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A fast and easy to use dense and sparse matrix linear algebra library written in Java.

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/*
 * Copyright (c) 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;

import org.ejml.data.ReshapeMatrix;
import org.ejml.interfaces.decomposition.DecompositionInterface;
import org.ejml.interfaces.linsol.LinearSolverDense;
import org.jetbrains.annotations.Nullable;

/**
 * Ensures that any linear solver it is wrapped around will never modify
 * the input matrices.
 *
 * @author Peter Abeles
 */
public class LinearSolverSafe implements LinearSolverDense {

    // the solver it is wrapped around
    private final LinearSolverDense alg;

    // local copies of input matrices that can be modified.
    private @Nullable T A;
    private @Nullable T B;

    /**
     * @param alg The solver it is wrapped around.
     */
    public LinearSolverSafe( LinearSolverDense alg ) {
        this.alg = alg;
    }

    @Override
    public boolean setA( T A ) {

        if (alg.modifiesA()) {
            this.A = UtilEjml.reshapeOrDeclare(this.A, A);
            this.A.setTo(A);
            return alg.setA(this.A);
        }

        return alg.setA(A);
    }

    @Override
    public /**/double quality() {
        return alg.quality();
    }

    @Override
    public void solve( T B, T X ) {
        if (alg.modifiesB()) {
            this.B = UtilEjml.reshapeOrDeclare(this.B, B);
            this.B.setTo(B);
            B = this.B;
        }

        alg.solve(B, X);
    }

    @Override
    public void invert( T A_inv ) {
        alg.invert(A_inv);
    }

    @Override
    public boolean modifiesA() {
        return false;
    }

    @Override
    public boolean modifiesB() {
        return false;
    }

    @Override
    public  D getDecomposition() {
        return alg.getDecomposition();
    }
}




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