blob: f5b023f5476f0d7834d322edf76532bab326d387 (
plain)
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
|
#include "../util.h"
#include <datastructures/sparseTable.cpp>
#include <graph/LCA_sparse.cpp>
namespace expected {
#include <graph/hld.cpp>
}
void stress_test() {
ll queries = 0;
for (int tries = 0; tries < 200'000; tries++) {
int n = Random::integer<int>(2, 30);
Graph<NoData> g(n);
g.tree();
vector<vector<int>> adj(n);
g.forEdges([&](int a, int b){
adj[a].push_back(b);
adj[b].push_back(a);
});
LCA lca;
lca.init(adj, 0);
expected::adj = adj;
expected::init();
for (int i = 0; i < n; i++) {
for (int j = 0; j <= i; j++) {
auto got = lca.getLCA(i, j);
auto expected = expected::get_lca(i, j);
if (got != expected) cerr << "got: " << got << ", expected: " << expected << FAIL;
}
}
queries += n;
}
cerr << "tested random queries: " << queries << endl;
}
constexpr int N = 1'000'000;
void performance_test() {
timer t;
Graph<NoData> g(N);
g.tree();
vector<vector<int>> adj(N);
g.forEdges([&](int a, int b){
adj[a].push_back(b);
adj[b].push_back(a);
});
hash_t hash = 0;
t.start();
LCA lca;
lca.init(adj, 0);
for (int i = 1; i < N; i++) hash += lca.getLCA(i-1, i);
t.stop();
if (t.time > 1000) cerr << "too slow: " << t.time << FAIL;
cerr << "tested performance: " << t.time << "ms (hash: " << hash << ")" << endl;
}
int main() {
stress_test();
if (!sanitize) performance_test();
}
|