MEDCouplingDefinitionTime.cxx
MEDCouplingFieldOverTime.cxx
MEDCouplingCartesianAMRMesh.cxx
+ MEDCouplingMatrix.cxx
)
SET(medcouplingremapper_SOURCES
}
/*!
- * Apply a liner function to a given component of \a this field, so that
+ * Apply a linear function to a given component of \a this field, so that
* a component value <em>(x)</em> becomes \f$ a * x + b \f$.
* \param [in] a - the first coefficient of the function.
* \param [in] b - the second coefficient of the function.
_time_discr->applyLin(a,b,compoId);
}
+/*!
+ * Apply a linear function to all components of \a this field, so that
+ * values <em>(x)</em> becomes \f$ a * x + b \f$.
+ * \param [in] a - the first coefficient of the function.
+ * \param [in] b - the second coefficient of the function.
+ * \throw If the data array(s) is(are) not set.
+ */
+void MEDCouplingFieldDouble::applyLin(double a, double b)
+{
+ _time_discr->applyLin(a,b);
+}
+
/*!
* This method sets \a this to a uniform scalar field with one component.
* All tuples will have the same value 'value'.
MEDCOUPLING_EXPORT void getValueOn(const double *spaceLoc, double time, double *res) const;
MEDCOUPLING_EXPORT DataArrayDouble *getValueOnMulti(const double *spaceLoc, int nbOfPoints) const;
MEDCOUPLING_EXPORT void applyLin(double a, double b, int compoId);
+ MEDCOUPLING_EXPORT void applyLin(double a, double b);
MEDCOUPLING_EXPORT MEDCouplingFieldDouble &operator=(double value);
MEDCOUPLING_EXPORT void fillFromAnalytic(int nbOfComp, FunctionToEvaluate func);
MEDCOUPLING_EXPORT void fillFromAnalytic(int nbOfComp, const std::string& func);
--- /dev/null
+// Copyright (C) 2007-2014 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
+// License as published by the Free Software Foundation; either
+// version 2.1 of the License, or (at your option) any later version.
+//
+// This library is distributed in the hope that it will be useful,
+// but WITHOUT ANY WARRANTY; without even the implied warranty of
+// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
+// Lesser General Public License for more details.
+//
+// You should have received a copy of the GNU Lesser General Public
+// License along with this library; if not, write to the Free Software
+// Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
+//
+// See http://www.salome-platform.org/ or email : webmaster.salome@opencascade.com
+//
+// Author : Anthony Geay
+
+#include "MEDCouplingMatrix.hxx"
+
+#include "InterpKernelMatrixTools.hxx"
+
+using namespace ParaMEDMEM;
+
+DenseMatrix *DenseMatrix::New(int nbRows, int nbCols)
+{
+ return new DenseMatrix(nbRows,nbCols);
+}
+
+DenseMatrix *DenseMatrix::New(DataArrayDouble *array, int nbRows, int nbCols)
+{
+ return new DenseMatrix(array,nbRows,nbCols);
+}
+
+DenseMatrix *DenseMatrix::deepCpy() const
+{
+ MEDCouplingAutoRefCountObjectPtr<DataArrayDouble> arr(getData()->deepCpy());
+ MEDCouplingAutoRefCountObjectPtr<DenseMatrix> ret(DenseMatrix::New(arr,getNumberOfRows(),getNumberOfCols()));
+ return ret.retn();
+}
+
+DenseMatrix *DenseMatrix::shallowCpy() const
+{
+ MEDCouplingAutoRefCountObjectPtr<DenseMatrix> ret(DenseMatrix::New(const_cast<DataArrayDouble *>(getData()),getNumberOfRows(),getNumberOfCols()));
+ return ret.retn();
+}
+
+std::size_t DenseMatrix::getHeapMemorySizeWithoutChildren() const
+{
+ return sizeof(DenseMatrix);
+}
+
+std::vector<const BigMemoryObject *> DenseMatrix::getDirectChildren() const
+{
+ std::vector<const BigMemoryObject *> ret;
+ const DataArrayDouble *pt(_data);
+ if(pt)
+ ret.push_back(pt);
+ return ret;
+}
+
+void DenseMatrix::updateTime() const
+{
+ const DataArrayDouble *pt(_data);
+ if(pt)
+ updateTimeWith(*pt);
+}
+
+/*!
+ * This method scratch \a this to use a new input. The shape of \a this can be modified freely without any constraints.
+ *
+ * \param [in] array - The array containing data that is expected to be taken as new data.
+ * \param [in] nbRows - The new number of rows (>0 or -1). If -1, the current number of rows will be taken.
+ * \param [in] nbCols - The new number of columns (>0 or -1). If -1, the current number of cols will be taken.
