Problem: BigData Inc. is a corporation that has n data centers indexed from 1 to n that are located all over the world. These data centers provide storage for client data (you can figure out that client data is really big!).

Main feature of services offered by BigData Inc. is the access availability guarantee even under the circumstances of any data center having an outage. Such a guarantee is ensured by using the two-way replication. Two-way replication is such an approach for data storage that any piece of data is represented by two identical copies that are stored in two different data centers.

For each of m company clients, let us denote indices of two different data centers storing this client data as ci, 1 and ci, 2.

In order to keep data centers operational and safe, the software running on data center computers is being updated regularly. Release cycle of BigData Inc. is one day meaning that the new version of software is being deployed to the data center computers each day.

Data center software update is a non-trivial long process, that is why there is a special hour-long time frame that is dedicated for data center maintenance. During the maintenance period, data center computers are installing software updates, and thus they may be unavailable. Consider the day to be exactly h hours long. For each data center there is an integer uj (0 ≤ uj ≤ h - 1) defining the index of an hour of day, such that during this hour data center j is unavailable due to maintenance.

Summing up everything above, the condition uci, 1 ≠ uci, 2 should hold for each client, or otherwise his data may be unaccessible while data centers that store it are under maintenance.

Due to occasional timezone change in different cities all over the world, the maintenance time in some of the data centers may change by one hour sometimes. Company should be prepared for such situation, that is why they decided to conduct an experiment, choosing some non-empty subset of data centers, and shifting the maintenance time for them by an hour later (i.e. if uj = h - 1, then the new maintenance hour would become 0, otherwise it would become uj + 1). Nonetheless, such an experiment should not break the accessibility guarantees, meaning that data of any client should be still available during any hour of a day after the data center maintenance times are changed.

Such an experiment would provide useful insights, but changing update time is quite an expensive procedure, that is why the company asked you to find out the minimum number of data centers that have to be included in an experiment in order to keep the data accessibility guarantees.

Input

The first line of input contains three integers n, m and h (2 ≤ n ≤ 100 000, 1 ≤ m ≤ 100 000, 2 ≤ h ≤ 100 000), the number of company data centers, number of clients and the day length of day measured in hours. 

The second line of input contains n integers u1, u2, ..., un (0 ≤ uj < h), j-th of these numbers is an index of a maintenance hour for data center j. 

Each of the next m lines contains two integers ci, 1 and ci, 2 (1 ≤ ci, 1, ci, 2 ≤ n, ci, 1 ≠ ci, 2), defining the data center indices containing the data of client i.

It is guaranteed that the given maintenance schedule allows each client to access at least one copy of his data at any moment of day.

Output

In the first line print the minimum possible number of data centers k (1 ≤ k ≤ n) that have to be included in an experiment in order to keep the data available for any client.

In the second line print k distinct integers x1, x2, ..., xk (1 ≤ xi ≤ n), the indices of data centers whose maintenance time will be shifted by one hour later. Data center indices may be printed in any order.

If there are several possible answers, it is allowed to print any of them. It is guaranteed that at there is at least one valid choice of data centers.

Examples

Input

3 3 5
4 4 0
1 3
3 2
3 1


Output

1
3 

Input

4 5 4
2 1 0 3
4 3
3 2
1 2
1 4
1 3


Output

4
1 2 3 4 

Note

Consider the first sample test. The given answer is the only way to conduct an experiment involving the only data center. In such a scenario the third data center has a maintenance during the hour 1, and no two data centers storing the information of the same client have maintenance at the same hour.

On the other hand, for example, if we shift the maintenance time on hour later for the first data center, then the data of clients 1 and 3 will be unavailable during the hour 0.

Solution (in JAVA):

Solution:
//package com.company;

import java.io.*;
import java.util.*;

public class Main {
    public static void main(String[] args) throws IOException {
        MyScanner sc = new MyScanner(System.in);
        PrintWriter pw = new PrintWriter(System.out);
        long start = System.currentTimeMillis();
        Task t = new Task();
        t.solve(sc, pw);
        long end = System.currentTimeMillis();
//        pw.println("Used time " + (end - start) + "ms.");
        pw.close();
    }

    public static class Task {

        public void solve(MyScanner sc, PrintWriter pw) throws IOException {
            int n = sc.nextInt();
            int m = sc.nextInt();
            int h = sc.nextInt();
            int[] centers = new int[n];
            for (int i = 0; i < n; i++) {
                centers[i] = sc.nextInt();
            }
            Set<Integer>[] used = new HashSet[n];
            for (int i = 0; i < n; i++) {
                used[i] = new HashSet<>();
            }
            SCC scc = new SCC(n, m * 2);
            for (int i = 0; i < m; i++) {
                int a = sc.nextInt() - 1;
                int b = sc.nextInt() - 1;
                if ((centers[a] + 1) % h == centers[b] && !used[a].contains(b)) {
                    scc.add_edge(a + 1, b + 1);
                    used[a].add(b);
                }
                if ((centers[b] + 1) % h == centers[a] && !used[b].contains(a)) {
                    scc.add_edge(b + 1, a + 1);
                    used[b].add(a);
                }
            }
            scc.run();
            int[] sizescc = new int[scc.group_cnt];
            Set<Integer>[] newRVEdge = new Set[scc.group_cnt];
            for (int i = 0; i < scc.group_cnt; i++) {
                newRVEdge[i] = new HashSet<>();
            }
            int[] deg = new int[scc.group_cnt];
            for (int i = 0; i < n; i++) {
                int sccI = scc.group_num[i + 1] - 1;
                sizescc[sccI] ++;
                for (int j : used[i]) {
                    int sccJ = scc.group_num[j + 1] - 1;
                    if (!newRVEdge[sccI].contains(sccJ) && sccI != sccJ){
                        newRVEdge[sccI].add(sccJ);
                        deg[sccI]++;
                    }
                }
            }
//            boolean[] visited = new boolean[scc.group_cnt];

