Respan Dataset Explorer

Select one behavior. Every returned turn has one binary label: Present or Absent. Source: final dense boolean release.

5,167,182physical rows
86shards
0.00%qualified row coverage
0.00%qualified cell coverage
Random row JSON API

turns-00051.parquet:8939

ba7bce7267de9f465ed7809c
turn 6/9gpt-4o-2024-08-06RussianRussia262 words
degenerate_repetitionAbsentFinal dense release
USER
Server: 91.122.224.102:3478, Distance: 34.22
Server: 81.162.64.162:3478, Distance: 40.55
Server: 193.28.184.4:3478, Distance: 43.11
Server: 185.88.7.40:3478, Distance: 43.27
Server: 81.25.228.2:3478, Distance: 43.50

Distance это что?
ASSISTANT
В текущей реализации `Distance` — это евклидово расстояние в координатном пространстве широты и долготы между вашим текущим местоположением и местоположением каждого сервера. Это значение не имеет прямой интерпретации в километрах или других единицах измерения длины. Оно показывает относительное расстояние между точками на плоскости широты и долготы.

### Подробное объяснение евклидова расстояния:

1. **Евклидово расстояние** рассчитывается как корень из суммы квадратов разностей широт и долгот между двумя точками:
   \[
   \text{Distance} = \sqrt{(\text{latitude}_1 - \text{latitude}_2)^2 + (\text{longitude}_1 - \text{longitude}_2)^2}
   \]

2. **Единицы измерения**:
   - Это просто мера "прямой линии" между двумя точками на двумерной плоскости, связанной с координатами широты и долготы.
   - Поскольку Земля сферическая, простое использование разностей координат в градусах не переводится прямо в метры или километры.

### Переведение в километры:

Для того чтобы перевести расстояние между географическими точками в километры, можно воспользоваться формулой Хаверсин (Haversine formula), которая учитывает кривизну Земли:

```python
import math

def haversine(lat1, lon1, lat2, lon2):
    R = 6371  # Радиус Земли в километрах
    phi1 = math.radians(lat1)
    phi2 = math.radians(lat2)
    delta_phi = math.radians(lat2 - lat1)
    delta_lambda = math.radians(lon2 - lon1)
    
    a = math.sin(delta_phi / 2) ** 2 + math.cos(phi1) * math.cos(phi2) * math.sin(delta_lambda / 2) ** 2
    c = 2 * math.atan2(math.sqrt(a), math.sqrt(1 - a))
    
    return R * c

# Применить функцию haversine в вашем коде вместо calculate_distance
addresses = [
    (addr, haversine(
        latitude,
        longitude,
        float(geo_locs.get(addr.split(':')[0], [0, 0])[0]),
        float(geo_locs.get(addr.split(':')[0], [0, 0])[1])
    ))
    for addr in requests.get(IPV4_URL).text.strip().split('\n')
]
```

Это позволит вам выводить расстояние ближайших серверов в километрах.

turns-00051.parquet:8940

045f625a5f3543eae17b5744
turn 7/9gpt-4o-2024-08-06RussianRussia274 words
degenerate_repetitionAbsentFinal dense release
USER
выведи код который выдает близжайший сервер, а также расстояние в км до всех серверов
ASSISTANT
Конечно! Вот обновленный код, который будет вычислять расстояние до каждого сервера в километрах и выводить сервер с минимальным расстоянием:

```python
import requests
import math

GEO_LOC_URL = "https://raw.githubusercontent.com/pradt2/always-online-stun/master/geoip_cache.txt"
IPV4_URL = "https://raw.githubusercontent.com/pradt2/always-online-stun/master/valid_ipv4s.txt"
GEO_USER_URL = "https://geolocation-db.com/json/"

# Получаем данные о геолокации стран из файла
geo_locs = requests.get(GEO_LOC_URL).json()

# Получаем текущую геопозицию пользователя
geo_user_data = requests.get(GEO_USER_URL).json()
latitude = geo_user_data['latitude']
longitude = geo_user_data['longitude']

# Функция для вычисления расстояния с использованием формулы haversine
def haversine(lat1, lon1, lat2, lon2):
    R = 6371  # Радиус Земли в километрах
    phi1 = math.radians(lat1)
    phi2 = math.radians(lat2)
    delta_phi = math.radians(lat2 - lat1)
    delta_lambda = math.radians(lon2 - lon1)
    
    a = math.sin(delta_phi / 2) ** 2 + math.cos(phi1) * math.cos(phi2) * math.sin(delta_lambda / 2) ** 2
    c = 2 * math.atan2(math.sqrt(a), math.sqrt(1 - a))
    
    return R * c

# Список серверов и их расстояний
addresses = [
    (addr, haversine(
        latitude,
        longitude,
        float(geo_locs.get(addr.split(':')[0], [0, 0])[0]),
        float(geo_locs.get(addr.split(':')[0], [0, 0])[1])
    ))
    for addr in requests.get(IPV4_URL).text.strip().split('\n')
]

# Сортируем адреса по расстоянию
addresses.sort(key=lambda x: x[1])

# Вывод ближайшего сервера
closest_server = addresses[0]
print(f"Closest Server: {closest_server[0]}, Distance: {closest_server[1]:.2f} km")

# Вывод всех серверов и их расстояний
print("\nAll Servers and their Distances:")
for addr, distance in addresses:
    print(f"Server: {addr}, Distance: {distance:.2f} km")
```

### Пояснения:

- **Формула Haversine** используется для точного вычисления расстояния между двумя точками на поверхности Земли, учитывая её сферическую форму.
- **Сортировка списка серверов** по расстоянию и затем выбор ближайшего.
- **Вывод всех серверов** и их расстояний в километрах, где ближайший сервер сначала отмечается отдельно. 

Этот код позволяет найти, какой сервер STUN находится ближе всего к вашему текущему местоположению, с точки зрения географического расстояния в километрах.

turns-00051.parquet:8941

dc1ab45f1ef22ca084db5912
turn 8/9gpt-4o-2024-08-06RussianRussia308 words
degenerate_repetitionAbsentFinal dense release
USER
я нашел stun сервер. 195.209.116.72:3478 зная его адрес и порт, я могу как то его использовать?
ASSISTANT
Да, зная адрес STUN-сервера и его порт, вы можете использовать его для выполнения задач, связанных с Traversal Using Relays around NAT (TURN) или Session Traversal Utilities for NAT (STUN) в ваших сетевых приложениях. Основные задачи, которые решаются с помощью STUN, включают определение внешнего IP-адреса и порта клиента за NAT, а также облегчение процесса пробивания стен (hole punching) для прямых соединений между клиентами через NAT.

### Как использовать STUN-сервер

Для непосредственного использования STUN-сервера, как правило, требуется клиентская библиотека или приложение, поддерживающее работу с STUN. Here's an example of how to use a STUN server via a library in Python:

#### Использование библиотеки `pystun`

`pystun` — это популярная библиотека для Python, которая может взаимодействовать со STUN-серверами.

1. **Установка библиотеки:**

   ```bash
   pip install pystun3
   ```

2. **Пример использования:**

   ```python
   import stun

   # Тестирование, какой NAT используется, и получение внешнего IP-адреса и порта
   nat_type, external_ip, external_port = stun.get_ip_info('195.209.116.72', 3478)
   
   print(f"NAT Type: {nat_type}")
   print(f"External IP: {external_ip}")
   print(f"External Port: {external_port}")
   ```

### Пояснения:

- **`stun.get_ip_info`**: Эта функция взаимодействует с STUN-сервером, чтобы выяснить тип NAT и внешний IP-адрес и порт.

- **Тип NAT**: Эта информация полезна для понимания, каким образом NAT преобразует данные. Обратите внимание, что не все типы NAT поддерживают прямую связь между клиентами (например, кардинальный NAT часто блокирует прямые соединения).

- **Внешний IP и порт**: Позволяют определить, как ваш клиент видит остальная часть сети. Это может быть полезно для настройки сервисов и приложений на основе сети.

### Области применения STUN:

- **ВебRTC**: STUN используется для определения IP-адреса клиента и порта в сетевых приложениях, требующих передачи аудио и видео.

- **P2P приложения**: Используется для определения, как взаимодействовать с внешними клиентами через NAT.

Важно помнить, что использование STUN помогает в установке соединений, но не гарантирует надежности или безопасности связи. Для защиты данных и контроля доступа могут понадобиться дополнительные меры.

turns-00051.parquet:8942

48293429a459dcd3a3d62871
turn 9/9gpt-4o-2024-08-06RussianRussia260 words
degenerate_repetitionAbsentFinal dense release
USER
C:\Users\Egor\PycharmProjects\shaIP_01\venv\Scripts\python.exe C:/Users/Egor/PycharmProjects/shaIP_01/stun_test.py
Traceback (most recent call last):
  File "C:\Users\Egor\PycharmProjects\shaIP_01\stun_test.py", line 4, in <module>
    nat_type, external_ip, external_port = stun.get_ip_info('195.209.116.72', 3478)
  File "C:\Users\Egor\PycharmProjects\shaIP_01\venv\lib\site-packages\stun\__init__.py", line 251, in get_ip_info
    s.bind((source_ip, source_port))
OSError: [WinError 10049] Требуемый адрес для своего контекста неверен

Process finished with exit code 1
ASSISTANT
Ошибка `[WinError 10049] Требуемый адрес для своего контекста неверен` возникает, когда программа пытается привязаться к неверному или недоступному IP-адресу на вашем компьютере. В контексте использования библиотеки `pystun3`, причиной может быть попытка привязаться к IP-адресу, который не доступен на локальной машине.

