結果
| 問題 |
No.3266 岩井星人は見ずにはいられない
|
| コンテスト | |
| ユーザー |
 elphe
|
| 提出日時 | 2025-08-10 00:49:12 |
| 言語 | C++23 (gcc 13.3.0 + boost 1.87.0) |
| 結果 |
AC
|
| 実行時間 | 389 ms / 2,000 ms |
| コード長 | 30,476 bytes |
| コンパイル時間 | 4,001 ms |
| コンパイル使用メモリ | 299,924 KB |
| 実行使用メモリ | 131,936 KB |
| 最終ジャッジ日時 | 2025-08-10 00:49:23 |
| 合計ジャッジ時間 | 10,590 ms |
|
ジャッジサーバーID （参考情報） |
judge4 / judge2 |
（要ログイン）
| ファイルパターン | 結果 |
|---|---|
| sample | AC * 4 |
| other | AC * 31 |
コンパイルメッセージ
In member function ‘constexpr uint_fast32_t MyLib::MaxLazySegmentTree<T, Mapping, Composition, MaxPicker, default_value>::leftest_above(uint_fast32_t, uint_fast32_t, T) [with T = long unsigned int; Mapping = prepare(uint_fast32_t, const std::string&)::<lambda(uint_fast32_t, uint_fast32_t, uint_fast32_t)>; Composition = prepare(uint_fast32_t, const std::string&)::<lambda(uint_fast32_t, uint_fast32_t)>; MaxPicker = MyLib::<lambda(long unsigned int, long unsigned int)>; T default_value = 0]’,
inlined from ‘constexpr std::pair<std::vector<long unsigned int>, std::vector<long unsigned int> > prepare(uint_fast32_t, const std::string&)’ at main.cpp:600:51,
inlined from ‘constexpr uint_fast64_t solve(uint_fast32_t, uint_fast64_t, const std::string&)’ at main.cpp:617:36:
main.cpp:433:56: warning: ‘candidate_index’ may be used uninitialized [-Wmaybe-uninitialized]
433 | --cur_layer, cur_index <<= 1;
| ~~~~~~~~~~^~~~~
main.cpp: In function ‘constexpr uint_fast64_t solve(uint_fast32_t, uint_fast64_t, const std::string&)’:
main.cpp:371:82: note: ‘candidate_index’ was declared here
371 | uint_fast32_t candidate_layer = this->containers.size(), candidate_index;
| ^~~~~~~~~~~~~~~
ソースコード
#include <bits/stdc++.h>
namespace MyLib // 自作ライブラリ
{
template<typename T, class Picker, T default_value> class LiteralSegmentTree
{
protected:
std::vector<std::vector<T>> containers;
public:
constexpr LiteralSegmentTree(const std::vector<T>& initializer)
{
containers.clear();
if (initializer.size() == 0) return;
else if (initializer.size() == 1) { containers.emplace_back(1, initializer[0]); return; }
uint_fast32_t l = 0, r = 30;
while (l + 1 < r)
{
const auto c = (l + r) >> 1;
if (((uint_fast32_t)1 << c) < initializer.size())
l = c;
else
r = c;
}
containers.emplace_back((uint_fast32_t)1 << r);
uint_fast32_t i;
for (i = 0; i != initializer.size(); ++i)
containers[0][i] = initializer[i];
for (; i != ((uint_fast32_t)1 << r); ++i)
containers[0][i] = default_value;
for (--r; r != 0; --r)
{
containers.emplace_back((uint_fast32_t)1 << r);
for (i = 0; i != ((uint_fast32_t)1 << r); ++i)
containers[containers.size() - 1][i] = Picker()(containers[containers.size() - 2][i << 1], containers[containers.size() - 2][(i << 1) | 1]);
}
containers.emplace_back(1, Picker()(containers[containers.size() - 1][0], containers[containers.size() - 1][1]));
}
constexpr LiteralSegmentTree(std::vector<T>&& initializer)
{
containers.clear();
if (initializer.size() == 0) return;
uint_fast32_t l = 0, r = 30;
while (l + 1 < r)
{
const auto c = (l + r) >> 1;
if (((uint_fast32_t)1 << c) < initializer.size())
l = c;
else
r = c;
}
containers.emplace_back(std::move(initializer));
containers[0].resize((uint_fast32_t)1 << r, default_value);
uint_fast32_t i;
for (--r; r != 0; --r)
{
containers.emplace_back((uint_fast32_t)1 << r);
for (i = 0; i != ((uint_fast32_t)1 << r); ++i)
containers[containers.size() - 1][i] = Picker()(containers[containers.size() - 2][i << 1], containers[containers.size() - 2][(i << 1) | 1]);
}
containers.emplace_back(1, Picker()(containers[containers.size() - 1][0], containers[containers.size() - 1][1]));
}
constexpr LiteralSegmentTree(const uint_fast32_t n) : LiteralSegmentTree<T, Picker, default_value>(std::vector<T>(n, default_value)) { }
constexpr LiteralSegmentTree(const uint_fast32_t n, const T initial_value) : LiteralSegmentTree<T, Picker, default_value>(std::vector<T>(n, initial_value)) { }
constexpr T operator[](uint_fast32_t index) const noexcept { return containers[0][index]; }
constexpr uint_fast32_t size() const noexcept { return containers[0].size(); }
constexpr uint_fast32_t layer() const noexcept { return containers.size(); }
