/**
 * Copyright (c) 2011, The University of Southampton and the individual contributors.
 * All rights reserved.
 *
 * Redistribution and use in source and binary forms, with or without modification,
 * are permitted provided that the following conditions are met:
 *
 *   *  Redistributions of source code must retain the above copyright notice,
 *      this list of conditions and the following disclaimer.
 *
 *   *  Redistributions in binary form must reproduce the above copyright notice,
 *      this list of conditions and the following disclaimer in the documentation
 *      and/or other materials provided with the distribution.
 *
 *   *  Neither the name of the University of Southampton nor the names of its
 *      contributors may be used to endorse or promote products derived from this
 *      software without specific prior written permission.
 *
 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
 * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
 * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
 * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
 * ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
 * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
 * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
 * ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
 * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
 * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 */
package org.openimaj.ml.linear.learner.init;

import gov.sandia.cognition.math.matrix.Matrix;
import gov.sandia.cognition.math.matrix.mtj.SparseMatrixFactoryMTJ;

/**
 * Completely ignores desired dimensions and returns the first
 * Y value seen
 * @author Sina Samangooei (ss@ecs.soton.ac.uk)
 *
 */
public class FirstValueInitStrat extends AbstractContextAwareInitStrategy<Matrix,Matrix>{

        @Override
        public Matrix init(int rows, int cols) {
                int mrows = y.getNumRows();
                int mcols = y.getNumColumns();
                if(mrows == rows && mcols == cols) return y;

                if(rows == cols && mcols == rows){
                        Matrix retMat = SparseMatrixFactoryMTJ.getSparseDefault().createMatrix(rows, rows);
                        for (int i = 0; i < mcols; i++) {
                                retMat.setElement(i, i, y.getElement(0, i));
                        }
                        return retMat;
                }
                return y;
        }
}