            int minEndVal = Integer.MAX_VALUE;
            int minEndIdx = 0;
            for (int i = 0; i < scc.group_cnt; i++) {
                if (deg[i] == 0) {
                    if (sizescc[i] < minEndVal) {
                        minEndVal = sizescc[i];
                        minEndIdx = i;
                    }
                }
            }

            int cnt = 0;
            List<Integer> tp = new ArrayList<>();
            for (int i = 0; i < n; i++) {
                if (scc.group_num[i + 1] - 1 == minEndIdx) {
                    tp.add(i + 1);
                    cnt++;
                }
            }
            pw.println(cnt);
            for (int i = 0; i < cnt; i++) {
                pw.print(tp.get(i) + " ");
            }
            pw.println();

//            for (int i = 0; i < scc.group_cnt; i++) {
//                if (deg[i] == 0 && !visited[i]) {
//                    if (sizescc[i] < minEndVal) {
//                        minEndVal = sizescc[i];
//                        minEndIdx = i;
//                    }
//                    Stack<Integer> st = new Stack<>();
//                    st.push(i);
//                    visited[i] = true;
//                    while (!st.empty()) {
//                        int t = st.pop();
//                        for(int j : newRVEdge[t]) {
//                            if (!visited[j]) {
//                                visited[j] = true;
//                                st.push(j);
//                            }
//                        }
//                    }
//                }
//            }
//            int minim = Integer.MAX_VALUE;
//            Set<Integer> minidx = new HashSet<>();
//            List<Integer> tmpIdx = new ArrayList<>();
//            for (int i = 0; i < scc.group_cnt; i++) {
//                int cnt = 0;
//                if (!visited[i]) {
//                    tmpIdx.clear();
//                    Stack<Integer> st = new Stack<>();
//                    st.push(i);
//                    visited[i] = true;
//                    while (!st.empty()) {
//                        int t = st.pop();
//                        tmpIdx.add(t);
//                        cnt+=sizescc[t];
//                        for(int j : newRVEdge[t]) {
//                            if (!visited[j]) {
//                                visited[j] = true;
//                                st.push(j);
//                            }
//                        }
//                    }
//                    if (cnt < minim) {
//                        minidx.clear();
//                        minidx.addAll(tmpIdx);
//                        minim = cnt;
//                    }
//                }
//            }
//            if (minEndVal < minim) {

//            } else {
//                int cnt = 0;
//                List<Integer> tp = new ArrayList<>();
//                for (int i = 0; i < n; i++) {
//                    if (minidx.contains(scc.group_num[i + 1] - 1)) {
//                        tp.add(i + 1);
//                        cnt++;
//                    }
//                }
//                pw.println(cnt);
//                for (int i = 0; i < cnt; i++) {
//                    pw.print(tp.get(i) + " ");
//                }
//            }
//            pw.println();

        }

    }

    public static class SCC {
        public class Edge{
            int e, nxt;
            Edge(){}
        }
        public int V = 0, E = 0;
        public Edge[] e, er;
        public int[] sp, spr, group_num, stk;
        public int group_cnt;
        public boolean[] v;
        public void fill_forward(int x){
            v[x] = true;
            for (int i = sp[x]; i != 0; i = e[i].nxt) {
                if (!v[e[i].e]) fill_forward(e[i].e);
            }
            stk[++stk[0]] = x;
        }
        public void fill_backward(int x){
            v[x] = false;
            group_num[x] = group_cnt;
            for (int i = spr[x]; i != 0; i = er[i].nxt) {
                if (v[er[i].e]) fill_backward(er[i].e);
            }
        }
        public void add_edge(int v1, int v2){
            e[++E].e = v2; e[E].nxt = sp[v1]; sp[v1] = E;
            er[E].e = v1; er[E].nxt = spr[v2]; spr[v2] = E;
        }
        public SCC(int n, int m){
            e = new Edge[m + 10];
            er = new Edge[m + 10];
            V = n;
            for (int i = 0; i < m + 10; i++) {
                e[i] = new Edge();
                er[i] = new Edge();
            }
            sp = new int[n + 10];
            spr = new int[n + 10];
            group_num = new int[n + 10];
            stk = new int[n + 10];
            v = new boolean[n + 10];
        }
        public void run(){
            stk[0] = 0;
            Arrays.fill(v, false);
            for (int i = 1; i <= V; i++) {
                if (!v[i]) fill_forward(i);
            }
            group_cnt = 0;
            for (int i = stk[0]; i >= 1; i--) {
                if(v[stk[i]]) {
                    group_cnt++;
                    fill_backward(stk[i]);
                }
            }
        }
    }

    static class MyScanner {
        StringTokenizer st;
        BufferedReader br;

        public MyScanner(InputStream s){  br = new BufferedReader(new InputStreamReader(s));}

        public MyScanner(FileReader s) throws FileNotFoundException {br = new BufferedReader(s);}

        public String next() throws IOException
        {
            while (st == null || !st.hasMoreTokens())
                st = new StringTokenizer(br.readLine());
            return st.nextToken();
        }

        public int nextInt() throws IOException {return Integer.parseInt(next());}

        public long nextLong() throws IOException {return Long.parseLong(next());}

        public String nextLine() throws IOException {return br.readLine();}

        public double nextDouble() throws IOException { return Double.parseDouble(next()); }

        public boolean ready() throws IOException {return br.ready();}
    }
}