s_id stringlengths 10 10 | p_id stringlengths 6 6 | u_id stringlengths 10 10 | date stringlengths 10 10 | language stringclasses 1
value | original_language stringclasses 11
values | filename_ext stringclasses 1
value | status stringclasses 1
value | cpu_time stringlengths 1 5 | memory stringlengths 1 7 | code_size stringlengths 1 6 | code stringlengths 1 539k |
|---|---|---|---|---|---|---|---|---|---|---|---|
s705330673 | p02368 | u400336986 | 1487593289 | Python | Python3 | py | Runtime Error | 280 | 8016 | 801 | def dfs(u, g, stack):
visited[u] = True
for v in g[u]:
if not visited[v]:
dfs(v, g, stack)
stack.append(u)
return stack
nv, ne = map(int, input().split(' '))
adj, tps = ([[] for _ in range(nv)] for _ in range(2))
for _ in range(ne):
s, t = map(int, input().split(' '))
adj[s].append(t)
tps[t].append(s)
visited = [False] * nv
stack = []
for i in range(nv):
if not visited[i]:
stack = dfs(i, adj, stack)
visited = [False] * nv
comps = []
while stack:
i = stack.pop()
if not visited[i]:
comp = dfs(i, tps, [])
comps.append(comp)
nv = int(input())
for _ in range(nv):
u, v = map(int, input().split(' '))
ans = 0
for comp in comps:
if u in comp and v in comp:
ans = 1
print(ans) |
s966539963 | p02368 | u855775311 | 1499781277 | Python | Python3 | py | Runtime Error | 140 | 8264 | 1032 | def main():
nvertices, nedges = map(int, input().split())
Adj = [[] for i in range(nvertices)]
Adjrev = [[] for i in range(nvertices)]
for i in range(nedges):
s, t = map(int, input().split())
Adj[s].append(t)
Adjrev[t].append(s)
component_ids = [-1] * nvertices
id = 0
for u in range(nvertices):
if component_ids[u] != -1:
continue
s1 = set()
s2 = set()
visited1 = [0] * nvertices
visited2 = [0] * nvertices
dfs(u, Adj, visited1, s1)
dfs(u, Adjrev, visited2, s2)
for v in s1 & s2:
component_ids[v] = id
id += 1
Q = int(input())
for i in range(Q):
s, t = map(int, input().split())
if component_ids[s] == component_ids[t]:
print(1)
else:
print(0)
def dfs(u, Adj, visited, s):
visited[u] = 1
s.add(u)
for v in Adj[u]:
if visited[v]:
continue
dfs(v, Adj, visited, s)
return s
main() |
s169080503 | p02368 | u855775311 | 1499920890 | Python | Python3 | py | Runtime Error | 0 | 0 | 1241 | def main():
nvertices, nedges = map(int, input().split())
Adj = [[] for i in range(nvertices)]
Adjrev = [[] for i in range(nvertices)]
for i in range(nedges):
s, t = map(int, input().split())
Adj[s].append(t)
Adjrev[t].append(s)
ordering = []
visited = [False] * nvertices
for u in range(nvertices):
if not visited[u]:
dfs1(u, Adj, visited, ordering)
ordering.reverse()
component_ids = [-1] * nvertices
id = 0
visited = [False] * nvertices
for u in ordering:
if visited[u]:
continue
dfs2(u, Adjrev, id, visited, component_ids)
id += 1
Q = int(input())
for i in range(Q):
s, t = map(int, input().split())
if component_ids[s] == component_ids[t]:
print(1)
else:
print(0)
def dfs1(u, Adj, visited, ordering):
visited[u] = True
for v in Adj[u]:
if visited[v]:
continue
dfs1(v, Adj, visited, ordering)
ordering.append(u)
def dfs2(u, Adj, id, visited, component_ids):
visited[u] = True
component_ids[u] = id
for v in range(Adj[u]):
if not visited[v]:
dfs2(v, Adj, id, visited)
main() |
s325399044 | p02368 | u855775311 | 1499920982 | Python | Python3 | py | Runtime Error | 130 | 8176 | 1249 | def main():
nvertices, nedges = map(int, input().split())
Adj = [[] for i in range(nvertices)]
Adjrev = [[] for i in range(nvertices)]
for i in range(nedges):
s, t = map(int, input().split())
Adj[s].append(t)
Adjrev[t].append(s)
ordering = []
visited = [False] * nvertices
for u in range(nvertices):
if not visited[u]:
dfs1(u, Adj, visited, ordering)
ordering.reverse()
component_ids = [-1] * nvertices
id = 0
visited = [False] * nvertices
for u in ordering:
if visited[u]:
continue
dfs2(u, Adjrev, id, visited, component_ids)
id += 1
Q = int(input())
for i in range(Q):
s, t = map(int, input().split())
if component_ids[s] == component_ids[t]:
print(1)
else:
print(0)
def dfs1(u, Adj, visited, ordering):
visited[u] = True
for v in Adj[u]:
if visited[v]:
continue
dfs1(v, Adj, visited, ordering)
ordering.append(u)
def dfs2(u, Adj, id, visited, component_ids):
visited[u] = True
component_ids[u] = id
for v in Adj[u]:
if not visited[v]:
dfs2(v, Adj, id, visited, component_ids)
main() |
s526226443 | p02368 | u855775311 | 1499921156 | Python | Python3 | py | Runtime Error | 120 | 8024 | 1299 | import sys
def main():
sys.setrecursionlimit(int(1e4))
nvertices, nedges = map(int, input().split())
Adj = [[] for i in range(nvertices)]
Adjrev = [[] for i in range(nvertices)]
for i in range(nedges):
s, t = map(int, input().split())
Adj[s].append(t)
Adjrev[t].append(s)
ordering = []
visited = [False] * nvertices
for u in range(nvertices):
if not visited[u]:
dfs1(u, Adj, visited, ordering)
ordering.reverse()
component_ids = [-1] * nvertices
id = 0
visited = [False] * nvertices
for u in ordering:
if visited[u]:
continue
dfs2(u, Adjrev, id, visited, component_ids)
id += 1
Q = int(input())
for i in range(Q):
s, t = map(int, input().split())
if component_ids[s] == component_ids[t]:
print(1)
else:
print(0)
def dfs1(u, Adj, visited, ordering):
visited[u] = True
for v in Adj[u]:
if visited[v]:
continue
dfs1(v, Adj, visited, ordering)
ordering.append(u)
def dfs2(u, Adj, id, visited, component_ids):
visited[u] = True
component_ids[u] = id
for v in Adj[u]:
if not visited[v]:
dfs2(v, Adj, id, visited, component_ids)
main() |
s106263419 | p02368 | u855775311 | 1501749583 | Python | Python3 | py | Runtime Error | 110 | 7924 | 1114 | def main():
nvertices, nedges = map(int, input().split())
Adj = [[] for i in range(nvertices)]
AdjRev = [[] for i in range(nvertices)]
for i in range(nedges):
u, v = map(int, input().split())
Adj[u].append(v)
AdjRev[v].append(u)
lst = []
visited = [False] * nvertices
for u in range(nvertices):
if not visited[u]:
dfs_first(u, Adj, visited, lst)
lst.reverse()
ids = [-1] * nvertices
visited = [False] * nvertices
id = 0
for u in lst:
if not visited[u]:
dfs_second(u, AdjRev, visited, id, ids)
id += 1
Q = int(input())
for i in range(Q):
u, v = map(int, input().split())
print(1 if ids[u] == ids[v] else 0)
def dfs_first(u, Adj, visited, lst):
visited[u] = True
for v in Adj[u]:
if not visited[v]:
dfs_first(v, Adj, visited, lst)
lst.append(u)
def dfs_second(u, Adj, visited, id, ids):
ids[u] = id
visited[u] = True
for v in Adj[u]:
if not visited[v]:
dfs_second(v, Adj, visited, id, ids)
main() |
s419177994 | p02368 | u798803522 | 1508158537 | Python | Python3 | py | Runtime Error | 150 | 8544 | 1430 | from collections import defaultdict
def counter():
cnt = 0
while True:
yield cnt
cnt += 1
def dfs(here, visited, track, count, connect):
visited |= {here}
for c in connect[here]:
if c not in visited:
dfs(c, visited, track, count, connect)
track[here] = next(count)
def kosaraju(here, visited, track, count, connect):
visited |= {here}
for c in connect[here]:
if c not in visited:
kosaraju(c, visited, track, count, connect)
track[here] = count
vertices, edges = (int(n) for n in input().split(" "))
connect = defaultdict(list)
reversed_connect = defaultdict(list)
for _ in range(edges):
v1, v2 = (int(n) for n in input().split(" "))
connect[v1].append(v2)
reversed_connect[v2].append(v1)
visited = set()
track_gen = counter()
track = [-1 for n in range(vertices)]
for v in range(vertices):
if v not in visited:
dfs(v, visited, track, track_gen, connect)
visited = set()
track_gen = counter()
strongly_con = [-1 for n in range(vertices)]
for v in range(vertices - 1 ,- 1, -1):
here = track.index(v)
if here not in visited:
num = next(track_gen)
kosaraju(here, visited, strongly_con, num, reversed_connect)
q_num = int(input())
for _ in range(q_num):
v1, v2 = (int(n) for n in input().split(" "))
if strongly_con[v1] == strongly_con[v2]:
print(1)
else:
print(0) |
s159978713 | p02368 | u798803522 | 1508158584 | Python | Python3 | py | Runtime Error | 0 | 0 | 1460 | from collections import defaultdict
sys.setrecursionlimit(100000)
def counter():
cnt = 0
while True:
yield cnt
cnt += 1
def dfs(here, visited, track, count, connect):
visited |= {here}
for c in connect[here]:
if c not in visited:
dfs(c, visited, track, count, connect)
track[here] = next(count)
def kosaraju(here, visited, track, count, connect):
visited |= {here}
for c in connect[here]:
if c not in visited:
kosaraju(c, visited, track, count, connect)
track[here] = count
vertices, edges = (int(n) for n in input().split(" "))
connect = defaultdict(list)
reversed_connect = defaultdict(list)
for _ in range(edges):
v1, v2 = (int(n) for n in input().split(" "))
connect[v1].append(v2)
reversed_connect[v2].append(v1)
visited = set()
track_gen = counter()
track = [-1 for n in range(vertices)]
for v in range(vertices):
if v not in visited:
dfs(v, visited, track, track_gen, connect)
visited = set()
track_gen = counter()
strongly_con = [-1 for n in range(vertices)]
for v in range(vertices - 1 ,- 1, -1):
here = track.index(v)
if here not in visited:
num = next(track_gen)
kosaraju(here, visited, strongly_con, num, reversed_connect)
q_num = int(input())
for _ in range(q_num):
v1, v2 = (int(n) for n in input().split(" "))
if strongly_con[v1] == strongly_con[v2]:
print(1)
else:
print(0) |
s447351435 | p02368 | u352394527 | 1528130011 | Python | Python3 | py | Runtime Error | 200 | 6056 | 1222 | """
強連結成分分解
"""
def dfs(v, visited, edges, order):
visited[v] = True
for to in edges[v]:
if not visited[to]:
dfs(to, visited, edges, order)
order.append(v)
def search_strongly_connection(v, visited, reverse_edges, parent):
visited[v] = True
for to in reverse_edges[v]:
if not visited[to]:
parent[to] = v
search_strongly_connection(to, visited, reverse_edges, parent)
def find(parent, x):
if parent[x] == x:
return x
tmp = find(parent, parent[x])
parent[x] = tmp
return tmp
v_num , e_num = map(int, input().split())
edges = [[] for _ in range(v_num)]
reverse_edges = [[] for _ in range(v_num)]
for _ in range(e_num):
s, t = map(int, input().split())
edges[s].append(t)
reverse_edges[t].append(s)
order = []
visited = [False] * v_num
for v in range(v_num):
if not visited[v]:
dfs(v, visited, edges, order)
order.reverse()
visited = [False] * v_num
parent = [i for i in range(v_num)]
for v in order:
if not visited[v]:
search_strongly_connection(v, visited, reverse_edges, parent)
q_num = int(input())
for _ in range(q_num):
u, v = map(int, input().split())
if find(parent, u) == find(parent, v):
print(1)
else:
print(0)
|
s577430336 | p02369 | u797673668 | 1461582089 | Python | Python3 | py | Runtime Error | 20 | 7712 | 779 | import sys
sys.setrecursionlimit(200000)
def dfs(i):
global edges, visited, root, duplicated
visited[i] = True
for edge in edges[i]:
if visited[edge]:
if edge == root:
return True
duplicated.add(edge)
continue
if dfs(edge):
return True
n, m = map(int, input().split())
edges = [set() for _ in range(n)]
for _ in range(m):
s, t = map(int, input().split())
edges[s].add(t)
visited = [False] * n
root = 0
duplicated = set()
for i in range(n):
if not visited[i]:
root = i
if dfs(i):
print(1)
break
else:
for i in duplicated:
root = i
if dfs(i):
print(1)
break
else:
print(0) |
s710746056 | p02369 | u603049633 | 1497844394 | Python | Python3 | py | Runtime Error | 30 | 7792 | 722 | import heapq as pq
inf = float("inf")
n,e = map(int, input().split())
M = [[] for i in range(n)]
L = list(map(int, range(n)))
for i in range(e):
s,t = map(int, input().split())
M[s].append(t)
if t in L:
L.remove(t)
def dijkstra(s):
color = [0] * n
H =[]
pq.heappush(H, s)
while len(H) != 0:
u1 = pq.heappop(H)
for v1 in M[u1]:
if v1 and color[v1] == 1:
print("1")
return False
else:
color[u1] = 1
pq.heappush(H, v1)
return True
if not L:
print("1")
for i in L:
flag = False
if dijkstra(i):
flag = dijkstra(i)
else: break
if flag:
print("0") |
s874350260 | p02369 | u893844544 | 1523855949 | Python | Python3 | py | Runtime Error | 0 | 0 | 426 |
nv,ne = [int(i) for i in input().split()]
a = []
for i in range(nv):
a.append([])
for i in range(ne):
s,t = [int(j) for j in input().split()]
a[s].append(t)
done = []
flag = 0
def put_forword(index):
global f
if index in done:
return
done.append(index)
for s in a[index]:
if s == 0:
f = 1
return
put_forword(s)
put_forword(0)
print(f)
|
s588145984 | p02369 | u893844544 | 1523858360 | Python | Python3 | py | Runtime Error | 0 | 0 | 429 |
nv,ne = [int(i) for i in input().split()]
g = [[] for i in range(nv)]
for i in range(ne):
s,t = [int(j) for j in input().split()]
g[s].append(t)
done = []
f = 0
def put_forword(index):
global f
if index in done:
return
done.append(index)
for i in g[index]:
if i == 0 and done.count() == nv:
f = 1
return
put_forword(i)
put_forword(0)
print(f)
|
s531085172 | p02370 | u011621222 | 1540444477 | Python | Python3 | py | Runtime Error | 20 | 5664 | 442 |
# -*- coding: utf-8 -*-
# 文字列の入力
import math
V,E = map(int ,input().split())
X = []
for i in range(E):
s_i, t_i = map(int , input().split())
if(s_i in X):
if(t_i in X):
t = X.index(t_i)
s = X.index(s_i)
if(s > t):
X.remove(t_i)
X.insert(s,t_i)
else:
X.append(t_i)
else:
if(t_i in X):
t = X.index(t_i)
X.insert(t, s_i)
else:
X.append(s_i)
X.append(t_i)
for i in range(V):
print(X[i])
|
s189501960 | p02370 | u967553879 | 1556259677 | Python | Python3 | py | Runtime Error | 0 | 0 | 1009 | def topologicalSortBfs(n):
for i in range(n):
color[i] = WHITE
for i in range(0, n):
if indeg[i] == 0 and color[i] == WHITE:
bfs(i)
def bfs(s):
Q.appendleft(s)
color[s] = GRAY
while Q:
u = Q.popleft()
out.append(u)
for v in G[u]:
indeg[v] -= 1
if indeg[v] == 0 and color[v] == WHITE:
color[v] = GRAY
Q.append(v)
def topologicalSortDfs(n):
for i in range(n):
color[i] = WHITE
for s in range(0, n):
if color[s] == WHITE:
dfs(s)
def dfs(u):
color[u] = GRAY
for v in G[u]:
if color[v] == WHITE:
dfs(v)
out.appendleft(u)
n, e = map(int, input().split())
G = {}
for i in range(n):
G[i] = []
indeg = [0] * n
for i in range(e):
s, t = map(int, input().split())
indeg[t] += 1
G[s].append(t)
color = [None] * n
out = deque([])
WHITE = 0
GRAY = 1
Q = deque([])
topologicalSortDfs(n)
print(*out)
|
s311039860 | p02370 | u099826363 | 1556717798 | Python | Python3 | py | Runtime Error | 40 | 6840 | 701 | from sys import exit
import queue
V,E = [int(n) for n in input().split()]
ans = []
# N = int(input())
graph = [[] for _ in range(V)]
indeg = [0]*E
yet = [True]*E
def bfs(s):
q = queue.Queue()
q.put(s)
while(not q.empty()):
u = q.get()
ans.append(u)
yet[u]=False
for v in graph[u]:
indeg[v]-=1
if(indeg[v]==0):
q.put(v)
for i in range(E):
s, t = [int(n) for n in input().split()]
graph[s].append(t)
indeg[t]+=1
for i in range(E):
if(indeg[i]==0 and yet[i]):
bfs(i)
for a in ans:
print(a)
# a = [int(input()) for _ in range(N)]
# S = str(input())
# L = len(S)
# T = str(input())
# exit()
|
s327024893 | p02370 | u099826363 | 1556717874 | Python | Python3 | py | Runtime Error | 40 | 6840 | 701 | from sys import exit
import queue
V,E = [int(n) for n in input().split()]
ans = []
# N = int(input())
graph = [[] for _ in range(E)]
indeg = [0]*E
yet = [True]*E
def bfs(s):
q = queue.Queue()
q.put(s)
while(not q.empty()):
u = q.get()
ans.append(u)
yet[u]=False
for v in graph[u]:
indeg[v]-=1
if(indeg[v]==0):
q.put(v)
for i in range(E):
s, t = [int(n) for n in input().split()]
graph[s].append(t)
indeg[t]+=1
for i in range(E):
if(indeg[i]==0 and yet[i]):
bfs(i)
for a in ans:
print(a)
# a = [int(input()) for _ in range(N)]
# S = str(input())
# L = len(S)
# T = str(input())
# exit()
|
s959517610 | p02370 | u067972379 | 1559212067 | Python | Python3 | py | Runtime Error | 0 | 0 | 1069 | from collections import deque, defaultdict
def topological_sort(V, E):
'''
Kahn's Algorithm (O(|V| + |E|) time)
Input:
V = [0, 1, ..., N-1]: a list of vertices of the digraph
E: the adjacency list of the digraph (dict)
Output:
If the input digraph is acyclic, then return a topological sorting of the digraph.