### Возможные решения:

1. **Используйте правильный исходящий IP-адрес**: Убедитесь, что `source_ip`, который используется в функции `get_ip_info`, является корректным локальным IP-адресом, доступным на вашем компьютере. Обычно это означает использование '0.0.0.0', чтобы указать, что привязка должна происходить на всех доступных интерфейсах.

2. **Используйте порт по умолчанию**: Если определённый порт не нужен, можно оставить его `None` или указать `0`, чтобы операционная система назначила любой свободный порт.

### Исправленный пример кода:

Попробуйте следующий подход, чтобы избежать ошибки, используя «нулевой» IP и порт:

```python
import stun

# Попробуйте оставить source_ip и source_port по умолчанию (None)
nat_type, external_ip, external_port = stun.get_ip_info(stun_host='195.209.116.72', stun_port=3478, source_ip='0.0.0.0', source_port=0)

print(f"NAT Type: {nat_type}")
print(f"External IP: {external_ip}")
print(f"External Port: {external_port}")
```

### Дополнительные проверки:

- Убедитесь, что брандмауэр или антивирусное ПО на вашем компьютере не блокируют соединения с внешними серверами.
- Возможно, задействованы другие сетевые настройки или политики, которые могут препятствовать работе `stun`.
- Проверьте, есть ли подключение к интернету, и попробуйте соединиться через разные сетевые интерфейсы (например, Wi-Fi или кабельное соединение).

Эти изменения должны помочь настроить правильно параметры для вашего сетевого окружения, чтобы в результате получить успешное соединение с STUN-сервером.

turns-00051.parquet:8943

1b4bb083211f92a412218295
turn 1/1gpt-4o-2024-08-06EnglishUnited States959 words
degenerate_repetitionAbsentFinal dense release
USER
System: You are an expert Named Entity Recognition (NER) system. Label all identifiable entities, abstract concepts, and meaningful ideas in the provided input text, emphasizing relevance to the financial domain.

Ensure the following:
Label All Meaningful Entities: Identify every meaningful entity related to financial analysis, economic dynamics, or market contexts.
Define New Concepts as Needed: Introduce and define entity types for abstract financial concepts or industry-specific terms not typically found in standard NER tasks.
Provide an Exhaustive Entity List: Include every relevant label mentioned in the input text.

Answer in the following format:
<entity from the text> | <entity concept> | <description of entity group/concept>,
<entity from the text> | <entity concept> | <description of entity group/concept>,
...

Here is an Example : 
Input: 
Lawmakers continue to try to police social media use among teens — but Meta, parent company to Facebook, Instagram, and Threads, is pushing another group of companies to do the security work. Meta is expected to announce a proposal on Nov. 15 that will push for tech giants like Google and Apple to carry a bigger burden in keeping teenagers off of potentially harmful platforms. Meta's vision is that these companies, which manage app stores such as the Apple App Store and Google Play Store, require parental approval for teenagers aged 13 to 15 to download applications, according to a report by The Washington Post.

Output:
Lawmakers | Regulatory agents | Individuals or groups responsible for creating and enacting laws, often influencing economic and regulatory environments.  
social media | Digital Channel | Online media channels for content sharing and user interaction, particularly influential in advertising and consumer engagement.
Meta | Company | Parent company of Facebook, Instagram, and Threads, involved in social media and technology sectors.  
Facebook | Company | Social media platform owned by Meta, significant player in digital advertising and social media markets.  
Instagram | Company | Photo and video sharing social media platform owned by Meta, influential in marketing and consumer engagement.  
Threads | Company | Social media platform owned by Meta, contributing to the digital communication landscape.  
Nov. 15 | Date | Specific date relevant for financial or regulatory announcements, potentially impacting market perceptions. 
tech giants | Major Companies | Entities that hold substantial market power in the technology sector. 
Google | Company | Technology company known for its search engine and digital services, significant in advertising and app distribution.  
Apple | Company | Technology company known for its hardware and software products, influential in consumer technology and app distribution.  
bigger burden | Operational Challenge | heightened difficulties or obstacles impacting a company’s operations, often resulting in resource strain or inefficiencies.
Apple App Store | Platform | Digital distribution platform for applications on Apple devices, relevant for app market dynamics.  
Google Play Store | Platform | Digital distribution platform for applications on Android devices, important for app market dynamics.  
Parental approval | Concept | Regulatory measure proposed to manage access to applications by minors, impacting technology and social media usage.  
The Washington Post | Newspaper | News outlet providing reports and analysis, influential in shaping public opinion and regulatory discourse.
User: If you wanted a job with Microsoft at the height of the personal computer revolution, you only needed to display two qualities — at least, that's what Microsoft co-founder Bill Gates told NBC's "Today" show in 1989. Gates, who was then just 33 years old and still CEO of the tech giant, told NBC's Jane Pauley that job candidates' age and experience were less important than their enthusiasm for work and their belief in making computers more accessible for the average person. "Well, we'll hire people at any age as long as they're super energetic and they want to make personal computers easier to use," Gates says before admitting that most new Microsoft employees were on the younger side. "But, we end up hiring mostly people right out
Assistant:
ASSISTANT
Microsoft | Company | Technology company known for its software and hardware products, a major player in the personal computer revolution.
personal computer revolution | Historical Event | A period marked by the rapid adoption and spread of personal computers, significantly altering business and consumer technology landscapes.
Bill Gates | Person | Co-founder and former CEO of Microsoft, influential figure in the technology and business sectors.
NBC | Broadcasting Network | Major American television network, provider of news and business updates relevant to financial markets.
"Today" show | Television Program | Popular morning show on NBC, known for interviews and discussion of current events and trends.
1989 | Date | A specific year highlighting an era of significant technological and business developments.
CEO | Position | Chief Executive Officer, the highest-ranking executive in a company, responsible for overall management and decision-making.
Jane Pauley | Person | Television journalist and host known for interviewing prominent figures in various sectors.
job candidates | Employment Concept | Individuals seeking employment opportunities, often evaluated on skills and potential impact on company goals.
age and experience | Employment Criteria | Factors often considered in hiring, although downplayed by Gates in favor of different qualities.
enthusiasm for work | Employment Trait | A quality valued by employers signifying energy and passion in the workplace, important for company growth.
belief in making computers more accessible | Innovative Concept | An idea emphasizing technology's role in broadening user engagement and simplifying digital experiences, crucial in expanding market reach.
super energetic | Employment Trait | A descriptor of candidates sought by Microsoft, indicating a high level of vitality and motivation.
average person | Demographic Concept | Refers to general consumers, significant in understanding market needs and product accessibility.
younger side | Demographic Characteristic | Indicative of the age range typically associated with new hires at Microsoft during the referenced era.

turns-00051.parquet:8944

9f5a4b2c73a90f049967428a
turn 1/1o1-mini-2024-09-12EnglishRussia1475 words
degenerate_repetitionAbsentFinal dense release
USER
Что за ошибка при выполнении скрипта и как ее исправить?
Вот ошибка:
Error: Worksheet name already exists: Найдено предупреждений в Sitema
    at set name [as name] (/Users/bokkdanil/Projects/SEO/Seo-Report-Generator/node_modules/exceljs/lib/doc/worksheet.js:170:13)
    at file:///Users/bokkdanil/Projects/SEO/Seo-Report-Generator/work_with_docs/modifyExcel.js:105:32
    at runNextTicks (node:internal/process/task_queues:60:5)
    at process.processImmediate (node:internal/timers:449:9)

Вот скрипт:
import ExcelJS from "exceljs";
import XLSX from "xlsx";
import fs from "fs";
import path from "path";
import config from "./config.js"; 
import renameMappings from "./renameMappings.js";

/**
 * Функция для безопасного создания уникального имени листа.
 * Ограничивает длину до 31 символа и добавляет суффикс, если необходимо.
 */
const generateSafeSheetName = (desiredName, existingNames) => {
    const maxLength = 31;
    let safeName = desiredName.length > maxLength ? desiredName.substring(0, maxLength) : desiredName;
    let uniqueName = safeName;
    let counter = 1;

    while (existingNames.has(uniqueName)) {
        const suffix = `_${counter}`;
        // Убедимся, что итоговая длина не превышает 31 символ
        const truncatedLength = maxLength - suffix.length;
        uniqueName = (desiredName.length > truncatedLength ? desiredName.substring(0, truncatedLength) : desiredName) + suffix;
        counter++;
    }

    existingNames.add(uniqueName);
    return uniqueName;
};

// Функция для конвертации .xls в ExcelJS workbook с динамическим названием листа
const convertXlsToExcelJSWorkbook = async (inputPath, sheetName, existingNames) => {
    const workbookXLS = XLSX.readFile(inputPath);
    const worksheetXLS = workbookXLS.Sheets[workbookXLS.SheetNames[0]];
    const worksheetData = XLSX.utils.sheet_to_json(worksheetXLS, { header: 1 });

    const exceljsWorkbook = new ExcelJS.Workbook();
    const safeSheetName = generateSafeSheetName(sheetName, existingNames);
    const worksheet = exceljsWorkbook.addWorksheet(safeSheetName); // Название листа безопасно

    worksheetData.forEach((row, rowIndex) => {
        const newRow = worksheet.addRow(row);
        if (rowIndex === 0) {
            newRow.font = { bold: true };
        }
    });

    return exceljsWorkbook;
};

// Функция для удаления указанных столбцов
const removeColumns = (worksheet, columnsToRemove) => {
    const headerRow = worksheet.getRow(1);
    const columnsToDeleteIndices = [];

    headerRow.eachCell((cell, colNumber) => {
        if (columnsToRemove.includes(cell.value)) {
            columnsToDeleteIndices.push(colNumber);
        }
    });

    columnsToDeleteIndices.sort((a, b) => b - a).forEach(colNumber => {
        worksheet.spliceColumns(colNumber, 1);
    });
};

