結果

問題 No.1301 Strange Graph Shortest Path
ユーザー wolgnikwolgnik
提出日時 2020-11-27 22:41:19
言語 PyPy3
(7.3.15)
結果
WA  
実行時間 -
コード長 3,155 bytes
コンパイル時間 444 ms
コンパイル使用メモリ 86,692 KB
実行使用メモリ 215,360 KB
最終ジャッジ日時 2023-10-09 21:39:02
合計ジャッジ時間 23,081 ms
ジャッジサーバーID
（参考情報） 		judge15 / judge12
このコードへのチャレンジ
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テストケース

テストケース表示
入力 結果 実行時間
実行使用メモリ
testcase_00 AC 78 ms
71,224 KB
testcase_01 AC 78 ms
71,000 KB
testcase_02 WA -
testcase_03 WA -
testcase_04 WA -
testcase_05 WA -
testcase_06 WA -
testcase_07 WA -
testcase_08 WA -
testcase_09 WA -
testcase_10 WA -
testcase_11 WA -
testcase_12 WA -
testcase_13 WA -
testcase_14 WA -
testcase_15 WA -
testcase_16 WA -
testcase_17 WA -
testcase_18 WA -
testcase_19 WA -
testcase_20 WA -
testcase_21 WA -
testcase_22 WA -
testcase_23 WA -
testcase_24 WA -
testcase_25 WA -
testcase_26 WA -
testcase_27 WA -
testcase_28 WA -
testcase_29 WA -
testcase_30 WA -
testcase_31 WA -
testcase_32 AC 80 ms
71,056 KB
testcase_33 AC 324 ms
125,008 KB
testcase_34 WA -
権限があれば一括ダウンロードができます

ソースコード

diff # 

import sys
input = sys.stdin.readline
N, M = map(int, input().split())

from heapq import heappop, heappush, heapify
class MinCostFlow():
  def __init__(self, n):
    self.n = n
    self.graph = [[] for _ in range(n)]
    self.pos = []
  def add_edge(self, fr, to, cap, cost):
    m = len(self.pos)
    self.pos.append((fr, len(self.graph[fr])))
    self.graph[fr].append([to, len(self.graph[to]), cap, cost])
    self.graph[to].append([fr, len(self.graph[fr]) - 1, 0, -cost])
    return m
  def get_edge(self, idx):
    to, rev, cap, cost = self.graph[self.pos[idx][0]][self.pos[idx][1]]
    rev_to, rev_rev, rev_cap, rev_cost = self.graph[to][rev]
    return self.pos[idx][0], to, cap + rev_cap, rev_cap, cost
  def edges(self):
    for i in range(len(self.pos)):
      yield self.get_edge(i)
  def dual_ref(self, s, t):
    dist = [2**63 - 1] * self.n
    dist[s] = 0
    vis = [0] * self.n
    self.pv = [-1] * self.n
    self.pe = [-1] * self.n
    queue = []
    heappush(queue, (0, s))
    while queue:
      k, v = heappop(queue)
      if vis[v]: continue
      vis[v] = True
      if v == t: break
      for i in range(len(self.graph[v])):
        to, rev, cap, cost = self.graph[v][i]
        if vis[to] or cap == 0: continue
        cost += self.dual[v] - self.dual[to]
        if dist[to] - dist[v] > cost:
          dist[to] = dist[v] + cost
          self.pv[to] = v
          self.pe[to] = i
          heappush(queue, (dist[to], to))
    if not vis[t]: return False
    for v in range(self.n):
      if not vis[v]: continue
      self.dual[v] -= dist[t] - dist[v]
    return True
  def flow(self, s, t): return self.flow_with_limit(s, t, 2**63 - 1)
  def flow_with_limit(self, s, t, limit): return self.slope_with_limit(s, t, limit)[-1]
  def slope(self, s, t): return self.slope_with_limit(s, t, 2**63 - 1)
  def slope_with_limit(self, s, t, limit):
    flow = 0
    cost = 0
    prev_cost = -1
    res = [(flow, cost)]
    self.dual = [0] * self.n
    while flow < limit:
      if not self.dual_ref(s, t): break
      c = limit - flow
      v = t
      while v != s:
        c = min(c, self.graph[self.pv[v]][self.pe[v]][2])
        v = self.pv[v]
      v = t
      while v != s:
        to, rev, cap, _ = self.graph[self.pv[v]][self.pe[v]]
        self.graph[self.pv[v]][self.pe[v]][2] -= c
        self.graph[v][rev][2] += c
        v = self.pv[v]
      d = -self.dual[s]
      flow += c
      cost += c * d
      if prev_cost == d: res.pop()
      res.append((flow, cost))
      prev_cost = cost
    return res

mcf = MinCostFlow(N)
edges = []
for _ in range(M):
  u, v, c, d = map(int, input().split())
  edges.append((u, v, c, d))
  mcf.add_edge(u - 1, v - 1, 1, c)
mcf2 = mcf.flow_with_limit(0, N - 1, 2)
if mcf2[0] == 2:
  print(mcf2[1])
  exit(0)
mcf = MinCostFlow(N)
for u, v, c, d in edges:
  mcf.add_edge(u - 1, v - 1, 1, c)
mcf1 = mcf.flow_with_limit(0, N - 1, 1)
mcfedges = list(mcf.edges())
mcf = MinCostFlow(N)
for i in range(M):
  fr, to, cap, flow, cost = mcfedges[i]
  if mcfedges[i][3]: mcf.add_edge(fr, to, cap, edges[i][-1])
  else: mcf.add_edge(fr, to, cap, cost)
print(mcf1[1] + mcf.flow_with_limit(0, N - 1, 1)[1])
0