結果

問題 No.1332 Range Nearest Query
ユーザー apricity
提出日時 2023-01-27 01:43:14
言語 C++17
(gcc 13.3.0 + boost 1.87.0)
結果
AC  
実行時間 378 ms / 2,500 ms
コード長 8,907 bytes
コンパイル時間 1,624 ms
コンパイル使用メモリ 138,112 KB
最終ジャッジ日時 2025-02-10 07:16:49
ジャッジサーバーID
（参考情報） 		judge5 / judge2
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ファイルパターン 結果
other AC * 48
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ソースコード

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#include<iostream>
#include<string>
#include<vector>
#include<algorithm>
#include<numeric>
#include<cmath>
#include<utility>
#include<tuple>
#include<cstdint>
#include<cstdio>
#include<iomanip>
#include<map>
#include<queue>
#include<set>
#include<stack>
#include<deque>
#include<unordered_map>
#include<unordered_set>
#include<bitset>
#include<chrono>
#include<random>
#include<cctype>
#include<cassert>
#include<cstddef>
#include<iterator>
#include<string_view>
#include<type_traits>
#ifdef LOCAL
#  include "debug_print.hpp"
#  define debug(...) debug_print::multi_print(#__VA_ARGS__, __VA_ARGS__)
#else
#  define debug(...) (static_cast<void>(0))
#endif
using namespace std;
#define rep(i,n) for(decltype(n) i=0; i<(n); i++)
#define rrep(i,n) for(decltype(n) i=(n)-1; i>=0; i--)
#define FOR(i,a,b) for(decltype(a) i=(a); i<(b); i++)
#define RFOR(i,a,b) for(decltype(b) i=(b-1); i>=(a); i--)
#define ALL(v) v.begin(), v.end()
#define RALL(v) v.rbegin(), v.rend()
#define UNIQUE(v) v.erase( unique(v.begin(), v.end()), v.end() );
#define pb push_back
using ll = long long;
using D = double;
using LD = long double;
using P = pair<int, int>;
template<typename T> using PQ = priority_queue<T,vector<T>>;
template<typename T> using minPQ = priority_queue<T, vector<T>, greater<T>>;
template<class T>bool chmax(T &a, const T &b) { if (a<b) { a=b; return 1; } return 0; }
template<class T>bool chmin(T &a, const T &b) { if (b<a) { a=b; return 1; } return 0; }
void yesno(bool flag) {cout << (flag?"Yes":"No") << "\n";}
template<typename T, typename U>
ostream &operator<<(ostream &os, const pair<T, U> &p) {
    os << p.first << " " << p.second;
    return os;
}
template<typename T, typename U>
istream &operator>>(istream &is, pair<T, U> &p) {
    is >> p.first >> p.second;
    return is;
}
template<typename T>
ostream &operator<<(ostream &os, const vector<T> &v) {
    int s = (int)v.size();
    for (int i = 0; i < s; i++) os << (i ? " " : "") << v[i];
    return os;
}
template<typename T>
istream &operator>>(istream &is, vector<T> &v) {
    for (auto &x : v) is >> x;
    return is;
}
void in() {}
template<typename T, class... U>
void in(T &t, U &...u) {
    cin >> t;
    in(u...);
}
void out() { cout << "\n"; }
template<typename T, class... U, char sep = ' '>
void out(const T &t, const U &...u) {
    cout << t;
    if (sizeof...(u)) cout << sep;
    out(u...);
}
void outr() {}
template<typename T, class... U, char sep = ' '>
void outr(const T &t, const U &...u) {
    cout << t;
    outr(u...);
}
#line 1 "structure/wavelet/succinct-indexable-dictionary.hpp"
/**
 * @brief Succinct Indexable Dictionary(完備辞書)
 */
struct SuccinctIndexableDictionary {
    size_t length;
    size_t blocks;
    vector< unsigned > bit, sum;
    SuccinctIndexableDictionary() = default;
    SuccinctIndexableDictionary(size_t length) : length(length), blocks((length + 31) >> 5) {
        bit.assign(blocks, 0U);
        sum.assign(blocks, 0U);
    }
    void set(int k) {
        bit[k >> 5] |= 1U << (k & 31);
    }
    void build() {
        sum[0] = 0U;
        for(int i = 1; i < blocks; i++) {
            sum[i] = sum[i - 1] + __builtin_popcount(bit[i - 1]);
        }
    }
    bool operator[](int k) {
        return (bool((bit[k >> 5] >> (k & 31)) & 1));
    }
    int rank(int k) {
        return (sum[k >> 5] + __builtin_popcount(bit[k >> 5] & ((1U << (k & 31)) - 1)));
    }
    int rank(bool val, int k) {
        return (val ? rank(k) : k - rank(k));
    }
};
#line 2 "structure/wavelet/wavelet-matrix.hpp"
/*
 * @brief Wavelet Matrix(ウェーブレット行列)
 * @docs docs/wavelet-matrix.md
 */
template< typename T, int MAXLOG >
struct WaveletMatrix {
    size_t length;
    SuccinctIndexableDictionary matrix[MAXLOG];
    int mid[MAXLOG];
    WaveletMatrix() = default;
    WaveletMatrix(vector< T > v) : length(v.size()) {
        vector< T > l(length), r(length);
        for(int level = MAXLOG - 1; level >= 0; level--) {
            matrix[level] = SuccinctIndexableDictionary(length + 1);
            int left = 0, right = 0;
            for(int i = 0; i < length; i++) {
                if(((v[i] >> level) & 1)) {
                    matrix[level].set(i);
                    r[right++] = v[i];
                } else {