// Функция для заливки первой строки голубым цветом
const fillHeaderRow = (worksheet) => {
    const headerRow = worksheet.getRow(1);
    headerRow.eachCell((cell) => {
        cell.fill = {
            type: "pattern",
            pattern: "solid",
            fgColor: { argb: "ADD8E6" },
        };
        cell.font = { bold: true };
    });
};

// Основная функция для обработки файла
const processExcelFiles = async () => {
    const pLimit = (await import("p-limit")).default; // Динамический импорт p-limit
    const limit = pLimit(config.maxConcurrentTasks); // Регулируем это число для настройки многозадачности

    const existingSheetNames = new Set(); // Множество для отслеживания уникальных имён листов

    const tasks = renameMappings.map(mapping =>
        limit(async () => {
            const inputFilePathXls = path.join(config.directoryPath, `${mapping.newName}.xls`);
            const inputFilePathXlsx = path.join(config.directoryPath, `${mapping.newName}.xlsx`);
            const sheetName = mapping.newName; // Желаемое название листа

            // Если файл в формате .xlsx существует
            if (fs.existsSync(inputFilePathXlsx)) {
                console.log(`Работаем с файлом ${inputFilePathXlsx}`);
                const workbook = new ExcelJS.Workbook();
                await workbook.xlsx.readFile(inputFilePathXlsx);

                // Получаем существующие имена листов для обеспечения уникальности
                workbook.eachSheet((sheet) => {
                    existingSheetNames.add(sheet.name);
                });

                const worksheet = workbook.getWorksheet(1);
                const safeSheetName = generateSafeSheetName(sheetName, existingSheetNames);
                worksheet.name = safeSheetName; // Устанавливаем безопасное имя листа

                // Удаляем столбцы, если они указаны
                if (mapping.columns && mapping.columns.length > 0) {
                    removeColumns(worksheet, mapping.columns);
                }
                
                fillHeaderRow(worksheet);
                await workbook.xlsx.writeFile(inputFilePathXlsx);
                console.log(`Файл ${inputFilePathXlsx} обработан: заголовок окрашен.`);
            }

            // Если файл в формате .xls существует
            else if (fs.existsSync(inputFilePathXls)) {
                console.log(`Работаем с файлом ${inputFilePathXls}`);
                const workbook = await convertXlsToExcelJSWorkbook(inputFilePathXls, sheetName, existingSheetNames);
                const worksheet = workbook.getWorksheet(1);

                // Удаляем столбцы, если они указаны
                if (mapping.columns && mapping.columns.length > 0) {
                    removeColumns(worksheet, mapping.columns);
                }

                fillHeaderRow(worksheet);
                const outputFilePath = inputFilePathXls.replace(".xls", ".xlsx");
                await workbook.xlsx.writeFile(outputFilePath);

                // Удаляем исходный .xls файл
                fs.unlinkSync(inputFilePathXls);
                console.log(`Файл ${outputFilePath} сохранён, исходный .xls файл удалён.`);
            } else {
                console.log(`Файл ${mapping.newName} не найден.`);
            }
        })
    );

    // Запуск всех задач с использованием ограниченной многозадачности
    await Promise.all(tasks);
};

// Запускаем обработку
processExcelFiles().catch(err => console.error(err));
ASSISTANT
Ошибка `Worksheet name already exists` указывает на то, что вы пытаетесь установить имя листа, которое уже существует в рабочей книге. В вашем случае имя листа `"Найдено предупреждений в Sitema"` уже присутствует, и попытка установить его снова вызывает ошибку.

### Причина ошибки

В вашем скрипте вы используете глобальный набор `existingSheetNames`, который собирает имена листов из всех обрабатываемых рабочих книг. Когда вы одновременно обрабатываете несколько файлов (из-за использования `p-limit` для параллельных задач), имена листов из разных книг добавляются в один и тот же глобальный набор. Это приводит к тому, что при обработке следующей рабочей книги, даже если в ней уникальное имя листа, оно может считаться существующим из-за того, что оно уже добавлено из другой книги. В результате, при попытке установить имя листа может возникнуть конфликт.

### Как исправить

Чтобы избежать этой проблемы, необходимо обеспечить уникальность имен листов **в пределах каждой рабочей книги**, а не глобально для всех книг. Для этого следует использовать отдельный набор `existingSheetNames` для каждой обрабатываемой рабочей книги. Это предотвратит конфликты имен между разными рабочими книгами.

### Шаги по исправлению:

1. **Переместите `existingSheetNames` внутрь каждой задачи**: Вместо использования глобального набора, создавайте новый набор внутри каждой асинхронной задачи, обрабатывающей отдельный файл. Это гарантирует, что имена листов проверяются только в контексте текущей рабочей книги.

2. **Обновите функцию `convertXlsToExcelJSWorkbook`**: Убедитесь, что она также использует локальный набор имен листов для каждой рабочей книги.

3. **Избегайте глобального состояния**: Минимизируйте использование глобальных переменных, особенно при параллельной обработке, чтобы избежать подобных конфликтов.

### Обновленный скрипт

Вот обновленный вариант вашего скрипта с учетом вышеописанных изменений:

```javascript
import ExcelJS from "exceljs";
import XLSX from "xlsx";
import fs from "fs";
import path from "path";
import config from "./config.js"; 
import renameMappings from "./renameMappings.js";

/**
 * Функция для безопасного создания уникального имени листа.
 * Ограничивает длину до 31 символа и добавляет суффикс, если необходимо.
 */
const generateSafeSheetName = (desiredName, existingNames) => {
    const maxLength = 31;
    let safeName = desiredName.length > maxLength ? desiredName.substring(0, maxLength) : desiredName;
    let uniqueName = safeName;
    let counter = 1;

    while (existingNames.has(uniqueName)) {
        const suffix = `_${counter}`;
        // Убедимся, что итоговая длина не превышает 31 символ
        const truncatedLength = maxLength - suffix.length;
        uniqueName = (desiredName.length > truncatedLength ? desiredName.substring(0, truncatedLength) : desiredName) + suffix;
        counter++;
    }

    existingNames.add(uniqueName);
    return uniqueName;
};

// Функция для конвертации .xls в ExcelJS workbook с динамическим названием листа
const convertXlsToExcelJSWorkbook = async (inputPath, sheetName, existingNames) => {
    const workbookXLS = XLSX.readFile(inputPath);
    const worksheetXLS = workbookXLS.Sheets[workbookXLS.SheetNames[0]];
    const worksheetData = XLSX.utils.sheet_to_json(worksheetXLS, { header: 1 });

    const exceljsWorkbook = new ExcelJS.Workbook();
    const safeSheetName = generateSafeSheetName(sheetName, existingNames);
    const worksheet = exceljsWorkbook.addWorksheet(safeSheetName); // Название листа безопасно

    worksheetData.forEach((row, rowIndex) => {
        const newRow = worksheet.addRow(row);
        if (rowIndex === 0) {
            newRow.font = { bold: true };
        }
    });

    return exceljsWorkbook;
};

// Функция для удаления указанных столбцов
const removeColumns = (worksheet, columnsToRemove) => {
    const headerRow = worksheet.getRow(1);
    const columnsToDeleteIndices = [];

    headerRow.eachCell((cell, colNumber) => {
        if (columnsToRemove.includes(cell.value)) {
            columnsToDeleteIndices.push(colNumber);
        }
    });

    columnsToDeleteIndices.sort((a, b) => b - a).forEach(colNumber => {
        worksheet.spliceColumns(colNumber, 1);
    });
};

// Функция для заливки первой строки голубым цветом
const fillHeaderRow = (worksheet) => {
    const headerRow = worksheet.getRow(1);
    headerRow.eachCell((cell) => {
        cell.fill = {
            type: "pattern",
            pattern: "solid",
            fgColor: { argb: "ADD8E6" },
        };
        cell.font = { bold: true };
    });
};

// Основная функция для обработки файла
const processExcelFiles = async () => {
    const pLimit = (await import("p-limit")).default; // Динамический импорт p-limit
    const limit = pLimit(config.maxConcurrentTasks); // Регулируем это число для настройки многозадачности

    const tasks = renameMappings.map(mapping =>
        limit(async () => {
            const inputFilePathXls = path.join(config.directoryPath, `${mapping.newName}.xls`);
            const inputFilePathXlsx = path.join(config.directoryPath, `${mapping.newName}.xlsx`);
            const sheetName = mapping.newName; // Желаемое название листа

            const existingSheetNames = new Set(); // Локальный набор для текущей рабочей книги

            // Если файл в формате .xlsx существует
            if (fs.existsSync(inputFilePathXlsx)) {
                console.log(`Работаем с файлом ${inputFilePathXlsx}`);
                const workbook = new ExcelJS.Workbook();
                await workbook.xlsx.readFile(inputFilePathXlsx);

                // Получаем существующие имена листов для обеспечения уникальности внутри этой книги
                workbook.eachSheet((sheet) => {
                    existingSheetNames.add(sheet.name);
                });

                const worksheet = workbook.getWorksheet(1);
                const safeSheetName = generateSafeSheetName(sheetName, existingSheetNames);
                worksheet.name = safeSheetName; // Устанавливаем безопасное имя листа

                // Удаляем столбцы, если они указаны
                if (mapping.columns && mapping.columns.length > 0) {
                    removeColumns(worksheet, mapping.columns);
                }
                
                fillHeaderRow(worksheet);
                await workbook.xlsx.writeFile(inputFilePathXlsx);
                console.log(`Файл ${inputFilePathXlsx} обработан: заголовок окрашен.`);
            }

            // Если файл в формате .xls существует
            else if (fs.existsSync(inputFilePathXls)) {
                console.log(`Работаем с файлом ${inputFilePathXls}`);
                const workbook = await convertXlsToExcelJSWorkbook(inputFilePathXls, sheetName, existingSheetNames);
                const worksheet = workbook.getWorksheet(1);

                // Удаляем столбцы, если они указаны
                if (mapping.columns && mapping.columns.length > 0) {
                    removeColumns(worksheet, mapping.columns);
                }

                fillHeaderRow(worksheet);
                const outputFilePath = inputFilePathXls.replace(".xls", ".xlsx");
                await workbook.xlsx.writeFile(outputFilePath);

                // Удаляем исходный .xls файл
                fs.unlinkSync(inputFilePathXls);
                console.log(`Файл ${outputFilePath} сохранён, исходный .xls файл удалён.`);
            } else {
                console.log(`Файл ${mapping.newName} не найден.`);
            }
        })
    );

    // Запуск всех задач с использованием ограниченной многозадачности
    await Promise.all(tasks);
};

// Запускаем обработку
processExcelFiles().catch(err => console.error(err));
```

