結果
| 問題 |
No.1301 Strange Graph Shortest Path
|
| コンテスト | |
| ユーザー |
Kite_kuma
|
| 提出日時 | 2020-10-30 23:04:27 |
| 言語 | PyPy3 (7.3.15) |
| 結果 |
AC
|
| 実行時間 | 1,924 ms / 3,000 ms |
| コード長 | 4,241 bytes |
| コンパイル時間 | 409 ms |
| コンパイル使用メモリ | 82,292 KB |
| 実行使用メモリ | 300,372 KB |
| 最終ジャッジ日時 | 2024-09-13 00:33:21 |
| 合計ジャッジ時間 | 52,369 ms |
|
ジャッジサーバーID (参考情報) |
judge4 / judge5 |
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| ファイルパターン | 結果 |
|---|---|
| sample | AC * 2 |
| other | AC * 33 |
ソースコード
import sys
import heapq
import heapq
class mcf_graph:
def __init__(self, n):
self.n = n
self.pos = []
self.g = [[] for _ in range(n)]
def add_edge(self, from_, to, cap, cost):
assert 0 <= from_ < self.n
assert 0 <= to < self.n
m = len(self.pos)
self.pos.append((from_, len(self.g[from_])))
self.g[from_].append(self.__class__._edge(
to, len(self.g[to]), cap, cost))
self.g[to].append(self.__class__._edge(
from_, len(self.g[from_]) - 1, 0, -cost))
return m
class edge:
def __init__(self, from_, to, cap, flow, cost):
self.from_ = from_
self.to = to
self.cap = cap
self.flow = flow
self.cost = cost
def get_edge(self, i):
_e = self.g[self.pos[i][0]][self.pos[i][1]]
_re = self.g[_e.to][_e.rev]
return self.__class__.edge(self.pos[i][0], _e.to, _e.cap + _re.cap, _re.cap, _e.cost)
def edges(self):
ret = []
for i in range(len(self.pos)):
_e = self.g[self.pos[i][0]][self.pos[i][1]]
_re = self.g[_e.to][_e.rev]
ret.append(self.__class__.edge(
self.pos[i][0], _e.to, _e.cap + _re.cap, _re.cap, _e.cost))
return ret
def slope(self, s, t, flow_limit=float('inf')):
# assert 0 <= s < self.n
# assert 0 <= t < self.n
# assert s != t
dual = [0] * self.n
dist = [float('inf')] * self.n
pv = [-1] * self.n
pe = [-1] * self.n
def _dual_ref():
nonlocal dual, dist, pv, pe
dist = [float('inf')] * self.n
pv = [-1] * self.n
pe = [-1] * self.n
que = [(0, s)]
dist[s] = 0
while que:
dist_v, v = heapq.heappop(que)
if dist[v] < dist_v:
continue
if v == t:
break
for i in range(len(self.g[v])):
e = self.g[v][i]
if e.cap == 0:
continue
cost = e.cost - dual[e.to] + dual[v]
if dist[e.to] > dist[v] + cost:
dist[e.to] = dist[v] + cost
pv[e.to] = v
pe[e.to] = i
heapq.heappush(que, (dist[e.to], e.to))
if dist[t] == float('inf'):
return False
for v in range(self.n):
if dist[v] == float('inf'):
continue
dual[v] -= dist[t] - dist[v]
return True
flow = 0
cost = 0
prev_cost = -1
result = [(flow, cost)]
while flow < flow_limit:
if not _dual_ref():
break
c = flow_limit - flow
v = t
while v != s:
c = min(c, self.g[pv[v]][pe[v]].cap)
v = pv[v]
v = t
while v != s:
e = self.g[pv[v]][pe[v]]
e.cap -= c
self.g[v][e.rev].cap += c
v = pv[v]
d = -dual[s]
flow += c
cost += c * d
if prev_cost == d:
result.pop()
result.append((flow, cost))
prev_cost = cost
return result
def flow(self, s, t, flow_limit=float('inf')):
return self.slope(s, t, flow_limit)[-1]
class _edge:
def __init__(self, to, rev, cap, cost):
self.to = to
self.rev = rev
self.cap = cap
self.cost = cost
BIG = 10 ** 9
input = sys.stdin.readline
n, m = map(int, input().split())
s, t = 0, n - 1
graph = mcf_graph(n + m)
for i in range(m):
u, v, c, d = map(int, input().split())
assert 1 <= u <= n and 1 <= v <= n and c <= d
u -= 1
v -= 1
mid = n + i
graph.add_edge(u, mid, 2, c)
graph.add_edge(mid, v, 1, 0)
graph.add_edge(mid, v, 1, d - c)
graph.add_edge(v, mid, 2, c)
graph.add_edge(mid, u, 1, 0)
graph.add_edge(mid, u, 1, d - c)
flow, cost = graph.flow(s, t, 2)
assert flow == 2
print(cost)
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