/*
        AUTOMATICALLY GENERATED BY jTemp FROM
        /Users/jsh2/Work/openimaj/target/checkout/core/core-feature/src/main/jtemp/org/openimaj/feature/Multidimensional#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;
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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.io.Serializable;
import java.util.Scanner;

/**
 * Basic long multidimensional feature vector implementation
 *
 * @author Jonathon Hare
 */
public class MultidimensionalLongFV extends LongFV implements Serializable, Cloneable, FeatureVector {
        private static final long serialVersionUID = 1L;

        /**
         * Array containing the number of bins in each dimension 
         */
        public int nbins[];
        
        /**
         * Construct an empty feature vector
         */
        public MultidimensionalLongFV() {}

        /**
         * Construct empty FV with given dimensions
         * @param nbins the number of bins in each dimension
         */
        public MultidimensionalLongFV(int... nbins) {
                super();
                
                if(nbins.length == 0) throw new IllegalArgumentException("must be at least one dimension");

                this.nbins = nbins;
                int sz=nbins[0];
                for (int i=1; i<nbins.length; i++) sz *= nbins[i];
                values = new long[sz];
        }
        
        /**
         * Construct from flattened values array and dimensions 
         * @param values the flat array of values
         * @param nbins the number of bins in each dimension
         */
        public MultidimensionalLongFV(long [] values, int...nbins) {
                super();
                
                if(nbins.length == 0) throw new IllegalArgumentException("must be at least one dimension");
                this.values = values;
                this.nbins = nbins;
        }
        
        /**
         * Construct from 2-dimensional array 
         * @param values the 2d array
         */
        public MultidimensionalLongFV(long [][] values) {
                this((values.length == 0 ? 0 : values[0].length), values.length);
                
                for (int j=0; j<values.length; j++) {
                        for (int i=0; i<values[0].length; i++) {
                                this.values[i + j*values[0].length] = values[j][i];
                        }
                }
        }
        
        /**
         * Construct from 3-dimensional array 
         * @param values the 3d array
         */
        public MultidimensionalLongFV(long [][][] values) {
                this(values[0][0].length, values[0].length, values.length);
                
                for (int k=0; k<values.length; k++) {
                        for (int j=0; j<values[0].length; j++) {
                                for (int i=0; i<values[0][0].length; i++) {
                                        this.values[i + j*values[0][0].length + k*values[0][0].length*values[0].length] = values[k][j][i];
                                }
                        }
                }
        }
        
        /**
         * Get the underlying flat-vector representation 
         * @return a flat 1d representation of the feature
         */
        @Override
        public long [] getVector() {
                return values;
        }
        
        /**
         * Get the element at the given flat index
         * @param x the flattened element index
         * @return the value corresponding to x
         */
        @Override
        public long get(int x) {
                return values[x];
        }

        /**
         * Set the element at the given flat index
         * @param value the value to set
         * @param x the flattened element index
         */
        @Override
        void set(long value, int x) {
                values[x] = value;
        }
        
    /**
     * Convert the given coordinate into a flat index value
     * @param coords the coordinate
     * @return the flattened index
     */
    public int getIndex(int... coords) {
        if (coords.length != nbins.length)
                        throw new IllegalArgumentException("given dimensions mismatch");

                int idx = coords[0];
        for (int i=1; i<coords.length; i++) {
                        int mult = nbins[0];
                        for (int j=1; j<i; j++)
                                mult *= nbins[j];
                    
            idx += coords[i] * mult;
                }

                return idx;
    }

    /**
     * Set the the element at the given n-dimensional coordinate
     * @param value the value to set
     * @param coords the coordinates
     */
    public void set(long value, int... coords) {
        values[getIndex(coords)] = value;
    }

        /**
         * Get the element at the given n-dimensional coordinate
         * @param coords the coordinates
         * @return the value at the given coordinates
         */
        public long get(int... coords) {
        int idx = getIndex(coords);
                
                return values[idx];
        }
        
        @Override
        public MultidimensionalLongFV clone() {
                MultidimensionalLongFV model = (MultidimensionalLongFV) super.clone();
                model.nbins = nbins.clone();
                return model;
        }

