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Plugin to incorporate dense matrix classes from the jblas library
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/*
 * Copyright (C) 2008-2015 by Holger Arndt
 *
 * This file is part of the Universal Java Matrix Package (UJMP).
 * See the NOTICE file distributed with this work for additional
 * information regarding copyright ownership and licensing.
 *
 * UJMP 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 2
 * of the License, or (at your option) any later version.
 *
 * UJMP 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 UJMP; if not, write to the
 * Free Software Foundation, Inc., 51 Franklin St, Fifth Floor,
 * Boston, MA  02110-1301  USA
 */

package org.ujmp.jblas;

import org.jblas.DoubleMatrix;
import org.ujmp.core.Matrix;
import org.ujmp.core.doublematrix.DenseDoubleMatrix2D;
import org.ujmp.core.doublematrix.stub.AbstractDenseDoubleMatrix2D;
import org.ujmp.core.interfaces.HasColumnMajorDoubleArray1D;
import org.ujmp.core.interfaces.HasRowMajorDoubleArray2D;
import org.ujmp.core.interfaces.Wrapper;
import org.ujmp.core.mapmatrix.MapMatrix;
import org.ujmp.jblas.calculation.Chol;
import org.ujmp.jblas.calculation.Eig;
import org.ujmp.jblas.calculation.Inv;
import org.ujmp.jblas.calculation.InvSPD;
import org.ujmp.jblas.calculation.LU;
import org.ujmp.jblas.calculation.SVD;
import org.ujmp.jblas.calculation.Solve;

public class JBlasDenseDoubleMatrix2D extends AbstractDenseDoubleMatrix2D implements Wrapper {
	private static final long serialVersionUID = 4929284378405884509L;

	public static final JBlasDenseDoubleMatrix2DFactory Factory = new JBlasDenseDoubleMatrix2DFactory();

	private final DoubleMatrix matrix;

	public JBlasDenseDoubleMatrix2D(int rows, int columns) {
		super(rows, columns);
		this.matrix = new DoubleMatrix(rows, columns);
	}

	public JBlasDenseDoubleMatrix2D(DoubleMatrix matrix) {
		super(matrix.getRows(), matrix.getColumns());
		this.matrix = matrix;
	}

	public JBlasDenseDoubleMatrix2D(Matrix source) {
		super(source.getRowCount(), source.getColumnCount());
		if (source instanceof HasColumnMajorDoubleArray1D) {
			final double[] data = ((HasColumnMajorDoubleArray1D) source).getColumnMajorDoubleArray1D();
			this.matrix = new DoubleMatrix((int) source.getRowCount(), (int) source.getColumnCount(), data);
		} else if (source instanceof HasRowMajorDoubleArray2D) {
			final double[][] data = ((HasRowMajorDoubleArray2D) source).getRowMajorDoubleArray2D();
			this.matrix = new DoubleMatrix(data);
		} else if (source instanceof DenseDoubleMatrix2D) {
			this.matrix = new DoubleMatrix((int) source.getRowCount(), (int) source.getColumnCount());
			final DenseDoubleMatrix2D m2 = (DenseDoubleMatrix2D) source;
			for (int r = (int) source.getRowCount(); --r >= 0;) {
				for (int c = (int) source.getColumnCount(); --c >= 0;) {
					matrix.put(r, c, m2.getDouble(r, c));
				}
			}
		} else {
			this.matrix = new DoubleMatrix((int) source.getRowCount(), (int) source.getColumnCount());
			for (long[] c : source.availableCoordinates()) {
				setDouble(source.getAsDouble(c), c);
			}
		}
		if (source.getMetaData() != null) {
			setMetaData(source.getMetaData().clone());
		}
	}

	public JBlasDenseDoubleMatrix2D(int rowCount, int columnCount, double[] doubleArray) {
		super(rowCount, columnCount);
		this.matrix = new DoubleMatrix(rowCount, columnCount, doubleArray);
	}

	public Matrix inv() {
		return Inv.INSTANCE.calc(this);
	}

	public Matrix invSPD() {
		return InvSPD.INSTANCE.calc(this);
	}

	public double getDouble(long row, long column) {
		return matrix.get((int) row, (int) column);
	}