### Основные изменения:

1. **Перемещение `existingSheetNames` внутрь задачи**:
    ```javascript
    renameMappings.map(mapping =>
        limit(async () => {
            // ...
            const existingSheetNames = new Set(); // Локальный набор для текущей рабочей книги
            // ...
        })
    )
    ```

2. **Удаление глобального `existingSheetNames`**: Убедитесь, что глобальный набор больше не используется и не влияет на уникальность имен листов внутри отдельных рабочих книг.

### Дополнительные рекомендации:

- **Логирование**: Добавьте дополнительные сообщения логирования, чтобы отслеживать, какие имена листов генерируются и устанавливаются. Это поможет быстрее диагностировать потенциальные проблемы в будущем.

- **Обработка ошибок**: Рассмотрите возможность более изящной обработки ошибок, связанных с установкой имен листов, чтобы скрипт мог продолжать работу даже при возникновении подобных ошибок.

- **Тестирование**: Перед запуском скрипта на всех данных, протестируйте его на небольшом наборе файлов, чтобы убедиться, что проблема решена и скрипт работает корректно.

Если после внесения этих изменений проблема сохраняется, рекомендуется добавить дополнительное логирование внутри функции `generateSafeSheetName` и перед установкой имени листа, чтобы точно определить источник конфликта.

turns-00051.parquet:8945

0fe1d056a3a727006ee6ba1a
turn 1/1gpt-4o-2024-08-06EnglishThe Netherlands960 words
degenerate_repetitionAbsentFinal dense release
USER
System: You are an expert Named Entity Recognition (NER) system. Label all identifiable entities, abstract concepts, and meaningful ideas in the provided input text, emphasizing relevance to the financial domain.

Ensure the following:
Label All Meaningful Entities: Identify every meaningful entity related to financial analysis, economic dynamics, or market contexts.
Define New Concepts as Needed: Introduce and define entity types for abstract financial concepts or industry-specific terms not typically found in standard NER tasks.
Provide an Exhaustive Entity List: Include every relevant label mentioned in the input text.

Answer in the following format:
<entity from the text> | <entity concept> | <description of entity group/concept>,
<entity from the text> | <entity concept> | <description of entity group/concept>,
...

Here is an Example : 
Input: 
Lawmakers continue to try to police social media use among teens — but Meta, parent company to Facebook, Instagram, and Threads, is pushing another group of companies to do the security work. Meta is expected to announce a proposal on Nov. 15 that will push for tech giants like Google and Apple to carry a bigger burden in keeping teenagers off of potentially harmful platforms. Meta's vision is that these companies, which manage app stores such as the Apple App Store and Google Play Store, require parental approval for teenagers aged 13 to 15 to download applications, according to a report by The Washington Post.

Output:
Lawmakers | Regulatory agents | Individuals or groups responsible for creating and enacting laws, often influencing economic and regulatory environments.  
social media | Digital Channel | Online media channels for content sharing and user interaction, particularly influential in advertising and consumer engagement.
Meta | Company | Parent company of Facebook, Instagram, and Threads, involved in social media and technology sectors.  
Facebook | Company | Social media platform owned by Meta, significant player in digital advertising and social media markets.  
Instagram | Company | Photo and video sharing social media platform owned by Meta, influential in marketing and consumer engagement.  
Threads | Company | Social media platform owned by Meta, contributing to the digital communication landscape.  
Nov. 15 | Date | Specific date relevant for financial or regulatory announcements, potentially impacting market perceptions. 
tech giants | Major Companies | Entities that hold substantial market power in the technology sector. 
Google | Company | Technology company known for its search engine and digital services, significant in advertising and app distribution.  
Apple | Company | Technology company known for its hardware and software products, influential in consumer technology and app distribution.  
bigger burden | Operational Challenge | heightened difficulties or obstacles impacting a company’s operations, often resulting in resource strain or inefficiencies.
Apple App Store | Platform | Digital distribution platform for applications on Apple devices, relevant for app market dynamics.  
Google Play Store | Platform | Digital distribution platform for applications on Android devices, important for app market dynamics.  
Parental approval | Concept | Regulatory measure proposed to manage access to applications by minors, impacting technology and social media usage.  
The Washington Post | Newspaper | News outlet providing reports and analysis, influential in shaping public opinion and regulatory discourse.
User: Monday - Friday, 6:00 - 7:00 PM ET Jim Cramer was intrigued when Micron Technology suddenly got its groove back on Thursday. Micron jumped a monster 10 percent after it was upgraded by both Susquehanna and Nomura. And the good news is that Cramer thinks this isn't just the stock playing catch up. This could be the beginning of something good. "It looks to me like a major turn could be unfolding, with not one but several product lines doing better," the " Mad Money " host said. Micron's two main products are within the scope of dynamic random-access memory (DRAM) and flash memory. After a 50 percent decline in pricing in the past two years, DRAMs are finally going higher. Initially the decline in DRAM pricing occurred
Assistant:
ASSISTANT
Monday - Friday, 6:00 - 7:00 PM ET | Time Frame | Specific time period relevant for regular scheduled programming, potentially impacting audience engagement and viewership metrics.
Jim Cramer | Individual | Financial expert and television personality known for hosting "Mad Money," influential in stock market analysis and investor sentiment.
Micron Technology | Company | Semiconductor company specializing in memory and storage solutions, significant player in the technology and manufacturing sectors.
Thursday | Date | Specific day on which notable financial events or market activities occurred, impacting stock market dynamics and news cycles.
10 percent | Percentage Change | Notable change in the value of a stock or financial asset, relevant for market analysis and investor decision-making.
Susquehanna | Financial Institution | Investment firm providing financial services and analyst coverage, influential entity in stock ratings and market perceptions.
Nomura | Financial Institution | Global investment bank involved in stock analysis and financial advising, impacting market perceptions through ratings and reports.
Stock | Financial Asset | Equity securities representing ownership in a company, relevant for investment and financial markets.
"Mad Money" | Television Program | CNBC television show focusing on investment and financial advice, important for financial education and influencing investor behavior.
Product Lines | Business Concept | Different categories or types of products offered by a company, relevant for market diversification and revenue streams.
Dynamic Random-Access Memory (DRAM) | Technology Product | Type of semiconductor memory used in computing devices, significant component in technology hardware and market pricing.
Flash Memory | Technology Product | Non-volatile storage medium used in computers and digital devices, important in technology hardware and consumer electronics.
50 percent decline | Percentage Change | Significant reduction in value or pricing, relevant for market analysis and trends.
Pricing | Economic Concept | The determination of the monetary value assigned to products or services, crucial in market dynamics and financial analysis.

turns-00051.parquet:8946

daf5d5235c2dc49d0833f604
turn 1/1gpt-4o-2024-08-06EnglishGermany967 words
degenerate_repetitionAbsentFinal dense release
USER
System: You are an expert Named Entity Recognition (NER) system. Label all identifiable entities, abstract concepts, and meaningful ideas in the provided input text, emphasizing relevance to the financial domain.

Ensure the following:
Label All Meaningful Entities: Identify every meaningful entity related to financial analysis, economic dynamics, or market contexts.
Define New Concepts as Needed: Introduce and define entity types for abstract financial concepts or industry-specific terms not typically found in standard NER tasks.
Provide an Exhaustive Entity List: Include every relevant label mentioned in the input text.

Answer in the following format:
<entity from the text> | <entity concept> | <description of entity group/concept>,
<entity from the text> | <entity concept> | <description of entity group/concept>,
...

Here is an Example : 
Input: 
Lawmakers continue to try to police social media use among teens — but Meta, parent company to Facebook, Instagram, and Threads, is pushing another group of companies to do the security work. Meta is expected to announce a proposal on Nov. 15 that will push for tech giants like Google and Apple to carry a bigger burden in keeping teenagers off of potentially harmful platforms. Meta's vision is that these companies, which manage app stores such as the Apple App Store and Google Play Store, require parental approval for teenagers aged 13 to 15 to download applications, according to a report by The Washington Post.

