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#include "../../../../../template/template.hpp"
#define PROBLEM "https://judge.yosupo.jp/problem/rectangle_sum"
#include "../../../../../data-structure/wavelet-matrix/rectangle/RectangleSum.hpp"
int main() {
cin.tie(0)->sync_with_stdio(0);
int n, q;
in(n, q);
vector<int> x(n), y(n);
vector<lint> w(n);
rep(i, n) {
in(x[i], y[i], w[i]);
}
RectangleSum<int, lint> wm(x, y, w);
rep(i, q) {
int l, d, r, u;
in(l, d, r, u);
out(wm.rectangle_sum(l, r, d, u));
}
}
#line 2 "template/template.hpp"
#pragma region Macros
#include <bits/stdc++.h>
using namespace std;
using lint = long long;
using ull = unsigned long long;
using ld = long double;
using int128 = __int128_t;
#define all(x) (x).begin(), (x).end()
#define uniqv(v) v.erase(unique(all(v)), v.end())
#define OVERLOAD_REP(_1, _2, _3, name, ...) name
#define REP1(i, n) for (auto i = std::decay_t<decltype(n)>{}; (i) != (n); ++(i))
#define REP2(i, l, r) for (auto i = (l); (i) != (r); ++(i))
#define rep(...) OVERLOAD_REP(__VA_ARGS__, REP2, REP1)(__VA_ARGS__)
#define logfixed(x) cout << fixed << setprecision(10) << x << endl;
ostream &operator<<(ostream &dest, __int128_t value) {
ostream::sentry s(dest);
if (s) {
__uint128_t tmp = value < 0 ? -value : value;
char buffer[128];
char *d = end(buffer);
do {
--d;
*d = "0123456789"[tmp % 10];
tmp /= 10;
} while (tmp != 0);
if (value < 0) {
--d;
*d = '-';
}
int len = end(buffer) - d;
if (dest.rdbuf()->sputn(d, len) != len) {
dest.setstate(ios_base::badbit);
}
}
return dest;
}
template <typename T>
ostream &operator<<(ostream &os, const vector<T> &v) {
for (int i = 0; i < (int)v.size(); i++) {
os << v[i] << (i + 1 != (int)v.size() ? " " : "");
}
return os;
}
template <typename T>
ostream &operator<<(ostream &os, const set<T> &set_var) {
for (auto itr = set_var.begin(); itr != set_var.end(); itr++) {
os << *itr;
++itr;
if (itr != set_var.end()) os << " ";
itr--;
}
return os;
}
template <typename T>
ostream &operator<<(ostream &os, const unordered_set<T> &set_var) {
for (auto itr = set_var.begin(); itr != set_var.end(); itr++) {
os << *itr;
++itr;
if (itr != set_var.end()) os << " ";
itr--;
}
return os;
}
template <typename T, typename U>
ostream &operator<<(ostream &os, const map<T, U> &map_var) {
for (auto itr = map_var.begin(); itr != map_var.end(); itr++) {
os << itr->first << " -> " << itr->second << "\n";
}
return os;
}
template <typename T, typename U>
ostream &operator<<(ostream &os, const unordered_map<T, U> &map_var) {
for (auto itr = map_var.begin(); itr != map_var.end(); itr++) {
os << itr->first << " -> " << itr->second << "\n";
}
return os;
}
template <typename T, typename U>
ostream &operator<<(ostream &os, const pair<T, U> &pair_var) {
os << pair_var.first << " " << pair_var.second;
return os;
}
void out() { cout << '\n'; }
template <class T, class... Ts>
void out(const T &a, const Ts &...b) {
cout << a;
(cout << ... << (cout << ' ', b));