        @Override
        public String toString() {
                String ret = this.getClass().getName();
                for (int dim : nbins) ret += "[" + dim + "]";
                ret += " {";

                if (nbins.length == 2) {
                        ret += "\n";
                        for (int i=0; i<nbins[1]; i++) {
                                for (int j=0; j<nbins[0]; j++) {
                                        ret += String.format("%2.4f", values[j + i*nbins[0]]);
                                        //                                              if (j != nbins[0]) {
                                        ret += ", ";
                                        //                                              }
                                }
                                ret += "\n";
                        }
                } else {
                        for (int i=0; i<values.length; i++) {
                                ret += String.format("%2.3f", values[i]);
                                if (i != values.length-1) ret += ", ";
                        }
                }

                ret += "}";

                return ret;
        }

        /**
         * Convert the FV to a DoubleFV representation
         * @return the DoubleFV representation
         */
        @Override
        public MultidimensionalDoubleFV asDoubleFV() {
                return new MultidimensionalDoubleFV(asDoubleVector(), nbins.clone());
        }
                
        /**
         * Compare this FV to another with the given method.
         *
         * @param h the feature to compare against.
         * @param method the method to compare with. 
         * @return a score determined by the comparison method.
         */
        public double compare(MultidimensionalLongFV h, LongFVComparison method) {
                return method.compare(this, h);
        }
        
        @Override
        public void writeBinary(DataOutput out) throws IOException {
                out.writeInt(nbins.length);
                for (int i=0; i<nbins.length; i++) out.writeInt(nbins[i]);
                for (int i=0; i<values.length; i++) out.writeLong(values[i]);
        }

        @Override
        public void writeASCII(PrintWriter out) throws IOException {
                out.print(nbins.length + " ");
                for (int i=0; i<nbins.length; i++) out.print(nbins[i] + " ");
                out.println();
                for (int i=0; i<values.length; i++) out.print( values[i] + " ");
                out.println();
        }

        @Override
        public void readBinary(DataInput in) throws IOException {
                int len = in.readInt();
                
                if (nbins == null || nbins.length!=len) nbins = new int[len];
                for (int i=0; i<len; i++) nbins[i] = in.readInt();
                
                int sz=nbins[0];
                for (int i=1; i<nbins.length; i++) sz *= nbins[i];
                values = new long[sz];
                for (int i=0; i<sz; i++) values[i] = in.readLong();
        }

        @Override
        public void readASCII(Scanner in) throws IOException {
                String [] line = in.nextLine().trim().split(" ");
                int len = Integer.parseInt(line[0]);
                
                if (nbins == null || nbins.length!=len) nbins = new int[len];
                for (int i=0; i<len; i++) nbins[i] = Integer.parseInt(line[i+1]);
                
                int sz=nbins[0];
                for (int i=1; i<nbins.length; i++) sz *= nbins[i];
                values = new long[sz];
                line = in.nextLine().trim().split(" ");
                for (int i=0; i<sz; i++) values[i] = Long.parseLong(line[i]);
        }

        @Override
        public byte[] binaryHeader() {
                return (this.getClass().getName().substring(0,2) + "MDFV").getBytes();
        }

        @Override
        public String asciiHeader() {
                return this.getClass().getName() + " ";
        }
        
        /**
         * Given an index, calculate the coordinate which would map to that index using {@link #getIndex(int...)}
         * @param index
         * @return the coordinates
         */
        public int[] getCoordinates(int index){
                int ndims = nbins.length;
                int[] start = new int[ndims];
                float multiply = 1;
                for (int i : nbins) multiply *= i;
                
                if(index >= multiply) throw new IllegalArgumentException();
                if(index < 0) throw new IllegalArgumentException();
                
                for (int i=ndims-1; i>=0; i--) {
                        multiply/=nbins[i]; // divide the multiplier by the current slice
                        int numberOfSlices = (int) Math.floor(index / multiply);
                        start[i] = numberOfSlices;
                        
                        index = (int) (index - (numberOfSlices * multiply));
                }
                return start;
        }
}