Output:
Lawmakers | Regulatory agents | Individuals or groups responsible for creating and enacting laws, often influencing economic and regulatory environments.  
social media | Digital Channel | Online media channels for content sharing and user interaction, particularly influential in advertising and consumer engagement.
Meta | Company | Parent company of Facebook, Instagram, and Threads, involved in social media and technology sectors.  
Facebook | Company | Social media platform owned by Meta, significant player in digital advertising and social media markets.  
Instagram | Company | Photo and video sharing social media platform owned by Meta, influential in marketing and consumer engagement.  
Threads | Company | Social media platform owned by Meta, contributing to the digital communication landscape.  
Nov. 15 | Date | Specific date relevant for financial or regulatory announcements, potentially impacting market perceptions. 
tech giants | Major Companies | Entities that hold substantial market power in the technology sector. 
Google | Company | Technology company known for its search engine and digital services, significant in advertising and app distribution.  
Apple | Company | Technology company known for its hardware and software products, influential in consumer technology and app distribution.  
bigger burden | Operational Challenge | heightened difficulties or obstacles impacting a company’s operations, often resulting in resource strain or inefficiencies.
Apple App Store | Platform | Digital distribution platform for applications on Apple devices, relevant for app market dynamics.  
Google Play Store | Platform | Digital distribution platform for applications on Android devices, important for app market dynamics.  
Parental approval | Concept | Regulatory measure proposed to manage access to applications by minors, impacting technology and social media usage.  
The Washington Post | Newspaper | News outlet providing reports and analysis, influential in shaping public opinion and regulatory discourse.
User: Jack in the Box failed to meet earnings and revenue estimates but delivered strong guidance. The restaurant chain reported earnings per share of 62 cents and $354 million in revenue. Analysts forecast Jack in the Box would deliver 65 cents in earnings per share on $357 million in revenue, according to a Thomson Reuters consensus estimate. What is Jack in the Box stock doing now? (Click here to track its shares after the bell.) Its outlook called for earnings of $3.55 to $3.70 a share during fiscal 2016. Analysts were expecting $3.56 per share in earnings. Systemwide same-store sales were forecast to rise 6.6 percent at Qdoba and 5.7 percent at Jack in the Box, according to Consensus Metrix. During the quarter, Qdoba's comps rose 6.6 percent, matching
Assistant:
ASSISTANT
Jack in the Box | Company | Restaurant chain known for its quick-service outlets, involved in the food and beverage industry.  
earnings estimates | Financial Forecast | Projections made by analysts or financial experts about a company's potential earnings for a specific period.  
revenue estimates | Financial Forecast | Projections made by analysts about a company’s potential revenue over a particular period.  
earnings per share (EPS) | Financial Metric | A measure of a company's profitability, calculated as net income divided by shares outstanding.  
62 cents | Earnings Figure | Reported earnings per share by Jack in the Box for the period.  
$354 million | Revenue Figure | Reported revenue by Jack in the Box for the period.  
Analysts | Financial Experts | Individuals or groups who assess financial data to forecast company performance and industry trends.  
Thomson Reuters consensus estimate | Information Source | Aggregate forecast from market analysts provided by Thomson Reuters, used as a benchmark for company evaluations.  
stock | Financial Instrument | Equity security representing ownership in a company, traded on financial markets.  
outlook | Financial Forecast | Company guidance on expected future financial performance, providing insights to investors.  
fiscal 2016 | Time Period | Company's financial year for 2016, relevant for reporting and analysis.  
systemwide same-store sales | Retail Metric | Measure of sales performance in stores open for a year or more, used to gauge growth excluding new store additions.  
Qdoba | Company | Restaurant chain owned by Jack in the Box, specializing in Mexican cuisine.  
Consensus Metrix | Information Source | Data provider specializing in consensus forecasts from analysts, utilized for market analysis.  
comps | Retail Metric | Comparable store sales, or same-store sales, indicating the growth of existing store locations.  
6.6 percent | Growth Rate | Predicted increase in systemwide same-store sales for Qdoba.  
5.7 percent | Growth Rate | Predicted increase in systemwide same-store sales for Jack in the Box.

turns-00051.parquet:8947

8591a9693ad7a0845f499190
turn 1/1gpt-4o-2024-08-06RussianUnited States185 words
degenerate_repetitionAbsentFinal dense release
USER
Привет! Ты — отличник, знающий ответы на любые задания. Реши задание с платформы ЯКласс. Ознакомься с приведенным текстом задания: ['Определи\xa0верный ответ.\n\xa0\nКак происходит размножение бактерий при благоприятных условиях?\n\xa0\nРазмножение\xa0происходит:\nпосредством образования спор\nделением клетки на две дочерних\nпосредством отделения почки от материнской клетки']. Ответи строго на русском языке, не превышая 1900 символов. Если есть варианты ответов, выбирай только из них, не выходя за их рамки. Используй интернет для подтверждения информации. Не используй Latex и mathjax принаписании математических формул пиши все в одну строку используя utf-8 символы для степеней и т. д..Помни, что твои ответы должны основываться только на знаниях и фактах.
ASSISTANT
Привет! Бактерии размножаются в благоприятных условиях, как правило, делением клетки на две дочерние клетки. Этот процесс называется бинарным делением или простым делением.

Другие способы, указанные в вариантах ответов, не являются основными методами размножения бактерий:
1. Образование спор — это, скорее, способ защиты бактерий в неблагоприятных условиях, чем метод размножения.
2. Отделение почки от материнской клетки — этот метод характерен больше для некоторых одноклеточных грибов и водорослей, например, для дрожжей, но не для большинства бактерий.

Таким образом, правильный ответ на заданный вопрос: размножение бактерий происходит делением клетки на две дочерних.

turns-00051.parquet:8948

97f397405bddb2cdacb69fc7
turn 1/1o1-mini-2024-09-12EnglishUnited States3119 words
degenerate_repetitionAbsentFinal dense release
USER
Speed up this even more make it faster using all the optimizations that would be needed here is code import ttkbootstrap as tb
from ttkbootstrap.constants import *
from ttkbootstrap.dialogs import Messagebox
from tkinter import filedialog
import os
import subprocess
import threading
import concurrent.futures
import queue
import psutil

# Constants for the application
APP_NAME = "DeepAscension Video2Image+"
MAX_CONCURRENT_TASKS = 4
DISK_CHECK_INTERVAL = 5000  # in milliseconds

def select_input_folders():
    while True:
        folder = filedialog.askdirectory(title="Select Input Folder (Cancel to finish)")
        if folder:
            if folder not in input_folders:
                input_folders.append(folder)
                tree.insert('', 'end', iid=folder, values=(folder, "Pending"))
            else:
                Messagebox.show_warning("Duplicate Folder", f"The folder '{folder}' is already selected.")
        else:
            break

def remove_selected_folders():
    selected_items = tree.selection()
    for item in selected_items:
        input_folders.remove(item)
        tree.delete(item)
    update_remove_button()

def select_output_folder():
    folder = filedialog.askdirectory(title="Select Output Folder")
    if folder:
        output_folder_var.set(folder)
        output_entry.config(state='normal')
        output_entry.delete(0, tb.END)
        output_entry.insert(0, folder)
        output_entry.config(state='readonly')

def sanitize_folder_name(name):
    """Sanitize the folder name to remove or replace problematic characters."""
    return "".join(c if c.isalnum() or c in (' ', '_', '-') else "_" for c in name).replace(" ", "_")

def process_videos_thread():
    """Run the video processing in a separate thread."""
    threading.Thread(target=process_videos, daemon=True).start()

def process_videos():
    global is_paused
    output_folder = output_folder_var.get()

    if not input_folders:
        Messagebox.show_error("Error", "Please select at least one input folder.")
        return
    if not output_folder:
        Messagebox.show_error("Error", "Please select an output folder.")
        return

    # Ensure the output directory exists
    os.makedirs(output_folder, exist_ok=True)

    # Disable the process button and folder selection buttons to prevent multiple clicks
    set_buttons_state(DISABLED)

    # Initialize overall progress bar
    progress_bar['maximum'] = len(input_folders)
    progress_bar['value'] = 0
    status_label.config(text="Starting processing...")

    # Queue to receive progress updates
    progress_queue = queue.Queue()

    # List to collect errors
    errors = []

    # Create a copy of input_folders to iterate over
    tasks_queue = queue.Queue()
    for folder in input_folders:
        tasks_queue.put(folder)

    def worker(folder):
        # Update Treeview status to "Processing"
        progress_queue.put(("status", folder, "Processing"))
        base_name = os.path.basename(os.path.normpath(folder))
        sanitized_base = sanitize_folder_name(base_name)
        unique_output_dir = os.path.join(output_folder, f"{sanitized_base}_{base_name}")
        os.makedirs(unique_output_dir, exist_ok=True)
        try:
            # Retrieve the selected output format
            selected_format = output_format_var.get()

            # Run the video2image command with the unique output directory and selected format
            subprocess.run(
                ['video2image', '-i', folder, '-o', unique_output_dir, '-f', selected_format],
                check=True,
                stdout=subprocess.PIPE,
                stderr=subprocess.PIPE
            )
            progress_queue.put(("success", folder))
        except subprocess.CalledProcessError as e:
            error_msg = f"Failed to process folder: {folder}\nError: {e.stderr.decode().strip()}"
            progress_queue.put(("error", folder, error_msg))
        except Exception as ex:
            error_msg = f"An unexpected error occurred while processing folder: {folder}\nError: {ex}"
            progress_queue.put(("error", folder, error_msg))

    # Initialize ThreadPoolExecutor
    executor = concurrent.futures.ThreadPoolExecutor(max_workers=MAX_CONCURRENT_TASKS)
    futures = []

    def submit_tasks():
        while not tasks_queue.empty() and not is_paused:
            folder = tasks_queue.get()
            future = executor.submit(worker, folder)
            futures.append(future)

    # Initially submit tasks
    submit_tasks()

    def check_queue():
        try:
            while True:
                msg = progress_queue.get_nowait()
                if msg[0] == "status":
                    _, folder, status = msg
                    tree.set(folder, "Status", status)
                elif msg[0] == "success":
                    _, folder = msg
                    tree.set(folder, "Status", "Completed")
                    progress_bar['value'] += 1
                elif msg[0] == "error":
                    _, folder, error_msg = msg
                    tree.set(folder, "Status", "Error")
                    errors.append(error_msg)
                    progress_bar['value'] += 1

                # Check if more tasks need to be submitted
                if not tasks_queue.empty() and not is_paused:
                    submit_tasks()

                # Update overall progress
                overall = progress_bar['value']
                status_label.config(text=f"Processed {overall} of {len(input_folders)} folders.")

                if overall >= len(input_folders):
                    executor.shutdown(wait=False)
                    finalize_processing()
        except queue.Empty:
            pass
        if progress_bar['value'] < len(input_folders):
            root.after(100, check_queue)

    # Start checking the queue
    root.after(100, check_queue)

    def finalize_processing():
        set_buttons_state(NORMAL)
        if errors:
            error_message = "\n\n".join(errors)
            Messagebox.show_error("Processing Completed with Errors", error_message)
        else:
            Messagebox.show_success("Success", "All videos have been successfully processed.")
        progress_bar['value'] = 0
        status_label.config(text="Processing completed.")

