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#include "testlib.h" | ||
#include <vector> | ||
#include <map> | ||
#include <utility> | ||
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using namespace std; | ||
using ll = long long; | ||
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struct E | ||
{ | ||
int a, b; | ||
ll dist; | ||
}; | ||
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struct UnionFind | ||
{ | ||
vector<int> p, r; | ||
int gn; | ||
UnionFind(int n = 0) : p(n, -1), r(n, 1), gn(n) {} | ||
void merge(int a, int b) | ||
{ | ||
int x = group(a), y = group(b); | ||
if (x == y) | ||
return; // same | ||
gn--; | ||
if (r[x] < r[y]) | ||
{ | ||
p[x] = y; | ||
} | ||
else | ||
{ | ||
p[y] = x; | ||
if (r[x] == r[y]) | ||
r[x]++; | ||
} | ||
} | ||
int group(int a) | ||
{ | ||
if (p[a] == -1) | ||
return a; | ||
return p[a] = group(p[a]); | ||
} | ||
bool same(int a, int b) { return group(a) == group(b); } | ||
}; | ||
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ll read_ans(int n, int m, vector<E> edges, InStream &stream) | ||
{ | ||
ll x = stream.readLong(); | ||
ll sum = 0; | ||
UnionFind uf(n); | ||
for (int i = 0; i < n - 1; i++) | ||
{ | ||
int ei = stream.readInt(0, m); | ||
auto e = edges[ei]; | ||
if (uf.same(e.a, e.b)) | ||
{ | ||
stream.quit(_wa, "input isn't tree"); | ||
} | ||
uf.merge(e.a, e.b); | ||
sum += e.dist; | ||
} | ||
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if (x != sum) | ||
{ | ||
stream.quitf(_wa, "X(" I64 ") isn't correct, sum = " I64, x, sum); | ||
} | ||
return x; | ||
} | ||
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int main(int argc, char *argv[]) | ||
{ | ||
setName("compare mst"); | ||
registerTestlibCmd(argc, argv); | ||
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// input | ||
int n = inf.readInt(); | ||
int m = inf.readInt(); | ||
vector<E> edges(m); | ||
for (int i = 0; i < m; i++) | ||
{ | ||
int a = inf.readInt(); | ||
int b = inf.readInt(); | ||
ll c = inf.readLong(); | ||
edges[i] = {a, b, c}; | ||
} | ||
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ll x_ans = read_ans(n, m, edges, ans); | ||
ll x_ouf = read_ans(n, m, edges, ouf); | ||
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if (x_ans < x_ouf) | ||
{ | ||
quitf(_wa, "There is the better solution"); | ||
} | ||
if (x_ans > x_ouf) | ||
{ | ||
quitf(_fail, "Participate find better answer"); | ||
} | ||
quitf(_ok, "OK: " I64, x_ouf); | ||
} |
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4 7 | ||
0 1 4 | ||
0 2 2 | ||
0 3 3 | ||
1 2 6 | ||
1 3 8 | ||
2 3 1 | ||
1 1 0 |
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4 3 | ||
0 1 1 | ||
1 2 2 | ||
3 1 3 |
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6 5 | ||
0 1 1000000000 | ||
1 2 1000000000 | ||
2 3 1000000000 | ||
3 4 1000000000 | ||
4 5 1000000000 |
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#include <iostream> | ||
#include "random.h" | ||
#include "../params.h" | ||
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using namespace std; | ||
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struct E | ||
{ | ||
int from, to, cost; | ||
}; | ||
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int main(int, char *argv[]) | ||
{ | ||
long long seed = atoll(argv[1]); | ||
auto gen = Random(seed); | ||
