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-00031.parquet:34927

49af25da17027676115ae5cc
turn 3/3gpt-4o-2024-08-06RussianRussia430 words
degenerate_repetitionAbsentFinal dense release
USER
мара призналась ему в любви еще в гондоре, но вот как он мог предложить ей отправиться с ним в шир или она ему, мара понимала что путешествие закончено но сказала фродо что не может без него и не хочет. как было бы вероятнее всего. В книге фродо предложил сэму и рози жить в бек-энде, но сэм и роззи хобитты тем более старые знакмы а мара эльф их другой реальности
ASSISTANT
Если бы Марианрод призналась Фродо в любви в условиях, когда их путешествие подошло к концу и они находились в Гондоре, развитие их отношений потребовало бы деликатного подхода и взаимопонимания. Давайте рассмотрим, как Фродо мог бы отреагировать на признание и что может произойти дальше:

1. **Эмоциональное восприятие признания**:
   - Фродо, испытывающий переломное переживание благодаря этому признанию, мог бы почувствовать себя удостоенным большой чести и проникнуться глубокими переживаниями. Однако его ответ определялся бы не только его чувствами к Марианрод, но и тем, насколько он готов был вступить в новые отношения.

2. **Предложение отправиться в Шир**:
   - Фродо, только что завершивший свою миссию, мог бы задумываться о том, чтобы вернуться к чему-то, что кажется ему нормальной жизнью. Если Марианрод выразила желание быть рядом с ним, возможность предложить ей отправиться с ним в Шир могла представиться как шаг к новому началу.
   - Он мог бы чувствовать, что жизнь в Шире, с её мирными и тихими красками, могла бы предоставить обоим условия для восстановления и построения независимой от боевых действий жизни.

3. **Предложение от Марианрод**:
   - В то же время, вполне вероятно, что сама Марианрод могла бы предложить пойти с Фродо в его дом, желая стать частью его дальнейшей жизни и поддерживать его своим присутствием и любовью. Это могло бы стать символом её искренности и стремления построить совместное будущее.

4. **Размышления Фродо**:
   - Он мог бы колебаться: с одной стороны, ему хотелось вернуться к спокойствию Шира, но, с другой, он мог переживать о том, как отношения с эльфийкой из другой реальности впишутся в его настоящее окружение.
   - Требуется время для того, чтобы осознать, что они действительно могут построить новый уголок, где он может исцелить душу и обрести место в мире после всех испытаний.

5. **Потенциальная совместимость и поиск решения**:
   - Учитывая заботу и внимание, Фродо мог бы проникнуться уверенностью в том, что совместное решение может быть найдено. Возможно, они могли бы исследовать страну вместе, пытаясь понять, где они оба чувствуют себя наиболее гармонично.

В заключение, учитывая вероятность развития событий с учетом характера и опыта Фродо, он мог бы предложить или принять предложение Марианрод побыть вместе, в поисках нового начала и возможностей для роста и восстановления, которые они могли бы найти в самой сути связи между собой.

turns-00031.parquet:34928

be7527e25849453e55df5959
turn 1/1gpt-4o-2024-08-06RussianUnited States149 words
degenerate_repetitionAbsentFinal dense release
USER
Assistant: 
User: Напиши (Без котиков собачек и ТД) новость про колледж и группу ИСП-15(Информационные системы и программирование) и колледж в целом. В новости должны быть упомянуты следующие персонажи: ft.Сергей Голубев - Студент группы м-12, Артём Не Фурри - студент, Нелюбин - Преподаватель Истории, Географии. Так же должен обязательно присутствовать мем(Только с участием людей): Мьюинг - это определённое положение челюсти при котором человек выглядит как Сигма. Чтобы показать мьюинг используй смайлики :shushing_face: :deaf_person: Всё происходит В Столовой. Нужно чтобы в конце была цитата персонажа (Одного и цитата должна быть про ситуацию, не используя слово мем). Новость должна быть характера инцидента и шокировать народ. Максимум 60 слов.
Assistant:
ASSISTANT
Шок в столовой колледжа: студент группы ИСП-15 Артём Не Фурри и студент м-12 Сергей Голубев устроили "мьюинг" :shushing_face::deaf_person:, удивив преподавателя Нелюбина. Урок истории прервался, когда Нелюбин заявил: "Такого я ещё не видел на своих занятиях!" Ситуация вызвала бурное обсуждение среди студентов и преподавателей.

turns-00031.parquet:34929

ed6a334d8044386c334ff785
turn 1/1gpt-4o-2024-08-06RussianUnited States287 words
degenerate_repetitionAbsentFinal dense release
USER
Assistant: 
User: User: напиши актокликер на питоне
Assistant: Создание автокликера на Python можно реализовать с помощью библиотеки `pyautogui`, которая позволяет автоматизировать управление мышью и клавиатурой. Убедитесь, что у вас установлена эта библиотека, если нет, то вы можете установить её с помощью команды:

```bash
pip install pyautogui
```

Вот пример простого автокликера:

```python
import pyautogui
import time

def autoclicker(clicks_per_second):
    try:
        while True:
            pyautogui.click()
            time.sleep(1 / clicks_per_second)
    except KeyboardInterrupt:
        print("Автокликер остановлен.")

if __name__ == "__main__":
    clicks_per_second = int(input("Введите количество кликов в секунду: "))
    print("Начинаю кликать... Нажмите Ctrl+C для остановки.")
    autoclicker(clicks_per_second)
```

### Объяснение кода:

- Импортируем необходимые модули: `pyautogui` для управления мышью и `time` для пауз между кликами.
- Определяем функцию `autoclicker`, которая принимает параметр `clicks_per_second` (количество кликов в секунду).
- В бесконечном цикле выполняем клик левой кнопкой мыши с использованием метода `pyautogui.click()`.
- Используем функцию `time.sleep()` для установки задержки между кликами. Задержка рассчитывается как обратная величина от количества кликов в секунду.
- Добавляем обработку исключения KeyboardInterrupt (`Ctrl+C`) для возможности безопасной остановки программы.

Запустите скрипт и следуйте инструкциям на экране. Программа начнёт выполнять заданное количество кликов в секунду до тех пор, пока вы не прервёте её выполнение.

**Внимание:** Будьте осторожны при использовании автокликеров, так как они могут нарушать правила использования некоторых приложений или игр.
User: ты знаешь фильм терминатор?
Assistant:
Assistant:
ASSISTANT
Да, я знаком с фильмом "Терминатор". Это культовый научно-фантастический фильм, режиссёр которого — Джеймс Кэмерон. Первый фильм из серии "Терминатор" вышел в 1984 году. Сюжет вращается вокруг путешествия во времени и борьбы между людьми и искусственным интеллектом, известным как Скайнет, который стремится уничтожить человечество. Главными персонажами являются Сара Коннор, её сын Джон Коннор и сам Терминатор — киборг, роль которого играет Арнольд Шварценеггер. Фильм получил множество продолжений и стал одной из самых известных франшиз в жанре научной фантастики.

turns-00031.parquet:34930

4c850112848cd891ba206036
turn 1/1gpt-4o-2024-08-06RussianEgypt49 words
degenerate_repetitionAbsentFinal dense release
USER
Assistant: 
User: Какое количество потоков может быть одновременно обработано на 4 ядерном серверном процессоре с гиперпоточностью?
Assistant:
ASSISTANT
На 4-ядерном серверном процессоре с поддержкой гиперпоточности (Hyper-Threading) каждое физическое ядро может обрабатывать два потока одновременно. Это означает, что процессор с 4 физическими ядрами и гиперпоточностью может обрабатывать до 8 потоков одновременно.

turns-00031.parquet:34931

10f5e0f8acf54007209a03ed
turn 1/1gpt-4o-2024-08-06EnglishAustralia220 words
degenerate_repetitionAbsentFinal dense release
USER
what is google?
ASSISTANT
Google is a multinational technology company primarily known for its search engine. Founded in 1998 by Larry Page and Sergey Brin, Google has since expanded beyond search to offer a wide range of products and services, including:

1. **Search Engine**: The core service, providing search functionality for finding information on the internet.

2. **Advertising Services**: Platforms like Google Ads and AdSense allow businesses to advertise online and monetize content.

3. **Gmail**: A widely used email service.

4. **Google Maps**: A mapping service offering directions, street views, and location information.

5. **YouTube**: A video-sharing platform owned by Google.

6. **Google Drive**: A cloud storage service for files and documents.

7. **Google Photos**: A service for storing and sharing photos and videos.

8. **Android**: An operating system for mobile devices.

9. **Google Chrome**: A web browser.

10. **Google Workspace**: A suite of productivity tools including Google Docs, Sheets, and Slides.

11. **Google Assistant**: A virtual assistant powered by artificial intelligence.

12. **Hardware Products**: Devices like Google Pixel phones, Google Nest smart home products, and Chromecast streaming devices.

