_DEALLOC,1,(int)bb.size());
+ MCAuto<DataArrayDouble> aaa=DataArrayDouble::New(); aaa->useArray(&bb[0],false,DeallocType::CPP_DEALLOC,1,(int)bb.size());
return DataArrayDouble::Pow(aaa,self);
}
default:
}
case 4:
{
- MCAuto<DataArrayDouble> aaa=DataArrayDouble::New(); aaa->useArray(&bb[0],false,CPP_DEALLOC,1,(int)bb.size());
+ MCAuto<DataArrayDouble> aaa=DataArrayDouble::New(); aaa->useArray(&bb[0],false,DeallocType::CPP_DEALLOC,1,(int)bb.size());
self->powEqual(aaa);
Py_XINCREF(trueSelf);
return trueSelf;
PyTuple_SetItem(ret,1,SWIG_NewPointerObj(SWIG_as_voidptr(ret1),SWIGTYPE_p_MEDCoupling__DataArrayInt, SWIG_POINTER_OWN | 0 ));
return ret;
}
-
- // serialization
- static PyObject *___new___(PyObject *cls, PyObject *args) throw(INTERP_KERNEL::Exception)
- {
- return NewMethWrapCallInitOnlyIfDictWithSingleEltInInput(cls,args,"DataArrayDouble");
- }
-
- PyObject *__getnewargs__() throw(INTERP_KERNEL::Exception)
- {
-#ifdef WITH_NUMPY
- if(!self->isAllocated())
- throw INTERP_KERNEL::Exception("PyWrap of DataArrayDouble.__getnewargs__ : self is not allocated !");
- PyObject *ret(PyTuple_New(1));
- PyObject *ret0(PyDict_New());
- PyObject *numpyArryObj(MEDCoupling_DataArrayDouble_toNumPyArray(self));
- {// create a dict to discriminite in __new__ if __init__ should be called. Not beautiful but not idea ...
- PyObject *tmp1(PyInt_FromLong(0));
- PyDict_SetItem(ret0,tmp1,numpyArryObj); Py_DECREF(tmp1); Py_DECREF(numpyArryObj);
- PyTuple_SetItem(ret,0,ret0);
- }
- return ret;
-#else
- throw INTERP_KERNEL::Exception("PyWrap of DataArrayDouble.__getnewargs__ : not implemented because numpy is not active in your configuration ! No serialization/unserialization available without numpy !");
-#endif
- }
}
};
DataArrayInt *invertArrayN2O2O2N(int oldNbOfElem) const throw(INTERP_KERNEL::Exception);
DataArrayInt *invertArrayO2N2N2OBis(int newNbOfElem) const throw(INTERP_KERNEL::Exception);
MCAuto< MapII > invertArrayN2O2O2NOptimized() const throw(INTERP_KERNEL::Exception);
+ MCAuto< MapII > giveN2OOptimized() const throw(INTERP_KERNEL::Exception);
DataArrayInt *indicesOfSubPart(const DataArrayInt& partOfThis) const throw(INTERP_KERNEL::Exception);
DataArrayInt *fromNoInterlace() const throw(INTERP_KERNEL::Exception);
DataArrayInt *toNoInterlace() const throw(INTERP_KERNEL::Exception);
bool presenceOfValue(const std::vector<int>& vals) const throw(INTERP_KERNEL::Exception);
int count(int value) const throw(INTERP_KERNEL::Exception);
int accumulate(int compId) const throw(INTERP_KERNEL::Exception);
- int getMaxValue(int& tupleId) const throw(INTERP_KERNEL::Exception);
int getMaxValueInArray() const throw(INTERP_KERNEL::Exception);
- int getMinValue(int& tupleId) const throw(INTERP_KERNEL::Exception);
+ int getMaxAbsValueInArray() const throw(INTERP_KERNEL::Exception);
int getMinValueInArray() const throw(INTERP_KERNEL::Exception);