+ *
+ * \sa reShape
+ */
+void DenseMatrix::reBuild(DataArrayDouble *array, int nbRows, int nbCols)
+{
+ int nbr(getNumberOfRowsExt(nbRows)),nbc(getNumberOfColsExt(nbCols));
+ CheckArraySizes(array,nbr,nbc);
+ DataArrayDouble *data(_data);
+ if(data!=array)
+ {
+ _data=array; _data->incrRef();
+ declareAsNew();
+ }
+ if(nbr!=_nb_rows)
+ {
+ _nb_rows=nbr;
+ declareAsNew();
+ }
+ if(nbc!=_nb_cols)
+ {
+ _nb_cols=nbc;
+ declareAsNew();
+ }
+}
+
+/*!
+ * This method does \b not change the content of the data in \a this. It only changes the shape (with a same number of elements in the matrix).
+ * If the number of elements needs to be changed call reBuild method instead.
+ *
+ * \param [in] nbRows - The new number of rows (>0)
+ * \param [in] nbCols - The new number of columns (>0)
+ * \throw if the \c nbRows*nbCols is not equal to \c this->getNbOfElems()
+ * \sa reBuild
+ */
+void DenseMatrix::reShape(int nbRows, int nbCols)
+{
+ if(nbRows<0 || nbCols<0)
+ throw INTERP_KERNEL::Exception("DenseMatrix::reShape : number of rows and number of cols must be > 0 both !");
+ if(nbRows*nbCols!=getNbOfElems())
+ throw INTERP_KERNEL::Exception("DenseMatrix::reShape : This method is designed to change only the shape ! Number of elements must remain the same !");
+ if(_nb_rows!=nbRows)
+ {
+ _nb_rows=nbRows;
+ declareAsNew();
+ }
+ if(_nb_cols!=nbCols)
+ {
+ _nb_cols=nbCols;
+ declareAsNew();
+ }
+}
+
+void DenseMatrix::transpose()
+{
+ const MemArray<double>& mem(getData()->accessToMemArray());
+ double *pt(mem.toNoInterlace(getNumberOfCols()));
+ std::copy(pt,pt+getNbOfElems(),getData()->getPointer());//declareAsNew done here automatically by getPointer
+ free(pt);
+ std::swap(_nb_rows,_nb_cols);
+ updateTime();
+}
+
+bool DenseMatrix::isEqual(const DenseMatrix& other, double eps) const
+{
+ std::string tmp;
+ return isEqualIfNotWhy(other,eps,tmp);
+}
+
+bool DenseMatrix::isEqualIfNotWhy(const DenseMatrix& other, double eps, std::string& reason) const
+{
+ if(_nb_rows!=other._nb_rows)
+ {
+ std::ostringstream oss; oss << "Number of rows differs (" << _nb_rows << "!=" << other._nb_rows << ") !";
+ reason+=oss.str();
+ return false;
+ }
+ if(_nb_cols!=other._nb_cols)
+ {
+ std::ostringstream oss; oss << "Number of cols differs (" << _nb_cols << "!=" << other._nb_cols << ") !";
+ reason+=oss.str();
+ return false;
+ }
+ std::string tmp1;
+ if(!_data->isEqualIfNotWhy(*other._data,eps,tmp1))
+ {
+ reason+="Data differs : "+tmp1;
+ return false;
+ }
+ return true;
+}
+
+DataArrayDouble *DenseMatrix::matVecMult(const DataArrayDouble *vec) const
+{
+ return MatVecMult(this,vec);
+}
+
+DataArrayDouble *DenseMatrix::MatVecMult(const DenseMatrix *mat, const DataArrayDouble *vec)
+{
+ if(!mat || !vec)
+ throw INTERP_KERNEL::Exception("DenseMatrix::MatVecMult : input matrix or vec is NULL !");
+ vec->checkAllocated();
+ if(vec->getNumberOfComponents()!=1)
+ throw INTERP_KERNEL::Exception("DenseMatrix::MatVecMult : input vector must have only one component !");
+ if(vec->getNumberOfTuples()!=mat->getNumberOfCols())
+ throw INTERP_KERNEL::Exception("DenseMatrix::MatVecMult : Number of columns of this must be equal to number of tuples of vec !");
+ MEDCouplingAutoRefCountObjectPtr<DataArrayDouble> ret(DataArrayDouble::New()); ret->alloc(mat->getNumberOfRows(),1);
+ INTERP_KERNEL::matrixProduct(mat->getData()->begin(),mat->getNumberOfRows(),mat->getNumberOfCols(),vec->begin(),vec->getNumberOfTuples(),1,ret->getPointer());
+ return ret.retn();
+}
+
+DenseMatrix *DenseMatrix::Add(const DenseMatrix *a1, const DenseMatrix *a2)
+{
+ if(!a1 || !a2)