Google's parent company, Alphabet Inc., oversees its operations and investments in various other tech-related areas, such as autonomous vehicles (Waymo) and life sciences (Verily). Google is known for its innovative culture and significant influence on how we interact with technology and information.

turns-00031.parquet:34932

7c71dae5954b8c356631ecc8
turn 1/1o1-preview-2024-09-12EnglishGermany4039 words
degenerate_repetitionAbsentFinal dense release
USER
Do i need the process folder function or could it be combined with another function? Code: import ctypes
import logging
import os
import shutil
import subprocess
import threading
import time
import tkinter as tk
from collections import defaultdict
from concurrent.futures import ThreadPoolExecutor
from contextlib import contextmanager
from pathlib import Path
from queue import Queue
from tkinter import filedialog
from tkinter import ttk
from typing import Any, Callable, Dict, Iterable, List, Set, Tuple, Optional
from dataclasses import dataclass, field

import tempfile
import numpy as np
from PIL import Image, ImageOps

# --- Configuration ---

@dataclass
class SharedState:
    """Represents the shared state across the application."""
    processed_files_lock: threading.Lock = field(default_factory=threading.Lock)
    processed_files_count: int = 0
    total_files_count: int = 0
    log_message_queue: Queue = field(default_factory=Queue)
    tab_messages: Dict[str, List[str]] = field(default_factory=lambda: {
        "Log": [],
        "Black": [],
        "White": [],
        "Color": []
    })
    stop_event: threading.Event = field(default_factory=threading.Event)

class Config:
    """Configuration settings for the image processing application."""  
    SCRIPT_DIR: Path = Path(__file__).parent.resolve()
    INPUT_FOLDER: Path = Path(os.getenv('INPUT_FOLDER', SCRIPT_DIR / '1. Input'))
    OUTPUT_FOLDER: Path = Path(os.getenv('OUTPUT_FOLDER', SCRIPT_DIR / '2. Output'))
    DEFAULT_INPUT_FOLDER: Path = INPUT_FOLDER
    DEFAULT_OUTPUT_FOLDER: Path = OUTPUT_FOLDER

    # Executable Paths
    IMAGEMAGICK: Path = Path(os.getenv('IMAGEMAGICK', 'D:/Bilder/Python/0. Code/Requirements/ImageMagick.exe'))
    FFMPEG: Path = Path(os.getenv('FFMPEG', 'D:/Bilder/Python/0. Code/Requirements/ffmpeg.exe'))

    # Supported File Extensions
    AUDIO_EXTENSIONS: Set[str] = {'.mka', '.mpga', '.mp3', '.aac', '.flac', '.opus'}
    IMAGE_EXTENSIONS: Set[str] = {'.png', '.jpg', '.jpeg', '.webp'}
    VIDEO_EXTENSIONS: Set[str] = {'.mkv', '.mp4'}

    # Display and Formatting Constants
    SEPARATOR_LENGTH: int = 310
    PADDING_LENGTH: int = 82
    PROGRESS_BAR_LENGTH: int = 100

    # Default Resize Options
    DEFAULT_RESIZE_MODE: str = "Shortest Side"
    DEFAULT_RESIZE_WIDTH: int = 0
    DEFAULT_RESIZE_HEIGHT: int = 0
    DEFAULT_RESIZE_SIDE: int = 1600
    DEFAULT_RESIZE_FORMAT: str = "png"

    # Color Detection Thresholds
    COLORDIFF_THRESHOLD: int = 5
    FRACTION_COLORED_PIXELS_THRESHOLD: float = 0.03

    @classmethod
    def setup(cls) -> None:
        """Create output directory and configure logging settings."""
        cls.OUTPUT_FOLDER.mkdir(parents=True, exist_ok=True)
        logging.getLogger("PIL").setLevel(logging.WARNING)

    @classmethod
    def initialize(cls) -> SharedState:
        """Initialize configuration and return shared state."""
        cls.setup()
        return SharedState()

@contextmanager
def create_temp_folder() -> Path:
    """Yield a temporary folder within the output directory."""
    with tempfile.TemporaryDirectory(dir=Config.OUTPUT_FOLDER) as temp_dir:
        yield Path(temp_dir)

# --- Logging ---

def log_errors(error_queue):
    """Log errors from the error queue."""
    error_dict = defaultdict(list)
    while not error_queue.empty():
        file_path, error_messages = error_queue.get()
        error_dict[file_path].extend(error_messages)

    if error_dict:
        shared_state.log_message_queue.put("UPDATE_LOG")
        for file_path in sorted(error_dict.keys()):
            shared_state.log_message_queue.put(f"{file_path.resolve()}")
            shared_state.log_message_queue.put("")
            for error_message in sorted(error_dict[file_path]):
                log_error(error_message)
            shared_state.log_message_queue.put("")

def log_and_execute(choice: str, label: str, function: callable, *args):
    """Log the execution of a function and run it in a separate thread."""
    def run_in_thread():
        start_time = time.time()
        separator = '-' * Config.SEPARATOR_LENGTH
        shared_state.log_message_queue.put(f"{separator}\n{label}\n{separator}\n")

        try:
            total_files = function(*args)
        except FileNotFoundError as e:
            log_error(str(e))
            total_files = 0
        except (OSError, ValueError) as e:
            log_error(f"An error occurred during '{label}': {e}")
            total_files = 0

        end_time = time.time()
        execution_time = end_time - start_time
        
        shared_state.log_message_queue.put("")
        image_processor.write_results_to_files(Config.OUTPUT_FOLDER, choice)
        
        app.after(0, app.update_final_status, execution_time)
        app.after(0, app.update_text_area)

    thread = threading.Thread(target=run_in_thread)
    thread.start()

# --- Utility Functions ---

def log_error(message: str) -> None:
    """Log an error message to the shared state queue."""
    shared_state.log_message_queue.put(f"- {message}")

def clear_console() -> None:
    """Clear the console screen."""
    os.system('cls' if os.name == 'nt' else 'clear')

def count_image_files(folder: Path) -> int:
    """Count the number of image files in a folder and its subfolders."""
    return sum(1 for path in folder.rglob('*') if path.is_file() and path.suffix.lower() in IMAGE_EXTENSIONS)

def validate_and_load_image(path: Path) -> Optional[Image.Image]:
    """Validate and load image, return None if invalid."""
    try:
        with Image.open(path) as img:
            match img.mode:
                case 'P':
                    return img.convert('L')
                case 'L' | 'RGB' | 'RGBA':
                    return img.copy()
                case _:
                    return img.convert('RGB')
    except (OSError, ValueError) as e:
        log_error(f"Error reading image {path}: {e}")
        return None

def convert_png_to_jpg(input_path: Path, output_path: Path) -> None:
    """Convert a PNG image to JPG format."""
    try:
        with Image.open(input_path) as img:
            if img.mode not in ('RGB', 'L'):
                img = img.convert('RGB')
            
            jpg_path = output_path.with_suffix('.jpg')
            img.save(jpg_path, format='JPEG', quality=80, subsampling=0)
        
        input_path.unlink()
    except Exception as e:
        log_error(f"Error converting {input_path} to JPG: {e}")

def check_executable(executable: Path, name: str) -> None:
    """Check if a given executable is available in the system."""
    if not shutil.which(str(executable)):
        raise FileNotFoundError(f"- {name} executable not found at: {executable}")

def increment_processed_count(start_time: float, total_files: int) -> None:
    """Safely increment the processed files count and update the status."""
    with shared_state.processed_files_lock:
        shared_state.processed_files_count += 1
    update_status(start_time, shared_state.processed_files_count, total_files)

# --- Process Bar and Multithreading ---

def update_status(start_time: float, processed_count: int, total_files: int) -> None:
    """Update the application's status text with processing details."""
    elapsed_time = time.time() - start_time
    minutes, seconds = divmod(int(elapsed_time), 60)
    elapsed_time_str = f"{minutes:02d}:{seconds:02d}"

    start_time_str = time.strftime('%H:%M:%S', time.localtime(start_time))
    status_text = (
        f"Start Time: {start_time_str} - "
        f"Processed Files: {processed_count}/{total_files} - "
        f"Elapsed Time: {elapsed_time_str} Minutes"
    )
    
    padded_status_text = status_text.ljust(Config.PADDING_LENGTH)
    app.update_status_text(padded_status_text)

def update_elapsed_time(start_time: float, total_files: int, stop_event: threading.Event) -> None:
    """Continuously update the elapsed time until the stop event is set."""
    while not stop_event.is_set():
        update_status(start_time, shared_state.processed_files_count, total_files)
        time.sleep(1)

def start_elapsed_time_thread(start_time: float, total_files: int, stop_event: threading.Event) -> threading.Thread:
    """Start a thread to update the elapsed time."""
    thread = threading.Thread(
        target=update_elapsed_time,
        args=(start_time, total_files, stop_event),
        daemon=True
    )
    thread.start()
    return thread

def run_with_thread_pool(tasks: Iterable[Any], process_func: Callable[..., Any], *args) -> int:
    """Execute tasks using a thread pool, updating progress and handling errors."""
    shared_state.processed_files_count = 0
    shared_state.total_files_count = total = len(tasks)
    start_time = time.time()

    app.update_progress(0)

    stop_event = threading.Event()
    elapsed_time_thread = start_elapsed_time_thread(start_time, total, stop_event)

    try:
        with ThreadPoolExecutor() as executor:
            futures: list[Future] = [
                executor.submit(process_func, task, *args) for task in tasks
            ]

            for index, future in enumerate(futures, start=1):
                if shared_state.stop_event.is_set():
                    for f in futures:
                        f.cancel()
                    break
                try:
                    future.result()
                except Exception as e:
                    log_error(f"Error during processing: {e}")
                finally:
                    progress = (index / total) * 100
                    app.update_progress(progress)
    finally:
        stop_event.set()
        elapsed_time_thread.join()

    return total

# --- Color Detection And Adjustment ---

def is_color_image(
    img: np.ndarray,
    diff_threshold: int = Config.COLORDIFF_THRESHOLD,
    fraction_threshold: float = Config.FRACTION_COLORED_PIXELS_THRESHOLD
) -> bool:
    """Determine if an image is color based on RGB channel differences."""
    # Check if the image has three channels (RGB)
    if img.ndim != 3 or img.shape[2] != 3:
        return False

