結果
問題 |
No.957 植林
|
ユーザー |
![]() |
提出日時 | 2025-04-16 16:04:36 |
言語 | PyPy3 (7.3.15) |
結果 |
TLE
|
実行時間 | - |
コード長 | 3,218 bytes |
コンパイル時間 | 454 ms |
コンパイル使用メモリ | 81,408 KB |
実行使用メモリ | 158,408 KB |
最終ジャッジ日時 | 2025-04-16 16:11:28 |
合計ジャッジ時間 | 19,500 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 * 3 |
other | AC * 15 TLE * 1 -- * 29 |
ソースコード
import sys from collections import deque class Edge: def __init__(self, to, rev, capacity): self.to = to self.rev = rev self.capacity = capacity class Dinic: def __init__(self, n): self.size = n self.graph = [[] for _ in range(n)] def add_edge(self, fr, to, cap): forward = Edge(to, len(self.graph[to]), cap) backward = Edge(fr, len(self.graph[fr]), 0) self.graph[fr].append(forward) self.graph[to].append(backward) def bfs_level(self, s, t, level): q = deque() level[:] = [-1] * self.size level[s] = 0 q.append(s) while q: v = q.popleft() for edge in self.graph[v]: if edge.capacity > 0 and level[edge.to] == -1: level[edge.to] = level[v] + 1 q.append(edge.to) if edge.to == t: return def dfs_flow(self, v, t, upTo, iter_, level): if v == t: return upTo for i in range(iter_[v], len(self.graph[v])): edge = self.graph[v][i] if edge.capacity > 0 and level[v] < level[edge.to]: d = self.dfs_flow(edge.to, t, min(upTo, edge.capacity), iter_, level) if d > 0: edge.capacity -= d self.graph[edge.to][edge.rev].capacity += d return d iter_[v] += 1 return 0 def max_flow(self, s, t): flow = 0 level = [-1] * self.size while True: self.bfs_level(s, t, level) if level[t] == -1: return flow iter_ = [0] * self.size while True: f = self.dfs_flow(s, t, float('inf'), iter_, level) if f == 0: break flow += f def main(): H, W = map(int, sys.stdin.readline().split()) G = [] for _ in range(H): G.append(list(map(int, sys.stdin.readline().split()))) R = list(map(int, sys.stdin.readline().split())) C = list(map(int, sys.stdin.readline().split())) sum_R = sum(R) sum_C = sum(C) # Nodes: # S = 0, T = 1 # R_i: 2 ~ H+1 # C_j: H+2 ~ H+W+1 # X_ij: H+W+2 + i*W + j total_nodes = 2 + H + W + H * W dinic = Dinic(total_nodes) S = 0 T = 1 # Add edges for R_i for i in range(H): r_node = 2 + i cap = R[i] dinic.add_edge(S, r_node, cap) # Add edges for C_j for j in range(W): c_node = 2 + H + j cap = C[j] dinic.add_edge(S, c_node, cap) INF = 1 << 60 for i in range(H): for j in range(W): x_node = 2 + H + W + i * W + j r_node = 2 + i c_node = 2 + H + j # Add edges from R_i and C_j to X_ij dinic.add_edge(r_node, x_node, INF) dinic.add_edge(c_node, x_node, INF) # Add edge from X_ij to T dinic.add_edge(x_node, T, G[i][j]) min_cut = dinic.max_flow(S, T) answer = sum_R + sum_C - min_cut print(max(answer, 0)) if __name__ == "__main__": main()