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oj! Algorithms - ojAlgo - is Open Source Java code that has to do with mathematics, linear algebra and optimisation.
/*
* Copyright 1997-2024 Optimatika
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
package org.ojalgo.matrix;
import java.lang.reflect.Constructor;
import java.lang.reflect.InvocationTargetException;
import java.util.List;
import java.util.function.Supplier;
import org.ojalgo.ProgrammingError;
import org.ojalgo.array.ArrayR064;
import org.ojalgo.function.FunctionSet;
import org.ojalgo.function.NullaryFunction;
import org.ojalgo.matrix.store.ElementsSupplier;
import org.ojalgo.matrix.store.MatrixStore;
import org.ojalgo.matrix.store.PhysicalStore;
import org.ojalgo.matrix.store.SparseStore;
import org.ojalgo.scalar.Scalar;
import org.ojalgo.scalar.Scalar.Factory;
import org.ojalgo.structure.Access1D;
import org.ojalgo.structure.Access2D;
import org.ojalgo.structure.Factory1D;
import org.ojalgo.structure.Factory2D;
import org.ojalgo.structure.Mutate2D;
import org.ojalgo.structure.Structure2D;
import org.ojalgo.tensor.TensorFactory1D;
import org.ojalgo.tensor.TensorFactory2D;
import org.ojalgo.type.math.MathType;
/**
* MatrixFactory creates instances of classes that implement the {@linkplain org.ojalgo.matrix.BasicMatrix}
* interface and have a constructor that takes a MatrixStore as input.
*
* @author apete
*/
public abstract class MatrixFactory, M extends BasicMatrix, DR extends Mutate2D.ModifiableReceiver & Supplier, SR extends Mutate2D.ModifiableReceiver & Supplier>
implements Factory2D.Dense, Factory2D.MayBeSparse {
private static Constructor extends BasicMatrix, ?>> getConstructor(final Class extends BasicMatrix, ?>> template) {
try {
Constructor extends BasicMatrix, ?>> retVal = template.getDeclaredConstructor(ElementsSupplier.class);
retVal.setAccessible(true);
return retVal;
} catch (SecurityException | NoSuchMethodException cause) {
throw new ProgrammingError(cause);
}
}
private final Constructor myConstructor;
private final PhysicalStore.Factory myPhysicalFactory;
MatrixFactory(final Class template, final PhysicalStore.Factory factory) {
super();
myPhysicalFactory = factory;
myConstructor = (Constructor) MatrixFactory.getConstructor(template);
}
public M columns(final Access1D>... source) {
return this.instantiate(myPhysicalFactory.columns(source));
}
public M columns(final Comparable>[]... source) {
return this.instantiate(myPhysicalFactory.columns(source));
}
public M columns(final double[]... source) {
return this.instantiate(myPhysicalFactory.columns(source));
}
public M columns(final List extends Comparable>>... source) {
return this.instantiate(myPhysicalFactory.columns(source));
}
public M copy(final Access2D> source) {
return this.instantiate(myPhysicalFactory.copy(source));
}
@Override
public FunctionSet function() {
return myPhysicalFactory.function();
}
public M make(final long rows, final long columns) {
return this.instantiate(myPhysicalFactory.makeZero((int) rows, (int) columns));
}
public DR makeDense(final int count) {
return this.makeDense(count, 1);
}
public DR makeDense(final long rows, final long columns) {
return this.dense(myPhysicalFactory.make(rows, columns));
}
public M makeDiagonal(final Access1D> diagonal) {
return this.instantiate(myPhysicalFactory.makeDiagonal(diagonal).get());
}
public M makeDiagonal(final double... diagonal) {
return this.makeDiagonal(ArrayR064.wrap(diagonal));
}
public M makeEye(final int rows, final int columns) {
final int square = Math.min(rows, columns);
MatrixStore retVal = myPhysicalFactory.makeIdentity(square);
if (rows > square) {
retVal = retVal.below(rows - square);
} else if (columns > square) {
retVal = retVal.right(columns - square);
}
return this.instantiate(retVal);
}
public M makeEye(final Structure2D shape) {
return this.makeEye(Math.toIntExact(shape.countRows()), Math.toIntExact(shape.countColumns()));
}
public M makeFilled(final long rows, final long columns, final NullaryFunction> supplier) {
return this.instantiate(myPhysicalFactory.makeFilled(rows, columns, supplier));
}
public M makeIdentity(final int dimension) {
return this.instantiate(myPhysicalFactory.makeIdentity(dimension));
}
public M makeSingle(final N element) {
return this.instantiate(myPhysicalFactory.makeSingle(element));
}
public SR makeSparse(final long rows, final long columns) {
return this.sparse(myPhysicalFactory.makeSparse(rows, columns));
}
public SR makeSparse(final Structure2D shape) {
return this.makeSparse(Math.toIntExact(shape.countRows()), Math.toIntExact(shape.countColumns()));
}
public M makeWrapper(final Access2D> elements) {
return this.instantiate(myPhysicalFactory.makeWrapper(elements));
}
public M rows(final Access1D>... source) {
return this.instantiate(myPhysicalFactory.rows(source));
}
public M rows(final Comparable>[]... source) {
return this.instantiate(myPhysicalFactory.rows(source));
}
public M rows(final double[]... source) {
return this.instantiate(myPhysicalFactory.rows(source));
}
public M rows(final List extends Comparable>>... source) {
return this.instantiate(myPhysicalFactory.rows(source));
}
@Override
public Scalar.Factory scalar() {
return myPhysicalFactory.scalar();
}
public TensorFactory1D tensor1D() {
return TensorFactory1D.of(new Factory1D() {
public FunctionSet function() {
return MatrixFactory.this.function();
}
public DR make(final long count) {
return MatrixFactory.this.makeDense(count, 1L);
}
public Factory scalar() {
return MatrixFactory.this.scalar();
}
public MathType getMathType() {
return MatrixFactory.this.getMathType();
}
});
}
public TensorFactory2D tensor2D() {
return TensorFactory2D.of(new Factory2D() {
public FunctionSet function() {
return MatrixFactory.this.function();
}
public DR make(final long rows, final long columns) {
return MatrixFactory.this.makeDense(rows, columns);
}
public Factory scalar() {
return MatrixFactory.this.scalar();
}
public MathType getMathType() {
return MatrixFactory.this.getMathType();
}
});
}
abstract DR dense(final PhysicalStore store);
final PhysicalStore.Factory getPhysicalFactory() {
return myPhysicalFactory;
}
/**
* This method is for internal use only - YOU should NOT use it!
*/
M instantiate(final ElementsSupplier supplier) {
try {
return myConstructor.newInstance(supplier);
} catch (final IllegalArgumentException | InstantiationException | IllegalAccessException | InvocationTargetException cause) {
throw new ProgrammingError(cause);
}
}
abstract SR sparse(final SparseStore store);
public MathType getMathType() {
return myPhysicalFactory.getMathType();
}
}