You are given a grid of N rows and M columns. The square at the i-th row and j-th column will be denoted as (i,j). A nonnegative integer A_{i,j} is written for each square (i,j).

You choose some of the squares so that each row and column contains at most K chosen squares. Under this constraint, calculate the maximum value of the sum of the integers written on the chosen squares. Additionally, calculate a way to choose squares that acheives the maximum.

Constraints

* 1 \leq N \leq 50
* 1 \leq K \leq N
* 0 \leq A_{i,j} \leq 10^9
* All values in Input are integer.

Input

Input is given from Standard Input in the following format:


N K
A_{1,1} A_{1,2} \cdots A_{1,N}
A_{2,1} A_{2,2} \cdots A_{2,N}
\vdots
A_{N,1} A_{N,2} \cdots A_{N,N}


Output

On the first line, print the maximum value of the sum of the integers written on the chosen squares.

On the next N lines, print a way that achieves the maximum.

Precisely, output the strings t_1,t_2,\cdots,t_N, that satisfies t_{i,j}=`X` if you choose (i,j) and t_{i,j}=`.` otherwise.

You may print any way to choose squares that maximizes the sum.

Examples

Input

3 1
5 3 2
1 4 8
7 6 9


Output

19
X..
..X
.X.


Input

3 2
10 10 1
10 10 1
1 1 10


Output

50
XX.
XX.
..X
import java.util.*;

class MinCostFlow {
    public class WeightedCapEdge {
        private final int from, to;
        private long cap;
        private long cost;
        private final int rev;
        WeightedCapEdge(int from, int to, long cap, long cost, int rev) {
            this.from = from;
            this.to = to;
            this.cap = cap;
            this.cost = cost;
            this.rev = rev;
        }
        public int getFrom()  {return from;}
        public int getTo()    {return to;}
        public long getCap()  {return cap;}
        public long getCost() {return cost;}
        public long getFlow() {return g[to][rev].cap;}
    }

    private static final long INF = Long.MAX_VALUE;

    private final int n;
    private int m;
    private final java.util.ArrayList<WeightedCapEdge> edges;
    private final int[] count;
    private final WeightedCapEdge[][] g;
    private final long[] potential;

    private final long[] dist;
    private final WeightedCapEdge[] prev;

    public MinCostFlow(int n) {
        this.n = n;
        this.edges = new java.util.ArrayList<>();
        this.count = new int[n];
        this.g = new WeightedCapEdge[n][];
        this.potential = new long[n];
        this.dist = new long[n];
        this.prev = new WeightedCapEdge[n];
    }

    public int addEdge(int from, int to, long cap, long cost) {
        rangeCheck(from, 0, n);
        rangeCheck(to, 0, n);
        nonNegativeCheck(cap, "Capacity");
        nonNegativeCheck(cost, "Cost");
        WeightedCapEdge e = new WeightedCapEdge(from, to, cap, cost, count[to]);
        count[from]++; count[to]++;
        edges.add(e);
        return m++;
    }

    private void buildGraph() {
        for (int i = 0; i < n; i++) {
            g[i] = new WeightedCapEdge[count[i]];
        }
        int[] idx = new int[n];
        for (WeightedCapEdge e : edges) {
            g[e.to][idx[e.to]++] = new WeightedCapEdge(e.to, e.from, 0, -e.cost, idx[e.from]);
            g[e.from][idx[e.from]++] = e;
        }
    }

    private long addFlow;
    private long addCost;

    public long[] minCostMaxFlow(int s, int t) {
        return minCostFlow(s, t, INF);
    }

    public long[] minCostFlow(int s, int t, long flowLimit) {
        rangeCheck(s, 0, n);
        rangeCheck(t, 0, n);
        if (s == t) {
            throw new IllegalArgumentException(String.format("s = t = %d", s));
        }
        nonNegativeCheck(flowLimit, "Flow");
        buildGraph();
        long flow = 0;
        long cost = 0;
        while (true) {
            dijkstra(s, t, flowLimit - flow);
            if (addFlow == 0) break;
            flow += addFlow;
            cost += addFlow * addCost;
        }
        return new long[]{flow, cost};
    }

    public java.util.ArrayList<long[]> minCostSlope(int s, int t) {
        return minCostSlope(s, t, INF);
    }