    # Calculate the peak-to-peak (max - min) difference across the RGB channels for each pixel
    max_diff = np.ptp(img, axis=2)

    # Compute the fraction of pixels where the max difference exceeds the threshold
    fraction_colored = np.mean(max_diff > diff_threshold)

    # Determine if the image meets or exceeds the required fraction of colored pixels
    return fraction_colored >= fraction_threshold

def adjust_values(img: np.ndarray) -> Tuple[np.ndarray, int, int]:
    """Adjust the values of a grayscale image."""
    try:
        # Calculate modal white value in the range [250, 256)
        hist_white, bins_white = np.histogram(img[img >= 250], bins=6, range=(250, 256))
        modal_white = int(bins_white[np.argmax(hist_white)])

        # Calculate modal black value in the range [0, 61)
        hist_black, bins_black = np.histogram(img[img < 61], bins=61, range=(0, 61))
        modal_black = int(bins_black[np.argmax(hist_black)])

        # Convert image to float for processing
        adjusted = img.astype(np.float64)

        # Scale image if modal white is not at maximum intensity
        if modal_white != 255:
            adjusted *= 255.0 / modal_white
            adjusted = np.clip(adjusted, 0, 255)

        # Adjust image based on modal black value
        if modal_black:
            adjusted = (adjusted - modal_black) * (255.0 / (255 - modal_black))
            adjusted = np.clip(adjusted, 0, 255)

            gamma = 1.0 - (modal_black / 255.0)
            adjusted = np.power(adjusted / 255.0, gamma) * 255

            # Preserve original extreme values
            adjusted[img == 0] = 0
            adjusted[img == 255] = 255

        # Convert back to unsigned 8-bit integer
        adjusted = adjusted.astype(np.uint8)

        return adjusted, modal_black, modal_white

    except ValueError as e:
        log_error(f"Error adjusting values for image: {e}")
        return img, 0, 255

# --- Image Analysis ---

def analyze_images(image_processor: 'ImageProcessor') -> None:
    """Analyze images in the input folder for color properties."""
    image_processor.reset_results()
    image_files = [
        path for path in Config.INPUT_FOLDER.rglob('*')
        if path.is_file() and path.suffix.lower() in Config.IMAGE_EXTENSIONS
    ]

    if not image_files:
        log_error(f"No image files found in '{Config.INPUT_FOLDER}'")
        return

    with create_temp_folder() as temp_folder:
        start_time = time.time()
        run_with_thread_pool(image_files, analyze_file, start_time, len(image_files))

def analyze_file(path: Path, start_time: float, total: int) -> None:
    """Analyze an image to classify it as color or grayscale."""
    img = validate_and_load_image(path)
    if img is None:
        return

    try:
        img_array = np.array(img)
        subfolder = path.parent.relative_to(Config.INPUT_FOLDER).as_posix()
        filename = path.name

        if is_color_image(img_array):
            image_processor.color_results[subfolder].append(filename)
        else:
            adjusted, modal_black, modal_white = adjust_values(img_array)
            if modal_black:
                image_processor.black_results[subfolder].append((filename, modal_black))
            if modal_white != 255:
                image_processor.white_results[subfolder].append((filename, modal_white))
    except (OSError, ValueError) as e:
        log_error(f"Error processing image {path}: {e}")
    finally:
        increment_processed_count(start_time, total)

def find_color_images(image_processor: "ImageProcessor") -> None:
    """Find and move color images to the output folder."""
    image_processor.reset_results()
    image_extensions: set[str] = {ext.lower() for ext in Config.IMAGE_EXTENSIONS}

    tasks: list[Path]
    if not (tasks := [
        path
        for path in Config.INPUT_FOLDER.rglob("*")
        if path.is_file() and path.suffix.lower() in image_extensions
    ]):
        log_error(f"No image files found in '{Config.INPUT_FOLDER}'")
        return

    with create_temp_folder():
        run_with_thread_pool(
            tasks, move_color_image_file, time.time(), len(tasks), image_processor
        )

def move_color_image_file(path: Path, start_time: float, total_files: int, image_processor: 'ImageProcessor') -> None:
    """Move a color image file to the output folder and update processing status."""
    img = validate_and_load_image(path)
    if img is None:
        with shared_state.processed_files_lock:
            shared_state.processed_files_count += 1
        update_status(start_time, shared_state.processed_files_count, total_files)
        return

    try:
        img_array = np.array(img)
        if is_color_image(img_array):
            rel_path = path.relative_to(Config.INPUT_FOLDER)
            out_path = Config.OUTPUT_FOLDER / rel_path
            out_path.parent.mkdir(parents=True, exist_ok=True)
            shutil.move(str(path), str(out_path))

            subfolder = str(path.parent.relative_to(Config.INPUT_FOLDER))
            image_processor.color_results[subfolder].append(path.name)
    except (OSError, ValueError) as e:
        log_error(f"Error processing image {path}: {e}")
    finally:
        increment_processed_count(start_time, total_files)

# --- Corrupted Files ---

def check_for_corrupted_files() -> None:
    """Check for corrupted files in the input folder using FFmpeg."""
    image_processor.reset_results()

    try:
        check_executable(Config.FFMPEG, "FFmpeg")
    except FileNotFoundError as error:
        log_error(str(error))
        return

    valid_extensions: set[str] = (
        Config.VIDEO_EXTENSIONS 
        | Config.AUDIO_EXTENSIONS 
        | Config.IMAGE_EXTENSIONS
    )
    tasks: List[Path] = [
        file
        for file in Config.INPUT_FOLDER.rglob("*")
        if file.is_file() and file.suffix.lower() in valid_extensions
    ]

    if not tasks:
        log_error(f"No valid media files found in '{Config.INPUT_FOLDER}'")
        return

    error_queue: Queue[Tuple[Path, List[str]]] = Queue()
    start_time: float = time.time()
    total_files: int = len(tasks)

    def check_file(file_path: Path) -> None:
        try:
            base_command: List[str] = [
                str(Config.FFMPEG),
                "-v", "error",
                "-i", str(file_path)
            ]
            if file_path.suffix.lower() in Config.VIDEO_EXTENSIONS:
                base_command += ["-map", "0:a:0"]
            base_command += ["-f", "null", "-"]

            result: subprocess.CompletedProcess = subprocess.run(
                base_command,
                capture_output=True,
                text=True,
                encoding="utf-8",
                errors="ignore"
            )
            combined_output: str = f"{result.stdout}\n{result.stderr}"
            error_messages: List[str] = [
                line.strip()
                for line in combined_output.splitlines()
                if "error" in line.lower()
            ]

            if error_messages:
                error_queue.put((file_path.resolve(), error_messages))
        except Exception as e:
            error_queue.put((file_path.resolve(), [f"Error processing file {file_path}: {e}"]))
        finally:
            increment_processed_count(start_time, total_files)

    run_with_thread_pool(tasks, check_file)
    log_errors(error_queue)