Else, return None.
'''
indeg = {v: 0 for v in V}
for ends in E.values():
for v in ends:
indeg[v] += 1
q = deque([v for v in V if indeg[v] == 0])
top_sorted = []
while q:
v = q.popleft()
top_sorted.append(v)
for u in E[v]:
indeg[u] -= 1
if indeg[u] == 0:
q.append(u)
if len(top_sorted) == len(V): # The input digraph is acyclic.
return top_sorted
else: # There is a directed cycle in the digraph.
return None
N, M = map(int, input().split())
E = defaultdict(list)
for _ in range(M):
s, t = map(int, input().split())
E[s].append(t)
print(*topological_sort(V, E), sep='\n')
|
s900224205 | p02370 | u894114233 | 1461422655 | Python | Python | py | Runtime Error | 10 | 6800 | 697 | from collections import deque
def Topologicalsort():
for i in xrange(v):
if indeg[i]==0 and color[i]==0:
bfs(i)
def bfs(s):
color[s]=2
q.append(s)
while len(q)>0:
i=q.popleft()
ans.append(i)
for j in xrange(v):
if m[i][j]!=-1 and color[j]==0 :
indeg[j]-=1
if indeg[j]==0:
q.append(m[i][j])
color[j]=1
v,e=map(int,raw_input().split())
m=[[-1]*v for i in xrange(v)]
indeg=[0]*v
color=[0]*v
start=[]
ans=deque()
q=deque()
for i in xrange(v):
s,t=map(int,raw_input().split())
m[s][t]=t
indeg[t]+=1
Topologicalsort()
for i in ans:
print(i) |
s080724592 | p02370 | u894114233 | 1461422906 | Python | Python | py | Runtime Error | 10 | 6800 | 688 | from collections import deque
def Topologicalsort():
for i in xrange(v):
if indeg[i]==0 and color[i]==0:
bfs(i)
def bfs(s):
color[s]=2
q.append(s)
while len(q)>0:
i=q.popleft()
ans.append(i)
for j in xrange(v):
if m[i][j]!=-1:
indeg[j]-=1
if indeg[j]==0 and color[j]==0:
q.append(m[i][j])
color[j]=1
v,e=map(int,raw_input().split())
m=[[-1]*v for i in xrange(v)]
indeg=[0]*v
color=[0]*v
ans=deque()
q=deque()
for i in xrange(v):
s,t=map(int,raw_input().split())
m[s][t]=t
indeg[t]+=1
Topologicalsort()
for i in ans:
print(i) |
s164985054 | p02370 | u462831976 | 1490603572 | Python | Python3 | py | Runtime Error | 40 | 8676 | 830 | # -*- coding: utf-8 -*-
import sys
import os
import pprint
from queue import Queue
"""Topological Sort"""
#fd = os.open('GRL_4_B.txt', os.O_RDONLY)
#os.dup2(fd, sys.stdin.fileno())
V, E = list(map(int, input().split()))
G = [[] for i in range(V)]
indig = [0] * V # ??\?¬???°
for i in range(V):
s, t = list(map(int, input().split()))
G[s].append(t)
indig[t] += 1
q = Queue()
out = []
def bfs(node_index):
q.put(node_index)
while not q.empty():
u = q.get()
out.append(u)
# u?????????????????§u?????????indig????????????
for index in G[u]:
indig[index] -= 1
if indig[index] == 0:
q.put(index)
# bfs?????????
indig_copy = indig[:]
for i in range(V):
if indig_copy[i] == 0:
bfs(node_index=i)
for v in out:
print(v) |
s492553537 | p02370 | u426534722 | 1500821701 | Python | Python3 | py | Runtime Error | 0 | 0 | 469 | from sys import stdin
from collections import deque
V, E = map(int, stdin.readline().split())
adj_list = [[] for _ in [] * V]
is_visited = [False] * V
for _ in [] * E:
s, t = map(int, stdin.readline().split())
adj_list[s].append(t)
out = deque()
def dfs(u):
is_visited[u] = True
for v in adj_list[u]:
if not is_visited[v]:
dfs(v)
out.appendleft(u)
for s in range(V):
if not is_visited[s]:
dfs(s)
print(*out, sep='\n') |
s162708980 | p02370 | u426534722 | 1500821728 | Python | Python3 | py | Runtime Error | 0 | 0 | 470 | from sys import stdin
from collections import deque
V, E = map(int, stdin.readline().split())
adj_list = [[] for _ in [] * V]
is_visited = [False] * V
for _ in [0] * E:
s, t = map(int, stdin.readline().split())
adj_list[s].append(t)
out = deque()
def dfs(u):
is_visited[u] = True
for v in adj_list[u]:
if not is_visited[v]:
dfs(v)
out.appendleft(u)
for s in range(V):
if not is_visited[s]:
dfs(s)
print(*out, sep='\n') |
s907833658 | p02370 | u792145349 | 1528975773 | Python | Python3 | py | Runtime Error | 0 | 0 | 516 | N, M = map(int, input().split())
G = [[] for i in range(N)]
for i in range(M):
s, t = map(int, input().split())
G[s].append(t)
def topological_sort(g):
topological_list = []
visited = set()
def dfs(n):
for e in g[n]:
if e not in visited:
dfs(e)
topological_list.append(n)
visited.add(n)
for i in range(len(g)):
if i not in visited:
dfs(i)
return topological_list[::-1]
print(*topological_sort(G), sep="\n")
|
s257941396 | p02371 | u138546245 | 1534991840 | Python | Python3 | py | Runtime Error | 20 | 6248 | 1710 | #!/usr/bin/env python3
# GRL_5_A: Tree - Diameter of a Tree
class Edge:
__slots__ = ('v', 'w')
def __init__(self, v, w):
self.v = v
self.w = w
def either(self):
return self.v
def other(self, v):
if v == self.v:
return self.w
else:
return self.v
class WeightedEdge(Edge):
__slots__ = ('v', 'w', 'weight')
def __init__(self, v, w, weight):
super().__init__(v, w)
self.weight = weight
class Graph:
def __init__(self, v):
self.v = v
self._edges = [[] for _ in range(v)]
def add(self, e):
self._edges[e.v].append(e)
self._edges[e.w].append(e)
def adj(self, v):
return self._edges[v]
def edges(self):
for es in self._edges:
for e in es:
yield e
def diameter(graph):
def dfs(s):
def _dfs(v, weight):
if not visited[v]:
visited[v] = True
weights[v] = weight
for e in graph.adj(v):
w = e.other(v)
if not visited[w]:
_dfs(w, weight + e.weight)
visited = [False] * graph.v
weights = [0] * graph.v
_dfs(s, 0)
return weights
v0 = 0
ws0 = dfs(v0)
v1 = max((wg, v) for v, wg in enumerate(ws0))[1]
ws1 = dfs(v1)
v2 = max((wg, v) for v, wg in enumerate(ws1))[1]
return max(ws0[v2], ws1[v2])
def run():
n = int(input())
g = Graph(n)
for _ in range(n-1):
s, t, w = [int(i) for i in input().split()]
g.add(WeightedEdge(s, t, w))
print(diameter(g))
if __name__ == '__main__':
run()
|
s723042716 | p02371 | u943441430 | 1559280055 | Python | Python3 | py | Runtime Error | 20 | 5668 | 934 | from heapq import heappush, heappop
INF = 10000000000
def dijkstra(r, v, dic):
dp = []
q = []
dp = [INF] * v
dp[r] = 0
heappush(q, (0, r))
while q:
cost, vtx = heappop(q)
if dp[vtx] < cost:
continue
for vtx1, cost1 in dic[vtx]:
if cost + cost1 < dp[vtx1]:
dp[vtx1] = cost + cost1
heappush(q, (cost + cost1, vtx1))
return dp
dp = []
line = input()
n = int(line)
edge = {}
for _ in range(0, n - 1):
line = input()
s, t, d = list(map(int, line.split()))
if s not in edge:
edge[s] = [[t, d]]
else:
edge[s] += [[t, d]]
if t not in edge:
edge[t] = [[s, d]]
else:
edge[t] += [[s, d]]
diam = []
dp = dijkstra(0, n, edge)
i = [j for j, x in enumerate(dp) if x == max(dp)]
dp = dijkstra(i[0], n, edge)
diam = max(dp[i] if dp[i] != INF else 0 for i in range(0, n))
print(diam)
|
s636298060 | p02371 | u943441430 | 1559280089 | Python | Python3 | py | Runtime Error | 20 | 5664 | 924 | from heapq import heappush, heappop
INF = 10000000000
def dijkstra(r, v, dic):
dp = []
q = []
dp = [INF] * v
dp[r] = 0
heappush(q, (0, r))
while q:
cost, vtx = heappop(q)
if dp[vtx] < cost:
continue
for vtx1, cost1 in dic[vtx]:
if cost + cost1 < dp[vtx1]:
dp[vtx1] = cost + cost1
heappush(q, (cost + cost1, vtx1))
return dp
dp = []
line = input()
n = int(line)
edge = {}
for _ in range(0, n - 1):
line = input()
s, t, d = list(map(int, line.split()))
if s not in edge:
edge[s] = [[t, d]]
else:
edge[s] += [[t, d]]
if t not in edge:
edge[t] = [[s, d]]
else:
edge[t] += [[s, d]]
dp = dijkstra(0, n, edge)
i = [j for j, x in enumerate(dp) if x == max(dp)]
dp = dijkstra(i[0], n, edge)
diam = max(dp[i] if dp[i] != INF else 0 for i in range(0, n))
print(diam)
|
s900104419 | p02371 | u943441430 | 1559282570 | Python | Python3 | py | Runtime Error | 20 | 6220 | 665 | def solve(prev, r, dic):
d = 0
t = r
if r in dic:
for vtx, cost in dic[r]:
if vtx == prev:
continue
d1, t1 = solve(r, vtx, dic)
d1 += cost
if d < d1:
d = d1
t = t1
return d, t
line = input()
n = int(line)
edge = {}
for _ in range(0, n - 1):
line = input()
s, t, d = list(map(int, line.split()))
if s not in edge:
edge[s] = [[t, d]]
else:
edge[s] += [[t, d]]
if t not in edge:
edge[t] = [[s, d]]
else:
edge[t] += [[s, d]]
r1, t1 = solve(-1, 0, edge)
r2, t2 = solve(-1, t1, edge)
print(r2)
|
s896418709 | p02371 | u943441430 | 1559282654 | Python | Python3 | py | Runtime Error | 20 | 6220 | 665 | def solve(prev, r, dic):
d = 0
t = r
if r in dic:
for vtx, cost in dic[r]:
if vtx == prev:
continue
d1, t1 = solve(r, vtx, dic)
d1 += cost
if d < d1:
d = d1
t = t1
return d, t
line = input()
n = int(line)
edge = {}
for _ in range(0, n - 1):
line = input()
s, t, d = list(map(int, line.split()))
if s not in edge:
edge[s] = [[t, d]]
else:
edge[s] += [[t, d]]
if t not in edge:
edge[t] = [[s, d]]
else:
edge[t] += [[s, d]]
r1, t1 = solve(-1, 0, edge)
r2, t2 = solve(-1, t1, edge)
print(r2)
|
s015717608 | p02371 | u943441430 | 1559285284 | Python | Python3 | py | Runtime Error | 290 | 16788 | 707 | import sys
sys.setrecursionlimit(10000)
def solve(prev, r, dic):
d = 0
t = r
if r in dic:
for vtx, cost in dic[r]:
if vtx == prev:
continue
d1, t1 = solve(r, vtx, dic)
d1 += cost
if d < d1:
d = d1
t = t1
return d, t
line = input()
n = int(line)
edge = {}
for _ in range(0, n - 1):
line = input()
s, t, d = list(map(int, line.split()))
if s not in edge:
edge[s] = [[t, d]]
else:
edge[s] += [[t, d]]
if t not in edge:
edge[t] = [[s, d]]
else:
edge[t] += [[s, d]]
r1, t1 = solve(-1, 0, edge)
r2, t2 = solve(-1, t1, edge)
print(r2)
|
s948763989 | p02371 | u943441430 | 1559285310 | Python | Python3 | py | Runtime Error | 820 | 43928 | 707 | import sys
sys.setrecursionlimit(50000)
def solve(prev, r, dic):
d = 0
t = r
if r in dic:
for vtx, cost in dic[r]:
if vtx == prev:
continue
d1, t1 = solve(r, vtx, dic)
d1 += cost
if d < d1:
d = d1
t = t1
return d, t
line = input()
n = int(line)
edge = {}
for _ in range(0, n - 1):
line = input()
s, t, d = list(map(int, line.split()))
if s not in edge:
edge[s] = [[t, d]]
else:
edge[s] += [[t, d]]
if t not in edge:
edge[t] = [[s, d]]
else:
edge[t] += [[s, d]]
r1, t1 = solve(-1, 0, edge)
r2, t2 = solve(-1, t1, edge)
print(r2)
|
s205742847 | p02371 | u943441430 | 1559285339 | Python | Python3 | py | Runtime Error | 750 | 43924 | 708 | import sys
sys.setrecursionlimit(100000)
def solve(prev, r, dic):
d = 0
t = r
if r in dic:
for vtx, cost in dic[r]:
if vtx == prev:
continue
d1, t1 = solve(r, vtx, dic)
d1 += cost
if d < d1:
d = d1
t = t1
return d, t
line = input()
n = int(line)
edge = {}
for _ in range(0, n - 1):
line = input()
s, t, d = list(map(int, line.split()))
if s not in edge:
edge[s] = [[t, d]]
else:
edge[s] += [[t, d]]
if t not in edge:
edge[t] = [[s, d]]
else:
edge[t] += [[s, d]]
r1, t1 = solve(-1, 0, edge)
r2, t2 = solve(-1, t1, edge)
print(r2)
|
s751108930 | p02371 | u567380442 | 1428235656 | Python | Python3 | py | Runtime Error | 40 | 6756 | 847 | def postorder(g):
parent_stack = [None]
dfs_stack = [(0, None)]
while dfs_stack:
u, prev = dfs_stack.pop()
dfs_stack.extend((t, u) for d, t in g[u])
while parent_stack[-1] != prev:
yield parent_stack.pop()
parent_stack.append(u)
while parent_stack[-1] is not None:
yield parent_stack.pop()
from sys import stdin
from collections import defaultdict
readline = stdin.readline
n = int(readline())
g = defaultdict(list)
for _ in range(n - 1):
s, t, d = map(int, readline().split())
g[s].append((d, t))
diameter = []
dp = [0] * n
for i in postorder(g):
if len(g[i]) == 0:
continue
candidate = sorted(d + dp[t] for d, t in g[i])
dp[i] = candidate[-1]
diameter.append(dp[i] if len(g[i]) == 1 else sum(candidate[-2:]))
print(max(diameter)) |
s832427108 | p02371 | u567380442 | 1428236297 | Python | Python3 | py | Runtime Error | 30 | 6764 | 945 | def root(g):
return set(g.keys()).difference({y for x in g.values() for y in x}).pop()
def postorder(g):
parent_stack = [None]
dfs_stack = [(root(g), None)]
while dfs_stack:
u, prev = dfs_stack.pop()
dfs_stack.extend((t, u) for d, t in g[u])
while parent_stack[-1] != prev:
yield parent_stack.pop()
parent_stack.append(u)
while parent_stack[-1] is not None:
yield parent_stack.pop()
from sys import stdin
from collections import defaultdict
readline = stdin.readline
n = int(readline())
g = defaultdict(list)
for _ in range(n - 1):
s, t, d = map(int, readline().split())
g[s].append((d, t))
diameter = []
dp = [0] * n
for i in postorder(g):
if len(g[i]) == 0:
continue
candidate = sorted(d + dp[t] for d, t in g[i])
dp[i] = candidate[-1]
diameter.append(dp[i] if len(g[i]) == 1 else sum(candidate[-2:]))
print(max(diameter)) |
