結果
| 問題 | No.3411 Range Clamp Sum |
| コンテスト | |
| ユーザー |
Kude
|
| 提出日時 | 2025-12-18 03:19:04 |
| 言語 | C++23 (gcc 13.3.0 + boost 1.89.0) |
| 結果 |
AC
|
| 実行時間 | 789 ms / 10,000 ms |
| コード長 | 8,034 bytes |
| 記録 | |
| コンパイル時間 | 4,118 ms |
| コンパイル使用メモリ | 329,524 KB |
| 実行使用メモリ | 40,320 KB |
| 最終ジャッジ日時 | 2025-12-18 03:19:23 |
| 合計ジャッジ時間 | 15,697 ms |
|
ジャッジサーバーID (参考情報) |
judge4 / judge3 |
(要ログイン)
| ファイルパターン | 結果 |
|---|---|
| sample | AC * 2 |
| other | AC * 28 |
ソースコード
#include<bits/stdc++.h>
namespace {
#pragma GCC diagnostic ignored "-Wunused-function"
#include<atcoder/all>
#pragma GCC diagnostic warning "-Wunused-function"
using namespace std;
using namespace atcoder;
#define rep(i,n) for(int i = 0; i < (int)(n); i++)
#define rrep(i,n) for(int i = (int)(n) - 1; i >= 0; i--)
#define all(x) begin(x), end(x)
#define rall(x) rbegin(x), rend(x)
template<class T> bool chmax(T& a, const T& b) { if (a < b) { a = b; return true; } else return false; }
template<class T> bool chmin(T& a, const T& b) { if (b < a) { a = b; return true; } else return false; }
using ll = long long;
using P = pair<int,int>;
using VI = vector<int>;
using VVI = vector<VI>;
using VL = vector<ll>;
using VVL = vector<VL>;
#pragma GCC target("popcnt")
template <class D, auto D_build, class Q, auto Q_op, auto Q_e, auto D_query>
struct AbstractWaveletMatrix {
int height = 0;
int n = 0;
using storage_type = unsigned int;
static constexpr int B = numeric_limits<storage_type>::digits,
LowBits = __lg(B);
static_assert(B == 1 << LowBits);
struct BVecElem {
storage_type v;
int acc;
};
struct BitVector;
vector<BVecElem> bvecs_storage;
vector<BitVector> bvecs;
vector<D> D_data;
struct BitVector {
span<BVecElem> d;
int zeros;
BitVector(span<BVecElem> d, int k, const auto& a, auto& na) : d(d) {
int n = size(a);
int ptr0 = 0, ptr1 = n;
for (int i = 0; i < n; i += B) {
int len = min(B, n - i);
storage_type x = 0;
for (int i_low = 0; i_low < len; i_low++) {
bool bit = a[i | i_low] >> k & 1;
if (!bit) {
na[ptr0++] = a[i | i_low];
} else {
x |= storage_type(bit) << i_low;
na[--ptr1] = a[i | i_low];
}
}
d[i >> LowBits].v = x;
}
assert(ptr0 == ptr1);
zeros = ptr0;
reverse(na.begin() + ptr0, na.begin() + n);
for (int i = 0, sz = size(d); i + 1 < sz; i++) {
d[i + 1].acc = d[i].acc + popcount(d[i].v);
}
}
int rank1(int i) {
auto di = d[i >> LowBits];
int low = i & (B - 1);
auto mask = (storage_type(1) << low) - 1;
return di.acc + popcount(di.v & mask);
}
int rank(bool b, int i) { return b == 0 ? i - rank1(i) : rank1(i); }
int mv(bool b, int i) { return b == 0 ? i - rank1(i) : zeros + rank1(i); }
};
AbstractWaveletMatrix() = default;
template <class T>
AbstractWaveletMatrix(vector<T> a) {
auto mx = empty(a) ? 0 : *max_element(begin(a), end(a));
height = mx == 0 ? 0 : __lg(mx) + 1;
n = size(a);
int block_count = (n >> LowBits) + 1;
bvecs_storage.resize(height * block_count);
bvecs.reserve(height);
vector<T> na(n);
D_data.reserve(height + 1);
D_data.emplace_back(D_build(a));
for (int k = height - 1; k >= 0; k--) {
bvecs.emplace_back(span(begin(bvecs_storage) + k * block_count, block_count), k, a, na);
swap(a, na);
D_data.emplace_back(D_build(a));
}
reverse(begin(bvecs), end(bvecs));
reverse(begin(D_data), end(D_data));
};
// returns the number of occurrence of x in a[l, r)
int rank(auto x, int l, int r) {
assert(0 <= l && l <= r && r <= n);
if (x >> height) return 0;
for (int k = height - 1; k >= 0; k--) {
bool bit = x >> k & 1;
l = bvecs[k].mv(bit, l);
r = bvecs[k].mv(bit, r);
}
return r - l;
}
int rangefreq_below(auto vr, int l, int r) {
assert(0 <= l && l <= r && r <= n);
if (vr <= 0) return 0;
if (vr >> height) return r - l;
int res = 0;
for (int k = height - 1; k >= 0; k--) {