# --- Resize Images ---

def resize_images(input_folder: Path, output_folder: Path, image_processor: 'ImageProcessor'):
    """Resize images in the input folder and save them to the output folder."""
    try:
        check_executable(Config.IMAGEMAGICK, "ImageMagick")
    except FileNotFoundError as e:
        log_error(str(e))
        return

    tasks = [input_path for input_path in input_folder.rglob('*') 
             if input_path.is_file() and input_path.suffix.lower() in Config.IMAGE_EXTENSIONS]

    if not tasks:
        log_error(f"No image files found in '{input_folder}'")
        return

    with create_temp_folder() as temp_folder:
        try:
            run_with_thread_pool(tasks, process_file, time.time(), len(tasks), image_processor, temp_folder, True)
        finally:
            pass

def resize_image(input_path: Path, output_path: Path) -> Path:
    """Resize an image using ImageMagick."""
    output_path = output_path.with_suffix('.png')
    
    identify_command = [
        str(Config.IMAGEMAGICK),
        str(input_path),
        '-format', '%wx%h',
        'info:'
    ]
    try:
        result = subprocess.run(
            identify_command, 
            stdout=subprocess.PIPE, 
            stderr=subprocess.PIPE, 
            text=True, 
            check=True
        )
        current_width, current_height = map(int, result.stdout.strip().split('x'))
    except subprocess.CalledProcessError as e:
        log_error(f"ImageMagick identify failed for {input_path}: {e.stderr.strip()}")
        return output_path

    resize_mode = app.RESIZE_MODE.get()
    maintain_aspect = app.maintain_aspect_ratio.get()
    
    if resize_mode == "Fit":
        target_width = int(app.RESIZE_WIDTH.get() or 0)
        target_height = int(app.RESIZE_HEIGHT.get() or 0)
        
        if maintain_aspect:
            if target_width == 0 and target_height > 0:
                target_width = int(target_height * current_width / current_height)
            elif target_height == 0 and target_width > 0:
                target_height = int(target_width * current_height / current_width)
        
        resize_arg = f'{target_width}x{target_height}!'
    else:  # Shortest Side
        target_size = int(app.RESIZE_SIDE.get())
        resize_arg = f'{target_size}x{target_size}^'

    is_upscaling = (
        (resize_mode == "Fit" and (target_width > current_width or target_height > current_height)) or
        (resize_mode == "Shortest Side" and target_size > min(current_width, current_height))
    )

    command = [
        str(Config.IMAGEMAGICK),
        str(input_path),
    ]
    
    if is_upscaling:
        command += [
            '-filter', 'LanczosSharp',
            '-distort', 'Resize', resize_arg,
        ]
    else:
        command += [
            '-colorspace', 'RGB',
            '-filter', 'Lanczos2Sharp',
            '-resize', resize_arg,
            '-colorspace', 'sRGB',
        ]
    
    command += [
        '-define', 'png:compression-level=5',
        str(output_path)
    ]
    
    try:
        result = subprocess.run(
            command,
            stdout=subprocess.PIPE,
            stderr=subprocess.PIPE,
            text=True,
            check=True
        )
        if result.stderr:
            log_error(f"ImageMagick: {result.stderr.strip()}")
    except subprocess.CalledProcessError as e:
        log_error(f"ImageMagick resize failed for {input_path}: {e.stderr.strip()}")
    
    return output_path

# --- Processing ---

def process_file(
    path: Path,
    start_time,
    total_files,
    image_processor: 'ImageProcessor',
    temp_folder: Path,
    resize=False,
    auto_correct_and_resize=False
) -> None:
    """Process a single image file."""
    if shared_state.stop_event.is_set():
        return

    img = validate_and_load_image(path)
    if img is None:
        log_error(f"Invalid image file: {path}")
        with shared_state.processed_files_lock:
            shared_state.processed_files_count += 1
        update_status(start_time, shared_state.processed_files_count, total_files)
        return

    try:
        img_array = np.array(img)
    except (OSError, ValueError) as e:
        log_error(f"Error reading image {path}: {e}")
        with shared_state.processed_files_lock:
            shared_state.processed_files_count += 1
        update_status(start_time, shared_state.processed_files_count, total_files)
        return

    relative_path = path.relative_to(Config.INPUT_FOLDER)
    temp_output_path = temp_folder / relative_path.with_suffix('.png')
    temp_output_path.parent.mkdir(parents=True, exist_ok=True)

    if auto_correct_and_resize:
        # Adjust and save image, then resize
        intermediate_path, _, _ = adjust_and_save_image(img_array, path, image_processor, temp_folder)
        temp_output_path = resize_image(intermediate_path, temp_output_path)
    elif resize:
        # Only resize the original image
        temp_output_path = resize_image(path, temp_output_path)
    else:
        # Adjust and save image without resizing
        temp_output_path, _, _ = adjust_and_save_image(img_array, path, image_processor, temp_folder)

    final_output_path = Config.OUTPUT_FOLDER / relative_path.with_suffix(
        '.jpg' if app.RESIZE_FORMAT.get() == 'jpg' else '.png'
    )
    final_output_path.parent.mkdir(parents=True, exist_ok=True)

    if app.RESIZE_FORMAT.get() == 'jpg':
        convert_png_to_jpg(temp_output_path, final_output_path)
    else:
        shutil.move(str(temp_output_path), str(final_output_path))

    increment_processed_count(start_time, total_files)

def process_folder(folder: Path, image_processor: 'ImageProcessor', auto_correct_and_resize=False) -> None:
    """Process all images in a folder."""
    image_processor.reset_results()

    if auto_correct_and_resize:
        try:
            check_executable(Config.IMAGEMAGICK, "ImageMagick")
        except FileNotFoundError as e:
            log_error(str(e))
            return

    tasks = [path for path in folder.rglob('*') 
             if path.is_file() and path.suffix.lower() in Config.IMAGE_EXTENSIONS]

    if not tasks:
        log_error(f"No image files found in '{folder}'")
        return

    with create_temp_folder() as temp_folder:
        try:
            run_with_thread_pool(tasks, process_file, time.time(), len(tasks), image_processor, temp_folder, False, auto_correct_and_resize)
        finally:
            pass

def adjust_and_save_image(
    img: np.ndarray,
    path: Path,
    image_processor: 'ImageProcessor',
    temp_folder: Path,
    diff_threshold: int = Config.COLORDIFF_THRESHOLD,
    fraction_threshold: float = Config.FRACTION_COLORED_PIXELS_THRESHOLD
) -> Tuple[Path, Optional[int], Optional[int]]:
    """Process an image, adjusting and saving depending on whether it is color or grayscale."""
    try:
        is_color = is_color_image(img, diff_threshold, fraction_threshold)
        relative_parent = path.parent.relative_to(Config.INPUT_FOLDER)
        out_path = temp_folder / relative_parent / f"{path.stem}.png"
        out_path.parent.mkdir(parents=True, exist_ok=True)
        subfolder = relative_parent.as_posix()
        filename = path.name

        if is_color:
            # Save color image as PNG
            Image.fromarray(img).save(out_path, format='PNG', compress_level=5)
            image_processor.color_results[subfolder].append(filename)
            return out_path, None, None
        else:
            # Adjust grayscale values
            adjusted_img, modal_black, modal_white = adjust_values(img)
            Image.fromarray(adjusted_img).convert('L').save(out_path, format='PNG', compress_level=5)
            if modal_black:
                image_processor.black_results[subfolder].append((filename, modal_black))
            if modal_white != 255:
                image_processor.white_results[subfolder].append((filename, modal_white))
            return out_path, modal_black, modal_white

    except (OSError, ValueError) as e:
        log_error(f"Error processing image {path}: {e}")
        return path, None, None

# --- ImageProcessor Class ---

class ImageProcessor:
    """Class to handle image processing results."""
    def __init__(self):
        self.white_results = defaultdict(list)
        self.black_results = defaultdict(list)
        self.color_results = defaultdict(list)

    def write_results_to_files(self, output_folder: Path, choice: str):
        """Write processing results to files."""
        results_map = {
            '2': ("2. Analyze Images", "Modal Value Black", "Modal Value White"),
            '3': ("3. Find Color Images", "Filename"),
            '5': ("5. Automatic Color Correction", "Modal Value Black", "Modal Value White"),
            '6': ("6. Automatic Color Correction + Resize", "Modal Value Black", "Modal Value White")
        }
        headers = results_map.get(choice)
        if headers:
            if choice == '3':
                self._write_results("Color", self.color_results, headers[0], headers[1])
            else:
                self._write_results("Black", self.black_results, headers[0], headers[1])
                self._write_results("White", self.white_results, headers[0], headers[2])
                self._write_results("Color", self.color_results, headers[0], "Filename")

    def _write_results(self, file_path: str, results: Dict[str, List[Tuple[str, int]]], header: str,
                       value_name: str):
        """Write results to a specific file."""
        separator = '-' * Config.SEPARATOR_LENGTH
        content = f"{separator}\n{header}\n{separator}\n"
        if results:
            for subfolder, subfolder_results in sorted(results.items()):
                full_subfolder_path = Config.INPUT_FOLDER / subfolder
                content += f"\n{full_subfolder_path}\n\n"
                if value_name == "Filename":
                    subfolder_results.sort()
                    content += '\n'.join(f" - {filename}" for filename in subfolder_results)
                else:
                    subfolder_results.sort(key=lambda x: x[1], reverse=True)
                    content += '\n'.join(
                        f" - {filename}, {value_name}: {value}" for filename, value in subfolder_results)
                content += "\n"
        shared_state.tab_messages[file_path].append(content)

    def reset_results(self):
        """Reset all results."""
        self.white_results = defaultdict(list)
        self.black_results = defaultdict(list)
        self.color_results = defaultdict(list)