s849577171 | p02371 | u072053884 | 1477707059 | Python | Python3 | py | Runtime Error | 230 | 15936 | 553 | # Acceptance of input
import sys
f_i = sys.stdin
n = int(f_i.readline())
edges = [[None] * n for i in range(n)]
for l_i in f_i:
s, t, w = map(int, l_i.split())
edges[s][t] = w
edges[t][s] = w
# Tree Walk and Output
distance = [0] * n
def tree_walk(u, d, p):
for v, e in enumerate(edges[u]):
if e != None and v != p:
c_d = d + e
distance[v] = c_d
tree_walk(v, c_d, u)
tree_walk(0, 0, None)
end_point = distance.index(max(distance))
tree_walk(end_point, 0, None)
print(max(distance)) |
s793960812 | p02371 | u072053884 | 1477759074 | Python | Python3 | py | Runtime Error | 30 | 8028 | 1470 | # Acceptance of input
import sys
f_i = sys.stdin
n = int(f_i.readline())
edges = [[None] * n for i in range(n)]
for l_i in f_i:
s, t, w = map(int, l_i.split())
edges[s][t] = w
edges[t][s] = w
# dfs tree walk 1
import collections
path = collections.deque()
path.append(0)
distance = 0
max_distance = 0
unvisited = [False] + [True] * (n - 1)
while True:
u = path[-1]
adj_e = edges[u]
for v, e in enumerate(adj_e):
if unvisited[v] and e != None:
path.append(v)
distance += e
unvisited[v] = False
if max_distance < distance:
max_distance = distance
end_point = v
break
if u == path[-1]:
path.pop()
if path:
distance -= edges[u][path[-1]]
else:
break
# Measurement of diameter(dfs tree walk 2)
path.append(end_point)
distance = 0
diameter = 0
unvisited = [True] * n
unvisited[end_point] = False
while True:
u = path[-1]
adj_e = edges[u]
for v, e in enumerate(adj_e):
if unvisited[v] and e != None:
path.append(v)
distance += e
unvisited[v] = False
if diameter < distance:
diameter = distance
end_point = v
break
if u == path[-1]:
path.pop()
if path:
distance -= edges[u][path[-1]]
else:
break
# output
print(diameter) |
s307578639 | p02371 | u072053884 | 1477830715 | Python | Python3 | py | Runtime Error | 150 | 20612 | 566 | # Acceptance of input
import sys
f_i = sys.stdin
n = int(f_i.readline())
edges = [[] for i in range(n)]
for l_i in f_i:
s, t, w = map(int, l_i.split())
edges[s].append([t, w])
edges[t].append([s, w])
# Tree Walk and Output
distance = [0] * n
sys.setrecursionlimit(10000)
def tree_walk(u, d, p):
for v, w in edges[u]:
if v != p:
c_d = d + w
distance[v] = c_d
tree_walk(v, c_d, u)
tree_walk(0, 0, None)
end_point = distance.index(max(distance))
tree_walk(end_point, 0, None)
print(max(distance)) |
s361206091 | p02371 | u072053884 | 1477830786 | Python | Python3 | py | Runtime Error | 500 | 94944 | 567 | # Acceptance of input
import sys
f_i = sys.stdin
n = int(f_i.readline())
edges = [[] for i in range(n)]
for l_i in f_i:
s, t, w = map(int, l_i.split())
edges[s].append([t, w])
edges[t].append([s, w])
# Tree Walk and Output
distance = [0] * n
sys.setrecursionlimit(100000)
def tree_walk(u, d, p):
for v, w in edges[u]:
if v != p:
c_d = d + w
distance[v] = c_d
tree_walk(v, c_d, u)
tree_walk(0, 0, None)
end_point = distance.index(max(distance))
tree_walk(end_point, 0, None)
print(max(distance)) |
s378573805 | p02371 | u072053884 | 1477830822 | Python | Python3 | py | Runtime Error | 510 | 94916 | 567 | # Acceptance of input
import sys
f_i = sys.stdin
n = int(f_i.readline())
edges = [[] for i in range(n)]
for l_i in f_i:
s, t, w = map(int, l_i.split())
edges[s].append([t, w])
edges[t].append([s, w])
# Tree Walk and Output
distance = [0] * n
sys.setrecursionlimit(200000)
def tree_walk(u, d, p):
for v, w in edges[u]:
if v != p:
c_d = d + w
distance[v] = c_d
tree_walk(v, c_d, u)
tree_walk(0, 0, None)
end_point = distance.index(max(distance))
tree_walk(end_point, 0, None)
print(max(distance)) |
s725953730 | p02371 | u260980560 | 1500111153 | Python | Python | py | Runtime Error | 0 | 0 | 591 | while 1:
n = input()
if n == 0:
break
G = [[] for i in xrange(n)]
for i in xrange(n-1):
s, t, w = map(int, raw_input().split())
G[s].append((t, w))
G[t].append((s, w))
def dfs(s, prev):
if prev != -1 and len(G[s]) == 1:
return (0, s)
res = (0, -1)
for t, w in G[s]:
if t == prev:
continue
cost, v = dfs(t, s)
res = max(res, (cost + w, v))
return res
co, t = dfs(0, -1)
if t != -1:
print dfs(t, -1)[0]
else:
print 0 |
s830985785 | p02371 | u260980560 | 1500111176 | Python | Python | py | Runtime Error | 0 | 0 | 631 | import sys
sys.setrecursionlimit(10**6)
while 1:
n = input()
if n == 0:
break
G = [[] for i in xrange(n)]
for i in xrange(n-1):
s, t, w = map(int, raw_input().split())
G[s].append((t, w))
G[t].append((s, w))
def dfs(s, prev):
if prev != -1 and len(G[s]) == 1:
return (0, s)
res = (0, -1)
for t, w in G[s]:
if t == prev:
continue
cost, v = dfs(t, s)
res = max(res, (cost + w, v))
return res
co, t = dfs(0, -1)
if t != -1:
print dfs(t, -1)[0]
else:
print 0 |
s285166837 | p02371 | u260980560 | 1500111221 | Python | Python | py | Runtime Error | 470 | 91060 | 509 | import sys
sys.setrecursionlimit(10**6)
n = input()
G = [[] for i in xrange(n)]
for i in xrange(n-1):
s, t, w = map(int, raw_input().split())
G[s].append((t, w))
G[t].append((s, w))
def dfs(s, prev):
if prev != -1 and len(G[s]) == 1:
return (0, s)
res = (0, -1)
for t, w in G[s]:
if t == prev:
continue
cost, v = dfs(t, s)
res = max(res, (cost + w, v))
return res
co, t = dfs(0, -1)
if t != -1:
print dfs(t, -1)[0]
else:
print 0 |
s656967478 | p02371 | u260980560 | 1500111591 | Python | Python | py | Runtime Error | 490 | 95028 | 474 | import sys
sys.setrecursionlimit(10**6)
n = input()
G = [[] for i in xrange(n)]
for i in xrange(n-1):
s, t, w = map(int, raw_input().split())
G[s].append((t, w))
G[t].append((s, w))
def dfs(s, prev):
if prev != -1 and len(G[s]) == 1:
return (0, s)
res = (0, s)
for t, w in G[s]:
if t == prev:
continue
cost, v = dfs(t, s)
res = max(res, (cost + w, v))
return res
co, t = dfs(0, -1)
print dfs(t, -1)[0] |
s319285156 | p02371 | u426534722 | 1501104919 | Python | Python3 | py | Runtime Error | 0 | 0 | 718 | import sys
readline = sys.stdin.readline
from collections import deque
from math import isinf
INF = float("inf")
sys.setrecursionlimit(200000)
n = int(readline())
G = [[] for _ in range(n)]
for _ in [0] * (n - 1):
s, t, w = map(int, readline().split())
G[s].append([t, w])
G[t].append([s, w])
def bfs(s, D):
dq = deque([s])
D = [INF] * n
D[s] = 0
while dq:
u = dq.popleft()
for i in range(len(G[u])):
e = G[u][i]
if isinf(D[e[0]]):
D[e[0]] = D[u] + e[1]
dq.append(e[0])
return D
D = bfs(0, D)
D = bfs(max([i for i in range(n) if not isinf(D[i]) and 0 < D[i]]))
print(max(D[i] for i in range(n) if not isinf(D[i]))) |
s350380047 | p02371 | u798803522 | 1508662368 | Python | Python3 | py | Runtime Error | 60 | 8412 | 868 | from collections import defaultdict
def dfs(source, used, all_weight, connect):
max_weight = all_weight
max_source = source
used[source] = 1
for target, weight in connect[source]:
if not used[target]:
now_weight = all_weight + weight
this_source, this_weight = dfs(target, used, now_weight, connect)
if max_weight < this_weight:
max_weight = this_weight
max_source = this_source
return [max_source, max_weight]
vertice = int(input())
connect = defaultdict(list)
for _ in range(vertice - 1):
v1, v2, weight = (int(n) for n in input().split(" "))
connect[v1].append([v2, weight])
connect[v2].append([v1, weight])
answer = 0
start_v = 0
for i in range(2):
used = [0 for n in range(vertice)]
start_v, answer = dfs(start_v, used, 0, connect)
print(answer) |
s906142384 | p02371 | u798803522 | 1508662414 | Python | Python3 | py | Runtime Error | 830 | 54372 | 909 | from collections import defaultdict
import sys
sys.setrecursionlimit(100000)
def dfs(source, used, all_weight, connect):
max_weight = all_weight
max_source = source
used[source] = 1
for target, weight in connect[source]:
if not used[target]:
now_weight = all_weight + weight
this_source, this_weight = dfs(target, used, now_weight, connect)
if max_weight < this_weight:
max_weight = this_weight
max_source = this_source
return [max_source, max_weight]
vertice = int(input())
connect = defaultdict(list)
for _ in range(vertice - 1):
v1, v2, weight = (int(n) for n in input().split(" "))
connect[v1].append([v2, weight])
connect[v2].append([v1, weight])
answer = 0
start_v = 0
for i in range(2):
used = [0 for n in range(vertice)]
start_v, answer = dfs(start_v, used, 0, connect)
print(answer) |
s366159095 | p02372 | u138546245 | 1535095693 | Python | Python3 | py | Runtime Error | 20 | 5684 | 3004 | #!/usr/bin/env python3
# GRL_5_B: Tree - Height of a Tree
import bisect
class Edge:
__slots__ = ('v', 'w')
def __init__(self, v, w):
self.v = v
self.w = w
def either(self):
return self.v
def other(self, v):
if v == self.v:
return self.w
else:
return self.v
class WeightedEdge(Edge):
__slots__ = ('v', 'w', 'weight')
def __init__(self, v, w, weight):
super().__init__(v, w)
self.weight = weight
class Graph:
def __init__(self, v):
self.v = v
self._edges = [[] for _ in range(v)]
def add(self, e):
self._edges[e.v].append(e)
self._edges[e.w].append(e)
def adj(self, v):
return self._edges[v]
def edges(self):
for es in self._edges:
for e in es:
yield e
def heights(graph):
def select_root():
leaves = [v for v in range(graph.v) if len(graph.adj(v)) == 1]
visited = [False] * graph.v
while len(leaves) > 2:
v, *leaves = leaves
if not visited[v]:
visited[v] = True
for e in graph.adj(v):
w = e.other(v)
if not visited[w]:
visited[w] = True
leaves.append(w)
return leaves.pop()
def dfs(s):
visited = [False] * graph.v
stack = [s]
while stack:
v = stack.pop()
if not visited[v]:
visited[v] = True
stack.append(v)
for e in graph.adj(v):
w = e.other(v)
if not visited[w]:
edge_to[w] = e
stack.append(w)
else:
e = edge_to[v]
if e is not None:
w = e.other(v)
bisect.insort(dists[w], (dists[v][-1][0] + e.weight, v))
def _heights(s):
hs = [0] * graph.v
visited = [False] * graph.v
stack = [s]
while stack:
v = stack.pop()
if not visited[v]:
visited[v] = True
hs[v] = dists[v][-1][0]
for e in graph.adj(v):
w = e.other(v)
if not visited[w]:
for x, xv in reversed(dists[v]):
if xv != w:
bisect.insort(dists[w], (x + e.weight, v))
break
stack.append(w)
return hs
root = select_root()
edge_to = [None] * graph.v
dists = [[(0, i)] for i in range(graph.v)]
dfs(root)
return _heights(root)
def run():
n = int(input())
g = Graph(n)
for _ in range(n-1):
s, t, w = [int(i) for i in input().split()]
g.add(WeightedEdge(s, t, w))
for w in heights(g):
print(w)
if __name__ == '__main__':
run()
|
s522342851 | p02372 | u567380442 | 1428286644 | Python | Python3 | py | Runtime Error | 30 | 6800 | 1400 | from sys import stdin
from collections import defaultdict
readline = stdin.readline
def main():
n = int(readline())
g = defaultdict(list)
for _ in range(n - 1):
s, t, d = map(int, readline().split())
g[s].append([d, t])
dp = defaultdict(dict)
r = root(g)
for i in postorder(g, r):
if len(g[i]) == 0:
continue
for di, ti in g[i]:
dp[i][ti] = di
if g[ti]:
dp[i][ti] += max(dp[ti].values())
height = [None] * n
for i in preorder(g, r):
height[i] = max(dp[i].values())
for d, t in g[i]:
dp[t][i] = d
if 1 < len(dp[i]):
dp[t][i] += max(v for k, v in dp[i].items() if k != t)
print('\n'.join(map(str, height)))
def root(g):
return set(g.keys()).difference({t for x in g.values() for d, t in x}).pop()
def preorder(g, r):
dfs_stack = [r]
while dfs_stack:
u = dfs_stack.pop()
yield(u)
dfs_stack.extend(t for d, t in g[u])
def postorder(g, r):
parent_stack = []
dfs_stack = [(r, None)]
while dfs_stack:
u, prev = dfs_stack.pop()
dfs_stack.extend((t, u) for d, t in g[u])
while parent_stack and parent_stack[-1] != prev:
yield parent_stack.pop()
parent_stack.append(u)
while parent_stack:
yield parent_stack.pop()
main() |
s750439590 | p02372 | u797673668 | 1461663787 | Python | Python3 | py | Runtime Error | 30 | 7752 | 1027 | import sys
from operator import itemgetter
sys.setrecursionlimit(200000)
def dfs(u, prev):
global post_order, pre_order
pre_order.append((u, prev))
for w, t in edges[u]:
if t != prev:
dfs(t, u)
post_order.append(u)
n = int(input())
edges = [set() for _ in range(n)]
for _ in range(n - 1):
s, t, w = map(int, input().split())
edges[s].add((w, t))
edges[t].add((w, s))
post_order, pre_order = [], []
farthest = [{} for _ in range(n)]
height = [0] * n
dfs(0, None)
for i in post_order:
for w, t in edges[i]:
farthest[i][t] = w + max((d for tt, d in farthest[t].items() if tt != i), default=0)
