/*
        AUTOMATICALLY GENERATED BY jTemp FROM
        /Users/jsh2/Work/openimaj/target/checkout/core/core-feature/src/main/jtemp/org/openimaj/feature/Sparse#T#FV.jtemp
*/
/**
 * 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.
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package org.openimaj.feature;

import java.io.DataInput;
import java.io.DataOutput;
import java.io.IOException;
import java.io.PrintWriter;
import java.util.List;
import java.util.Scanner;

import org.openimaj.util.array.SparseBinSearchLongArray;
import org.openimaj.util.array.SparseLongArray;
import org.openimaj.util.array.SparseLongArray.Entry;
import org.openimaj.util.concatenate.Concatenatable;

/**
 * A sparse one-dimensional feature vector of long-valued elements.
 * 
 * @author Jonathon Hare (jsh2@ecs.soton.ac.uk)
 *
 */
public class SparseLongFV implements FeatureVector, Concatenatable<SparseLongFV, SparseLongFV> {
        private static final long serialVersionUID = 1L;

        /**
         * The underlying data backing the feature vector
         */
        public SparseLongArray values;
        
        /**
         * Construct an empty FV with zero length
         */
        protected SparseLongFV() {
        }

        /**
         * Construct empty FV with given number of bins
         * @param nbins the number of bins in each dimension
         */
        public SparseLongFV(int nbins) {
                values = new SparseBinSearchLongArray(nbins);
        }
        
        /**
         * Construct from sparse array 
         * @param values the array of values
         */
        public SparseLongFV(SparseLongArray values) {
                this.values = values;
        }

        /**
         * Construct from native array
         * @param values the array of values
         */
        public SparseLongFV(long[] values) {
                this.values = new SparseBinSearchLongArray(values);
        }
        
        /* (non-Javadoc)
         * @see org.openimaj.io.ReadableASCII#readASCII(java.util.Scanner)
         */
        @Override
        public void readASCII(Scanner in) throws IOException {
                values = new SparseBinSearchLongArray(0);
                values.readASCII(in);
        }

        /* (non-Javadoc)
         * @see org.openimaj.io.ReadableASCII#asciiHeader()
         */
        @Override
        public String asciiHeader() {
                return "SLongFV";
        }

        /* (non-Javadoc)
         * @see org.openimaj.io.ReadableBinary#readBinary(java.io.DataInput)
         */
        @Override
        public void readBinary(DataInput in) throws IOException {
                values = new SparseBinSearchLongArray(0);
                values.readBinary(in);
        }

        /* (non-Javadoc)
         * @see org.openimaj.io.ReadableBinary#binaryHeader()
         */
        @Override
        public byte[] binaryHeader() {
                return "SLongFV".getBytes();
        }

        /* (non-Javadoc)
         * @see org.openimaj.io.WriteableASCII#writeASCII(java.io.PrintWriter)
         */
        @Override
        public void writeASCII(PrintWriter out) throws IOException {
                values.writeASCII(out);
        }

        /* (non-Javadoc)
         * @see org.openimaj.io.WriteableBinary#writeBinary(java.io.DataOutput)
         */
        @Override
        public void writeBinary(DataOutput out) throws IOException {
                values.writeBinary(out);
        }

        /* (non-Javadoc)
         * @see org.openimaj.feature.FeatureVector#getVector()
         */
        @Override
        public SparseLongArray getVector() {
                return values;
        }

        /* (non-Javadoc)
         * @see org.openimaj.feature.FeatureVector#length()
         */
        @Override
        public int length() {
                return values.length;
        }

        /* (non-Javadoc)
         * @see org.openimaj.feature.FeatureVector#normaliseFV(double[], double[])
         */
        @Override
        public DoubleFV normaliseFV(double [] min, double [] max) {
                double [] dvals = asDoubleVector();

                for (int i=0; i<dvals.length; i++) {
                        dvals[i] -= min[i];
                        dvals[i] /= (max[i]-min[i]);
                        
                        if (dvals[i]<0) dvals[i] = 0;
                        if (dvals[i]>1) dvals[i] = 1;
                }
                
                return new DoubleFV(dvals);
        }
        
        /* (non-Javadoc)
         * @see org.openimaj.feature.FeatureVector#normaliseFV(double, double)
         */
        @Override
        public DoubleFV normaliseFV(double min, double max) {
                double [] dvals = asDoubleVector();

                for (int i=0; i<dvals.length; i++) {
                        dvals[i] -= min;
                        dvals[i] /= (max-min);
                        
                        if (dvals[i]<0) dvals[i] = 0;
                        if (dvals[i]>1) dvals[i] = 1;
                }
                
                return new DoubleFV(dvals);
        }
        
        /* (non-Javadoc)
         * @see org.openimaj.feature.FeatureVector#normaliseFV()
         */
        @Override
        public DoubleFV normaliseFV() {
                double [] dvals = asDoubleVector();
                double sum = 0;

                for (int i=0; i<dvals.length; i++)
                        sum += dvals[i];

                for (int i=0; i<dvals.length; i++)
                        dvals[i] /= sum;
                
                return new DoubleFV(dvals);
        }
        
        /* (non-Javadoc)
         * @see org.openimaj.feature.FeatureVector#normaliseFV(double)
         */
        @Override
        public DoubleFV normaliseFV(double p) {
            return asDoubleFV().normaliseFV(p);
        }

        /* (non-Javadoc)
         * @see org.openimaj.feature.FeatureVector#asDoubleFV()
         */
        @Override
        public DoubleFV asDoubleFV() {
                return new DoubleFV(asDoubleVector());
        }

        /* (non-Javadoc)
         * @see org.openimaj.feature.FeatureVector#asDoubleVector()
         */
        @Override
        public double[] asDoubleVector() {
                double [] d = new double[values.length];
                
                for (Entry e : values.entries()) {
                        d[e.index] = e.value;
                }
                
                return d;
        }
        
        @Override
        public SparseLongFV concatenate(SparseLongFV... ins) {
                SparseLongArray [] insValues = new SparseLongArray[ins.length];
                
                for (int i=0; i<ins.length; i++)
                        insValues[i] = ins[i].values;
                
                SparseLongArray vals = values.concatenate(insValues);
                
                return new SparseLongFV(vals);
        }
        
        @Override
        public SparseLongFV concatenate(List<SparseLongFV> ins) {
                SparseLongArray [] insValues = new SparseLongArray[ins.size()];
                
                for (int i=0; i<ins.size(); i++)
                        insValues[i] = ins.get(i).values;
                
                SparseLongArray vals = values.concatenate(insValues);
                
                return new SparseLongFV(vals);
        }

        @Override
        public double getAsDouble(int i) {
                return values.get(i);
        }

        @Override
        public void setFromDouble(int i, double v) {
                values.set(i, (long) v);
        }

        @Override
        public SparseLongFV newInstance() {
                return new SparseLongFV(length());
        }
}