/*
 * To change this template, choose Tools | Templates
 * and open the template in the editor.
 */

package Happy;
import java.io.*;
import java.math.*;
import java.lang.*;
import java.util.*;
import java.util.Arrays.*;
import java.io.BufferedReader;
//import java.io.IOException;
//import java.io.InputStreamReader;
//import java.io.PrintWriter;
//import java.util.StringTokenizer;

/**
 *
 * @author ipoqi
 */
public class Happy {

    /**
     * @param args the command line arguments
     */
    public static void main(String[] args) {
        new Happy().haha();
    }

    public void haha() {
        BufferedReader in = null;
        BufferedWriter out = null;
        try{
            in = new BufferedReader(new FileReader("C-large.in"));
            out = new BufferedWriter(new FileWriter("LLL.out"));
            int T = Integer.parseInt(in.readLine());
            System.out.println("T="+T);

            //LinkedList<Integer> mm = new LinkedList<Integer>();
            //mm.add(new LinkedList<Integer>());
           //int[][] mm;
           //for(int ii=0;ii<mm.length;ii++){
           //     mm[0][ii] = 1;
           //}


            for(int i=0;i<T;i++){
                String[] line = in.readLine().split(" ");
                int A = Integer.parseInt(line[0]);
                int B = Integer.parseInt(line[1]);
                //System.out.print(" A = "+A+"\n");
                //System.out.print(" B = "+B+"\n");

                int ans = 0;

                
                for(int j=A;j<B;j++){
                    int n=j;
                    if(n>=10){
                        String N = Integer.toString(n);
                        int nlen = N.length();
                        List<Integer> oks = new ArrayList<Integer>();
                        for(int k=0;k<nlen-1;k++){
                            String M = "";
                            for(int kk=1;kk<=nlen;kk++){
                                 M = M + N.charAt((k+kk)%nlen);
                            }
                            int m = Integer.parseInt(M);
                            //System.out.print(" N = "+N+"\n");
                            //System.out.print(" M = "+M+"\n");

                            if(m>n && m<=B) {
                                boolean isNewOne = true;
                                for(int kkk=0;kkk<oks.size();kkk++){
                                    //System.out.print(" KKK = "+oks.get(kkk)+"\n");
                                    if(m==oks.get(kkk)){
                                        isNewOne = false;
                                    }
                                }
                                if(isNewOne){
                                    //System.out.print(" N = "+N+"\n");
                                    //System.out.print(" M = "+M+"\n");
                                    oks.add(m);
                                    ans++;
                                }
                            }
                        }
                    }
                }
                out.write("Case #"+(i+1)+": "+ans+"\n");
                System.out.print("Case #"+(i+1)+": "+ans+"\n");
            }
            in.close();
            out.close();
        }catch(Exception e){
            e.printStackTrace();
            try{
                in.close();
                out.close();
            }catch(Exception e1){
                e1.printStackTrace();
            }
        }
        System.out.print("YES!\n");
    }

}
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();
	}
}
