X-Git-Url: http://git.salome-platform.org/gitweb/?a=blobdiff_plain;f=src%2FMEDCoupling%2FMEDCouplingMatrix.cxx;h=35b6e1e750cd45c8c2f39c49c4c4fb66a46ba46c;hb=b219559763498c4bd10c730cd3d2c62b1eed45db;hp=1045e260cd104afa2a2bd7ce3ddd4730c3761b3d;hpb=48d2e4c6fa2057fcc6e9d8474eb73516886c861b;p=tools%2Fmedcoupling.git diff --git a/src/MEDCoupling/MEDCouplingMatrix.cxx b/src/MEDCoupling/MEDCouplingMatrix.cxx old mode 100644 new mode 100755 index 1045e260c..35b6e1e75 --- a/src/MEDCoupling/MEDCouplingMatrix.cxx +++ b/src/MEDCoupling/MEDCouplingMatrix.cxx @@ -26,12 +26,12 @@ using namespace MEDCoupling; -DenseMatrix *DenseMatrix::New(int nbRows, int nbCols) +DenseMatrix *DenseMatrix::New(mcIdType nbRows, mcIdType nbCols) { return new DenseMatrix(nbRows,nbCols); } -DenseMatrix *DenseMatrix::New(DataArrayDouble *array, int nbRows, int nbCols) +DenseMatrix *DenseMatrix::New(DataArrayDouble *array, mcIdType nbRows, mcIdType nbCols) { return new DenseMatrix(array,nbRows,nbCols); } @@ -77,9 +77,9 @@ void DenseMatrix::updateTime() const * * \sa reShape */ -void DenseMatrix::reBuild(DataArrayDouble *array, int nbRows, int nbCols) +void DenseMatrix::reBuild(DataArrayDouble *array, mcIdType nbRows, mcIdType nbCols) { - int nbr(getNumberOfRowsExt(nbRows)),nbc(getNumberOfColsExt(nbCols)); + mcIdType nbr(getNumberOfRowsExt(nbRows)),nbc(getNumberOfColsExt(nbCols)); CheckArraySizes(array,nbr,nbc); DataArrayDouble *data(_data); if(data!=array) @@ -108,7 +108,7 @@ void DenseMatrix::reBuild(DataArrayDouble *array, int nbRows, int nbCols) * \throw if the \c nbRows*nbCols is not equal to \c this->getNbOfElems() * \sa reBuild */ -void DenseMatrix::reShape(int nbRows, int nbCols) +void DenseMatrix::reShape(mcIdType nbRows, mcIdType nbCols) { if(nbRows<0 || nbCols<0) throw INTERP_KERNEL::Exception("DenseMatrix::reShape : number of rows and number of cols must be > 0 both !"); @@ -225,7 +225,7 @@ 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()); + mcIdType nbr(a1->getNumberOfRows()),nbc(a2->getNumberOfCols()); MCAuto data(DataArrayDouble::New()); data->alloc(nbr*nbc,1); MCAuto 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()); @@ -246,21 +246,21 @@ DenseMatrix::~DenseMatrix() { } -DenseMatrix::DenseMatrix(int nbRows, int nbCols):_nb_rows(nbRows),_nb_cols(nbCols),_data(DataArrayDouble::New()) +DenseMatrix::DenseMatrix(mcIdType nbRows, mcIdType 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); + mcIdType nbOfTuples(_nb_rows*_nb_cols); _data->alloc(nbOfTuples,1); } -DenseMatrix::DenseMatrix(DataArrayDouble *array, int nbRows, int nbCols):_nb_rows(nbRows),_nb_cols(nbCols) +DenseMatrix::DenseMatrix(DataArrayDouble *array, mcIdType nbRows, mcIdType nbCols):_nb_rows(nbRows),_nb_cols(nbCols) { CheckArraySizes(array,_nb_rows,_nb_cols); _data=array; _data->incrRef(); } -int DenseMatrix::getNumberOfRowsExt(int nbRows) const +mcIdType DenseMatrix::getNumberOfRowsExt(mcIdType nbRows) const { if(nbRows<-1) throw INTERP_KERNEL::Exception("DenseMatrix::getNumberOfRowsExt : invalid input must be >= -1 !"); @@ -270,7 +270,7 @@ int DenseMatrix::getNumberOfRowsExt(int nbRows) const return nbRows; } -int DenseMatrix::getNumberOfColsExt(int nbCols) const +mcIdType DenseMatrix::getNumberOfColsExt(mcIdType nbCols) const { if(nbCols<-1) throw INTERP_KERNEL::Exception("DenseMatrix::getNumberOfColsExt : invalid input must be >= -1 !"); @@ -290,7 +290,7 @@ void DenseMatrix::checkValidData() const throw INTERP_KERNEL::Exception("DenseMatrix::checkValidData : data has not 1 component !"); } -void DenseMatrix::CheckArraySizes(DataArrayDouble *array, int nbRows, int nbCols) +void DenseMatrix::CheckArraySizes(DataArrayDouble *array, mcIdType nbRows, mcIdType 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 !"); @@ -298,8 +298,7 @@ void DenseMatrix::CheckArraySizes(DataArrayDouble *array, int nbRows, int nbCols 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()) + if(nbRows*nbCols!=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 !"); }