constexpr T update(uint_fast32_t index, const T value) noexcept
{
containers[0][index] = value;
index >>= 1;
for (uint_fast32_t i = 1; i != containers.size(); ++i, index >>= 1)
containers[i][index] = Picker()(containers[i - 1][index << 1], containers[i - 1][(index << 1) | 1]);
return value;
}
constexpr T range_pick_up(uint_fast32_t first_index, uint_fast32_t end_index) const noexcept
{
if (containers.size() == 0 || end_index > containers[0].size()) return default_value;
T ret_l = default_value, ret_r = default_value;
for (uint_fast32_t cur_layer = 0; first_index < end_index; first_index >>= 1, end_index >>= 1, ++cur_layer)
{
if (first_index & 1)
ret_l = Picker()(ret_l, containers[cur_layer][first_index]), ++first_index;
if (end_index & 1)
ret_r = Picker()(containers[cur_layer][end_index - 1], ret_r);
}
return Picker()(ret_l, ret_r);
}
};
template<typename T, class Mapping, class Composition, class Picker, T default_value>
class LiteralLazySegmentTree : public LiteralSegmentTree<T, Picker, default_value>
{
protected:
std::vector<std::vector<std::pair<bool, T>>> unevaluated;
constexpr void convey_evaluation(const uint_fast32_t cur_layer, const uint_fast32_t cur_index) noexcept
{
if (unevaluated[cur_layer - 1][cur_index << 1].first)
unevaluated[cur_layer - 1][cur_index << 1].second = Composition()(unevaluated[cur_layer - 1][cur_index << 1].second, unevaluated[cur_layer][cur_index].second);
else
unevaluated[cur_layer - 1][cur_index << 1] = { true, unevaluated[cur_layer][cur_index].second };
if (unevaluated[cur_layer - 1][(cur_index << 1) | 1].first)
unevaluated[cur_layer - 1][(cur_index << 1) | 1].second = Composition()(unevaluated[cur_layer - 1][(cur_index << 1) | 1].second, unevaluated[cur_layer][cur_index].second);
else
unevaluated[cur_layer - 1][(cur_index << 1) | 1] = { true, unevaluated[cur_layer][cur_index].second };
unevaluated[cur_layer][cur_index] = { false, default_value };
}
constexpr void execute_evaluation_above(const uint_fast32_t first_index, const uint_fast32_t end_index) noexcept
{
for (uint_fast32_t cur_layer = unevaluated.size() - 1; (first_index & (((uint_fast32_t)1 << cur_layer) - 1)) != 0; --cur_layer)
if (unevaluated[cur_layer][first_index >> cur_layer].first)
{
this->containers[cur_layer][first_index >> cur_layer] = Mapping()(this->containers[cur_layer][first_index >> cur_layer], unevaluated[cur_layer][first_index >> cur_layer].second, (uint_fast32_t)1 << cur_layer);
convey_evaluation(cur_layer, first_index >> cur_layer);
}
for (uint_fast32_t cur_layer = unevaluated.size() - 1; (end_index & (((uint_fast32_t)1 << cur_layer) - 1)) != 0; --cur_layer)
if (unevaluated[cur_layer][(end_index - 1) >> cur_layer].first)
{
this->containers[cur_layer][(end_index - 1) >> cur_layer] = Mapping()(this->containers[cur_layer][(end_index - 1) >> cur_layer], unevaluated[cur_layer][(end_index - 1) >> cur_layer].second, (uint_fast32_t)1 << cur_layer);
convey_evaluation(cur_layer, (end_index - 1) >> cur_layer);
}
}
public:
constexpr LiteralLazySegmentTree(const std::vector<T>& initializer) : LiteralSegmentTree<T, Picker, default_value>(initializer)
{
unevaluated.clear();
unevaluated.reserve(this->containers.size());
if (this->containers.size() == 0) return;
uint_fast32_t L = this->containers[0].size();
unevaluated.emplace_back(L, std::pair<bool, T>{ false, default_value });
for (L >>= 1; L != 0; L >>= 1)
unevaluated.emplace_back(L, std::pair<bool, T>{ false, default_value });
}
constexpr LiteralLazySegmentTree(std::vector<T>&& initializer) : LiteralSegmentTree<T, Picker, default_value>(std::move(initializer))
{
unevaluated.clear();
unevaluated.reserve(this->containers.size());
if (this->containers.size() == 0) return;
uint_fast32_t L = this->containers[0].size();
unevaluated.emplace_back(L, std::pair<bool, T>{ false, default_value });
for (L >>= 1; L != 0; L >>= 1)
unevaluated.emplace_back(L, std::pair<bool, T>{ false, default_value });
}
template<typename... Args> constexpr LiteralLazySegmentTree(const Args... args) : LiteralSegmentTree<T, Picker, default_value>(std::forward<Args>(args)...)
