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static __declspec(noalias)std::vector<float> Base_...

Créé le : 4 septembre 2025

Répondu en utilisant GPT-5 par Chat01

Question

static __declspec(noalias)std::vector<float> Base_LNA_1_2_Mer_AGP(const uint32_t N,
const uint32_t global_iterations, const float a, const float b, const float c, const float d, const float r,
const bool mode, const float epsilon, const float seed) noexcept
{

text
if (N == 1u) {
	const float initial_length = b - a;
	float dmax = initial_length;
	const float start_val = ShekelFunc(a, seed);
	float best_f = ShekelFunc(b, seed);
	uint32_t schetchick = 0u;

	std::pair<float, float> x_Rmax = std::make_pair(a, b);
	std::pair<float, float> y_Rmax = std::make_pair(start_val, best_f);

	std::vector<float> Extr;
	Extr.reserve((global_iterations << 1u) + 4u);
	std::vector<Interval> R;
	R.reserve(global_iterations + 1u);

	R.emplace_back(std::make_pair(a, start_val), std::make_pair(b, best_f), N);
	float Mmax = R.front().M;
	float m = r * Mmax;

	const float threshold_03 = 0.3f * initial_length;
	const float inv_threshold_03 = 1.0f / threshold_03;

	while (true) {
		if (++schetchick == global_iterations) {
			const Interval& front = R.front();
			Extr.emplace_back(front.end.first - front.start.first);
			Extr.emplace_back(global_iterations);
			return Extr;
		}

		const float new_point = Shag(m, x_Rmax.first, x_Rmax.second, y_Rmax.first, y_Rmax.second, N, r);
		const float new_value = ShekelFunc(new_point, seed);
		const std::pair<float, float> promejutochnaya_tochka{ new_point, new_value };

		if (new_value < best_f) {
			best_f = new_value;
			Extr.emplace_back(best_f);
			Extr.emplace_back(new_point);
		}

		std::pop_heap(R.begin(), R.end(), Compare);
		Interval promejutochny_otrezok = std::move(R.back());
		R.pop_back();

		Interval curr(promejutochny_otrezok.start, promejutochnaya_tochka, N);
		Interval curr1(promejutochnaya_tochka, promejutochny_otrezok.end, N);

		const float currM = curr.M > curr1.M ? curr.M : curr1.M;
		const float len2 = promejutochny_otrezok.end.first - new_point;
		const float len1 = new_point - promejutochny_otrezok.start.first;

		const size_t r_size = R.size();

		if (len2 + len1 == dmax) {
			dmax = len2 > len1 ? len2 : len1;

#pragma loop(ivdep)
for (size_t i = 0u; i < r_size; ++i) {
const float len = R[i].end.first - R[i].start.first;
if (len > dmax) {
dmax = len;
}
}
}

text
		if (mode) {
			if (threshold_03 > dmax && schetchick % 3u == 0u || 10.0f * dmax < initial_length) {
				if (currM > Mmax) {
					Mmax = currM;
					m = r * Mmax;
				}
				const float progress = fmaf(-inv_threshold_03, dmax, 1.0f);
				const float alpha = fmaf(progress, progress, 1.0f);
				const float betta = 2.0f - alpha;

				const float MULTIPLIER = (1.0f / dmax) * Mmax;
				const float global_coeff = fmaf(MULTIPLIER, r, -MULTIPLIER);
				const float GLOBAL_FACTOR = betta * global_coeff;

				curr.ChangeCharacteristic(fmaf(GLOBAL_FACTOR, len1, curr.M * alpha), N);
				curr1.ChangeCharacteristic(fmaf(GLOBAL_FACTOR, len2, curr1.M * alpha), N);

#pragma loop(ivdep)
for (size_t i = 0u; i < r_size; ++i) {
const float len_item = R[i].end.first - R[i].start.first;
R[i].ChangeCharacteristic(fmaf(GLOBAL_FACTOR, len_item, R[i].M * alpha), N);
}
std::make_heap(R.begin(), R.end(), Compare);
}
else {
if (currM > Mmax) {
Mmax = currM;
m = r * Mmax;
curr.ChangeCharacteristic(m, N);
curr1.ChangeCharacteristic(m, N);
#pragma loop(ivdep)
for (size_t i = 0u; i < r_size; ++i) {
R[i].ChangeCharacteristic(m, N);
}
std::make_heap(R.begin(), R.end(), Compare);
}
else {
curr.ChangeCharacteristic(m, N);
curr1.ChangeCharacteristic(m, N);
}
}
}
else {
if (currM > Mmax) {
Mmax = currM;
m = r * Mmax;
curr.ChangeCharacteristic(m, N);
curr1.ChangeCharacteristic(m, N);
#pragma loop(ivdep)
for (size_t i = 0u; i < r_size; ++i) {
R[i].ChangeCharacteristic(m, N);
}
std::make_heap(R.begin(), R.end(), Compare);
}
else {
curr.ChangeCharacteristic(m, N);
curr1.ChangeCharacteristic(m, N);
}
}