for i, parent in pre_order:
sorted_farthest = sorted(farthest[i].items(), key=itemgetter(1))
max_t, max_d = sorted_farthest.pop()
height[i] = max_d
for w, t in edges[i]:
if t == parent:
continue
farthest[t][i] = w + ((max_d if t != max_t else sorted_farthest[-1][1]) if sorted_farthest else 0)
for h in height:
print(h) |
s899231018 | p02372 | u798803522 | 1508670418 | Python | Python3 | py | Runtime Error | 0 | 0 | 1041 | from collections import defaultdict
import sys
sys.setrecursionlimit(200000)
def dfs(source, edge_index, connect):
if connect[source][edge_index][2] >= 0:
return connect[source][edge_index][2]
this_edge = connect[source][edge_index]
this_edge[2] = this_edge[1]
dest = this_edge[0]
for i, (next_dest, weight, all_weight) in enumerate(connect[dest]):
if next_dest != source:
this_edge[2] = max(this_edge[2], dfs(dest, i, connect) + this_edge[1])
return this_edge[2]
v_num = int(input())
connect = defaultdict(list)
for _ in range(v_num - 1):
v1, v2, weight = (int(n) for n in input().split(" "))
connect[v1].append([v2, weight, -1])
connect[v2].append([v1, weight, -1])
for v in range(vertice):
for i, (next_dest, weight, all_weight) in enumerate(connect[v]):
connect[v][i][2] = dfs(v, i, connect)
for v in range(vertice):
answer = 0
for i, (next_dest, weight, all_weight) in enumerate(connect[v]):
answer = max(answer, all_weight)
print(answer) |
s175574039 | p02372 | u798803522 | 1508671622 | Python | Python3 | py | Runtime Error | 0 | 0 | 1321 | from collections import defaultdict
import sys
sys.setrecursionlimit(200000)
def dfs(source, edge_index, connect, used):
if used[source] or connect[source][edge_index][2] >= 0:
return connect[source][edge_index][2]
used[source] = 1
this_edge = connect[source][edge_index]
this_edge[2] = this_edge[1]
dest = this_edge[0]
for i, (next_dest, weight, all_weight) in enumerate(connect[dest]):
if next_dest != source:
if connect[dest][i][2] < 0:
this_edge[2] = max(this_edge[2], dfs(dest, i, connect) + this_edge[1], used)
else:
this_edge[2] = max(this_edge[2], connect[dest][i][2] + this_edge[1])
return this_edge[2]
v_num = int(input())
connect = defaultdict(list)
for _ in range(v_num - 1):
v1, v2, weight = (int(n) for n in input().split(" "))
connect[v1].append([v2, weight, -1])
connect[v2].append([v1, weight, -1])
for v in range(v_num):
for i, (next_dest, weight, all_weight) in enumerate(connect[v]):
if connect[v][i][2] < 0:
used = [0 for n in range(v_num)]
connect[v][i][2] = dfs(v, i, connect, used)
for v in range(v_num):
answer = 0
for i, (next_dest, weight, all_weight) in enumerate(connect[v]):
answer = max(answer, all_weight)
print(answer) |
s403533908 | p02372 | u798803522 | 1508675521 | Python | Python3 | py | Runtime Error | 0 | 0 | 1645 | # for undirected graph
from collections import defaultdict
import sys
sys.setrecursionlimit(200000)
def dfs(source, edge_index, connect, used):
if connect[source][edge_index][3] or connect[source][edge_index][2] >= 0:
return connect[source][edge_index][2]
connect[source][edge_index][3] = 1
this_edge = connect[source][edge_index]
this_edge[2] = this_edge[1]
dest = this_edge[0]
rev_i = this_edge[4]
for i, (next_dest, weight, all_weight, f, rev_i) in enumerate(connect[dest]):
if next_dest != source:
if connect[dest][i][2] < 0:
this_edge[2] = max(this_edge[2], dfs(dest, i, connect, used) + this_edge[1])
connect[dist][rev_i][2] = this_edge[2]
else:
this_edge[2] = max(this_edge[2], connect[dest][i][2] + this_edge[1])
connect[dist][rev_i][2] = this_edge[2]
return this_edge[2]
v_num = int(input())
connect = defaultdict(list)
for _ in range(v_num - 1):
v1, v2, weight = (int(n) for n in input().split(" "))
connect[v1].append([v2, weight, -1, 0, len(connect[v2])])
connect[v2].append([v1, weight, -1, 0, len(connect[v1]) - 1])
for v in range(v_num):
for i, (next_dest, weight, all_weight, f, rev_i) in enumerate(connect[v]):
if connect[v][i][2] < 0:
used = [0 for n in range(v_num)]
connect[v][i][2] = dfs(v, i, connect, used)
connect[next_dest][rev_i][2] = connect[v][i][2]
for v in range(v_num):
answer = 0
for i, (next_dest, weight, all_weight, f) in enumerate(connect[v]):
answer = max(answer, all_weight)
print(answer) |
s076566577 | p02372 | u798803522 | 1508681398 | Python | Python3 | py | Runtime Error | 0 | 0 | 1721 | # for undirected graph
from collections import defaultdict
import sys
sys.setrecursionlimit(200000)
def dfs(source, edge_index, connect):
if connect[source][edge_index][3] or connect[source][edge_index][2] >= 0:
return connect[source][edge_index][2]
connect[source][edge_index][3] = 1
this_edge = connect[source][edge_index]
this_edge[2] = this_edge[1]
dest = this_edge[0]
rev_i = this_edge[4]
for i, (next_dest, weight, all_weight, f, rev_i) in enumerate(connect[dest]):
if next_dest != source:
if connect[dest][i][2] < 0:
this_edge[2] = max(this_edge[2], dfs(dest, i, connect) + this_edge[1])
# connect[dest][rev_i][2] = this_edge[2]
else:
this_edge[2] = max(this_edge[2], connect[dest][i][2] + this_edge[1])
# connect[dest][rev_i][2] = this_edge[2]
return this_edge[2]
v_num = int(input())
connect = defaultdict(list)
for _ in range(v_num - 1):
v1, v2, weight = (int(n) for n in input().split(" "))
connect[v1].append([v2, weight, -1, 0, len(connect[v2])])
connect[v2].append([v1, weight, -1, 0, len(connect[v1]) - 1])
for v in range(v_num):
for i, (next_dest, weight, all_weight, f, rev_i) in enumerate(connect[v]):
if connect[v][i][2] < 0 and connect[next_dest][rev_i] < 0:
connect[v][i][2] = dfs(v, i, connect)
# connect[next_dest][rev_i][2] = connect[v][i][2]
else:
connect[v][i][2] = max(connect[next_dest][rev_i], connect[v][i][2])
for v in range(v_num):
answer = 0
for i, (next_dest, weight, all_weight, f, rev) in enumerate(connect[v]):
answer = max(answer, all_weight)
print(answer) |
s050646246 | p02372 | u798803522 | 1508681433 | Python | Python3 | py | Runtime Error | 0 | 0 | 1687 | # for undirected graph
from collections import defaultdict
import sys
sys.setrecursionlimit(200000)
def dfs(source, edge_index, connect):
if connect[source][edge_index][3] or connect[source][edge_index][2] >= 0:
return connect[source][edge_index][2]
connect[source][edge_index][3] = 1
this_edge = connect[source][edge_index]
this_edge[2] = this_edge[1]
dest = this_edge[0]
rev_i = this_edge[4]
for i, (next_dest, weight, all_weight, f, rev_i) in enumerate(connect[dest]):
if next_dest != source:
if connect[dest][i][2] < 0:
this_edge[2] = max(this_edge[2], dfs(dest, i, connect) + this_edge[1])
# connect[dest][rev_i][2] = this_edge[2]
else:
this_edge[2] = max(this_edge[2], connect[dest][i][2] + this_edge[1])
# connect[dest][rev_i][2] = this_edge[2]
return this_edge[2]
v_num = int(input())
connect = defaultdict(list)
for _ in range(v_num - 1):
v1, v2, weight = (int(n) for n in input().split(" "))
connect[v1].append([v2, weight, -1, 0, len(connect[v2])])
connect[v2].append([v1, weight, -1, 0, len(connect[v1]) - 1])
for v in range(v_num):
for i, (next_dest, weight, all_weight, f, rev_i) in enumerate(connect[v]):
if connect[v][i][2] < 0:
connect[v][i][2] = dfs(v, i, connect)
# connect[next_dest][rev_i][2] = connect[v][i][2]
else:
connect[v][i][2] = max(connect[next_dest][rev_i], connect[v][i][2])
for v in range(v_num):
answer = 0
for i, (next_dest, weight, all_weight, f, rev) in enumerate(connect[v]):
answer = max(answer, all_weight)
print(answer) |
s656616893 | p02373 | u082657995 | 1556376524 | Python | Python3 | py | Runtime Error | 20 | 5624 | 1752 | class Lca:
def __init__(self, E, root):
import sys
sys.setrecursionlimit(500000)
self.root = root
self.E = E # V<V>
self.n = len(E) # 頂点数
self.logn = 0
while self.n > (1<<self.logn):
self.logn += 1
# parent[n][v] = ノード v から 1<<n 個親をたどったノード
self.parent = [[-1]*self.n for _ in range(self.logn)]
self.depth = [0] * self.n
self.dfs(root, -1, 0)
for k in range(self.logn-1):
for v in range(self.n):
p_ = self.parent[k][v]
if p_ >= 0:
self.parent[k+1][v] = self.parent[k][p_]
def dfs(self, v, p, dep):
# ノード番号、親のノード番号、深さ
self.parent[0][v] = p
self.depth[v] = dep
for e in self.E[v]:
if e != p:
self.dfs(e, v, dep+1)
def get(self, u, v):
if self.depth[u] > self.depth[v]:
u, v = v, u # self.depth[u] <= self.depth[v]
dep_diff = self.depth[v]-self.depth[u]
for k in range(self.logn):
if dep_diff >> k & 1:
v = self.parent[k][v]
if u==v:
return u
for k in range(self.logn-1, -1, -1):
if self.parent[k][u] != self.parent[k][v]:
u = self.parent[k][u]
v = self.parent[k][v]
return self.parent[0][u]
n = int(input())
E = [[] for _ in range(n)]
for i in range(n):
kc = list(map(int, input().split()))
k = kc[0]
for c in kc[1:]:
E[i].append(c)
E[c].append(i)
lca = Lca(E, 0)
Q = int(input())
for _ in range(Q):
u, v = map(int, input().split())
print(lca.get(u, v))
|
s977228897 | p02373 | u894114233 | 1471704708 | Python | Python | py | Runtime Error | 480 | 19080 | 1345 | # -*- coding: utf-8 -*-
from math import log
def dfs(v,p,d):
parent[0][v]=p
depth[v]=d
for i in xrange(len(G[v])):
if G[v][i]!=p:
dfs(G[v][i],v,d+1)
def init(vn,root):
dfs(root,-1,0)
k=0
while k+1<log(vn,2):
for v in xrange(vn):
if parent[k][v]<0:
parent[k+1][v]=-1
else:
parent[k+1][v]=parent[k][parent[k][v]]
k+=1
def lca(u,v,vn):
if depth[u]>depth[v]:u,v=v,u
k=0
while k<log(vn,2):
if (depth[v]-depth[u])>>k&1:
v=parent[k][v]
k+=1
if u==v:return u
for k in xrange(int(log(vn,2))-1,-1,-1):
if parent[k][u]!=parent[k][v]:
u=parent[k][u]
v=parent[k][v]
return parent[0][u]
vn=int(raw_input()) #????????°
G=[[] for _ in xrange(vn)] #??£??\?????????
parent=[[-1]*vn for _ in xrange(int(log(vn,2))+1)] #parent[k][u]:??????u??????2^k????????????????????£?????¨????????????
depth=[0]*vn #depth[u]:??????u?????????????????±??????????????±??????0
root=0 #??????????????????
for i in xrange(vn):
en=map(int,raw_input().split())
c=en[1:] #????????????i??????
G[i]=c
init(vn,root)
q=int(raw_input())
for _ in xrange(q):
u,v=map(int,raw_input().split())
print(lca(u,v,vn)) |
s649570266 | p02373 | u894114233 | 1471704919 | Python | Python | py | Runtime Error | 1080 | 82012 | 1385 | # -*- coding: utf-8 -*-
from math import log
import sys
sys.setrecursionlimit(10**7)
def dfs(v,p,d):
parent[0][v]=p
depth[v]=d
for i in xrange(len(G[v])):
if G[v][i]!=p:
dfs(G[v][i],v,d+1)
def init(vn,root):
dfs(root,-1,0)
k=0
while k+1<log(vn,2):
for v in xrange(vn):
if parent[k][v]<0:
parent[k+1][v]=-1
else:
parent[k+1][v]=parent[k][parent[k][v]]
k+=1
def lca(u,v,vn):
if depth[u]>depth[v]:u,v=v,u
k=0
while k<log(vn,2):
if (depth[v]-depth[u])>>k&1:
v=parent[k][v]
k+=1
if u==v:return u
for k in xrange(int(log(vn,2))-1,-1,-1):
if parent[k][u]!=parent[k][v]:
u=parent[k][u]
v=parent[k][v]
return parent[0][u]
vn=int(raw_input()) #????????°
G=[[] for _ in xrange(vn)] #??£??\?????????
parent=[[-1]*vn for _ in xrange(int(log(vn,2))+1)] #parent[k][u]:??????u??????2^k????????????????????£?????¨????????????
depth=[0]*vn #depth[u]:??????u?????????????????±??????????????±??????0
root=0 #??????????????????
for i in xrange(vn):
en=map(int,raw_input().split())
c=en[1:] #????????????i??????
G[i]=c
init(vn,root)
q=int(raw_input())
for _ in xrange(q):
u,v=map(int,raw_input().split())
print(lca(u,v,vn)) |
s423519560 | p02373 | u894114233 | 1471704965 | Python | Python | py | Runtime Error | 1100 | 81980 | 1385 | # -*- coding: utf-8 -*-
from math import log
import sys
sys.setrecursionlimit(10**9)
def dfs(v,p,d):
parent[0][v]=p
depth[v]=d
for i in xrange(len(G[v])):
if G[v][i]!=p:
dfs(G[v][i],v,d+1)
def init(vn,root):
dfs(root,-1,0)
k=0
while k+1<log(vn,2):
for v in xrange(vn):
if parent[k][v]<0:
parent[k+1][v]=-1
else:
parent[k+1][v]=parent[k][parent[k][v]]
k+=1
def lca(u,v,vn):
if depth[u]>depth[v]:u,v=v,u
k=0
while k<log(vn,2):
if (depth[v]-depth[u])>>k&1:
v=parent[k][v]
k+=1
if u==v:return u
for k in xrange(int(log(vn,2))-1,-1,-1):
if parent[k][u]!=parent[k][v]:
u=parent[k][u]
v=parent[k][v]
return parent[0][u]
vn=int(raw_input()) #????????°
G=[[] for _ in xrange(vn)] #??£??\?????????
parent=[[-1]*vn for _ in xrange(int(log(vn,2))+1)] #parent[k][u]:??????u??????2^k????????????????????£?????¨????????????
depth=[0]*vn #depth[u]:??????u?????????????????±??????????????±??????0
root=0 #??????????????????
for i in xrange(vn):
en=map(int,raw_input().split())
c=en[1:] #????????????i??????