void abs() throw(INTERP_KERNEL::Exception);
DataArrayInt *computeAbs() const throw(INTERP_KERNEL::Exception);
return self->findIdsEqualTuple(bg,bg+sz);
}
+ DataArrayInt *findIdForEach(PyObject *vals) const throw(INTERP_KERNEL::Exception)
+ {
+ int sw,sz,val;
+ std::vector<int> val2;
+ const int *bg(convertIntStarLikePyObjToCppIntStar(vals,sw,sz,val,val2));
+ MCAuto<DataArrayInt> ret(self->findIdForEach(bg,bg+sz));
+ return ret.retn();
+ }
+
PyObject *splitInBalancedSlices(int nbOfSlices) const throw(INTERP_KERNEL::Exception)
{
std::vector< std::pair<int,int> > slcs(self->splitInBalancedSlices(nbOfSlices));
std::vector<int> stdvecTyyppArr;
const int *arrPtr(convertIntStarLikePyObjToCppIntStar(arr,sw,szArr,iTypppArr,stdvecTyyppArr));
int *pt(MEDCoupling::DataArrayInt::CheckAndPreparePermutation(arrPtr,arrPtr+szArr));
- ret->useArray(pt,true,MEDCoupling::C_DEALLOC,szArr,1);
+ ret->useArray(pt,true,MEDCoupling::DeallocType::C_DEALLOC,szArr,1);
return ret.retn();
}
PyTuple_SetItem(ret,1,PyInt_FromLong(tmp));
return ret;
}
+
+ PyObject *getMaxAbsValue(std::size_t& tupleId) const throw(INTERP_KERNEL::Exception)
+ {
+ std::size_t tmp;
+ int r1=self->getMaxAbsValue(tmp);
+ PyObject *ret=PyTuple_New(2);
+ PyTuple_SetItem(ret,0,PyInt_FromLong(r1));
+ PyTuple_SetItem(ret,1,PyInt_FromLong(tmp));
+ return ret;
+ }
PyObject *getMinValue() const throw(INTERP_KERNEL::Exception)
{
return self;
case 2:
tmp=DataArrayInt::New();
- tmp->useArray(&v1[0],false,CPP_DEALLOC,1,v1.size());
+ tmp->useArray(&v1[0],false,DeallocType::CPP_DEALLOC,1,v1.size());
self->setPartOfValues1(tmp,it1,it1+1,1,0,nbOfComponents,1,false);
return self;
case 3:
return self;
case 2:
tmp=DataArrayInt::New();
- tmp->useArray(&v1[0],false,CPP_DEALLOC,1,v1.size());
+ tmp->useArray(&v1[0],false,DeallocType::CPP_DEALLOC,1,v1.size());
self->setPartOfValues3(tmp,&vt1[0],&vt1[0]+vt1.size(),0,nbOfComponents,1,false);
return self;
case 3:
return self;
case 2:
tmp=DataArrayInt::New();
- tmp->useArray(&v1[0],false,CPP_DEALLOC,1,v1.size());
+ tmp->useArray(&v1[0],false,DeallocType::CPP_DEALLOC,1,v1.size());
self->setPartOfValues1(tmp,pt1.first,pt1.second.first,pt1.second.second,0,nbOfComponents,1,false);
return self;
case 3:
return self;
case 2:
tmp=DataArrayInt::New();
- tmp->useArray(&v1[0],false,CPP_DEALLOC,1,v1.size());
+ tmp->useArray(&v1[0],false,DeallocType::CPP_DEALLOC,1,v1.size());
self->setPartOfValues3(tmp,dt1->getConstPointer(),dt1->getConstPointer()+dt1->getNbOfElems(),0,nbOfComponents,1,false);
return self;
case 3:
return self;
case 2:
tmp=DataArrayInt::New();
- tmp->useArray(&v1[0],false,CPP_DEALLOC,1,v1.size());
+ tmp->useArray(&v1[0],false,DeallocType::CPP_DEALLOC,1,v1.size());
self->setPartOfValues1(tmp,it1,it1+1,1,ic1,ic1+1,1,false);
return self;
case 3:
return self;
case 2:
tmp=DataArrayInt::New();
- tmp->useArray(&v1[0],false,CPP_DEALLOC,1,v1.size());