+ throw INTERP_KERNEL::Exception("DenseMatrix::Add : input matrices must be not NULL !");
+ CheckSameSize(a1,a2);
+ MEDCouplingAutoRefCountObjectPtr<DataArrayDouble> data(DataArrayDouble::Add(a1->getData(),a2->getData()));
+ MEDCouplingAutoRefCountObjectPtr<DenseMatrix> ret(DenseMatrix::New(data,a1->getNumberOfRows(),a1->getNumberOfCols()));
+ return ret.retn();
+}
+
+void DenseMatrix::addEqual(const DenseMatrix *other)
+{
+ if(!other)
+ throw INTERP_KERNEL::Exception("DenseMatrix::addEqual : other must be not NULL !");
+ CheckSameSize(this,other);
+ getData()->addEqual(other->getData());
+}
+
+DenseMatrix *DenseMatrix::Substract(const DenseMatrix *a1, const DenseMatrix *a2)
+{
+ if(!a1 || !a2)
+ throw INTERP_KERNEL::Exception("DenseMatrix::Substract : input matrices must be not NULL !");
+ CheckSameSize(a1,a2);
+ MEDCouplingAutoRefCountObjectPtr<DataArrayDouble> data(DataArrayDouble::Substract(a1->getData(),a2->getData()));
+ MEDCouplingAutoRefCountObjectPtr<DenseMatrix> ret(DenseMatrix::New(data,a1->getNumberOfRows(),a1->getNumberOfCols()));
+ return ret.retn();
+}
+
+void DenseMatrix::substractEqual(const DenseMatrix *other)
+{
+ if(!other)
+ throw INTERP_KERNEL::Exception("DenseMatrix::substractEqual : other must be not NULL !");
+ CheckSameSize(this,other);
+ getData()->substractEqual(other->getData());
+}
+
+DenseMatrix *DenseMatrix::Multiply(const DenseMatrix *a1, const DenseMatrix *a2)
+{
+ if(!a1 || !a2)
+ throw INTERP_KERNEL::Exception("DenseMatrix::Multiply : input matrices must be not NULL !");
+ CheckCompatibleSizeForMul(a1,a2);
+ int nbr(a1->getNumberOfRows()),nbc(a2->getNumberOfCols());
+ MEDCouplingAutoRefCountObjectPtr<DataArrayDouble> data(DataArrayDouble::New()); data->alloc(nbr*nbc,1);
+ MEDCouplingAutoRefCountObjectPtr<DenseMatrix> ret(DenseMatrix::New(data,a1->getNumberOfRows(),a2->getNumberOfCols()));
+ INTERP_KERNEL::matrixProduct(a1->getData()->begin(),a1->getNumberOfRows(),a1->getNumberOfCols(),a2->getData()->begin(),a2->getNumberOfRows(),a2->getNumberOfCols(),data->getPointer());
+ return ret.retn();
+}
+
+DenseMatrix *DenseMatrix::Multiply(const DenseMatrix *a1, const DataArrayDouble *a2)
+{
+ if(!a1 || !a2 || !a2->isAllocated())
+ throw INTERP_KERNEL::Exception("DenseMatrix::Multiply #2 : input matrices must be not NULL and a2 allocated !");
+ if(a2->getNumberOfComponents()!=1)
+ throw INTERP_KERNEL::Exception("DenseMatrix::Multiply #2 : The 2nd member must have exactly one component !");
+ MEDCouplingAutoRefCountObjectPtr<DenseMatrix> a2Bis(DenseMatrix::New(const_cast<DataArrayDouble *>(a2),a2->getNumberOfTuples(),1));
+ return DenseMatrix::Multiply(a1,a2Bis);
+}
+
+DenseMatrix::~DenseMatrix()
+{
+}
+
+DenseMatrix::DenseMatrix(int nbRows, int nbCols):_nb_rows(nbRows),_nb_cols(nbCols),_data(DataArrayDouble::New())
+{
+ if(_nb_rows<0 || _nb_cols<0)
+ throw INTERP_KERNEL::Exception("constructor of DenseMatrix : number of rows and number of cols must be > 0 both !");
+ int nbOfTuples(_nb_rows*_nb_cols);
+ _data->alloc(nbOfTuples,1);
+}
+
+DenseMatrix::DenseMatrix(DataArrayDouble *array, int nbRows, int nbCols):_nb_rows(nbRows),_nb_cols(nbCols)
+{
+ CheckArraySizes(array,_nb_rows,_nb_cols);
+ _data=array; _data->incrRef();
+}
+
+int DenseMatrix::getNumberOfRowsExt(int nbRows) const
+{
+ if(nbRows<-1)
+ throw INTERP_KERNEL::Exception("DenseMatrix::getNumberOfRowsExt : invalid input must be >= -1 !");
+ if(nbRows==-1)
+ return _nb_rows;
+ else
+ return nbRows;
+}
+
+int DenseMatrix::getNumberOfColsExt(int nbCols) const
+{
+ if(nbCols<-1)
+ throw INTERP_KERNEL::Exception("DenseMatrix::getNumberOfColsExt : invalid input must be >= -1 !");
+ if(nbCols==-1)
+ return _nb_cols;
+ else
