結果

問題 No.5007 Steiner Space Travel
ユーザー komori3komori3
提出日時 2023-04-24 00:54:58
言語 C++17
(gcc 12.3.0 + boost 1.83.0)
結果
AC  
実行時間 953 ms / 1,000 ms
コード長 12,931 bytes
コンパイル時間 2,920 ms
コンパイル使用メモリ 222,128 KB
実行使用メモリ 4,372 KB
スコア 8,435,106
最終ジャッジ日時 2023-04-24 00:55:34
合計ジャッジ時間 34,248 ms
ジャッジサーバーID
（参考情報） 		judge14 / judge11
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テストケース

テストケース表示
入力 結果 実行時間
実行使用メモリ
testcase_00 AC 953 ms
4,368 KB
testcase_01 AC 952 ms
4,372 KB
testcase_02 AC 952 ms
4,372 KB
testcase_03 AC 952 ms
4,368 KB
testcase_04 AC 952 ms
4,372 KB
testcase_05 AC 953 ms
4,368 KB
testcase_06 AC 951 ms
4,372 KB
testcase_07 AC 952 ms
4,368 KB
testcase_08 AC 952 ms
4,372 KB
testcase_09 AC 952 ms
4,368 KB
testcase_10 AC 952 ms
4,368 KB
testcase_11 AC 952 ms
4,368 KB
testcase_12 AC 952 ms
4,368 KB
testcase_13 AC 952 ms
4,372 KB
testcase_14 AC 952 ms
4,368 KB
testcase_15 AC 952 ms
4,368 KB
testcase_16 AC 952 ms
4,368 KB
testcase_17 AC 952 ms
4,372 KB
testcase_18 AC 952 ms
4,372 KB
testcase_19 AC 952 ms
4,368 KB
testcase_20 AC 952 ms
4,372 KB
testcase_21 AC 952 ms
4,368 KB
testcase_22 AC 952 ms
4,368 KB
testcase_23 AC 952 ms
4,368 KB
testcase_24 AC 952 ms
4,368 KB
testcase_25 AC 951 ms
4,372 KB
testcase_26 AC 952 ms
4,372 KB
testcase_27 AC 952 ms
4,368 KB
testcase_28 AC 952 ms
4,372 KB
testcase_29 AC 951 ms
4,368 KB
権限があれば一括ダウンロードができます

ソースコード

diff # 

#define _CRT_NONSTDC_NO_WARNINGS
#define _SILENCE_CXX17_ITERATOR_BASE_CLASS_DEPRECATION_WARNING
#include <bits/stdc++.h>
#include <random>
#include <unordered_set>
#include <array>
#include <optional>
#ifdef _MSC_VER
#include <opencv2/core.hpp>
#include <opencv2/core/utils/logger.hpp>
#include <opencv2/imgproc.hpp>
#include <opencv2/highgui.hpp>
#include <conio.h>
#include <ppl.h>
#include <filesystem>
#include <intrin.h>
/* g++ functions */
int __builtin_clz(unsigned int n) { unsigned long index; _BitScanReverse(&index, n); return 31 - index; }
int __builtin_ctz(unsigned int n) { unsigned long index; _BitScanForward(&index, n); return index; }
namespace std { inline int __lg(int __n) { return sizeof(int) * 8 - 1 - __builtin_clz(__n); } }
/* enable __uint128_t in MSVC */
//#include <boost/multiprecision/cpp_int.hpp>
//using __uint128_t = boost::multiprecision::uint128_t;
#else
#pragma GCC target("avx2")
#pragma GCC optimize("O3")
#pragma GCC optimize("unroll-loops")
#endif

