Problem: There are N people standing on the x-axis. Let the coordinate of Person i be x_i. For every i, x_i is an integer between 0 and 10^9 (inclusive). It is possible that more than one person is standing at the same coordinate.

You will given M pieces of information regarding the positions of these people. The i-th piece of information has the form (L_i, R_i, D_i). This means that Person R_i is to the right of Person L_i by D_i units of distance, that is, x_{R_i} - x_{L_i} = D_i holds.

It turns out that some of these M pieces of information may be incorrect. Determine if there exists a set of values (x_1, x_2, ..., x_N) that is consistent with the given pieces of information.

Constraints

* 1 \leq N \leq 100 000
* 0 \leq M \leq 200 000
* 1 \leq L_i, R_i \leq N (1 \leq i \leq M)
* 0 \leq D_i \leq 10 000 (1 \leq i \leq M)
* L_i \neq R_i (1 \leq i \leq M)
* If i \neq j, then (L_i, R_i) \neq (L_j, R_j) and (L_i, R_i) \neq (R_j, L_j).
* D_i are integers.

Input

Input is given from Standard Input in the following format:


N M
L_1 R_1 D_1
L_2 R_2 D_2
:
L_M R_M D_M


Output

If there exists a set of values (x_1, x_2, ..., x_N) that is consistent with all given pieces of information, print `Yes`; if it does not exist, print `No`.

Examples

Input

3 3
1 2 1
2 3 1
1 3 2


Output

Yes


Input

3 3
1 2 1
2 3 1
1 3 5


Output

No


Input

4 3
2 1 1
2 3 5
3 4 2


Output

Yes


Input

10 3
8 7 100
7 9 100
9 8 100


Output

No


Input

100 0


Output

Yes

Solution (in PYTHON3):

Solution:
class UnionFind:
    def __init__(self, size):
        self.parent = [-1 for i in range(size)]#非負なら親ノード，負ならグループの要素数
        self.diff_potential = [0 for i in range(size)]#親ノードを基準としたポテンシャル

    def root(self, x): #root(x): xの根ノードを返す．
        if self.parent[x] < 0:
            return x
        else:
            rx = self.root(self.parent[x]) #xをxの根rxに直接つなぎたい
            self.diff_potential[x] += self.diff_potential[self.parent[x]] #そのために，diff(rx,x)を計算
            self.parent[x] = rx #xをrxに直接つなげる
            return rx

    def merge(self, x, y, diffxy): #merge(x,y): xのいるグループと$y$のいるグループをまとめる
        diffxy = self.diff_potential[x] + diffxy - self.diff_potential[y] #diffxyをdiff(rx,ry)で置き換え
        x = self.root(x) #rxを新たにxと名づける
        y = self.root(y) #ryを新たにyと名づける
        if x == y:
            return False
        if self.parent[x] > self.parent[y]: #xの要素数がyの要素数より「小さい」とき入れ替える
            x,y=y,x
            diffxy = -diffxy
        self.parent[x] += self.parent[y] #xの要素数を更新
        self.parent[y] = x #yをxにつなぐ
        self.diff_potential[y] = diffxy #yの相対ポテンシャルを更新
        return True

    def issame(self, x, y): #same(x,y): xとyが同じグループにあるならTrue，違うならFalse
        return self.root(x) == self.root(y)
        
    def diff(self,x,y): #diff(x,y): xを基準としたyのポテンシャルを返す 
        if self.root(x) == self.root(y): #この時点でxの親はroot(x)
            return self.diff_potential[y] - self.diff_potential[x]
        else:
            return None

    def size(self,x): #size(x): xのいるグループの要素数を返す
        return -self.parent[self.root(x)]
#>>>>>>>>>>>>>>EhdCutHere>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>

n,m = list(map(int,input().split()))

uf = UnionFind(n)
ans = True
for i in range(m):
    l,r,d=list(map(int,input().split()))
    l-=1;r-=1;
    if uf.issame(l,r):
        ans = d==uf.diff(l,r)
    else:
        uf.merge(l,r,d)
    if ans == False:
        break

if ans == False:
    print('No')
else:
    print('Yes')
#print([uf.root(i) for i in range(n)])
#print([uf.parent[i] for i in range(n)])
#print([uf.size(i) for i in range(n)])