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// -*- C++ -*-
/**
* @brief The test file of class Matrix for standard methods
*
* Copyright 2005-2025 Airbus-EDF-IMACS-ONERA-Phimeca
*
* 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 3 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, see <http://www.gnu.org/licenses/>.
*
*/
#include "openturns/OT.hxx"
#include "openturns/OTtestcode.hxx"
using namespace OT;
using namespace OT::Test;
int main(int, char *[])
{
TESTPREAMBLE;
OStream fullprint(std::cout);
/** TEST NUMBER ZERO : DEFAULT CONSTRUCTOR AND STRING CONVERTER */
fullprint << "test number zero : default constructor and string converter" << std::endl;
/* Default constructor */
SparseMatrix matrix0;
/* String converter */
fullprint << "matrix0 = " << matrix0 << std::endl;
/** TEST NUMBER ONE : CONSTRUCTOR WITH SIZE, OPERATOR() AND STRING CONVERTER */
fullprint << "test number one : constructor with size, operator() and string converter" << std::endl;
/* Constructor with size */
SparseMatrix matrix1(4, 5);
/* Check operator() methods */
matrix1(0, 2) = 5. ;
matrix1(1, 0) = 8. ;
matrix1(2, 4) = 2. ;
matrix1(3, 2) = 9. ;
/* String converter */
fullprint << "matrix1 = " << matrix1 << std::endl;
fullprint << "matrix1 as dense = " << matrix1.asDenseMatrix().__str__() << std::endl;
/** TEST NUMBER TWO : COPY CONSTRUCTOR AND STRING CONVERTER */
fullprint << "test number two : copy constructor and string converter" << std::endl;
/* Copy constructor */
SparseMatrix matrix2(matrix1);
/* String converter */
fullprint << "matrix2 = " << matrix2 << std::endl;
/** TEST NUMBER THREE : GET DIMENSIONS METHODS */
fullprint << "test number three : get dimensions methods" << std::endl;
/* Get dimension methods */
fullprint << "matrix1's nbRows = " << matrix1.getNbRows() << std::endl
<< "matrix1's nbColumns = " << matrix1.getNbColumns() << std::endl
<< "matrix1's nbNonZeros = " << matrix1.getNbNonZeros() << std::endl;
/** TEST NUMBER FOUR : TRANSPOSITION METHOD */
fullprint << "test number six : transposition method" << std::endl;
/* Check transpose method */
SparseMatrix matrix4 = matrix1.transpose();
fullprint << "matrix1 transposed = " << matrix4.asDenseMatrix().__str__() << std::endl;
/* Create the point */
Point pt(5);
for(UnsignedInteger i = 0; i < 5; ++ i)
pt[i] = i + 1;
fullprint << "pt = " << pt << std::endl;
// mul with Point
Point ptResult = matrix1.operator * ( pt ) ;
fullprint << "ptResult = " << ptResult << std::endl;
// multiply with Matrix
Matrix dense1(5, 6);
for(UnsignedInteger i = 0; i < dense1.getNbRows(); ++ i)
for(UnsignedInteger j = 0; j < dense1.getNbColumns(); ++ j)
dense1(i, j) = i + j * 10;
fullprint << "dense1=" << dense1.__str__() << std::endl;
Matrix res2(matrix1 * dense1);
fullprint << "sparse*dense=" << res2.__str__() << std::endl;
fullprint << "same=" << (res2 == matrix1.asDenseMatrix() * dense1) << std::endl;
/** triplet ctor */
Indices rowIndices;
Indices columnIndices;
Point values;
rowIndices.add(0);
columnIndices.add(2);
values.add(5.0);
rowIndices.add(1);
columnIndices.add(0);
values.add(8.0);
rowIndices.add(2);
columnIndices.add(4);
values.add(2.0);
rowIndices.add(3);
columnIndices.add(2);
values.add(9.0);
SparseMatrix matrix3(4, 5, rowIndices, columnIndices, values);
fullprint << "matrix3=" << matrix3 << std::endl;
fullprint << "matrix3 as dense = " << matrix3.asDenseMatrix().__str__() << std::endl;
fullprint << "ptResult = " << matrix3*pt << std::endl;
// item accessor
Scalar a24 = matrix3(2, 4);
fullprint << "matrix3(2, 4)=" << a24 << std::endl;
matrix3(2, 4) = 8.0;
a24 = matrix3(2, 4);
fullprint << "matrix3(2, 4)=" << a24 << std::endl;
// sum values at duplicate indices
rowIndices.add(2);
columnIndices.add(4);
values.add(2.0);
SparseMatrix matrix5(4, 5, rowIndices, columnIndices, values);
fullprint << "matrix5=" << matrix5 << std::endl;
fullprint << "matrix5 as dense = " << matrix5.asDenseMatrix().__str__() << std::endl;
fullprint << "ptResult = " << matrix5*pt << std::endl;
return ExitCode::Success;
}
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