bool bit = vr >> k & 1;
if (bit) {
int ones_r = bvecs[k].rank1(r), ones_l = bvecs[k].rank1(l);
res += (r - l) - (ones_r - ones_l);
l = bvecs[k].zeros + ones_l;
r = bvecs[k].zeros + ones_r;
} else {
l = bvecs[k].mv(bit, l);
r = bvecs[k].mv(bit, r);
}
}
return res;
}
// returns the number of occurrence of values in [vl, vr) in a[l, r)
int rangefreq(auto vl, auto vr, int l, int r) {
assert(vl <= vr);
return rangefreq_below(vr, l, r) - rangefreq_below(vl, l, r);
}
Q rangequery_below(auto vr, int l, int r) {
assert(0 <= l && l <= r && r <= n);
if (vr <= 0) return Q_e();
if (vr >> height) return D_query(D_data[height], l, r);
Q res = Q_e();
for (int k = height - 1; k >= 0; k--) {
bool bit = vr >> k & 1;
if (bit) {
int ones_r = bvecs[k].rank1(r), ones_l = bvecs[k].rank1(l);
res = Q_op(res, D_query(D_data[k], l - ones_l, r - ones_r));
l = bvecs[k].zeros + ones_l;
r = bvecs[k].zeros + ones_r;
} else {
l = bvecs[k].mv(bit, l);
r = bvecs[k].mv(bit, r);
}
}
return res;
}
// returns the maximum vr s.t. # of points in [l, r) * [vl, vr) <= cnt_ub
template <class T>
T max_upper(T vl, int l, int r, int cnt_ub, T res_for_inf) {
assert(0 <= l && l <= r && r <= n);
assert(cnt_ub >= 0);
assert(numeric_limits<T>::digits > height);
cnt_ub += rangefreq_below(vl, l, r);
if (cnt_ub >= r - l) return res_for_inf;
T res = 0;
for (int k = height - 1; k >= 0; k--) {
int ones_l = bvecs[k].rank1(l), ones_r = bvecs[k].rank1(r);
int zeros = (r - l) - (ones_r - ones_l);
if (zeros <= cnt_ub) {
cnt_ub -= zeros;
res += T(1) << k;
l = bvecs[k].zeros + ones_l;
r = bvecs[k].zeros + ones_r;
} else {
l = l - ones_l;
r = r - ones_r;
}
}
return res;
}
template <class T>
T min_lower(T vr, int l, int r, int cnt_ub) {
assert(0 <= l && l <= r && r <= n);
assert(cnt_ub >= 0);
assert(numeric_limits<T>::digits > height);
cnt_ub += (r - l) - rangefreq_below(vr, l, r);
if (cnt_ub >= r - l) return 0;
T res = T(1) << height;
for (int k = height - 1; k >= 0; k--) {
int ones_l = bvecs[k].rank1(l), ones_r = bvecs[k].rank1(r);
int ones = ones_r - ones_l;
if (ones <= cnt_ub) {
cnt_ub -= ones;
res -= T(1) << k;
l = l - ones_l;
r = r - ones_r;
} else {
l = bvecs[k].zeros + ones_l;
r = bvecs[k].zeros + ones_r;
}
}
return res;
}
};
} int main() {
ios::sync_with_stdio(false);
cin.tie(0);
int n, q;
cin >> n >> q;
VI a(n);
rep(i, n) cin >> a[i];
VI updcnt(n, 1);
vector<tuple<int, int, int, int, int>> qs(q);
for (auto& [t, l, r, a, b] : qs) {
cin >> t;
if (t == 1) {
cin >> l >> r;
l--;
updcnt[l]++;
} else {
cin >> l >> r >> a >> b;
l--;
}
}
VI starts(n + 1);
rep(i, n) starts[i+1] = starts[i] + updcnt[i];
VI vals(starts[n]);
rep(i, n) vals[starts[i]++] = a[i];
for (auto [t, l, r, a, b] : qs) if (t == 1) {
vals[starts[l]++] = r;
}
starts.pop_back();
starts.insert(starts.begin(), 1, 0);
struct D {
fenwick_tree<int> s0;
fenwick_tree<ll> s1;
};
struct Q {
int s0;
ll s1;
};
AbstractWaveletMatrix<D, [](const VI& a) {
int n = a.size();
return D{fenwick_tree<int>(n), fenwick_tree<ll>(n)};
}, Q, [](Q x, Q y) { return Q{x.s0 + y.s0, x.s1 + y.s1}; }, []() { return Q{0, 0}; }, [](D& ft, int l, int r) {
return Q{ft.s0.sum(l, r), ft.s1.sum(l, r)};
}> wm(vals);
auto add = [&](int i, int coeff) -> void {
int k = wm.height;
int val = vals[i];
while (true) {
wm.D_data[k].s0.add(i, coeff);
wm.D_data[k].s1.add(i, coeff * val);
if (k == 0) break;
k--;
i = wm.bvecs[k].mv(val >> k & 1, i);
}
};
rep(i, n) add(starts[i], 1);
for (auto [t, l, r, a, b] : qs) {
if (t == 1) {
add(starts[l], -1);
starts[l]++;
add(starts[l], 1);
} else {
Q qr = wm.rangequery_below(b, starts[l], starts[r]);
Q ql = wm.rangequery_below(a, starts[l], starts[r]);
ll ans = qr.s1 + ll(r - l - qr.s0) * b - ql.s1 + (ll)ql.s0 * a;
cout << ans << '\n';
}
}
}
Kude