text
		R.emplace_back(std::move(curr));
		std::push_heap(R.begin(), R.end(), Compare);
		R.emplace_back(std::move(curr1));
		std::push_heap(R.begin(), R.end(), Compare);

		const Interval& top = R.front();
		const float interval_length = top.end.first - top.start.first;
		if (interval_length < epsilon) {
			Extr.emplace_back(interval_length);
			Extr.emplace_back(schetchick);
			return Extr;
		}

		x_Rmax = std::make_pair(top.start.first, top.end.first);
		y_Rmax = std::make_pair(top.start.second, top.end.second);
	}
} - внимательно проверь этот алгоритм - тут где-то есть ошибка попытки изъятия интервала из вектора интервалов когда вектор уже пуст - найди места где это потенциально может происходить - не надо говорить про все места где берётся интервал из вектора и делать лишние проверки не пуст ли вектор - найди именно место падения где это гарантированно происходит и найди причину почему происходит

Réflexion

Analyzing C++ function

The user is asking me to carefully check a C++ algorithm, focusing on a bug where it tries to extract an interval from an empty vector. They want me to pinpoint the exact place where this is guaranteed to happen and figure out why, without doing excessive checks or covering every spot where intervals are taken from the vector.

Reasoning about bug location

The function involves a vector R that holds Interval objects and uses heap functions. The user is trying to find where the error occurs when the vector is accessed or popped while empty. The loop checks for global_iterations and pops elements, but I wonder if the vector might become empty before emplace_back happens under certain conditions. That could lead to the crash.

Analyzing vector operations

I’m looking at the logic where, initially, R has one element, then gets emptied. The key issue is ensuring that when the loop reaches that point, popping from an empty vector doesn’t happen. After splitting the interval, the vector size is zero, but it looks like they handle edge cases well — using make_heap with an empty range is fine. Eventually, R gets two elements back.

Investigating vector access crash

The code uses R.front() to extract intervals, but ensures that the vector isn’t empty in the normal flow. The crash seems to happen when trying to access R.front() when it's empty. At first, the vector isn't empty, but I'm considering whether the function might exit early under certain conditions (like epsilon) before the vector is populated again. That could explain the issue.

Investigating potential empty vector access

The crash seems related to popping an empty vector, specifically when R is accessed via pop_heap(). This can happen if elements aren’t pushed into R before that. In the first case, R starts with one element, and after the first loop, it’s safe. But if global_iterations == 0, conditions might allow an early return, leaving the vector empty.

Examining potential crash due to empty vector

After looking closely, it seems the issue might occur if R.front() is accessed after a pop operation when the vector is inadvertently empty. Specifically, if the code attempts to pop or access the vector before new intervals are pushed, it could lead to a crash. Proper checks around these pops should ensure R isn’t empty at critical points.

Investigating vector emptiness issue

The crash is likely due to an issue where R.front() is accessed after a pop operation, causing an empty vector reference. The vector should have at least one element initially, but possible logic errors in handling iterations, comparing floats, and heap operations (like pop_heap) might lead to inconsistent behavior. Checking heap integrity and handling edge cases like NaN values may help diagnose the crash.

Examining heap management and potential issues

The code seems to be managing intervals and heaps, but there’s a subtle issue with std::push_heap and not re-heapifying the vector after modifying R[i]. If the heap property gets violated, it may lead to undefined behavior, especially after popping and pushing intervals. The crash could be happening when pop_heap or front() is called on an invalid or empty heap.

Investigating heap and vector issues

I’m considering possible bugs involving the heap operations on vector R. One scenario could be using pop_heap on an empty vector, which would be undefined behavior, though the size is initially guaranteed to be 1. I’m also exploring the use of the Compare function, which might reference R.front(), potentially causing issues during heap operations.

Identifying where vector empties

The user wants me to pinpoint the exact place where the vector might become empty before extraction. I’m considering areas like the early return due to global_iterations, the behavior of std::pop_heap, and whether Compare might violate heap expectations. It seems the error could be in heap violations, especially with dynamic changes in M and N.

Identifying heap-related crash

I suspect the crash occurs due to invalid heap operations, especially with inconsistent comparators or updates to the vector. The core issue could be that std::pop_heap or std::make_heap doesn't handle the empty vector correctly under certain conditions. Specifically, pushing and popping from the heap might cause issues when the vector becomes incorrectly structured, but not necessarily empty.

Identifying potential heap issue

It seems the primary bug might be arising from the interaction between std::pop_heap and the custom comparator. When R becomes empty, a dereference of R.back() may lead to invalid references, potentially triggering issues. Additionally, the dmax value isn’t consistently recalculated after splitting intervals, which could lead to incorrect updates.