+ tmp->useArray(&v1[0],false,DeallocType::CPP_DEALLOC,1,v1.size());
self->setPartOfValues3(tmp,&vt1[0],&vt1[0]+vt1.size(),ic1,ic1+1,1,false);
return self;
case 3:
return self;
case 2:
tmp=DataArrayInt::New();
- tmp->useArray(&v1[0],false,CPP_DEALLOC,1,v1.size());
+ tmp->useArray(&v1[0],false,DeallocType::CPP_DEALLOC,1,v1.size());
self->setPartOfValues1(tmp,pt1.first,pt1.second.first,pt1.second.second,ic1,ic1+1,1,false);
return self;
case 3:
return self;
case 2:
tmp=DataArrayInt::New();
- tmp->useArray(&v1[0],false,CPP_DEALLOC,1,v1.size());
+ tmp->useArray(&v1[0],false,DeallocType::CPP_DEALLOC,1,v1.size());
self->setPartOfValues3(tmp,dt1->getConstPointer(),dt1->getConstPointer()+dt1->getNbOfElems(),ic1,ic1+1,1,false);
return self;
case 3:
return self;
case 2:
tmp=DataArrayInt::New();
- tmp->useArray(&v1[0],false,CPP_DEALLOC,1,v1.size());
+ tmp->useArray(&v1[0],false,DeallocType::CPP_DEALLOC,1,v1.size());
self->setPartOfValues2(tmp,&it1,&it1+1,&vc1[0],&vc1[0]+vc1.size(),false);
return self;
case 3:
return self;
case 2:
tmp=DataArrayInt::New();
- tmp->useArray(&v1[0],false,CPP_DEALLOC,1,v1.size());
+ tmp->useArray(&v1[0],false,DeallocType::CPP_DEALLOC,1,v1.size());
self->setPartOfValues2(tmp,&vt1[0],&vt1[0]+vt1.size(),&vc1[0],&vc1[0]+vc1.size(),false);
return self;
case 3:
return self;
case 2:
tmp=DataArrayInt::New();
- tmp->useArray(&v1[0],false,CPP_DEALLOC,1,v1.size());
+ tmp->useArray(&v1[0],false,DeallocType::CPP_DEALLOC,1,v1.size());
self->setPartOfValues4(tmp,pt1.first,pt1.second.first,pt1.second.second,&vc1[0],&vc1[0]+vc1.size(),false);
return self;
case 3:
return self;
case 2:
tmp=DataArrayInt::New();
- tmp->useArray(&v1[0],false,CPP_DEALLOC,1,v1.size());
+ tmp->useArray(&v1[0],false,DeallocType::CPP_DEALLOC,1,v1.size());
self->setPartOfValues2(tmp,dt1->getConstPointer(),dt1->getConstPointer()+dt1->getNbOfElems(),&vc1[0],&vc1[0]+vc1.size(),false);
return self;
case 3:
return self;
case 2:
tmp=DataArrayInt::New();
- tmp->useArray(&v1[0],false,CPP_DEALLOC,1,v1.size());
+ tmp->useArray(&v1[0],false,DeallocType::CPP_DEALLOC,1,v1.size());
self->setPartOfValues1(tmp,it1,it1+1,1,pc1.first,pc1.second.first,pc1.second.second,false);
return self;
case 3:
return self;
case 2:
tmp=DataArrayInt::New();
- tmp->useArray(&v1[0],false,CPP_DEALLOC,1,v1.size());
+ tmp->useArray(&v1[0],false,DeallocType::CPP_DEALLOC,1,v1.size());
self->setPartOfValues3(tmp,&vt1[0],&vt1[0]+vt1.size(),pc1.first,pc1.second.first,pc1.second.second,false);
return self;
case 3:
return self;
case 2:
tmp=DataArrayInt::New();
- tmp->useArray(&v1[0],false,CPP_DEALLOC,1,v1.size());
+ tmp->useArray(&v1[0],false,DeallocType::CPP_DEALLOC,1,v1.size());
self->setPartOfValues1(tmp,pt1.first,pt1.second.first,pt1.second.second,pc1.first,pc1.second.first,pc1.second.second,false);
return self;
case 3:
return self;
case 2:
