You are given a forest with N vertices and M edges. The vertices are numbered 0 through N-1. The edges are given in the format (x_i,y_i), which means that Vertex x_i and y_i are connected by an edge.

Each vertex i has a value a_i. You want to add edges in the given forest so that the forest becomes connected. To add an edge, you choose two different vertices i and j, then span an edge between i and j. This operation costs a_i + a_j dollars, and afterward neither Vertex i nor j can be selected again.

Find the minimum total cost required to make the forest connected, or print `Impossible` if it is impossible.

Constraints

* 1 ≤ N ≤ 100,000
* 0 ≤ M ≤ N-1
* 1 ≤ a_i ≤ 10^9
* 0 ≤ x_i,y_i ≤ N-1
* The given graph is a forest.
* All input values are integers.

Input

Input is given from Standard Input in the following format:


N M
a_0 a_1 .. a_{N-1}
x_1 y_1
x_2 y_2
:
x_M y_M


Output

Print the minimum total cost required to make the forest connected, or print `Impossible` if it is impossible.

Examples

Input

7 5
1 2 3 4 5 6 7
3 0
4 0
1 2
1 3
5 6


Output

7


Input

5 0
3 1 4 1 5


Output

Impossible


Input

1 0
5


Output

0
class UnionFind():
    # 作りたい要素数nで初期化
    # 使用するインスタンス変数の初期化
    def __init__(self, n):
        self.n = n
        # root[x]<0ならそのノードが根かつその値が木の要素数
        # rootノードでその木の要素数を記録する
        self.root = [-1]*(n+1)
        # 木をくっつける時にアンバランスにならないように調整する
        self.rnk = [0]*(n+1)

    # ノードxのrootノードを見つける
    def Find_Root(self, x):
        if(self.root[x] < 0):
            return x
        else:
            # ここで代入しておくことで、後の繰り返しを避ける
            self.root[x] = self.Find_Root(self.root[x])
            return self.root[x]
    # 木の併合、入力は併合したい各ノード
    def Unite(self, x, y):
        # 入力ノードのrootノードを見つける
        x = self.Find_Root(x)
        y = self.Find_Root(y)
        # すでに同じ木に属していた場合
        if(x == y):
            return 
        # 違う木に属していた場合rnkを見てくっつける方を決める
        elif(self.rnk[x] > self.rnk[y]):
            self.root[x] += self.root[y]
            self.root[y] = x

        else:
            self.root[y] += self.root[x]
            self.root[x] = y
            # rnkが同じ（深さに差がない場合）は1増やす
            if(self.rnk[x] == self.rnk[y]):
                self.rnk[y] += 1
    # xとyが同じグループに属するか判断
    def isSameGroup(self, x, y):
        return self.Find_Root(x) == self.Find_Root(y)

    # ノードxが属する木のサイズを返す
    def Count(self, x):
        return -self.root[self.Find_Root(x)]

import heapq as hp
import sys
input = sys.stdin.readline

N, M = map(int, input().split())
A = list(map(int, input().split()))
uni = UnionFind(N-1)
for _ in range(M):
    a, b = map(int, input().split())
    uni.Unite(a, b)

root = {}
for i in range(N):
    r = uni.Find_Root(i)
    if not r in root.keys():
        root[r] = [A[i]]
    else:
        hp.heappush(root[r], A[i])
B = sorted(root.values(), reverse=True, key=lambda x:len(x))
q = []
ok = True
ans = 0
for i, L in enumerate(B):
    if i == 0:
        for a in L:
            hp.heappush(q, a)
    else:
        if not q:
            ok = False
            break
        a1 = hp.heappop(q)
        a2 = hp.heappop(L)
        ans += a1 + a2
        for a in L:
            hp.heappush(q, a)
if not ok:
    print("Impossible")
else:
    print(ans)