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int n = gen.uniform(N_MAX - 100, N_MAX); | ||
int m = gen.uniform(n - 1, (int)N_MAX); | ||
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vector<E> edges; | ||
for (int i = 1; i < n; i++) | ||
{ | ||
int c = gen.uniform(0LL, C_MAX); | ||
edges.push_back({gen.uniform(0, i - 1), i, c}); | ||
} | ||
for (int i = n - 1; i < m; i++) | ||
{ | ||
int a = gen.uniform(0, n - 1); | ||
int b = gen.uniform(0, n - 1); | ||
int c = gen.uniform(0LL, C_MAX); | ||
edges.push_back({a, b, c}); | ||
} | ||
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auto idx = gen.perm<int>(n); | ||
printf("%d %d\n", n, m); | ||
for (auto e : edges) | ||
{ | ||
printf("%d %d %d\n", idx[e.from], idx[e.to], e.cost); | ||
} | ||
return 0; | ||
} |
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#include <iostream> | ||
#include "random.h" | ||
#include "../params.h" | ||
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using namespace std; | ||
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struct E | ||
{ | ||
int from, to, cost; | ||
}; | ||
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int main(int, char *argv[]) | ||
{ | ||
long long seed = atoll(argv[1]); | ||
auto gen = Random(seed); | ||
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int n = gen.uniform(1LL, N_MAX); | ||
int m = gen.uniform(n - 1, (int)N_MAX); | ||
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vector<E> edges; | ||
for (int i = 1; i < n; i++) | ||
{ | ||
int c = gen.uniform(0LL, C_MAX); | ||
edges.push_back({gen.uniform(0, i - 1), i, c}); | ||
} | ||
for (int i = n - 1; i < m; i++) | ||
{ | ||
int a = gen.uniform(0, n - 1); | ||
int b = gen.uniform(0, n - 1); | ||
int c = gen.uniform(0LL, C_MAX); | ||
edges.push_back({a, b, c}); | ||
} | ||
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auto idx = gen.perm<int>(n); | ||
printf("%d %d\n", n, m); | ||
for (auto e : edges) | ||
{ | ||
printf("%d %d %d\n", idx[e.from], idx[e.to], e.cost); | ||
} | ||
return 0; | ||
} |
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#include <iostream> | ||
#include "random.h" | ||
#include "../params.h" | ||
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#define SMALL_N_MAX 1000 | ||
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using namespace std; | ||
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struct E | ||
{ | ||
int from, to, cost; | ||
}; | ||
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int main(int, char *argv[]) | ||
{ | ||
long long seed = atoll(argv[1]); | ||
auto gen = Random(seed); | ||
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int n = gen.uniform(1, SMALL_N_MAX); | ||
int m = gen.uniform(n - 1, (int)N_MAX); | ||
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vector<E> edges; | ||
for (int i = 1; i < n; i++) | ||
{ | ||
int c = gen.uniform(0LL, C_MAX); | ||
edges.push_back({gen.uniform(0, i - 1), i, c}); | ||
} | ||
for (int i = n - 1; i < m; i++) | ||
{ | ||
int a = gen.uniform(0, n - 1); | ||
int b = gen.uniform(0, n - 1); | ||
int c = gen.uniform(0LL, C_MAX); | ||
edges.push_back({a, b, c}); | ||
} | ||
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auto idx = gen.perm<int>(n); | ||
printf("%d %d\n", n, m); | ||
for (auto e : edges) | ||
{ | ||
printf("%d %d %d\n", idx[e.from], idx[e.to], e.cost); | ||
} | ||
return 0; | ||
} |
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#include <iostream> | ||