G[i]=c
init(vn,root)
q=int(raw_input())
for _ in xrange(q):
u,v=map(int,raw_input().split())
print(lca(u,v,vn)) |
s241355782 | p02373 | u022407960 | 1481776093 | Python | Python3 | py | Runtime Error | 30 | 7968 | 1801 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
input:
16
3 1 2 3
3 4 5 6
0
2 7 8
0
2 9 10
2 14 15
0
0
0
3 11 12 13
0
0
0
0
0
10
1 3
4 5
4 9
4 10
4 13
9 13
9 14
9 8
13 14
13 7
output:
0
1
1
1
1
5
1
0
1
0
"""
import sys
import math
def dfs(v, v_parent, v_depth):
parent[0][v] = v_parent
depth[v] = v_depth
for adj in adj_table[v]:
if adj != v_parent:
dfs(adj, v, v_depth + 1)
return None
def dfs_init():
dfs(root, -1, 0)
for k in range(v_log - 1):
for v in range(v_num):
if parent[k][v] < 0:
parent[k + 1][v] = -1
else:
parent[k + 1][v] = parent[k][parent[k][v]]
return None
def lca(u, v):
if depth[u] > depth[v]:
u, v = v, u
for k in range(v_log):
if (depth[v] - depth[u]) >> k & 1:
v = parent[k][v]
if u == v:
return u
for k in range(v_log - 1, -1, -1):
if parent[k][u] != parent[k][v]:
u = parent[k][u]
v = parent[k][v]
return parent[0][u]
def cmd_exec():
for query in c_queries:
q1, q2 = map(int, query)
print(lca(q1, q2))
return None
if __name__ == '__main__':
_input = sys.stdin.readlines()
v_num = int(_input[0])
c_edges = map(lambda x: x.split(), _input[1:v_num + 1])
q_num = int(_input[v_num + 1])
c_queries = map(lambda x: x.split(), _input[v_num + 2:])
v_log = math.floor(math.log2(v_num))
parent = [[-1] * v_num for _ in range(v_log)]
depth = [-1] * v_num
root = 0
adj_table = tuple([] for _ in range(v_num))
for idx, edge in enumerate(c_edges):
c_num, *children = map(int, edge)
# assert len(children) == c_num
adj_table[idx].extend(children)
dfs_init()
cmd_exec() |
s474160311 | p02373 | u022407960 | 1481776135 | Python | Python3 | py | Runtime Error | 20 | 7904 | 1834 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
input:
16
3 1 2 3
3 4 5 6
0
2 7 8
0
2 9 10
2 14 15
0
0
0
3 11 12 13
0
0
0
0
0
10
1 3
4 5
4 9
4 10
4 13
9 13
9 14
9 8
13 14
13 7
output:
0
1
1
1
1
5
1
0
1
0
"""
import sys
import math
sys.setrecursionlimit(int(1e5))
def dfs(v, v_parent, v_depth):
parent[0][v] = v_parent
depth[v] = v_depth
for adj in adj_table[v]:
if adj != v_parent:
dfs(adj, v, v_depth + 1)
return None
def dfs_init():
dfs(root, -1, 0)
for k in range(v_log - 1):
for v in range(v_num):
if parent[k][v] < 0:
parent[k + 1][v] = -1
else:
parent[k + 1][v] = parent[k][parent[k][v]]
return None
def lca(u, v):
if depth[u] > depth[v]:
u, v = v, u
for k in range(v_log):
if (depth[v] - depth[u]) >> k & 1:
v = parent[k][v]
if u == v:
return u
for k in range(v_log - 1, -1, -1):
if parent[k][u] != parent[k][v]:
u = parent[k][u]
v = parent[k][v]
return parent[0][u]
def cmd_exec():
for query in c_queries:
q1, q2 = map(int, query)
print(lca(q1, q2))
return None
if __name__ == '__main__':
_input = sys.stdin.readlines()
v_num = int(_input[0])
c_edges = map(lambda x: x.split(), _input[1:v_num + 1])
q_num = int(_input[v_num + 1])
c_queries = map(lambda x: x.split(), _input[v_num + 2:])
v_log = math.floor(math.log2(v_num))
parent = [[-1] * v_num for _ in range(v_log)]
depth = [-1] * v_num
root = 0
adj_table = tuple([] for _ in range(v_num))
for idx, edge in enumerate(c_edges):
c_num, *children = map(int, edge)
# assert len(children) == c_num
adj_table[idx].extend(children)
dfs_init()
cmd_exec() |
s869009376 | p02373 | u022407960 | 1481806461 | Python | Python3 | py | Runtime Error | 30 | 7960 | 1939 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
input:
16
3 1 2 3
3 4 5 6
0
2 7 8
0
2 9 10
2 14 15
0
0
0
3 11 12 13
0
0
0
0
0
10
1 3
4 5
4 9
4 10
4 13
9 13
9 14
9 8
13 14
13 7
output:
0
1
1
1
1
5
1
0
1
0
"""
import sys
import math
sys.setrecursionlimit(int(1e5))
def dfs(v, v_parent, v_depth):
# print(parent, v, v_parent)
parent[0][v] = v_parent
depth[v] = v_depth
for adj in adj_table[v]:
if adj != v_parent:
dfs(adj, v, v_depth + 1)
return None
def dfs_init():
dfs(root, -1, 0)
for k in range(v_log - 1):
for v in range(v_num):
if parent[k][v] < 0:
parent[k + 1][v] = -1
else:
parent[k + 1][v] = parent[k][parent[k][v]]
return None
def lca(u, v):
if depth[u] > depth[v]:
u, v = v, u
for k in range(v_log):
if ((depth[v] - depth[u]) >> k) & 1:
v = parent[k][v]
if u == v:
return u
for k in range(v_log - 1, -1, -1):
if parent[k][u] != parent[k][v]:
u = parent[k][u]
v = parent[k][v]
return parent[0][u]
def cmd_exec():
for query in c_queries:
q1, q2 = map(int, query)
print(lca(q1, q2))
return None
if __name__ == '__main__':
# with open('test.txt', 'r') as f:
# _input = f.readlines()
_input = sys.stdin.readlines()
v_num = int(_input[0])
c_edges = map(lambda x: x.split(), _input[1:v_num + 1])
q_num = int(_input[v_num + 1])
c_queries = map(lambda x: x.split(), _input[v_num + 2:])
v_log = math.floor(math.log2(v_num))
parent = [[-1] * v_num for _ in range(v_log)]
depth = [-1] * v_num
root = 0
adj_table = tuple([] for _ in range(v_num))
for idx, edge in enumerate(c_edges):
c_num, *children = map(int, edge)
assert len(children) == c_num
adj_table[idx].extend(children)
dfs_init()
cmd_exec() |
s560784192 | p02373 | u022407960 | 1481806815 | Python | Python3 | py | Runtime Error | 860 | 105140 | 1939 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
input:
16
3 1 2 3
3 4 5 6
0
2 7 8
0
2 9 10
2 14 15
0
0
0
3 11 12 13
0
0
0
0
0
10
1 3
4 5
4 9
4 10
4 13
9 13
9 14
9 8
13 14
13 7
output:
0
1
1
1
1
5
1
0
1
0
"""
import sys
import math
sys.setrecursionlimit(int(1e5))
def dfs(v, v_parent, v_depth):
# print(parent, v, v_parent)
parent[0][v] = v_parent
depth[v] = v_depth
for adj in adj_table[v]:
if adj != v_parent:
dfs(adj, v, v_depth + 1)
return None
def dfs_init():
dfs(root, -1, 0)
for k in range(v_log - 1):
for v in range(v_num):
if parent[k][v] < 0:
parent[k + 1][v] = -1
else:
parent[k + 1][v] = parent[k][parent[k][v]]
return None
def lca(u, v):
if depth[u] > depth[v]:
u, v = v, u
for k in range(v_log):
if ((depth[v] - depth[u]) >> k) & 1:
v = parent[k][v]
if u == v:
return u
for k in range(v_log - 1, -1, -1):
if parent[k][u] != parent[k][v]:
u = parent[k][u]
v = parent[k][v]
return parent[0][u]
def cmd_exec():
for query in c_queries:
q1, q2 = map(int, query)
print(lca(q1, q2))
return None
if __name__ == '__main__':
# with open('test.txt', 'r') as f:
# _input = f.readlines()
_input = sys.stdin.readlines()
v_num = int(_input[0])
c_edges = map(lambda x: x.split(), _input[1:v_num + 1])
q_num = int(_input[v_num + 1])
c_queries = map(lambda x: x.split(), _input[v_num + 2:])
v_log = math.floor(math.log2(v_num)) + 1
parent = [[-1] * v_num for _ in range(v_log)]
depth = [-1] * v_num
root = 0
adj_table = tuple([] for _ in range(v_num))
for idx, edge in enumerate(c_edges):
c_num, *children = map(int, edge)
assert len(children) == c_num
adj_table[idx].extend(children)
dfs_init()
cmd_exec() |
s989481025 | p02373 | u022407960 | 1481971667 | Python | Python3 | py | Runtime Error | 0 | 0 | 1685 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
input:
3
0.0 0.0
2.0 0.0
1.0 1.0
output:
1.41421356237
"""
import sys
from operator import attrgetter
class ClosestPair(object):
def __init__(self, in_data):
"""
Init closest pairs points set.
"""
self.p_num = int(in_data[0])
points = map(lambda x: x.split(), in_data[1:])
p_list = [complex(float(x), float(y)) for x, y in points]
# pre_sort by axis_X
self.p_list = sorted(p_list, key=attrgetter('real'))
def closest_pair(self, array, array_length):
if array_length <= 1:
return float('inf')
mid_idx = array_length // 2
div_line = array[mid_idx].real
d_min = min(self.closest_pair(array[:mid_idx], mid_idx),
self.closest_pair(array[mid_idx:], array_length - mid_idx))
# sort array_part by axis_Y while recursively comparing
array.sort(key=attrgetter('imag'))
min_stack = list()
for ele in array:
size = len(min_stack)
# eliminate p which distance(p,div_line) >= d
if abs(ele.real - div_line) >= d_min:
continue
for j in range(size):
alt = ele - min_stack[size - j - 1]
if alt.imag >= d_min:
break
d_min = min(d_min, abs(alt))
min_stack.append(ele)
return d_min
def solve(self):
return self.closest_pair(array=self.p_list, array_length=self.p_num)
if __name__ == '__main__':
_input = sys.stdin.readlines()
case = ClosestPair(in_data=_input)
print('{:.6f}'.format(case.solve())) |
s095425140 | p02373 | u022407960 | 1481971749 | Python | Python3 | py | Runtime Error | 0 | 0 | 1697 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
input:
3
0.0 0.0
2.0 0.0
1.0 1.0
output:
1.41421356237
"""
import sys
from operator import attrgetter
class ClosestPair(object):
def __init__(self, in_data):
"""
Init closest pairs points set.
"""
self.p_num = int(in_data[0])
points = map(lambda x: x.split(), in_data[1:])
p_list = [complex(float(x), float(y)) for x, y in points]
# pre_sort by axis_X
p_list.sort(key=attrgetter('real'))
self.p_list = p_list
def closest_pair(self, array, array_length):
if array_length <= 1:
return float('inf')
mid_idx = array_length // 2
div_line = array[mid_idx].real
d_min = min(self.closest_pair(array[:mid_idx], mid_idx),
self.closest_pair(array[mid_idx:], array_length - mid_idx))
# sort array_part by axis_Y while recursively comparing
array.sort(key=attrgetter('imag'))
min_stack = list()
for ele in array:
size = len(min_stack)
# eliminate p which distance(p,div_line) >= d
if abs(ele.real - div_line) >= d_min:
continue
for j in range(size):
alt = ele - min_stack[size - j - 1]
if alt.imag >= d_min:
break
d_min = min(d_min, abs(alt))
min_stack.append(ele)
return d_min
def solve(self):
return self.closest_pair(array=self.p_list, array_length=self.p_num)
if __name__ == '__main__':
_input = sys.stdin.readlines()
case = ClosestPair(in_data=_input)
print('{:.6f}'.format(case.solve())) |
s530115706 | p02373 | u408260374 | 1482328592 | Python | Python3 | py | Runtime Error | 640 | 35864 | 2003 | class Edge:
def __init__(self, dst, weight):
self.dst, self.weight = dst, weight
def __lt__(self, e):
return self.weight > e.weight
class Graph:
def __init__(self, V):
self.V = V
self.E = [[] for _ in range(V)]
def add_edge(self, src, dst, weight):
self.E[src].append(Edge(dst, weight))
class HeavyLightDecomposition:
def __init__(self, g, root=0):
self.g = g
self.vid = [0] * g.V
self.head = [-1] * g.V
self.heavy = [-1] * g.V
self.parent = [-1] * g.V
self.dfs(root)
self.bfs(root)
def dfs(self, v, par=-1):
self.parent[v] = par
sub, max_sub = 1, 0
for e in self.g.E[v]:
child = e.dst
if child != par:
child_sub = self.dfs(child, v)
sub += child_sub
if child_sub > max_sub:
max_sub = child_sub
self.heavy[v] = child
return sub
def bfs(self, root=0):
from collections import deque
k, que = 0, deque([root])
while que:
r = v = que.popleft()
while v != -1:
self.vid[v], self.head[v] = k, r
for e in self.g.E[v]:
if e.dst != self.parent[v] and e.dst != self.heavy[v]:
que.append(e.dst)
k += 1
v = self.heavy[v]
def lca(self, u, v):
while self.head[u] != self.head[v]:
if self.vid[u] > self.vid[v]:
u, v = v, u
v = self.parent[self.head[v]]
else:
if self.vid[u] > self.vid[v]:
u, v = v, u
return u
N = int(input())
g = Graph(N)
for i in range(N):
for c in map(int, input().split()[1:]):
g.add_edge(i, c, 1)
g.add_edge(c, i, 1)
hld = HeavyLightDecomposition(g)
Q = int(input())
for _ in range(Q):
u, v = map(int, input().split())
print(hld.lca(u, v)) |
s665391174 | p02373 | u408260374 | 1482328676 | Python | Python3 | py | Runtime Error | 980 | 95504 | 2045 | import sys
sys.setrecursionlimit(10**6)
class Edge:
def __init__(self, dst, weight):
self.dst, self.weight = dst, weight
def __lt__(self, e):
return self.weight > e.weight
class Graph:
def __init__(self, V):
self.V = V
self.E = [[] for _ in range(V)]
def add_edge(self, src, dst, weight):
self.E[src].append(Edge(dst, weight))
class HeavyLightDecomposition:
def __init__(self, g, root=0):
self.g = g
self.vid = [0] * g.V
self.head = [-1] * g.V
self.heavy = [-1] * g.V
self.parent = [-1] * g.V
self.dfs(root)
self.bfs(root)
def dfs(self, v, par=-1):
self.parent[v] = par
sub, max_sub = 1, 0
for e in self.g.E[v]:
child = e.dst
if child != par:
child_sub = self.dfs(child, v)
sub += child_sub
if child_sub > max_sub:
max_sub = child_sub
self.heavy[v] = child
return sub
def bfs(self, root=0):
from collections import deque
k, que = 0, deque([root])
while que:
r = v = que.popleft()
while v != -1:
self.vid[v], self.head[v] = k, r
for e in self.g.E[v]:
if e.dst != self.parent[v] and e.dst != self.heavy[v]:
que.append(e.dst)
k += 1
v = self.heavy[v]
def lca(self, u, v):
while self.head[u] != self.head[v]:
if self.vid[u] > self.vid[v]:
u, v = v, u
v = self.parent[self.head[v]]
else:
if self.vid[u] > self.vid[v]:
u, v = v, u
return u
N = int(input())
g = Graph(N)
for i in range(N):
for c in map(int, input().split()[1:]):
g.add_edge(i, c, 1)
g.add_edge(c, i, 1)
hld = HeavyLightDecomposition(g)
Q = int(input())
for _ in range(Q):
u, v = map(int, input().split())
print(hld.lca(u, v)) |
s810976017 | p02373 | u797673668 | 1488274450 | Python | Python3 | py | Runtime Error | 450 | 27696 | 1025 | from math import log2
def build():
dfs(tree, 0, -1, 0)
pk0 = parent[0]
for k in range(1, logn):
pk1 = parent[k]
for v in range(n):
pkv = pk0[v]
pk1[v] = -1 if pkv < 0 else pk0[pkv]
pk0 = pk1
def dfs(tree, v, p, d):
parent[0][v] = p
depth[v] = d
for child in tree[v]:
if child != p:
dfs(tree, child, v, d + 1)
def get(u, v):
du, dv = depth[u], depth[v]
if du > dv:
u, v = v, u
du, dv = dv, du
for k in range(logn):
if (dv - du) >> k & 1:
v = parent[k][v]
if u == v:
return u
for k in range(logn - 1, -1, -1):
pk = parent[k]
if pk[u] != pk[v]:
u, v = pk[u], pk[v]
return parent[0][u]
n = int(input())
tree = [set(map(int, input().split()[1:])) for _ in range(n)]
logn = int(log2(n)) + 1
parent = [[0] * n for _ in range(logn)]
depth = [0] * n
build()
q = int(input())
for _ in range(q):
print(get(*map(int, input().split()))) |
s841520214 | p02373 | u797673668 | 1488274533 | Python | Python3 | py | Runtime Error | 1340 | 96168 | 1068 | import sys
sys.setrecursionlimit(100000)
from math import log2
def build():
dfs(tree, 0, -1, 0)
pk0 = parent[0]
for k in range(1, logn):
pk1 = parent[k]
for v in range(n):
pkv = pk0[v]
pk1[v] = -1 if pkv < 0 else pk0[pkv]
pk0 = pk1
def dfs(tree, v, p, d):
parent[0][v] = p
depth[v] = d
for child in tree[v]:
if child != p:
dfs(tree, child, v, d + 1)
def get(u, v):
du, dv = depth[u], depth[v]
if du > dv:
u, v = v, u
du, dv = dv, du
for k in range(logn):
if (dv - du) >> k & 1:
v = parent[k][v]
if u == v:
return u
for k in range(logn - 1, -1, -1):
pk = parent[k]
if pk[u] != pk[v]:
u, v = pk[u], pk[v]
return parent[0][u]
n = int(input())
tree = [set(map(int, input().split()[1:])) for _ in range(n)]
logn = int(log2(n)) + 1
parent = [[0] * n for _ in range(logn)]
depth = [0] * n
build()
q = int(input())
for _ in range(q):
print(get(*map(int, input().split()))) |
s972907851 | p02373 | u260980560 | 1500114790 | Python | Python | py | Runtime Error | 20 | 6688 | 1079 | from collections import deque
n = input()
C = [None]*n
P = [None]*n
for i in xrange(n):
ipt = map(int, raw_input().split())
C[i] = ipt[1:]
for c in C[i]:
P[c] = i
LEV = (n+1).bit_length()
parent = [[None]*(LEV + 1) for i in xrange(n)]
for i in xrange(n):
parent[i][0] = P[i]
for k in xrange(1, LEV):
for i in xrange(n):
if parent[i][k] is None:
parent[i][k+1] = None
else:
parent[i][k+1] = parent[parent[i][k]][k]
depth = [None]*n
deq = deque()
deq.append(0)
depth[0] = 0
while deq:
v = deq.popleft()
for c in C[v]:
deq.append(c)
depth[c] = depth[v] + 1
q = input()
for t in xrange(q):
u, v = map(int, raw_input().split())
if not depth[u] < depth[v]:
u, v = v, u
for k in xrange(LEV+1):
if ((depth[v] - depth[u]) >> k) & 1:
v = parent[v][k]
if u == v:
print u
continue
for k in xrange(LEV, -1, -1):
if parent[u][k] != parent[v][k]:
u = parent[u][k]
v = parent[v][k]
print parent[u][0] |
s551298889 | p02373 | u798803522 | 1508767122 | Python | Python3 | py | Runtime Error | 70 | 8152 | 1225 | import math
from collections import defaultdict
def dfs(here, p, d, parent, depth, connect):
parent[0][here] = p
depth[here] = d
for next_v in connect[here]:
dfs(next_v, here, d + 1, parent, depth, connect)
def lca(v1, v2, parent, depth):
if depth[v2] > depth[v1]:
v1, v2 = v2, v1
for i in range(max_log):
if depth[v1] - depth[v2] >> i & 1:
v1 = parent[i][v1]
if v1 == v2:
return v2
for i in range(max_log - 1, -1, -1):
if parent[i][v1] != parent[i][v2]:
v1 = parent[i][v1]
v2 = parent[i][v2]
return parent[0][v2]
connect = defaultdict(list)
v_num = int(input())
root = 0
for i in range(v_num):
edge = [int(n) for n in input().split(" ")]
connect[i].extend(edge[1:])
depth = [-1 for n in range(v_num)]
max_log = int(math.log(v_num, 2))
parent = [[-1 for n in range(v_num)] for m in range(max_log)]
dfs(root, -1, 0, parent, depth, connect)
for i in range(max_log - 1):
for v in range(v_num):
parent[i + 1][v] = -1 if parent[i][v] < 0 else parent[i][parent[i][v]]
q_num = int(input())
for _ in range(q_num):
v1, v2 = (int(n) for n in input().split(" ") )
print(lca(v1, v2, parent, depth)) |
s807828051 | p02373 | u798803522 | 1508767226 | Python | Python3 | py | Runtime Error | 720 | 24764 | 1233 | import math
from collections import defaultdict
def dfs(here, p, d, parent, depth, connect):
parent[0][here] = p
depth[here] = d
for next_v in connect[here]:
dfs(next_v, here, d + 1, parent, depth, connect)
def lca(v1, v2, parent, depth):
if depth[v2] > depth[v1]:
v1, v2 = v2, v1
for i in range(max_log):
if depth[v1] - depth[v2] >> i & 1:
v1 = parent[i][v1]
if v1 == v2:
return v2
for i in range(max_log - 1, -1, -1):
if parent[i][v1] != parent[i][v2]:
v1 = parent[i][v1]
v2 = parent[i][v2]
return parent[0][v2]
connect = defaultdict(list)
v_num = int(input())
root = 0
for i in range(v_num):
edge = [int(n) for n in input().split(" ")]
connect[i].extend(edge[1:])
depth = [-1 for n in range(v_num)]
max_log = max(int(math.log(v_num, 2)), 1)
parent = [[-1 for n in range(v_num)] for m in range(max_log)]
dfs(root, -1, 0, parent, depth, connect)
for i in range(max_log - 1):
for v in range(v_num):
parent[i + 1][v] = -1 if parent[i][v] < 0 else parent[i][parent[i][v]]
q_num = int(input())
for _ in range(q_num):
v1, v2 = (int(n) for n in input().split(" ") )
print(lca(v1, v2, parent, depth)) |
s496228135 | p02374 | u847485844 | 1559098521 | Python | Python | py | Runtime Error | 0 | 0 | 3808 | N = 10 ** 5
prt = [0] * (N + 1)
left = [-1] + [0] * N
right = [-1] + [0] * N
sz = [0] + [1] * N
key = [0] * (N + 1)
val = [0] * (N + 1)
rev = [0] * (N + 1)
def update(i, l, r):
# assert 1 <= i <= N
sz[i] = 1 + sz[l] + sz[r]
val[i] = key[i] + val[l] + val[r]
def swap(i):
if i:
left[i], right[i] = right[i], left[i]
rev[i] ^= 1
def prop(i):
swap(left[i])
swap(right[i])
rev[i] = 0
return 1
def splay(i):
# assert 1 <= i <= N
x = prt[i]
rev[i] and prop(i)
li = left[i];
ri = right[i]
while x and not left[x] != i != right[x]:
y = prt[x]
if not y or left[y] != x != right[y]:
if rev[x] and prop(x):
li, ri = ri, li
swap(li);
swap(ri)
if left[x] == i:
left[x] = ri
prt[ri] = x
update(x, ri, right[x])
ri = x
else:
right[x] = li
prt[li] = x
update(x, left[x], li)
li = x
x = y
break
rev[y] and prop(y)
if rev[x] and prop(x):
li, ri = ri, li
swap(li);
swap(ri)
z = prt[y]
if left[y] == x:
if left[x] == i:
v = left[y] = right[x]
prt[v] = y
update(y, v, right[y])
left[x] = ri;
right[x] = y
prt[ri] = x
update(x, ri, y)
prt[y] = ri = x
else:
left[y] = ri
prt[ri] = y
update(y, ri, right[y])
right[x] = li
prt[li] = x
update(x, left[x], li)
li = x;
ri = y
else:
if right[x] == i:
v = right[y] = left[x]
prt[v] = y
update(y, left[y], v)
left[x] = y;
right[x] = li
prt[li] = x
update(x, y, li)
prt[y] = li = x
else:
right[y] = li
prt[li] = y
update(y, left[y], li)
left[x] = ri
prt[ri] = x
update(x, ri, right[x])
li = y;
ri = x
x = z
if left[z] == y:
left[z] = i
update(z, i, right[z])
elif right[z] == y:
right[z] = i
update(z, left[z], i)
else:
break
update(i, li, ri)
left[i] = li;
right[i] = ri
prt[li] = prt[ri] = i
prt[i] = x
rev[i] = prt[0] = 0
def expose(i):
p = 0
cur = i
while cur:
splay(cur)
right[cur] = p
update(cur, left[cur], p)
p = cur
cur = prt[cur]
splay(i)
return i
def cut(i):
expose(i)
p = left[i]
left[i] = prt[p] = 0
return p
def link(i, p):
expose(i)
expose(p)
prt[i] = p
right[p] = i
def evert(i):
expose(i)
swap(i)
rev[i] and prop(i)
def query(v):
r = expose(v + 1)
return val[r]
def query_add(v, w):
key[v + 1] += w
expose(v + 1)
readline = open(0).readline
writelines = open(1, 'w').writelines
N = int(readline())
for i in range(N):
k, *C = map(int, readline().split())
# for c in C:
# link(c+1, i+1)
if k:
expose(i + 1)
for c in C:
expose(c + 1)
prt[c + 1] = i + 1
right[i + 1] = C[0] + 1
Q = int(readline())
ans = []
for q in range(Q):
t, *args = map(int, readline().split())
if t:
ans.append("%d\n" % query(args[0]))
else:
query_add(*args)
writelines(ans)
|
s187726677 | p02374 | u210794057 | 1559302739 | Python | Python | py | Runtime Error | 0 | 0 | 1132 | import sys
sys.setrecursionlimit(int(1e6))
class BIT:
def __init__(self, n):
self.n = n
self.data = [0] * (n + 1)
def get_sum(self, i):
ret = 0
while i > 0:
ret += self.data[i]
i -= (i & -i)
return ret
def add(self, i, w):
if i == 0:
return
while i <= self.n:
self.data[i] += w
i += (i & -i)
def dfs(u, cnt):
cnt += 1
l[u] = cnt
for c in tree[u]:
cnt = dfs(c, cnt)
cnt += 1
r[u] = cnt
return cnt
n = int(input())
l, r = [0] * n, [0] * n
tree = [set(map(int, input().split()[1:])) for _ in range(n)]
bit = BIT(dfs(0, 1))
q = int(input())
for _ in range(q):
line = list(map(int, input().split()))
if line[0]:
print(bit.get_sum(r[line[1]] - 1))
else:
bit.add(l[line[1]], line[2])
bit.add(r[line[1]], -line[2])
|
s013981205 | p02374 | u210794057 | 1559302763 | Python | Python3 | py | Runtime Error | 0 | 0 | 1132 | import sys
sys.setrecursionlimit(int(1e6))
class BIT:
def __init__(self, n):
self.n = n
self.data = [0] * (n + 1)
def get_sum(self, i):
ret = 0
while i > 0:
ret += self.data[i]
i -= (i & -i)
return ret
def add(self, i, w):
if i == 0:
return
while i <= self.n:
self.data[i] += w
i += (i & -i)
def dfs(u, cnt):
cnt += 1
l[u] = cnt
for c in tree[u]:
cnt = dfs(c, cnt)
cnt += 1
r[u] = cnt
return cnt
n = int(input())
l, r = [0] * n, [0] * n
tree = [set(map(int, input().split()[1:])) for _ in range(n)]
bit = BIT(dfs(0, 1))
q = int(input())
for _ in range(q):
line = list(map(int, input().split()))
if line[0]:
print(bit.get_sum(r[line[1]] - 1))
else:
bit.add(l[line[1]], line[2])
bit.add(r[line[1]], -line[2])
|
s325049396 | p02374 | u210794057 | 1559302929 | Python | Python | py | Runtime Error | 0 | 0 | 765 | import sys
sys.setrecursionlimit(int(1e6))
class BIT:
def __init__(self, n):
self.n = n
self.data = [0] * (n + 1)
def get_sum(self, i):
ret = 0
while i > 0:
ret += self.data[i]
i -= (i & -i)
return ret
def add(self, i, w):
if i == 0:
return
while i <= self.n:
self.data[i] += w
i += (i & -i)
def dfs(u, cnt):
cnt += 1
l[u] = cnt
for c in tree[u]:
cnt = dfs(c, cnt)
cnt += 1
r[u] = cnt
return cnt
n = int(input())
l, r = [0] * n, [0] * n
tree = [set(map(int, input().split()[1:])) for _ in range(n)]
bit = BIT(dfs(0, 1))
q = int(input())
for _ in range(q):
line = list(map(int, input().split()))
if line[0]:
print(bit.get_sum(r[line[1]] - 1))
else:
bit.add(l[line[1]], line[2])
bit.add(r[line[1]], -line[2])
|
s859652526 | p02374 | u686180487 | 1559377937 | Python | Python3 | py | Runtime Error | 0 | 0 | 843 | # -*- coding: utf-8 -*-
N = int(input())
G = [None for i in range(N)]
for i in range(N):
temp = list(map(int, input().split()))
G[i] = temp[1:]
INF = 2**31 -1
temp = 1
while temp < N:
temp *= 2
lis = [INF for i in range(2*temp-1)]
def getSum(x):
x += temp-1
w_sum = lis[x]
while x > 0:
x = (x-1) // 2
w_sum += lis[x]
return w_sum
def add(a, b, x, k=0, l=0, r=temp):
if r <= a or b <= l:
return 0
if a <= l and r <= b:
lis[k] += x
return 0
add(a, b, k*2+1, l, (l+r)//2)
add(a, b, k*2+2, (l+r)//2, r)
arr = [[0,0] for i in range(200010)]
def dfs(k, a=0):
arr[0][k] = a
a += 1
for i in range(len(G[k])):
dfs(G[k][i])
arr[1][k] = a
dfs()
Q = int(intput())
for i in range(Q):
querry = list(map(int, input().split()))
if querry[0] == 0:
add()
else:
print(getSum()
|
s216836427 | p02374 | u686180487 | 1559378172 | Python | Python3 | py | Runtime Error | 0 | 0 | 900 | # -*- coding: utf-8 -*-
N = int(input())
G = [None for i in range(N)]
for i in range(N):
temp = list(map(int, input().split()))
G[i] = temp[1:]
INF = 2**31 -1
temp = 1
while temp < N:
temp *= 2
lis = [INF for i in range(2*temp-1)]
def getSum(x):
x += temp-1
w_sum = lis[x]
while x > 0:
x = (x-1) // 2
w_sum += lis[x]
return w_sum
def add(a, b, x, k=0, l=0, r=temp):
if r <= a or b <= l:
return 0
if a <= l and r <= b:
lis[k] += x
return 0
add(a, b, k*2+1, l, (l+r)//2)
add(a, b, k*2+2, (l+r)//2, r)
def dfs(k, a=0):
arr[0][k] = a
a += 1
for i in range(len(G[k])):
dfs(G[k][i])
arr[1][k] = a
arr = [[0,0] for i in range(200010)]
dfs()
Q = int(input())
for i in range(Q):
querry = list(map(int, input().split()))
if querry[0] == 0:
add(arr[0][querry[1]], arr[1][querry[1]],w)
else:
print(getSum(arr[0][querry[1]])
|
s254865021 | p02374 | u686180487 | 1559482826 | Python | Python3 | py | Runtime Error | 130 | 6344 | 1026 | # -*- coding: utf-8 -*-
class weightRtree:
def __init__(self, num):
self.num = num
self.weight = [0] * (num+1)
def add(self, v, w):
if v == 0:
return 0
while v <= self.num:
self.weight[v] += w
v += (-v) & v
def getSum(self, u):
temp = 0
while u > 0:
temp += self.weight[u]
u -= (-u) & u
return temp
N = int(input())
left = [0] * N
right = [0] * N
Tree = [set(map(int, input().split()[1:])) for i in range(N)]
def DFS(count, source):
count += 1
left[source] = count
for item in Tree[source]:
count = DFS(count, item)
count += 1
right[source] = count
return count
Object = weightRtree(DFS(1, 0))
Q = int(input())
for i in range(Q):
alist = list(map(int, input().split()))
if not alist[0]:
Object.add(left[alist[1]], alist[2])
Object.add(right[alist[1]], -alist[2])
else:
print(Object.getSum(right[alist[1]] - 1))
|
s682078303 | p02376 | u138546245 | 1535991164 | Python | Python3 | py | Runtime Error | 20 | 5716 | 2157 | from heapq import heappush, heappop
class Edge:
__slots__ = ('src', 'dest', 'capacity', 'flow')
def __init__(self, v, w, capacity):
self.src = v
self.dest = w
self.capacity = capacity
self.flow = 0
def other(self, v):
if v == self.src:
return self.dest
else:
return self.src
def residual_capacity(self, v):
if v == self.src:
return self.capacity - self.flow
else:
return self.flow
def add_flow(self, v, f):
if v == self.src:
self.flow += f
else:
self.flow -= f
class Network:
def __init__(self, v):
self.v = v
self._edges = [[] for _ in range(v)]
def add(self, edge):
self._edges[edge.src].append(edge)
self._edges[edge.dest].append(edge)
def adj(self, v):
return self._edges[v]
def max_flow(network, s, t):
def augment_path():
marked = [False] * network.v
edge_to = [None] * network.v
heap = [(-10**6, s, 0, None)]
while heap:
cap, v, n, e = heappop(heap)
edge_to[v] = e
if v == t:
return (-cap, edge_to)
if not marked[v]:
marked[v] = True
for ne in network.adj(v):
n += 1
w = ne.other(v)
c = ne.residual_capacity(v)
if not marked[w] and c > 0:
heappush(heap, (max(-c, cap), w, n, ne))
return (0, [])
while True:
cap, path = augment_path()
if cap == 0:
break
v = t
e = path[t]
while e is not None:
v = e.other(v)
e.add_flow(v, cap)
e = path[v]
return sum(e.flow for e in network.adj(s) if e.src == s)
def run():
v, e = [int(i) for i in input().split()]
s, t = 0, v-1
net = Network(v)
for _ in range(e):
v, w, c = [int(i) for i in input().split()]
net.add(Edge(v, w, c))
print(max_flow(net, s, t))
if __name__ == '__main__':
run()
|
s388674928 | p02376 | u419946054 | 1559523041 | Python | Python3 | py | Runtime Error | 0 | 0 | 2046 | V, E = map(int, input().split())
# -*- coding: utf-8 -*-
import collections
import queue
class Dinic():
def __init__(self, N):
self.N = N
self.edges = collections.defaultdict(list)
self.level = [0] * N
self.iter = [0] * N
def add(self, u, v, c, directed=True):
"""
0-indexedでなくてもよいことに注意
u = from, v = to, c = cap
directed = Trueなら、有向グラフである
"""
if directed:
self.edges[u].append([v, c, len(self.edges[v])])
self.edges[v].append([u, c, len(self.edges[u])-1])
else: # TODO
self.edges[u].append([v, c, len(self.edges[u])])
def bfs(self, s):
self.level = [-1] * self.N
self.level[s] = 0
que = queue.Queue()
que.put(s)
while not que.empty():
v = que.get(a)
for i in range(len(self.edges[v])):
e = self.edges[v][i]