# --- Tkinter App ---

class App(tk.Tk):
    def __init__(self):
        super().__init__()
        self.setup_window()
        self.create_variables()
        self.create_widgets()
        self.setup_logging()
        self.process_start_time = 0

    def setup_window(self):
        self.set_dpi_awareness()
        self.title("Image Processor")
        self.geometry("2100x1180")
        self.default_font = ("Roboto Flex", 16)
        self.apply_default_font()

    def set_dpi_awareness(self):
        try:
            ctypes.windll.shcore.SetProcessDpiAwareness(1)
        except Exception as e:
            print(f"Could not set DPI awareness: {e}")

    def apply_default_font(self):
        self.option_add("*Font", self.default_font)
        self.style = ttk.Style()
        for widget_type in ["TButton", "TLabel", "TEntry", "TRadiobutton", "TNotebook.Tab"]:
            self.style.configure(widget_type, font=self.default_font)
        self.style.configure("TFrame", background="#fdfdfd")
        self.style.configure("TLabel", background="#fdfdfd")
        self.style.configure("TNotebook", background="#f8f8f8")
        self.style.configure("TRadiobutton", background="#fdfdfd")

    def create_variables(self):
        self.RESIZE_MODE = tk.StringVar(value=Config.DEFAULT_RESIZE_MODE)
        self.RESIZE_WIDTH = tk.StringVar(value=str(Config.DEFAULT_RESIZE_WIDTH))
        self.RESIZE_HEIGHT = tk.StringVar(value=str(Config.DEFAULT_RESIZE_HEIGHT))
        self.RESIZE_SIDE = tk.StringVar(value=str(Config.DEFAULT_RESIZE_SIDE))
        self.RESIZE_FORMAT = tk.StringVar(value=Config.DEFAULT_RESIZE_FORMAT)
        self.option_var = tk.StringVar(value="4")
        self.status_text = tk.StringVar(value="")

    def create_widgets(self):
        main_frame = ttk.Frame(self, padding="20")
        main_frame.pack(fill=tk.BOTH, expand=True)

        self.create_folder_selection_frames(main_frame)
        self.create_resize_options_frame(main_frame)
        self.create_options_and_start_frame(main_frame)
        self.create_text_frame(main_frame)
        self.create_progress_bar(main_frame)
        self.create_status_label(main_frame)

    def create_folder_selection_frames(self, parent):
        self.create_folder_frame(parent, "Input", Config.INPUT_FOLDER, self.set_default_input, self.select_input_folder)
        self.create_folder_frame(parent, "Output", Config.OUTPUT_FOLDER, self.set_default_output, self.select_output_folder)

    def create_folder_frame(self, parent, label, default_folder, default_command, select_command):
        frame = ttk.Frame(parent)
        frame.pack(fill=tk.X, pady=(0, 10))

        ttk.Button(frame, text="Default", command=default_command, width=10).pack(side=tk.LEFT, padx=(0, 10))

        entry = ttk.Entry(frame)
        entry.insert(0, str(default_folder))
        entry.pack(side=tk.LEFT, expand=True, fill=tk.X)

        ttk.Button(frame, text=f"Select {label} Folder", command=select_command, width=20).pack(side=tk.LEFT, padx=(10, 0))

        setattr(self, f"{label.lower()}_entry", entry)

    def create_resize_options_frame(self, parent):
        resize_frame = ttk.Frame(parent)
        resize_frame.pack(fill=tk.X, pady=(0, 10))

        ttk.Button(resize_frame, text="Default", command=self.reset_resize_options, width=10).pack(side=tk.LEFT, padx=(0, 10))

        self.create_resize_options(resize_frame)

        self.start_button = ttk.Button(resize_frame, text="Start", command=self.start_processing, width=20)
        self.start_button.pack(side=tk.RIGHT, padx=(10, 0))

    def create_resize_options(self, frame):
        ttk.Label(frame, text="Format:").pack(side=tk.LEFT, padx=(0, 5))
        ttk.Combobox(frame, textvariable=self.RESIZE_FORMAT, values=["png", "jpg"], state="readonly", width=4).pack(side=tk.LEFT, padx=(0, 10))

        ttk.Label(frame, text="Resize:").pack(side=tk.LEFT, padx=(0, 5))
        mode_combo = ttk.Combobox(frame, textvariable=self.RESIZE_MODE, values=["Shortest Side", "Fit"], state="readonly", width=12)
        mode_combo.pack(side=tk.LEFT, padx=(0, 10))
        mode_combo.bind("<<ComboboxSelected>>", self.update_resize_options)

        self.width_label = ttk.Label(frame, text="Width:")
        self.width_entry = ttk.Entry(frame, textvariable=self.RESIZE_WIDTH, width=5)
        self.height_label = ttk.Label(frame, text="Height:")
        self.height_entry = ttk.Entry(frame, textvariable=self.RESIZE_HEIGHT, width=5)
        self.maintain_aspect_ratio = tk.BooleanVar(value=False)
        self.maintain_aspect_ratio_label = ttk.Label(frame, text="Maintain Aspect Ratio", font=self.default_font) 
        self.maintain_aspect_ratio_checkbox = ttk.Checkbutton(frame, variable=self.maintain_aspect_ratio)
        self.side_label = ttk.Label(frame, text="Side:")
        self.side_entry = ttk.Entry(frame, textvariable=self.RESIZE_SIDE, width=5)

        self.update_resize_options()

    def create_options_and_start_frame(self, parent):
        frame = ttk.Frame(parent)
        frame.pack(fill=tk.X, pady=(0, 10))

        self.create_options_frame(frame)
        self.create_stop_button(frame)

    def create_options_frame(self, parent):
        options_frame = ttk.Frame(parent)
        options_frame.pack(side=tk.LEFT, fill=tk.X, expand=True)

        options = [
            ("Check For Corrupted Files", "4"),
            ("Analyze Images", "2"),
            ("Find Color Images", "3"),
            ("Resize Images", "1"),
            ("Automatic Color Correction", "5"),
            ("Automatic Color Correction + Resize", "6")
        ]

        for col, (text, value) in enumerate(options):
            ttk.Radiobutton(options_frame, text=text, variable=self.option_var, value=value).grid(row=0, column=col, sticky="ew")
            options_frame.columnconfigure(col, weight=1)

    def create_stop_button(self, parent):
        self.stop_button = ttk.Button(parent, text="Stop", command=self.stop_processing, width=20, state=tk.DISABLED)
        self.stop_button.pack(side=tk.RIGHT, padx=(10, 0))

    def create_text_frame(self, parent):
        text_frame = ttk.Frame(parent)
        text_frame.pack(fill=tk.BOTH, expand=True)

        self.notebook = ttk.Notebook(text_frame)
        self.notebook.pack(fill=tk.BOTH, expand=True)

        self.text_areas = {}
        for tab in ["Log", "Black", "White", "Color"]:
            frame = ttk.Frame(self.notebook)
            self.notebook.add(frame, text=tab)
            self.text_areas[tab] = self.create_text_area(frame)

    def create_text_area(self, parent):
        frame = ttk.Frame(parent)
        frame.pack(fill=tk.BOTH, expand=True)

        text_area = tk.Text(frame, wrap=tk.NONE, bg="#ffffff", state='disabled', padx=7, pady=7, fg="#000000", font=self.default_font)
        scrollbar_y = ttk.Scrollbar(frame, command=text_area.yview)
        scrollbar_x = ttk.Scrollbar(frame, command=text_area.xview, orient='horizontal')

        scrollbar_y.pack(side=tk.RIGHT, fill=tk.Y)
        text_area.pack(side=tk.TOP, fill=tk.BOTH, expand=True)
        scrollbar_x.pack(side=tk.BOTTOM, fill=tk.X)

        text_area.config(yscrollcommand=scrollbar_y.set, xscrollcommand=scrollbar_x.set)
        return text_area

    def create_progress_bar(self, parent):
        self.progress = ttk.Progressbar(parent, mode="determinate", maximum=Config.PROGRESS_BAR_LENGTH)
        self.progress.pack(pady=(30, 0), padx=20, fill="x")
        self.progress.config(value=0)

    def create_status_label(self, parent):
        ttk.Label(parent, textvariable=self.status_text).pack(pady=(10, 15))

    def setup_logging(self):
        self.queue_thread = threading.Thread(target=self.update_text_area_from_queue, daemon=True)
        self.queue_thread.start()

    def set_default_folder(self, entry, default_folder):
        entry.delete(0, tk.END)
        entry.insert(0, str(default_folder))
        return Path(default_folder)

    def set_default_input(self):
        Config.INPUT_FOLDER = self.set_default_folder(self.input_entry, Config.DEFAULT_INPUT_FOLDER)

    def set_default_output(self):
        Config.OUTPUT_FOLDER = self.set_default_folder(self.output_entry, Config.DEFAULT_OUTPUT_FOLDER)