{
unevaluated.clear();
unevaluated.reserve(this->containers.size());
if (this->containers.size() == 0) return;
uint_fast32_t L = this->containers[0].size();
unevaluated.emplace_back(L, std::pair<bool, T>{ false, default_value });
for (L >>= 1; L != 0; L >>= 1)
unevaluated.emplace_back(L, std::pair<bool, T>{ false, default_value });
}
constexpr T operator[](uint_fast32_t index) noexcept { return range_pick_up(index, index + 1); }
constexpr void update(const uint_fast32_t first_index, const uint_fast32_t end_index, const T value) noexcept
{
if (first_index >= end_index) return;
execute_evaluation_above(first_index, end_index);
uint_fast32_t cur_layer, first_index_temp = first_index, end_index_temp = end_index;
for (cur_layer = 0; first_index_temp != end_index_temp; ++cur_layer, first_index_temp >>= 1, end_index_temp >>= 1)
{
if ((first_index_temp << cur_layer) != first_index)
{
if (unevaluated[cur_layer - 1][(first_index >> (cur_layer - 1)) ^ 1].first)
{
this->containers[cur_layer - 1][(first_index >> (cur_layer - 1)) ^ 1] = Mapping()(this->containers[cur_layer - 1][(first_index >> (cur_layer - 1)) ^ 1], unevaluated[cur_layer - 1][(first_index >> (cur_layer - 1)) ^ 1].second, (uint_fast32_t)1 << (cur_layer - 1));
if (cur_layer != 1) convey_evaluation(cur_layer - 1, (first_index >> (cur_layer - 1)) ^ 1);
else unevaluated[cur_layer - 1][(first_index >> (cur_layer - 1)) ^ 1] = { false, default_value };
}
this->containers[cur_layer][first_index >> cur_layer] = Picker()(this->containers[cur_layer - 1][first_index >> (cur_layer - 1)], this->containers[cur_layer - 1][(first_index >> (cur_layer - 1)) ^ 1]);
}
if ((end_index_temp << cur_layer) != end_index)
{
if (unevaluated[cur_layer - 1][((end_index - 1) >> (cur_layer - 1)) ^ 1].first)
{
this->containers[cur_layer - 1][((end_index - 1) >> (cur_layer - 1)) ^ 1] = Mapping()(this->containers[cur_layer - 1][((end_index - 1) >> (cur_layer - 1)) ^ 1], unevaluated[cur_layer - 1][((end_index - 1) >> (cur_layer - 1)) ^ 1].second, (uint_fast32_t)1 << (cur_layer - 1));
if (cur_layer != 1) convey_evaluation(cur_layer - 1, ((end_index - 1) >> (cur_layer - 1)) ^ 1);
else unevaluated[cur_layer - 1][((end_index - 1) >> (cur_layer - 1)) ^ 1] = { false, default_value };
}
this->containers[cur_layer][(end_index - 1) >> cur_layer] = Picker()(this->containers[cur_layer - 1][(end_index - 1) >> (cur_layer - 1)], this->containers[cur_layer - 1][((end_index - 1) >> (cur_layer - 1)) ^ 1]);
}
if (first_index_temp & 1)
{
if (unevaluated[cur_layer][first_index_temp].first)
unevaluated[cur_layer][first_index_temp].second = Composition()(unevaluated[cur_layer][first_index_temp].second, value);
else
unevaluated[cur_layer][first_index_temp] = { true, value };
this->containers[cur_layer][first_index_temp] = Mapping()(this->containers[cur_layer][first_index_temp], unevaluated[cur_layer][first_index_temp].second, (uint_fast32_t)1 << cur_layer);
if (cur_layer != 0) convey_evaluation(cur_layer, first_index_temp);
else unevaluated[cur_layer][first_index_temp] = { false, default_value };
++first_index_temp;
}
if (end_index_temp & 1)
{
if (unevaluated[cur_layer][end_index_temp - 1].first)
unevaluated[cur_layer][end_index_temp - 1].second = Composition()(unevaluated[cur_layer][end_index_temp - 1].second, value);
else
unevaluated[cur_layer][end_index_temp - 1] = { true, value };
this->containers[cur_layer][end_index_temp - 1] = Mapping()(this->containers[cur_layer][end_index_temp - 1], unevaluated[cur_layer][end_index_temp - 1].second, (uint_fast32_t)1 << cur_layer);
if (cur_layer != 0) convey_evaluation(cur_layer, end_index_temp - 1);