+ return nbCols;
+}
+
+void DenseMatrix::checkValidData() const
+{
+ if(!getData())
+ throw INTERP_KERNEL::Exception("DenseMatrix::checkValidData : data is NULL !");
+ if(!getData()->isAllocated())
+ throw INTERP_KERNEL::Exception("DenseMatrix::checkValidData : data is not allocated !");
+ if(getData()->getNumberOfComponents()!=1)
+ throw INTERP_KERNEL::Exception("DenseMatrix::checkValidData : data has not 1 component !");
+}
+
+void DenseMatrix::CheckArraySizes(DataArrayDouble *array, int nbRows, int nbCols)
+{
+ if(nbRows<0 || nbCols<0)
+ throw INTERP_KERNEL::Exception("constructor #2 of DenseMatrix : number of rows and number of cols must be > 0 both !");
+ if(!array || !array->isAllocated())
+ throw INTERP_KERNEL::Exception("constructor #2 of DenseMatrix : input array is empty or not allocated !");
+ if(array->getNumberOfComponents()!=1)
+ throw INTERP_KERNEL::Exception("constructor #2 of DenseMatrix : input array must have exactly one component !");
+ std::size_t nbr((std::size_t)nbRows),nbc((std::size_t)nbCols);
+ if(nbr*nbc!=array->getNbOfElems())
+ throw INTERP_KERNEL::Exception("constructor #2 of DenseMatrix : the number of elems in input array is not equal to the product of nbRows and nbCols !");
+}
+
+void DenseMatrix::CheckSameSize(const DenseMatrix *a1, const DenseMatrix *a2)
+{
+ if(!a1 || !a2)
+ throw INTERP_KERNEL::Exception("DenseMatrix::CheckSameSize : a1 or a2 is NULL !");
+ a1->checkValidData(); a2->checkValidData();
+ if(a1->getNumberOfRows()!=a2->getNumberOfRows())
+ throw INTERP_KERNEL::Exception("DenseMatrix::CheckSameSize : number of rows mismatches !");
+ if(a1->getNumberOfCols()!=a2->getNumberOfCols())
+ throw INTERP_KERNEL::Exception("DenseMatrix::CheckSameSize : number of columns mismatches !");
+
+}
+
+void DenseMatrix::CheckCompatibleSizeForMul(const DenseMatrix *a1, const DenseMatrix *a2)
+{
+ if(!a1 || !a2)
+ throw INTERP_KERNEL::Exception("DenseMatrix::CheckCompatibleSizeForMul : a1 or a2 is NULL !");
+ a1->checkValidData(); a2->checkValidData();
+ if(a1->getNumberOfCols()!=a2->getNumberOfRows())
+ throw INTERP_KERNEL::Exception("DenseMatrix::CheckCompatibleSizeForMul : number of cols of a1 must be equal to number of rows of a2 !");
+}
+
--- /dev/null
+// Copyright (C) 2007-2014 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
+// License as published by the Free Software Foundation; either
+// version 2.1 of the License, or (at your option) any later version.
+//
+// This library is distributed in the hope that it will be useful,
+// but WITHOUT ANY WARRANTY; without even the implied warranty of
+// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
+// Lesser General Public License for more details.
+//
+// You should have received a copy of the GNU Lesser General Public
+// License along with this library; if not, write to the Free Software
+// Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
+//
+// See http://www.salome-platform.org/ or email : webmaster.salome@opencascade.com
+//
+// Author : Anthony Geay
+
+#ifndef __PARAMEDMEM_MEDCOUPLINGMATRIX_HXX__
+#define __PARAMEDMEM_MEDCOUPLINGMATRIX_HXX__
+
+#include "MEDCoupling.hxx"
+#include "MEDCouplingTimeLabel.hxx"
+#include "MEDCouplingRefCountObject.hxx"
+#include "MEDCouplingMemArray.hxx"
+#include "MEDCouplingAutoRefCountObjectPtr.hxx"
+
+#include "InterpKernelException.hxx"
+
+namespace ParaMEDMEM
+{
+ /*!
+ * The aim of this class is \b NOT to reimplement all linear algebra but only to store a dense matrix.
+ * It only provides basic set/get and basic operations and bindings to linear algebra libraries (numpy/scipy) and a compatible format to Petsc.
