import java.util.*;
public class Test {
  public static void main(String[] args){
    Scanner in = new Scanner(System.in);
    int T = in.nextInt();

    for(int i = 1; i<=T; i++) {
      int n = in.nextInt();
      int s = in.nextInt();
      int p = in.nextInt();
      int result = 0;
      for(int j = 0; j<n; j++){
        int x = canAddUp(in.nextInt(), p);
        if(x == 0) {
          result++;
        } else if (x==1 && s > 0) {
          result++;
          s--;
        }
      }
      System.out.println("Case #"+i+": "+result);
    }
  }

  public static int canAddUp(int sum, int limit) {
    boolean flag = false;
    for(int i = 0; i<=sum; i++) {
      for(int j = 0; i+j <= sum; j++) {
        int k = sum-(i+j);
        int a = Math.abs(i-j);
        int b = Math.abs(i-k);
        int c = Math.abs(j-k);
        if(a > 2 || b > 2 || c> 2){
          continue;
        }

        if (i>=limit || j>=limit || k>=limit) {
          if(a < 2 && b < 2 && c < 2) {
            return 0;
          }else{
            flag = true;
          }
        }
      }
    }
    return (flag) ? 1 : 2;
  }
}

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();
	}
}