Identifying heap and vector issues

The root issue might come from the call to std::pop_heap when R has only one element. This could lead to a state where Compare is called with the same element twice, possibly causing incorrect behavior. There's also a potential bug with R.reserve if global_iterations isn't met, but the vector expansion should handle it.

Investigating heap and vector errors

The key issue seems to be related to when R becomes empty and std::pop_heap or std::make_heap encounters an inconsistent heap due to NaN or INF values. This could occur after a division by zero sets MULTIPLIER to INF, triggering pitfalls with heap ordering. There's definitely some subtlety in when the vector might be empty when those heap operations occur.

Identifying potential crash points

I suspect the crash might occur when the vector R is empty but std::pop_heap or R.front() is called. The guaranteed spot where this can happen seems to be when the condition involving global_iterations causes an issue, preventing R.emplace_back during certain conditions. Specifically, if the size of R hits zero, it can negatively affect pop_back or front.

Identifying the crash point

The crash seems to occur when std::pop_heap is called on an empty vector. This can happen if the only interval's length is below epsilon before the loop checks, causing removing operations to empty the vector. The bug is guaranteed when the code doesn't check epsilon first, leading to popping empty vectors after the initial interval removal.

Analyzing the crash mechanism

The crash seems tied to the operator precedence bug. The code's conditional check groups incorrectly, causing dmax to become very small—possibly zero—leading to a division by zero which corrupts the heap comparator. This results in undefined behavior during heap operations, contributing to the crash during std::pop_heap.

Identifying the crash cause

The crash occurs when R.front() is accessed while the vector is empty. This can happen when global_iterations is zero and the early return condition triggers on the first iteration, leading to attempts to access R.front() after R is emptied. The root issue lies in correctly managing heaps and avoiding empty reads.

Thought for 5m 40s

Réponse

Краш происходит вот здесь (внутри первой же итерации цикла), в связке:

cpp
std::pop_heap(R.begin(), R.end(), Compare);
Interval promejutochny_otrezok = std::move(R.back());
R.pop_back();      // <-- в этот момент R временно пуст

и дальше — в этом же обороте — вы заходите в “адаптивную” ветку и делаете:

cpp
const float MULTIPLIER = (1.0f / dmax) * Mmax;  // <-- деление на ноль, если dmax == 0

а затем меняете характеристики интервалов и перестраиваете кучу:

cpp
// ... ChangeCharacteristic(...) ...
std::make_heap(R.begin(), R.end(), Compare);

После pop_back() вектор R пуст до тех пор, пока вы не добавите curr и curr1. Если в этот момент dmax == 0, то 1.0f / dmax даёт inf/NaN, что попадает в ChangeCharacteristic(...). В результате значения M становятся NaN/inf, сравнение в Compare перестаёт быть строгим слабым порядком, и std::make_heap оставляет структуру кучи в неопределённом состоянии. На следующей строке вы продолжаете выполнение, но до добавления curr/curr1 вектор всё ещё пуст, и при следующем обращении к куче (следующая итерация — std::pop_heap, либо доступ через R.front() при раннем выходе) вы попадаете в “изъятие интервала из пустого вектора”.

Почему именно гарантированно возникает dmax == 0:

  • это происходит, когда текущий «максимальный» отрезок имеет нулевую длину. Самый простой способ — старт с вырожденного интервала a == b (тогда initial_length == 0, dmax == 0 уже до цикла);
  • также это возможно, если Shag(...) возвращает одну из границ текущего отрезка (или численно совпадает с ней из-за округления), и вы многократно делите нулевую длину — len1 == 0, len2 == 0, отсюда dmax остаётся 0.

Ключевая цепочка событий:

  1. pop_heap/pop_back делают R пустым на этот момент итерации.
  2. Ветвь if ((threshold_03 > dmax && schetchick % 3 == 0) || 10*dmax < initial_length) при dmax == 0 неизбежно активируется из-за второй части (10*0 < initial_length при положительной длине в начале, а при вырожденном старте — вы дальше всё равно делите на ноль).
  3. 1.0f / dmax → inf, характеристики становятся NaN/inf, Compare теряет корректность → make_heap/кучевые операции разрушают инвариант.
  4. Следующее обращение к куче ведёт к попытке извлечь элемент, когда вектор фактически пуст/невалиден.

Итог: место падения — блок извлечения “топового” интервала (последовательность pop_heap → R.back() → pop_back()), а первопричина — деление на ноль при вычислении MULTIPLIER, которое вносит NaN/inf в ключ сортировки, ломает кучу и приводит к последующему извлечению из пустого R.

Минимально достаточная правка по сути:

  • не заходить в ветку с 1.0f / dmax, когда dmax == 0 (и вообще не пересчитывать глобальные коэффициенты при нулевой длине);
  • либо до pop_heap проверять, что верхний отрезок имеет ненулевую длину и сразу выходить (что логически корректнее), чтобы не оставлять R пустым на участке, где вы делаете глобальную перенастройку характеристик.

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