else unevaluated[cur_layer][end_index_temp - 1] = { false, default_value };
//--end_index_temp;
}
}
for (; cur_layer != unevaluated.size(); ++cur_layer, first_index_temp >>= 1, end_index_temp >>= 1)
{
if ((first_index_temp << cur_layer) != first_index)
{
if (unevaluated[cur_layer - 1][(first_index >> (cur_layer - 1)) ^ 1].first)
{
this->containers[cur_layer - 1][(first_index >> (cur_layer - 1)) ^ 1] = Mapping()(this->containers[cur_layer - 1][(first_index >> (cur_layer - 1)) ^ 1], unevaluated[cur_layer - 1][(first_index >> (cur_layer - 1)) ^ 1].second, (uint_fast32_t)1 << (cur_layer - 1));
if (cur_layer != 1) convey_evaluation(cur_layer - 1, (first_index >> (cur_layer - 1)) ^ 1);
else unevaluated[cur_layer - 1][(first_index >> (cur_layer - 1)) ^ 1] = { false, default_value };
}
this->containers[cur_layer][first_index >> cur_layer] = Picker()(this->containers[cur_layer - 1][first_index >> (cur_layer - 1)], this->containers[cur_layer - 1][(first_index >> (cur_layer - 1)) ^ 1]);
}
if ((end_index_temp << cur_layer) != end_index)
{
if (unevaluated[cur_layer - 1][((end_index - 1) >> (cur_layer - 1)) ^ 1].first)
{
this->containers[cur_layer - 1][((end_index - 1) >> (cur_layer - 1)) ^ 1] = Mapping()(this->containers[cur_layer - 1][((end_index - 1) >> (cur_layer - 1)) ^ 1], unevaluated[cur_layer - 1][((end_index - 1) >> (cur_layer - 1)) ^ 1].second, (uint_fast32_t)1 << (cur_layer - 1));
if (cur_layer != 1) convey_evaluation(cur_layer - 1, ((end_index - 1) >> (cur_layer - 1)) ^ 1);
else unevaluated[cur_layer - 1][((end_index - 1) >> (cur_layer - 1)) ^ 1] = { false, default_value };
}
this->containers[cur_layer][(end_index - 1) >> cur_layer] = Picker()(this->containers[cur_layer - 1][(end_index - 1) >> (cur_layer - 1)], this->containers[cur_layer - 1][((end_index - 1) >> (cur_layer - 1)) ^ 1]);
}
}
}
constexpr T range_pick_up(const uint_fast32_t first_index, const uint_fast32_t end_index) noexcept
{
if (first_index >= end_index) return default_value;
execute_evaluation_above(first_index, end_index);
T ret_l = default_value, ret_r = default_value;
uint_fast32_t cur_layer, first_index_temp = first_index, end_index_temp = end_index;
for (cur_layer = 0; first_index_temp != end_index_temp; ++cur_layer, first_index_temp >>= 1, end_index_temp >>= 1)
{
if ((first_index_temp << cur_layer) != first_index)
{
if (unevaluated[cur_layer - 1][(first_index >> (cur_layer - 1)) ^ 1].first)
{
this->containers[cur_layer - 1][(first_index >> (cur_layer - 1)) ^ 1] = Mapping()(this->containers[cur_layer - 1][(first_index >> (cur_layer - 1)) ^ 1], unevaluated[cur_layer - 1][(first_index >> (cur_layer - 1)) ^ 1].second, (uint_fast32_t)1 << (cur_layer - 1));
if (cur_layer != 1) convey_evaluation(cur_layer - 1, (first_index >> (cur_layer - 1)) ^ 1);
else unevaluated[cur_layer - 1][(first_index >> (cur_layer - 1)) ^ 1] = { false, default_value };
}
this->containers[cur_layer][first_index >> cur_layer] = Picker()(this->containers[cur_layer - 1][first_index >> (cur_layer - 1)], this->containers[cur_layer - 1][(first_index >> (cur_layer - 1)) ^ 1]);
}
if ((end_index_temp << cur_layer) != end_index)
{
if (unevaluated[cur_layer - 1][((end_index - 1) >> (cur_layer - 1)) ^ 1].first)
{
this->containers[cur_layer - 1][((end_index - 1) >> (cur_layer - 1)) ^ 1] = Mapping()(this->containers[cur_layer - 1][((end_index - 1) >> (cur_layer - 1)) ^ 1], unevaluated[cur_layer - 1][((end_index - 1) >> (cur_layer - 1)) ^ 1].second, (uint_fast32_t)1 << (cur_layer - 1));
if (cur_layer != 1) convey_evaluation(cur_layer - 1, ((end_index - 1) >> (cur_layer - 1)) ^ 1);