tmp=DataArrayInt::New();
- tmp->useArray(&v1[0],false,CPP_DEALLOC,1,v1.size());
+ tmp->useArray(&v1[0],false,DeallocType::CPP_DEALLOC,1,v1.size());
self->setPartOfValues3(tmp,dt1->getConstPointer(),dt1->getConstPointer()+dt1->getNbOfElems(),pc1.first,pc1.second.first,pc1.second.second,false);
return self;
case 3:
}
case 2:
{
- MCAuto<DataArrayInt> aaaa=DataArrayInt::New(); aaaa->useArray(&aa[0],false,CPP_DEALLOC,1,(int)aa.size());
+ MCAuto<DataArrayInt> aaaa=DataArrayInt::New(); aaaa->useArray(&aa[0],false,DeallocType::CPP_DEALLOC,1,(int)aa.size());
return DataArrayInt::Add(self,aaaa);
}
case 3:
}
case 2:
{
- MCAuto<DataArrayInt> aaaa=DataArrayInt::New(); aaaa->useArray(&aa[0],false,CPP_DEALLOC,1,(int)aa.size());
+ MCAuto<DataArrayInt> aaaa=DataArrayInt::New(); aaaa->useArray(&aa[0],false,DeallocType::CPP_DEALLOC,1,(int)aa.size());
return DataArrayInt::Add(self,aaaa);
}
case 4:
}
case 2:
{
- MCAuto<DataArrayInt> bb=DataArrayInt::New(); bb->useArray(&aa[0],false,CPP_DEALLOC,1,(int)aa.size());
+ MCAuto<DataArrayInt> bb=DataArrayInt::New(); bb->useArray(&aa[0],false,DeallocType::CPP_DEALLOC,1,(int)aa.size());
self->addEqual(bb);
Py_XINCREF(trueSelf);
return trueSelf;
}
case 2:
{
- MCAuto<DataArrayInt> aaaa=DataArrayInt::New(); aaaa->useArray(&aa[0],false,CPP_DEALLOC,1,(int)aa.size());
+ MCAuto<DataArrayInt> aaaa=DataArrayInt::New(); aaaa->useArray(&aa[0],false,DeallocType::CPP_DEALLOC,1,(int)aa.size());
return DataArrayInt::Substract(self,aaaa);
}
case 3:
}
case 2:
{
- MCAuto<DataArrayInt> aaaa=DataArrayInt::New(); aaaa->useArray(&aa[0],false,CPP_DEALLOC,1,(int)aa.size());
+ MCAuto<DataArrayInt> aaaa=DataArrayInt::New(); aaaa->useArray(&aa[0],false,DeallocType::CPP_DEALLOC,1,(int)aa.size());
return DataArrayInt::Substract(aaaa,self);
}
case 4:
}
case 2:
{
- MCAuto<DataArrayInt> bb=DataArrayInt::New(); bb->useArray(&aa[0],false,CPP_DEALLOC,1,(int)aa.size());
+ MCAuto<DataArrayInt> bb=DataArrayInt::New(); bb->useArray(&aa[0],false,DeallocType::CPP_DEALLOC,1,(int)aa.size());
self->substractEqual(bb);
Py_XINCREF(trueSelf);
return trueSelf;
}
case 2:
{
- MCAuto<DataArrayInt> aaaa=DataArrayInt::New(); aaaa->useArray(&aa[0],false,CPP_DEALLOC,1,(int)aa.size());
+ MCAuto<DataArrayInt> aaaa=DataArrayInt::New(); aaaa->useArray(&aa[0],false,DeallocType::CPP_DEALLOC,1,(int)aa.size());
return DataArrayInt::Multiply(self,aaaa);
}
case 3:
}
case 2:
{
- MCAuto<DataArrayInt> aaaa=DataArrayInt::New(); aaaa->useArray(&aa[0],false,CPP_DEALLOC,1,(int)aa.size());
+ MCAuto<DataArrayInt> aaaa=DataArrayInt::New(); aaaa->useArray(&aa[0],false,DeallocType::CPP_DEALLOC,1,(int)aa.size());
return DataArrayInt::Multiply(self,aaaa);
}
case 4:
}
case 2:
{
- MCAuto<DataArrayInt> bb=DataArrayInt::New(); bb->useArray(&aa[0],false,CPP_DEALLOC,1,(int)aa.size());
+ MCAuto<DataArrayInt> bb=DataArrayInt::New(); bb->useArray(&aa[0],false,DeallocType::CPP_DEALLOC,1,(int)aa.size());