+ */
+ class DenseMatrix : public RefCountObject, public TimeLabel
+ {
+ public:
+ MEDCOUPLING_EXPORT static DenseMatrix *New(int nbRows, int nbCols);
+ MEDCOUPLING_EXPORT static DenseMatrix *New(DataArrayDouble *array, int nbRows, int nbCols);
+ MEDCOUPLING_EXPORT DenseMatrix *deepCpy() const;
+ MEDCOUPLING_EXPORT DenseMatrix *shallowCpy() const;
+ MEDCOUPLING_EXPORT std::size_t getHeapMemorySizeWithoutChildren() const;
+ MEDCOUPLING_EXPORT std::vector<const BigMemoryObject *> getDirectChildren() const;
+ MEDCOUPLING_EXPORT void updateTime() const;
+ //
+ MEDCOUPLING_EXPORT int getNumberOfRows() const { return _nb_rows; }
+ MEDCOUPLING_EXPORT int getNumberOfCols() const { return _nb_cols; }
+ MEDCOUPLING_EXPORT int getNbOfElems() const { return _nb_rows*_nb_cols; }
+ MEDCOUPLING_EXPORT void reBuild(DataArrayDouble *array, int nbRows=-1, int nbCols=-1);
+ MEDCOUPLING_EXPORT void reShape(int nbRows, int nbCols);
+ MEDCOUPLING_EXPORT void transpose();
+ //
+ MEDCOUPLING_EXPORT bool isEqual(const DenseMatrix& other, double eps) const;
+ MEDCOUPLING_EXPORT bool isEqualIfNotWhy(const DenseMatrix& other, double eps, std::string& reason) const;
+ MEDCOUPLING_EXPORT DataArrayDouble *matVecMult(const DataArrayDouble *vec) const;
+ MEDCOUPLING_EXPORT static DataArrayDouble *MatVecMult(const DenseMatrix *mat, const DataArrayDouble *vec);
+ MEDCOUPLING_EXPORT static DenseMatrix *Add(const DenseMatrix *a1, const DenseMatrix *a2);
+ MEDCOUPLING_EXPORT void addEqual(const DenseMatrix *other);
+ MEDCOUPLING_EXPORT static DenseMatrix *Substract(const DenseMatrix *a1, const DenseMatrix *a2);
+ MEDCOUPLING_EXPORT void substractEqual(const DenseMatrix *other);
+ MEDCOUPLING_EXPORT static DenseMatrix *Multiply(const DenseMatrix *a1, const DenseMatrix *a2);
+ MEDCOUPLING_EXPORT static DenseMatrix *Multiply(const DenseMatrix *a1, const DataArrayDouble *a2);
+ //
+ MEDCOUPLING_EXPORT const DataArrayDouble *getData() const { return _data; }
+ MEDCOUPLING_EXPORT DataArrayDouble *getData() { return _data; }
+ private:
+ ~DenseMatrix();
+ DenseMatrix(int nbRows, int nbCols);
+ DenseMatrix(DataArrayDouble *array, int nbRows, int nbCols);
+ int getNumberOfRowsExt(int nbRows) const;
+ int getNumberOfColsExt(int nbCols) const;
+ void checkValidData() const;
+ static void CheckArraySizes(DataArrayDouble *array, int nbRows, int nbCols);
+ static void CheckSameSize(const DenseMatrix *a1, const DenseMatrix *a2);
+ static void CheckCompatibleSizeForMul(const DenseMatrix *a1, const DenseMatrix *a2);
+ private:
+ int _nb_rows;
+ int _nb_cols;
+ MEDCouplingAutoRefCountObjectPtr<DataArrayDouble> _data;
+ };
+}
+
+#endif
}
/*!
- * Apply a liner function to a given component of \a this array, so that
+ * Apply a linear function to a given component of \a this array, so that
* an array element <em>(x)</em> becomes \f$ a * x + b \f$.
* \param [in] a - the first coefficient of the function.
* \param [in] b - the second coefficient of the function.
}
/*!
- * Apply a liner function to all elements of \a this array, so that
+ * Apply a linear function to all elements of \a this array, so that
* an element _x_ becomes \f$ a * x + b \f$.
* \param [in] a - the first coefficient of the function.
* \param [in] b - the second coefficient of the function.
}
}
+void MEDCouplingTimeDiscretization::applyLin(double a, double b)
+{
+ std::vector<DataArrayDouble *> arrays;
+ getArrays(arrays);
+ for(std::size_t j=0;j<arrays.size();j++)
+ {
+ if(arrays[j])
+ arrays[j]->applyLin(a,b);
+ }
+}
+
void MEDCouplingTimeDiscretization::applyFunc(int nbOfComp, FunctionToEvaluate func)
{
std::vector<DataArrayDouble *> arrays;
MEDCOUPLING_EXPORT virtual void setUniformValue(int nbOfTuple, int nbOfCompo, double value);