#include "random.h" | ||
#include "../params.h" | ||
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#define SMALL_N_MAX 1000 | ||
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using namespace std; | ||
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struct E | ||
{ | ||
int from, to, cost; | ||
}; | ||
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int main(int, char *argv[]) | ||
{ | ||
long long seed = atoll(argv[1]); | ||
auto gen = Random(seed); | ||
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int n = gen.uniform(1, SMALL_N_MAX); | ||
int m = gen.uniform(n - 1, 2 * n); | ||
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vector<E> edges; | ||
for (int i = 1; i < n; i++) | ||
{ | ||
int c = gen.uniform(0, 1); | ||
edges.push_back({gen.uniform(0, i - 1), i, c}); | ||
} | ||
for (int i = n - 1; i < m; i++) | ||
{ | ||
int a = gen.uniform(0, n - 1); | ||
int b = gen.uniform(0, n - 1); | ||
int c = gen.uniform(0, 1); | ||
edges.push_back({a, b, c}); | ||
} | ||
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auto idx = gen.perm<int>(n); | ||
printf("%d %d\n", n, m); | ||
for (auto e : edges) | ||
{ | ||
printf("%d %d %d\n", idx[e.from], idx[e.to], e.cost); | ||
} | ||
return 0; | ||
} |
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#include <iostream> | ||
#include "random.h" | ||
#include "../params.h" | ||
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using namespace std; | ||
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struct E | ||
{ | ||
int from, to, cost; | ||
}; | ||
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int main(int, char *argv[]) | ||
{ | ||
long long seed = atoll(argv[1]); | ||
auto gen = Random(seed); | ||
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int n = N_MAX; | ||
int m = n - 1; | ||
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vector<E> edges; | ||
for (int i = 1; i < n; i++) | ||
{ | ||
int c = gen.uniform(0LL, C_MAX); | ||
edges.push_back({0, i, c}); | ||
} | ||
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vector<int> idx = gen.perm<int>(n); | ||
printf("%d %d\n", n, m); | ||
for (auto e : edges) | ||
{ | ||
printf("%d %d %d\n", idx[e.from], idx[e.to], e.cost); | ||
} | ||
return 0; | ||
} |
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{ | ||
"example_00.in": "020c548c74d1ad61da527d9dd149e5510cba1a30459fe3f933b6ec0b742f87d0", | ||
"example_00.out": "ad3c92a1dec31cb7cb05f6f2dfd5c7a1517f73b86a3c7cc1b131a17c0c01dd84", | ||
"example_01.in": "4859c57ba64d8088c41b77c192a9535ac0682e0e478848d9a8fd238a2c4b7691", | ||
"example_01.out": "fe8b5f684b0ffe72aab5b90254f0e42855029fd343c56e3104a70847446f8fbf", | ||
"example_02.in": "026aafd663e40b9bbc108768553e0b89a3bf8130e4bdc46c29296f864c5e41bb", | ||
"example_02.out": "4906a5c6228e0dec625c797d8d5364f4871b8f067dd9a45314123b4c95e98897", | ||
"max_random_00.in": "c58ac9ee4e3a587a14ed8281e3e0caa8181fefb559848b6b40fcaf1908226aef", | ||
"max_random_00.out": "99bf4f81049f93f4aec70180976be2e0b2111c280f1b8a2d358802bdc22b9de6", | ||
"max_random_01.in": "7923205b114a3b91eeffa3b34ffbf3dd2457f7514876c4919c92fe8af944d4f2", | ||
"max_random_01.out": "b1f78ec766ae00aaae3d7fffff4a6aca2b758cd86bca29d31569cc4527fb2cd5", | ||
"max_random_02.in": "e922cddc347c430132015acd94835261383f14d436d16376f68b78903d06b975", | ||