/** compro io **/
namespace aux {
    template<typename T, unsigned N, unsigned L> struct tp { static void output(std::ostream& os, const T& v) { os << std::get<N>(v) << ", "; tp<T, N + 1, L>::output(os, v); } };
    template<typename T, unsigned N> struct tp<T, N, N> { static void output(std::ostream& os, const T& v) { os << std::get<N>(v); } };
}
template<typename... Ts> std::ostream& operator<<(std::ostream& os, const std::tuple<Ts...>& t) { os << '{'; aux::tp<std::tuple<Ts...>, 0, sizeof...(Ts) - 1>::output(os, t); return os << '}'; } // tuple out
template<class Ch, class Tr, class Container> std::basic_ostream<Ch, Tr>& operator<<(std::basic_ostream<Ch, Tr>& os, const Container& x); // container out (fwd decl)
template<class S, class T> std::ostream& operator<<(std::ostream& os, const std::pair<S, T>& p) { return os << '{' << p.first << ", " << p.second << '}'; } // pair out
template<class S, class T> std::istream& operator>>(std::istream& is, std::pair<S, T>& p) { return is >> p.first >> p.second; } // pair in
std::ostream& operator<<(std::ostream& os, const std::vector<bool>::reference& v) { os << (v ? '1' : '0'); return os; } // bool (vector) out
std::ostream& operator<<(std::ostream& os, const std::vector<bool>& v) { bool f = true; os << '{'; for (const auto& x : v) { os << (f ? "" : ", ") << x; f = false; } os << '}'; return os; } // vector<bool> out
template<class Ch, class Tr, class Container> std::basic_ostream<Ch, Tr>& operator<<(std::basic_ostream<Ch, Tr>& os, const Container& x) { bool f = true; os << '{'; for (auto& y : x) { os << (f ? "" : ", ") << y; f = false; } return os << '}'; } // container out
template<class T, class = decltype(std::begin(std::declval<T&>())), class = typename std::enable_if<!std::is_same<T, std::string>::value>::type> std::istream& operator>>(std::istream& is, T& a) { for (auto& x : a) is >> x; return is; } // container in
template<typename T> auto operator<<(std::ostream& out, const T& t) -> decltype(out << t.stringify()) { out << t.stringify(); return out; } // struct (has stringify() func) out
/** io setup **/
struct IOSetup { IOSetup(bool f) { if (f) { std::cin.tie(nullptr); std::ios::sync_with_stdio(false); } std::cout << std::fixed << std::setprecision(15); } }
iosetup(true); // set false when solving interective problems
/** string formatter **/
template<typename... Ts> std::string format(const std::string& f, Ts... t) { size_t l = std::snprintf(nullptr, 0, f.c_str(), t...); std::vector<char> b(l + 1); std::snprintf(&b[0], l + 1, f.c_str(), t...); return std::string(&b[0], &b[0] + l); }
/** dump **/
#define DUMPOUT std::cerr
std::ostringstream DUMPBUF;
#define dump(...) do{DUMPBUF<<"  ";DUMPBUF<<#__VA_ARGS__<<" :[DUMP - "<<__LINE__<<":"<<__FUNCTION__<<']'<<std::endl;DUMPBUF<<"    ";dump_func(__VA_ARGS__);DUMPOUT<<DUMPBUF.str();DUMPBUF.str("");DUMPBUF.clear();}while(0);
void dump_func() { DUMPBUF << std::endl; }
template <class Head, class... Tail> void dump_func(Head&& head, Tail&&... tail) { DUMPBUF << head; if (sizeof...(Tail) == 0) { DUMPBUF << " "; } else { DUMPBUF << ", "; } dump_func(std::move(tail)...); }
/** timer **/
class Timer {
    double t = 0, paused = 0, tmp;
public:
    Timer() { reset(); }
    static double time() {
#ifdef _MSC_VER
        return __rdtsc() / 2.3e9;
#else
        unsigned long long a, d;
        __asm__ volatile("rdtsc"
            : "=a"(a), "=d"(d));
        return (d << 32 | a) / 2.3e9;
#endif
    }
    void reset() { t = time(); }
    void pause() { tmp = time(); }
    void restart() { paused += time() - tmp; }
    double elapsed_ms() const { return (time() - t - paused) * 1000.0; }
};
/** rand **/
struct Xorshift {
    static constexpr uint64_t M = INT_MAX;
    static constexpr double e = 1.0 / M;
    uint64_t x = 88172645463325252LL;
    Xorshift() {}
    Xorshift(uint64_t seed) { reseed(seed); }
    inline void reseed(uint64_t seed) { x = 0x498b3bc5 ^ seed; for (int i = 0; i < 20; i++) next(); }
    inline uint64_t next() { x = x ^ (x << 7); return x = x ^ (x >> 9); }
    inline int next_int() { return next() & M; }
    inline int next_int(int mod) { return next() % mod; }
    inline int next_int(int l, int r) { return l + next_int(r - l + 1); }
    inline double next_double() { return next_int() * e; }
};
/** shuffle **/
template<typename T> void shuffle_vector(std::vector<T>& v, Xorshift& rnd) { int n = v.size(); for (int i = n - 1; i >= 1; i--) { int r = rnd.next_int(i); std::swap(v[i], v[r]); } }
/** split **/
std::vector<std::string> split(const std::string& str, const std::string& delim) {
    std::vector<std::string> res;
    std::string buf;
    for (const auto& c : str) {
        if (delim.find(c) != std::string::npos) {
            if (!buf.empty()) res.push_back(buf);
            buf.clear();
        }
        else buf += c;
    }
    if (!buf.empty()) res.push_back(buf);
    return res;
}
/** misc **/
template<typename A, size_t N, typename T> inline void Fill(A(&array)[N], const T& val) { std::fill((T*)array, (T*)(array + N), val); } // fill array
template<typename T, typename ...Args> auto make_vector(T x, int arg, Args ...args) { if constexpr (sizeof...(args) == 0)return std::vector<T>(arg, x); else return std::vector(arg, make_vector<T>(x, args...)); }
template<typename T> bool chmax(T& a, const T& b) { if (a < b) { a = b; return true; } return false; }
template<typename T> bool chmin(T& a, const T& b) { if (a > b) { a = b; return true; } return false; }
/** using **/
using ll = long long;
using ld = long double;
//using ld = boost::multiprecision::cpp_bin_float_quad;
using pii = std::pair<int, int>;
using pll = std::pair<ll, ll>;
using std::cin, std::cout, std::cerr, std::endl, std::string, std::vector, std::array;