MEDCOUPLING_EXPORT virtual void setOrCreateUniformValueOnAllComponents(int nbOfTuple, double value);
MEDCOUPLING_EXPORT virtual void applyLin(double a, double b, int compoId);
+ MEDCOUPLING_EXPORT virtual void applyLin(double a, double b);
MEDCOUPLING_EXPORT virtual void applyFunc(int nbOfComp, FunctionToEvaluate func);
MEDCOUPLING_EXPORT virtual void applyFunc(int nbOfComp, const std::string& func);
MEDCOUPLING_EXPORT virtual void applyFunc2(int nbOfComp, const std::string& func);
def ParaMEDMEMDataArrayIntTupleImod(self,*args):
import _MEDCouplingClient
return _MEDCouplingClient.DataArrayIntTuple____imod___(self, self, *args)
+def ParaMEDMEMDenseMatrixIadd(self,*args):
+ import _MEDCouplingClient
+ return _MEDCouplingClient.DenseMatrix____iadd___(self, self, *args)
+def ParaMEDMEMDenseMatrixIsub(self,*args):
+ import _MEDCouplingClient
+ return _MEDCouplingClient.DenseMatrix____isub___(self, self, *args)
%}
%include "MEDCouplingFinalize.i"
def ParaMEDMEMDataArrayIntTupleImod(self,*args):
import _MEDCouplingCorba
return _MEDCouplingCorba.DataArrayIntTuple____imod___(self, self, *args)
+def ParaMEDMEMDenseMatrixIadd(self,*args):
+ import _MEDCouplingCorba
+ return _MEDCouplingCorba.DenseMatrix____iadd___(self, self, *args)
+def ParaMEDMEMDenseMatrixIsub(self,*args):
+ import _MEDCouplingCorba
+ return _MEDCouplingCorba.DenseMatrix____isub___(self, self, *args)
%}
%include "MEDCouplingFinalize.i"
def ParaMEDMEMDataArrayIntTupleImod(self,*args):
import _MEDCoupling
return _MEDCoupling.DataArrayIntTuple____imod___(self, self, *args)
+def ParaMEDMEMDenseMatrixIadd(self,*args):
+ import _MEDCoupling
+ return _MEDCoupling.DenseMatrix____iadd___(self, self, *args)
+def ParaMEDMEMDenseMatrixIsub(self,*args):
+ import _MEDCoupling
+ return _MEDCoupling.DenseMatrix____isub___(self, self, *args)
%}
%include "MEDCouplingFinalize.i"
self.assertTrue(f.getArray().isEqual(DataArrayDouble([60.75,52.75,52.75,44.75,52.75,44.75,44.75,36.75]),1e-12))
f.applyLin(2.,0.,0)# here it is OK !
self.assertTrue(f.getArray().isEqual(DataArrayDouble([121.5,105.5,105.5,89.5,105.5,89.5,89.5,73.5]),1e-12))
- #f.applyLin(2.,0.)
- #self.assertTrue(f.getArray().isEqual(DataArrayDouble([243.,211.,211.,179.,211.,179.,179.,127.]),1e-12))
+ f.applyLin(2.,0.)
+ self.assertTrue(f.getArray().isEqual(DataArrayDouble([243.,211.,211.,179.,211.,179.,179.,147.]),1e-12))
pass
def testSwig2StructurizeMe1(self):
self.assertTrue(f.isEqual(np))
pass
+ def testSwig2DenseMatrix1(self):
+ m0=DenseMatrix(DataArrayDouble([2,3,4,5,1,6]),2,3)
+ self.assertEqual(m0.getNumberOfRows(),2)
+ self.assertEqual(m0.getNumberOfCols(),3)
+ self.assertEqual(m0.getNbOfElems(),6)
+ ref=m0.getData().getHiddenCppPointer()
+ m00=m0.deepCpy()
+ self.assertTrue(m0.isEqual(m00,1e-12))
+ m00.getData().setIJ(0,0,2.1)
+ self.assertTrue(not m0.isEqual(m00,1e-12))
+ m00.getData().setIJ(0,0,2.)
+ self.assertTrue(m0.isEqual(m00,1e-12))
+ self.assertTrue(m0.getData().isEqual(DataArrayDouble([2,3,4,5,1,6]),1e-12))
+ #
+ m000=m0*DataArrayDouble([5,9,3])
+ self.assertTrue(m000.getData().isEqual(DataArrayDouble([49.,52.]),1e-12))
+ #
+ m0.reShape(3,2)
+ self.assertTrue(not m0.isEqual(m00,1e-12))
+ self.assertEqual(m0.getNumberOfRows(),3)
+ self.assertEqual(m0.getNumberOfCols(),2)
+ self.assertEqual(ref,m0.getData().getHiddenCppPointer())
+ self.assertTrue(m0.getData().isEqual(DataArrayDouble([2,3,4,5,1,6]),1e-12))
+ m0.reShape(2,3)
+ self.assertTrue(m0.isEqual(m00,1e-12))
+ self.assertEqual(ref,m0.getData().getHiddenCppPointer())
+ self.assertEqual(m0.getNumberOfRows(),2)
+ self.assertEqual(m0.getNumberOfCols(),3)
+ self.assertTrue(m0.getData().isEqual(DataArrayDouble([2,3,4,5,1,6]),1e-12))