                    l[left++] = v[i];
                }
            }
            mid[level] = left;
            matrix[level].build();
            v.swap(l);
            for(int i = 0; i < right; i++) {
                v[left + i] = r[i];
            }
        }
    }
    pair< int, int > succ(bool f, int l, int r, int level) {
        return {matrix[level].rank(f, l) + mid[level] * f, matrix[level].rank(f, r) + mid[level] * f};
    }
    // v[k]
    T access(int k) {
        T ret = 0;
        for(int level = MAXLOG - 1; level >= 0; level--) {
            bool f = matrix[level][k];
            if(f) ret |= T(1) << level;
            k = matrix[level].rank(f, k) + mid[level] * f;
        }
        return ret;
    }
    T operator[](const int &k) {
        return access(k);
    }
    // count i s.t. (0 <= i < r) && v[i] == x
    int rank(const T &x, int r) {
        int l = 0;
        for(int level = MAXLOG - 1; level >= 0; level--) {
            tie(l, r) = succ((x >> level) & 1, l, r, level);
        }
        return r - l;
    }
    // k-th(0-indexed) smallest number in v[l,r)
    T kth_smallest(int l, int r, int k) {
        assert(0 <= k && k < r - l);
        T ret = 0;
        for(int level = MAXLOG - 1; level >= 0; level--) {
            int cnt = matrix[level].rank(false, r) - matrix[level].rank(false, l);
            bool f = cnt <= k;
            if(f) {
                ret |= T(1) << level;
                k -= cnt;
            }
            tie(l, r) = succ(f, l, r, level);
        }
        return ret;
    }
    // k-th(0-indexed) largest number in v[l,r)
    T kth_largest(int l, int r, int k) {
        return kth_smallest(l, r, r - l - k - 1);
    }
    // count i s.t. (l <= i < r) && (v[i] < upper)
    int range_freq(int l, int r, T upper) {
        int ret = 0;
        for(int level = MAXLOG - 1; level >= 0; level--) {
            bool f = ((upper >> level) & 1);
            if(f) ret += matrix[level].rank(false, r) - matrix[level].rank(false, l);
            tie(l, r) = succ(f, l, r, level);
        }
        return ret;
    }
    // count i s.t. (l <= i < r) && (lower <= v[i] < upper)
    int range_freq(int l, int r, T lower, T upper) {
        return range_freq(l, r, upper) - range_freq(l, r, lower);
    }
    // max v[i] s.t. (l <= i < r) && (v[i] < upper)
    T prev_value(int l, int r, T upper) {
        int cnt = range_freq(l, r, upper);
        return cnt == 0 ? T(-1) : kth_smallest(l, r, cnt - 1);
    }
    // min v[i] s.t. (l <= i < r) && (lower <= v[i])
    T next_value(int l, int r, T lower) {
        int cnt = range_freq(l, r, lower);
        return cnt == r - l ? T(-1) : kth_smallest(l, r, cnt);
    }
};
template< typename T, int MAXLOG >
struct CompressedWaveletMatrix {
    WaveletMatrix< int, MAXLOG > mat;
    vector< T > ys;
    CompressedWaveletMatrix(const vector< T > &v) : ys(v) {
        sort(begin(ys), end(ys));
        ys.erase(unique(begin(ys), end(ys)), end(ys));
        vector< int > t(v.size());
        for(int i = 0; i < v.size(); i++) t[i] = get(v[i]);
        mat = WaveletMatrix< int, MAXLOG >(t);
    }
    inline int get(const T& x) {
        return lower_bound(begin(ys), end(ys), x) - begin(ys);
    }
    T access(int k) {
        return ys[mat.access(k)];
    }
    T operator[](const int &k) {
        return access(k);
    }
    int rank(const T &x, int r) {
        auto pos = get(x);
        if(pos == ys.size() || ys[pos] != x) return 0;
        return mat.rank(pos, r);
    }
    T kth_smallest(int l, int r, int k) {
        return ys[mat.kth_smallest(l, r, k)];
    }
    T kth_largest(int l, int r, int k) {
        return ys[mat.kth_largest(l, r, k)];
    }
    int range_freq(int l, int r, T upper) {
        return mat.range_freq(l, r, get(upper));
    }
    int range_freq(int l, int r, T lower, T upper) {
        return mat.range_freq(l, r, get(lower), get(upper));
    }
    T prev_value(int l, int r, T upper) {
        auto ret = mat.prev_value(l, r, get(upper));
        return ret == -1 ? T(-1) : ys[ret];
    }
    T next_value(int l, int r, T lower) {
        auto ret = mat.next_value(l, r, get(lower));
        return ret == -1 ? T(-1) : ys[ret];
    }
};
int main(){
    ios_base::sync_with_stdio(false);
    cin.tie(nullptr);
    int n; in(n);
    vector<int> x(n); in(x);
    CompressedWaveletMatrix<int,19> wm(x);
    int q; in(q);
    rep(_,q){
        int l,r,y; in(l,r,y); l--;
        int ans = 1e9;
        int c1 = wm.prev_value(l,r,y);
        if(c1 != -1) chmin(ans, y-c1);
        int c2 = wm.next_value(l,r,y);
        if(c2 != -1) chmin(ans, c2-y);
        out(ans);
    }
}
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