if e[1] > 0 and self.level[e[0]] < 0:
self.level[e[0]] = self.level[v] + 1
que.put(e[0])
def dfs(self, v, t, f):
if v == t:
return f
for i in range(self.iter[v], len(self.edges[v])):
self.iter[v] = i
e = self.edges[v][i]
if e[1] > 0 and self.level[v] < self.level[e[0]]:
d = self.dfs(e[0], t, min(f, e[1]))
if d > 0:
e[1] -= d
self.edges[e[0]][e[2]][1] += d
return d
return 0
def maxFlow(self, s, t):
flow = 0
while True:
self.bfs(s)
if self.level[t] < 0:
return flow
self.iter = [0] * (self.N)
f = self.dfs(s, t, float('inf'))
while f > 0:
flow += f
f = self.dfs(s, t, float('inf'))
graph = Dinic(V)
for i in range(E):
u, v, c = map(int, input().split())
graph.add(u, v, c)
print(graph.maxFlow(0, V-1))
|
s029485610 | p02376 | u647766105 | 1430392043 | Python | Python | py | Runtime Error | 0 | 0 | 1690 | #test
def ford_fulkerson(graph, source, sink):
N = len(graph)
def dfs(cur_node, visited):
if cur_node == source:
flag = True
while flag:
flag = False
for next_node in xrange(N):
if graph[cur_node][next_node] <= 0:
continue
for r, v in dfs(next_node, visited):
flag = True
yield [cur_node]+r, v
elif cur_node == sink:
yield [[], float("inf")]
else:
for next_node in xrange(N):
if visited[next_node] or graph[cur_node][next_node] <= 0:
continue
visited[next_node] = True
for route, volume in dfs(next_node, visited):
v = graph[cur_node][next_node]
if v <= 0:
break
volume = min(v, volume)
yield [[cur_node]+route, min(v, volume)]
visited[next_node] = False
for route, v in dfs(source, [False]*N):
for s, t in zip(route, route[1:]):
graph[s][t] -= v
graph[t][s] += v
def main():
V, E = map(int, raw_input().split())
source, sink = V, V+1
graph = [[0] * (V+2) for _ in xrange(V+2)]
for _ in xrange(E):
u, v, c = map(int, raw_input().split())
graph[u][v] = c
graph[source][0] = sum(graph[0])
graph[V-1][sink] = sum(zip(*graph)[V-1])
ford_fulkerson(graph, source, sink)
print graph[0][source]
if __name__ == "__main__":
for _ in xrange(2):
main() |
s245353289 | p02376 | u766807750 | 1432297930 | Python | Python3 | py | Runtime Error | 0 | 0 | 1382 | def read_data():
nV, nE = map(int, input().split())
cf = [dict() for v in range(nV)]
for e in range(nE):
u, v, c = map(int, input().split())
if u == t or v == s:
continue
C[u][v] = c
C[v][u] = 0
return C, nV, 0, nV - 1
def dinic(cf, nV, s, t):
dist = get_distance(cf, s, t)
while dist[t] > 0:
df = dfs(dist, cf, s, t, float('inf'))
while df:
df = dfs(dist, cf, s, t, float('inf'))
dist = get_distance(cf, s, t)
return sum(cf[t].values())
def get_distance(cf, s, t):
dist = [-1] * len(cf)
dist[s] = 0
frontiers = [s]
while frontiers:
new_frontiers = []
for u in frontiers:
for v, capacity in cf[u].items():
if dist[v] == -1 and capacity > 0:
dist[v] = dist[u] + 1
new_frontiers.append(v)
frontiers = new_frontiers
return dist
def dfs(dist, cf, u, t, df):
if u == t:
return df
for v, capacity in cf[u].items():
if dist[v] > dist[u] and capacity > 0:
new_df = dfs(dist, cf, v, t, min(df, capacity))
if new_df > 0:
cf[u][v] -= new_df
cf[v][u] += new_df
return new_df
return 0
if __name__ == '__main__':
C, nV, s, t = read_data()
print(dinic(C, nV, s, t)) |
s413670266 | p02376 | u766807750 | 1432298046 | Python | Python3 | py | Runtime Error | 0 | 0 | 1381 | def read_data():
nV, nE = map(int, input().split())
C = [dict() for v in range(nV)]
for e in range(nE):
u, v, c = map(int, input().split())
if u == t or v == s:
continue
C[u][v] = c
C[v][u] = 0
return C, nV, 0, nV - 1
def dinic(cf, nV, s, t):
dist = get_distance(cf, s, t)
while dist[t] > 0:
df = dfs(dist, cf, s, t, float('inf'))
while df:
df = dfs(dist, cf, s, t, float('inf'))
dist = get_distance(cf, s, t)
return sum(cf[t].values())
def get_distance(cf, s, t):
dist = [-1] * len(cf)
dist[s] = 0
frontiers = [s]
while frontiers:
new_frontiers = []
for u in frontiers:
for v, capacity in cf[u].items():
if dist[v] == -1 and capacity > 0:
dist[v] = dist[u] + 1
new_frontiers.append(v)
frontiers = new_frontiers
return dist
def dfs(dist, cf, u, t, df):
if u == t:
return df
for v, capacity in cf[u].items():
if dist[v] > dist[u] and capacity > 0:
new_df = dfs(dist, cf, v, t, min(df, capacity))
if new_df > 0:
cf[u][v] -= new_df
cf[v][u] += new_df
return new_df
return 0
if __name__ == '__main__':
C, nV, s, t = read_data()
print(dinic(C, nV, s, t)) |
s306761428 | p02376 | u408260374 | 1433586979 | Python | Python3 | py | Runtime Error | 40 | 6772 | 1623 | class FordFulkerson:
"""Ford-Fulkerson Algorithm: find max-flow
complexity: O(FE) (F: max flow)
"""
def __init__(self, V, E, source, sink):
""" V: the number of vertexes
E: adjacency list
source: start point
sink: goal point
"""
self.V = V
self.E = [[] for _ in range(V)]
for fr in range(V):
for to, cap in E[fr]:
self.E[fr].append([to, cap, len(self.E[to])])
self.E[to].append([fr, 0, len(self.E[fr])-1])
self.maxflow = self.ford_fulkerson(source, sink)
def ford_fulkerson(self, source, sink, INF=10**9):
"""find max-flow"""
def dfs(vertex, sink, flow):
"""find augmenting path"""
if vertex == sink:
return flow
used[vertex] = True
for i, (to, cap, rev) in enumerate(self.E[vertex]):
if not used[to] and cap > 0:
d = dfs(to, sink, min(flow, cap))
if d > 0:
self.E[vertex][i][1] -= d
self.E[to][rev][1] += d
return d
return 0
maxflow = 0
while True:
used = [False] * self.V
flow = dfs(source, sink, INF)
if flow == 0:
return maxflow
else:
maxflow += flow
V, E = map(int, input().split())
edge = [[] for _ in range(E)]
for _ in range(E):
u, v, cap = map(int, input().split())
edge[u].append((v, cap))
print(FordFulkerson(V, edge, 0, V-1).maxflow) |
s951337363 | p02376 | u408260374 | 1433587196 | Python | Python3 | py | Runtime Error | 30 | 6784 | 1662 | import sys
sys.setrecursionlimit(3000)
class FordFulkerson:
"""Ford-Fulkerson Algorithm: find max-flow
complexity: O(FE) (F: max flow)
"""
def __init__(self, V, E, source, sink):
""" V: the number of vertexes
E: adjacency list
source: start point
sink: goal point
"""
self.V = V
self.E = [[] for _ in range(V)]
for fr in range(V):
for to, cap in E[fr]:
self.E[fr].append([to, cap, len(self.E[to])])
self.E[to].append([fr, 0, len(self.E[fr])-1])
self.maxflow = self.ford_fulkerson(source, sink)
def ford_fulkerson(self, source, sink, INF=10**9):
"""find max-flow"""
def dfs(vertex, sink, flow):
"""find augmenting path"""
if vertex == sink:
return flow
used[vertex] = True
for i, (to, cap, rev) in enumerate(self.E[vertex]):
if not used[to] and cap > 0:
d = dfs(to, sink, min(flow, cap))
if d > 0:
self.E[vertex][i][1] -= d
self.E[to][rev][1] += d
return d
return 0
maxflow = 0
while True:
used = [False] * self.V
flow = dfs(source, sink, INF)
if flow == 0:
return maxflow
else:
maxflow += flow
V, E = map(int, input().split())
edge = [[] for _ in range(E)]
for _ in range(E):
u, v, cap = map(int, input().split())
edge[u].append((v, cap))
print(FordFulkerson(V, edge, 0, V-1).maxflow) |
s023075135 | p02376 | u408260374 | 1433661442 | Python | Python3 | py | Runtime Error | 0 | 0 | 2352 | from collections import deque
class Dinic:
"""Dinic Algorithm: find max-flow
complexity: O(EV^2)
"""
class edge:
def __init__(self, to, cap, rev):
self.to, self.cap, self.rev = to, cap, rev
def __init__(self, V, E, source, sink):
""" V: the number of vertexes
E: adjacency list
source: start point
sink: goal point
"""
self.V = V
self.E = [[] for _ in range(V)]
for fr in range(V):
for to, cap in E[fr]:
self.E[fr].append(self.edge(to, cap, len(self.E[to])))
self.E[to].append(self.edge(fr, 0, len(self.E[fr])-1))
self.maxflow = self.dinic(source, sink)
def dinic(self, source, sink):
"""find max-flow"""
INF = float('inf')
maxflow = 0
while True:
self.bfs(source)
if self.level[sink] < 0:
return maxflow
self.itr = [0] * self.V
while True:
flow = self.dfs(source, sink, INF)
if flow > 0:
maxflow += flow
else:
break
def dfs(self, vertex, sink, flow):
"""find augmenting path"""
if vertex == sink:
return flow
for i in range(self.itr[v], len(self.E[vertex])):
self.itr[v] = i
e = self.E[vertex][i]
if e.cap > 0 and self.level[vertex] < self.level[e.to]:
d = self.dfs(e.to, sink, min(flow, e.cap))
if d > 0:
self.E[vertex][i] -= d
self.E[e.to][e.rev].cap += d
return d
return 0
def bfs(self, start):
"""find shortest path from start"""
que = deque()
self.level = [-1] * self.V
que.append(start)
self.level[start] = 0
while que:
fr = que.popleft()
for e in self.E[fr]:
if e.cap > 0 and self.level[e.to] < 0:
self.level[e.to] = self.level[fr] + 1
que.append(e.to)
V, E = map(int, input().split())
edge = [[] for _ in range(V)]
for _ in range(E):
u, v, cap = map(int, input().split())
edge[u].append((v, cap))
print(Dinic(V, edge, 0, V-1).maxflow) |
s022150152 | p02376 | u797673668 | 1461730468 | Python | Python3 | py | Runtime Error | 60 | 8776 | 1225 | from queue import deque
def hierarchize(source):
global edges, hierarchy
hierarchy = [-1] * n
queue = deque([(0, source)])
while queue:
h, v = queue.popleft()
if hierarchy[v] != -1:
continue
hierarchy[v] = h
if v == sink:
return True
queue.extend((h + 1, target)
for remain, target, _ in edges[v] if hierarchy[target] == -1 and remain)
return False
def augment(v, limit):
global sink, edges, hierarchy
if v == sink:
return limit
res = 0
for e in edges[v]:
remain, target, idx = e
if remain == 0 or hierarchy[v] >= hierarchy[target]:
continue
aug = augment(target, min(limit, remain))
e[0] -= aug
edges[target][idx][0] += aug
res += aug
limit -= aug
if not limit:
break
return res
n, m = map(int, input().split())
sink = n - 1
edges = [[] for _ in range(n)]
hierarchy = [-1] * n
for _ in range(m):
s, t, c = map(int, input().split())
edges[s].append([c, t, len(edges[t])])
edges[t].append([0, s, len(edges[s])])
res = 0
while hierarchize(0):
res += augment(0, 10000001)
print(res) |
s992039711 | p02376 | u797673668 | 1461730505 | Python | Python3 | py | Runtime Error | 40 | 8752 | 1267 | import sys
from queue import deque
sys.setrecursionlimit(200000)
def hierarchize(source):
global edges, hierarchy
hierarchy = [-1] * n
queue = deque([(0, source)])
while queue:
h, v = queue.popleft()
if hierarchy[v] != -1:
continue
hierarchy[v] = h
if v == sink:
return True
queue.extend((h + 1, target)
for remain, target, _ in edges[v] if hierarchy[target] == -1 and remain)
return False
def augment(v, limit):
global sink, edges, hierarchy
if v == sink:
return limit
res = 0
for e in edges[v]:
remain, target, idx = e
if remain == 0 or hierarchy[v] >= hierarchy[target]:
continue
aug = augment(target, min(limit, remain))
e[0] -= aug
edges[target][idx][0] += aug
res += aug
limit -= aug
if not limit:
break
return res
n, m = map(int, input().split())
sink = n - 1
edges = [[] for _ in range(n)]
hierarchy = [-1] * n
for _ in range(m):
s, t, c = map(int, input().split())
edges[s].append([c, t, len(edges[t])])
edges[t].append([0, s, len(edges[s])])
res = 0
while hierarchize(0):
res += augment(0, 10000001)
print(res) |
s169232643 | p02376 | u797673668 | 1461730565 | Python | Python3 | py | Runtime Error | 40 | 8824 | 1267 | import sys
from queue import deque
sys.setrecursionlimit(500000)
def hierarchize(source):
global edges, hierarchy
hierarchy = [-1] * n
queue = deque([(0, source)])
while queue:
h, v = queue.popleft()
if hierarchy[v] != -1:
continue
hierarchy[v] = h
if v == sink:
return True
queue.extend((h + 1, target)
for remain, target, _ in edges[v] if hierarchy[target] == -1 and remain)
return False
def augment(v, limit):
global sink, edges, hierarchy
if v == sink:
return limit
res = 0
for e in edges[v]:
remain, target, idx = e
if remain == 0 or hierarchy[v] >= hierarchy[target]:
continue
aug = augment(target, min(limit, remain))
e[0] -= aug
edges[target][idx][0] += aug
res += aug
limit -= aug
if not limit:
break
return res
n, m = map(int, input().split())
sink = n - 1
edges = [[] for _ in range(n)]
hierarchy = [-1] * n
for _ in range(m):
s, t, c = map(int, input().split())
edges[s].append([c, t, len(edges[t])])
edges[t].append([0, s, len(edges[s])])
res = 0
while hierarchize(0):
res += augment(0, 10000001)
print(res) |
s307968750 | p02376 | u797673668 | 1461731046 | Python | Python3 | py | Runtime Error | 20 | 7840 | 1266 | def hierarchize(source):
global edges, hierarchy
l, r = 0, 1
hierarchy = [-1] * n
hierarchy[source] = 0
queue[0] = source
while l != r:
v = queue[l]
l += 1
if v == sink:
break
for remain, target, idx in edges[v]:
if hierarchy[target] == -1 and remain != 0:
hierarchy[target] = hierarchy[v] + 1
queue[r] = target
r += 1
return hierarchy[sink] != -1
def augment(v, limit):
global sink, edges, hierarchy
if v == sink:
return limit
res = 0
for e in edges[v]:
remain, target, idx = e
if remain == 0 or hierarchy[v] >= hierarchy[target]:
continue
aug = augment(target, min(limit, remain))
e[0] -= aug
edges[target][idx][0] += aug
res += aug
limit -= aug
if not limit:
break
return res
n, m = map(int, input().split())
sink = n - 1
edges = [[] for _ in range(n)]
queue = [-1] * n
hierarchy = [-1] * n
for _ in range(m):
s, t, c = map(int, input().split())
edges[s].append([c, t, len(edges[t])])
edges[t].append([0, s, len(edges[s])])
res = 0
while hierarchize(0):
res += augment(0, 10000001)
print(res) |
s412754155 | p02376 | u766163292 | 1468497395 | Python | Python3 | py | Runtime Error | 2230 | 17292 | 2416 | #!/usr/bin/env python3
# Based on https://en.wikipedia.org/wiki/Ford???Fulkerson_algorithm
import collections
import sys
import uuid
REC_LIMIT = 10000
class Edge(object):
def __init__(self, source, sink, capacity):
self.source = source
self.sink = sink
self.capacity = capacity
self.rev_edge = None
self.edge_id = uuid.uuid4()
def __str__(self):
return "Edge {} -> {} : {}".format(self.source,
self.sink, self.capacity)
class Network(object):
def __init__(self):
self.adj_edges = collections.defaultdict(list)
self.flow = dict()
self.used_edge = None
def get_edges_from(self, vertex):
return self.adj_edges[vertex]
def add_edge(self, source, sink, capacity):
assert source != sink
f_edge = Edge(source, sink, capacity)
b_edge = Edge(sink, source, 0)
f_edge.rev_edge = b_edge
b_edge.rev_edge = f_edge
self.adj_edges[source].append(f_edge)
self.adj_edges[sink].append(b_edge)
self.flow[f_edge] = 0
self.flow[b_edge] = 0
def find_path_rec(self, source, sink, path):
if source == sink:
return path
