import java.io.BufferedReader;
import java.io.FileReader;
import java.io.FileWriter;
import java.io.IOException;
import java.io.PrintWriter;
import java.util.StringTokenizer;


public class DancingWithTheGooglers {
	public static void main(String[] args) throws IOException {
		BufferedReader f = new BufferedReader (new FileReader("B-small.in"));
		PrintWriter out = new PrintWriter(new FileWriter("B-small.out"));
		
		int t = Integer.parseInt(f.readLine());
		for (int i = 0; i < t; i++){
			int c = 0;
			StringTokenizer st = new StringTokenizer(f.readLine());
			int n = Integer.parseInt(st.nextToken());
			int[] ti = new int[n];
			int s = Integer.parseInt(st.nextToken());
			int p = Integer.parseInt(st.nextToken());
			for (int j = 0; j < n; j ++){
				ti[j] = Integer.parseInt(st.nextToken());
				if (ti[j] % 3 == 0){
					if (ti[j] / 3 >= p)
						c++;
					else if (ti[j] / 3 == (p-1) && s > 0 && ti[j] >= 2){
						s--;
						c++;
					}
				}
				else if (ti[j] % 3 == 1){
					if ((ti[j] / 3) + 1 >= p)
						c++;					
				}
				else{
					if (ti[j] / 3 >= p-1)
						c++;
					else if (ti[j] / 3 == (p-2) && s > 0){
						s--;
						c++;
					}
				}
					
				
			}
			out.println("Case #" + (i+1) + ": " + c);
			
			
		}
		out.close();
		System.exit(0);
		
		
		
	}
}

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();
	}
}
