動的遅延評価セグメント木
lib/segtree/dynamic_lazy_segment_tree.hpp
インクルード
#include "segtree/dynamic_lazy_segment_tree.hpp"
クラス
| 名前 | 説明 |
|---|---|
DynamicLazySegmentTree |
動的遅延評価セグメント木 |
検証
依存するヘッダ(1)
-
モノイドの要件
lib/segtree/monoid.hpp
検証プログラム(1)
-
test/yosupo/data_structure/range_affine_range_sum_large_array.test.cpp
test/yosupo/data_structure/range_affine_range_sum_large_array.test.cpp
実装
#pragma once
#include <algorithm>
#include <cassert>
#include <cstdint>
#include <utility>
#include <vector>
#include "segtree/monoid.hpp"
/// @brief 動的遅延評価セグメント木
/// @tparam S データのモノイド
/// @tparam F 作用素モノイド(op が作用素の合成、f が値への作用)
/// @complexity 点更新・区間作用・区間積は領域長を $n$ として $O(\log n)$
template <class S, class F>
requires monoid<S> && monoid<F> && acts_on<F, typename S::value_type>
struct DynamicLazySegmentTree {
private:
using T = typename S::value_type;
using U = typename F::value_type;
struct Node {
T value;
U lazy;
int left, right;
constexpr Node() : value(), lazy(F::id()), left(-1), right(-1) {}
constexpr Node(T _value) : value(_value), lazy(F::id()), left(-1), right(-1) {}
};
public:
/// @brief 添字領域[0,n)の空の木を構築する
/// @complexity $O(1)$
DynamicLazySegmentTree(std::int64_t _n) : data(), n(_n) {}
/// @brief k番目の値を返す
/// @complexity $O(\log n)$
T operator[](std::int64_t k) {
assert(0 <= k && k < n);
return prod(k, k + 1);
}
/// @brief k番目の値を返す
/// @complexity $O(\log n)$
T at(std::int64_t k) { return operator[](k); }
/// @brief k番目の値を返す
/// @complexity $O(\log n)$
T get(std::int64_t k) { return operator[](k); }
/// @brief k番目をvalへ変更する
/// @complexity $O(\log n)$
void set(std::int64_t k, T val) {
assert(0 <= k && k < n);
set(k, val, data.empty() ? -1 : 0, 0, n);
}
/// @brief k番目を単位元へ戻す
/// @complexity $O(\log n)$
void reset(std::int64_t k) { set(k, S::id()); }
/// @brief 半開区間[a,b)にfを作用する
/// @complexity $O(\log n)$
void apply(std::int64_t a, std::int64_t b, U f) {
assert(0 <= a && a <= b && b <= n);
apply(a, b, f, data.empty() ? -1 : 0, 0, n);
}
/// @brief 全要素の積を返す
/// @complexity $O(1)$
T all_prod() const { return data.empty() ? S::id(n) : data[0].value; }
/// @brief 半開区間[a,b)の積を返す
/// @complexity $O(\log n)$
T prod(std::int64_t a, std::int64_t b) {
assert(0 <= a && a <= n);
assert(0 <= b && b <= n);
if (data.empty()) return S::id(n);
return prod(a, b, 0, 0, n);
}
private:
std::vector<Node> data;
std::int64_t n;
int set(std::int64_t k, T val, int idx, std::int64_t l, std::int64_t r) {
if (l + 1 == r) {
if (idx == -1) {
idx = data.size();
data.emplace_back(val);
} else {
data[idx].value = val;
}
return idx;
}
std::int64_t m = (l + r) >> 1;
if (idx == -1) {
idx = data.size();
data.emplace_back(S::id(r - l));
}
push(idx, l, r);
if (k < m) data[idx].left = set(k, val, data[idx].left, l, m);
else data[idx].right = set(k, val, data[idx].right, m, r);
return update(idx, l, r);
}
int apply(std::int64_t a, std::int64_t b, U f, int idx, std::int64_t l, std::int64_t r) {
if (r <= a || b <= l) return idx;
if (a <= l && r <= b) return all_apply(idx, f, l, r);
if (idx == -1) {
idx = data.size();
data.emplace_back(S::id(r - l));
}
push(idx, l, r);
std::int64_t m = (l + r) >> 1;
data[idx].left = apply(a, b, f, data[idx].left, l, m);
data[idx].right = apply(a, b, f, data[idx].right, m, r);
return update(idx, l, r);
}
T prod(std::int64_t a, std::int64_t b, int idx, std::int64_t l, std::int64_t r) {
if (idx == -1 || r <= a || b <= l) return S::id(r - l);
if (a <= l && r <= b) return data[idx].value;
push(idx, l, r);
std::int64_t m = (l + r) >> 1;
return S::op(prod(a, b, data[idx].left, l, m), prod(a, b, data[idx].right, m, r));
}
int update(int k, std::int64_t l, std::int64_t r) {
std::int64_t m = (l + r) >> 1;
data[k].value = S::op(data[k].left == -1 ? S::id(m - l) : data[data[k].left].value,
data[k].right == -1 ? S::id(r - m) : data[data[k].right].value);
return k;
}
int all_apply(int k, U f, std::int64_t l, std::int64_t r) {
if (k == -1) {
k = data.size();
data.emplace_back(S::id(r - l));
}
data[k].value = F::f(f, data[k].value);
data[k].lazy = F::op(f, data[k].lazy);
return k;
}
void push(int k, std::int64_t l, std::int64_t r) {
std::int64_t m = (l + r) >> 1;
data[k].left = all_apply(data[k].left, data[k].lazy, l, m);
data[k].right = all_apply(data[k].right, data[k].lazy, m, r);
data[k].lazy = F::id();
}
};