for edge in self.get_edges_from(source):
residual = edge.capacity - self.flow[edge]
if residual > 0 and not self.used_edge[edge.edge_id]:
self.used_edge[edge.edge_id] = True
result = self.find_path_rec(edge.sink, sink, path + [edge])
if result is not None:
return result
def find_path(self, *args):
self.used_edge = collections.defaultdict(bool)
return self.find_path_rec(*args)
def max_flow(self, source, sink):
while True:
path = self.find_path(source, sink, [])
if path is None:
break
flow = min(edge.capacity - self.flow[edge] for edge in path)
for edge in path:
self.flow[edge] += flow
self.flow[edge.rev_edge] -= flow
return sum(self.flow[edge] for edge in self.get_edges_from(source))
def main():
v, e = map(int, input().split())
network = Network()
for _ in range(e):
network.add_edge(*map(int, input().split()))
mf = network.max_flow(0, v - 1)
print(mf)
if __name__ == '__main__':
main() |
s182046559 | p02376 | u022407960 | 1481010021 | Python | Python3 | py | Runtime Error | 0 | 0 | 1933 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
input:
4 5
0 1 2
0 2 1
1 2 1
1 3 1
2 3 2
output:
3
"""
import sys
from collections import deque
def graph_bfs(source, target, parent):
visited = [False] * v_num
queue = deque()
queue.appendleft(source)
visited[source] = True
while queue:
current = queue.popleft()
for adj, cp in adj_table[current].items():
if cp and not visited[adj]:
queue.append(adj)
visited[adj] = True
parent[adj] = current
return True if visited[target] else False
def graphFordFulkerson(source, sink):
parent = [-1] * v_num
max_flow = 0
while graph_bfs(source, sink, parent):
path_flow = float('inf')
bk_1 = sink
while bk_1 is not source:
path_flow = min(path_flow, adj_table[parent[bk_1]][bk_1])
bk_1 = parent[bk_1]
max_flow += path_flow
bk_2 = sink
while bk_2 is not source:
parent_bk_2 = parent[bk_2]
assert parent_bk_2 != -1
adj_table[parent_bk_2].setdefault(bk_2, 0)
# adj_table[bk_2].setdefault(parent_bk_2, 0)
# print(bk_2, parent_bk_2, path_flow, bk_1, parent[bk_1], parent, adj_table)
adj_table[parent_bk_2][bk_2] -= path_flow
adj_table[bk_2][parent_bk_2] += path_flow
bk_2 = parent[bk_2]
return max_flow
def generate_adj_table(_edges):
for edge in _edges:
source, target, cp = map(int, edge)
init_adj_table[source][target] = cp
return init_adj_table
if __name__ == '__main__':
_input = sys.stdin.readlines()
v_num, e_num = map(int, _input[0].split())
edges = map(lambda x: x.split(), _input[1:])
init_adj_table = [dict() for _ in range(v_num)]
adj_table = generate_adj_table(edges)
ans = graphFordFulkerson(source=0, sink=v_num - 1)
print(ans) |
s389260098 | p02376 | u072053884 | 1486747675 | Python | Python3 | py | Runtime Error | 30 | 7916 | 1643 | # Acceptance of input
import sys
file_input = sys.stdin
V, E = map(int, file_input.readline().split())
adj_mat = [[0] * V for i in range(V)]
for line in file_input:
u, v, c = map(int, line.split())
adj_mat[u][v] = c
# Dinic's algorithm
import collections
# BFS for residual capacity network to construct level graph
def bfs(start, goal, parent):
level = [V] * V
queue = collections.deque()
queue.append(start)
level[start] = 0
while queue:
u = queue.popleft()
next_level = level[u] + 1
for v, flow in enumerate(adj_mat[u]):
if (level[v] >= next_level) and (flow > 0):
queue.append(v)
level[v] = next_level
parent[v].append(u)
return level[goal]
# DFS for level graph to construct blocking flow
# search in reverse direction from sink
def dfs(goal, path, parent, aug_path_flow, blocking_flow):
v = path[-1]
if v == goal:
blocking_flow[0] += aug_path_flow
for x, y in zip(path[1:], path[:-1]):
adj_mat[x][y] -= aug_path_flow
adj_mat[y][x] += aug_path_flow
else:
for u in parent[v]:
path.append(u)
dfs(goal, path, parent, min(aug_path_flow, adj_mat[u][v]), blocking_flow)
path.pop()
def dinic(source, sink):
parent = [[] for i in range(V)]
max_flow = 0
while bfs(source, sink, parent) != V:
aug_path_flow = 10000
blocking_flow = [0]
path = [sink]
dfs(source, path, parent, 5, blocking_flow)
max_flow += blocking_flow[0]
return max_flow
# output
print(dinic(0, V - 1)) |
s462366180 | p02376 | u072053884 | 1486780992 | Python | Python3 | py | Runtime Error | 30 | 7952 | 1707 | # Acceptance of input
import sys
file_input = sys.stdin
V, E = map(int, file_input.readline().split())
adj_mat = [[0] * V for i in range(V)]
for line in file_input:
u, v, c = map(int, line.split())
adj_mat[u][v] = c
# Dinic's algorithm
import collections
# BFS for residual capacity network to construct level graph
def bfs(start, goal, parent):
level = [V] * V
queue = collections.deque()
queue.append(start)
level[start] = 0
while queue:
u = queue.popleft()
next_level = level[u] + 1
for v, flow in enumerate(adj_mat[u]):
if (level[v] >= next_level) and (flow > 0):
queue.append(v)
level[v] = next_level
parent[v].append(u)
return level[goal]
# DFS for level graph and construct blocking flow
def dfs(goal, path, parent, blocking_flow):
v = path[-1]
if v == goal:
aug_path_flow = 10000
for x, y in zip(path[1:], path[:-1]):
aug_path_flow = min(aug_path_flow, adj_mat[x][y])
for x, y in zip(path[1:], path[:-1]):
adj_mat[x][y] -= aug_path_flow
adj_mat[y][x] += aug_path_flow
blocking_flow[0] += aug_path_flow
else:
for u in parent[v]:
path.append(u)
dfs(goal, path, parent, blocking_flow)
path.pop()
def dinic(source, sink):
parent = [[] for i in range(V)]
max_flow = 0
while bfs(source, sink, parent) != V:
blocking_flow = [0]
path = [sink]
# search in reverse direction from sink
dfs(source, path, parent, blocking_flow)
max_flow += blocking_flow[0]
return max_flow
# output
print(dinic(0, V - 1)) |
s000637086 | p02376 | u352394527 | 1528856584 | Python | Python3 | py | Runtime Error | 30 | 6008 | 805 | from collections import deque
INF = 10 ** 20
V, E = map(int, input().split())
net = [[0] * V for _ in range(V)]
for _ in range(E):
u, v, c = map(int, input().split())
net[u][v] = c
start = 0
goal = V - 1
def check_net(node, path, capacity):
for i in range(V):
cap = net[node][i]
if cap != 0:
if i == goal:
return (path + [i], min(cap, capacity))
else:
return check_net(i, path + [i], min(cap, capacity))
else:
return ([], 0)
def update_net(path, capacity):
for fromi, toi in zip(range(len(path) - 1), range(1, len(path))):
fr, to = path[fromi], path[toi]
net[fr][to] -= capacity
net[to][fr] += capacity
i = 0
while True:
path, cap = check_net(start, [], INF)
if path == []:
break
update_net(path, cap)
print(sum(net[start]))
|
s728249748 | p02377 | u797673668 | 1461749600 | Python | Python3 | py | Runtime Error | 40 | 7900 | 1396 | from heapq import heappop, heappush
def trace(source, edge_trace):
v = source
for i in edge_trace:
e = edges[v][i]
yield e
v = e[1]
def min_cost_flow(source, sink, required_flow):
res = 0
while required_flow:
visited = set()
queue = [(0, source, tuple())]
while queue:
total_cost, v, edge_memo = heappop(queue)
if v in visited:
continue
elif v == sink:
dist = total_cost
edge_trace = edge_memo
break
for i, (remain, target, cost, _) in enumerate(edges[v]):
if remain and target not in visited:
heappush(queue, (total_cost + cost, target, edge_memo + (i,)))
else:
return -1
aug = min(required_flow, min(e[0] for e in trace(source, edge_trace)))
required_flow -= aug
res += aug * dist
for e in trace(source, edge_trace):
remain, target, cost, idx = e
e[0] -= aug
edges[target][idx][0] += aug
return res
n, m, f = map(int, input().split())
edges = [[] for _ in range(n)]
for _ in range(m):
s, t, c, d = map(int, input().split())
es, et = edges[s], edges[t]
ls, lt = len(es), len(et)
es.append([c, t, d, lt])
et.append([0, s, d, ls])
print(min_cost_flow(0, n - 1, f)) |
s152935436 | p02377 | u798803522 | 1508603195 | Python | Python3 | py | Runtime Error | 0 | 0 | 1601 | v_num, e_num, flow = (int(n) for n in input().split(" "))
edges = defaultdict(list)
for _ in range(e_num):
s1, t1, cap, cost = (int(n) for n in input().split(" "))
edges[s1].append([t1, cap, cost, len(edges[t1])])
edges[t1].append([s1, cap, cost, len(edges[s1])])
answer = 0
before_vertice = [float("inf") for n in range(v_num)]
before_edge = [float("inf") for n in range(v_num)]
sink = v_num - 1
while True:
distance = [float("inf") for n in range(v_num)]
distance[0] = 0
updated = 1
while updated:
updated = 0
for v in range(v_num):
if distance[v] == float("inf"):
continue
for i, (target, cap, cost, trace_i) in enumerate(edges[v]):
if cap > 0 and distance[target] > distance[v] + cost:
distance[target] = distance[v] + cost
before_vertice[target] = v
before_edge[target] = i
updated = 1
if distance[sink] == float("inf"):
print(-1)
break
decreased = flow
trace_i = sink
while trace_i != 0:
decreased = min(decreased, edges[before_vertice[trace_i]][before_edge[trace_i]][1])
trace_i = before_vertice[trace_i]
flow -= decreased
answer += decreased * distance[sink]
trace_i = sink
while trace_i != 0:
this_edge = edges[before_vertice[trace_i]][before_edge[trace_i]]
this_edge[1] -= decreased
trace_i = before_vertice[trace_i]
edges[trace_i][this_edge[3]][1] += decreased
if flow <= 0:
print(answer)
break |
s891004489 | p02377 | u798803522 | 1508662467 | Python | Python3 | py | Runtime Error | 0 | 0 | 909 | from collections import defaultdict
import sys
sys.setrecursionlimit(200000)
def dfs(source, used, all_weight, connect):
max_weight = all_weight
max_source = source
used[source] = 1
for target, weight in connect[source]:
if not used[target]:
now_weight = all_weight + weight
this_source, this_weight = dfs(target, used, now_weight, connect)
if max_weight < this_weight:
max_weight = this_weight
max_source = this_source
return [max_source, max_weight]
vertice = int(input())
connect = defaultdict(list)
for _ in range(vertice - 1):
v1, v2, weight = (int(n) for n in input().split(" "))
connect[v1].append([v2, weight])
connect[v2].append([v1, weight])
answer = 0
start_v = 0
for i in range(2):
used = [0 for n in range(vertice)]
start_v, answer = dfs(start_v, used, 0, connect)
print(answer) |
s072263069 | p02377 | u176732165 | 1523420075 | Python | Python | py | Runtime Error | 0 | 0 | 2851 | # -*- coding: utf-8 -*-
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
import sys
import csv
import argparse
import time
import heapq
INF = sys.maxint/3
class Edge:
def __init__(self, to, cap, cost, rev):
self.to = to
self.cap = cap
self.cost = cost
self.rev = rev
def print_attributes(self):
print "to: {0}, cap: {1}, cost: {2}, rev: {3}".format(self.to, self.cap, self.cost, self.rev)
class MinimumCostFlow:
def __init__(self, V, E):
self.V = V
self.E = E
self.G = [[] for i in range(V)]
def add_edge(self, s, t, cap, cost):
forward_edge = Edge(t, cap, cost, len(self.G[t]))
self.G[s].append(forward_edge)
backward_edge = Edge(s, 0, -cost, len(self.G[s])-1)
self.G[t].append(backward_edge)
def print_edges(self):
print "==== print edges ===="
for i in range(self.V):
print "\nedges from {}".format(i)
for e in self.G[i]:
e.print_attributes()
def minimum_cost_flow(self, s, t, f):
res = 0
h = [0] * self.V
while f>0:
pque = []
dist = [INF for i in range(self.V)]
prev_v = [0 for i in range(self.V)]
prev_e = [0 for i in range(self.V)]
dist[s] = 0
heapq.heappush(pque, (0, s))
while(len(pque)!=0):
p = heapq.heappop(pque)
v = p[1]
if (dist[v] < p[0]):
continue
for i in range(len(self.G[v])):
e = self.G[v][i]
if (e.cap>0 and dist[e.to] > dist[v] + e.cost + h[v] - h[e.to]):
dist[e.to] = dist[v] + e.cost + h[v] - h[e.to]
prev_v[e.to] = v
prev_e[e.to] = i
heapq.heappush(pque, (dist[e.to], e.to))
if dist[t] == INF:
return -1
for v in range(self.V):
h[v] += dist[v]
d = f
v = t
while v!=s:
d = min(d, self.G[prev_v[v]][prev_e[v]].cap)
v = prev_v[v]
f -= d
res += d * h[t]
v = t
while v!=s:
e = self.G[prev_v[v]][prev_e[v]]
e.cap -= d
self.G[v][e.rev].cap += d
v = prev_v[v]
return res
def main():
V, E, F = map(int, raw_input().split())
mcf = MinimumCostFlow(V, E)
for i in range(E):
u, v, c, d = map(int, raw_input().split())
mcf.add_edge(u, v, c, d)
#print "minimum cost flow: {}".format(mcf.minimum_cost_flow(0, V-1, F))
print mcf.minimum_cost_flow(0, V-1, F)
if __name__ == '__main__':
main()
|
s507700073 | p02377 | u176732165 | 1523420102 | Python | Python | py | Runtime Error | 0 | 0 | 2827 | import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
import sys
import csv
import argparse
import time
import heapq
INF = sys.maxint/3
class Edge:
def __init__(self, to, cap, cost, rev):
self.to = to
self.cap = cap
self.cost = cost
self.rev = rev
def print_attributes(self):
print "to: {0}, cap: {1}, cost: {2}, rev: {3}".format(self.to, self.cap, self.cost, self.rev)
class MinimumCostFlow:
def __init__(self, V, E):
self.V = V
self.E = E
self.G = [[] for i in range(V)]
def add_edge(self, s, t, cap, cost):
forward_edge = Edge(t, cap, cost, len(self.G[t]))
self.G[s].append(forward_edge)
backward_edge = Edge(s, 0, -cost, len(self.G[s])-1)
self.G[t].append(backward_edge)
def print_edges(self):
print "==== print edges ===="
for i in range(self.V):
print "\nedges from {}".format(i)
for e in self.G[i]:
e.print_attributes()
def minimum_cost_flow(self, s, t, f):
res = 0
h = [0] * self.V
while f>0:
pque = []
dist = [INF for i in range(self.V)]
prev_v = [0 for i in range(self.V)]
prev_e = [0 for i in range(self.V)]
dist[s] = 0
heapq.heappush(pque, (0, s))
while(len(pque)!=0):
p = heapq.heappop(pque)
v = p[1]
if (dist[v] < p[0]):
continue
for i in range(len(self.G[v])):
e = self.G[v][i]
if (e.cap>0 and dist[e.to] > dist[v] + e.cost + h[v] - h[e.to]):
dist[e.to] = dist[v] + e.cost + h[v] - h[e.to]
prev_v[e.to] = v
prev_e[e.to] = i
heapq.heappush(pque, (dist[e.to], e.to))
if dist[t] == INF:
return -1
for v in range(self.V):
h[v] += dist[v]
d = f
v = t
while v!=s:
d = min(d, self.G[prev_v[v]][prev_e[v]].cap)
v = prev_v[v]
f -= d
res += d * h[t]
v = t
while v!=s:
e = self.G[prev_v[v]][prev_e[v]]
e.cap -= d
self.G[v][e.rev].cap += d
v = prev_v[v]
return res
def main():
V, E, F = map(int, raw_input().split())
mcf = MinimumCostFlow(V, E)
for i in range(E):
u, v, c, d = map(int, raw_input().split())
mcf.add_edge(u, v, c, d)
#print "minimum cost flow: {}".format(mcf.minimum_cost_flow(0, V-1, F))
print mcf.minimum_cost_flow(0, V-1, F)
if __name__ == '__main__':
main()
|
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