This documentation is automatically generated by competitive-verifier/competitive-verifier
#include "lib/data_structure/linear_sparse_table.hpp"#pragma once
#include <array>
#include <bit>
#include <cassert>
#include <cstdint>
#include <vector>
#include "data_structure/sparse_table.hpp"
namespace internal {
template <class T, int N>
struct fixed_stack {
constexpr fixed_stack() : _size(), _data() {}
constexpr T top() const { return _data[_size - 1]; }
constexpr bool empty() const { return _size == 0; }
constexpr int size() const { return _size; }
constexpr void emplace(const T &e) { _data[_size++] = e; }
constexpr void emplace(T &&e) { _data[_size++] = e; }
constexpr void pop() { --_size; }
constexpr void clear() { _size = 0; }
private:
int _size;
std::array<T, N> _data;
};
} // namespace internal
/// @brief 線形 Sparse Table
template <class M>
struct linear_sparse_table {
private:
using T = M::value_type;
static constexpr int W = 64;
public:
linear_sparse_table() = default;
linear_sparse_table(const std::vector<T> &v) : _size(v.size()), data(v) {
int n = v.size();
int b = n / W;
internal::fixed_stack<int, W + 1> st;
std::vector<T> u(b);
word_data.resize(b + (n > b * W));
for (int i = 0; i < b; ++i) {
T m = M::id();
std::uint64_t bit = 0;
std::vector<std::uint64_t> bits(W);
for (int j = 0; j < W; ++j) {
m = M::op(m, v[i * W + j]);
while (!st.empty() && M::op(v[i * W + st.top()], v[i * W + j]) == v[i * W + j]) {
bit ^= std::uint64_t(1) << st.top();
st.pop();
}
bits[j] = bit;
bit |= std::uint64_t(1) << j;
st.emplace(j);
}
u[i] = m;
word_data[i] = bits;
st.clear();
}
if (n > b * W) {
std::uint64_t bit = 0;
std::vector<std::uint64_t> bits(n - b * W);
for (int j = 0; j < n - b * W; ++j) {
while (!st.empty() && M::op(v[b * W + st.top()], v[b * W + j]) == v[b * W + j]) {
bit ^= std::uint64_t(1) << st.top();
st.pop();
}
bits[j] = bit;
bit |= std::uint64_t(1) << j;
st.emplace(j);
}
word_data[b] = bits;
}
block_table = sparse_table<M>(u);
}
const T &operator[](int k) const { return data[k]; }
T prod(int l, int r) const {
assert(0 <= l && l <= r && r <= _size);
if (l == r) return M::id();
int lb = (l + W - 1) / W, rb = r / W;
if (lb > rb) return word_prod(l, r);
T res = (lb == rb ? M::id() : block_table.prod(lb, rb));
if (l < lb * W) res = M::op(res, word_prod(l, lb * W));
if (rb * W < r) res = M::op(res, word_prod(rb * W, r));
return res;
}
private:
int _size;
std::vector<T> data;
sparse_table<M> block_table;
std::vector<std::vector<std::uint64_t>> word_data;
T word_prod(int l, int r) const {
if (l == r) return M::id();
int b = l / W;
int lw = l - b * W, rw = r - b * W;
if ((word_data[b][rw - 1] >> lw) == 0ul) return data[r - 1];
return data[l + std::countr_zero(word_data[b][rw - 1] >> lw)];
}
};
Traceback (most recent call last):
File "/home/runner/.local/lib/python3.12/site-packages/competitive_verifier/oj/resolver.py", line 291, in resolve
bundled_code = language.bundle(path, basedir=basedir)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/runner/.local/lib/python3.12/site-packages/competitive_verifier/oj/verify/languages/cplusplus.py", line 242, in bundle
bundler.update(path)
File "/home/runner/.local/lib/python3.12/site-packages/competitive_verifier/oj/verify/languages/cplusplus_bundle.py", line 479, in update
self._resolve(pathlib.Path(included), included_from=path)
File "/home/runner/.local/lib/python3.12/site-packages/competitive_verifier/oj/verify/languages/cplusplus_bundle.py", line 286, in _resolve
raise BundleErrorAt(path, -1, "no such header")
competitive_verifier.oj.verify.languages.cplusplus_bundle.BundleErrorAt: data_structure/sparse_table.hpp: line -1: no such header