cout << '\n';
}
void outf() { cout << '\n'; }
template <class T, class... Ts>
void outf(const T &a, const Ts &...b) {
cout << fixed << setprecision(14) << a;
(cout << ... << (cout << ' ', b));
cout << '\n';
}
template <typename T>
istream &operator>>(istream &is, vector<T> &v) {
for (T &in : v) is >> in;
return is;
}
inline void in(void) { return; }
template <typename First, typename... Rest>
void in(First &first, Rest &...rest) {
cin >> first;
in(rest...);
return;
}
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;
}
vector<lint> dx8 = {1, 1, 0, -1, -1, -1, 0, 1};
vector<lint> dy8 = {0, 1, 1, 1, 0, -1, -1, -1};
vector<lint> dx4 = {1, 0, -1, 0};
vector<lint> dy4 = {0, 1, 0, -1};
#pragma endregion
#line 2 "verify/LibraryChecker/data-structure/wavelet-matrix/rectangle/RectangleSum.test.cpp"
#define PROBLEM "https://judge.yosupo.jp/problem/rectangle_sum"
#line 1 "data-structure/wavelet-matrix/WaveletMatrixTemplateSum.hpp"
template <class T>
struct BitVector {
unsigned sz;
unsigned blocksize;
vector<unsigned long long> bit;
vector<unsigned> sum;
vector<T> srsum;
BitVector() {}
BitVector(unsigned siz) {
sz = siz;
blocksize = (sz + 63) >> 6;
bit.assign(blocksize, 0ULL);
sum.assign(blocksize, 0U);
srsum.assign(sz, 0);
}
inline void set(int k) { bit[k >> 6] |= 1ULL << (k & 63ULL); }
inline void build() {
sum[0] = 0ULL;
for (int i = 1; i < blocksize; i++) {
sum[i] = sum[i - 1] + __builtin_popcountll(bit[i - 1]);
}
}
inline bool access(unsigned k) {
return (bool((bit[k >> 6] >> (k & 63)) & 1));
}
inline int rank(int k) {
return (sum[k >> 6] + __builtin_popcountll(bit[k >> 6] & ((1ULL << (k & 63)) - 1)));
}
inline void srsum_set(vector<T> &v) {
for (int i = 0; i < sz - 1; i++) {
srsum[i + 1] = srsum[i] + v[i];
}
}
inline T rank_srsum(int l, int r) {
return srsum[r] - srsum[l];
}
inline T rank_srsum(int r) {
return srsum[r];
}
};
template <class T, class S>
class WaveletMatrix {
private:
unsigned n;
unsigned bitsize;
vector<BitVector<S>> b;
vector<unsigned> zero;
vector<T> cmp;
T MI, MA;
inline unsigned compress(const T &x) {
return lower_bound(cmp.begin(), cmp.end(), x) - begin(cmp);
}
public:
// コンストラクタ
WaveletMatrix() {}
WaveletMatrix(vector<T> v) {
MI = numeric_limits<T>::min();
MA = numeric_limits<T>::max();
n = v.size();
cmp = v;
sort(cmp.begin(), cmp.end());
cmp.erase(unique(cmp.begin(), cmp.end()), cmp.end());
vector<T> tmp(n);
vector<T> tmpc(n);
vector<T> compressed(n);
for (unsigned i = 0; i < n; i++) {
compressed[i] = distance(cmp.begin(), lower_bound(cmp.begin(), cmp.end(), v[i]));
}
bitsize = bit_width(cmp.size());
b.resize(bitsize + 1);
zero.resize(bitsize, 0);
int cur = 0;
for (unsigned i = 0; i < bitsize; i++) {
b[i] = BitVector<T>(n + 1);
b[i].srsum_set(v);
cur = 0;
for (unsigned j = 0; j < n; j++) {
if (compressed[j] & (1U << (bitsize - i - 1))) {
b[i].set(j);
} else {
zero[i]++;
tmpc[cur] = compressed[j];
tmp[cur] = v[j];
cur++;
}
}
b[i].build();
