-
Notifications
You must be signed in to change notification settings - Fork 9
/
casino.cpp
95 lines (81 loc) · 3.27 KB
/
casino.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
#include <iostream>
#include <boost/graph/adjacency_list.hpp>
#include <boost/graph/cycle_canceling.hpp>
#include <boost/graph/push_relabel_max_flow.hpp>
#include <boost/graph/successive_shortest_path_nonnegative_weights.hpp>
#include <boost/graph/find_flow_cost.hpp>
// Graph Type with nested interior edge properties for Cost Flow Algorithms
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; // new! weightmap corresponds to costs
typedef boost::graph_traits<graph>::edge_descriptor edge_desc;
typedef boost::graph_traits<graph>::out_edge_iterator out_edge_it; // Iterator
// Custom edge adder class
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
}
};
using namespace std;
// Idea:
// Train has l seats.
// Each seat can either be occupied by an agent or a regular passenger.
// An agent on a mission brings reward q, a regular passenger 0.
// l people board the train
// At a given stop:
// - either start mission to target-stop with value q
// - or travel to next stop without reward
void solve()
{
int stops, missions, maxAgents;
cin >> stops >> missions >> maxAgents;
int maxValue = 128; // 2^7
graph G(stops);
edge_adder adder(G);
auto c_map = boost::get(boost::edge_capacity, G);
auto r_map = boost::get(boost::edge_reverse, G);
auto rc_map = boost::get(boost::edge_residual_capacity, G);
auto source = boost::add_vertex(G);
auto target = boost::add_vertex(G);
adder.add_edge(source, 0, maxAgents, 0);
adder.add_edge(stops - 1, target, maxAgents, 0);
for (int stop = 0; stop < stops - 1; ++stop) {
adder.add_edge(stop, stop + 1, maxAgents, maxValue);
}
int u, v, q;
for (int mission = 0; mission < missions; ++mission) {
cin >> u >> v >> q;
adder.add_edge(u, v, 1, maxValue * (v - u) - q);
}
boost::successive_shortest_path_nonnegative_weights(G, source, target);
auto cost = boost::find_flow_cost(G);
cost = maxAgents * maxValue * (stops - 1) - cost;
cout << cost << endl;
}
int main()
{
int t; cin >> t;
for (int i = 0; i < t; ++i) {
solve();
}
return 0;
}