else unevaluated[cur_layer - 1][((end_index - 1) >> (cur_layer - 1)) ^ 1] = { false, default_value };
}
this->containers[cur_layer][(end_index - 1) >> cur_layer] = Picker()(this->containers[cur_layer - 1][(end_index - 1) >> (cur_layer - 1)], this->containers[cur_layer - 1][((end_index - 1) >> (cur_layer - 1)) ^ 1]);
}
if (first_index_temp & 1)
{
if (unevaluated[cur_layer][first_index_temp].first)
{
this->containers[cur_layer][first_index_temp] = Mapping()(this->containers[cur_layer][first_index_temp], unevaluated[cur_layer][first_index_temp].second, (uint_fast32_t)1 << cur_layer);
if (cur_layer != 0) convey_evaluation(cur_layer, first_index_temp);
else unevaluated[cur_layer][first_index_temp] = { false, default_value };
}
ret_l = Picker()(ret_l, this->containers[cur_layer][first_index_temp]);
++first_index_temp;
}
if (end_index_temp & 1)
{
if (unevaluated[cur_layer][end_index_temp - 1].first)
{
this->containers[cur_layer][end_index_temp - 1] = Mapping()(this->containers[cur_layer][end_index_temp - 1], unevaluated[cur_layer][end_index_temp - 1].second, (uint_fast32_t)1 << cur_layer);
if (cur_layer != 0) convey_evaluation(cur_layer, end_index_temp - 1);
else unevaluated[cur_layer][end_index_temp - 1] = { false, default_value };
}
ret_r = Picker()(this->containers[cur_layer][end_index_temp - 1], ret_r);
//--end_index_temp;
}
}
for (; cur_layer != unevaluated.size(); ++cur_layer, first_index_temp >>= 1, end_index_temp >>= 1)
{
if ((first_index_temp << cur_layer) != first_index)
{
if (unevaluated[cur_layer - 1][(first_index >> (cur_layer - 1)) ^ 1].first)
{
this->containers[cur_layer - 1][(first_index >> (cur_layer - 1)) ^ 1] = Mapping()(this->containers[cur_layer - 1][(first_index >> (cur_layer - 1)) ^ 1], unevaluated[cur_layer - 1][(first_index >> (cur_layer - 1)) ^ 1].second, (uint_fast32_t)1 << (cur_layer - 1));
if (cur_layer != 1) convey_evaluation(cur_layer - 1, (first_index >> (cur_layer - 1)) ^ 1);
else unevaluated[cur_layer - 1][(first_index >> (cur_layer - 1)) ^ 1] = { false, default_value };
}
this->containers[cur_layer][first_index >> cur_layer] = Picker()(this->containers[cur_layer - 1][first_index >> (cur_layer - 1)], this->containers[cur_layer - 1][(first_index >> (cur_layer - 1)) ^ 1]);
}
if ((end_index_temp << cur_layer) != end_index)
{
if (unevaluated[cur_layer - 1][((end_index - 1) >> (cur_layer - 1)) ^ 1].first)
{
this->containers[cur_layer - 1][((end_index - 1) >> (cur_layer - 1)) ^ 1] = Mapping()(this->containers[cur_layer - 1][((end_index - 1) >> (cur_layer - 1)) ^ 1], unevaluated[cur_layer - 1][((end_index - 1) >> (cur_layer - 1)) ^ 1].second, (uint_fast32_t)1 << (cur_layer - 1));
if (cur_layer != 1) convey_evaluation(cur_layer - 1, ((end_index - 1) >> (cur_layer - 1)) ^ 1);
else unevaluated[cur_layer - 1][((end_index - 1) >> (cur_layer - 1)) ^ 1] = { false, default_value };
}
this->containers[cur_layer][(end_index - 1) >> cur_layer] = Picker()(this->containers[cur_layer - 1][(end_index - 1) >> (cur_layer - 1)], this->containers[cur_layer - 1][((end_index - 1) >> (cur_layer - 1)) ^ 1]);
}
}
return Picker()(ret_l, ret_r);
}
};
template<typename T> using DefaultMaxPicker = decltype([](const T a, const T b) { return std::max<T>(a, b); });
template<typename T, class Mapping, class Composition, class MaxPicker, T default_value = std::numeric_limits<T>::lowest()>
class MaxLazySegmentTree : public LiteralLazySegmentTree<T, Mapping, Composition, MaxPicker, default_value>
{
public:
constexpr MaxLazySegmentTree(const std::vector<T>& initializer) : LiteralLazySegmentTree<T, Mapping, Composition, MaxPicker, default_value>(initializer) { }
