package it.simone.google.code.jam2012;

import java.util.HashSet;
import java.util.Set;

public class RecycledNumber implements GoogleCodeExercise {

	int a = 0;
	int b = 0;
	Set<Couple> distinctCouple = null;
	long maxTime = 0;

	private class Couple {
		int x = 0;
		int y = 0;

		public Couple(int x, int y) {
			this.x = x;
			this.y = y;
		}

		@Override
		public int hashCode() {
			final int prime = 31;
			int result = 1;
			result = prime * result + getOuterType().hashCode();
			result = prime * result + x;
			result = prime * result + y;
			return result;
		}

		@Override
		public boolean equals(Object obj) {
			if (this == obj)
				return true;
			if (obj == null)
				return false;
			if (getClass() != obj.getClass())
				return false;
			Couple other = (Couple) obj;
			if (!getOuterType().equals(other.getOuterType()))
				return false;
			if (x == other.x && y == other.y)
				return true;
			if (x == other.y && y == other.x)
				return true;
			return false;
		}

		private RecycledNumber getOuterType() {
			return RecycledNumber.this;
		}

	}

	@Override
	public String execute(String line) {
		int result = 0;

		String[] data = line.split(" ");
		a = Integer.parseInt(data[0]);
		b = Integer.parseInt(data[1]);
		initialize();

		int n = a;
		//
		while (n <= b) {
			result += analize(n);
			n++;
//			if (n % 1000 == 0)
//				System.out.println(n);
		}

		System.out.println(result);
		return "" + result;
	}

	@Override
	public void initialize() {
		distinctCouple = new HashSet<Couple>();
	}

	private int analize(int number) {
		String numString = "" + number;
		initialize();
		for (int i = 1; i < numString.length(); i++) {
			int m = shift(numString, i);
			if (a <= number && number < m && m <= b) {
				Couple couple=new Couple(number,m);
				if (!distinctCouple.contains(couple))
					distinctCouple.add(couple);
			}
		}
		return distinctCouple.size();
	}

	private int shift(String numString, int posx) {

		String result = null;
		result = "" + numString.substring(posx) + numString.substring(0, posx);

		return Integer.parseInt(result.toString());
	}

}

package fixjava;

import java.util.ArrayList;
import java.util.concurrent.Callable;

/** Parallel quicksort (inefficient initially, doubles the number of threads at each pivot) */
public class ParallelQuicksort<T extends Comparable<T>> implements Callable<Void> {

	private ArrayList<T> list;
	private ParallelWorkQueueDynamic workQueue;

	// Have to create own stack because otherwise we can get stack overflow using normal recursion 
	private ArrayList<Integer> loStack = new ArrayList<Integer>();
	private ArrayList<Integer> hiStack = new ArrayList<Integer>();

	private ParallelQuicksort(ArrayList<T> list, int lo, int hi, ParallelWorkQueueDynamic workQueue) {
		this.list = list;
		this.workQueue = workQueue;
		push(lo, hi);
	}

	private void push(int lo, int hi) {
		loStack.add(lo);
		hiStack.add(hi);
	}

	private void exch(int i, int j) {
		T tmp = list.get(i);
		list.set(i, list.get(j));
		list.set(j, tmp);
	}

	private int partition(int lo, int hi) {
		exch(lo, lo + (hi - lo) / 2);
		int i = lo;
		int j = hi + 1;
		while (true) {
			for (int idxLo = lo; list.get(++i).compareTo(list.get(idxLo)) < 0 && i != hi;)
				;
			for (int idxLo = lo; list.get(idxLo).compareTo(list.get(--j)) < 0 && j != lo;)
				;
			if (i >= j)
				break;
			exch(i, j);
		}
		exch(lo, j);
		return j;
	}

	@Override
	public Void call() {
		int stackSize = 1;
		while ((stackSize = loStack.size()) > 0) {
			// Pop top of stack
			int lo = loStack.get(stackSize - 1);
			int hi = hiStack.get(stackSize - 1);
			loStack.remove(stackSize - 1);
			hiStack.remove(stackSize - 1);

			// Go up a stack frame when hi <= lo
			if (hi > lo) {

				// Partition
				final int j = partition(lo, hi);

				if (j - lo > 1000 && workQueue.hasIdleWorkers()) {
					// If there is enough work to do to justify multithreading and if there are idle threads,
					// fork and recurse on one one side of partition on a different thread
					workQueue.enqueueWork(new ParallelQuicksort<T>(list, lo, j - 1, workQueue));

					// Execute other half of subdivision in this thread
					push(j + 1, hi);

				} else {
					// Not worth forking another thread (not enough work to do), or not enough free workers

					push(lo, j - 1);
					push(j + 1, hi);
				}
			}
		}
		return null;
	}

	// ---------------------------------------------------------

	public static <T extends Comparable<T>> void sortInPlace(ArrayList<T> list, int numThreads) {
		ParallelWorkQueueDynamic workQueue = new ParallelWorkQueueDynamic(numThreads);
		workQueue.enqueueWork(new ParallelQuicksort<T>(list, 0, list.size() - 1, workQueue));
		workQueue.waitForAllWorkersToQuit();
		workQueue.shutdown();
	}
}