for (int j = 0; j < n; j++) {
if (compressed[j] & (1U << (bitsize - i - 1))) {
tmpc[cur] = compressed[j];
tmp[cur] = v[j];
cur++;
}
}
swap(tmpc, compressed);
swap(tmp, v);
}
b[bitsize] = BitVector<T>(n + 1);
b[bitsize].srsum_set(v);
}
WaveletMatrix(vector<T> v, vector<S> w) {
MI = numeric_limits<T>::min();
MA = numeric_limits<T>::max();
n = v.size();
cmp = v;
sort(cmp.begin(), cmp.end());
cmp.erase(unique(cmp.begin(), cmp.end()), cmp.end());
vector<S> tmp(n);
vector<T> tmpc(n);
vector<T> compressed(n);
for (unsigned i = 0; i < n; i++) {
compressed[i] = distance(cmp.begin(), lower_bound(cmp.begin(), cmp.end(), v[i]));
}
bitsize = bit_width(cmp.size());
b.resize(bitsize + 1);
zero.resize(bitsize, 0);
int cur = 0;
for (unsigned i = 0; i < bitsize; i++) {
b[i] = BitVector<S>(n + 1);
b[i].srsum_set(w);
cur = 0;
for (unsigned j = 0; j < n; j++) {
if (compressed[j] & (1U << (bitsize - i - 1))) {
b[i].set(j);
} else {
zero[i]++;
tmpc[cur] = compressed[j];
tmp[cur] = w[j];
cur++;
}
}
b[i].build();
for (int j = 0; j < n; j++) {
if (compressed[j] & (1U << (bitsize - i - 1))) {
tmpc[cur] = compressed[j];
tmp[cur] = w[j];
cur++;
}
}
swap(tmpc, compressed);
swap(tmp, w);
}
b[bitsize] = BitVector<S>(n + 1);
b[bitsize].srsum_set(w);
}
// v[l,r) の中でk番目(1-origin)に小さい値を返す
T kth_smallest(unsigned l, unsigned r, unsigned k) {
unsigned res = 0;
for (unsigned i = 0; i < bitsize; i++) {
unsigned num1 = b[i].rank(r) - b[i].rank(l);
unsigned num0 = r - l - num1;
if (num0 < k) {
res |= (1ULL << (bitsize - i - 1));
l = zero[i] + b[i].rank(l);
r = zero[i] + b[i].rank(r);
k -= num0;
} else {
l -= b[i].rank(l);
r -= b[i].rank(r);
}
}
return cmp[res];
}
// v[l,r) の中でk番目(1-origin)に大きい値を返す
T kth_largest(unsigned l, unsigned r, unsigned k) {
return kth_smallest(l, r, r - l - k + 1);
}
// v[l,r]を昇順ソートした時の先頭k個の総和を返す
S kth_ascending_sum(unsigned l, unsigned r, unsigned k) {
S res = 0;
unsigned val = 0;
for (unsigned i = 0; i < bitsize; i++) {
const unsigned rank1_l = b[i].rank(l);
const unsigned rank1_r = b[i].rank(r);
const unsigned rank0_l = l - rank1_l;
const unsigned rank0_r = r - rank1_r;
const unsigned num1 = rank1_r - rank1_l;
const unsigned num0 = rank0_r - rank0_l;
if (num0 < k) {
val |= (1ULL << (bitsize - i - 1));
res += b[i + 1].rank_srsum(rank0_r) - b[i + 1].rank_srsum(rank0_l);
l = zero[i] + rank1_l;
r = zero[i] + rank1_r;
k -= num0;
} else {
l = rank0_l;
r = rank0_r;
}
}
res += int64_t(cmp[val]) * (k);
return res;
}
// v[l,r]を降順ソートした時の先頭k個の総和を返す
S kth_descending_sum(unsigned l, unsigned r, unsigned k) {
return range_sum(l, r, MI, MA) - kth_ascending_sum(l, r, r - l - k);
}
// v[l,r) の中で[mink,maxk)に入る値の個数を返す
unsigned range_freq(int vl, int vr, T mink, T maxk) {
int D = compress(mink);
int U = compress(maxk);
unsigned res = 0;
auto dfs = [&](auto &rec, int d, int L, int R, int A, int B) -> void {
if (U <= A or B <= D) return;
if (D <= A and B <= U) {
res += (R - L);
return;
}
if (d == bitsize) {
if (D <= A and A < U) {