constexpr MaxLazySegmentTree(std::vector<T>&& initializer) : LiteralLazySegmentTree<T, Mapping, Composition, MaxPicker, default_value>(std::move(initializer)) { }
template<typename... Args> constexpr MaxLazySegmentTree(Args... args) : LiteralLazySegmentTree<T, Mapping, Composition, MaxPicker, default_value>(std::forward<Args>(args)...) { }
constexpr uint_fast32_t leftest_above(const uint_fast32_t first, const uint_fast32_t last, const T limit) noexcept
{
if (this->containers.size() == 0) return 0;
if (first >= last) return this->containers[0].size();
uint_fast32_t cur_layer, cur_index;
uint_fast32_t candidate_layer = this->containers.size(), candidate_index;
uint_fast32_t first_temp = first, last_temp = last;
LiteralLazySegmentTree<T, Mapping, Composition, MaxPicker, default_value>::execute_evaluation_above(first, last);
if (first & 1)
{
if (this->unevaluated[0][first].first)
{
this->containers[0][first] = Mapping()(this->containers[0][first], this->unevaluated[0][first].second, 1);
this->unevaluated[0][first] = { false, default_value };
}
if (this->containers[0][first] >= limit)
return first;
++first_temp;
}
if (last & 1)
{
if (this->unevaluated[0][last - 1].first)
{
this->containers[0][last - 1] = Mapping()(this->containers[0][last - 1], this->unevaluated[0][last - 1].second, 1);
this->unevaluated[0][last - 1] = { false, default_value };
}
if (this->containers[0][last - 1] >= limit)
candidate_layer = 0, candidate_index = last - 1;
//--last_temp;
}
for (cur_layer = 1, first_temp >>= 1, last_temp >>= 1; first_temp != last_temp; ++cur_layer, first_temp >>= 1, last_temp >>= 1)
{
if (first_temp & 1)
{
if (this->unevaluated[cur_layer][first_temp].first)
{
this->containers[cur_layer][first_temp] = Mapping()(this->containers[cur_layer][first_temp], this->unevaluated[cur_layer][first_temp].second, (uint_fast32_t)1 << cur_layer);
LiteralLazySegmentTree<T, Mapping, Composition, MaxPicker, default_value>::convey_evaluation(cur_layer, first_temp);
}
if (this->containers[cur_layer][first_temp] >= limit)
break;
++first_temp;
}
if (last_temp & 1)
{
if (this->unevaluated[cur_layer][last_temp - 1].first)
{
this->containers[cur_layer][last_temp - 1] = Mapping()(this->containers[cur_layer][last_temp - 1], this->unevaluated[cur_layer][last_temp - 1].second, (uint_fast32_t)1 << cur_layer);
LiteralLazySegmentTree<T, Mapping, Composition, MaxPicker, default_value>::convey_evaluation(cur_layer, last_temp - 1);
}
if (this->containers[cur_layer][last_temp - 1] >= limit)
candidate_layer = cur_layer, candidate_index = last_temp - 1;
//--last_temp;
}
}
if (first_temp != last_temp) cur_index = first_temp;
else if (candidate_layer == this->containers.size()) return this->containers[0].size();
else cur_layer = candidate_layer, cur_index = candidate_index;
while (cur_layer > 1)
{
--cur_layer, cur_index <<= 1;
if (this->unevaluated[cur_layer][cur_index].first)
{
this->containers[cur_layer][cur_index] = Mapping()(this->containers[cur_layer][cur_index], this->unevaluated[cur_layer][cur_index].second, (uint_fast32_t)1 << cur_layer);
LiteralLazySegmentTree<T, Mapping, Composition, MaxPicker, default_value>::convey_evaluation(cur_layer, cur_index);
}
if (this->containers[cur_layer][cur_index] < limit)
{
cur_index |= 1;
if (this->unevaluated[cur_layer][cur_index].first)
{
this->containers[cur_layer][cur_index] = Mapping()(this->containers[cur_layer][cur_index], this->unevaluated[cur_layer][cur_index].second, (uint_fast32_t)1 << cur_layer);
LiteralLazySegmentTree<T, Mapping, Composition, MaxPicker, default_value>::convey_evaluation(cur_layer, cur_index);
}
}
}
if (cur_layer == 1)
{