self->multiplyEqual(bb);
Py_XINCREF(trueSelf);
return trueSelf;
}
case 2:
{
- MCAuto<DataArrayInt> aaaa=DataArrayInt::New(); aaaa->useArray(&aa[0],false,CPP_DEALLOC,1,(int)aa.size());
+ MCAuto<DataArrayInt> aaaa=DataArrayInt::New(); aaaa->useArray(&aa[0],false,DeallocType::CPP_DEALLOC,1,(int)aa.size());
return DataArrayInt::Divide(self,aaaa);
}
case 3:
}
case 2:
{
- MCAuto<DataArrayInt> aaaa=DataArrayInt::New(); aaaa->useArray(&aa[0],false,CPP_DEALLOC,1,(int)aa.size());
+ MCAuto<DataArrayInt> aaaa=DataArrayInt::New(); aaaa->useArray(&aa[0],false,DeallocType::CPP_DEALLOC,1,(int)aa.size());
return DataArrayInt::Divide(aaaa,self);
}
case 4:
}
case 2:
{
- MCAuto<DataArrayInt> bb=DataArrayInt::New(); bb->useArray(&aa[0],false,CPP_DEALLOC,1,(int)aa.size());
+ MCAuto<DataArrayInt> bb=DataArrayInt::New(); bb->useArray(&aa[0],false,DeallocType::CPP_DEALLOC,1,(int)aa.size());
self->divideEqual(bb);
Py_XINCREF(trueSelf);
return trueSelf;
}
case 2:
{
- MCAuto<DataArrayInt> aaaa=DataArrayInt::New(); aaaa->useArray(&aa[0],false,CPP_DEALLOC,1,(int)aa.size());
+ MCAuto<DataArrayInt> aaaa=DataArrayInt::New(); aaaa->useArray(&aa[0],false,DeallocType::CPP_DEALLOC,1,(int)aa.size());
return DataArrayInt::Modulus(self,aaaa);
}
case 3:
}
case 2:
{
- MCAuto<DataArrayInt> aaaa=DataArrayInt::New(); aaaa->useArray(&aa[0],false,CPP_DEALLOC,1,(int)aa.size());
+ MCAuto<DataArrayInt> aaaa=DataArrayInt::New(); aaaa->useArray(&aa[0],false,DeallocType::CPP_DEALLOC,1,(int)aa.size());
return DataArrayInt::Modulus(aaaa,self);
}
case 3:
}
case 2:
{
- MCAuto<DataArrayInt> aaaa=DataArrayInt::New(); aaaa->useArray(&aa[0],false,CPP_DEALLOC,1,(int)aa.size());
+ MCAuto<DataArrayInt> aaaa=DataArrayInt::New(); aaaa->useArray(&aa[0],false,DeallocType::CPP_DEALLOC,1,(int)aa.size());
return DataArrayInt::Pow(self,aaaa);
}
case 3:
}
case 2:
{
- MCAuto<DataArrayInt> aaaa=DataArrayInt::New(); aaaa->useArray(&aa[0],false,CPP_DEALLOC,1,(int)aa.size());
+ MCAuto<DataArrayInt> aaaa=DataArrayInt::New(); aaaa->useArray(&aa[0],false,DeallocType::CPP_DEALLOC,1,(int)aa.size());
return DataArrayInt::Pow(aaaa,self);
}
case 3:
PyTuple_SetItem(pyRet,1,ret1Py);
return pyRet;
}
-
- // serialization
- static PyObject *___new___(PyObject *cls, PyObject *args) throw(INTERP_KERNEL::Exception)
- {
- return NewMethWrapCallInitOnlyIfDictWithSingleEltInInput(cls,args,"DataArrayInt");
- }
-
- PyObject *__getnewargs__() throw(INTERP_KERNEL::Exception)
- {
-#ifdef WITH_NUMPY
- if(!self->isAllocated())
- throw INTERP_KERNEL::Exception("PyWrap of DataArrayInt.__getnewargs__ : self is not allocated !");
- PyObject *ret(PyTuple_New(1));
- PyObject *ret0(PyDict_New());
- PyObject *numpyArryObj(MEDCoupling_DataArrayInt_toNumPyArray(self));
- {// create a dict to discriminite in __new__ if __init__ should be called. Not beautiful but not idea ...
