-
Notifications
You must be signed in to change notification settings - Fork 2
/
main.cpp
108 lines (87 loc) · 3.11 KB
/
main.cpp
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
#include <bits/stdc++.h>
#include <boost/graph/adjacency_list.hpp>
#include <boost/graph/successive_shortest_path_nonnegative_weights.hpp>
#include <boost/graph/find_flow_cost.hpp>
typedef boost::adjacency_list_traits<boost::vecS, boost::vecS, boost::directedS> traits;
typedef boost::adjacency_list<boost::vecS, boost::vecS, boost::directedS, boost::no_property,
boost::property<boost::edge_capacity_t, long,
boost::property<boost::edge_residual_capacity_t, long,
boost::property<boost::edge_reverse_t, traits::edge_descriptor,
boost::property <boost::edge_weight_t, long> > > > > graph;
typedef boost::graph_traits<graph>::edge_descriptor edge_desc;
typedef boost::graph_traits<graph>::out_edge_iterator out_edge_it;
class edge_adder {
graph &G;
public:
explicit edge_adder(graph &G) : G(G) {}
void add_edge(int from, int to, long capacity, long cost) {
auto c_map = boost::get(boost::edge_capacity, G);
auto r_map = boost::get(boost::edge_reverse, G);
auto w_map = boost::get(boost::edge_weight, G); // new!
const edge_desc e = boost::add_edge(from, to, G).first;
const edge_desc rev_e = boost::add_edge(to, from, G).first;
c_map[e] = capacity;
c_map[rev_e] = 0; // reverse edge has no capacity!
r_map[e] = rev_e;
r_map[rev_e] = e;
w_map[e] = cost; // new assign cost
w_map[rev_e] = -cost; // new negative cost
}
};
void solve() {
int N, M, S; std::cin >> N >> M >> S;
std::vector<int> limits;
for (int i = 0; i < S; i++) {
int l; std::cin >> l;
limits.push_back(l);
}
std::vector<int> states;
for (int i = 0; i < M; i++) {
int s; std::cin >> s;
states.push_back(s);
}
std::vector<std::vector<int>> bids(N, std::vector<int>());
int max_bid = 0;
for (int i = 0; i < N; i++) {
for (int j = 0; j < M; j++) {
int b; std::cin >> b;
bids[i].push_back(b);
max_bid = std::max(max_bid, b);
}
}
graph G(N + M + S);
edge_adder adder(G);
auto c_map = boost::get(boost::edge_capacity, G);
auto rc_map = boost::get(boost::edge_residual_capacity, G);
const auto source = boost::add_vertex(G);
const auto target = boost::add_vertex(G);
const int sites_offset = N;
const int states_offset = N + M;
for (int i = 0; i < N; i++) {
adder.add_edge(source, i, 1, 0);
for (int j = 0; j < M; j++) {
adder.add_edge(i, sites_offset + j, 1, max_bid - bids[i][j]);
}
}
for (int i = 0; i < M; i++) {
int j = states[i] - 1;
adder.add_edge(sites_offset + i, states_offset + j, 1, 0);
}
for (int i = 0; i < S; i++) {
adder.add_edge(states_offset + i, target, limits[i], 0);
}
boost::successive_shortest_path_nonnegative_weights(G, source, target);
int cost = boost::find_flow_cost(G);
int flow = 0;
out_edge_it e, eend;
for (boost::tie(e, eend) = boost::out_edges(boost::vertex(source, G), G); e != eend; e++) {
flow += c_map[*e] - rc_map[*e];
}
int profit = flow * max_bid - cost;
std::cout << flow << " " << profit << std::endl;
}
int main() {
std::ios_base::sync_with_stdio(false);
int t; std::cin >> t;
while (t--) solve();
}