# Fig Language - A Modern Scripting Language [Fig-Gitea](https://git.fig-lang.cn/PuqiAR/Fig) Recommend view on Gitea Endpoint [įŽ€äŊ“中文](README_ZH-CN.md "Chinese version") **Fig** is a statically-typed, expression-oriented programming language designed for clarity, safety, and modern development practices. With features inspired by Go, Rust, and JavaScript, Fig aims to provide a productive development experience while maintaining strong type safety. ## Features ### 🚀 Core Language Features - **Static typing with type inference** - Strong typing with minimal annotations - **Modern control flow** - Full `for` loop support with proper scoping - **First-class functions** - Lambda expressions and closures - **Rich data structures** - Structs, lists, maps, and tuples - **Memory safety** - No null pointer exceptions, automatic memory management ### 🔧 Technical Highlights - **Three-level scoping for loops** - Proper variable isolation in iterations - **Smart semicolon handling** - Flexible statement termination with RAII guards - **Comprehensive error handling** - Detailed error messages with source locations - **Clean C++ implementation** - Modern C++23 with RAII and smart pointers ### 🔧 Install # Installation ## Prerequisites **Xmake** version **3.0.0 or higher** must be installed on your system. ## Build Instructions 1. Clone the repository: ```bash git clone https://github.com/PuqiAR/Fig.git ``` 2. Navigate to the project directory: ```bash cd Fig ``` 3. Build the project: ```bash xmake build Fig ``` 4. Run the program: ```bash xmake run Fig [file] ``` Replace `[file]` with the path to your input file. ## Language Philosophy Fig is designed around several core principles: Clarity over cleverness - Code should be readable first Safety by default - Prevent common errors at compile time Modern ergonomics - Developer experience matters Gradual learning - Simple to start, powerful when needed ## Performance Summary **Version:** 0.4.2-alpha (Tree-walker Interpreter) **Test Hardware:** i5-13490F, Windows 11 **Execution Times for Fibonacci(30):** - Naive Recursion: **11.72s** - Memoization: **0.93ms** (12,600× faster) - Iteration: **0.37ms** (31,300× faster) - Tail Recursion: **0.40ms** (29,200× faster) **Visual Comparison:** ``` Naive Recursion : ████████████████████████████████████████ 11.72s Memoization : ▉ 0.93ms Iteration : ▍ 0.37ms Tail Recursion : ▎ 0.40ms ``` **Key Insight:** Algorithm choice dominates performance in this tree-walker implementation. **Detailed Reports:** [English](./docs/benchmark_result/benchmark_result_en_0.4.2-alpha.md) | [中文](./docs/benchmark_result/benchmark_result_zh_0.4.2-alpha.md) ## Language Documents see ./docs/en_US/... We're looking for translators to help translate our project and make it accessible to more language communities.