constexpr int N = 100;
constexpr int M = 8;
constexpr int alpha = 5;

int xs[N + M + 1];
int ys[N + M + 1];

int C[N + M + 1][N + M + 1];
int nxt[N + M + 1][N + M + 1];

int ps[N + 1];



inline int dist2(int x1, int y1, int x2, int y2) {
    return (x1 - x2) * (x1 - x2) + (y1 - y2) * (y1 - y2);
}

struct KMeansRetVal {
    int cxs[M];
    int cys[M];
    int cluster[N];
};

KMeansRetVal kmeans(Xorshift& rnd) {

    int cxs[M] = {};
    int cys[M] = {};
    int nc = 0;
    double prob[N]; Fill(prob, 1.0 / N);

    double cumu[N];
    auto sampling = [&]() {
        memset(cumu, 0, sizeof(double) * N);
        for (int i = 1; i < N; i++) cumu[i] = cumu[i - 1] + prob[i - 1];
        double d = rnd.next_double() * cumu[N - 1];
        int idx = std::distance(cumu, std::upper_bound(cumu, cumu + N, d)) - 1;
        return idx;
    };

    auto nearest_centroid = [&](int x, int y) {
        int mindist = INT_MAX;
        int minidx = -1;
        for (int i = 0; i < nc; i++) {
            int dist = dist2(x, y, cxs[i], cys[i]);
            if (chmin(mindist, dist)) {
                minidx = i;
            }
        }
        return minidx;
    };

    for (int i = 0; i < M; i++) {
        int idx = sampling();
        cxs[i] = xs[idx];
        cys[i] = ys[idx];
        nc++;
        // update prob
        int sum = 0;
        for (int j = 0; j < N; j++) {
            int nearest = nearest_centroid(xs[j], ys[j]);
            int weight = dist2(xs[j], ys[j], cxs[nearest], cys[nearest]);
            prob[j] = weight;
            sum += weight;
        }
        for (int j = 0; j < N; j++) prob[j] /= sum;
    }

    int cluster[N];
    for (int i = 0; i < N; i++) cluster[i] = nearest_centroid(xs[i], ys[i]);

    while (true) {
        int xmean[M] = {}, ymean[M] = {};
        int ctr[M] = {};
        for (int i = 0; i < N; i++) {
            int c = cluster[i];
            xmean[c] += xs[i];
            ymean[c] += ys[i];
            ctr[c]++;
        }
        for (int c = 0; c < M; c++) {
            if (!ctr[c]) continue;
            cxs[c] = xmean[c] / ctr[c];
            cys[c] = ymean[c] / ctr[c];
        }
        bool update = false;
        for (int i = 0; i < N; i++) {
            int idx = nearest_centroid(xs[i], ys[i]);
            if (cluster[i] != idx) update = true;
            cluster[i] = idx;
        }
        if (!update) break;
    }

