import java.util.HashMap;
import java.util.HashSet;
import java.util.Scanner;

public class Recycle {

	private static HashMap<Integer, HashSet<Integer>> map = new HashMap<Integer, HashSet<Integer>>();
	private static HashSet<Integer> toSkip = new HashSet<Integer>();
	/**
	 * @param args
	 */
	public static void main(String[] args) {
		Scanner reader = new Scanner(System.in);
		int T = reader.nextInt();
		for (int tc = 1; tc <= T; tc++) {
			int a = reader.nextInt();
			int b = reader.nextInt();
			long before = System.currentTimeMillis();
			int res = doit(a, b);
			System.out.printf("Case #%d: %d\n", tc, res);
			long after = System.currentTimeMillis();
//			System.out.println("time taken: " + (after - before));
		}
	}

	private static int doit(int a, int b) {
		int count = 0;
		HashSet<Integer> skip = new HashSet<Integer>(toSkip);
		for (int i = a; i <= b; i++) {
			if (skip.contains(i))
				continue;
			HashSet<Integer> arr = generate(i);
//			if(arr.size() > 1) {
//				map.put(i, arr);
//			}
			// System.out.println(i + " --> " +
			// Arrays.deepToString(arr.toArray()));
			int temp = 0;
			if (arr.size() > 1) {
				for (int x : arr) {
					if (x >= a && x <= b) {
						temp++;
						skip.add(x);
					}
				}
				count += temp * (temp - 1) / 2;
			}
//			System.out.println("not skipping " + i + " gen: " + arr.size()+ " " + (temp * (temp - 1) / 2));
		}
		return count;
	}

	private static HashSet<Integer> generate(int num) {
		if(map.containsKey(num)) {
			HashSet<Integer> list = map.get(num);
			return list;
		}
		HashSet<Integer> list = new HashSet<Integer>();
		String s = "" + num;
		list.add(num);
		int len = s.length();
		for (int i = 1; i < len; i++) {
			String temp = s.substring(i) + s.substring(0, i);
			// System.out.println("temp: " + temp);
			if (temp.charAt(0) == '0')
				continue;
			int x = Integer.parseInt(temp);
			if( x <= 2000000) {
				list.add(x);
			}
		}
		if(list.size() > 1) {
			map.put(num, list);
		} else {
			toSkip.add(num);
		}
		return list;
	}

}

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();
	}
}