    def select_folder(self, entry: ttk.Entry, config_attr: str) -> None:
        selected_folder = filedialog.askdirectory()
        if selected_folder:
            path = Path(selected_folder).resolve()
            entry.delete(0, tk.END)
            entry.insert(0, str(path))
            setattr(Config, config_attr, path)

    def select_input_folder(self):
        self.select_folder(self.input_entry, 'INPUT_FOLDER')

    def select_output_folder(self):
        self.select_folder(self.output_entry, 'OUTPUT_FOLDER')

    def update_status_text(self, text):
        self.status_text.set(text)
        self.update_idletasks()

    def update_progress(self, value):
        self.progress['value'] = min(value, Config.PROGRESS_BAR_LENGTH)
        self.update_idletasks()

    def update_text_area(self, content_key=None, message=None):
        for tab_key, text_area in self.text_areas.items():
            text_area.configure(state='normal')
            text_area.delete("1.0", tk.END)
            content = "\n".join(shared_state.tab_messages[tab_key])
            text_area.insert(tk.END, content)
            text_area.configure(state='disabled')

    def start_processing(self):
        shared_state.stop_event.clear()
        self.start_button.config(state=tk.DISABLED)
        self.stop_button.config(state=tk.NORMAL)
        self.process_start_time = time.time()
        if hasattr(self, 'stopped_by_user'):
            delattr(self, 'stopped_by_user')
        choice = self.option_var.get()

        actions = {
            "1": ("1. Resize Images", resize_images, Config.INPUT_FOLDER, Config.OUTPUT_FOLDER, image_processor),
            "2": ("2. Analyze Images", analyze_images, image_processor),
            "3": ("3. Find Color Images", find_color_images, image_processor),
            "4": ("4. Check For Corrupted Files", check_for_corrupted_files),
            "5": ("5. Automatic Color Correction", process_folder, Config.INPUT_FOLDER, image_processor),
            "6": ("6. Automatic Color Correction + Resize", process_folder, Config.INPUT_FOLDER, image_processor, True),
        }

        label, func, *args = actions.get(choice, ("Unknown Action", lambda: None))
        log_and_execute(choice, label, func, *args)

    def stop_processing(self):
        shared_state.stop_event.set()
        self.stopped_by_user = True
        self.stop_button.config(state=tk.DISABLED)
        self.start_button.config(state=tk.NORMAL)

    def update_resize_options(self, event=None):
        mode = self.RESIZE_MODE.get()
        if mode == "Fit":
            self.side_label.pack_forget()
            self.side_entry.pack_forget()
            self.width_label.pack(side=tk.LEFT, padx=(10, 5))
            self.width_entry.pack(side=tk.LEFT, padx=(0, 10))
            self.height_label.pack(side=tk.LEFT, padx=(0, 5))
            self.height_entry.pack(side=tk.LEFT, padx=(0, 10))
            self.maintain_aspect_ratio_label.pack(side=tk.LEFT, padx=(10, 0))
            self.maintain_aspect_ratio_checkbox.pack(side=tk.LEFT, padx=(0, 10))
        else:  # Shortest Side
            self.width_label.pack_forget()
            self.width_entry.pack_forget()
            self.height_label.pack_forget()
            self.height_entry.pack_forget()
            self.maintain_aspect_ratio_checkbox.pack_forget()
            self.maintain_aspect_ratio_label.pack_forget()
            self.side_label.pack(side=tk.LEFT, padx=(10, 5))
            self.side_entry.pack(side=tk.LEFT, padx=(0, 10))

    def reset_resize_options(self):
        self.RESIZE_MODE.set(Config.DEFAULT_RESIZE_MODE)
        self.RESIZE_WIDTH.set(str(Config.DEFAULT_RESIZE_WIDTH))
        self.RESIZE_HEIGHT.set(str(Config.DEFAULT_RESIZE_HEIGHT))
        self.RESIZE_SIDE.set(str(Config.DEFAULT_RESIZE_SIDE))
        self.RESIZE_FORMAT.set(Config.DEFAULT_RESIZE_FORMAT)
        self.update_resize_options()

    def update_text_area_from_queue(self):
        while True:
            if not shared_state.log_message_queue.empty():
                try:
                    item = shared_state.log_message_queue.get(block=True, timeout=0.1)
                    self.process_log_message(item)
                except:
                    pass
            else:
                time.sleep(0.1)

    def process_log_message(self, item):
        update_tabs = {"UPDATE_LOG": "Log", "UPDATE_BLACK": "Black", "UPDATE_WHITE": "White", "UPDATE_COLOR": "Color"}
        if item in update_tabs:
            self.after(0, self.update_text_area, update_tabs[item])
        else:
            self.update_tab_messages(item)

    def update_tab_messages(self, item):
        if "Modal Value Black" in item:
            shared_state.tab_messages["Black"].append(item)
        if "Modal Value White" in item:
            shared_state.tab_messages["White"].append(item)
        if "Filename" in item:
            shared_state.tab_messages["Color"].append(item)
        shared_state.tab_messages["Log"].append(item)

        for tab in ["Log", "Black", "White", "Color"]:
            self.after(0, self.update_text_area, tab)

    def update_final_status(self, execution_time):
        self.update_progress(100)
        end_time = time.time()
        start_time = self.process_start_time
        processed_count = shared_state.processed_files_count
        total_files = shared_state.total_files_count

        start_time_str = time.strftime('%H:%M:%S', time.localtime(start_time))
        elapsed_minutes = int(execution_time // 60)
        elapsed_seconds = int(execution_time % 60)
        elapsed_time_str = f"{elapsed_minutes:02d}:{elapsed_seconds:02d}"

        status_text = (
            f"Start Time: {start_time_str} - "
            f"Processed Files: {processed_count}/{total_files} - "
            f"Elapsed Time: {elapsed_time_str} Minutes"
        )
    
        if hasattr(self, 'stopped_by_user') and self.stopped_by_user:
            status_text += " - Processing stopped by user"
            delattr(self, 'stopped_by_user')

        padded_status_text = status_text.ljust(Config.PADDING_LENGTH)
        self.update_status_text(padded_status_text)
        self.reset_gui()

    def reset_gui(self):
        self.start_button.config(state=tk.NORMAL)
        self.stop_button.config(state=tk.DISABLED)

# --- Main Execution ---

if __name__ == "__main__":
    shared_state = Config.initialize()
    image_processor = ImageProcessor()
    app = App()
    app.mainloop()
ASSISTANT
Yes, you can combine the `process_folder` function with another function to reduce redundancy and make your code cleaner. Specifically, the `process_folder` function and the `resize_images` function have similar structures and purposes—they both process images in a folder and use the `process_file` function to handle individual files.

By refactoring these functions, you can create a more generic function that handles the processing of images with different options, such as resizing, auto-correction, or both. Below, I will guide you through the steps to combine these functions effectively.

### Understanding the Current Structure

First, let's look at the existing `process_folder` and `resize_images` functions:

**`process_folder` Function:**

```python
def process_folder(
    folder: Path,
    image_processor: 'ImageProcessor',
    auto_correct_and_resize=False
) -> None:
    """Process all images in a folder."""
    image_processor.reset_results()

    if auto_correct_and_resize:
        try:
            check_executable(Config.IMAGEMAGICK, "ImageMagick")
        except FileNotFoundError as e:
            log_error(str(e))
            return

    tasks = [path for path in folder.rglob('*') 
             if path.is_file() and path.suffix.lower() in Config.IMAGE_EXTENSIONS]

    if not tasks:
        log_error(f"No image files found in '{folder}'")
        return

    with create_temp_folder() as temp_folder:
        try:
            run_with_thread_pool(
                tasks,
                process_file,
                time.time(),
                len(tasks),
                image_processor,
                temp_folder,
                resize=False,
                auto_correct_and_resize=auto_correct_and_resize
            )
        finally:
            pass
```

**`resize_images` Function:**

```python
def resize_images(
    input_folder: Path,
    output_folder: Path,
    image_processor: 'ImageProcessor'
):
    """Resize images in the input folder and save them to the output folder."""
    try:
        check_executable(Config.IMAGEMAGICK, "ImageMagick")
    except FileNotFoundError as e:
        log_error(str(e))
        return

    tasks = [input_path for input_path in input_folder.rglob('*') 
             if input_path.is_file() and input_path.suffix.lower() in Config.IMAGE_EXTENSIONS]

    if not tasks:
        log_error(f"No image files found in '{input_folder}'")
        return

    with create_temp_folder() as temp_folder:
        try:
            run_with_thread_pool(
                tasks,
                process_file,
                time.time(),
                len(tasks),
                image_processor,
                temp_folder,
                resize=True
            )
        finally:
            pass
```

As you can see, both functions:

- Collect image file paths from a folder.
- Check for the presence of ImageMagick if needed.
- Utilize `run_with_thread_pool` to process the images using the `process_file` function.
- Differ primarily in the parameters passed to `process_file`.