    # Start disk space monitoring
    monitor_disk_space()

def set_buttons_state(state):
    process_button.config(state=state)
    select_input_button.config(state=state)
    select_output_button.config(state=state)
    remove_button.config(state=NORMAL if input_folders and state == NORMAL else DISABLED)
    pause_button.config(state=state if state == NORMAL else DISABLED)
    resume_button.config(state=DISABLED if state == NORMAL else NORMAL)
    output_format_combobox.config(state=DISABLED if state == DISABLED else NORMAL)

def on_pause():
    global is_paused
    is_paused = True
    status_label.config(text="Processing paused.")
    pause_button.config(state=DISABLED)
    resume_button.config(state=NORMAL)

def on_resume():
    global is_paused
    is_paused = False
    status_label.config(text="Resuming processing...")
    pause_button.config(state=NORMAL)
    resume_button.config(state=DISABLED)
    # Resume task submission
    threading.Thread(target=process_videos, daemon=True).start()

def monitor_disk_space():
    output_path = output_folder_var.get() or '/'
    try:
        total, used, free = psutil.disk_usage(output_path)
        if free < disk_space_threshold_mb * 1024 * 1024:
            if not is_paused:
                on_pause()
                Messagebox.show_warning("Auto-Pause", "Disk space below threshold. Processing has been paused.")
    except Exception as e:
        Messagebox.show_error("Disk Space Error", f"Unable to determine disk space for '{output_path}'.\nError: {e}")
    root.after(DISK_CHECK_INTERVAL, monitor_disk_space)

def set_disk_threshold():
    try:
        value = int(disk_threshold_entry.get())
        if value <= 0:
            raise ValueError
        global disk_space_threshold_mb
        disk_space_threshold_mb = value
        Messagebox.show_info("Threshold Set", f"Auto-pause threshold set to {value} MB.")
    except ValueError:
        Messagebox.show_error("Invalid Input", "Please enter a valid positive integer for the disk space threshold.")

def update_remove_button():
    """Enable or disable the remove button based on folder selection."""
    if input_folders:
        remove_button.config(state=NORMAL)
    else:
        remove_button.config(state=DISABLED)

# Initialize the main window with ttkbootstrap
root = tb.Window(themename="darkly")
root.title(APP_NAME)
root.geometry("1100x800")
root.resizable(True, True)  # Allow resizing for better usability

# Initialize the list to store input folders
input_folders = []

# Variable to store output folder path
output_folder_var = tb.StringVar()

# Variable for disk space threshold
disk_space_threshold_mb = 500  # Default to 500 MB

# Variable for output format
output_format_var = tb.StringVar(value="jpg")  # Default to 'jpg'

# Pause state
is_paused = False

# Configure styles using ttkbootstrap
style = tb.Style()

# Frame for Input Folders
input_frame = tb.LabelFrame(root, text="Input Folders")
input_frame.pack(fill="both", expand=True, padx=20, pady=10)

# Treeview to display selected input folders and their statuses
columns = ("Folder", "Status")
tree = tb.Treeview(input_frame, columns=columns, show='headings', selectmode='extended', height=15)
tree.heading("Folder", text="Folder")
tree.heading("Status", text="Status")
tree.column("Folder", anchor='w', width=800)
tree.column("Status", anchor='center', width=200)
tree.pack(side=tb.LEFT, fill=tb.BOTH, expand=True, padx=(0,5), pady=5)

# Scrollbar for the Treeview
tree_scroll = tb.Scrollbar(input_frame, orient=tb.VERTICAL, command=tree.yview)
tree_scroll.pack(side=tb.RIGHT, fill=tb.Y)
tree.config(yscrollcommand=tree_scroll.set)

# Frame for Input Buttons
input_button_frame = tb.Frame(root)
input_button_frame.pack(fill='x', padx=20, pady=(0,10))

# Button to select input folders
select_input_button = tb.Button(input_button_frame, text="Select Input Folders", bootstyle=PRIMARY, command=select_input_folders)
select_input_button.pack(side=tb.LEFT, padx=5)

# Button to remove selected input folders
remove_button = tb.Button(input_button_frame, text="Remove Selected", bootstyle=DANGER, command=remove_selected_folders, state=DISABLED)
remove_button.pack(side=tb.LEFT, padx=5)

# Frame for Output Folder
output_frame = tb.LabelFrame(root, text="Output Folder")
output_frame.pack(fill="both", expand=True, padx=20, pady=10)

# Entry widget to display selected output folder
output_entry = tb.Entry(output_frame, textvariable=output_folder_var, width=80, state='readonly')
output_entry.pack(side=tb.LEFT, padx=(0, 5), expand=True, fill=tb.X)

# Button to select output folder
select_output_button = tb.Button(output_frame, text="Select Output Folder", bootstyle=PRIMARY, command=select_output_folder)
select_output_button.pack(side=tb.LEFT, padx=5)

# Frame for Output Format Selection
format_frame = tb.LabelFrame(root, text="Output Format")
format_frame.pack(fill="x", expand=True, padx=20, pady=10)

format_label = tb.Label(format_frame, text="Select Output Format:")
format_label.pack(side=tb.LEFT, padx=(0,5))

output_format_combobox = tb.Combobox(format_frame, textvariable=output_format_var, values=["jpg", "png"], state="readonly")
output_format_combobox.pack(side=tb.LEFT, padx=5)
output_format_combobox.current(0)  # Set default to 'jpg'

# Frame for Disk Space Threshold
disk_frame = tb.LabelFrame(root, text="Auto-Pause Disk Space Threshold (MB)")
disk_frame.pack(fill="x", expand=True, padx=20, pady=10)

disk_threshold_entry = tb.Entry(disk_frame, width=10, justify='center')
disk_threshold_entry.insert(0, str(disk_space_threshold_mb))
disk_threshold_entry.pack(side=tb.LEFT, padx=(0,5))

set_threshold_button = tb.Button(disk_frame, text="Set Threshold", bootstyle=SUCCESS, command=set_disk_threshold)
set_threshold_button.pack(side=tb.LEFT, padx=5)

# Progress Frame with Overall Progress Bar
progress_frame = tb.Frame(root)
progress_frame.pack(fill='x', padx=20, pady=10)

progress_label = tb.Label(progress_frame, text="Overall Progress:")
progress_label.pack(anchor='w')

progress_bar = tb.Progressbar(progress_frame, orient='horizontal', length=1000, mode='determinate', bootstyle="info")
progress_bar.pack(pady=5, fill=tb.X)

# Status Label
status_label = tb.Label(root, text="Ready.", relief=RAISED, anchor='w', bootstyle="secondary")
status_label.pack(fill='x', padx=20, pady=(0,10))

# Frame for Control Buttons
control_button_frame = tb.Frame(root)
control_button_frame.pack(fill='x', padx=20, pady=10)

# Process Button
process_button = tb.Button(control_button_frame, text="Process Videos", bootstyle=SUCCESS, command=process_videos_thread)
process_button.pack(side=tb.LEFT, padx=5, ipadx=10, ipady=5)

# Pause Button
pause_button = tb.Button(control_button_frame, text="Pause", bootstyle=WARNING, command=on_pause, state=DISABLED)
pause_button.pack(side=tb.LEFT, padx=5, ipadx=10, ipady=5)

# Resume Button
resume_button = tb.Button(control_button_frame, text="Resume", bootstyle=INFO, command=on_resume, state=DISABLED)
resume_button.pack(side=tb.LEFT, padx=5, ipadx=10, ipady=5)

# Monitor changes in the input_folders list to update the remove button state
def monitor_input_folders():
    """Periodically check if input_folders is empty to enable/disable the remove button."""
    update_remove_button()
    root.after(500, monitor_input_folders)

monitor_input_folders()

# Run the GUI loop
root.mainloop()
ASSISTANT
To optimize your **DeepAscension Video2Image+** application for better performance, several enhancements can be implemented. These optimizations focus on improving concurrency, reducing I/O bottlenecks, minimizing GUI update overhead, and ensuring efficient resource management. Below is the optimized version of your code, followed by a detailed explanation of the changes made.

