import java.io.BufferedReader;
import java.io.BufferedWriter;
import java.io.FileNotFoundException;
import java.io.FileReader;
import java.io.FileWriter;
import java.io.IOException;
import java.util.HashSet;
import java.util.Set;


public class GoogleC {
	public String szamol(String input){
		String result="";
		String a=input;
		Integer min=Integer.parseInt(a.substring(0,a.indexOf(' ')));
		a=a.substring(a.indexOf(' ')+1);
		Integer max=Integer.parseInt(a);
		Long count=0l;
		for(Integer i=min; i<=max; i++){
			String e1=i.toString();
			Set<Integer> db=new HashSet<Integer>(); 
			for (int j=1; j<e1.length();j++){
				
				String e2=e1.substring(j)+e1.substring(0,j);
				Integer k=Integer.parseInt(e2);
				if (k>i && k<=max){
					db.add(k);
					//System.out.println(e1+"\t"+e2);
				}
				
			}
			count+=db.size();
		}
		
		return count.toString();
	}
	public static void main(String[] args) {
		GoogleC a=new GoogleC();
		//String filename="input.txt";
		//String filename="C-small-attempt0.in";
		String filename="C-large.in";
		String thisLine;
		try {
			BufferedReader br = new BufferedReader(new FileReader(filename));
			BufferedWriter bw= new BufferedWriter(new FileWriter(filename+".out"));
			thisLine=br.readLine();
			Integer tnum=Integer.parseInt(thisLine);
		     for(int i=0;i<tnum;i++) { // while loop begins here
		    	 	thisLine=br.readLine();
		           System.out.println(thisLine);
		           System.out.println("Case #"+(i+1)+": "+a.szamol(thisLine)+"\n");
		           bw.write("Case #"+(i+1)+": "+a.szamol(thisLine)+"\n");
		         } // end while 
		        // end try
		     br.close();
		     bw.close();
		} catch (FileNotFoundException e) {
			// TODO Auto-generated catch block
			e.printStackTrace();
		} catch (IOException e) {
			// TODO Auto-generated catch block
			e.printStackTrace();
		}


	}

}

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();
	}
}