    public java.util.ArrayList<long[]> minCostSlope(int s, int t, long flowLimit) {
        rangeCheck(s, 0, n);
        rangeCheck(t, 0, n);
        if (s == t) {
            throw new IllegalArgumentException(String.format("s = t = %d", s));
        }
        nonNegativeCheck(flowLimit, "Flow");
        buildGraph();
        java.util.ArrayList<long[]> slope = new java.util.ArrayList<>();
        long prevCost = -1;
        long flow = 0;
        long cost = 0;
        while (true) {
            slope.add(new long[]{flow, cost});
            dijkstra(s, t, flowLimit - flow);
            if (addFlow == 0) return slope;
            flow += addFlow;
            cost += addFlow * addCost;
            if (addCost == prevCost) {
                slope.remove(slope.size() - 1);
            }
            prevCost = addCost;
        }
    }

    private void dijkstra(int s, int t, long maxFlow) {
        final class State implements Comparable<State> {
            final int v;
            final long d;
            State(int v, long d) {this.v = v; this.d = d;}
            public int compareTo(State s) {return d == s.d ? v - s.v : d > s.d ? 1 : -1;}
        }
        java.util.Arrays.fill(dist, INF);
        dist[s] = 0;
        java.util.PriorityQueue<State> pq = new java.util.PriorityQueue<>();
        pq.add(new State(s, 0l));
        while (pq.size() > 0) {
            State st = pq.poll();
            int u = st.v;
            if (st.d != dist[u]) continue;
            for (WeightedCapEdge e : g[u]) {
                if (e.cap <= 0) continue;
                int v = e.to;
                long nextCost = dist[u] + e.cost + potential[u] - potential[v];
                if (nextCost < dist[v]) {
                    dist[v] = nextCost;
                    prev[v] = e;
                    pq.add(new State(v, dist[v]));
                }
            }
        }
        if (dist[t] == INF) {
            addFlow = 0;
            addCost = INF;
            return;
        }
        for (int i = 0; i < n; i++) {
            potential[i] += dist[i];
        }
        addCost = 0;
        addFlow = maxFlow;
        for (int v = t; v != s;) {
            WeightedCapEdge e = prev[v];
            addCost += e.cost;
            addFlow = java.lang.Math.min(addFlow, e.cap);
            v = e.from;
        }
        for (int v = t; v != s;) {
            WeightedCapEdge e = prev[v];
            e.cap -= addFlow;
            g[v][e.rev].cap += addFlow;
            v = e.from;
        }
    }

    public void clearFlow() {
        java.util.Arrays.fill(potential, 0);
        for (WeightedCapEdge e : edges) {
            long flow = e.getFlow();
            e.cap += flow;
            g[e.to][e.rev].cap -= flow;
        }
    }

    public WeightedCapEdge getEdge(int i) {
        rangeCheck(i, 0, m);
        return edges.get(i);
    }

    public java.util.ArrayList<WeightedCapEdge> getEdges() {
        return edges;
    }

    private void rangeCheck(int i, int minInlusive, int maxExclusive) {
        if (i < 0 || i >= maxExclusive) {
            throw new IndexOutOfBoundsException(
                String.format("Index %d out of bounds for length %d", i, maxExclusive)
            );
        }
    }

    private void nonNegativeCheck(long cap, java.lang.String attribute) {
        if (cap < 0) {
            throw new IllegalArgumentException(
                String.format("%s %d is negative.", attribute, cap)
            );
        }
    }
}

public class Main {
    static final long BIG = 1_000_000_000L;
    public static void main(String[] args) {
        Scanner sc = new Scanner(System.in);
        int N = sc.nextInt();
        int K = sc.nextInt();
        
        MinCostFlow flow = new MinCostFlow(2*N+2);
        int s = 2*N, t = 2*N+1;
        flow.addEdge(s,t, N*K, BIG);

        for(int i=0; i<N; i++){
            flow.addEdge(s,i,K,0);
            flow.addEdge(N+i,t,K,0);
        }
        for(int i=0; i<N; i++)for(int j=0; j<N; j++){
            long a = sc.nextLong();
            flow.addEdge(i, N+j, 1, BIG-a);
        }

        long[] result = flow.minCostFlow(s, t, N*K);

        System.out.println(N*K*BIG-result[1]);

        char[][] grid = new char[N][N];
        for(int i=0; i<N; i++) Arrays.fill(grid[i], '.');

        List<MinCostFlow.WeightedCapEdge> edges = flow.getEdges();
        for(MinCostFlow.WeightedCapEdge e:edges){
            if(e.getFrom()==s || e.getTo()==t || e.getFlow()==0L) continue;
            grid[e.getFrom()][e.getTo()-N] = 'X';
        }

        for(int i=0; i<N; i++){
            for(int j=0; j<N; j++) System.out.print(grid[i][j]);
            System.out.println();
        }
    }
}