+ #m0np=m0.getData().toNumPyArray() ; m0np=matrix(m0np.reshape(m0.getNumberOfRows(),m0.getNumberOfCols()))
+ m1=m0.deepCpy()
+ self.assertEqual(m1.getNumberOfRows(),2)
+ self.assertEqual(m1.getNumberOfCols(),3)
+ self.assertTrue(m1.getData().isEqual(DataArrayDouble([2,3,4,5,1,6]),1e-12))
+ m11=m0.deepCpy() ; m11+=m1
+ self.assertEqual(m11.getNumberOfRows(),2)
+ self.assertEqual(m11.getNumberOfCols(),3)
+ self.assertTrue(m11.getData().isEqual(DataArrayDouble([4,6,8,10,2,12]),1e-12))
+ m11=m11+m1
+ self.assertEqual(m11.getNumberOfRows(),2)
+ self.assertEqual(m11.getNumberOfCols(),3)
+ self.assertTrue(m11.getData().isEqual(DataArrayDouble([6,9,12,15,3,18]),1e-12))
+ m11=m11-m1
+ self.assertEqual(m11.getNumberOfRows(),2)
+ self.assertEqual(m11.getNumberOfCols(),3)
+ self.assertTrue(m11.getData().isEqual(DataArrayDouble([4,6,8,10,2,12]),1e-12))
+ m11-=m1
+ self.assertEqual(m1.getNumberOfRows(),2)
+ self.assertEqual(m1.getNumberOfCols(),3)
+ self.assertTrue(m1.getData().isEqual(DataArrayDouble([2,3,4,5,1,6]),1e-12))
+ m1.transpose()
+ self.assertEqual(m1.getNumberOfRows(),3)
+ self.assertEqual(m1.getNumberOfCols(),2)
+ self.assertTrue(m1.getData().isEqual(DataArrayDouble([2,5,3,1,4,6]),1e-12))
+ #m1np=m0np.transpose()
+ m2=m0*m1
+ self.assertEqual(m2.getNumberOfRows(),2)
+ self.assertEqual(m2.getNumberOfCols(),2)
+ self.assertTrue(m2.getData().isEqual(DataArrayDouble([29,37,37,62]),1e-12))
+ pass
+
def setUp(self):
pass
pass
#include "MEDCouplingDefinitionTime.hxx"
#include "MEDCouplingFieldDiscretization.hxx"
#include "MEDCouplingCartesianAMRMesh.hxx"
+#include "MEDCouplingMatrix.hxx"
#include "MEDCouplingTypemaps.i"
#include "InterpKernelAutoPtr.hxx"
%newobject ParaMEDMEM::MEDCouplingCartesianAMRMesh::getFather;
%newobject ParaMEDMEM::MEDCouplingCartesianAMRMesh::getPatch;
%newobject ParaMEDMEM::MEDCouplingCartesianAMRMesh::__getitem__;
+%newobject ParaMEDMEM::DenseMatrix::New;
+%newobject ParaMEDMEM::DenseMatrix::deepCpy;
+%newobject ParaMEDMEM::DenseMatrix::shallowCpy;
+%newobject ParaMEDMEM::DenseMatrix::getData;
+%newobject ParaMEDMEM::DenseMatrix::matVecMult;
+%newobject ParaMEDMEM::DenseMatrix::MatVecMult;
+%newobject ParaMEDMEM::DenseMatrix::__add__;
+%newobject ParaMEDMEM::DenseMatrix::__sub__;
+%newobject ParaMEDMEM::DenseMatrix::__mul__;
%feature("unref") MEDCouplingPointSet "$this->decrRef();"
%feature("unref") MEDCouplingMesh "$this->decrRef();"
%feature("unref") MEDCouplingMultiFields "$this->decrRef();"
%feature("unref") MEDCouplingCartesianAMRMesh "$this->decrRef();"
%feature("unref") MEDCouplingCartesianAMRPatch "$this->decrRef();"
+%feature("unref") DenseMatrix "$this->decrRef();"
%rename(assign) *::operator=;
%ignore ParaMEDMEM::MEDCouplingGaussLocalization::pushTinySerializationIntInfo;
void setStartTime(double val, int iteration, int order) throw(INTERP_KERNEL::Exception);
void setEndTime(double val, int iteration, int order) throw(INTERP_KERNEL::Exception);
void applyLin(double a, double b, int compoId) throw(INTERP_KERNEL::Exception);
+ void applyLin(double a, double b) throw(INTERP_KERNEL::Exception);
int getNumberOfComponents() const throw(INTERP_KERNEL::Exception);
int getNumberOfTuples() const throw(INTERP_KERNEL::Exception);
int getNumberOfValues() const throw(INTERP_KERNEL::Exception);
}
}
};
+
+ class DenseMatrix : public RefCountObject, public TimeLabel
+ {
+ public:
+ static DenseMatrix *New(int nbRows, int nbCols) throw(INTERP_KERNEL::Exception);
+ static DenseMatrix *New(DataArrayDouble *array, int nbRows, int nbCols) throw(INTERP_KERNEL::Exception);
+ DenseMatrix *deepCpy() const throw(INTERP_KERNEL::Exception);
+ DenseMatrix *shallowCpy() const throw(INTERP_KERNEL::Exception);
+ //
+ int getNumberOfRows() const throw(INTERP_KERNEL::Exception);