"max_random_02.out": "791ced302a13a1f34305bca903396001a449d8e96700812cd8c99f28e2081ae7", | ||
"max_random_03.in": "dfef6713c2ac6309f9cd4a1fe5f39e0ba5d13f98731891d25ca8a8c5d55a6cd9", | ||
"max_random_03.out": "9cd10fef97af5b075e6a3f5205e010401b9992d450e9f07afca154109ddd9c78", | ||
"max_random_04.in": "38a30545074ddfa969bc382751d6502f71f00a5058a8a76238196051b5cc555f", | ||
"max_random_04.out": "8bddd5ae832235f7784ba084795ca58d623cedfd1ee8cd5f65358b63486885d4", | ||
"random_00.in": "a0f03f21f6e3a29c879eea983c3473c3afa70f7f5430b5bf2a18539af7ef699c", | ||
"random_00.out": "3db97134e106cf943c0b2ff212dd146ba47781af727b387ccd6222ce2ee41b40", | ||
"random_01.in": "9b6c3e3c0d9159d31eb122334e1d06a4613c49c64486b035ae9e12026a337ff8", | ||
"random_01.out": "eec284432e5df4149d02ed8e9ee23db8184ae8c74a345cb4cda5f8e3800049f1", | ||
"random_02.in": "8f14df85adeec8b34d1b36fc72964f913ae71e3adc1fbb5ad6c34fe3ea292099", | ||
"random_02.out": "463eebcf2e0e49e932744789799f96f1a11ffad6066fb95caa38b42c4ff10c18", | ||
"random_03.in": "6f64c9c91034c30f948b9e5ef46c9fffe8180b4da26153d914020324279af08b", | ||
"random_03.out": "98d9cb7fbe298fe8f37ea870038554c56e042ee8fd3acb97fe88caa4ef7f14b3", | ||
"random_04.in": "fc3fa49fbcc1b2ad3cf9e8d022a43b5dc6bae05e7ead475b461633e0de8c1824", | ||
"random_04.out": "7cec49b3db09000cc8b9766405a6dfcdf69c6f219c7cfca6dcc8bd0098e1aa1d", | ||
"small_00.in": "4e40f0736cda259a70522b2426b2a204466eefcfa8fcb0851af8958e2722f2fe", | ||
"small_00.out": "78cc7cd0c89413f9508b2f2e7505633ed77d5e759b1485c90f2e191a618846ab", | ||
"small_01.in": "d8cce13331750d77510a5cbe326615a7634d03770aa24d508cdc19dbda581319", | ||
"small_01.out": "1296881c571229c44b864c0329a9bd2bbfc71e799ce224311a6caba3ba3771db", | ||
"small_02.in": "4eb698b18026e57cb664db73a563368b7f9aeba5e80dc9971481c67814a16f85", | ||
"small_02.out": "8edb40464d90b4bf3b3fd7ad346b9d2084ede859e648b5610d86d5916d80b7a1", | ||
"small_03.in": "709461c35d8545f3dd6f16f794aa7ec4d7c2bb6b0fda4e4c45fa3eb365754c49", | ||
"small_03.out": "06ec70360e6f935a5d30ebac62f623f305015949556f48327d3b56c6bc39fce7", | ||
"small_04.in": "1b6de416fb67cba7028997613ec9f582eb232932435673343dae01f431859d84", | ||
"small_04.out": "c8f1bc9ec7bc4617c8604fde9be53bb4b103aa93391354b10cabef8a21a3ddc4", | ||
"small_c01_00.in": "d6ae2e7f8aab2edb91bd490c49f78935a8de13bdd6a98706535aeb404488f5f4", | ||
"small_c01_00.out": "7d47fefe4b27651468b72f4d2bb3da842048fe76b9d65c1d8802070a1349692e", | ||
"small_c01_01.in": "adba72e6de177bfb7b20342c7ee7ba64d59a56038d8c28db221d6d68cf6f0160", | ||
"small_c01_01.out": "765332438f2fe6735bd0953b4bef824f1790668f56146dfbd2a0e834ddac8561", | ||
"small_c01_02.in": "c9ce0284afdc5d36aa3f6db85e2d1181c577257f1a4d66f939b2caa7f0180a2a", | ||
"small_c01_02.out": "adb7545034f87254b0f878e990c1688360a525f3df1717718556cc1d351a59e5", | ||
"small_c01_03.in": "b2d2764bb9f05bdda5ee45c40685bae660dcca23a673ba1290c43387dc449c64", | ||
"small_c01_03.out": "61062983b3098eb5d89e7321187b0a6ae43d12bbb6d12aa9c4e8f4daf7266af7", | ||
"small_c01_04.in": "aece442481b2b2fd40bcaaf5373afbb575c933f71abfd8b0235d84aeead3398f", | ||
"small_c01_04.out": "7d05b511a7073be10f4d139433f2fb7099bb39c4add8b4a960ef824ce282be7f", | ||
"star_00.in": "2b04764631aa1eaa5d7a46373025f7fd0993db946bef83b6d0499942878330b5", | ||
"star_00.out": "31cefbd15822eeeffcd67b793deeafa522c4783a0c2b4bcb09a8ff79e563d6bf" | ||
} |
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