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/*
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* Copyright (c) 2020 Lewys Davies
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to deal
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* in the Software without restriction, including without limitation the rights
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* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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* copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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package com.lewdev.probabilitylib;
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import java.util.Comparator;
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import java.util.Iterator;
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import java.util.NavigableSet;
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import java.util.Objects;
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import java.util.SplittableRandom;
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import java.util.TreeSet;
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/**
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* ProbabilityCollection for retrieving random elements based on probability.
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* <br>
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* <br>
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* <b>Selection Algorithm Implementation</b>:
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* <p>
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* <ul>
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* <li>Elements have a "block" of space, sized based on their probability share
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* <li>"Blocks" start from index 1 and end at the total probability of all
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* elements
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* <li>A random number is selected between 1 and the total probability
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* <li>Which "block" the random number falls in is the element that is selected
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* <li>Therefore "block"s with larger probability have a greater chance of being
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* selected than those with smaller probability.
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* </p>
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* </ul>
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*
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* @author Lewys Davies
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* @version 0.8
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*
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* @param <E> Type of elements
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*/
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public final class ProbabilityCollection<E> {
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private final NavigableSet<ProbabilitySetElement<E>> collection;
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private final SplittableRandom random = new SplittableRandom();
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private int totalProbability;
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/**
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* Construct a new Probability Collection
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*/
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public ProbabilityCollection() {
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this.collection = new TreeSet<>(Comparator.comparingInt(ProbabilitySetElement::getIndex));
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this.totalProbability = 0;
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}
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/**
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* @return Number of objects inside the collection
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*/
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public int size() {
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return this.collection.size();
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}
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/**
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* @return True if collection contains no elements, else False
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*/
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public boolean isEmpty() {
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return this.collection.isEmpty();
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}
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/**
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* @param <E> object
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* @return True if collection contains the object, else False
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* @throws IllegalArgumentException if object is null
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*/
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public boolean contains(E object) {
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if (object == null) {
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throw new IllegalArgumentException("Cannot check if null object is contained in this collection");
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}
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return this.collection.stream().anyMatch(entry -> entry.getObject().equals(object));
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}
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/**
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* @return Iterator over this collection
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*/
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public Iterator<ProbabilitySetElement<E>> iterator() {
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return this.collection.iterator();
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}
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/**
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* Add an object to this collection
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*
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* @param <E> object. Not null.
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* @param probability share. Must be greater than 0.
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*
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* @throws IllegalArgumentException if object is null
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* @throws IllegalArgumentException if probability <= 0
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*/
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public void add(E object, int probability) {
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if (object == null) {
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throw new IllegalArgumentException("Cannot add null object");
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}
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if (probability <= 0) {
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throw new IllegalArgumentException("Probability must be greater than 0");
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}
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ProbabilitySetElement<E> entry = new ProbabilitySetElement<E>(object, probability);
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entry.setIndex(this.totalProbability + 1);
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this.collection.add(entry);
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this.totalProbability += probability;
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}
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/**
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* Remove a object from this collection
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*
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* @param <E> object
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* @return True if object was removed, else False.
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*
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* @throws IllegalArgumentException if object is null
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*/
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public boolean remove(E object) {
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if (object == null) {
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throw new IllegalArgumentException("Cannot remove null object");
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}
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Iterator<ProbabilitySetElement<E>> it = this.iterator();
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boolean removed = false;
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// Remove all instances of the object
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while (it.hasNext()) {
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ProbabilitySetElement<E> entry = it.next();
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if (entry.getObject().equals(object)) {
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this.totalProbability -= entry.getProbability();
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it.remove();
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removed = true;
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}
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}
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// Recalculate remaining elements "block" of space: i.e 1-5, 6-10, 11-14
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if (removed) {
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int previousIndex = 0;
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for (ProbabilitySetElement<E> entry : this.collection) {
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previousIndex = entry.setIndex(previousIndex + 1) + (entry.getProbability() - 1);
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}
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}
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return removed;
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}
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/**
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* Remove all objects from this collection
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*/
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public void clear() {
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this.collection.clear();
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this.totalProbability = 0;
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}
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/**
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* Get a random object from this collection, based on probability.
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*
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* @return <E> Random object
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*
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* @throws IllegalStateException if this collection is empty
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*/
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public E get() {
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if (this.isEmpty()) {
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throw new IllegalStateException("Cannot get an object out of a empty collection");
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}
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ProbabilitySetElement<E> toFind = new ProbabilitySetElement<>(null, 0);
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toFind.setIndex(this.random.nextInt(1, this.totalProbability + 1));
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return Objects.requireNonNull(this.collection.floor(toFind).getObject());
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}
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/**
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* @return Sum of all element's probability
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*/
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public int getTotalProbability() {
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return this.totalProbability;
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}
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/**
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* Used internally to store information about a object's state in a collection.
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* Specifically, the probability and index within the collection.
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*
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* Indexes refer to the start position of this element's "block" of space. The
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* space between element "block"s represents their probability of being selected
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*
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* @author Lewys Davies
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*
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* @param <T> Type of element
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*/
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public final static class ProbabilitySetElement<T> {
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private final T object;
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private final int probability;
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private int index;
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/**
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* @param <T> object
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* @param probability share within the collection
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*/
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protected ProbabilitySetElement(T object, int probability) {
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this.object = object;
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this.probability = probability;
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}
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/**
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* @return <T> The actual object
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*/
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public T getObject() {
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return this.object;
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}
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/**
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* @return Probability share in this collection
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*/
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public int getProbability() {
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return this.probability;
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}
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// Used internally, see this class's documentation
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private int getIndex() {
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return this.index;
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}
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// Used Internally, see this class's documentation
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private int setIndex(int index) {
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this.index = index;
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return this.index;
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}
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}
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}
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