	public double getDouble(int row, int column) {
		return matrix.get(row, column);
	}

	public void setDouble(double value, long row, long column) {
		matrix.put((int) row, (int) column, value);
	}

	public void setDouble(double value, int row, int column) {
		matrix.put(row, column, value);
	}

	public DoubleMatrix getWrappedObject() {
		return matrix;
	}

	public final Matrix copy() {
		Matrix m = new JBlasDenseDoubleMatrix2D(matrix.dup());
		if (getMetaData() != null) {
			m.setMetaData(getMetaData().clone());
		}
		return m;
	}

	public Matrix transpose() {
		return new JBlasDenseDoubleMatrix2D(matrix.transpose());
	}

	public Matrix[] lu() {
		return LU.INSTANCE.calc(this);
	}

	public Matrix[] svd() {
		return SVD.INSTANCE.calc(this);
	}

	public Matrix[] eig() {
		return Eig.INSTANCE.calc(this);
	}

	public Matrix chol() {
		return Chol.INSTANCE.calc(this);
	}

	public Matrix mtimes(Matrix m) {
		if (m instanceof JBlasDenseDoubleMatrix2D) {
			DoubleMatrix r = new DoubleMatrix((int) getRowCount(), (int) m.getColumnCount());
			matrix.mmuli(((JBlasDenseDoubleMatrix2D) m).matrix, r);
			return new JBlasDenseDoubleMatrix2D(r);
		} else {
			return super.mtimes(m);
		}
	}

	public Matrix plus(Matrix m) {
		if (m instanceof JBlasDenseDoubleMatrix2D) {
			DoubleMatrix r = new DoubleMatrix((int) getRowCount(), (int) getColumnCount());
			matrix.addi(((JBlasDenseDoubleMatrix2D) m).matrix, r);
			Matrix result = new JBlasDenseDoubleMatrix2D(r);
			MapMatrix a = getMetaData();
			if (a != null) {
				result.setMetaData(a.clone());
			}
			return result;
		} else {
			return super.plus(m);
		}
	}

	public Matrix minus(Matrix m) {
		if (m instanceof JBlasDenseDoubleMatrix2D) {
			DoubleMatrix r = new DoubleMatrix((int) getRowCount(), (int) getColumnCount());
			matrix.subi(((JBlasDenseDoubleMatrix2D) m).matrix, r);
			Matrix result = new JBlasDenseDoubleMatrix2D(r);
			MapMatrix a = getMetaData();
			if (a != null) {
				result.setMetaData(a.clone());
			}
			return result;
		} else {
			return super.minus(m);
		}
	}

	public Matrix times(double value) {
		DoubleMatrix r = new DoubleMatrix((int) getRowCount(), (int) getColumnCount());
		Matrix result = new JBlasDenseDoubleMatrix2D(matrix.muli(value, r));
		MapMatrix a = getMetaData();
		if (a != null) {
			result.setMetaData(a.clone());
		}
		return result;
	}

	public Matrix divide(double value) {
		DoubleMatrix r = new DoubleMatrix((int) getRowCount(), (int) getColumnCount());
		Matrix result = new JBlasDenseDoubleMatrix2D(matrix.divi(value, r));
		MapMatrix a = getMetaData();
		if (a != null) {
			result.setMetaData(a.clone());
		}
		return result;
	}

	public Matrix plus(double value) {
		DoubleMatrix r = new DoubleMatrix((int) getRowCount(), (int) getColumnCount());
		Matrix result = new JBlasDenseDoubleMatrix2D(matrix.addi(value, r));
		MapMatrix a = getMetaData();
		if (a != null) {
			result.setMetaData(a.clone());
		}
		return result;
	}

	public Matrix minus(double value) {
		DoubleMatrix r = new DoubleMatrix((int) getRowCount(), (int) getColumnCount());
		Matrix result = new JBlasDenseDoubleMatrix2D(matrix.subi(value, r));
		MapMatrix a = getMetaData();
		if (a != null) {
			result.setMetaData(a.clone());
		}
		return result;
	}

	public Matrix solve(Matrix b) {
		return Solve.INSTANCE.calc(this, b);
	}

	public JBlasDenseDoubleMatrix2DFactory getFactory() {
		return Factory;
	}

}