### Combining the Functions

To combine these functions, you can create a single, more general function called `process_images_in_folder` that accepts parameters to control the behavior (e.g., whether to resize, auto-correct, or both):

```python
def process_images_in_folder(
    folder: Path,
    image_processor: 'ImageProcessor',
    resize=False,
    auto_correct=False
) -> None:
    """Process all images in a folder with specified options."""
    image_processor.reset_results()

    if resize or auto_correct:
        try:
            check_executable(Config.IMAGEMAGICK, "ImageMagick")
        except FileNotFoundError as e:
            log_error(str(e))
            return

    tasks = [path for path in folder.rglob('*') 
             if path.is_file() and path.suffix.lower() in Config.IMAGE_EXTENSIONS]

    if not tasks:
        log_error(f"No image files found in '{folder}'")
        return

    with create_temp_folder() as temp_folder:
        try:
            run_with_thread_pool(
                tasks,
                process_file,
                time.time(),
                len(tasks),
                image_processor,
                temp_folder,
                resize=resize,
                auto_correct=auto_correct
            )
        finally:
            pass
```

Now, you can replace both `process_folder` and `resize_images` with this new function.

### Updating the `process_file` Function

Ensure that the `process_file` function can handle both resizing and auto-correction based on the parameters:

```python
def process_file(
    path: Path,
    start_time,
    total_files,
    image_processor: 'ImageProcessor',
    temp_folder: Path,
    resize=False,
    auto_correct=False
) -> None:
    """Process a single image file."""
    if shared_state.stop_event.is_set():
        return

    img = validate_and_load_image(path)
    if img is None:
        log_error(f"Invalid image file: {path}")
        increment_processed_count(start_time, total_files)
        return

    try:
        img_array = np.array(img)
    except (OSError, ValueError) as e:
        log_error(f"Error reading image {path}: {e}")
        increment_processed_count(start_time, total_files)
        return

    relative_path = path.relative_to(Config.INPUT_FOLDER)
    temp_output_path = temp_folder / relative_path.with_suffix('.png')
    temp_output_path.parent.mkdir(parents=True, exist_ok=True)

    if auto_correct and resize:
        # Adjust and save image, then resize
        intermediate_path, _, _ = adjust_and_save_image(
            img_array, path, image_processor, temp_folder
        )
        temp_output_path = resize_image(intermediate_path, temp_output_path)
    elif auto_correct:
        # Adjust and save image without resizing
        temp_output_path, _, _ = adjust_and_save_image(
            img_array, path, image_processor, temp_folder
        )
    elif resize:
        # Only resize the original image
        temp_output_path = resize_image(path, temp_output_path)
    else:
        # Simply copy the image to the output path
        shutil.copy(str(path), str(temp_output_path))

    final_output_path = Config.OUTPUT_FOLDER / relative_path.with_suffix(
        '.jpg' if app.RESIZE_FORMAT.get() == 'jpg' else '.png'
    )
    final_output_path.parent.mkdir(parents=True, exist_ok=True)

    if app.RESIZE_FORMAT.get() == 'jpg':
        convert_png_to_jpg(temp_output_path, final_output_path)
    else:
        shutil.move(str(temp_output_path), str(final_output_path))

    increment_processed_count(start_time, total_files)
```

This `process_file` function now checks the combination of `resize` and `auto_correct` flags and processes the image accordingly.

### Adjusting the Application Logic

Update the `start_processing` method in your Tkinter application to use the new function:

```python
def start_processing(self):
    shared_state.stop_event.clear()
    self.start_button.config(state=tk.DISABLED)
    self.stop_button.config(state=tk.NORMAL)
    self.process_start_time = time.time()
    if hasattr(self, 'stopped_by_user'):
        delattr(self, 'stopped_by_user')
    choice = self.option_var.get()

    actions = {
        "1": (
            "1. Resize Images",
            process_images_in_folder,
            Config.INPUT_FOLDER,
            image_processor,
            True,  # resize
            False  # auto_correct
        ),
        "5": (
            "5. Automatic Color Correction",
            process_images_in_folder,
            Config.INPUT_FOLDER,
            image_processor,
            False,  # resize
            True    # auto_correct
        ),
        "6": (
            "6. Automatic Color Correction + Resize",
            process_images_in_folder,
            Config.INPUT_FOLDER,
            image_processor,
            True,   # resize
            True    # auto_correct
        ),
        # ... other actions remain unchanged ...
    }

    label, func, *args = actions.get(choice, ("Unknown Action", lambda: None))
    log_and_execute(choice, label, func, *args)
```

Now, when the user selects an option, the `process_images_in_folder` function is called with the appropriate flags for resizing and auto-correction.

### Benefits of Combining the Functions

Combining `process_folder` and `resize_images` into a single function provides several advantages:

- **Code Reusability:** You avoid duplicating code that collects tasks and manages threading.
- **Maintainability:** Having a single function simplifies updates and bug fixes.
- **Flexibility:** The new function can handle various combinations of processing options.
- **Readability:** Reduces the overall length of your code and makes it easier to understand.

### Conclusion

You can safely combine the `process_folder` function with another function like `resize_images` by creating a generalized function. This approach reduces redundancy and enhances the flexibility of your code. By carefully adjusting the parameters and logic, you ensure that all processing options are still available while maintaining a cleaner codebase.

turns-00031.parquet:34933

25c2c519141452cffbe56aa2
turn 1/1gpt-4o-2024-08-06RussianUnited States386 words
degenerate_repetitionAbsentFinal dense release
USER
Assistant: 
User: User: Содержание труда это ?
Assistant: Содержание труда — это совокупность задач, функций и действий, которые выполняет работник в процессе своей деятельности. Оно включает в себя как физические, так и умственные усилия, необходимые для достижения определенных результатов. Содержание труда может варьироваться в зависимости от профессии, отрасли и конкретных условий работы.
User: Увеличь объем
Assistant: Содержание труда — это комплекс задач, функций и действий, которые выполняет работник в процессе своей деятельности. Оно включает в себя как физические, так и умственные усилия, необходимые для достижения определенных результатов. 

Когда мы говорим о содержании труда, важно учитывать, что оно может варьироваться в зависимости от профессии, отрасли и конкретных условий работы. Например, в некоторых профессиях акцент может быть сделан на физическую активность, такую как работа на производственной линии, где требуется высокая степень координации и физической выносливости. В других случаях, например, в сфере информационных технологий, содержание труда может быть сосредоточено на аналитических и творческих задачах, требующих глубоких знаний и навыков.

Кроме того, содержание труда может включать в себя взаимодействие с другими людьми, решение проблем, принятие решений и управление проектами. Важно также отметить, что содержание труда может изменяться со временем в зависимости от технологических изменений, экономических условий и требований рынка труда.

Таким образом, содержание труда — это многогранное понятие, которое охватывает широкий спектр действий и усилий, необходимых для выполнения работы. Оно играет ключевую роль в определении качества и эффективности труда, а также в удовлетворенности работников своей деятельностью.
User: Содержание труда это ?
Assistant:
Assistant:
ASSISTANT
Содержание труда — это комплекс задач, функций и действий, которые выполняет работник в процессе своей профессиональной деятельности. Оно охватывает как физические, так и умственные усилия, необходимые для достижения конкретных результатов в рамках определённой профессии или должности.

Для более глубокого понимания, можно рассмотреть несколько аспектов содержания труда:

1. **Физическое содержание**: Включает использование физической силы и моторных навыков, например, при работе в строительстве или на производстве.

2. **Умственное содержание**: Подразумевает аналитическое мышление, решение сложных задач, например, в научных исследованиях или программировании.

3. **Творческое содержание**: Предполагает креативность и оригинальность, что часто необходимо в таких сферах, как искусство, дизайн или маркетинг.

4. **Социальное содержание**: Связано с взаимодействием с другими людьми, например, в профессиях, связанных с обслуживанием клиентов или руководством командой.