cur_index <<= 1;
if (this->unevaluated[0][cur_index].first)
{
this->containers[0][cur_index] = Mapping()(this->containers[0][cur_index], this->unevaluated[0][cur_index].second, 1);
this->unevaluated[0][cur_index] = { false, default_value };
}
if (this->containers[0][cur_index] < limit)
{
cur_index |= 1;
if (this->unevaluated[0][cur_index].first)
{
this->containers[0][cur_index] = Mapping()(this->containers[0][cur_index], this->unevaluated[0][cur_index].second, 1);
this->unevaluated[0][cur_index] = { false, default_value };
}
}
}
return cur_index;
}
constexpr uint_fast32_t rightest_above(const uint_fast32_t first, const uint_fast32_t last, const T limit) noexcept
{
if (this->containers.size() == 0) return 0;
if (first >= last) return this->containers[0].size();
uint_fast32_t cur_layer, cur_index;
uint_fast32_t candidate_layer = this->containers.size(), candidate_index;
uint_fast32_t first_temp = first, last_temp = last;
LiteralLazySegmentTree<T, Mapping, Composition, MaxPicker, default_value>::execute_evaluation_above(first, last);
if (last & 1)
{
if (this->unevaluated[0][last - 1].first)
{
this->containers[0][last - 1] = Mapping()(this->containers[0][last - 1], this->unevaluated[0][last - 1].second, 1);
this->unevaluated[0][last - 1] = { false, default_value };
}
if (this->containers[0][last - 1] >= limit)
return last - 1;
//--last_temp;
}
if (first & 1)
{
if (this->unevaluated[0][first].first)
{
this->containers[0][first] = Mapping()(this->containers[0][first], this->unevaluated[0][first].second, 1);
this->unevaluated[0][first] = { false, default_value };
}
if (this->containers[0][first] >= limit)
candidate_layer = 0, candidate_index = first;
++first_temp;
}
for (cur_layer = 1, first_temp >>= 1, last_temp >>= 1; first_temp != last_temp; ++cur_layer, first_temp >>= 1, last_temp >>= 1)
{
if (last_temp & 1)
{
if (this->unevaluated[cur_layer][last_temp - 1].first)
{
this->containers[cur_layer][last_temp - 1] = Mapping()(this->containers[cur_layer][last_temp - 1], this->unevaluated[cur_layer][last_temp - 1].second, (uint_fast32_t)1 << cur_layer);
LiteralLazySegmentTree<T, Mapping, Composition, MaxPicker, default_value>::convey_evaluation(cur_layer, last_temp - 1);
}
if (this->containers[cur_layer][last_temp - 1] >= limit)
break;
//--last_temp;
}
if (first_temp & 1)
{
if (this->unevaluated[cur_layer][first_temp].first)
{
this->containers[cur_layer][first_temp] = Mapping()(this->containers[cur_layer][first_temp], this->unevaluated[cur_layer][first_temp].second, (uint_fast32_t)1 << cur_layer);
LiteralLazySegmentTree<T, Mapping, Composition, MaxPicker, default_value>::convey_evaluation(cur_layer, first_temp);
}
if (this->containers[cur_layer][first_temp] >= limit)
candidate_layer = cur_layer, candidate_index = first_temp;
++first_temp;
}
}
if (first_temp != last_temp) cur_index = last_temp - 1;
else if (candidate_layer == this->containers.size()) return this->containers[0].size();
else cur_layer = candidate_layer, cur_index = candidate_index;
while (cur_layer > 1)
{
--cur_layer, cur_index <<= 1;
if (this->unevaluated[cur_layer][cur_index | 1].first)
{
this->containers[cur_layer][cur_index | 1] = Mapping()(this->containers[cur_layer][cur_index | 1], this->unevaluated[cur_layer][cur_index | 1].second, (uint_fast32_t)1 << cur_layer);
LiteralLazySegmentTree<T, Mapping, Composition, MaxPicker, default_value>::convey_evaluation(cur_layer, cur_index | 1);
}
if (this->containers[cur_layer][cur_index | 1] >= limit)
cur_index |= 1;
else if (this->unevaluated[cur_layer][cur_index].first)
{