+ int getNumberOfCols() const throw(INTERP_KERNEL::Exception);
+ int getNbOfElems() const throw(INTERP_KERNEL::Exception);
+ void reBuild(DataArrayDouble *array, int nbRows=-1, int nbCols=-1) throw(INTERP_KERNEL::Exception);
+ void reShape(int nbRows, int nbCols) throw(INTERP_KERNEL::Exception);
+ void transpose() throw(INTERP_KERNEL::Exception);
+ //
+ bool isEqual(const DenseMatrix& other, double eps) const throw(INTERP_KERNEL::Exception);
+ DataArrayDouble *matVecMult(const DataArrayDouble *vec) const throw(INTERP_KERNEL::Exception);
+ static DataArrayDouble *MatVecMult(const DenseMatrix *mat, const DataArrayDouble *vec) throw(INTERP_KERNEL::Exception);
+ %extend
+ {
+ DenseMatrix(int nbRows, int nbCols) throw(INTERP_KERNEL::Exception)
+ {
+ return DenseMatrix::New(nbRows,nbCols);
+ }
+
+ DenseMatrix(DataArrayDouble *array, int nbRows, int nbCols) throw(INTERP_KERNEL::Exception)
+ {
+ return DenseMatrix::New(array,nbRows,nbCols);
+ }
+
+ PyObject *isEqualIfNotWhy(const DenseMatrix& other, double eps) const throw(INTERP_KERNEL::Exception)
+ {
+ std::string ret1;
+ bool ret0=self->isEqualIfNotWhy(other,eps,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;
+ }
+
+ DataArrayDouble *getData() throw(INTERP_KERNEL::Exception)
+ {
+ DataArrayDouble *ret(self->getData());
+ if(ret)
+ ret->incrRef();
+ return ret;
+ }
+
+ DenseMatrix *__add__(const DenseMatrix *other) throw(INTERP_KERNEL::Exception)
+ {
+ return ParaMEDMEM::DenseMatrix::Add(self,other);
+ }
+
+ DenseMatrix *__sub__(const DenseMatrix *other) throw(INTERP_KERNEL::Exception)
+ {
+ return ParaMEDMEM::DenseMatrix::Substract(self,other);
+ }
+
+ DenseMatrix *__mul__(const DenseMatrix *other) throw(INTERP_KERNEL::Exception)
+ {
+ return ParaMEDMEM::DenseMatrix::Multiply(self,other);
+ }
+
+ DenseMatrix *__mul__(const DataArrayDouble *other) throw(INTERP_KERNEL::Exception)
+ {
+ return ParaMEDMEM::DenseMatrix::Multiply(self,other);
+ }
+
+ PyObject *___iadd___(PyObject *trueSelf, const DenseMatrix *other) throw(INTERP_KERNEL::Exception)
+ {
+ self->addEqual(other);
+ Py_XINCREF(trueSelf);
+ return trueSelf;
+ }
+
+ PyObject *___isub___(PyObject *trueSelf, const DenseMatrix *other) throw(INTERP_KERNEL::Exception)
+ {
+ self->substractEqual(other);
+ Py_XINCREF(trueSelf);
+ return trueSelf;
+ }
+ }
+ };
}
%pythoncode %{
DataArrayIntTuple.__idiv__=ParaMEDMEMDataArrayIntTupleIdiv
DataArrayIntTuple.__imod__=ParaMEDMEMDataArrayIntTupleImod
+DenseMatrix.__iadd__=ParaMEDMEMDenseMatrixIadd
+DenseMatrix.__isub__=ParaMEDMEMDenseMatrixIsub
+
del ParaMEDMEMDataArrayDoubleIadd
del ParaMEDMEMDataArrayDoubleIsub
del ParaMEDMEMDataArrayDoubleImul
del ParaMEDMEMDataArrayIntTupleImul
del ParaMEDMEMDataArrayIntTupleIdiv
del ParaMEDMEMDataArrayIntTupleImod
+del ParaMEDMEMDenseMatrixIadd
+del ParaMEDMEMDenseMatrixIsub
%}
def ParaMEDMEMDataArrayIntTupleImod(self,*args):
import _MEDCouplingRemapper
return _MEDCouplingRemapper.DataArrayIntTuple____imod___(self, self, *args)
+def ParaMEDMEMDenseMatrixIadd(self,*args):
+ import _MEDCouplingRemapper
+ return _MEDCouplingRemapper.DenseMatrix____iadd___(self, self, *args)
+def ParaMEDMEMDenseMatrixIsub(self,*args):
+ import _MEDCouplingRemapper
+ return _MEDCouplingRemapper.DenseMatrix____isub___(self, self, *args)
%}
%include "MEDCouplingFinalize.i"
def ParaMEDMEMDataArrayIntTupleImod(self,*args):
import _MEDLoader
return _MEDLoader.DataArrayIntTuple____imod___(self, self, *args)
+def ParaMEDMEMDenseMatrixIadd(self,*args):
+ import _MEDLoader
+ return _MEDLoader.DenseMatrix____iadd___(self, self, *args)
+def ParaMEDMEMDenseMatrixIsub(self,*args):
+ import _MEDLoader
+ return _MEDLoader.DenseMatrix____isub___(self, self, *args)
%}
%include "MEDCouplingFinalize.i"
