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/*
* Copyright (c) 2009-2020, Peter Abeles. All Rights Reserved.
*
* This file is part of Efficient Java Matrix Library (EJML).
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.ejml.sparse;
import org.ejml.LinearSolverSafe;
import org.ejml.LinearSolverSparseSafe;
import org.ejml.UtilEjml;
import org.ejml.data.DMatrixRMaj;
import org.ejml.data.DMatrixSparseCSC;
import org.ejml.interfaces.decomposition.DecompositionInterface;
import org.ejml.interfaces.linsol.LinearSolverDense;
import org.ejml.interfaces.linsol.LinearSolverSparse;
import org.junit.jupiter.api.Test;
import java.util.Random;
import static org.junit.jupiter.api.Assertions.*;
/**
* @author Peter Abeles
*/
public class TestLinearSolverSparseSafe {
Random rand = new Random(234);
DMatrixSparseCSC Ainput = new DMatrixSparseCSC(1,1,1);
DMatrixRMaj Binput = new DMatrixRMaj(1,1);
/**
* Checks to see if the input matrix is copied after multiple calls. This was an actual bug.
*/
@Test
public void multipleCalls_setA() {
DummySolver dummy = new DummySolver(true,false);
dummy.expectedA = 5;
LinearSolverSparse<DMatrixSparseCSC,DMatrixRMaj> s = new LinearSolverSparseSafe<>(dummy);
Ainput.set(0,0,5);
s.setA(Ainput);
// call it a second time and see if the input matrix has been reset to the
// correct value
s.setA(Ainput);
assertNotSame(dummy.passedin, Ainput);
}
/**
* Checks to see if the input matrix is copied after multiple calls. This was an actual bug.
*/
@Test
public void multipleCalls_setB() {
DummySolver dummy = new DummySolver(false,true);
dummy.expectedB = 5;
LinearSolverSparse<DMatrixSparseCSC,DMatrixRMaj> s = new LinearSolverSparseSafe<>(dummy);
Binput.set(0,0,5);
s.solve(Binput,new DMatrixRMaj(1,1));
// call it a second time and see if the input matrix has been reset to the
// correct value
s.solve(Binput,new DMatrixRMaj(1,1));
assertNotSame(dummy.passedin, Ainput);
}
@Test
public void testSetA_notMod() {
DummySolver dummy = new DummySolver(false,false);
LinearSolverSparse<DMatrixSparseCSC,DMatrixRMaj> s = new LinearSolverSparseSafe<>(dummy);
s.setA(Ainput);
assertSame(dummy.passedin, Ainput);
}
@Test
public void testSetA_mod() {
DummySolver dummy = new DummySolver(true,false);
LinearSolverSparse<DMatrixSparseCSC,DMatrixRMaj> s = new LinearSolverSparseSafe<>(dummy);
s.setA(Ainput);
assertNotSame(dummy.passedin, Ainput);
}
@Test
public void testSolver_notMod() {
DummySolver dummy = new DummySolver(false,false);
LinearSolverSparse<DMatrixSparseCSC,DMatrixRMaj> s = new LinearSolverSparseSafe<>(dummy);
s.solve(Binput,new DMatrixRMaj(1,1));
assertSame(dummy.passedInDense, Binput);
}
@Test
public void testSolver_mod() {
DummySolver dummy = new DummySolver(false,true);
LinearSolverSparse<DMatrixSparseCSC,DMatrixRMaj> s = new LinearSolverSparseSafe<>(dummy);
s.solve(Binput,new DMatrixRMaj(1,1));
assertNotSame(dummy.passedInDense, Binput);
}
@Test
public void quality() {
DummySolver dummy = new DummySolver(false,false);
LinearSolverSparse<DMatrixSparseCSC,DMatrixRMaj> s = new LinearSolverSparseSafe<>(dummy);
assertEquals(dummy.quality(), s.quality());
}
@Test
@SuppressWarnings({"NullAway"})
public void modifies() {
LinearSolverDense<DMatrixRMaj> s = new LinearSolverSafe<>(null);
assertFalse(s.modifiesA());
assertFalse(s.modifiesB());
}
@SuppressWarnings({"NullAway"})
private class DummySolver implements LinearSolverSparse<DMatrixSparseCSC,DMatrixRMaj>
{
boolean modifiesA;
boolean modifiesB;
DMatrixSparseCSC passedin;
DMatrixRMaj passedInDense;
// the expected value of the input matrix
double expectedA = Double.NaN;
double expectedB = Double.NaN;
private DummySolver(boolean modifiesA, boolean modifiesB) {
this.modifiesA = modifiesA;
this.modifiesB = modifiesB;
}
@Override
public boolean setA(DMatrixSparseCSC A) {
passedin = A;
// the input matrix has an expected input value
if( !Double.isNaN(expectedA))
assertEquals(expectedA,A.get(0,0), UtilEjml.TEST_F64);
if( modifiesA ) {
A.set(0,0,rand.nextDouble());
}
return true;
}
@Override
public /**/double quality() {
return 1.1;
}
@Override
public void solve(DMatrixRMaj B, DMatrixRMaj X) {
passedInDense = B;
// the input matrix has an expected input value
if( !Double.isNaN(expectedB))
assertEquals(expectedB,B.get(0),UtilEjml.TEST_F64);
if( modifiesB ) {
B.set(0,0,rand.nextDouble());
}
}
@Override
public boolean modifiesA() {
return modifiesA;
}
@Override
public boolean modifiesB() {
return modifiesB;
}
@Override
public <D extends DecompositionInterface> D getDecomposition() {
return null;
}
@Override
public void solveSparse(DMatrixSparseCSC B, DMatrixSparseCSC X) {
}
@Override
public void setStructureLocked(boolean locked) {
}
@Override
public boolean isStructureLocked() {
return false;
}
}
}
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