### Optimized Code

```python
import ttkbootstrap as tb
from ttkbootstrap.constants import *
from ttkbootstrap.dialogs import Messagebox
from tkinter import filedialog
import os
import subprocess
import threading
import concurrent.futures
import queue
import psutil
import sys

# Constants for the application
APP_NAME = "DeepAscension Video2Image+"
DEFAULT_MAX_CONCURRENT_TASKS = 4
DISK_CHECK_INTERVAL = 5000  # in milliseconds

def select_input_folders():
    while True:
        folder = filedialog.askdirectory(title="Select Input Folder (Cancel to finish)")
        if folder:
            if folder not in input_folders:
                input_folders.append(folder)
                tree.insert('', 'end', iid=folder, values=(folder, "Pending"))
            else:
                Messagebox.show_warning("Duplicate Folder", f"The folder '{folder}' is already selected.")
        else:
            break

def remove_selected_folders():
    selected_items = tree.selection()
    for item in selected_items:
        input_folders.remove(item)
        tree.delete(item)
    update_remove_button()

def select_output_folder():
    folder = filedialog.askdirectory(title="Select Output Folder")
    if folder:
        output_folder_var.set(folder)
        output_entry.config(state='normal')
        output_entry.delete(0, tb.END)
        output_entry.insert(0, folder)
        output_entry.config(state='readonly')

def sanitize_folder_name(name):
    """Sanitize the folder name to remove or replace problematic characters."""
    return "".join(c if c.isalnum() or c in (' ', '_', '-') else "_" for c in name).replace(" ", "_")

def process_videos_thread():
    """Run the video processing in a separate thread."""
    threading.Thread(target=process_videos, daemon=True).start()

def process_videos():
    global is_paused
    output_folder = output_folder_var.get()

    if not input_folders:
        Messagebox.show_error("Error", "Please select at least one input folder.")
        return
    if not output_folder:
        Messagebox.show_error("Error", "Please select an output folder.")
        return

    # Ensure the output directory exists
    os.makedirs(output_folder, exist_ok=True)

    # Disable the process button and folder selection buttons to prevent multiple clicks
    set_buttons_state(DISABLED)

    # Initialize overall progress bar
    progress_bar['maximum'] = len(input_folders)
    progress_bar['value'] = 0
    status_label.config(text="Starting processing...")

    # Queue to receive progress updates
    progress_queue = queue.Queue()

    # List to collect errors
    errors = []

    # Create a copy of input_folders to iterate over
    tasks_queue = queue.Queue()
    for folder in input_folders:
        tasks_queue.put(folder)

    # Determine optimal number of workers based on CPU cores
    max_workers = min(os.cpu_count() * 2 or DEFAULT_MAX_CONCURRENT_TASKS, 32)

    def worker(folder):
        if is_paused:
            # Wait until resumed
            while is_paused:
                if stop_all_event.is_set():
                    return
                threading.Event().wait(0.1)
        # Update Treeview status to "Processing"
        progress_queue.put(("status", folder, "Processing"))
        base_name = os.path.basename(os.path.normpath(folder))
        sanitized_base = sanitize_folder_name(base_name)
        unique_output_dir = os.path.join(output_folder, f"{sanitized_base}_{base_name}")
        os.makedirs(unique_output_dir, exist_ok=True)
        try:
            # Retrieve the selected output format
            selected_format = output_format_var.get()

            # Run the video2image command with the unique output directory and selected format
            subprocess.run(
                ['video2image', '-i', folder, '-o', unique_output_dir, '-f', selected_format],
                check=True,
                stdout=subprocess.DEVNULL,
                stderr=subprocess.DEVNULL
            )
            progress_queue.put(("success", folder))
        except subprocess.CalledProcessError as e:
            error_msg = f"Failed to process folder: {folder}\nError Code: {e.returncode}"
            progress_queue.put(("error", folder, error_msg))
        except Exception as ex:
            error_msg = f"An unexpected error occurred while processing folder: {folder}\nError: {ex}"
            progress_queue.put(("error", folder, error_msg))

    # Initialize ThreadPoolExecutor
    with concurrent.futures.ThreadPoolExecutor(max_workers=max_workers) as executor:
        futures = {executor.submit(worker, tasks_queue.get()): tasks_queue.get() for _ in range(min(max_workers, tasks_queue.qsize()))}
        while futures:
            done, _ = concurrent.futures.wait(futures, return_when=concurrent.futures.FIRST_COMPLETED)
            for future in done:
                folder = futures.pop(future)
                try:
                    future.result()
                except Exception as e:
                    error_msg = f"Error processing folder: {folder}\nError: {e}"
                    progress_queue.put(("error", folder, error_msg))
                if not tasks_queue.empty() and not is_paused:
                    next_folder = tasks_queue.get()
                    futures[executor.submit(worker, next_folder)] = next_folder

    # Finalize processing
    finalize_processing(errors)

    # Start disk space monitoring
    monitor_disk_space()

def set_buttons_state(state):
    process_button.config(state=state)
    select_input_button.config(state=state)
    select_output_button.config(state=state)
    remove_button.config(state=NORMAL if input_folders and state == NORMAL else DISABLED)
    pause_button.config(state=state if state == NORMAL else DISABLED)
    resume_button.config(state=DISABLED if state == NORMAL else NORMAL)
    output_format_combobox.config(state=DISABLED if state == DISABLED else NORMAL)

def on_pause():
    global is_paused
    is_paused = True
    status_label.config(text="Processing paused.")
    pause_button.config(state=DISABLED)
    resume_button.config(state=NORMAL)

def on_resume():
    global is_paused
    is_paused = False
    status_label.config(text="Resuming processing...")
    pause_button.config(state=NORMAL)
    resume_button.config(state=DISABLED)
    # Resume task submission by re-invoking process_videos_thread
    process_videos_thread()

def monitor_disk_space():
    output_path = output_folder_var.get() or '/'
    try:
        total, used, free = psutil.disk_usage(output_path)
        if free < disk_space_threshold_mb * 1024 * 1024:
            if not is_paused:
                on_pause()
                Messagebox.show_warning("Auto-Pause", "Disk space below threshold. Processing has been paused.")
    except Exception as e:
        Messagebox.show_error("Disk Space Error", f"Unable to determine disk space for '{output_path}'.\nError: {e}")
    root.after(DISK_CHECK_INTERVAL, monitor_disk_space)

def set_disk_threshold():
    try:
        value = int(disk_threshold_entry.get())
        if value <= 0:
            raise ValueError
        global disk_space_threshold_mb
        disk_space_threshold_mb = value
        Messagebox.show_info("Threshold Set", f"Auto-pause threshold set to {value} MB.")
    except ValueError:
        Messagebox.show_error("Invalid Input", "Please enter a valid positive integer for the disk space threshold.")

def update_remove_button():
    """Enable or disable the remove button based on folder selection."""
    if input_folders:
        remove_button.config(state=NORMAL)
    else:
        remove_button.config(state=DISABLED)

def finalize_processing(errors):
    set_buttons_state(NORMAL)
    if errors:
        error_message = "\n\n".join(errors)
        Messagebox.show_error("Processing Completed with Errors", error_message)
    else:
        Messagebox.show_success("Success", "All videos have been successfully processed.")
    progress_bar['value'] = 0
    status_label.config(text="Processing completed.")

def update_progress():
    try:
        while True:
            msg = progress_queue.get_nowait()
            if msg[0] == "status":
                _, folder, status = msg
                tree.set(folder, "Status", status)
            elif msg[0] == "success":
                _, folder = msg
                tree.set(folder, "Status", "Completed")
                progress_bar['value'] += 1
            elif msg[0] == "error":
                _, folder, error_msg = msg
                tree.set(folder, "Status", "Error")
                errors.append(error_msg)
                progress_bar['value'] += 1

            # Update overall progress
            overall = progress_bar['value']
            status_label.config(text=f"Processed {overall} of {len(input_folders)} folders.")

            if overall >= len(input_folders):
                finalize_processing(errors)
    except queue.Empty:
        pass
    if progress_bar['value'] < len(input_folders):
        root.after(100, update_progress)

# Initialize the main window with ttkbootstrap
root = tb.Window(themename="darkly")
root.title(APP_NAME)
root.geometry("1100x800")
root.resizable(True, True)  # Allow resizing for better usability

# Initialize the list to store input folders
input_folders = []

# Variable to store output folder path
output_folder_var = tb.StringVar()

# Variable for disk space threshold
disk_space_threshold_mb = 500  # Default to 500 MB

# Variable for output format
output_format_var = tb.StringVar(value="jpg")  # Default to 'jpg'

# Pause state
is_paused = False

# Event to signal stopping of all tasks
stop_all_event = threading.Event()

# Configure styles using ttkbootstrap
style = tb.Style()

# Frame for Input Folders
input_frame = tb.LabelFrame(root, text="Input Folders")
input_frame.pack(fill="both", expand=True, padx=20, pady=10)

# Treeview to display selected input folders and their statuses
columns = ("Folder", "Status")
tree = tb.Treeview(input_frame, columns=columns, show='headings', selectmode='extended', height=15)
tree.heading("Folder", text="Folder")
tree.heading("Status", text="Status")
tree.column("Folder", anchor='w', width=800)
tree.column("Status", anchor='center', width=200)
tree.pack(side=tb.LEFT, fill=tb.BOTH, expand=True, padx=(0,5), pady=5)

# Scrollbar for the Treeview
tree_scroll = tb.Scrollbar(input_frame, orient=tb.VERTICAL, command=tree.yview)
tree_scroll.pack(side=tb.RIGHT, fill=tb.Y)
tree.config(yscrollcommand=tree_scroll.set)

# Frame for Input Buttons
input_button_frame = tb.Frame(root)
input_button_frame.pack(fill='x', padx=20, pady=(0,10))

# Button to select input folders
select_input_button = tb.Button(input_button_frame, text="Select Input Folders", bootstyle=PRIMARY, command=select_input_folders)
select_input_button.pack(side=tb.LEFT, padx=5)

# Button to remove selected input folders
remove_button = tb.Button(input_button_frame, text="Remove Selected", bootstyle=DANGER, command=remove_selected_folders, state=DISABLED)
remove_button.pack(side=tb.LEFT, padx=5)

# Frame for Output Folder
output_frame = tb.LabelFrame(root, text="Output Folder")
output_frame.pack(fill="both", expand=True, padx=20, pady=10)

# Entry widget to display selected output folder
output_entry = tb.Entry(output_frame, textvariable=output_folder_var, width=80, state='readonly')
output_entry.pack(side=tb.LEFT, padx=(0, 5), expand=True, fill=tb.X)

# Button to select output folder
select_output_button = tb.Button(output_frame, text="Select Output Folder", bootstyle=PRIMARY, command=select_output_folder)
select_output_button.pack(side=tb.LEFT, padx=5)

# Frame for Output Format Selection
format_frame = tb.LabelFrame(root, text="Output Format")
format_frame.pack(fill="x", expand=True, padx=20, pady=10)

format_label = tb.Label(format_frame, text="Select Output Format:")
format_label.pack(side=tb.LEFT, padx=(0,5))

output_format_combobox = tb.Combobox(format_frame, textvariable=output_format_var, values=["jpg", "png"], state="readonly")
output_format_combobox.pack(side=tb.LEFT, padx=5)
output_format_combobox.current(0)  # Set default to 'jpg'

# Frame for Disk Space Threshold
disk_frame = tb.LabelFrame(root, text="Auto-Pause Disk Space Threshold (MB)")
disk_frame.pack(fill="x", expand=True, padx=20, pady=10)

disk_threshold_entry = tb.Entry(disk_frame, width=10, justify='center')
disk_threshold_entry.insert(0, str(disk_space_threshold_mb))
disk_threshold_entry.pack(side=tb.LEFT, padx=(0,5))

set_threshold_button = tb.Button(disk_frame, text="Set Threshold", bootstyle=SUCCESS, command=set_disk_threshold)
set_threshold_button.pack(side=tb.LEFT, padx=5)

# Progress Frame with Overall Progress Bar
progress_frame = tb.Frame(root)
progress_frame.pack(fill='x', padx=20, pady=10)

progress_label = tb.Label(progress_frame, text="Overall Progress:")
progress_label.pack(anchor='w')

progress_bar = tb.Progressbar(progress_frame, orient='horizontal', length=1000, mode='determinate', bootstyle="info")
progress_bar.pack(pady=5, fill=tb.X)

# Status Label
status_label = tb.Label(root, text="Ready.", relief=RAISED, anchor='w', bootstyle="secondary")
status_label.pack(fill='x', padx=20, pady=(0,10))

# Frame for Control Buttons
control_button_frame = tb.Frame(root)
control_button_frame.pack(fill='x', padx=20, pady=10)

# Process Button
process_button = tb.Button(control_button_frame, text="Process Videos", bootstyle=SUCCESS, command=process_videos_thread)
process_button.pack(side=tb.LEFT, padx=5, ipadx=10, ipady=5)

# Pause Button
pause_button = tb.Button(control_button_frame, text="Pause", bootstyle=WARNING, command=on_pause, state=DISABLED)
pause_button.pack(side=tb.LEFT, padx=5, ipadx=10, ipady=5)

# Resume Button
resume_button = tb.Button(control_button_frame, text="Resume", bootstyle=INFO, command=on_resume, state=DISABLED)
resume_button.pack(side=tb.LEFT, padx=5, ipadx=10, ipady=5)

# Queue for inter-thread communication
progress_queue = queue.Queue()

# List to collect errors
errors = []

# Monitor changes in the input_folders list to update the remove button state
def monitor_input_folders():
    """Periodically check if input_folders is empty to enable/disable the remove button."""
    update_remove_button()
    root.after(500, monitor_input_folders)

monitor_input_folders()

# Periodically update the progress in the GUI
def periodic_update():
    update_progress()
    root.after(100, periodic_update)

periodic_update()

# Handle window closing to ensure all threads are properly terminated
def on_closing():
    stop_all_event.set()
    root.destroy()

root.protocol("WM_DELETE_WINDOW", on_closing)

# Run the GUI loop
root.mainloop()
```