res += (R - L);
}
return;
}
int C = (A + B) / 2;
int rank0_l = L - b[d].rank(L);
int rank0_r = R - b[d].rank(R);
int rank1_l = b[d].rank(L) + zero[d];
int rank1_r = b[d].rank(R) + zero[d];
rec(rec, d + 1, rank0_l, rank0_r, A, C);
rec(rec, d + 1, rank1_l, rank1_r, C, B);
};
dfs(dfs, 0, vl, vr, 0, 1 << bitsize);
return res;
}
// v[l,r) の中で[mink,maxk)に入る値の総和を返す
S range_sum(int vl, int vr, T mink, T maxk) {
int D = compress(mink);
int U = compress(maxk);
S res = 0;
auto dfs = [&](auto &rec, int d, int L, int R, int A, int B) -> void {
if (U <= A or B <= D) return;
if (D <= A and B <= U) {
res = res + b[d].rank_srsum(L, R);
return;
}
if (d == bitsize) {
if (D <= A and A < U) {
res = res + b[d].rank_srsum(L, R);
}
return;
}
int C = (A + B) / 2;
int rank0_l = L - b[d].rank(L);
int rank0_r = R - b[d].rank(R);
int rank1_l = b[d].rank(L) + zero[d];
int rank1_r = b[d].rank(R) + zero[d];
rec(rec, d + 1, rank0_l, rank0_r, A, C);
rec(rec, d + 1, rank1_l, rank1_r, C, B);
};
dfs(dfs, 0, vl, vr, 0, 1 << bitsize);
return res;
}
// v[l,r) の中で ∑|v[i]-d| を計算して返す
S range_abs(unsigned l, unsigned r, T d) {
int dnum = range_freq(l, r, d, d + 1);
S dsum = d * dnum;
S asum = range_sum(l, r, MI, MA);
int less = range_freq(l, r, MI, d);
S less_sum = range_sum(l, r, MI, d);
int more = r - l - dnum - less;
S more_sum = asum - dsum - less_sum;
return d * less + more_sum - less_sum - (d * more);
}
// v[l,r)の中でvalを超えない最大の値を返す
T prev_value(unsigned l, unsigned r, T val) {
int num = range_freq(l, r, MI, val);
if (num == 0) {
return MA;
} else {
return kth_smallest(l, r, num);
}
}
// v[l,r)の中でval以上の最小の値を返す
T next_value(unsigned l, unsigned r, T val) {
int num = range_freq(l, r, MI, val);
if (num == r - l) {
return MI;
} else {
return kth_smallest(l, r, num + 1);
}
}
};
#line 2 "data-structure/wavelet-matrix/rectangle/RectangleSum.hpp"
template <class T, class S>
class RectangleSum {
private:
WaveletMatrix<T, S> wm;
vector<T> px;
public:
RectangleSum() {}
RectangleSum(vector<T> x, vector<T> y, vector<S> w) {
int n = int(x.size());
vector<tuple<T, T, S>> v(n);
for (int i = 0; i < n; i++) v[i] = {x[i], y[i], w[i]};
sort(v.begin(), v.end(), [](const auto &a, const auto &b) {
return get<0>(a) < get<0>(b);
});
px.resize(n);
for (int i = 0; i < n; i++) {
px[i] = get<0>(v[i]);
y[i] = get<1>(v[i]);
w[i] = get<2>(v[i]);
}
wm = WaveletMatrix<T, S>(y, w);
}
S rectangle_sum(T xl, T xr, T yl, T yr) {
int l = distance(px.begin(), lower_bound(px.begin(), px.end(), xl));
int r = distance(px.begin(), lower_bound(px.begin(), px.end(), xr));
return wm.range_sum(l, r, yl, yr);
}
};
#line 4 "verify/LibraryChecker/data-structure/wavelet-matrix/rectangle/RectangleSum.test.cpp"
int main() {
cin.tie(0)->sync_with_stdio(0);
int n, q;
in(n, q);
vector<int> x(n), y(n);
vector<lint> w(n);
rep(i, n) {
in(x[i], y[i], w[i]);
}
RectangleSum<int, lint> wm(x, y, w);
rep(i, q) {
int l, d, r, u;
in(l, d, r, u);
out(wm.rectangle_sum(l, r, d, u));
}
}