Problem:
Score : 400 points

Problem Statement

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.

Sample Input 1

3 3
1 2 1
2 3 1
1 3 2

Sample Output 1

Yes

Some possible sets of values (x_1, x_2, x_3) are (0, 1, 2) and (101, 102, 103).

Sample Input 2

3 3
1 2 1
2 3 1
1 3 5

Sample Output 2

No

If the first two pieces of information are correct, x_3 - x_1 = 2 holds, which is contradictory to the last piece of information.

Sample Input 3

4 3
2 1 1
2 3 5
3 4 2

Sample Output 3

Yes

Sample Input 4

10 3
8 7 100
7 9 100
9 8 100

Sample Output 4

No

Sample Input 5

100 0

Sample Output 5

Yes

Solution in PyPy3 (2.4.0) (judge verdict: Accepted)

class WeightedUnionFind:
    def __init__(self, n):
        self.par = [i for i in range(n+1)]
        self.rank = [0] * (n+1)
        self.weight = [0] * (n+1)

    def find(self, x):
        if self.par[x] == x:
            return x
        else:
            y = self.find(self.par[x])
            self.weight[x] += self.weight[self.par[x]]
            self.par[x] = y
            return y

    def unite(self, x, y, w):
        px = self.find(x)
        py = self.find(y)
        if px != py:
            if self.rank[px] < self.rank[py]:
                self.par[px] = py
                self.weight[px] = w - self.weight[x] + self.weight[y]
            else:
                self.par[py] = px
                self.weight[py] = -w - self.weight[y] + self.weight[x]
                if self.rank[px] == self.rank[py]:
                    self.rank[px] += 1

    def are_same(self, x, y):
        return self.find(x) == self.find(y)

    def diff(self, x, y):
        return self.weight[x] - self.weight[y]


N, M = map(int, input().split())
LRD = [list(map(int, input().split())) for i in range(M)]

graph = WeightedUnionFind(N)
for l, r, d in LRD:
    l -= 1
    r -= 1
    if graph.are_same(l, r):
        if graph.diff(l, r) != d:
            print("No")
            break
    else:
        graph.unite(l, r, d)
else:
    print("Yes")