There are N cities numbered 1 to N, connected by M railroads.

You are now at City 1, with 10^{100} gold coins and S silver coins in your pocket.

The i-th railroad connects City U_i and City V_i bidirectionally, and a one-way trip costs A_i silver coins and takes B_i minutes. You cannot use gold coins to pay the fare.

There is an exchange counter in each city. At the exchange counter in City i, you can get C_i silver coins for 1 gold coin. The transaction takes D_i minutes for each gold coin you give. You can exchange any number of gold coins at each exchange counter.

For each t=2, ..., N, find the minimum time needed to travel from City 1 to City t. You can ignore the time spent waiting for trains.

Constraints

* 2 \leq N \leq 50
* N-1 \leq M \leq 100
* 0 \leq S \leq 10^9
* 1 \leq A_i \leq 50
* 1 \leq B_i,C_i,D_i \leq 10^9
* 1 \leq U_i < V_i \leq N
* There is no pair i, j(i \neq j) such that (U_i,V_i)=(U_j,V_j).
* Each city t=2,...,N can be reached from City 1 with some number of railroads.
* All values in input are integers.

Input

Input is given from Standard Input in the following format:


N M S
U_1 V_1 A_1 B_1
:
U_M V_M A_M B_M
C_1 D_1
:
C_N D_N


Output

For each t=2, ..., N in this order, print a line containing the minimum time needed to travel from City 1 to City t.

Examples

Input

3 2 1
1 2 1 2
1 3 2 4
1 11
1 2
2 5


Output

2
14


Input

4 4 1
1 2 1 5
1 3 4 4
2 4 2 2
3 4 1 1
3 1
3 1
5 2
6 4


Output

5
5
7


Input

6 5 1
1 2 1 1
1 3 2 1
2 4 5 1
3 5 11 1
1 6 50 1
1 10000
1 3000
1 700
1 100
1 1
100 1


Output

1
9003
14606
16510
16576


Input

4 6 1000000000
1 2 50 1
1 3 50 5
1 4 50 7
2 3 50 2
2 4 50 4
3 4 50 3
10 2
4 4
5 5
7 7


Output

1
3
5


Input

2 1 0
1 2 1 1
1 1000000000
1 1


Output

1000000001
import sys
input=lambda: sys.stdin.readline().rstrip()
import heapq
n,m,s=map(int,input().split())
s=min(s,2499)
E=[]
for _ in range(m):
  E.append(tuple(map(int,input().split())))
CD=[]
for _ in range(n):
  CD.append(tuple(map(int,input().split())))
nn=n*2500
edge=[[] for i in range(nn)]
for u,v,a,b in E:
  u-=1
  v-=1
  for i in range(a,2500):
    edge[u*2500+i].append(b*10**6+v*2500+i-a)
    edge[v*2500+i].append(b*10**6+u*2500+i-a)
for i in range(n):
  c,d=CD[i]
  for j in range(2500):
    if j+c<2500:
      edge[i*2500+j].append(d*10**6+i*2500+j+c)

def dijkstra_heap(s):
  d=[float("inf")]*nn
  used=[True]*nn
  d[s]=0
  used[s]=False
  edgelist=[]
  for e in edge[s]:
    heapq.heappush(edgelist,e)
  while edgelist:
    minedge=heapq.heappop(edgelist)
    minedge_cost=minedge//(10**6)
    minedge_v=minedge%(10**6)
    if not used[minedge_v]:
      continue
    d[minedge_v] = minedge_cost
    used[minedge_v] = False
    for e in edge[minedge_v]:
      e_cost=e//(10**6)
      e_v=e%(10**6)
      if used[e_v]:
        heapq.heappush(edgelist,e+minedge_cost*10**6)
  return d
D=dijkstra_heap(s)
for i in range(1,n):
  ans=D[i*2500]
  for j in range(1,2500):
    ans=min(ans,D[i*2500+j])
  print(ans)
