結果

問題 No.2573 moving up
ユーザー AngrySadEightAngrySadEight
提出日時 2023-12-01 08:51:12
言語 PyPy3
(7.3.15)
結果
TLE  
実行時間 -
コード長 2,888 bytes
コンパイル時間 245 ms
コンパイル使用メモリ 81,700 KB
実行使用メモリ 197,776 KB
最終ジャッジ日時 2023-12-01 08:51:48
合計ジャッジ時間 7,074 ms
ジャッジサーバーID
（参考情報） 		judge12 / judge13
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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 TLE -
testcase_01 TLE -
testcase_02 TLE -
testcase_03 TLE -
testcase_04 TLE -
testcase_05 TLE -
testcase_06 TLE -
testcase_07 AC 429 ms
93,648 KB
testcase_08 AC 854 ms
87,724 KB
testcase_09 AC 1,841 ms
167,404 KB
testcase_10 AC 516 ms
99,092 KB
testcase_11 AC 1,110 ms
127,900 KB
testcase_12 AC 1,980 ms
173,288 KB
testcase_13 AC 251 ms
82,320 KB
testcase_14 AC 217 ms
81,300 KB
testcase_15 AC 212 ms
79,420 KB
testcase_16 AC 551 ms
88,432 KB
testcase_17 AC 1,028 ms
130,576 KB
testcase_18 AC 1,644 ms
156,544 KB
testcase_19 AC 297 ms
84,464 KB
testcase_20 AC 316 ms
86,876 KB
testcase_21 AC 462 ms
87,884 KB
testcase_22 AC 382 ms
91,240 KB
testcase_23 AC 731 ms
112,656 KB
testcase_24 AC 1,265 ms
135,916 KB
testcase_25 AC 343 ms
87,252 KB
testcase_26 AC 124 ms
77,608 KB
testcase_27 AC 123 ms
77,584 KB
testcase_28 AC 141 ms
77,608 KB
testcase_29 AC 128 ms
77,864 KB
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ソースコード

diff # 

# Primal-Dual: https://tjkendev.github.io/procon-library/python/min_cost_flow/primal-dual.html
from heapq import heappush, heappop
from collections import deque


class MinCostFlow:
    INF = 10**18

    def __init__(self, N):
        self.N = N
        self.G = [[] for i in range(N)]

    def add_edge(self, fr, to, cap, cost):
        forward = [to, cap, cost, None]
        backward = forward[3] = [fr, 0, -cost, forward]
        self.G[fr].append(forward)
        self.G[to].append(backward)

    def flow(self, s, t, f):
        N = self.N
        G = self.G
        INF = MinCostFlow.INF

        res = 0
        H = [0]*N
        prv_v = [0]*N
        prv_e = [None]*N

        d0 = [INF]*N
        dist = [INF]*N

        while f:
            dist[:] = d0
            dist[s] = 0
            que = [(0, s)]

            while que:
                c, v = heappop(que)
                if dist[v] < c:
                    continue
                r0 = dist[v] + H[v]
                for e in G[v]:
                    w, cap, cost, _ = e
                    if cap > 0 and r0 + cost - H[w] < dist[w]:
                        dist[w] = r = r0 + cost - H[w]
                        prv_v[w] = v
                        prv_e[w] = e
                        heappush(que, (r, w))
            if dist[t] == INF:
                return None

            for i in range(N):
                H[i] += dist[i]

            d = f
            v = t
            while v != s:
                d = min(d, prv_e[v][1])
                v = prv_v[v]
            f -= d
            res += d * H[t]
            v = t
            while v != s:
                e = prv_e[v]
                e[1] -= d
                e[3][1] += d
                v = prv_v[v]
        return res


INF = 10 ** 17 + 1

H, W = map(int, input().split())
dists = [[INF for _ in range(W)] for _ in range(W)]
dist = [[INF for _ in range(H + W)] for _ in range(H)]
dq = deque()
dx = [-1, -1, 0, 0, 1, 1]
dy = [-1, 0, -1, 1, 0, 1]

for i in range(W):
    x, y = map(int, input().split())
    for j in range(H):
        for k in range(H + W):
            dist[j][k] = INF
    dist[x - 1][y - 1] = 0
    dq.append([x - 1, y - 1])
    while len(dq):
        px, py = dq.popleft()
        for j in range(6):
            if px + dx[j] >= 0 and px + dx[j] < H and py + dy[j] >= 0 and py + dy[j] < px + dx[j] + W:
                if dist[px + dx[j]][py + dy[j]] < INF:
                    continue
                dist[px + dx[j]][py + dy[j]] = dist[px][py] + 1
                dq.append([px + dx[j], py + dy[j]])
    for j in range(W):
        dists[i][j] = dist[0][j]

graph = MinCostFlow(2 * W + 2)
for i in range(W):
    graph.add_edge(2 * W, i, 1, 0)
    graph.add_edge(W + i, 2 * W + 1, 1, 0)
for i in range(W):
    for j in range(W):
        graph.add_edge(i, W + j, 1, dists[i][j])
ans = graph.flow(2 * W, 2 * W + 1, W)
print(ans)
0