    KMeansRetVal res;
    memcpy(res.cxs, cxs, sizeof(int) * M);
    memcpy(res.cys, cys, sizeof(int) * M);
    memcpy(res.cluster, cluster, sizeof(int) * N);

    return res;
}

void initialize(std::istream& in, Xorshift& rnd) {

    int buf;
    in >> buf >> buf; // ignore N, M
    for (int i = 1; i <= N; i++) {
        in >> xs[i] >> ys[i];
    }
    for (int u = 1; u + 1 <= N; u++) {
        for (int v = u + 1; v <= N; v++) {
            int d2 = (xs[u] - xs[v]) * (xs[u] - xs[v]) + (ys[u] - ys[v]) * (ys[u] - ys[v]);
            C[u][v] = C[v][u] = d2 * alpha * alpha;
        }
    }
    
    // k-means
    auto kres = kmeans(rnd);
    for (int i = N + 1; i <= N + M; i++) {
        xs[i] = kres.cxs[i - N - 1];
        ys[i] = kres.cys[i - N - 1];
    }
    for (int u = 1; u <= N; u++) {
        for (int v = N + 1; v <= N + M; v++) {
            int d2 = (xs[u] - xs[v]) * (xs[u] - xs[v]) + (ys[u] - ys[v]) * (ys[u] - ys[v]);
            C[u][v] = C[v][u] = d2 * alpha;
        }
    }
    for (int u = N + 1; u <= N + M; u++) {
        for (int v = N + 1; v <= N + M; v++) {
            int d2 = (xs[u] - xs[v]) * (xs[u] - xs[v]) + (ys[u] - ys[v]) * (ys[u] - ys[v]);
            C[u][v] = d2;
        }
    }

    for (int u = 1; u <= N + M; u++) {
        for (int v = 1; v <= N + M; v++) {
            nxt[u][v] = v;
        }
    }
    for (int k = 1; k <= N + M; k++) {
        for (int u = 1; u <= N + M; u++) {
            for (int v = 1; v <= N + M; v++) {
                if (C[u][k] + C[k][v] < C[u][v]) {
                    C[u][v] = C[u][k] + C[k][v];
                    nxt[u][v] = nxt[u][k];
                }
            }
        }
    }

}

int calc_cost() {
    int cost = 0;
    for (int i = 0; i < N; i++) {
        cost += C[ps[i]][ps[i + 1]];
    }
    return cost;
}

inline int calc_diff(int i, int j) {
    int u1 = ps[i], u2 = ps[i + 1], v1 = ps[j], v2 = ps[j + 1];
    return C[u1][v1] + C[u2][v2] - C[u1][u2] - C[v1][v2];
}

inline double get_temp(double stemp, double etemp, double t, double T) {
    return etemp + (stemp - etemp) * (T - t) / T;
}

int main([[maybe_unused]] int argc, [[maybe_unused]] char** argv) {

    Timer timer;

#ifdef HAVE_OPENCV_HIGHGUI
    cv::utils::logging::setLogLevel(cv::utils::logging::LogLevel::LOG_LEVEL_SILENT);
#endif

#if 0
    std::ifstream ifs("../../tools/in/0000.txt");
    std::istream& in = ifs;
    std::ofstream ofs("../../tools/out/0000.txt");
    std::ostream& out = ofs;
#else
    std::istream& in = cin;
    std::ostream& out = cout;
#endif

    Xorshift rnd;

    initialize(in, rnd);

    for (int i = 0; i < N; i++) {
        ps[i] = i + 1;
    }
    ps[N] = 1;

    int cost = calc_cost();
    double stime = timer.elapsed_ms(), ntime, etime = 950;
    size_t loop = 0;
    while ((ntime = timer.elapsed_ms()) < etime) {
        loop++;
        int i = rnd.next_int(N);
        int j = rnd.next_int(N - 1);
        j += (i == j);
        if (i > j) std::swap(i, j);
        int diff = calc_diff(i, j);
        double temp = get_temp(1e5, 0, ntime - stime, etime - stime);
        double prob = exp(-diff / temp);
        if (rnd.next_double() < prob) {
            std::reverse(ps + i + 1, ps + j + 1);
            cost += diff;
        }
        //if (!(loop & 0xFFFFF)) {
        //    dump(loop, cost);
        //}
    }

    for (int i = N + 1; i <= N + M; i++) {
        out << xs[i] << ' ' << ys[i] << '\n';
    }

    vector<int> ans;
    for (int i = 0; i < N; i++) {
        int from = ps[i], to = ps[i + 1];
        while (from != to) {
            ans.push_back(from);
            from = nxt[from][to];
        }
    }
    ans.push_back(1);
    out << ans.size() << '\n';
    for (int u : ans) {
        out << (u > N ? 2 : 1) << ' ' << (u > N ? u - N : u) << '\n';
    }
    out << "1 1" << '\n';

    return 0;
}
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