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/**
 * Copyright (C) 2010-2018 Gordon Fraser, Andrea Arcuri and EvoSuite
 * contributors
 *
 * This file is part of EvoSuite.
 *
 * EvoSuite 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 3.0 of the License, or
 * (at your option) any later version.
 *
 * EvoSuite 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 Public License for more details.
 *
 * You should have received a copy of the GNU Lesser General Public
 * License along with EvoSuite. If not, see .
 */
package org.evosuite.utils;

import org.evosuite.*;

import java.util.*;
import java.util.Properties;

public abstract class ListUtil {
	/**
	 * tail
	 *
	 * @param list a {@link java.util.List} object.
	 * @param  a T object.
	 * @return a {@link java.util.List} object.
	 */
	public static  List tail(List list) {
		return list.subList(1, list.size());
	}

	/**
	 * anyEquals
	 *
	 * @param list a {@link java.util.List} object.
	 * @param obj a T object.
	 * @param  a T object.
	 * @return a boolean.
	 */
	public static  boolean anyEquals(List list, T obj) {
		for (T item : list) {
			if (item.equals(obj)) {
				return true;
			}
		}
		
		return false;
	}
	
	/**
	 * shuffledList
	 *
	 * @param list a {@link java.util.List} object.
	 * @param  a T object.
	 * @return a {@link java.util.List} object.
	 */
	public static  List shuffledList(List list) {
		ArrayList result = new ArrayList(list);
		Collections.shuffle(result);
		return result;
	}

	/**
	 * shuffledList
	 *
	 * @param list a {@link java.util.List} object.
	 * @param rnd a {@link java.util.Random} object.
	 * @param  a T object.
	 * @return a {@link java.util.List} object.
	 */
	public static  List shuffledList(List list, Random rnd) {
		ArrayList result = new ArrayList(list);
		Collections.shuffle(result, rnd);
		return result;
	}

	private static int getIndex(List population) {
		double r = Randomness.nextDouble();
		double d = org.evosuite.Properties.RANK_BIAS
				- Math.sqrt((org.evosuite.Properties.RANK_BIAS * org.evosuite.Properties.RANK_BIAS)
				- (4.0 * (org.evosuite.Properties.RANK_BIAS - 1.0) * r));
		int length = population.size();

		d = d / 2.0 / (org.evosuite.Properties.RANK_BIAS - 1.0);

		//this is not needed because population is sorted based on Maximization
		//if(maximize)
		//	d = 1.0 - d; // to do that if we want to have Maximisation

		int index = (int) (length * d);
		return index;
	}

	public static  T selectRankBiased(List list) {
		int index = getIndex(list);
		return list.get(index);
	}
}