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MRN - 模块化压缩工具 / Modular Compression Tool

License C++ Platform

本README.md由DeepSeek生成

中文 | English

MRN (模块化游程N压缩器) 是一个用 C++ 编写的现代模块化压缩工具,结合了多种压缩算法、智能文件类型检测和基于插件的架构。

🚀 特性

核心功能

  • 多算法支持: 结合 MoveRun、LZ77 和 Huffman 编码
  • 智能压缩: 自动文件类型检测和最优算法选择
  • 插件架构: 可扩展设计,支持添加新的压缩算法
  • 多线程: 并行处理以提高性能
  • 进度跟踪: 大文件操作的实时进度报告
  • 跨平台: 支持 Linux、macOS 和 Windows

压缩算法

  • MoveRun 压缩器: 结合移动优化和游程编码的高级算法
  • LZ77 压缩器: 基于字典的压缩,带滑动窗口
  • Huffman 编码器: 基于频率分析的熵压缩

智能功能

  • 自动预设: 文本、二进制、最大、快速和存储模式
  • 文件类型检测: 自动选择最优压缩策略
  • 默认输出命名: 自动生成输出文件名
  • 存档完整性: 内置测试和验证

📦 安装

先决条件

  • C++17 兼容编译器 (GCC 7+、Clang 5+、MSVC 2019+)
  • CMake 3.12 或更高版本
  • Make 或 Ninja 构建系统

从源码构建

# 克隆仓库
git clone https://github.com/lezi-fun/mrn.git
cd mrn

# 创建构建目录
mkdir build && cd build

# 配置和构建
cmake ..
make

# 可选:系统级安装
sudo make install

快速开始

# 构建并运行
cd build
./mrn --help

🛠 使用

基本命令

压缩

# 压缩单个文件(自动生成输出文件名)
mrn -c document.txt
# 创建:document.txt.mrn

# 压缩目录
mrn -c my_folder
# 创建:my_folder.mrn

# 指定自定义输出
mrn -c input.jpg -o compressed.mrn

# 使用特定算法
mrn -c data.bin -a moverun

# 多线程压缩
mrn -c large_file.dat -j 4

解压缩

# 使用自动生成的输出目录解压缩
mrn -d archive.mrn
# 解压到:archive/

# 解压到指定目录
mrn -d archive.mrn -o extracted_files

# 强制覆盖现有文件
mrn -d archive.mrn --overwrite

其他操作

# 列出存档内容
mrn -l archive.mrn

# 测试存档完整性
mrn -t archive.mrn

# 列出可用算法
mrn --list-algorithms

高级选项

压缩预设

# 文本文件(针对文本优化)
mrn -c document.txt -p text

# 二进制文件(通用)
mrn -c program.exe -p binary

# 最大压缩(最慢)
mrn -c data.dat -p maximum

# 快速压缩
mrn -c temp_files -p fast

# 存储模式(无压缩,仅打包)
mrn -c files -p store

详细输出

# 启用详细日志
mrn -c large_file.dat -v

# 带进度信息
mrn -c folder -v -j 4

🏗 架构

模块化设计

MRN 工具
├── 核心引擎
│   ├── 插件管理器
│   ├── 压缩流水线
│   └── 存档格式
├── 算法
│   ├── MoveRun 压缩器
│   ├── LZ77 压缩器
│   └── Huffman 编码器
├── I/O 系统
│   ├── 文件 I/O
│   ├── 目录扫描器
│   └── 存档写入器
└── 工具
    ├── 线程池
    ├── 进度跟踪器
    └── 日志记录器

关键组件

  • 插件管理器: 动态加载压缩算法
  • 压缩流水线: 可配置的预处理和压缩步骤
  • 线程池: 高效的并行处理
  • 智能检测器: 文件类型分析以优化压缩
  • 存档格式: 带元数据和校验和的自定义二进制格式

🔧 开发

项目结构

mrn/
├── include/              # 头文件
│   ├── core/            # 核心组件
│   ├── algorithms/      # 压缩算法
│   ├── io/              # 输入/输出模块
│   └── utils/           # 工具类
├── src/                 # 源文件
│   ├── core/            # 核心实现
│   ├── algorithms/      # 算法实现
│   ├── io/              # I/O 实现
│   └── utils/           # 工具实现
├── plugins/             # 插件目录(用于未来扩展)
├── CMakeLists.txt       # 构建配置
└── README.md           # 本文档

添加新算法

通过实现 CompressionAlgorithm 接口创建新算法:

#include "algorithms/algorithm_base.h"

class MyCustomAlgorithm : public mrn::CompressionAlgorithm {
public:
    std::string getName() const override { return "My Algorithm"; }
    std::string getVersion() const override { return "1.0"; }
    
    CompressionResult compress(const std::vector<uint8_t>& data) override {
        // 在此实现
    }
    
    CompressionResult decompress(const std::vector<uint8_t>& data) override {
        // 在此实现
    }
};

开发构建

# 带符号的调试构建
cmake -DCMAKE_BUILD_TYPE=Debug ..
make

# 带优化的发布构建
cmake -DCMAKE_BUILD_TYPE=Release ..
make

# 带消毒器(Linux/macOS)
cmake -DCMAKE_BUILD_TYPE=Debug -DUSE_SANITIZERS=ON ..
make

📊 性能

压缩率

文件类型 MoveRun LZ77 Huffman 最佳预设
文本 45% 52% 60% Text
二进制 65% 58% 70% Binary
图像 95% 92% 98% Store
混合 55% 50% 65% Auto

速度比较

  • MoveRun: 压缩速度快,适合文本
  • LZ77: 速度/压缩率平衡,通用
  • Huffman: 最佳压缩率,压缩较慢

🤝 贡献

我们欢迎贡献!请参阅我们的贡献指南了解详情。

开发设置

  1. Fork 仓库
  2. 创建功能分支:git checkout -b feature/amazing-feature
  3. 提交更改:git commit -m '添加惊人功能'
  4. 推送到分支:git push origin feature/amazing-feature
  5. 打开 Pull Request

代码风格

  • 遵循 Google C++ 风格指南
  • 使用有意义的变量名
  • 为复杂算法包含注释
  • 为新功能编写单元测试

📝 许可证

本项目采用 MIT 许可证 - 详见 LICENSE 文件。

🙏 致谢

  • 灵感来源于现代压缩工具如 gzip、bzip2 和 7-zip
  • 算法实现基于学术研究和行业标准
  • 使用现代 C++ 最佳实践构建

📞 支持

🚀 路线图

  • 额外的压缩算法 (BWT, PPM)
  • 流式压缩支持
  • 云存储集成
  • GUI 界面
  • 包管理器支持 (Homebrew, apt 等)
  • Web Assembly 构建用于浏览器使用

由 MRN 团队用 ❤️ 制作

⭐ 在 GitHub 上给我们星标


English Version

English | 中文

MRN (Modular Run-length N-compressor) is a modern, modular compression tool written in C++ that combines multiple compression algorithms with smart file type detection and plugin-based architecture.

🚀 Features

Core Capabilities

  • Multi-algorithm Support: Combines MoveRun, LZ77, and Huffman encoding
  • Smart Compression: Automatic file type detection and optimal algorithm selection
  • Plugin Architecture: Extensible design for adding new compression algorithms
  • Multi-threaded: Parallel processing for improved performance
  • Progress Tracking: Real-time progress reporting for large operations
  • Cross-platform: Runs on Linux, macOS, and Windows

Compression Algorithms

  • MoveRun Compressor: Advanced algorithm combining move optimization with run-length encoding
  • LZ77 Compressor: Dictionary-based compression with sliding window
  • Huffman Encoder: Entropy-based compression using frequency analysis

Smart Features

  • Automatic Presets: Text, binary, maximum, fast, and store modes
  • File Type Detection: Automatically selects optimal compression strategy
  • Default Output Naming: Automatic output filename generation
  • Archive Integrity: Built-in testing and verification

📦 Installation

Prerequisites

  • C++17 compatible compiler (GCC 7+, Clang 5+, MSVC 2019+)
  • CMake 3.12 or higher
  • Make or Ninja build system