Содержание труда может изменяться под влиянием научно-технического прогресса, новых регулирующих норм, а также экономической ситуации. Оно играет важную роль в определении мотивации сотрудников, эффективности их работы и успеха организации в целом.

turns-00031.parquet:34934

2afdfa5edba2a659feb2d8a4
turn 1/1gpt-4o-2024-08-06EnglishUnited Kingdom793 words
degenerate_repetitionAbsentFinal dense release
USER
Assistant: 
User: [Give me only the actual fundamental news. Please provide it concisely in list format for an English learner. I prefer exact dates of future events instead of "soon" or "upcoming." If there is any big news worth mentioning, tell me. Finally, tell me what $KAVA means. Do not tell me about price technical analysis.]
16m: Bringing native $WBTC to @KAVA_CHAIN.. . This isn’t just a feature—it’s a testament to resilience &amp; forward-thinking approach that BitGo embodies.. . While many custodians fade with each passing cycle, BitGo continues to lead, innovate, and inspire.. . #Kava $KAVA
8h: The decentralized AI marketplace enables users to discover, deploy, and utilize any AI service created by the community. . . Developers have the flexibility to tailor AI extensions to suit their applications. . . The potential is limitless.. . $KAVA @KAVA_CHAIN . #Kava https://t.co/CMh5lqtjnV
23m: The #Kava've built a program that aligns with developers' goals, creating incentives to help your projects not only grow but thrive! $KAVA. . Unlock your potential &amp; learn how @KAVA_CHAIN developer reward program can elevate your projects—and your earnings: https://t.co/TWSbEYNc8f https://t.co/FpiabF1upg
1h: In an industry that moves at lightning speed &amp; thrives on constant evolution, resilience isn’t just a trait—it’s a necessity for survival.. . @BitGo is one of those rare entities that has consistently proven its staying power &amp; reliability through it all.. . @KAVA_CHAIN #Kava $KAVA https://t.co/aM1A6Ejuxi
1h: 🚀🚀. .     BitGo stands out among custodians for its resilience, having survived four market cycles, showcasing its strength and reliability in the industry, particularly with native $WBTC on Kava.. . @KAVA_CHAIN
1h: The #Kava developer reward program is crafted to reward creators just like you, whether you're bringing new protocols, applications, or dApps to life.. . Explore the benefits and see how you can earn for your contributions: https://t.co/TWSbEYNc8f. . @KAVA_CHAIN $KAVA https://t.co/9lfRhm5RLm
4y: 19 yaşındaki erkek çocuğuna 14 yaşından itibaren tecavüz eden Kızılay Beypazarı Şube Başkanı Ahmet Kavas aynı zamanda Beypazarı Merkez Tabakhane Camisinde Baş İmam Hatiplik yapıyormuş. https://t.co/YKFVirS0l4
4h: Sitarbakstayım döĞmek isteyen gelsin.. 😫😆 https://t.co/xPBgHcvvhN
2d: The Winners of the Token2049 memecoin competition is already announced. Do well to check if you're among the selected few. More updates are still coming up in the KAVA ecosystem. Watch out!!!. @KAVA_CHAIN $KAVA #KAVA
2d: Stargate Finance has integrated with #KAVA_CHAIN, enabling around $90 million in Tether USDt to be issued on #Kava for cost-efficient cross-chain transactions. Users can transfer USDt from Ethereum to Cosmos appchains by bridging it to $KAVA EVM with MetaMask. @KAVA_CHAIN https://t.co/4AwIiGRz4T
5d: #KAVA looks good here!. . $KAVA #KAVAUSDT https://t.co/rQJsJzFF1E
11h: AI will drive cross-chain marketplaces.  . . KavaAI stands out because:  . 🔸 5th largest USDt chain  . 🔸 8th largest ecosystem  . 🔸 $2.5B in bridged transactions  . 🔸 $500M+ in on-chain assets. . #Kava $KAVA. @KAVA_CHAIN https://t.co/E1JVCqme4U
4d: 🔝 TOP UNDERVALUED PROJECTS BY VALUATION MULTIPLIER. . @KAVA_CHAIN 2.544. @Celo 3.010. @dYdX 3.413. @zksync 3.544. @osmosiszone 3.735. @EOSNetworkFDN 5.620. @MultiversX 6.666. @SeiNetwork 8.211. @FantomFDN 18.181. @Stacks 26.433. . Valuation multiplier is a ratio that reflects the valuation https://t.co/QDsiFIqJND
2h: AI is set to revolutionize cross-chain marketplaces @KAVA_CHAIN. Why is #KAVA AI the best choice?  . . - 5th Largest $USDt Chain  . - 8th Largest Ecosystem  . - $2.5B in Bridged Transactions  . - $500M+ Onchain Assets  . . KavaAI's strong infrastructure positions it for success. https://t.co/r20o9CpGbD
7h: We are collaborating to mould the future of DeFi.We appreciate Binance's steadfast support of KAVA_CHAIN.   We can't wait to work together to continue creating a better future.  #KAVA $KAVA #KAVA $CHAIN #KavaHub
5d: Ganimi Kava? https://t.co/7gmgjNRncj
1h: Káva, haló, tady káva!!! https://t.co/l6k0VSmYo8
5h: #DobroJutro, #kava. ☕ https://t.co/5bZx7KVfnD
8h: Resilience is rare in industry. Few companies can claim to have survived four cycles, which sets BitGo apart from other custodians. The integration of native $WBTC on #Kava is a strong move!. . $KAVA. @KAVA_CHAIN
Assistant:
ASSISTANT
- **Recent News about Kava ($KAVA):**
  - Native Wrapped Bitcoin ($WBTC) is now available on the Kava blockchain through BitGo's custody services.  
  - A decentralized AI marketplace is now enabling users to utilize AI services on Kava.
  - Kava has launched a developer reward program to incentivize developers. 
  - Stargate Finance has integrated with Kava, allowing around $90 million in Tether (USDt) for cross-chain transactions via the Kava EVM.
  - KavaAI, part of the Kava ecosystem, is highlighted for its significant role in cross-chain marketplaces boasting $2.5 billion in bridged transactions and over $500 million in on-chain assets.

- **Key Integrations and Collaborations:**
  - Collaboration with Binance to enhance the Kava ecosystem.

- **Achievements of Kava:**
  - Kava is recognized as the 5th largest USDt chain and has the 8th largest ecosystem.

- **Understanding $KAVA:**
  - $KAVA is the native cryptocurrency of the Kava blockchain platform, which supports decentralized finance (DeFi) applications.

turns-00031.parquet:34935

e3ad8a42522080e50c0328f7
turn 1/1gpt-4o-2024-08-06SothoOman8 words
degenerate_repetitionAbsentFinal dense release
USER
Hello
ASSISTANT
Hello! How can I assist you today?

turns-00031.parquet:34936

e728a4198d7ec9e2eaa9860d
turn 1/1gpt-4o-2024-08-06EnglishOman549 words
degenerate_repetitionAbsentFinal dense release
USER
What is diabetes? I need a detailed explanation
ASSISTANT
Diabetes is a chronic health condition that affects how your body turns food into energy. There are several types of diabetes, primarily classified as type 1, type 2, and gestational diabetes, each with distinct causes and management strategies. Here's a detailed explanation:

### 1. Understanding Blood Sugar and Insulin:
- **Blood Sugar (Glucose)**: This is the primary source of energy for the cells in our body and is derived from the food we eat. It's carried through the bloodstream to reach all our cells.
  
- **Insulin**: A hormone produced by the pancreas, insulin plays a crucial role in allowing glucose to enter the cells for energy. When you eat, your blood sugar levels rise, signaling the pancreas to release insulin into the bloodstream. Insulin helps the glucose enter the cells, which lowers blood sugar levels.

### 2. Types of Diabetes:
- **Type 1 Diabetes**: 
  - **Cause**: This is an autoimmune condition where the immune system mistakenly attacks and destroys insulin-producing cells in the pancreas. As a result, little or no insulin is produced.
  - **Characteristics**: Usually diagnosed in children and young adults, though it can appear at any age. People with type 1 diabetes require daily insulin injections or an insulin pump to manage blood glucose levels.
  - **Symptoms**: Include frequent urination, increased thirst, extreme hunger, unintended weight loss, fatigue, and blurred vision.

- **Type 2 Diabetes**: 
  - **Cause**: This type largely results from the body's ineffective use of insulin (insulin resistance). Over time, the pancreas can't keep up, and the glucose remains in the blood instead of entering cells.
  - **Characteristics**: More common in adults, but increasingly being diagnosed in children, adolescents, and younger adults due to rising obesity rates. It’s closely linked to lifestyle factors and genetic predispositions.
  - **Management**: Often managed with lifestyle changes such as diet and exercise, but medication or insulin therapy might be needed.
  - **Symptoms**: Similar to type 1 but also include slow-healing sores or frequent infections, and areas of darkened skin.

- **Gestational Diabetes**: 
  - **Cause**: Occurs during pregnancy when the body cannot produce enough insulin to handle the increased glucose demands.
  - **Characteristics**: Typically resolves after childbirth, but it increases the risk of developing type 2 diabetes later in life for both the mother and child.
  - **Management**: Often involves dietary changes and physical activity; some women may need insulin therapy.

### 3. Consequences of Unmanaged Diabetes:
- If left unmanaged, diabetes can lead to serious health complications like heart disease, stroke, kidney disease, eye problems (including blindness), nerve damage, and foot problems that can lead to amputation.

### 4. Diagnosis:
- **Blood Tests**: Several tests can diagnose diabetes, including fasting blood glucose tests, oral glucose tolerance tests, and the A1C test, which measures average blood glucose over the past two to three months.

### 5. Prevention and Lifestyle Management:
- While type 1 diabetes cannot be prevented, type 2 diabetes and gestational diabetes may be managed or delayed with lifestyle changes, such as maintaining a healthy weight, eating a balanced diet, and regular physical activity.

In summary, diabetes is a complex condition with serious potential complications, but it can be managed effectively with proper medical care and lifestyle adjustments. Education and awareness are crucial for prevention and management of the disease.