this->containers[cur_layer][cur_index] = Mapping()(this->containers[cur_layer][cur_index], this->unevaluated[cur_layer][cur_index].second, (uint_fast32_t)1 << cur_layer);
LiteralLazySegmentTree<T, Mapping, Composition, MaxPicker, default_value>::convey_evaluation(cur_layer, cur_index);
}
}
if (cur_layer == 1)
{
cur_index <<= 1;
if (this->unevaluated[0][cur_index | 1].first)
{
this->containers[0][cur_index | 1] = Mapping()(this->containers[0][cur_index | 1], this->unevaluated[0][cur_index | 1].second, 1);
this->unevaluated[0][cur_index | 1] = { false, default_value };
}
if (this->containers[0][cur_index | 1] >= limit)
cur_index |= 1;
else if (this->unevaluated[0][cur_index].first)
{
this->containers[0][cur_index] = Mapping()(this->containers[0][cur_index], this->unevaluated[0][cur_index].second, 1);
this->unevaluated[0][cur_index] = { false, default_value };
}
}
return cur_index;
}
};
}
// レーティング 1200 までいくつ足りないかが「状態」になる
// 各状態に S' を 1 回作用させたときの、次の状態とその間の AC 回数を求める
// 区間加算をしたいので、遅延セグメント木を使用
static inline constexpr std::pair<std::vector<uint_fast32_t>, std::vector<uint_fast64_t>> prepare(const uint_fast32_t N, const std::string& _S) noexcept
{
std::vector<uint_fast32_t> next(N + 1), count(N + 1, 0);
std::iota(next.begin(), next.end(), 0); // next = { 0, 1, 2, ... }
using Mapping = decltype([](const uint_fast32_t target, const uint_fast32_t operation, const uint_fast32_t length) { return target + operation; });
using Composition = decltype([](const uint_fast32_t target, const uint_fast32_t operation) { return target + operation; });
MyLib::MaxLazySegmentTree<uint_fast32_t, Mapping, Composition, MyLib::DefaultMaxPicker<uint_fast32_t>, 0> mlst_next(std::move(next)), mlst_count(std::move(count));
for (uint_fast32_t i = 0; i != N; ++i)
{
if (_S[i] == '0')
mlst_next.update(0, N + 1, 1);
else
{
const uint_fast32_t l = mlst_next.leftest_above(0, N + 1, 1);
mlst_next.update(l, N + 1, UINT_FAST32_MAX), mlst_count.update(l, N + 1, 1);
}
}
std::vector<uint_fast32_t> next_out(N + 1);
std::vector<uint_fast64_t> count_out(N + 1);
for (uint_fast32_t i = 0; i != N + 1; ++i)
next_out[i] = std::min(mlst_next[i], N), count_out[i] = mlst_count[i];
return std::make_pair(std::move(next_out), std::move(count_out));
}
// 各状態から次の状態への遷移を functional graph とみなして、ダブリングでいい感じにまとめる
// 残りは普通にシミュレーション
static inline constexpr uint_fast64_t solve(const uint_fast32_t N, const uint_fast64_t A, const std::string& _S) noexcept
{
auto [next, count] = prepare(N, _S);
std::array<std::vector<uint_fast32_t>, 40> doubling_next = { std::vector<uint_fast32_t>(std::move(next)), };
std::array<std::vector<uint_fast64_t>, 40> doubling_count = { std::vector<uint_fast64_t>(std::move(count)), };
for (uint_fast32_t i = 1; i != 40; ++i)
{
doubling_next[i].resize(N + 1), doubling_count[i].resize(N + 1);
for (uint_fast32_t j = 0; j != N + 1; ++j)
doubling_next[i][j] = doubling_next[i - 1][doubling_next[i - 1][j]], doubling_count[i][j] = doubling_count[i - 1][j] + doubling_count[i - 1][doubling_next[i - 1][j]];
}
uint_fast64_t ans_cycle = 0, AC_count = 0, cur_state = 0;
for (uint_fast32_t i = 39; i != UINT_FAST32_MAX; --i)
if (AC_count + doubling_count[i][cur_state] < A)
AC_count += doubling_count[i][cur_state], cur_state = doubling_next[i][cur_state], ans_cycle |= UINT64_C(1) << i;
uint_fast32_t i;
for (i = 0; AC_count != A; ++i)
{
if (_S[i] == '0')
++cur_state;
else if (cur_state != 0)
--cur_state, ++AC_count;
}
return ans_cycle * N + i;
}
int main()
{
std::cin.tie(nullptr);
std::ios::sync_with_stdio(false);
uint_fast32_t N;
uint_fast64_t A;
std::string _S;
std::cin >> N >> A;
_S.reserve(N), std::cin >> _S;
std::cout << solve(N, A, _S) << '\n';
return 0;
}