- PyObject *tmp1(PyInt_FromLong(0));
- PyDict_SetItem(ret0,tmp1,numpyArryObj); Py_DECREF(tmp1); Py_DECREF(numpyArryObj);
- PyTuple_SetItem(ret,0,ret0);
- }
- return ret;
-#else
- throw INTERP_KERNEL::Exception("PyWrap of DataArrayInt.__getnewargs__ : not implemented because numpy is not active in your configuration ! No serialization/unserialization available without numpy !");
-#endif
- }
}
};
}
#endif
- // serialization
- static PyObject *___new___(PyObject *cls, PyObject *args) throw(INTERP_KERNEL::Exception)
- {
- return NewMethWrapCallInitOnlyIfDictWithSingleEltInInput(cls,args,"DataArrayByte");
- }
-
- PyObject *__getnewargs__() throw(INTERP_KERNEL::Exception)
- {
-#ifdef WITH_NUMPY
- if(!self->isAllocated())
- throw INTERP_KERNEL::Exception("PyWrap of DataArrayByte.__getnewargs__ : self is not allocated !");
- PyObject *ret(PyTuple_New(1));
- PyObject *ret0(PyDict_New());
- PyObject *numpyArryObj(MEDCoupling_DataArrayByte_toNumPyArray(self));
- {// create a dict to discriminite in __new__ if __init__ should be called. Not beautiful but not idea ...
- PyObject *tmp1(PyInt_FromLong(0));
- PyDict_SetItem(ret0,tmp1,numpyArryObj); Py_DECREF(tmp1); Py_DECREF(numpyArryObj);
- PyTuple_SetItem(ret,0,ret0);
- }
- return ret;
-#else
- throw INTERP_KERNEL::Exception("PyWrap of DataArrayByte.__getnewargs__ : not implemented because numpy is not active in your configuration ! No serialization/unserialization available without numpy !");
-#endif
- }
-
DataArrayByte *__setitem__(PyObject *obj, PyObject *value) throw(INTERP_KERNEL::Exception)
{
self->checkAllocated();
}
};
}
+
+%pythoncode %{
+def MEDCouplingStdReduceFunct(cls,params):
+ a,b=params
+ ret=object.__new__(cls)
+ ret.__init__(*a)
+ ret.__setstate__(b)
+ return ret
+
+def MEDCouplingDataArrayDoubleReduce(self):
+ if not MEDCouplingHasNumPyBindings():
+ raise InterpKernelException("PyWrap of DataArrayDouble.__reduce__ : not implemented because numpy is not active in your configuration ! No serialization/unserialization available without numpy !")
+ return MEDCouplingStdReduceFunct,(DataArrayDouble,((self.toNumPyArray(),),(self.__getstate__()),))
+
+def MEDCouplingDataArrayIntReduce(self):
+ if not MEDCouplingHasNumPyBindings():
+ raise InterpKernelException("PyWrap of DataArrayInt.__reduce__ : not implemented because numpy is not active in your configuration ! No serialization/unserialization available without numpy !")
+ return MEDCouplingStdReduceFunct,(DataArrayInt,((self.toNumPyArray(),),(self.__getstate__()),))
+
+def MEDCouplingDataArrayByteReduce(self):
+ if not MEDCouplingHasNumPyBindings():
+ raise InterpKernelException("PyWrap of DataArrayByte.__reduce__ : not implemented because numpy is not active in your configuration ! No serialization/unserialization available without numpy !")
+ return MEDCouplingStdReduceFunct,(DataArrayByte,((self.toNumPyArray(),),(self.__getstate__()),))
+
+def MEDCouplingDataArrayFloatReduce(self):
+ if not MEDCouplingHasNumPyBindings():
+ raise InterpKernelException("PyWrap of DataArrayFloat.__reduce__ : not implemented because numpy is not active in your configuration ! No serialization/unserialization available without numpy !")
+ return MEDCouplingStdReduceFunct,(DataArrayFloat,((self.toNumPyArray(),),(self.__getstate__()),))
+%}