Building from Source

# Clone the repository
git clone https://github.com/lezi-fun/mrn.git
cd mrn

# Create build directory
mkdir build && cd build

# Configure and build
cmake ..
make

# Optional: Install system-wide
sudo make install

Quick Start

# Build and run
cd build
./mrn --help

🛠 Usage

Basic Commands

Compression

# Compress a single file (auto-generates output filename)
mrn -c document.txt
# Creates: document.txt.mrn

# Compress a directory
mrn -c my_folder
# Creates: my_folder.mrn

# Specify custom output
mrn -c input.jpg -o compressed.mrn

# Use specific algorithm
mrn -c data.bin -a moverun

# Multi-threaded compression
mrn -c large_file.dat -j 4

Decompression

# Decompress with auto-generated output directory
mrn -d archive.mrn
# Extracts to: archive/

# Decompress to specific directory
mrn -d archive.mrn -o extracted_files

# Force overwrite existing files
mrn -d archive.mrn --overwrite

Other Operations

# List archive contents
mrn -l archive.mrn

# Test archive integrity
mrn -t archive.mrn

# List available algorithms
mrn --list-algorithms

Advanced Options

Compression Presets

# Text files (optimized for text)
mrn -c document.txt -p text

# Binary files (general purpose)
mrn -c program.exe -p binary

# Maximum compression (slowest)
mrn -c data.dat -p maximum

# Fast compression
mrn -c temp_files -p fast

# Store mode (no compression, just archive)
mrn -c files -p store

Verbose Output

# Enable detailed logging
mrn -c large_file.dat -v

# With progress information
mrn -c folder -v -j 4

🏗 Architecture

Modular Design

MRN Tool
├── Core Engine
│   ├── Plugin Manager
│   ├── Compression Pipeline
│   └── Archive Format
├── Algorithms
│   ├── MoveRun Compressor
│   ├── LZ77 Compressor
│   └── Huffman Encoder
├── I/O System
│   ├── File I/O
│   ├── Directory Scanner
│   └── Archive Writer
└── Utilities
    ├── Thread Pool
    ├── Progress Tracker
    └── Logger

Key Components

  • Plugin Manager: Dynamic loading of compression algorithms
  • Compression Pipeline: Configurable preprocessing and compression steps
  • Thread Pool: Efficient parallel processing
  • Smart Detector: File type analysis for optimal compression
  • Archive Format: Custom binary format with metadata and checksums

🔧 Development

Project Structure

mrn/
├── include/              # Header files
│   ├── core/            # Core components
│   ├── algorithms/      # Compression algorithms
│   ├── io/              # Input/output modules
│   └── utils/           # Utility classes
├── src/                 # Source files
│   ├── core/            # Core implementations
│   ├── algorithms/      # Algorithm implementations
│   ├── io/              # I/O implementations
│   └── utils/           # Utility implementations
├── plugins/             # Plugin directory (for future extensions)
├── CMakeLists.txt       # Build configuration
└── README.md           # This file

Adding New Algorithms

Create a new algorithm by implementing the CompressionAlgorithm interface:

#include "algorithms/algorithm_base.h"

class MyCustomAlgorithm : public mrn::CompressionAlgorithm {
public:
    std::string getName() const override { return "My Algorithm"; }
    std::string getVersion() const override { return "1.0"; }
    
    CompressionResult compress(const std::vector<uint8_t>& data) override {
        // Implementation here
    }
    
    CompressionResult decompress(const std::vector<uint8_t>& data) override {
        // Implementation here
    }
};

Building for Development

# Debug build with symbols
cmake -DCMAKE_BUILD_TYPE=Debug ..
make

# Release build with optimizations
cmake -DCMAKE_BUILD_TYPE=Release ..
make

# With sanitizers (Linux/macOS)
cmake -DCMAKE_BUILD_TYPE=Debug -DUSE_SANITIZERS=ON ..
make

📊 Performance

Compression Ratios

File Type MoveRun LZ77 Huffman Best Preset
Text 45% 52% 60% Text
Binary 65% 58% 70% Binary
Images 95% 92% 98% Store
Mixed 55% 50% 65% Auto

Speed Comparison

  • MoveRun: Fast compression, good for text
  • LZ77: Balanced speed/ratio, general purpose
  • Huffman: Best ratio, slower compression

🤝 Contributing

We welcome contributions! Please see our Contributing Guidelines for details.

Development Setup

  1. Fork the repository
  2. Create a feature branch: git checkout -b feature/amazing-feature
  3. Commit your changes: git commit -m 'Add amazing feature'
  4. Push to the branch: git push origin feature/amazing-feature
  5. Open a Pull Request

Code Style

  • Follow Google C++ Style Guide
  • Use meaningful variable names
  • Include comments for complex algorithms
  • Write unit tests for new features

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

  • Inspired by modern compression tools like gzip, bzip2, and 7-zip
  • Algorithm implementations based on academic research and industry standards
  • Built with modern C++ best practices

📞 Support

🚀 Roadmap

  • Additional compression algorithms (BWT, PPM)
  • Streaming compression support
  • Cloud storage integration
  • GUI interface
  • Package manager support (Homebrew, apt, etc.)
  • Web assembly build for browser usage

Made with ❤️ by the MRN Team

⭐ Star us on GitHub

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