### Optimizations Implemented

1. **Dynamic Adjustment of Concurrent Tasks**:
   - **Original**: `MAX_CONCURRENT_TASKS` was statically set to 4.
   - **Optimized**: The number of worker threads is dynamically determined based on the CPU cores using `os.cpu_count()`. This allows the application to utilize system resources more effectively, improving processing speed on multi-core systems.
   ```python
   max_workers = min(os.cpu_count() * 2 or DEFAULT_MAX_CONCURRENT_TASKS, 32)
   ```

2. **Subprocess Output Redirection**:
   - **Original**: Captured `stdout` and `stderr` using `subprocess.PIPE`, which can lead to unnecessary memory usage and potential blocking if the output buffers are full.
   - **Optimized**: Redirected `stdout` and `stderr` to `subprocess.DEVNULL` to bypass capturing, reducing I/O overhead and preventing potential deadlocks.
   ```python
   subprocess.run(
       ['video2image', '-i', folder, '-o', unique_output_dir, '-f', selected_format],
       check=True,
       stdout=subprocess.DEVNULL,
       stderr=subprocess.DEVNULL
   )
   ```

3. **Efficient Queue Management**:
   - **Original**: Used `root.after` with frequent polling (`100 ms`) to check the progress queue, which can introduce overhead.
   - **Optimized**: Combined progress updates into a dedicated `periodic_update` function that maintains the `100 ms` interval but can be further adjusted if needed. This ensures that the GUI remains responsive without unnecessary CPU usage.

4. **Enhanced Pause and Resume Functionality**:
   - **Original**: The `on_resume` function restarted the entire `process_videos` thread, which could lead to duplicate processing or race conditions.
   - **Optimized**: Incorporated a `stop_all_event` using `threading.Event` to gracefully handle pausing and resuming without restarting the entire processing loop. Workers check the `is_paused` flag and wait accordingly, ensuring a smooth pause and resume experience.

5. **Resource Cleanup on Window Close**:
   - **Original**: There was no mechanism to properly terminate running threads when the application window was closed.
   - **Optimized**: Added an `on_closing` function to set the `stop_all_event` and properly destroy the root window, ensuring all threads are terminated gracefully.
   ```python
   def on_closing():
       stop_all_event.set()
       root.destroy()

   root.protocol("WM_DELETE_WINDOW", on_closing)
   ```

6. **ThreadPoolExecutor Context Management**:
   - **Original**: The `ThreadPoolExecutor` was not managed using a context manager, which could lead to threads lingering after processing.
   - **Optimized**: Utilized a `with` statement to ensure that the `ThreadPoolExecutor` properly shuts down after completing all tasks.
   ```python
   with concurrent.futures.ThreadPoolExecutor(max_workers=max_workers) as executor:
       ...
   ```

7. **Minimal Global Variable Usage**:
   - **Original**: Relied heavily on global variables, which can lead to harder maintenance and potential bugs.
   - **Optimized**: Reduced the reliance on global variables where possible, enhancing code readability and maintainability.

8. **Error Handling Improvements**:
   - **Original**: Captured detailed error messages including `stderr`, which was redirected earlier.
   - **Optimized**: Provided concise error messages with the error code and exception details, ensuring that users receive meaningful feedback without unnecessary verbosity.

9. **Limit on Maximum Workers**:
   - **Original**: Allowed up to 4 concurrent tasks.
   - **Optimized**: Set an upper limit (e.g., 32) to prevent overwhelming the system, especially on machines with a high number of CPU cores.
   ```python
   max_workers = min(os.cpu_count() * 2 or DEFAULT_MAX_CONCURRENT_TASKS, 32)
   ```

10. **Preemptive Output Directory Creation**:
    - **Original**: Created output directories within each worker, adding to per-task overhead.
    - **Optimized**: Ensured that output directories are created efficiently within each worker but this aspect remains largely unchanged as it's essential per-folder.

### Additional Recommendations

1. **Batch Processing**:
   - If the `video2image` tool supports batch processing multiple folders simultaneously, consider modifying the worker function to handle multiple folders in a single subprocess call. This can significantly reduce the overhead associated with starting multiple subprocesses.

2. **Asynchronous Processing**:
   - Explore using asynchronous programming (e.g., `asyncio`) for further concurrency improvements, especially if `video2image` can be integrated in an asynchronous manner.

3. **Progress Bar Enhancements**:
   - Implement more granular progress tracking within each folder's processing, allowing for a more detailed progress bar (e.g., percentage completion per folder).

4. **Logging**:
   - Integrate a logging mechanism to keep records of processing activities, errors, and system resource usage. This can aid in debugging and performance monitoring.

5. **Resource Monitoring**:
   - Enhance disk space monitoring by providing real-time feedback and allowing users to set different thresholds for different drives if necessary.

6. **User Feedback**:
   - Provide estimated time remaining based on processing speed and number of folders, enhancing the user experience.

7. **Configuration Persistence**:
   - Save user preferences (e.g., last used folders, output format, disk space threshold) to a configuration file, allowing for a more seamless user experience across sessions.

By implementing these optimizations and recommendations, your application should exhibit improved performance, better resource utilization, and a more responsive user interface.